1
|
Tian R, Ma W, Wang L, Xie W, Wang Y, Yin Y, Weng T, He S, Fang S, Liang L, Wang L, Wang D, Bai J. The combination of DNA nanostructures and materials for highly sensitive electrochemical detection. Bioelectrochemistry 2024; 157:108651. [PMID: 38281367 DOI: 10.1016/j.bioelechem.2024.108651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 01/30/2024]
Abstract
Due to the wide range of electrochemical devices available, DNA nanostructures and material-based technologies have been greatly broadened. They have been actively used to create a variety of beautiful nanostructures owing to their unmatched programmability. Currently, a variety of electrochemical devices have been used for rapid sensing of biomolecules and other diagnostic applications. Here, we provide a brief overview of recent advances in DNA-based biomolecular assays. Biosensing platform such as electrochemical biosensor, nanopore biosensor, and field-effect transistor biosensors (FET), which are equipped with aptamer, DNA walker, DNAzyme, DNA origami, and nanomaterials, has been developed for amplification detection. Under the optimal conditions, the proposed biosensor has good amplification detection performance. Further, we discussed the challenges of detection strategies in clinical applications and offered the prospect of this field.
Collapse
Affiliation(s)
- Rong Tian
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China.
| | - Wenhao Ma
- Bioengineering College of Chongqing University, Chongqing 400044, PR China
| | - Lue Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, PR China
| | - Wanyi Xie
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Yunjiao Wang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Yajie Yin
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Ting Weng
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Shixuan He
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Shaoxi Fang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Liyuan Liang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Liang Wang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China.
| | - Deqiang Wang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China.
| | - Jingwei Bai
- School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, PR China
| |
Collapse
|
2
|
Aminiranjbar Z, Gultakti CA, Alangari MN, Wang Y, Demir B, Koker Z, Das AK, Anantram MP, Oren EE, Hihath J. Identifying SARS-CoV-2 Variants Using Single-Molecule Conductance Measurements. ACS Sens 2024. [PMID: 38773960 DOI: 10.1021/acssensors.3c02734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2024]
Abstract
The global COVID-19 pandemic has highlighted the need for rapid, reliable, and efficient detection of biological agents and the necessity of tracking changes in genetic material as new SARS-CoV-2 variants emerge. Here, we demonstrate that RNA-based, single-molecule conductance experiments can be used to identify specific variants of SARS-CoV-2. To this end, we (i) select target sequences of interest for specific variants, (ii) utilize single-molecule break junction measurements to obtain conductance histograms for each sequence and its potential mutations, and (iii) employ the XGBoost machine learning classifier to rapidly identify the presence of target molecules in solution with a limited number of conductance traces. This approach allows high-specificity and high-sensitivity detection of RNA target sequences less than 20 base pairs in length by utilizing a complementary DNA probe capable of binding to the specific target. We use this approach to directly detect SARS-CoV-2 variants of concerns B.1.1.7 (Alpha), B.1.351 (Beta), B.1.617.2 (Delta), and B.1.1.529 (Omicron) and further demonstrate that the specific sequence conductance is sensitive to nucleotide mismatches, thus broadening the identification capabilities of the system. Thus, our experimental methodology detects specific SARS-CoV-2 variants, as well as recognizes the emergence of new variants as they arise.
Collapse
Affiliation(s)
- Zahra Aminiranjbar
- Department of Electrical and Computer Engineering, University of California Davis, Davis, California 95616, United States
| | - Caglanaz Akin Gultakti
- Bionanodesign Laboratory, Department of Biomedical Engineering, TOBB University of Economics and Technology, Ankara 06560, Turkey
- Department of Materials Science & Nanotechnology Engineering, TOBB University of Economics and Technology, Ankara 06560, Turkey
| | - Mashari Nasser Alangari
- Department of Electrical and Computer Engineering, University of California Davis, Davis, California 95616, United States
- Department of Electrical Engineering, University of Hail, Hail 2240, Saudi Arabia
| | - Yiren Wang
- Department of Electrical Engineering, University of Washington, Seattle, Washington 98115, United States
| | - Busra Demir
- Bionanodesign Laboratory, Department of Biomedical Engineering, TOBB University of Economics and Technology, Ankara 06560, Turkey
- Department of Materials Science & Nanotechnology Engineering, TOBB University of Economics and Technology, Ankara 06560, Turkey
| | - Zeynep Koker
- Bionanodesign Laboratory, Department of Biomedical Engineering, TOBB University of Economics and Technology, Ankara 06560, Turkey
| | - Arindam K Das
- Department of Electrical Engineering, University of Washington, Seattle, Washington 98115, United States
- Department of Computer Science and Electrical Engineering, Eastern Washington University, Cheney, Washington 99004,United States
| | - M P Anantram
- Department of Electrical Engineering, University of Washington, Seattle, Washington 98115, United States
| | - Ersin Emre Oren
- Bionanodesign Laboratory, Department of Biomedical Engineering, TOBB University of Economics and Technology, Ankara 06560, Turkey
- Department of Materials Science & Nanotechnology Engineering, TOBB University of Economics and Technology, Ankara 06560, Turkey
| | - Joshua Hihath
- Department of Electrical and Computer Engineering, University of California Davis, Davis, California 95616, United States
- Center for Bioelectronics and Biosensors, School of Electrical, Computer, and Energy Engineering, Arizona State University, Phoenix, Arizona 85287, United States
| |
Collapse
|
3
|
Li X, Sun R, Pan J, Shi Z, An Z, Dai C, Lv J, Liu G, Liang H, Liu J, Lu Y, Zhang F, Liu Q. Rapid and on-site wireless immunoassay of respiratory virus aerosols via hydrogel-modulated resonators. Nat Commun 2024; 15:4035. [PMID: 38740742 DOI: 10.1038/s41467-024-48294-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/26/2024] [Indexed: 05/16/2024] Open
Abstract
Rapid and accurate detection of respiratory virus aerosols is highlighted for virus surveillance and infection control. Here, we report a wireless immunoassay technology for fast (within 10 min), on-site (wireless and battery-free), and sensitive (limit of detection down to fg/L) detection of virus antigens in aerosols. The wireless immunoassay leverages the immuno-responsive hydrogel-modulated radio frequency resonant sensor to capture and amplify the recognition of virus antigen, and flexible readout network to transduce the immuno bindings into electrical signals. The wireless immunoassay achieves simultaneous detection of respiratory viruses such as severe acute respiratory syndrome coronavirus 2, influenza A H1N1 virus, and respiratory syncytial virus for community infection surveillance. Direct detection of unpretreated clinical samples further demonstrates high accuracy for diagnosis of respiratory virus infection. This work provides a sensitive and accurate immunoassay technology for on-site virus detection and disease diagnosis compatible with wearable integration.
Collapse
Affiliation(s)
- Xin Li
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- Taizhou Key Laboratory of Medical Devices and Advanced Materials, Research Institute of Zhejiang University-Taizhou, Taizhou, 318000, China
| | - Rujing Sun
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Biosafety III Laboratory, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jingying Pan
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- School of Medicine, Zhejiang University, Hangzhou, 310027, China
| | - Zhenghan Shi
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Zijian An
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Chaobo Dai
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Jingjiang Lv
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Guang Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Hao Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Biosafety III Laboratory, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jun Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- Taizhou Key Laboratory of Medical Devices and Advanced Materials, Research Institute of Zhejiang University-Taizhou, Taizhou, 318000, China
| | - Yanli Lu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- Intelligent Perception Research Institute, Zhejiang Lab, Hangzhou, 311100, China
| | - Fenni Zhang
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Qingjun Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China.
- Taizhou Key Laboratory of Medical Devices and Advanced Materials, Research Institute of Zhejiang University-Taizhou, Taizhou, 318000, China.
| |
Collapse
|
4
|
Kissmann AK, Bolotnikov G, Li R, Müller F, Xing H, Krämer M, Gottschalk KE, Andersson J, Weil T, Rosenau F. IMPATIENT-qPCR: monitoring SELEX success during in vitro aptamer evolution. Appl Microbiol Biotechnol 2024; 108:284. [PMID: 38573322 PMCID: PMC10995058 DOI: 10.1007/s00253-024-13085-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/07/2024] [Accepted: 02/19/2024] [Indexed: 04/05/2024]
Abstract
SELEX (Systematic Evolution of Ligands by Exponential enrichment) processes aim on the evolution of high-affinity aptamers as binding entities in diagnostics and biosensing. Aptamers can represent game-changers as constituents of diagnostic assays for the management of instantly occurring infectious diseases or other health threats. Without in-process quality control measures SELEX suffers from low overall success rates. We present a quantitative PCR method for fast and easy quantification of aptamers bound to their targets. Simultaneous determination of melting temperatures (Tm) of each SELEX round delivers information on the evolutionary success via the correlation of increasing GC content and Tm alone with a round-wise increase of aptamer affinity to the respective target. Based on nine successful and published previous SELEX processes, in which the evolution/selection of aptamer affinity/specificity was demonstrated, we here show the functionality of the IMPATIENT-qPCR for polyclonal aptamer libraries and resulting individual aptamers. Based on the ease of this new evolution quality control, we hope to introduce it as a valuable tool to accelerate SELEX processes in general. IMPATIENT-qPCR SELEX success monitoring. Selection and evolution of high-affinity aptamers using SELEX technology with direct aptamer evolution monitoring using melting curve shifting analyses to higher Tm by quantitative PCR with fluorescence dye SYBR Green I. KEY POINTS: • Fast and easy analysis. • Universal applicability shown for a series of real successful projects.
Collapse
Affiliation(s)
- Ann-Kathrin Kissmann
- Institute of Pharmaceutical Biotechnology, Ulm University, Albert-Einstein-Allee 11, 89081, Ulm, Germany
- Max Planck Institute for Polymer Research Mainz, Ackermannweg 10, 55128, Mainz, Germany
| | - Grigory Bolotnikov
- Institute of Pharmaceutical Biotechnology, Ulm University, Albert-Einstein-Allee 11, 89081, Ulm, Germany
| | - Runliu Li
- Institute of Pharmaceutical Biotechnology, Ulm University, Albert-Einstein-Allee 11, 89081, Ulm, Germany
| | - Franziska Müller
- Institute of Pharmaceutical Biotechnology, Ulm University, Albert-Einstein-Allee 11, 89081, Ulm, Germany
| | - Hu Xing
- Institute of Pharmaceutical Biotechnology, Ulm University, Albert-Einstein-Allee 11, 89081, Ulm, Germany
| | - Markus Krämer
- Institute of Pharmaceutical Biotechnology, Ulm University, Albert-Einstein-Allee 11, 89081, Ulm, Germany
| | - Kay-E Gottschalk
- Institute of Experimental Physics, Ulm University, Albert-Einstein-Allee 11, 89081, Ulm, Germany
| | - Jakob Andersson
- AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210, Vienna, Austria
| | - Tanja Weil
- Max Planck Institute for Polymer Research Mainz, Ackermannweg 10, 55128, Mainz, Germany
| | - Frank Rosenau
- Institute of Pharmaceutical Biotechnology, Ulm University, Albert-Einstein-Allee 11, 89081, Ulm, Germany.
| |
Collapse
|
5
|
Wang X, Kang H, Huang K, Guo M, Wu Y, Ying T, Liu Y, Wei D. Antibody Nanotweezer Constructing Bivalent Transistor-Biomolecule Interface with Spatial Tolerance. NANO LETTERS 2024; 24:3914-3921. [PMID: 38513214 DOI: 10.1021/acs.nanolett.3c05140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Establishing a multivalent interface between the biointerface of a living system and electronic device is vital to building intelligent bioelectronic systems. How to achieve multivalent binding with spatial tolerance at the nanoscale remains challenging. Here, we report an antibody nanotweezer that is a self-adaptive bivalent nanobody enabling strong and resilient binding between transistor and envelope proteins at biointerfaces. The antibody nanotweezer is constructed by a DNA framework, where the nanoscale patterning of nanobodies along with their local spatial adaptivity enables simultaneous recognition of target epitopes without binding stress. As such, effective binding affinity increases by 1 order of magnitude compared with monovalent antibody. The antibody nanotweezer operating on transistor offers enhanced signal transduction, which is implemented to detect clinical pathogens, showing ∼100% overall agreement with PCR results. This work provides a perspective of engineering multivalent interfaces between biosystems with solid-state devices, holding great potential for organoid intelligence on a chip.
Collapse
Affiliation(s)
- Xuejun Wang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Department of Material Science, Fudan University, Shanghai 200433, China
| | - Hua Kang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Department of Material Science, Fudan University, Shanghai 200433, China
| | - Keke Huang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), Department of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Mingquan Guo
- Shanghai Institute of Phage, Department of Laboratory Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Yanling Wu
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), Department of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Tianlei Ying
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), Department of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Yunqi Liu
- Laboratory of Molecular Materials and Devices, Department of Material Science, Fudan University, Shanghai 200433, China
| | - Dacheng Wei
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Department of Material Science, Fudan University, Shanghai 200433, China
| |
Collapse
|
6
|
Sengupta J, Hussain CM. Graphene transistor-based biosensors for rapid detection of SARS-CoV-2. Bioelectrochemistry 2024; 156:108623. [PMID: 38070365 DOI: 10.1016/j.bioelechem.2023.108623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 11/28/2023] [Accepted: 11/30/2023] [Indexed: 01/14/2024]
Abstract
Field-effect transistor (FET) biosensors use FETs to detect changes in the amount of electrical charge caused by biomolecules like antigens and antibodies. COVID-19 can be detected by employing these biosensors by immobilising bio-receptor molecules that bind to the SARS-CoV-2 virus on the FET channel surface and subsequent monitoring of the changes in the current triggered by the virus. Graphene Field-effect Transistor (GFET)-based biosensors utilise graphene, a two-dimensional material with high electrical conductivity, as the sensing element. These biosensors can rapidly detect several biomolecules including the SARS-CoV-2 virus, which is responsible for COVID-19. GFETs are ideal for real-time infectious illness diagnosis due to their great sensitivity and specificity. These graphene transistor-based biosensors could revolutionise clinical diagnostics by generating fast, accurate data that could aid pandemic management. GFETs can also be integrated into point-of-care (POC) diagnostic equipment. Recent advances in GFET-type biosensors for SARS-CoV-2 detection are discussed here, along with their associated challenges and future scope.
Collapse
Affiliation(s)
- Joydip Sengupta
- Department of Electronic Science, Jogesh Chandra Chaudhuri College, Kolkata 700033, India.
| | - Chaudhery Mustansar Hussain
- Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, 07102, NJ, USA.
| |
Collapse
|
7
|
Wang L, Wen Y, Li L, Yang X, Li W, Cao M, Tao Q, Sun X, Liu G. Development of Optical Differential Sensing Based on Nanomaterials for Biological Analysis. BIOSENSORS 2024; 14:170. [PMID: 38667163 PMCID: PMC11048167 DOI: 10.3390/bios14040170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 03/25/2024] [Accepted: 03/29/2024] [Indexed: 04/28/2024]
Abstract
The discrimination and recognition of biological targets, such as proteins, cells, and bacteria, are of utmost importance in various fields of biological research and production. These include areas like biological medicine, clinical diagnosis, and microbiology analysis. In order to efficiently and cost-effectively identify a specific target from a wide range of possibilities, researchers have developed a technique called differential sensing. Unlike traditional "lock-and-key" sensors that rely on specific interactions between receptors and analytes, differential sensing makes use of cross-reactive receptors. These sensors offer less specificity but can cross-react with a wide range of analytes to produce a large amount of data. Many pattern recognition strategies have been developed and have shown promising results in identifying complex analytes. To create advanced sensor arrays for higher analysis efficiency and larger recognizing range, various nanomaterials have been utilized as sensing probes. These nanomaterials possess distinct molecular affinities, optical/electrical properties, and biological compatibility, and are conveniently functionalized. In this review, our focus is on recently reported optical sensor arrays that utilize nanomaterials to discriminate bioanalytes, including proteins, cells, and bacteria.
Collapse
Affiliation(s)
| | - Yanli Wen
- Key Laboratory of Bioanalysis and Metrology for State Market Regulation, Shanghai Institute of Measurement and Testing Technology, 1500 Zhang Heng Road, Shanghai 201203, China; (L.W.); (L.L.); (X.Y.); (W.L.); (M.C.); (Q.T.); (X.S.)
| | | | | | | | | | | | | | - Gang Liu
- Key Laboratory of Bioanalysis and Metrology for State Market Regulation, Shanghai Institute of Measurement and Testing Technology, 1500 Zhang Heng Road, Shanghai 201203, China; (L.W.); (L.L.); (X.Y.); (W.L.); (M.C.); (Q.T.); (X.S.)
| |
Collapse
|
8
|
Zhao Y, Han J, Huang J, Huang Q, Tao Y, Gu R, Li HY, Zhang Y, Zhang H, Liu H. A miniprotein receptor electrochemical biosensor chip based on quantum dots. LAB ON A CHIP 2024; 24:1875-1886. [PMID: 38372578 DOI: 10.1039/d3lc01100c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Recently protein binders have emerged as a promising substitute for antibodies due to their high specificity and low cost. Herein, we demonstrate an electrochemical biosensor chip through the electronic labelling strategy using lead sulfide (PbS) colloidal quantum dots (CQDs) and the unnatural SARS-CoV-2 spike miniprotein receptor LCB. The unnatural receptor can be utilized as a molecular probe for the construction of CQD-based electrochemical biosensor chips, through which the specific binding of LCB and the spike protein is transduced to sensor electrical signals. The biosensor exhibits a good linear response in the concentration range of 10 pg mL-1 to 1 μg mL-1 (13.94 fM to 1.394 nM) with the limit of detection (LOD) being 3.31 pg mL-1 (4.607 fM for the three-electrode system) and 9.58 fg mL-1 (0.013 fM for the HEMT device). Due to the high sensitivity of the electrochemical biosensor, it was also used to study the binding kinetics between the unnatural receptor LCB and spike protein, which has achieved comparable results as those obtained with commercial equipment. To the best of our knowledge, this is the first example of using a computationally designed miniprotein receptor based on electrochemical methods, and it is the first kinetic assay performed with an electrochemical assay alone. The miniprotein receptor electrochemical biosensor based on QDs is desirable for fabricating high-throughput, large-area, wafer-scale biochips.
Collapse
Affiliation(s)
- Yunong Zhao
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
| | - Juan Han
- Department of Biotechnology, College of Life Science and Technology, MOE Key Laboratory of Molecular Biophysics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
| | - Jing Huang
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
| | - Qing Huang
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
| | - Yanbing Tao
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
| | - Ruiqin Gu
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
| | - Hua-Yao Li
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
| | - Yang Zhang
- Key Laboratory of Semiconductor Materials Science, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
- College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Houjin Zhang
- Department of Biotechnology, College of Life Science and Technology, MOE Key Laboratory of Molecular Biophysics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
| | - Huan Liu
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
| |
Collapse
|
9
|
Shi C, Yang D, Ma X, Pan L, Shao Y, Arya G, Ke Y, Zhang C, Wang F, Zuo X, Li M, Wang P. A Programmable DNAzyme for the Sensitive Detection of Nucleic Acids. Angew Chem Int Ed Engl 2024; 63:e202320179. [PMID: 38288561 DOI: 10.1002/anie.202320179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Indexed: 02/17/2024]
Abstract
Nucleic acids in biofluids are emerging biomarkers for the molecular diagnostics of diseases, but their clinical use has been hindered by the lack of sensitive detection assays. Herein, we report the development of a sensitive nucleic acid detection assay named SPOT (sensitive loop-initiated DNAzyme biosensor for nucleic acid detection) by rationally designing a catalytic DNAzyme of endonuclease capability into a unified one-stranded allosteric biosensor. SPOT is activated once a nucleic acid target of a specific sequence binds to its allosteric module to enable continuous cleavage of molecular reporters. SPOT provides a highly robust platform for sensitive, convenient and cost-effective detection of low-abundance nucleic acids. For clinical validation, we demonstrated that SPOT could detect serum miRNAs for the diagnostics of breast cancer, gastric cancer and prostate cancer. Furthermore, SPOT exhibits potent detection performance over SARS-CoV-2 RNA from clinical swabs with high sensitivity and specificity. Finally, SPOT is compatible with point-of-care testing modalities such as lateral flow assays. Hence, we envision that SPOT may serve as a robust assay for the sensitive detection of a variety of nucleic acid targets enabling molecular diagnostics in clinics.
Collapse
Affiliation(s)
- Chenzhi Shi
- Institute of Molecular Medicine, Department of Laboratory Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Center for DNA Information Storage, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Donglei Yang
- Institute of Molecular Medicine, Department of Laboratory Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Center for DNA Information Storage, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Xiaowei Ma
- Institute of Molecular Medicine, Department of Laboratory Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Center for DNA Information Storage, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Li Pan
- Institute of Molecular Medicine, Department of Laboratory Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Center for DNA Information Storage, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yuanchuan Shao
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, 27708, USA
| | - Gaurav Arya
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina, 27708, USA
| | - Yonggang Ke
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, 30322, USA
| | - Chuan Zhang
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Key Laboratory for Molecular Engineering of Chiral Drugs, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Fuan Wang
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, Hubei, 430072, China
| | - Xiaolei Zuo
- Institute of Molecular Medicine, Department of Laboratory Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Center for DNA Information Storage, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Min Li
- Institute of Molecular Medicine, Department of Laboratory Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Center for DNA Information Storage, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Pengfei Wang
- Institute of Molecular Medicine, Department of Laboratory Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Center for DNA Information Storage, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| |
Collapse
|
10
|
Lu X, Zhou X, Song B, Zhang H, Cheng M, Zhu X, Wu Y, Shi H, Chu B, He Y, Wang H, Hong J. Framework Nucleic Acids Combined with 3D Hybridization Chain Reaction Amplifiers for Monitoring Multiple Human Tear Cytokines. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2400622. [PMID: 38489844 DOI: 10.1002/adma.202400622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 03/04/2024] [Indexed: 03/17/2024]
Abstract
Existing tear sensors are difficult to perform multiplexed assays due to the minute amounts of biomolecules in tears and the tiny volume of tears. Herein, the authors leverage DNA tetrahedral frameworks (DTFs) modified on the wireless portable electrodes to effectively capture 3D hybridization chain reaction (HCR) amplifiers for automatic and sensitive monitoring of multiple cytokines in human tears. The developed sensors allow the sensitive determination of various dry eye syndrome (DES)-associated cytokines in human tears with the limit of detection down to 0.1 pg mL-1, consuming as little as 3 mL of tear fluid. Double-blind testing of clinical DES samples using the developed sensor and commercial ELISA shows no significant difference between them. Compared with single-biomarker diagnosis, the diagnostic accuracy of this sensor based on multiple biomarkers has improved by ≈16%. The developed system offers the potential for tear sensors to enable personalized and accurate diagnosis of various ocular diseases.
Collapse
Affiliation(s)
- Xing Lu
- Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials & Collaborative Innovation Center of Suzhou Nano Science and Technology (NANO-CIC), Soochow University, Suzhou, 215123, China
| | - Xujiao Zhou
- Department of Ophthalmology and Vision Science, Shanghai Eye, Ear, Nose and Throat Hospital, Fudan University, Shanghai, 200031, China
| | - Bin Song
- Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials & Collaborative Innovation Center of Suzhou Nano Science and Technology (NANO-CIC), Soochow University, Suzhou, 215123, China
| | - Hong Zhang
- Department of Ophthalmology and Vision Science, Shanghai Eye, Ear, Nose and Throat Hospital, Fudan University, Shanghai, 200031, China
| | - Mingrui Cheng
- Department of Ophthalmology and Vision Science, Shanghai Eye, Ear, Nose and Throat Hospital, Fudan University, Shanghai, 200031, China
| | - Xingyu Zhu
- Department of Ophthalmology and Vision Science, Shanghai Eye, Ear, Nose and Throat Hospital, Fudan University, Shanghai, 200031, China
| | - Yuqi Wu
- Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials & Collaborative Innovation Center of Suzhou Nano Science and Technology (NANO-CIC), Soochow University, Suzhou, 215123, China
| | - Haoliang Shi
- Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials & Collaborative Innovation Center of Suzhou Nano Science and Technology (NANO-CIC), Soochow University, Suzhou, 215123, China
| | - Binbin Chu
- Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials & Collaborative Innovation Center of Suzhou Nano Science and Technology (NANO-CIC), Soochow University, Suzhou, 215123, China
| | - Yao He
- Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials & Collaborative Innovation Center of Suzhou Nano Science and Technology (NANO-CIC), Soochow University, Suzhou, 215123, China
- Macao Translatoinal Medicine Center, Macau University of Science and Technology, Taipa, Macau SAR, 999078, China
- Institute of Materials Science and Engineering, Macau University of Science and Technology, Taipa, Macau SAR, 999078, China
| | - Houyu Wang
- Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials & Collaborative Innovation Center of Suzhou Nano Science and Technology (NANO-CIC), Soochow University, Suzhou, 215123, China
| | - Jiaxu Hong
- Department of Ophthalmology and Vision Science, Shanghai Eye, Ear, Nose and Throat Hospital, Fudan University, Shanghai, 200031, China
- Shanghai Engineering Research Center of Synthetic Immunology, Shanghai, 200032, China
| |
Collapse
|
11
|
Yang B, Wang H, Kong J, Fang X. Long-term monitoring of ultratrace nucleic acids using tetrahedral nanostructure-based NgAgo on wearable microneedles. Nat Commun 2024; 15:1936. [PMID: 38431675 PMCID: PMC10908814 DOI: 10.1038/s41467-024-46215-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 02/19/2024] [Indexed: 03/05/2024] Open
Abstract
Real-time and continuous monitoring of nucleic acid biomarkers with wearable devices holds potential for personal health management, especially in the context of pandemic surveillance or intensive care unit disease. However, achieving high sensitivity and long-term stability remains challenging. Here, we report a tetrahedral nanostructure-based Natronobacterium gregoryi Argonaute (NgAgo) for long-term stable monitoring of ultratrace unamplified nucleic acids (cell-free DNAs and RNAs) in vivo for sepsis on wearable device. This integrated wireless wearable consists of a flexible circuit board, a microneedle biosensor, and a stretchable epidermis patch with enrichment capability. We comprehensively investigate the recognition mechanism of nucleic acids by NgAgo/guide DNA and signal transformation within the Debye distance. In vivo experiments demonstrate the suitability for real-time monitoring of cell-free DNA and RNA with a sensitivity of 0.3 fM up to 14 days. These results provide a strategy for highly sensitive molecular recognition in vivo and for on-body detection of nucleic acid.
Collapse
Affiliation(s)
- Bin Yang
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433, PR China
| | - Haonan Wang
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433, PR China
| | - Jilie Kong
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433, PR China
| | - Xueen Fang
- Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433, PR China.
| |
Collapse
|
12
|
Feng R, Fu S, Liu H, Wang Y, Liu S, Wang K, Chen B, Zhang X, Hu L, Chen Q, Cai T, Han X, Wang C. Single-Atom Site SERS Chip for Rapid, Ultrasensitive, and Reproducible Direct-Monitoring of RNA Binding. Adv Healthc Mater 2024; 13:e2301146. [PMID: 38176000 DOI: 10.1002/adhm.202301146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 12/11/2023] [Indexed: 01/06/2024]
Abstract
Ribonucleic acids (RNA) play active roles within cells or viruses by catalyzing biological reactions, controlling gene expression, and communicating responses to cellular signals. Rapid monitoring RNA variation has become extremely important for appropriate clinical decisions and frontier biological research. However, the most widely used method for RNA detection, nucleic acid amplification, is restricted by a mandatory temperature cycling period of ≈1 h required to reach target detection criteria. Herein, a direct detection approach via single-atom site integrated surface-enhanced Raman scattering (SERS) monitoring nucleic acid pairing reaction, can be completed within 3 min and reaches high sensitivity and extreme reproducibility for COVID-19 and two other influenza viruses' detection. The mechanism is that a single-atom site on SERS chip, enabled by positioning a single-atom oxide coordinated with a specific complementary RNA probe on chip nanostructure hotspots, can effectively bind target RNA analytes to enrich them at designed sites so that the binding reaction can be detected through Raman signal variation. This ultrafast, sensitive, and reproducible single-atom site SERS chip approach paves the route for an alternative technique of immediate RNA detection. Moreover, single-atom site SERS is a novel surface enrichment strategy for SERS active sites for other analytes at ultralow concentrations.
Collapse
Affiliation(s)
- Ran Feng
- Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, Ningbo No. 2 Hospital, Ningbo, 315012, China
- Beijing Key Laboratory of Microstructure and Properties of Solids, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
| | - Shaohua Fu
- Key Laboratory of Luminescence and Optical Information, Ministry of Education, Institute of Optoelectronic Technology, Beijing Jiaotong University, Beijing, 100044, China
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China
| | | | - Ying Wang
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
| | - Simiao Liu
- Thorgene Co., Ltd, Beijing, 100176, China
| | - Kaiwen Wang
- Beijing Key Laboratory of Microstructure and Properties of Solids, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
| | - Binbin Chen
- Beijing Key Laboratory of Microstructure and Properties of Solids, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
| | - Xiaoxian Zhang
- Key Laboratory of Luminescence and Optical Information, Ministry of Education, Institute of Optoelectronic Technology, Beijing Jiaotong University, Beijing, 100044, China
| | - Liming Hu
- Beijing Key Laboratory of Microstructure and Properties of Solids, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
| | - Qian Chen
- Thorgene Co., Ltd, Beijing, 100176, China
| | - Ting Cai
- Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, Ningbo No. 2 Hospital, Ningbo, 315012, China
| | - Xiaodong Han
- Beijing Key Laboratory of Microstructure and Properties of Solids, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
| | - Cong Wang
- Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, Ningbo No. 2 Hospital, Ningbo, 315012, China
- Beijing Key Laboratory of Microstructure and Properties of Solids, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
- Thorgene Co., Ltd, Beijing, 100176, China
| |
Collapse
|
13
|
Gao Y, Wang Y. Interplay of graphene-DNA interactions: Unveiling sensing potential of graphene materials. APPLIED PHYSICS REVIEWS 2024; 11:011306. [PMID: 38784221 PMCID: PMC11115426 DOI: 10.1063/5.0171364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
Graphene-based materials and DNA probes/nanostructures have emerged as building blocks for constructing powerful biosensors. Graphene-based materials possess exceptional properties, including two-dimensional atomically flat basal planes for biomolecule binding. DNA probes serve as excellent selective probes, exhibiting specific recognition capabilities toward diverse target analytes. Meanwhile, DNA nanostructures function as placement scaffolds, enabling the precise organization of molecular species at nanoscale and the positioning of complex biomolecular assays. The interplay of DNA probes/nanostructures and graphene-based materials has fostered the creation of intricate hybrid materials with user-defined architectures. This advancement has resulted in significant progress in developing novel biosensors for detecting DNA, RNA, small molecules, and proteins, as well as for DNA sequencing. Consequently, a profound understanding of the interactions between DNA and graphene-based materials is key to developing these biological devices. In this review, we systematically discussed the current comprehension of the interaction between DNA probes and graphene-based materials, and elucidated the latest advancements in DNA probe-graphene-based biosensors. Additionally, we concisely summarized recent research endeavors involving the deposition of DNA nanostructures on graphene-based materials and explored imminent biosensing applications by seamlessly integrating DNA nanostructures with graphene-based materials. Finally, we delineated the primary challenges and provided prospective insights into this rapidly developing field. We envision that this review will aid researchers in understanding the interactions between DNA and graphene-based materials, gaining deeper insight into the biosensing mechanisms of DNA-graphene-based biosensors, and designing novel biosensors for desired applications.
Collapse
Affiliation(s)
- Yanjing Gao
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - Yichun Wang
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, USA
| |
Collapse
|
14
|
Kong D, Zhang S, Guo M, Li S, Wang Q, Gou J, Wu Y, Chen Y, Yang Y, Dai C, Tian Z, Wee ATS, Liu Y, Wei D. Ultra-Fast Single-Nucleotide-Variation Detection Enabled by Argonaute-Mediated Transistor Platform. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2307366. [PMID: 37805919 DOI: 10.1002/adma.202307366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 10/03/2023] [Indexed: 10/09/2023]
Abstract
"Test-and-go" single-nucleotide variation (SNV) detection within several minutes remains challenging, especially in low-abundance samples, since existing methods face a trade-off between sensitivity and testing speed. Sensitive detection usually relies on complex and time-consuming nucleic acid amplification or sequencing. Here, a graphene field-effect transistor (GFET) platform mediated by Argonaute protein that enables rapid, sensitive, and specific SNV detection is developed. The Argonaute protein provides a nanoscale binding channel to preorganize the DNA probe, accelerating target binding and rapidly recognizing SNVs with single-nucleotide resolution in unamplified tumor-associated microRNA, circulating tumor DNA, virus RNA, and reverse transcribed cDNA when a mismatch occurs in the seed region. An integrated microchip simultaneously detects multiple SNVs in agreement with sequencing results within 5 min, achieving the fastest SNV detection in a "test-and-go" manner without the requirement of nucleic acid extraction, reverse transcription, and amplification.
Collapse
Affiliation(s)
- Derong Kong
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai, 200433, P. R. China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai, 200433, P. R. China
| | - Shen Zhang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai, 200433, P. R. China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai, 200433, P. R. China
| | - Mingquan Guo
- Department of Laboratory Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 200433, P. R. China
| | - Shenwei Li
- Shanghai International Travel Healthcare Center, Shanghai, 200335, P. R. China
| | - Qiang Wang
- Shanghai International Travel Healthcare Center, Shanghai, 200335, P. R. China
| | - Jian Gou
- Department of Physics, National University of Singapore, Singapore, 117542, Singapore
| | - Yungen Wu
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai, 200433, P. R. China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai, 200433, P. R. China
| | - Yiheng Chen
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai, 200433, P. R. China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai, 200433, P. R. China
| | - Yuetong Yang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai, 200433, P. R. China
| | - Changhao Dai
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai, 200433, P. R. China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai, 200433, P. R. China
| | - Zhengan Tian
- Shanghai International Travel Healthcare Center, Shanghai, 200335, P. R. China
| | - Andrew Thye Shen Wee
- Department of Physics, National University of Singapore, Singapore, 117542, Singapore
| | - Yunqi Liu
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai, 200433, P. R. China
- Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, P. R. China
| | - Dacheng Wei
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai, 200433, P. R. China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai, 200433, P. R. China
| |
Collapse
|
15
|
Xiong H, Zhu C, Dai C, Ye X, Li Y, Li P, Yang S, Ashraf G, Wei D, Chen H, Shen H, Kong J, Fang X. An Alternating Current Electroosmotic Flow-Based Ultrasensitive Electrochemiluminescence Microfluidic System for Ultrafast Monitoring, Detection of Proteins/miRNAs in Unprocessed Samples. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2307840. [PMID: 38070186 PMCID: PMC10853704 DOI: 10.1002/advs.202307840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/16/2023] [Indexed: 02/10/2024]
Abstract
Early diagnosis of acute diseases is restricted by the sensitivity and complex process of sample treatment. Here, an ultrasensitive, rapid, and portable electrochemiluminescence-microfluidic (ECL-M) system is described via sandwich-type immunoassay and surface plasmonic resonance (SPR) assay. Using a sandwich immunoreaction approach, the ECL-M system employs cardiac troponin-I antigen (cTnI) as a detection model with a Ru@SiO2 NPs labeled antibody as the signal probe. For miR-499-5p detection, gold nanoparticles generate SPR effects to enhance Ru(bpy)3 2+ ECL signals. The system based on alternating current (AC) electroosmotic flow achieves an LOD of 2 fg mL-1 for cTnI in 5 min and 10 aM for miRNAs in 10 min at room temperature. The point-of-care testing (POCT) device demonstrated 100% sensitivity and 98% specificity for cTnI detection in 123 clinical serum samples. For miR-499-5p, it exhibited 100% sensitivity and 97% specificity in 55 clinical serum samples. Continuous monitoring of these biomarkers in rats' saliva, urine, and interstitial fluid samples for 48 hours revealed observations rarely documented in biotic fluids. The ECL-M POCT device stands as a top-performing system for ECL analysis, offering immense potential for ultrasensitive, rapid, highly accurate, and facile detection and monitoring of acute diseases in POC settings.
Collapse
Affiliation(s)
- Huiwen Xiong
- Department of ChemistryFudan UniversityShanghai200438P. R. China
| | - Chenxin Zhu
- Institutes of Biomedical Sciences and Minhang HospitalFudan UniversityShanghai200032P. R. China
| | - Changhao Dai
- State Key Laboratory of Molecular Engineering of PolymersDepartment of Macromolecular ScienceFudan UniversityShanghai200438P. R. China
| | - Xin Ye
- Department of Laboratory MedicineThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxi710061P. R. China
| | - Yuanyuan Li
- Yizheng Hospital of Traditional Chinese MedicineYangzhou211400P. R. China
| | - Pintao Li
- Department of ChemistryFudan UniversityShanghai200438P. R. China
| | - Shuang Yang
- Institutes of Biomedical Sciences and Minhang HospitalFudan UniversityShanghai200032P. R. China
| | - Ghazala Ashraf
- Department of ChemistryFudan UniversityShanghai200438P. R. China
| | - Dacheng Wei
- State Key Laboratory of Molecular Engineering of PolymersDepartment of Macromolecular ScienceFudan UniversityShanghai200438P. R. China
| | - Hui Chen
- Department of ChemistryFudan UniversityShanghai200438P. R. China
| | - Huali Shen
- Institutes of Biomedical Sciences and Minhang HospitalFudan UniversityShanghai200032P. R. China
| | - Jilie Kong
- Department of ChemistryFudan UniversityShanghai200438P. R. China
| | - Xueen Fang
- Department of ChemistryFudan UniversityShanghai200438P. R. China
| |
Collapse
|
16
|
Chieng A, Wan Z, Wang S. Recent Advances in Real-Time Label-Free Detection of Small Molecules. BIOSENSORS 2024; 14:80. [PMID: 38391999 PMCID: PMC10886562 DOI: 10.3390/bios14020080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 01/27/2024] [Accepted: 01/30/2024] [Indexed: 02/24/2024]
Abstract
The detection and analysis of small molecules, typically defined as molecules under 1000 Da, is of growing interest ranging from the development of small-molecule drugs and inhibitors to the sensing of toxins and biomarkers. However, due to challenges such as their small size and low mass, many biosensing technologies struggle to have the sensitivity and selectivity for the detection of small molecules. Notably, their small size limits the usage of labeled techniques that can change the properties of small-molecule analytes. Furthermore, the capability of real-time detection is highly desired for small-molecule biosensors' application in diagnostics or screening. This review highlights recent advances in label-free real-time biosensing technologies utilizing different types of transducers to meet the growing demand for small-molecule detection.
Collapse
Affiliation(s)
- Andy Chieng
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA; (A.C.); (Z.W.)
- School of Molecular Science, Arizona State University, Tempe, AZ 85287, USA
| | - Zijian Wan
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA; (A.C.); (Z.W.)
| | - Shaopeng Wang
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA; (A.C.); (Z.W.)
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA
| |
Collapse
|
17
|
Aftab S, Li X, Hussain S, Aslam M, Hegazy HH, Abd-Rabboh HSM, Koyyada G, Kim JH. Nanomaterials-Based Field-Effect Transistor for Protein Sensing: New Advances. ACS Sens 2024; 9:9-22. [PMID: 38156963 DOI: 10.1021/acssensors.3c01728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
It is crucial for early stage medical diagnostics to identify disease biomarkers at ultralow concentrations. A wide range of analytes can be identified using low-dimensional materials to build highly sensitive, targeted, label-free, field-effect transistor (FET) biosensors. Two-dimensional (2D) materials are preferable for high-performance biosensing because of their dramatic change in resistivity upon analyte adsorption or biomarker detection, tunable electronic properties, high surface activities, adequate stability, and layer-dependent semiconducting properties. We give a succinct overview of interesting applications for protein sensing with various architectural styles, such as 2D transition metal dichalcogenides (TMDs)-based FETs that include carbon nanotubes (CNTs), graphene (Gr), reduced graphene oxide (rGr), 2D transition-metal carbides (MXene), and Gr/MXene heterostructures. Because it might enable individuals to perform better, this review will be an important contribution to the field of medical science. These achievements demonstrate point-of-care diagnostics' abilities to detect biomarkers at ultrahigh performance levels. A summary of the present opportunities and challenges appears in the conclusion.
Collapse
Affiliation(s)
- Sikandar Aftab
- Department of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, South Korea
| | - Xin Li
- State Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei 230037, Anhui China
- Anhui Laboratory of Advanced Laser Technology, Hefei 230037, Anhui, China
| | - Sajjad Hussain
- Department of Nanotechnology and Advanced Materials Engineering, Sejong University, Seoul 05006, South Korea
| | - Muhammad Aslam
- Institute of Physics and Technology, Ural Federal University, Mira Str.19, 620002 Yekaterinburg, Russia
| | - Hosameldin Helmy Hegazy
- Physics Department, Faculty of Science, King Khalid University, Abha 61421, Saudi Arabia
- Research Center for Advanced Materials Science (RCAMS), King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia
| | - Hisham S M Abd-Rabboh
- Chemistry Department, Faculty of Science, King Khalid University, PO Box 9004, Abha 61413, Saudi Arabia
| | - Ganesh Koyyada
- School of Chemical Engineering, Yeungnam University, Daehak-ro 280, Gyeongsan, Gyeongbuk 38541, South Korea
| | - Jae Hong Kim
- School of Chemical Engineering, Yeungnam University, Daehak-ro 280, Gyeongsan, Gyeongbuk 38541, South Korea
| |
Collapse
|
18
|
Katiyar AK, Hoang AT, Xu D, Hong J, Kim BJ, Ji S, Ahn JH. 2D Materials in Flexible Electronics: Recent Advances and Future Prospectives. Chem Rev 2024; 124:318-419. [PMID: 38055207 DOI: 10.1021/acs.chemrev.3c00302] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
Flexible electronics have recently gained considerable attention due to their potential to provide new and innovative solutions to a wide range of challenges in various electronic fields. These electronics require specific material properties and performance because they need to be integrated into a variety of surfaces or folded and rolled for newly formatted electronics. Two-dimensional (2D) materials have emerged as promising candidates for flexible electronics due to their unique mechanical, electrical, and optical properties, as well as their compatibility with other materials, enabling the creation of various flexible electronic devices. This article provides a comprehensive review of the progress made in developing flexible electronic devices using 2D materials. In addition, it highlights the key aspects of materials, scalable material production, and device fabrication processes for flexible applications, along with important examples of demonstrations that achieved breakthroughs in various flexible and wearable electronic applications. Finally, we discuss the opportunities, current challenges, potential solutions, and future investigative directions about this field.
Collapse
Affiliation(s)
- Ajit Kumar Katiyar
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Anh Tuan Hoang
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Duo Xu
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Juyeong Hong
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Beom Jin Kim
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Seunghyeon Ji
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Jong-Hyun Ahn
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| |
Collapse
|
19
|
de Araujo WR, Lukas H, Torres MDT, Gao W, de la Fuente-Nunez C. Low-Cost Biosensor Technologies for Rapid Detection of COVID-19 and Future Pandemics. ACS NANO 2024; 18:1757-1777. [PMID: 38189684 DOI: 10.1021/acsnano.3c01629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Many systems have been designed for the detection of SARS-CoV-2, which is the virus that causes COVID-19. SARS-CoV-2 is readily transmitted, resulting in the rapid spread of disease in human populations. Frequent testing at the point of care (POC) is a key aspect for controlling outbreaks caused by SARS-CoV-2 and other emerging pathogens, as the early identification of infected individuals can then be followed by appropriate measures of isolation or treatment, maximizing the chances of recovery and preventing infectious spread. Diagnostic tools used for high-frequency testing should be inexpensive, provide a rapid diagnostic response without sophisticated equipment, and be amenable to manufacturing on a large scale. The application of these devices should enable large-scale data collection, help control viral transmission, and prevent disease propagation. Here we review functional nanomaterial-based optical and electrochemical biosensors for accessible POC testing for COVID-19. These biosensors incorporate nanomaterials coupled with paper-based analytical devices and other inexpensive substrates, traditional lateral flow technology (antigen and antibody immunoassays), and innovative biosensing methods. We critically discuss the advantages and disadvantages of nanobiosensor-based approaches compared to widely used technologies such as PCR, ELISA, and LAMP. Moreover, we delineate the main technological, (bio)chemical, translational, and regulatory challenges associated with developing functional and reliable biosensors, which have prevented their translation into the clinic. Finally, we highlight how nanobiosensors, given their unique advantages over existing diagnostic tests, may help in future pandemics.
Collapse
Affiliation(s)
- William Reis de Araujo
- Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas - UNICAMP, Campinas, SP 13083-970, Brazil
| | - Heather Lukas
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
| | - Marcelo D T Torres
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
| | - Cesar de la Fuente-Nunez
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| |
Collapse
|
20
|
Zhang X, Chen S, Ma H, Sun T, Cui X, Huo P, Man B, Yang C. Asymmetric Schottky Barrier-Generated MoS 2/WTe 2 FET Biosensor Based on a Rectified Signal. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:226. [PMID: 38276744 PMCID: PMC10820193 DOI: 10.3390/nano14020226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/09/2024] [Accepted: 01/14/2024] [Indexed: 01/27/2024]
Abstract
Field-effect transistor (FET) biosensors can be used to measure the charge information carried by biomolecules. However, insurmountable hysteresis in the long-term and large-range transfer characteristic curve exists and affects the measurements. Noise signal, caused by the interference coefficient of external factors, may destroy the quantitative analysis of trace targets in complex biological systems. In this report, a "rectified signal" in the output characteristic curve, instead of the "absolute value signal" in the transfer characteristic curve, is obtained and analyzed to solve these problems. The proposed asymmetric Schottky barrier-generated MoS2/WTe2 FET biosensor achieved a 105 rectified signal, sufficient reliability and stability (maintained for 60 days), ultra-sensitive detection (10 aM) of the Down syndrome-related DYRK1A gene, and excellent specificity in base recognition. This biosensor with a response range of 10 aM-100 pM has significant application potential in the screening and rapid diagnosis of Down syndrome.
Collapse
Affiliation(s)
- Xinhao Zhang
- School of Physics and Electronics, Shandong Normal University, Jinan 250014, China; (X.Z.); (S.C.); (H.M.); (T.S.); (X.C.); (P.H.)
| | - Shuo Chen
- School of Physics and Electronics, Shandong Normal University, Jinan 250014, China; (X.Z.); (S.C.); (H.M.); (T.S.); (X.C.); (P.H.)
| | - Heqi Ma
- School of Physics and Electronics, Shandong Normal University, Jinan 250014, China; (X.Z.); (S.C.); (H.M.); (T.S.); (X.C.); (P.H.)
| | - Tianyu Sun
- School of Physics and Electronics, Shandong Normal University, Jinan 250014, China; (X.Z.); (S.C.); (H.M.); (T.S.); (X.C.); (P.H.)
| | - Xiangyong Cui
- School of Physics and Electronics, Shandong Normal University, Jinan 250014, China; (X.Z.); (S.C.); (H.M.); (T.S.); (X.C.); (P.H.)
| | - Panpan Huo
- School of Physics and Electronics, Shandong Normal University, Jinan 250014, China; (X.Z.); (S.C.); (H.M.); (T.S.); (X.C.); (P.H.)
| | - Baoyuan Man
- School of Physics and Electronics, Shandong Normal University, Jinan 250014, China; (X.Z.); (S.C.); (H.M.); (T.S.); (X.C.); (P.H.)
| | - Cheng Yang
- School of Physics and Electronics, Shandong Normal University, Jinan 250014, China; (X.Z.); (S.C.); (H.M.); (T.S.); (X.C.); (P.H.)
- Shandong Provincial Engineering and Technical Center of Light Manipulations, Shandong Normal University, Jinan 250014, China
| |
Collapse
|
21
|
Marvi F, Jafari K, Shahabadi M, Tabarzad M, Ghorbani-Bidkorpeh F, Azad T. Ultrasensitive detection of vital biomolecules based on a multi-purpose BioMEMS for Point of care testing: digoxin measurement as a case study. Sci Rep 2024; 14:1633. [PMID: 38238435 PMCID: PMC10796958 DOI: 10.1038/s41598-024-51864-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 01/10/2024] [Indexed: 01/22/2024] Open
Abstract
Rapid and label-free detection of very low concentrations of biomarkers in disease diagnosis or therapeutic drug monitoring is essential to prevent disease progression in Point of Care Testing. For this purpose, we propose a multi-purpose optical Bio-Micro-Electro-Mechanical-System (BioMEMS) sensing platform which can precisely measure very small changes of biomolecules concentrations in plasma-like buffer samples. This is realized by the development of an interferometric detection method on highly sensitive MEMS transducers (cantilevers). This approach facilitates the precise analysis of the obtained results to determine the analyte type and its concentrations. Furthermore, the proposed multi-purpose platform can be used for a wide range of biological assessments in various concentration levels by the use of an appropriate bioreceptor and the control of its coating density on the cantilever surface. In this study, the present system is prepared for the identification of digoxin medication in its therapeutic window for therapeutic drug monitoring as a case study. The experimental results represent the repeatability and stability of the proposed device as well as its capability to detect the analytes in less than eight minutes for all samples. In addition, according to the experiments carried out for very low concentrations of digoxin in plasma-like buffer, the detection limit of LOD = 300 fM and the maximum sensitivity of S = 5.5 × 1012 AU/M are achieved for the implemented biosensor. The present ultrasensitive multi-purpose BioMEMS sensor can be a fully-integrated, cost-effective device to precisely analyze various biomarker concentrations for various biomedical applications.
Collapse
Affiliation(s)
- Fahimeh Marvi
- CenBRAIN Neurotech Center of Excellence, School of Engineering, Westlake University, Hangzhou, China
| | - Kian Jafari
- Mechanical Engineering Department, Faculty of Engineering, Université de Sherbrooke, 2500 Boul. de l'Université, Sherbrooke, QC, Canada.
- Interdisciplinary Institute for Technological Innovation (3IT), Université de Sherbrooke (UdeS), Quebec, J1K 2R1, Canada.
| | - Mahmoud Shahabadi
- School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Maryam Tabarzad
- Protein Technology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fatemeh Ghorbani-Bidkorpeh
- Department of Pharmaceutics and Pharmaceutical Nanotechnology, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Taha Azad
- Faculty of Medicine and Health Sciences, Department of Microbiology and Infectious Diseases, Université de Sherbrooke, Sherbrooke, QC, J1E 4K8, Canada
- Centre de Recherche du CHUS, Sherbrooke, QC, J1H 5N4, Canada
| |
Collapse
|
22
|
Qi L, Liu J, Liu S, Liu Y, Xiao Y, Zhang Z, Zhou W, Jiang Y, Fang X. Ultrasensitive Point-of-Care Detection of Protein Markers Using an Aptamer-CRISPR/Cas12a-Regulated Liquid Crystal Sensor (ALICS). Anal Chem 2024; 96:866-875. [PMID: 38164718 DOI: 10.1021/acs.analchem.3c04492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Despite extensive efforts, point-of-care testing (POCT) of protein markers with high sensitivity and specificity and at a low cost remains challenging. In this work, we developed an aptamer-CRISPR/Cas12a-regulated liquid crystal sensor (ALICS), which achieved ultrasensitive protein detection using a smartphone-coupled portable device. Specifically, a DNA probe that contained an aptamer sequence for the protein target and an activation sequence for the Cas12a-crRNA complex was prefixed on a substrate and was released in the presence of target. The activation sequence of the DNA probe then bound to the Cas12a-crRNA complex to activate the collateral cleavage reaction, producing a bright-to-dark optical change in a DNA-functionalized liquid crystal interface. The optical image was captured by a smartphone for quantification of the target concentration. For the two model proteins, SARS-CoV-2 nucleocapsid protein (N protein) and carcino-embryonic antigen (CEA), ALICS achieved detection limits of 0.4 and 20 pg/mL, respectively, which are higher than the typical sensitivity of the SARS-CoV-2 test and the clinical CEA test. In the clinical sample tests, ALICS also exhibited superior performances compared to those of the commercial ELISA and lateral flow test kits. Overall, ALICS represents an ultrasensitive and cost-effective platform for POCT, showing a great potential for pathogen detection and disease monitoring under resource-limited conditions.
Collapse
Affiliation(s)
- Lubin Qi
- Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, PR China
| | - Jie Liu
- Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, PR China
| | - Songlin Liu
- Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, PR China
| | - Yang Liu
- Department of Orthopedics, Second Affiliated Hospital of Shandong First Medical University, Taian 271000, PR China
| | - Yating Xiao
- School of Molecular Medicine, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, PR China
| | - Zhen Zhang
- Beijing National Research Center for Molecular Sciences, Institute of Chemistry, Key Laboratory of Molecular Nanostructure and Nanotechnology, Chinese Academy of Science, Beijing 100190, PR China
| | - Wei Zhou
- Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, PR China
| | - Yifei Jiang
- Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, PR China
| | - Xiaohong Fang
- Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, PR China
- School of Molecular Medicine, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, PR China
- Beijing National Research Center for Molecular Sciences, Institute of Chemistry, Key Laboratory of Molecular Nanostructure and Nanotechnology, Chinese Academy of Science, Beijing 100190, PR China
| |
Collapse
|
23
|
He J, Cao X, Liu H, Liang Y, Chen H, Xiao M, Zhang Z. Power and Sensitivity Management of Carbon Nanotube Transistor Glucose Biosensors. ACS APPLIED MATERIALS & INTERFACES 2024; 16:1351-1360. [PMID: 38150673 DOI: 10.1021/acsami.3c17309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Abstract
Continuous glucose monitoring (CGM), which is significant for the daily management of diabetes, requires a low-power-consumption sensor system that can track low nanomolar levels of glucose in physiological fluids, such as sweat and tears. However, traditional electrochemical methods are limited to analytes in micromolar to millimolar ranges and entail high power consumption. Carbon nanotube (CNT) film field-effect transistors (FETs) are promising for constructing extremely sensitive biosensors, but their wide applications in CGM are limited by the strong screening effect of physiological fluids and the zero charge of glucose molecules. In this study, we demonstrate a glucose aptamer-modified CNT FET biosensor to realize a highly sensitive CGM system with sub-nW power consumption by applying a suitable gate voltage. A positive gate voltage can enlarge the effective Debye screening length at the double layer to reduce the local ion population nearby and then improve the sensitivity of the FET-based biosensors by 5 times. We construct CNT FET sensors for CGM with a limit of detection of 0.5 fM, a record dynamic range up to 109, and a power consumption down to ∼100 pW. The proposed field-modulated sensing performance scheme is applicable to other aptamer-based FET biosensors for detecting neutral or less charged molecules and opens opportunities to develop facilely modulated, highly sensitive, low-power, and noninvasive CGM systems.
Collapse
Affiliation(s)
- Jianping He
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan 411105, China
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, Department of Electronics, Peking University, Beijing 100871, China
| | - Xianmao Cao
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, Department of Electronics, Peking University, Beijing 100871, China
- School of Integrated Circuits, Beijing University of Posts and Telecommunications, Beijing 100876, China
| | - Haiyang Liu
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, Department of Electronics, Peking University, Beijing 100871, China
| | - Yuqi Liang
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, Department of Electronics, Peking University, Beijing 100871, China
| | - Hong Chen
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan 411105, China
| | - Mengmeng Xiao
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan 411105, China
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, Department of Electronics, Peking University, Beijing 100871, China
| | - Zhiyong Zhang
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan 411105, China
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, Department of Electronics, Peking University, Beijing 100871, China
| |
Collapse
|
24
|
Liu Y, Li Y, Hang Y, Wang L, Wang J, Bao N, Kim Y, Jang HW. Rapid assays of SARS-CoV-2 virus and noble biosensors by nanomaterials. NANO CONVERGENCE 2024; 11:2. [PMID: 38190075 PMCID: PMC10774473 DOI: 10.1186/s40580-023-00408-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024]
Abstract
The COVID-19 outbreak caused by SARS-CoV-2 in late 2019 has spread rapidly across the world to form a global epidemic of respiratory infectious diseases. Increased investigations on diagnostic tools are currently implemented to assist rapid identification of the virus because mass and rapid diagnosis might be the best way to prevent the outbreak of the virus. This critical review discusses the detection principles, fabrication techniques, and applications on the rapid detection of SARS-CoV-2 with three categories: rapid nuclear acid augmentation test, rapid immunoassay test and biosensors. Special efforts were put on enhancement of nanomaterials on biosensors for rapid, sensitive, and low-cost diagnostics of SARS-CoV-2 virus. Future developments are suggested regarding potential candidates in hospitals, clinics and laboratories for control and prevention of large-scale epidemic.
Collapse
Affiliation(s)
- Yang Liu
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea
- NantongEgens Biotechnology Co., LTD, Nantong, 226019, Jiangsu, People's Republic of China
| | - Yilong Li
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
| | - Yuteng Hang
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
| | - Lei Wang
- NantongEgens Biotechnology Co., LTD, Nantong, 226019, Jiangsu, People's Republic of China
| | - Jinghan Wang
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea
| | - Ning Bao
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
| | - Youngeun Kim
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Ho Won Jang
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea.
| |
Collapse
|
25
|
Ma S, Ren Q, Jiang L, Liu Z, Zhu Y, Zhu J, Zhang Y, Zhang M. A triple-aptamer tetrahedral DNA nanostructures based carbon-nanotube-array transistor biosensor for rapid virus detection. Talanta 2024; 266:124973. [PMID: 37506519 DOI: 10.1016/j.talanta.2023.124973] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/15/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023]
Abstract
Outbreaks of infectious viruses cause enormous challenges to global public health. Recently, the coronavirus disease 2019 (COVID-19) induced by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has severely threatened human health and resulted in the global pandemic. A strategy to detect SARS-CoV-2 with both fast sensing speed and high accuracy is urgently required. Here, rapid detection of SARS-CoV-2 antigen using carbon-nanotube-array-based thin-film transistor (CNT-array-based TFT) biosensors merged with tetrahedral DNA nanostructures (TDNs) and triple aptamers is demonstrated for the first time. Compared with CNT-network-based TFT biosensors and metal-electrode-based CNT-TFT biosensors, the response of CNT-array-based TFT biosensors can be enhanced up to 102% for SARS-CoV-2 receptor-binding domain (RBD) detection, which is supported by its sensing mechanism. By combining TDNs with triple aptamers, the biosensor has realized the wildtype SARS-CoV-2 RBD detection in a broad detection range spanning eight orders of magnitude with a low limit of detection (LOD) of 10 aM (6 copies/μL) owing to the improved protein capture efficiency. Moreover, the triple-aptamer biosensor platform has achieved the detection of SARS-CoV-2 Omicron RBD in a low LOD of 6 aM (3.6 copies/μL). Additionally, the CNT-array-based TFT biosensors have exhibited excellent specificity, enabling identification among SARS-CoV-2 antigen, SARS-CoV antigen and MERS-CoV antigen. The platform of CNT-array-based TFT biosensors combined with TDNs and triple aptamers provides a high-performance and rapid approach for SARS-CoV-2 detection, and its versatility by altering specific aptamers enables the possibility for rapid virus detection.
Collapse
Affiliation(s)
- Shenhui Ma
- Key Laboratory of Wide Band-Gap Semiconductor Materials and Devices, School of Microelectronics, Xidian University, Xi'an, 710071, China; School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Qinqi Ren
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Leying Jiang
- State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University, Shenzhen, 518055, China
| | - Zhihong Liu
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Yang Zhu
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Jiahao Zhu
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Yaping Zhang
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
| | - Min Zhang
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China.
| |
Collapse
|
26
|
Zhang W, Chen X, Xing Y, Chen J, Guo L, Huang Q, Li H, Liu H. Design and Construction of Enzyme-Based Electrochemical Gas Sensors. Molecules 2023; 29:5. [PMID: 38202588 PMCID: PMC10780131 DOI: 10.3390/molecules29010005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/08/2023] [Accepted: 12/15/2023] [Indexed: 01/12/2024] Open
Abstract
The demand for the ubiquitous detection of gases in complex environments is driving the design of highly specific gas sensors for the development of the Internet of Things, such as indoor air quality testing, human exhaled disease detection, monitoring gas emissions, etc. The interaction between analytes and bioreceptors can described as a "lock-and-key", in which the specific catalysis between enzymes and gas molecules provides a new paradigm for the construction of high-sensitivity and -specificity gas sensors. The electrochemical method has been widely used in gas detection and in the design and construction of enzyme-based electrochemical gas sensors, in which the specificity of an enzyme to a substrate is determined by a specific functional domain or recognition interface, which is the active site of the enzyme that can specifically catalyze the gas reaction, and the electrode-solution interface, where the chemical reaction occurs, respectively. As a result, the engineering design of the enzyme electrode interface is crucial in the process of designing and constructing enzyme-based electrochemical gas sensors. In this review, we summarize the design of enzyme-based electrochemical gas sensors. We particularly focus on the main concepts of enzyme electrodes and the selection and design of materials, as well as the immobilization of enzymes and construction methods. Furthermore, we discuss the fundamental factors that affect electron transfer at the enzyme electrode interface for electrochemical gas sensors and the challenges and opportunities related to the design and construction of these sensors.
Collapse
Affiliation(s)
- Wenjian Zhang
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China; (W.Z.); (X.C.); (Y.X.); (J.C.); (L.G.); (Q.H.); (H.L.)
| | - Xinyi Chen
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China; (W.Z.); (X.C.); (Y.X.); (J.C.); (L.G.); (Q.H.); (H.L.)
| | - Yingying Xing
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China; (W.Z.); (X.C.); (Y.X.); (J.C.); (L.G.); (Q.H.); (H.L.)
| | - Jingqiu Chen
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China; (W.Z.); (X.C.); (Y.X.); (J.C.); (L.G.); (Q.H.); (H.L.)
| | - Lanpeng Guo
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China; (W.Z.); (X.C.); (Y.X.); (J.C.); (L.G.); (Q.H.); (H.L.)
| | - Qing Huang
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China; (W.Z.); (X.C.); (Y.X.); (J.C.); (L.G.); (Q.H.); (H.L.)
| | - Huayao Li
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China; (W.Z.); (X.C.); (Y.X.); (J.C.); (L.G.); (Q.H.); (H.L.)
- Wenzhou Key Laboratory of Optoelectronic Materials and Devices Application, Wenzhou Advanced Manufacturing Institute of HUST, 1085 Meiquan Road, Wenzhou 325035, China
| | - Huan Liu
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China; (W.Z.); (X.C.); (Y.X.); (J.C.); (L.G.); (Q.H.); (H.L.)
| |
Collapse
|
27
|
Lee S, Bi L, Chen H, Lin D, Mei R, Wu Y, Chen L, Joo SW, Choo J. Recent advances in point-of-care testing of COVID-19. Chem Soc Rev 2023; 52:8500-8530. [PMID: 37999922 DOI: 10.1039/d3cs00709j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2023]
Abstract
Advances in microfluidic device miniaturization and system integration contribute to the development of portable, handheld, and smartphone-compatible devices. These advancements in diagnostics have the potential to revolutionize the approach to detect and respond to future pandemics. Accordingly, herein, recent advances in point-of-care testing (POCT) of coronavirus disease 2019 (COVID-19) using various microdevices, including lateral flow assay strips, vertical flow assay strips, microfluidic channels, and paper-based microfluidic devices, are reviewed. However, visual determination of the diagnostic results using only microdevices leads to many false-negative results due to the limited detection sensitivities of these devices. Several POCT systems comprising microdevices integrated with portable optical readers have been developed to address this issue. Since the outbreak of COVID-19, effective POCT strategies for COVID-19 based on optical detection methods have been established. They can be categorized into fluorescence, surface-enhanced Raman scattering, surface plasmon resonance spectroscopy, and wearable sensing. We introduced next-generation pandemic sensing methods incorporating artificial intelligence that can be used to meet global health needs in the future. Additionally, we have discussed appropriate responses of various testing devices to emerging infectious diseases and prospective preventive measures for the post-pandemic era. We believe that this review will be helpful for preparing for future infectious disease outbreaks.
Collapse
Affiliation(s)
- Sungwoon Lee
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea.
| | - Liyan Bi
- School of Special Education and Rehabilitation, Binzhou Medical University, Yantai, 264003, China
| | - Hao Chen
- School of Environmental and Material Engineering, Yantai University, Yantai 264005, China
| | - Dong Lin
- School of Pharmacy, Bianzhou Medical University, Yantai, 264003, China
| | - Rongchao Mei
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai 264003, China
| | - Yixuan Wu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai 264003, China
| | - Lingxin Chen
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai 264003, China
- School of Pharmacy, Bianzhou Medical University, Yantai, 264003, China
| | - Sang-Woo Joo
- Department of Information Communication, Materials, and Chemistry Convergence Technology, Soongsil University, Seoul 06978, South Korea
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea.
| |
Collapse
|
28
|
Ren Z, Wang J, Xue C, Deng M, Yu H, Lin T, Zheng J, He R, Wang X, Li J. Ultrahighly Sensitive and Selective Glutathione Sensor Based on Carbon Dot-Functionalized Solution-Gate Graphene Transistor. Anal Chem 2023; 95:17750-17758. [PMID: 37971943 DOI: 10.1021/acs.analchem.3c03656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
A new type of carbon dot (CD)-functionalized solution-gated graphene transistor (SGGT) sensor was designed and fabricated for the highly sensitive and highly selective detection of glutathione (GSH). The CDs were synthesized via a one-step hydrothermal method using DL-thioctic acid and triethylenetetramine (TETA) as sources of S, N, and C. The CDs have abundant amino and carboxyl groups and were used to modify the surface of the gate electrode of SGGT as probes for detecting GSH. Remarkably, the CDs-SGGT sensor exhibited excellent selectivity and ultrahigh sensitivity to GSH, with an ultralow limit of detection (LOD) of up to 10-19 M. To the best of our knowledge, the sensor outperforms previously reported systems. Moreover, the CDs-SGGT sensor shows rapid detection and good stability. More importantly, the detection of GSH in artificial serum samples was successfully demonstrated.
Collapse
Affiliation(s)
- Zhanpeng Ren
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Jianying Wang
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
- Key Laboratory of Organosilicon Chemistry and Material Technology of Ministry of Education, Hangzhou Normal University, Hangzhou 311121, P. R. China
| | - Chenglong Xue
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Minghua Deng
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Haiyang Yu
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Tianci Lin
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Jiayuan Zheng
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Rongxiang He
- Key Laboratory of Optoelectronic Chemical Materials and Devices of Ministry of Education, Jianghan University, Wuhan 430056, P. R. China
| | - Xianbao Wang
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Jinhua Li
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| |
Collapse
|
29
|
Zhang Y, Chen D, He W, Chen N, Zhou L, Yu L, Yang Y, Yuan Q. Interface-Engineered Field-Effect Transistor Electronic Devices for Biosensing. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023:e2306252. [PMID: 38048547 DOI: 10.1002/adma.202306252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/17/2023] [Indexed: 12/06/2023]
Abstract
Promising advances in molecular medicine have promoted the urgent requirement for reliable and sensitive diagnostic tools. Electronic biosensing devices based on field-effect transistors (FETs) exhibit a wide range of benefits, including rapid and label-free detection, high sensitivity, easy operation, and capability of integration, possessing significant potential for application in disease screening and health monitoring. In this perspective, the tremendous efforts and achievements in the development of high-performance FET biosensors in the past decade are summarized, with emphasis on the interface engineering of FET-based electrical platforms for biomolecule identification. First, an overview of engineering strategies for interface modulation and recognition element design is discussed in detail. For a further step, the applications of FET-based electrical devices for in vitro detection and real-time monitoring in biological systems are comprehensively reviewed. Finally, the key opportunities and challenges of FET-based electronic devices in biosensing are discussed. It is anticipated that a comprehensive understanding of interface engineering strategies in FET biosensors will inspire additional techniques for developing highly sensitive, specific, and stable FET biosensors as well as emerging designs for next-generation biosensing electronics.
Collapse
Affiliation(s)
- Yun Zhang
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Duo Chen
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Wang He
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Na Chen
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Liping Zhou
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Lilei Yu
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Yanbing Yang
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Quan Yuan
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| |
Collapse
|
30
|
Janićijević Ž, Nguyen-Le TA, Alsadig A, Cela I, Žilėnaite R, Tonmoy TH, Kubeil M, Bachmann M, Baraban L. Methods gold standard in clinic millifluidics multiplexed extended gate field-effect transistor biosensor with gold nanoantennae as signal amplifiers. Biosens Bioelectron 2023; 241:115701. [PMID: 37757510 DOI: 10.1016/j.bios.2023.115701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/30/2023] [Accepted: 09/20/2023] [Indexed: 09/29/2023]
Abstract
We present a portable multiplexed biosensor platform based on the extended gate field-effect transistor and demonstrate its amplified response thanks to gold nanoparticle-based bioconjugates introduced as a part of the immunoassay. The platform comprises a disposable chip hosting an array of 32 extended gate electrodes, a readout module based on a single transistor operating in constant charge mode, and a multiplexer to scan sensing electrodes one-by-one. Although employing only off-the-shelf electronic components, our platform achieves sensitivities comparable to fully customized nanofabricated potentiometric sensors. In particular, it reaches a detection limit of 0.2 fM for the pure molecular assay when sensing horseradish peroxidase-linked secondary antibody (∼0.4 nM reached by standard microplate methods). Furthermore, with the gold nanoparticle bioconjugation format, we demonstrate ca. 5-fold amplification of the potentiometric response compared to a pure molecular assay, at the detection limit of 13.3 fM. Finally, we elaborate on the mechanism of this amplification and propose that nanoparticle-mediated disruption of the diffusion barrier layer is the main contributor to the potentiometric signal enhancement. These results show the great potential of our portable, sensitive, and cost-efficient biosensor for multidimensional diagnostics in the clinical and laboratory settings, including e.g., serological tests or pathogen screening.
Collapse
Affiliation(s)
- Željko Janićijević
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Trang-Anh Nguyen-Le
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Ahmed Alsadig
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Isli Cela
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Rugilė Žilėnaite
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany; Faculty of Chemistry and Geosciences, Institute of Chemistry, Vilnius University, Naugarduko g. 24, LT-03225, Vilnius, Lithuania
| | - Taufhik Hossain Tonmoy
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Manja Kubeil
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Michael Bachmann
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Larysa Baraban
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany.
| |
Collapse
|
31
|
Abrha FH, Wondimu TH, Kahsay MH, Fufa Bakare F, Andoshe DM, Kim JY. Graphene-based biosensors for detecting coronavirus: a brief review. NANOSCALE 2023; 15:18184-18197. [PMID: 37927083 DOI: 10.1039/d3nr04583h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
The coronavirus (SARS-CoV-2) disease has affected the globe with 770 437 327 confirmed cases, including about 6 956 900 deaths, according to the World Health Organization (WHO) as of September 2023. Hence, it is imperative to develop diagnostic technologies, such as a rapid cost-effective SARS-CoV-2 detection method. A typical biosensor enables biomolecule detection with an appropriate transducer by generating a measurable signal from the sample. Graphene can be employed as a component for ultrasensitive and selective biosensors based on its physical, optical, and electrochemical properties. Herein, we briefly review graphene-based electrochemical, field-effect transistor (FET), and surface plasmon biosensors for detecting the SARS-CoV-2 target. In addition, details on the surface modification, immobilization, sensitivity and limit of detection (LOD) of all three sensors with regard to SARS-CoV-2 were reported. Finally, the point-of-care (POC) detection of SARS-CoV-2 using a portable smartphone and a wearable watch is a current topic of interest.
Collapse
Affiliation(s)
- Filimon Hadish Abrha
- Department of Chemistry, College of Natural and Computational Sciences, Aksum University, Aksum 1010, Ethiopia
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
| | - Tadele Hunde Wondimu
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
- Center of Advanced Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia
| | - Mebrahtu Hagos Kahsay
- Department of Applied Chemistry, College of Natural and Computational Sciences, Mekelle University, Mekelle 231, Ethiopia
- Department of Applied Chemistry, Adama Science and Technology University, Adama 1888, Ethiopia
| | - Fetene Fufa Bakare
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
- Center of Advanced Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia
| | - Dinsefa Mensur Andoshe
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
| | - Jung Yong Kim
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
- Center of Advanced Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia
| |
Collapse
|
32
|
Li H, Gong H, Wong TH, Zhou J, Wang Y, Lin L, Dou Y, Jia H, Huang X, Gao Z, Shi R, Huang Y, Chen Z, Park W, Li JY, Chu H, Jia S, Wu H, Wu M, Liu Y, Li D, Li J, Xu G, Chang T, Zhang B, Gao Y, Su J, Bai H, Hu J, Yiu CK, Xu C, Hu W, Huang J, Chang L, Yu X. Wireless, battery-free, multifunctional integrated bioelectronics for respiratory pathogens monitoring and severity evaluation. Nat Commun 2023; 14:7539. [PMID: 37985765 PMCID: PMC10661182 DOI: 10.1038/s41467-023-43189-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 11/02/2023] [Indexed: 11/22/2023] Open
Abstract
The rapid diagnosis of respiratory virus infection through breath and blow remains challenging. Here we develop a wireless, battery-free, multifunctional pathogenic infection diagnosis system (PIDS) for diagnosing SARS-CoV-2 infection and symptom severity by blow and breath within 110 s and 350 s, respectively. The accuracies reach to 100% and 92% for evaluating the infection and symptom severity of 42 participants, respectively. PIDS realizes simultaneous gaseous sample collection, biomarker identification, abnormal physical signs recording and machine learning analysis. We transform PIDS into other miniaturized wearable or portable electronic platforms that may widen the diagnostic modes at home, outdoors and public places. Collectively, we demonstrate a general-purpose technology for rapidly diagnosing respiratory pathogenic infection by breath and blow, alleviating the technical bottleneck of saliva and nasopharyngeal secretions. PIDS may serve as a complementary diagnostic tool for other point-of-care techniques and guide the symptomatic treatment of viral infections.
Collapse
Affiliation(s)
- Hu Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 100083, Beijing, China
| | - Huarui Gong
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, 999077, China
| | - Tsz Hung Wong
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Jingkun Zhou
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
- Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, Hong Kong, 999077, China
| | - Yuqiong Wang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 100083, Beijing, China
| | - Long Lin
- College of Engineering, Peking University, 100871, Beijing, China
| | - Ying Dou
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, 999077, China
| | - Huiling Jia
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
- Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, Hong Kong, 999077, China
| | - Xingcan Huang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Zhan Gao
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Rui Shi
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Ya Huang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
- Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, Hong Kong, 999077, China
| | - Zhenlin Chen
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Wooyoung Park
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Ji Yu Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
- Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, Hong Kong, 999077, China
| | - Hongwei Chu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Shengxin Jia
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Han Wu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 100083, Beijing, China
| | - Mengge Wu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Yiming Liu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Dengfeng Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Jian Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Guoqiang Xu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Tianrui Chang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 100083, Beijing, China
| | - Binbin Zhang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
- Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, Hong Kong, 999077, China
| | - Yuyu Gao
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Jingyou Su
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Hao Bai
- Department of Laboratory Medicine, Med+X Center for Manufacturing, West China Precision Medicine Industrial Technology Institute, Department of Liver Surgery, Department of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Jie Hu
- Department of Laboratory Medicine, Med+X Center for Manufacturing, West China Precision Medicine Industrial Technology Institute, Department of Liver Surgery, Department of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Chun Ki Yiu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
- Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, Hong Kong, 999077, China
| | - Chenjie Xu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Wenchuang Hu
- Department of Laboratory Medicine, Med+X Center for Manufacturing, West China Precision Medicine Industrial Technology Institute, Department of Liver Surgery, Department of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
| | - Jiandong Huang
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, 999077, China.
- Clinical Oncology Center, Shenzhen Key Laboratory for cancer metastasis and personalized therapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
- Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen University, Guangzhou, 510120, China.
| | - Lingqian Chang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 100083, Beijing, China.
- School of Biomedical Engineering, Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei, 230032, China.
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
- Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, Hong Kong, 999077, China.
| |
Collapse
|
33
|
Huang Z, Wang W, Wang Y, Wang H, Pang Y, Yuan Q, Tan J, Tan W. Electrochemical Detection of Viral Nucleic Acids by DNA Nanolock-Based Porous Electrode Device. Anal Chem 2023; 95:16668-16676. [PMID: 37910393 DOI: 10.1021/acs.analchem.3c03168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
Developing rapid, sensitive, and facile nucleic acid detection technologies is of paramount importance for preventing and controlling infectious diseases. Benefiting from the advantages such as rapid response, low cost, and simple operation, electrochemical impedance spectroscopy holds great promise for point-of-care nucleic acid detection. However, the sensitivity of electrochemical impedance spectroscopy for low molecular weight nucleic acids testing is still limited. This work presents a DNA nanolock-based porous electrode to improve the sensitivity of electrochemical impedance spectroscopy. Once the target nucleic acids are recognized by the DNA probes, the pore-attached DNA nanolock caused remarkable impedance amplification by blocking the nanopores. Taking SARS-CoV-2 nucleic acid as a model analyte, the detection limit of the porous electrode was as low as 0.03 fM for both SARS-CoV-2 RNA and DNA. The integration of a porous electrode with a wireless communicating unit generates a portable detection device that could be applied to direct SARS-CoV-2 nucleic acid testing in saliva samples. The portable device could effectively distinguish the COVID-19 positive and negative samples, showing a sensitivity of 100% and a specificity of 93%. Owing to its rapid, ultrasensitive, specific, and portable features, the as-designed DNA nanolock and porous electrode-based portable device holds great promise as a point-of-care platform for real-time screening of COVID-19 and other epidemics.
Collapse
Affiliation(s)
- Zhongnan Huang
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Wenjie Wang
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Yingfei Wang
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Han Wang
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Yimin Pang
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Quan Yuan
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Jie Tan
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Weihong Tan
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
- The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China
| |
Collapse
|
34
|
Ren R, Cai S, Fang X, Wang X, Zhang Z, Damiani M, Hudlerova C, Rosa A, Hope J, Cook NJ, Gorelkin P, Erofeev A, Novak P, Badhan A, Crone M, Freemont P, Taylor GP, Tang L, Edwards C, Shevchuk A, Cherepanov P, Luo Z, Tan W, Korchev Y, Ivanov AP, Edel JB. Multiplexed detection of viral antigen and RNA using nanopore sensing and encoded molecular probes. Nat Commun 2023; 14:7362. [PMID: 37963924 PMCID: PMC10646045 DOI: 10.1038/s41467-023-43004-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 10/27/2023] [Indexed: 11/16/2023] Open
Abstract
We report on single-molecule nanopore sensing combined with position-encoded DNA molecular probes, with chemistry tuned to simultaneously identify various antigen proteins and multiple RNA gene fragments of SARS-CoV-2 with high sensitivity and selectivity. We show that this sensing strategy can directly detect spike (S) and nucleocapsid (N) proteins in unprocessed human saliva. Moreover, our approach enables the identification of RNA fragments from patient samples using nasal/throat swabs, enabling the identification of critical mutations such as D614G, G446S, or Y144del among viral variants. In particular, it can detect and discriminate between SARS-CoV-2 lineages of wild-type B.1.1.7 (Alpha), B.1.617.2 (Delta), and B.1.1.539 (Omicron) within a single measurement without the need for nucleic acid sequencing. The sensing strategy of the molecular probes is easily adaptable to other viral targets and diseases and can be expanded depending on the application required.
Collapse
Affiliation(s)
- Ren Ren
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
| | - Shenglin Cai
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK.
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK.
| | - Xiaona Fang
- The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Aptamer Selection Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, 310022, Hangzhou, Zhejiang, China
| | - Xiaoyi Wang
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK
| | - Zheng Zhang
- The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Aptamer Selection Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, 310022, Hangzhou, Zhejiang, China
| | - Micol Damiani
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK
| | - Charlotte Hudlerova
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK
| | - Annachiara Rosa
- The Chromatin Structure and Mobile DNA Laboratory, The Francis Crick Institute, London, UK
- Wolfson Education Centre, Faculty of Medicine, Imperial College London, London, UK
| | - Joshua Hope
- The Chromatin Structure and Mobile DNA Laboratory, The Francis Crick Institute, London, UK
| | - Nicola J Cook
- The Chromatin Structure and Mobile DNA Laboratory, The Francis Crick Institute, London, UK
| | - Peter Gorelkin
- National University of Science and Technology "MISIS", Leninskiy Prospect 4, 119991, Moscow, Russian Federation
| | - Alexander Erofeev
- National University of Science and Technology "MISIS", Leninskiy Prospect 4, 119991, Moscow, Russian Federation
| | - Pavel Novak
- ICAPPIC Limited, The Fisheries, Mentmore Terrace, London, E8 3PN, UK
| | - Anjna Badhan
- Molecular Diagnostic Unit, Section of Virology, Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Michael Crone
- Section of Structural and Synthetic Biology, Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Paul Freemont
- Section of Structural and Synthetic Biology, Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Graham P Taylor
- Molecular Diagnostic Unit, Section of Virology, Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Longhua Tang
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, 310027, Hangzhou, China
| | - Christopher Edwards
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
- ICAPPIC Limited, The Fisheries, Mentmore Terrace, London, E8 3PN, UK
| | - Andrew Shevchuk
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
| | - Peter Cherepanov
- The Chromatin Structure and Mobile DNA Laboratory, The Francis Crick Institute, London, UK
- Molecular Diagnostic Unit, Section of Virology, Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Zhaofeng Luo
- The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Aptamer Selection Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, 310022, Hangzhou, Zhejiang, China
| | - Weihong Tan
- The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Aptamer Selection Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, 310022, Hangzhou, Zhejiang, China.
| | - Yuri Korchev
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
- Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
| | - Aleksandar P Ivanov
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK.
| | - Joshua B Edel
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, 82 Wood Lane, London, W12 0BZ, UK.
| |
Collapse
|
35
|
Ren Q, Jiang L, Ma S, Li T, Zhu Y, Qiu R, Xing Y, Yin F, Li Z, Ye X, Zhang Y, Zhang M. Multi-Body Biomarker Entrapment System: An All-Encompassing Tool for Ultrasensitive Disease Diagnosis and Epidemic Screening. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2304119. [PMID: 37486783 DOI: 10.1002/adma.202304119] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/18/2023] [Indexed: 07/26/2023]
Abstract
Ultrasensitive identification of biomarkers in biofluids is essential for the precise diagnosis of diseases. For the gold standard approaches, polymerase chain reaction and enzyme-linked immunosorbent assay, cumbersome operational steps hinder their point-of-care applications. Here, a bionic biomarker entrapment system (BioES) is implemented, which employs a multi-body Y-shaped tetrahedral DNA probe immobilized on carbon nanotube transistors. Clinical identification of endometriosis is successfully realized by detecting an estrogen receptor, ERβ, from the lesion tissue of endometriosis patients and establishing a standard diagnosis procedure. The multi-body Y-shaped BioES achieves a theoretical limit of detection (LoD) of 6.74 aM and a limit of quantification of 141 aM in a complex protein milieu. Furthermore, the BioES is optimized into a multi-site recognition module for enhanced binding efficiency, realizing the first identification of monkeypox virus antigen A35R and unamplified detection of circulating tumor DNA of breast cancer in serum. The rigid and compact probe framework with synergy effect enables the BioES to target A35R and DNA with a LoD down to 991 and 0.21 aM, respectively. Owing to its versatility for proteins and nucleic acids as well as ease of manipulation and ultra-sensitivity, the BioES can be leveraged as an all-encompassing tool for population-wide screening of epidemics and clinical disease diagnosis.
Collapse
Affiliation(s)
- Qinqi Ren
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Leying Jiang
- State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University, Shenzhen, 518055, China
| | - Shenhui Ma
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Tong Li
- Department of Gynecology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, 518020, China
| | - Yang Zhu
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Rui Qiu
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Yun Xing
- State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University, Shenzhen, 518055, China
| | - Feng Yin
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Zigang Li
- State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University, Shenzhen, 518055, China
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Xiyang Ye
- Department of Gynecology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, 518020, China
| | - Yaping Zhang
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Min Zhang
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| |
Collapse
|
36
|
Du M, Ma J, Zhang Z, Wu G, Wu J, Wang H, Xie X, Wang C. Direct, ultrafast, and sensitive detection of environmental pathogenic microorganisms based on a graphene biosensor. Anal Chim Acta 2023; 1279:341810. [PMID: 37827618 DOI: 10.1016/j.aca.2023.341810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 09/06/2023] [Accepted: 09/08/2023] [Indexed: 10/14/2023]
Abstract
Pathogenic microorganisms in the environment pose a serious threat to global human health. This study developed a reduced graphene oxide (rGO)-field effect transistor (FET) biosensor to realize the rapid and sensitive detection of pathogenic microorganisms. The rGO-FET sensors were prepared by in-situ thermal reduction method, and biorecognition elements were immobilized using a crosslinking agent to realize the surface functionalization of rGO. The rGO-FET biosensors can detect Escherichia coli O157:H7 as low as 1.4 CFU mL-1 within 46 s. The normalized current response was linearly correlated with E. coli concentration in the range of 1.4-1.4 × 107 CFU mL-1. The normalized current response of E. coli O157:H7 was about an order of magnitude higher than those of other microorganisms, indicating that the biosensor has good specificity. The current loss rates of the unmodified rGO-FET sensors and the biosensors modified with anti-E. coli O157:H7 after 30 days of storage at 4 °C were approximately 8% and 15%, respectively. Most importantly, the rGO-FET biosensors can directly detect real samples without pretreatment. Compared with other technologies, the rGO-FET biosensors can detect pathogenic microorganisms with a wider linear range in a shorter time, which is of great importance for the rapid warning and control of pathogenic microorganisms in the environment.
Collapse
Affiliation(s)
- Manman Du
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China; Tianjin Key Lab of Indoor Air Environmental Quality Control, Tianjin, 300072, China; Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 300161, China
| | - Jinbiao Ma
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China; Tianjin Key Lab of Indoor Air Environmental Quality Control, Tianjin, 300072, China
| | - Zhiwei Zhang
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 300161, China
| | - Guangzu Wu
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 300161, China
| | - Jianguo Wu
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 300161, China; School of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin, 300222, China
| | - Hao Wang
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 300161, China; School of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin, 300222, China
| | - Xinwu Xie
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 300161, China; National Bio-Protection Engineering Center, Tianjin, 300161, China.
| | - Can Wang
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China; Tianjin Key Lab of Indoor Air Environmental Quality Control, Tianjin, 300072, China.
| |
Collapse
|
37
|
Wei S, Dou Y, Song S, Li T. Functionalized-Graphene Field Effect Transistor-Based Biosensor for Ultrasensitive and Label-Free Detection of β-Galactosidase Produced by Escherichia coli. BIOSENSORS 2023; 13:925. [PMID: 37887118 PMCID: PMC10605438 DOI: 10.3390/bios13100925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 10/07/2023] [Accepted: 10/09/2023] [Indexed: 10/28/2023]
Abstract
The detection of β-galactosidase (β-gal) activity produced by Escherichia coli (E. coli) can quickly analyze the pollution degree of seawater bodies in bathing and fishing grounds to avoid large-scale outbreaks of water pollution. Here, a functionalized biosensor based on graphene-based field effect transistor (GFET) modified with heat-denatured casein was developed for the ultrasensitive and label-free detection of the β-gal produced by E. coli in real water samples. The heat-denatured casein coated on the graphene surface, as a probe linker and blocker, plays an important role in fabricating GEFT biosensor. The GFET biosensor response to the β-gal produced by E. coli has a wide concentration dynamic range spanning nine orders of magnitude, in a concentration range of 1 fg·mL-1-100 ng·mL-1, with a limit of detection (LOD) 0.187 fg·mL-1 (1.61 aM). In addition to its attomole sensitivity, the GFET biosensor selectively recognized the β-gal in the water sample and showed good selectivity. Importantly, the detection process of the β-gal produced by E. coli can be completed by a straightforward one-step specific immune recognition reaction. These results demonstrated the usefulness of the approach, meeting environmental monitoring requirements for future use.
Collapse
Affiliation(s)
- Shanhong Wei
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China; (S.W.); (Y.D.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanzhi Dou
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China; (S.W.); (Y.D.)
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Shiping Song
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
- Institute of Materiobiology, College of Science, Shanghai University, Shanghai 200444, China
| | - Tie Li
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China; (S.W.); (Y.D.)
| |
Collapse
|
38
|
Yoo H, Lee HR, Kang SB, Lee J, Park K, Yoo H, Kim J, Chung TD, Lee KM, Lim HH, Son CY, Sun JY, Oh SS. G-Quadruplex-Filtered Selective Ion-to-Ion Current Amplification for Non-Invasive Ion Monitoring in Real Time. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2303655. [PMID: 37433455 DOI: 10.1002/adma.202303655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/08/2023] [Accepted: 07/10/2023] [Indexed: 07/13/2023]
Abstract
Living cells efflux intracellular ions for maintaining cellular life, so intravital measurements of specific ion signals are of significant importance for studying cellular functions and pharmacokinetics. In this work, de novo synthesis of artificial K+ -selective membrane and its integration with polyelectrolyte hydrogel-based open-junction ionic diode (OJID) is demonstrated, achieving a real-time K+ -selective ion-to-ion current amplification in complex bioenvironments. By mimicking biological K+ channels and nerve impulse transmitters, in-line K+ -binding G-quartets are introduced across freestanding lipid bilayers by G-specific hexylation of monolithic G-quadruplex, and the pre-filtered K+ flow is directly converted to amplified ionic currents by the OJID with a fast response time at 100 ms intervals. By the synergistic combination of charge repulsion, sieving, and ion recognition, the synthetic membrane allows K+ transport exclusively without water leakage; it is 250× and 17× more permeable toward K+ than monovalent anion, Cl- , and polyatomic cation, N-methyl-d-glucamine+ , respectively. The molecular recognition-mediated ion channeling provides a 500% larger signal for K+ as compared to Li+ (0.6× smaller than K+ ) despite the same valence. Using the miniaturized device, non-invasive, direct, and real-time K+ efflux monitoring from living cell spheroids is achieved with minimal crosstalk, specifically in identifying osmotic shock-induced necrosis and drug-antidote dynamics.
Collapse
Affiliation(s)
- Hyebin Yoo
- Department of Materials Science & Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 37673, South Korea
| | - Hyun-Ro Lee
- Department of Materials Science & Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 37673, South Korea
| | - Soon-Bo Kang
- Department of Materials Science & Engineering, Seoul National University, Seoul, 08826, South Korea
| | - Juhwa Lee
- Department of Chemistry, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 37673, South Korea
| | - Kunwoong Park
- Neurovascular Unit Research Group, Korea Brain Research Institute (KBRI), Daegu, 41062, South Korea
| | - Hyunjae Yoo
- Department of Materials Science & Engineering, Seoul National University, Seoul, 08826, South Korea
| | - Jinmin Kim
- Department of Materials Science & Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 37673, South Korea
| | - Taek Dong Chung
- Department of Chemistry, Seoul National University, Seoul, 08826, South Korea
| | - Kyung-Mi Lee
- Department of Biochemistry and Molecular Biology, Korea University College of Medicine, Seoul, 02841, South Korea
| | - Hyun-Ho Lim
- Neurovascular Unit Research Group, Korea Brain Research Institute (KBRI), Daegu, 41062, South Korea
| | - Chang Yun Son
- Department of Chemistry, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 37673, South Korea
- Institute for Convergence Research and Education in Advanced Technology (I-CREATE), Yonsei University, Incheon, 21983, South Korea
| | - Jeong-Yun Sun
- Department of Materials Science & Engineering, Seoul National University, Seoul, 08826, South Korea
- Research Institute of Advanced Materials (RIAM), Seoul National University, Seoul, 08826, South Korea
| | - Seung Soo Oh
- Department of Materials Science & Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 37673, South Korea
- Institute for Convergence Research and Education in Advanced Technology (I-CREATE), Yonsei University, Incheon, 21983, South Korea
| |
Collapse
|
39
|
Chen S, Bashir R. Advances in field-effect biosensors towards point-of-use. NANOTECHNOLOGY 2023; 34:492002. [PMID: 37625391 PMCID: PMC10523595 DOI: 10.1088/1361-6528/acf3f0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 08/11/2023] [Accepted: 08/25/2023] [Indexed: 08/27/2023]
Abstract
The future of medical diagnostics calls for portable biosensors at the point of care, aiming to improve healthcare by reducing costs, improving access, and increasing quality-what is called the 'triple aim'. Developing point-of-care sensors that provide high sensitivity, detect multiple analytes, and provide real time measurements can expand access to medical diagnostics for all. Field-effect transistor (FET)-based biosensors have several advantages, including ultrahigh sensitivity, label-free and amplification-free detection, reduced cost and complexity, portability, and large-scale multiplexing. They can also be integrated into wearable or implantable devices and provide continuous, real-time monitoring of analytesin vivo, enabling early detection of biomarkers for disease diagnosis and management. This review analyzes advances in the sensitivity, parallelization, and reusability of FET biosensors, benchmarks the limit of detection of the state of the art, and discusses the challenges and opportunities of FET biosensors for future healthcare applications.
Collapse
Affiliation(s)
- Sihan Chen
- Holonyak Micro and Nanotechnology Laboratory, The Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States of America
| | - Rashid Bashir
- Holonyak Micro and Nanotechnology Laboratory, The Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States of America
- Department of Bioengineering, The Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States of America
- Department of Biomedical and Translational Sciences, Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States of America
| |
Collapse
|
40
|
Wang X, Xia B, Hao Z, Kang H, Liu W, Chen Y, Jiang Q, Liu J, Gou J, Dong B, Wee ATS, Liu Y, Wei D. A closed-loop catalytic nanoreactor system on a transistor. SCIENCE ADVANCES 2023; 9:eadj0839. [PMID: 37729411 PMCID: PMC10511191 DOI: 10.1126/sciadv.adj0839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/17/2023] [Indexed: 09/22/2023]
Abstract
Precision chemistry demands miniaturized catalytic systems for sophisticated reactions with well-defined pathways. An ideal solution is to construct a nanoreactor system functioning as a chemistry laboratory to execute a full chemical process with molecular precision. However, existing nanoscale catalytic systems fail to in situ control reaction kinetics in a closed-loop manner, lacking the precision toward ultimate reaction efficiency. We find an inter-electrochemical gating effect when operating DNA framework-constructed enzyme cascade nanoreactors on a transistor, enabling in situ closed-loop reaction monitoring and modulation electrically. Therefore, a comprehensive system is developed, encapsulating nanoreactors, analyzers, and modulators, where the gate potential modulates enzyme activity and switches cascade reaction "ON" or "OFF." Such electric field-effect property enhances catalytic efficiency of enzyme by 343.4-fold and enables sensitive sarcosine assay for prostate cancer diagnoses, with a limit of detection five orders of magnitude lower than methodologies in clinical laboratory. By coupling with solid-state electronics, this work provides a perspective to construct intelligent nano-systems for precision chemistry.
Collapse
Affiliation(s)
- Xuejun Wang
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Binbin Xia
- Institute of Molecular Medicine, Department of Urology, Department of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Zhuang Hao
- School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
- School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China
| | - Hua Kang
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Wentao Liu
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Yiheng Chen
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Qunfeng Jiang
- Department of Physics, Fudan University, Shanghai 200433, China
| | - Jingyuan Liu
- Global Clinical Operation, Johnson & Johnson, Shanghai 200233, China
| | - Jian Gou
- Department of Physics, National University of Singapore, Singapore 117542, Singapore
| | - Baijun Dong
- Institute of Molecular Medicine, Department of Urology, Department of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Andrew Thye Shen Wee
- Department of Physics, National University of Singapore, Singapore 117542, Singapore
| | - Yunqi Liu
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Dacheng Wei
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| |
Collapse
|
41
|
Yu M, He T, Wang Q, Cui C. Unraveling the Possibilities: Recent Progress in DNA Biosensing. BIOSENSORS 2023; 13:889. [PMID: 37754122 PMCID: PMC10526863 DOI: 10.3390/bios13090889] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 08/29/2023] [Accepted: 09/09/2023] [Indexed: 09/28/2023]
Abstract
Due to the advantages of its numerous modification sites, predictable structure, high thermal stability, and excellent biocompatibility, DNA is the ideal choice as a key component of biosensors. DNA biosensors offer significant advantages over existing bioanalytical techniques, addressing limitations in sensitivity, selectivity, and limit of detection. Consequently, they have attracted significant attention from researchers worldwide. Here, we exemplify four foundational categories of functional nucleic acids: aptamers, DNAzymes, i-motifs, and G-quadruplexes, from the perspective of the structure-driven functionality in constructing DNA biosensors. Furthermore, we provide a concise overview of the design and detection mechanisms employed in these DNA biosensors. Noteworthy advantages of DNA as a sensor component, including its programmable structure, reaction predictility, exceptional specificity, excellent sensitivity, and thermal stability, are highlighted. These characteristics contribute to the efficacy and reliability of DNA biosensors. Despite their great potential, challenges remain for the successful application of DNA biosensors, spanning storage and detection conditions, as well as associated costs. To overcome these limitations, we propose potential strategies that can be implemented to solve these issues. By offering these insights, we aim to inspire subsequent researchers in related fields.
Collapse
Affiliation(s)
| | | | | | - Cheng Cui
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China; (M.Y.)
| |
Collapse
|
42
|
Yang Y, Kong D, Wu Y, Chen Y, Dai C, Chen C, Zhao J, Luo S, Liu W, Liu Y, Wei D. Catalytic Hairpin Assembly-Enhanced Graphene Transistor for Ultrasensitive miRNA Detection. Anal Chem 2023; 95:13281-13288. [PMID: 37610301 DOI: 10.1021/acs.analchem.3c02433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
MicroRNAs (miRNAs) have emerged as powerful biomarkers for disease diagnosis and screening. Traditional miRNA analytical techniques are inadequate for point-of-care testing due to their reliance on specialized expertise and instruments. Graphene field-effect transistors (GFETs) offer the prospect of simple and label-free diagnostics. Herein, a GFET biosensor based on tetrahedral DNA nanostructure (TDN)-assisted catalytic hairpin assembly (CHA) reaction (TCHA) has been fabricated and applied to the sensitive and specific detection of miRNA-21. TDN structures are assembled to construct the biosensing interface, facilitating CHA reaction by providing free space and preventing unwanted entanglements, aggregation, and adsorption of probes on the graphene channel. Owing to synergistic effects of TDN-assisted in situ nucleic acid amplification on the sensing surface, as well as inherent signal sensitization of GFETs, the biosensor exhibits ultrasensitive detection of miRNA-21 down to 5.67 × 10-19 M, approximately three orders of magnitude lower than that normally achieved by graphene transistors with channel functionalization of single-stranded DNA probes. In addition, the biosensor demonstrates excellent analytical performance regarding selectivity, stability, and reproducibility. Furthermore, the practicability of the biosensor is verified by analyzing targets in a complex serum environment and cell lysates, showing tremendous potential in bioanalysis and clinical diagnosis.
Collapse
Affiliation(s)
- Yuetong Yang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Derong Kong
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Yungen Wu
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Yiheng Chen
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Changhao Dai
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Chang Chen
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Junhong Zhao
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Shi Luo
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Wentao Liu
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Yunqi Liu
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Dacheng Wei
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| |
Collapse
|
43
|
Sensi M, de Oliveira RF, Berto M, Palmieri M, Ruini E, Livio PA, Conti A, Pinti M, Salvarani C, Cossarizza A, Cabot JM, Ricart J, Casalini S, González-García MB, Fanjul-Bolado P, Bortolotti CA, Samorì P, Biscarini F. Reduced Graphene Oxide Electrolyte-Gated Transistor Immunosensor with Highly Selective Multiparametric Detection of Anti-Drug Antibodies. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2211352. [PMID: 37435994 DOI: 10.1002/adma.202211352] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 06/29/2023] [Accepted: 07/10/2023] [Indexed: 07/13/2023]
Abstract
The advent of immunotherapies with biological drugs has revolutionized the treatment of cancers and auto-immune diseases. However, in some patients, the production of anti-drug antibodies (ADAs) hampers the drug efficacy. The concentration of ADAs is typically in the range of 1-10 pm; hence their immunodetection is challenging. ADAs toward Infliximab (IFX), a drug used to treat rheumatoid arthritis and other auto-immune diseases, are focussed. An ambipolar electrolyte-gated transistor (EGT) immunosensor is reported based on a reduced graphene oxide (rGO) channel and IFX bound to the gate electrode as the specific probe. The rGO-EGTs are easy to fabricate and exhibit low voltage operations (≤ 0.3 V), a robust response within 15 min, and ultra-high sensitivity (10 am limit of detection). A multiparametric analysis of the whole rGO-EGT transfer curves based on the type-I generalized extreme value distribution is proposed. It is demonstrated that it allows to selectively quantify ADAs also in the co-presence of its antagonist tumor necrosis factor alpha (TNF-α), the natural circulating target of IFX.
Collapse
Affiliation(s)
- Matteo Sensi
- Department of Life Sciences, University of Modena and Reggio Emilia, via Campi 103, Modena, 41125, Italy
| | - Rafael Furlan de Oliveira
- Université de Strasbourg, CNRS, ISIS, 8 allée Gaspard Monge, Strasbourg, 67000, France
- Brazilian Nanotechnology National Laboratory (LNNano), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, 13083-970, Brazil
| | - Marcello Berto
- Department of Life Sciences, University of Modena and Reggio Emilia, via Campi 103, Modena, 41125, Italy
| | - Marina Palmieri
- Department of Life Sciences, University of Modena and Reggio Emilia, via Campi 103, Modena, 41125, Italy
| | - Emilio Ruini
- Department of Life Sciences, University of Modena and Reggio Emilia, via Campi 103, Modena, 41125, Italy
| | - Pietro Antonio Livio
- Université de Strasbourg, CNRS, ISIS, 8 allée Gaspard Monge, Strasbourg, 67000, France
| | - Andrea Conti
- Dermatology Unit, Surgical, Medical, and Dental Department of Morphological Sciences Related to Transplant, Oncology and Regenerative Medicine, University of Modena and Reggio Emilia, via del Pozzo 71, Modena, 41125, Italy
| | - Marcello Pinti
- Department of Life Sciences, University of Modena and Reggio Emilia, via Campi 103, Modena, 41125, Italy
| | - Carlo Salvarani
- Rheumatology Unit, University of Modena and Reggio Emilia, Medical School Azienda Ospedaliero-Universitaria Policlinico di Modena, via del Pozzo 71, Modena, 41125, Italy
| | - Andrea Cossarizza
- Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, Via Campi 287, Modena, 41125, Italy
| | - Joan M Cabot
- Leitat Technology Center, Innovació 2, Barcelona, 08225, Spain
| | - Jordi Ricart
- Leitat Technology Center, Innovació 2, Barcelona, 08225, Spain
| | - Stefano Casalini
- Université de Strasbourg, CNRS, ISIS, 8 allée Gaspard Monge, Strasbourg, 67000, France
- Dipartimento di Scienze Chimiche University of Padova, via Marzolo 1, Padova, 35131, Italy
| | | | - Pablo Fanjul-Bolado
- Metrohm DropSens, S.L. Vivero Ciencias de la Salud, C/Colegio Santo Domingo de Guzmán s/n, Oviedo, 33010, Spain
| | - Carlo Augusto Bortolotti
- Department of Life Sciences, University of Modena and Reggio Emilia, via Campi 103, Modena, 41125, Italy
| | - Paolo Samorì
- Université de Strasbourg, CNRS, ISIS, 8 allée Gaspard Monge, Strasbourg, 67000, France
| | - Fabio Biscarini
- Department of Life Sciences, University of Modena and Reggio Emilia, via Campi 103, Modena, 41125, Italy
- Center for Translational Neurophysiology, Istituto Italiano di Tecnologia, Via Fossato di Mortara 17-19, Ferrara, 44121, Italy
| |
Collapse
|
44
|
Su Y, Bian S, Pan D, Xu Y, Rong G, Zhang H, Sawan M. Heterogeneous-Nucleation Biosensor for Long-Term Collection and Mask-Based Self-Detection of SARS-CoV-2. BIOSENSORS 2023; 13:858. [PMID: 37754092 PMCID: PMC10526364 DOI: 10.3390/bios13090858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 08/22/2023] [Accepted: 08/25/2023] [Indexed: 09/28/2023]
Abstract
The effective control of infectious diseases, including Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, depends on the availability of rapid and accurate monitoring techniques. However, conventional SARS-CoV-2 detection technologies do not support continuous self-detection and may lead to cross-infection when utilized in medical institutions. In this study, we introduce a prototype of a mask biosensor designed for the long-term collection and self-detection of SARS-CoV-2. The biosensor utilizes the average resonance Rayleigh scattering intensity of Au nanocluster-aptamers. The inter-mask surface serves as a medium for the long-term collection and concentration enhancement of SARS-CoV-2, while the heterogeneous-nucleation nanoclusters (NCs) contribute to the exceptional stability of Au NCs for up to 48 h, facilitated by the adhesion of Ti NCs. Additionally, the biosensors based on Au NC-aptamers exhibited high sensitivity for up to 1 h. Moreover, through the implementation of a support vector machine classifier, a significant number of point signals can be collected and differentiated, leading to improved biosensor accuracy. These biosensors offer a complementary wearable device-based method for diagnosing SARS-CoV-2, with a limit of detection of 103 copies. Given their flexibility, the proposed biosensors possess tremendous potential for the continuous collection and sensitive self-detection of SARS-CoV-2 variants and other infectious pathogens.
Collapse
Affiliation(s)
- Yi Su
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310013, China; (Y.S.); (D.P.)
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Sumin Bian
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Dingyi Pan
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310013, China; (Y.S.); (D.P.)
| | - Yankun Xu
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Guoguang Rong
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Hongyong Zhang
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Mohamad Sawan
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| |
Collapse
|
45
|
Huang Y, Ni J, Shi X, Wang Y, Yao S, Liu Y, Fan T. Two-Step Thermal Transformation of Multilayer Graphene Using Polymeric Carbon Source Assisted by Physical Vapor Deposited Copper. MATERIALS (BASEL, SWITZERLAND) 2023; 16:5603. [PMID: 37629894 PMCID: PMC10456611 DOI: 10.3390/ma16165603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/09/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023]
Abstract
Direct in situ growth of graphene on dielectric substrates is a reliable method for overcoming the challenges of complex physical transfer operations, graphene performance degradation, and compatibility with graphene-based semiconductor devices. A transfer-free graphene synthesis based on a controllable and low-cost polymeric carbon source is a promising approach for achieving this process. In this paper, we report a two-step thermal transformation method for the copper-assisted synthesis of transfer-free multilayer graphene. Firstly, we obtained high-quality polymethyl methacrylate (PMMA) film on a 300 nm SiO2/Si substrate using a well-established spin-coating process. The complete thermal decomposition loss of PMMA film was effectively avoided by introducing a copper clad layer. After the first thermal transformation process, flat, clean, and high-quality amorphous carbon films were obtained. Next, the in situ obtained amorphous carbon layer underwent a second copper sputtering and thermal transformation process, which resulted in the formation of a final, large-sized, and highly uniform transfer-free multilayer graphene film on the surface of the dielectric substrate. Multi-scale characterization results show that the specimens underwent different microstructural evolution processes based on different mechanisms during the two thermal transformations. The two-step thermal transformation method is compatible with the current semiconductor process and introduces a low-cost and structurally controllable polymeric carbon source into the production of transfer-free graphene. The catalytic protection of the copper layer provides a new direction for accelerating the application of graphene in the field of direct integration of semiconductor devices.
Collapse
Affiliation(s)
| | | | | | | | | | - Yue Liu
- State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; (Y.H.)
| | - Tongxiang Fan
- State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; (Y.H.)
| |
Collapse
|
46
|
Liang Y, Xiao M, Xie J, Li J, Zhang Y, Liu H, Zhang Y, He J, Zhang G, Wei N, Peng LM, Ke Y, Zhang ZY. Amplification-Free Detection of SARS-CoV-2 Down to Single Virus Level by Portable Carbon Nanotube Biosensors. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2208198. [PMID: 37046180 DOI: 10.1002/smll.202208198] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/18/2023] [Indexed: 06/19/2023]
Abstract
The rapid and sensitive detection of trace-level viruses in a simple and reliable way is of great importance for epidemic prevention and control. Here, a multi-functionalized floating gate carbon nanotube field effect transistor (FG-CNT FET) based biosensor is reported for the single virus level detection of SARS-CoV-2 virus antigen and RNA rapidly with a portable sensing platform. The aptamers functionalized sensors can detect SARS-CoV-2 antigens from unprocessed nasopharyngeal swab samples within 1 min. Meanwhile, enhanced by a multi-probe strategy, the FG-CNT FET-based biosensor can detect the long chain RNA directly without amplification down to single virus level within 1 min. The device, constructed with packaged sensor chips and a portable sensing terminal, can distinguish 10 COVID-19 patients from 10 healthy individuals in clinical tests both by the RNAs and antigens by a combination detection strategy with an combined overall percent agreement (OPA) close to 100%. The results provide a general and simple method to enhance the sensitivity of FET-based biochemical sensors for the detection of nucleic acid molecules and demonstrate that the CNT FG FET biosensor is a versatile and reliable integrated platform for ultrasensitive multibiomarker detection without amplification and has great potential for point-of-care (POC) clinical tests.
Collapse
Affiliation(s)
- Yuqi Liang
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
| | - Mengmeng Xiao
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan, 411105, China
| | - Jing Xie
- Chinese PLA Center for Disease Control and Prevention, Beijing, 100071, China
| | - Jiahao Li
- School of Laboratory Medicine, Hubei University of Chinese Medicine, Huangjia Lake West Road, Wuhan, 430065, China
| | - Yuyan Zhang
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
| | - Haiyang Liu
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
| | - Yang Zhang
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan, 411105, China
| | - Jianping He
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan, 411105, China
| | - Guojun Zhang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, Huangjia Lake West Road, Wuhan, 430065, China
| | - Nan Wei
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
| | - Lian-Mao Peng
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan, 411105, China
| | - Yuehua Ke
- Chinese PLA Center for Disease Control and Prevention, Beijing, 100071, China
| | - Zhi-Yong Zhang
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, China
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan, 411105, China
| |
Collapse
|
47
|
Yang W, Yan J, Liu R, Xie Y, Wang C, Kou Z, Li P, Jiang M. Ultra-sensitive specific detection of nucleic acids in pathogenic infections by Ta 2C-MXene sensitization-based ultrafine plasmon spectroscopy combs. SENSORS AND ACTUATORS. B, CHEMICAL 2023; 387:133785. [PMID: 37038556 PMCID: PMC10077810 DOI: 10.1016/j.snb.2023.133785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 03/30/2023] [Accepted: 04/05/2023] [Indexed: 05/21/2023]
Abstract
Accurate and rapid population-scale screening techniques based on SARS-CoV-2 RNA are essential in preventing and controlling the COVID-19 epidemic. However, the sensitivity and specificity of the assay signal are challenged by the problems of target dilution and sample contamination inherent in high-volume pooled testing. Here, we reported a collaborative system of high-loaded hybrid probes targeting N and OFR1a coupling with the novel Ta2C-M/Au/TFBG biosensor, providing high-intensity vector signals for detecting SARS-CoV-2. The method relies on a segmental modification approach to saturable modify multiple activation sites of SARS-CoV-2 on the high-performance Ta2C-M surface. The coupling of multi-site synergy with composite excited TFBG results in excellent signal transduction, detection limits (0.2 pg/mL), and hybridization efficiency. Without relying on amplification, the collaborative system achieved specific differentiation of 30 clinical samples in an average diagnostic time of 1.8 min. In addition, for the first time, a kinetic determination of dilution mixed samples was achieved and showed a high-intensity carrier signal and fantastic stability. Therefore, it can be used as a collaborative, integrated tool to play a massive role in the screening, prevention, and control of COVID-19 and other epidemics.
Collapse
Affiliation(s)
- Wen Yang
- School of Control Science and Engineering, Shandong University, Jingshi Road, 250061 Jinan, China
| | - Jie Yan
- School of Control Science and Engineering, Shandong University, Jingshi Road, 250061 Jinan, China
| | - Runcheng Liu
- School of Control Science and Engineering, Shandong University, Jingshi Road, 250061 Jinan, China
| | - Yan Xie
- The Second Hospital of Shandong University, No. 247 Beiyuan Street, Jinan 250033, Shandong, China
| | - Chuanxin Wang
- The Second Hospital of Shandong University, No. 247 Beiyuan Street, Jinan 250033, Shandong, China
| | - Zengqiang Kou
- The Center for Disease Control and Prevention of Shandong, No. 16992, Jingshi Road, Lixia District, Jinan 250014, Shandong, China
| | - Peilong Li
- The Second Hospital of Shandong University, No. 247 Beiyuan Street, Jinan 250033, Shandong, China
| | - Mingshun Jiang
- School of Control Science and Engineering, Shandong University, Jingshi Road, 250061 Jinan, China
| |
Collapse
|
48
|
Ding R, Liu L, Zhang J, Lv P, Zhou L, Zhang T, Li S, Zhao R, Yang Z, Xiong P, Chen H, Wang W, Wang H, Tian Z, Liu B, Chen C. Accurate quantification of DNA using on-site PCR (osPCR) by characterizing DNA amplification at single-molecule resolution. Nucleic Acids Res 2023; 51:e65. [PMID: 37194709 PMCID: PMC10287937 DOI: 10.1093/nar/gkad388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/04/2023] [Accepted: 05/01/2023] [Indexed: 05/18/2023] Open
Abstract
Despite the need in various applications, accurate quantification of nucleic acids still remains a challenge. The widely-used qPCR has reduced accuracy at ultralow template concentration and is susceptible to nonspecific amplifications. The more recently developed dPCR is costly and cannot handle high-concentration samples. We combine the strengths of qPCR and dPCR by performing PCR in silicon-based microfluidic chips and demonstrate high quantification accuracy in a large concentration range. Importantly, at low template concentration, we observe on-site PCR (osPCR), where only certain sites of the channel show amplification. The sites have almost identical ct values, showing osPCR is a quasi-single molecule phenomenon. Using osPCR, we can measure both the ct values and the absolute concentration of templates in the same reaction. Additionally, osPCR enables identification of each template molecule, allowing removal of nonspecific amplification during quantification and greatly improving quantification accuracy. We develop sectioning algorithm that improves the signal amplitude and demonstrate improved detection of COVID in patient samples.
Collapse
Affiliation(s)
- Ruihua Ding
- Shanghai Industrial μTechnology Research Institute (SITRI), Shanghai201800, China
| | - Liying Liu
- Shanghai Si-Gene Biotech Co., Ltd, Shanghai201800, China
| | - Jiali Zhang
- School of Microelectronics, Shanghai University, Shanghai201800, China
| | - Pengxiao Lv
- Shanghai Industrial μTechnology Research Institute (SITRI), Shanghai201800, China
| | - Lin Zhou
- Shanghai Industrial μTechnology Research Institute (SITRI), Shanghai201800, China
| | - Tinglu Zhang
- Shanghai Industrial μTechnology Research Institute (SITRI), Shanghai201800, China
| | - Shenwei Li
- Shanghai International Travel Healthcare Center, Shanghai200335, China
| | - Ran Zhao
- Shanghai Center for Clinical Laboratory, Shanghai200126, China
| | - Zhuo Yang
- School of Microelectronics, Shanghai University, Shanghai201800, China
| | - Peng Xiong
- Shanghai Si-Gene Biotech Co., Ltd, Shanghai201800, China
| | - Hu Chen
- Shanghai Si-Gene Biotech Co., Ltd, Shanghai201800, China
| | - Wei Wang
- Shanghai International Travel Healthcare Center, Shanghai200335, China
| | - Hualiang Wang
- Shanghai Center for Clinical Laboratory, Shanghai200126, China
| | - Zhengan Tian
- Shanghai International Travel Healthcare Center, Shanghai200335, China
| | - Bo Liu
- Shanghai Industrial μTechnology Research Institute (SITRI), Shanghai201800, China
- Shanghai Si-Gene Biotech Co., Ltd, Shanghai201800, China
- School of Microelectronics, Shanghai University, Shanghai201800, China
| | - Chang Chen
- Shanghai Industrial μTechnology Research Institute (SITRI), Shanghai201800, China
- Shanghai Si-Gene Biotech Co., Ltd, Shanghai201800, China
- School of Microelectronics, Shanghai University, Shanghai201800, China
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai200050, China
| |
Collapse
|
49
|
Pishbin E, Sadri F, Dehghan A, Kiani MJ, Hashemi N, Zare I, Mousavi P, Rahi A. Recent advances in isolation and detection of exosomal microRNAs related to Alzheimer's disease. ENVIRONMENTAL RESEARCH 2023; 227:115705. [PMID: 36958383 DOI: 10.1016/j.envres.2023.115705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 03/11/2023] [Accepted: 03/15/2023] [Indexed: 05/08/2023]
Abstract
Alzheimer's disease, a progressive neurological condition, is associated with various internal and external risk factors in the disease's early stages. Early diagnosis of Alzheimer's disease is essential for treatment management. Circulating exosomal microRNAs could be a new class of valuable biomarkers for early Alzheimer's disease diagnosis. Different kinds of biosensors have been introduced in recent years for the detection of these valuable biomarkers. Isolation of the exosomes is a crucial step in the detection process which is traditionally carried out by multi-step ultrafiltration. Microfluidics has improved the efficiency and costs of exosome isolation by implementing various effects and forces on the nano and microparticles in the microchannels. This paper reviews recent advancements in detecting Alzheimer's disease related exosomal microRNAs based on methods such as electrochemical, fluorescent, and SPR. The presented devices' pros and cons and their efficiencies compared with the gold standard methods are reported. Moreover, the application of microfluidic devices to detect Alzheimer's disease related biomarkers is summarized and presented. Finally, some challenges with the performance of novel technologies for isolating and detecting exosomal microRNAs are addressed.
Collapse
Affiliation(s)
- Esmail Pishbin
- Bio-microfluidics Laboratory, Department of Electrical Engineering and Information Technology, Iranian Research Organization for Science and Technology, Tehran, Iran
| | - Fatemeh Sadri
- Department of Medical Genetics, Faculty of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Amin Dehghan
- School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
| | - Mohammad Javad Kiani
- School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
| | - Nader Hashemi
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Iman Zare
- Research and Development Department, Sina Medical Biochemistry Technologies Co. Ltd., Shiraz 7178795844, Iran
| | - Pegah Mousavi
- Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
| | - Amid Rahi
- Cell Therapy and Regenerative Medicine Comprehensive Center, Kerman University of Medical Sciences, Kerman, Iran.
| |
Collapse
|
50
|
Tang YN, Jiang D, Wang X, Liu Y, Wei D. Recent progress on rapid diagnosis of COVID-19 by point-of-care testing platforms. CHINESE CHEM LETT 2023:108688. [PMID: 37362324 PMCID: PMC10266891 DOI: 10.1016/j.cclet.2023.108688] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 05/25/2023] [Accepted: 06/12/2023] [Indexed: 06/28/2023]
Abstract
The outbreak of COVID-19 has drawn great attention around the world. SARS-CoV-2 is a highly infectious virus with occult transmission by many mutations and a long incubation period. In particular, the emergence of asymptomatic infections has made the epidemic even more severe. Therefore, early diagnosis and timely management of suspected cases are essential measures to control the spread of the virus. Developing simple, portable, and accurate diagnostic techniques for SARS-CoV-2 is the key to epidemic prevention. The advantages of point-of-care testing technology make it play an increasingly important role in viral detection and screening. This review summarizes the point-of-care testing platforms developed by nucleic acid detection, immunological detection, and nanomaterial-based biosensors detection. Furthermore, this paper provides a prospect for designing future highly accurate, cheap, and convenient SARS-CoV-2 diagnostic technology.
Collapse
Affiliation(s)
- Ya-Nan Tang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Institute of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Dingding Jiang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Institute of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Xuejun Wang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Institute of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Yunqi Liu
- Institute of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Dacheng Wei
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Institute of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| |
Collapse
|