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Sun M, Wang S, Zhang Y, Zhang Z, Wang S, Wang Z, Chen X, Liu H, Zhang Y, Han L. An ultrasensitive flexible biosensor enabled by high-performance graphene field-effect transistors with defect-free van der Waals contacts for breast cancer miRNA fast detection. Talanta 2025; 287:127637. [PMID: 39889678 DOI: 10.1016/j.talanta.2025.127637] [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: 12/08/2024] [Revised: 01/10/2025] [Accepted: 01/23/2025] [Indexed: 02/03/2025]
Abstract
MicroRNAs (miRNAs) present in bodily fluids such as blood, saliva, and urine hold significant potential for both diagnosing and prognosing breast cancer. However, the development of flexible wearable field-effect transistor (FET) breast cancer miRNA biosensors still faces many challenges. Herein, we developed an ultrasensitive flexible biosensor based on a high-performance FET with defect-free van der Waals contacts for breast cancer miRNA fast detection. The flexible biosensor achieves a limit of detection (LOD) as low as 1.92 fM, a wide linear detection range of 10 fM-100 pM, and a short detection time of 10 min for fast detection of miRNA-155, which is approximately a 5-fold lower LOD compared to conventional graphene FET biosensors. Additionally, the sensor maintains stable sensing performance even after 100 bending/relaxation cycles. The defect-free graphene channel and excellent electrical properties of the flexible FET contribute to the high performance of the biosensor. The biosensor effectively differentiates miRNA levels in serum between breast cancer patients and healthy individuals, proving the possibility of practical application. It also successfully detects miRNA in sweat by attaching the biosensor to the human body, demonstrating its promise for non-invasive health monitoring as a wearable device. This easy-to-fabricate, high-performance flexible biosensor advances cancer biomarker analysis and wearable health monitoring technology.
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Affiliation(s)
- Mingyuan Sun
- Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, 266237, China
| | - Shuai Wang
- Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, 266237, China
| | - Yunhong Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, 266237, China
| | - Zheng Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, 266237, China
| | - Shun Wang
- Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, 266237, China
| | - Zhenhua Wang
- Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, 266237, China
| | - Xiaoshuang Chen
- Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, 266237, China
| | - Hong Liu
- State Key Laboratory of Crystal Materials, Shandong University, Jinan, Shandong, 250100, China
| | - Yu Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, 266237, China; School of Integrated Circuits, Shandong University, Ji'nan, Shandong, 250100, China.
| | - Lin Han
- Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, 266237, China; School of Integrated Circuits, Shandong University, Ji'nan, Shandong, 250100, China; Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, Jinan, 250100, China.
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2
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Shi X, Pu H, Shi LL, He TC, Chen J. Advancing transistor-based point-of-care (POC) biosensors: additive manufacturing technologies and device integration strategies for real-life sensing. NANOSCALE 2025; 17:9804-9833. [PMID: 40171618 DOI: 10.1039/d4nr04441j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2025]
Abstract
Infectious pathogens pose a significant threat to public health and healthcare systems, making the development of a point-of-care (POC) detection platform for their early identification a key focus in recent decades. Among the numerous biosensors developed over the years, transistor-based biosensors, particularly those incorporating nanomaterials, have emerged as promising candidates for POC detection, given their unique electronic characteristics, compact size, broad dynamic range, and real-time biological detection capabilities with limits of detection (LODs) down to zeptomolar levels. However, the translation of laboratory-based biosensors into practical applications faces two primary challenges: the cost-effective and scalable fabrication of high-quality transistor sensors and functional device integration. This review is structured into two main parts. The first part examines recent advancements in additive manufacturing technologies-namely in screen printing, inkjet printing, aerosol jet printing, and digital light processing-and evaluates their applications in the mass production of transistor-based biosensors. While additive manufacturing offers significant advantages, such as high quality, cost-effectiveness, rapid prototyping, less instrument reliance, less material waste, and adaptability to diverse surfaces, challenges related to uniformity and yield remain to be addressed before these technologies can be widely adopted for large-scale production. The second part focuses on various functional integration strategies to enhance the practical applicability of these biosensors, which is essential for their successful translation from laboratory research to commercialization. Specifically, it provides a comprehensive review of current miniaturized lab-on-a-chip systems, microfluidic manipulation, simultaneous sampling and detection, wearable implementation, and integration with the Internet of Things (IoT).
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Affiliation(s)
- Xiaoao Shi
- Chemical Sciences and Engineering Division, Physical Sciences and Engineering Directorate, Argonne National Laboratory, Lemont, Illinois 60439, USA.
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, USA
| | - Haihui Pu
- Chemical Sciences and Engineering Division, Physical Sciences and Engineering Directorate, Argonne National Laboratory, Lemont, Illinois 60439, USA.
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, USA
| | - Lewis L Shi
- Molecular Oncology Laboratory, Department of Orthopaedic Surgery and Rehabilitation, Chicago, Illinois 60637, USA
| | - Tong-Chuan He
- Molecular Oncology Laboratory, Department of Orthopaedic Surgery and Rehabilitation, Chicago, Illinois 60637, USA
| | - Junhong Chen
- Chemical Sciences and Engineering Division, Physical Sciences and Engineering Directorate, Argonne National Laboratory, Lemont, Illinois 60439, USA.
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, USA
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3
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Chen K, Liu S, Zhou Y, Zhao G. Monitoring and Analysis of Total Tetracyclines in Water from Different Environmental Scenarios Using a Designed Broad-Spectrum Aptamer. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2025; 59:5736-5746. [PMID: 40017122 DOI: 10.1021/acs.est.4c12923] [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: 03/01/2025]
Abstract
Tetracyclines (TCs) are widely present in the environment with extreme toxicity, low concentrations, coexistence with a variety of pollutants, and similarity in their individual molecular structures and toxicology. These challenges make it difficult to analyze and monitor TCs as a class of molecules simultaneously. In this study, a broad-spectrum aptamer capable of recognizing TCs was developed by artificially editing a single-specific aptamer. Subsequently, based on the mathematical proof of broad-spectrum aptamer detection of TCs, an electrochemical sensor was constructed to enable simple and rapid monitoring of TCs with high sensitivity, high selectivity, and a wide detection range. The sensor exhibits a detection range of 0.01 to 1000 nM and a detection limit of 1.18 pM, while maintaining excellent selectivity even in the presence of interfering substances at concentrations up to 100 times the test concentration. This sensor is suitable for quantifying the overall level of TCs in various environmental scenarios, facilitating the study of TCs transport and transformation processes in environmental systems. Finally, the broad-spectrum recognition mechanism of the aptamer was elucidated, which makes the method rational and universal, and will help future researchers to obtain broad-spectrum aptamers for rapid monitoring and analysis of multiple classes of pollutants.
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Affiliation(s)
- Kuang Chen
- School of Chemical Science and Engineering, Department of Thoracic Surgery, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration, Ministry of Education, Tongji Hospital, Tongji University, Shanghai 200092, People's Republic of China
| | - Siyao Liu
- School of Chemical Science and Engineering, Department of Thoracic Surgery, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration, Ministry of Education, Tongji Hospital, Tongji University, Shanghai 200092, People's Republic of China
| | - Yongxin Zhou
- School of Chemical Science and Engineering, Department of Thoracic Surgery, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration, Ministry of Education, Tongji Hospital, Tongji University, Shanghai 200092, People's Republic of China
| | - Guohua Zhao
- School of Chemical Science and Engineering, Department of Thoracic Surgery, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration, Ministry of Education, Tongji Hospital, Tongji University, Shanghai 200092, People's Republic of China
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4
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Mukherjee P, Sen S, Das A, Kundu S, RoyChaudhuri C. Graphene FET biochip on PCB reinforced by machine learning for ultrasensitive parallel detection of multiple antibiotics in water. Biosens Bioelectron 2025; 271:117023. [PMID: 39647407 DOI: 10.1016/j.bios.2024.117023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Revised: 11/29/2024] [Accepted: 11/30/2024] [Indexed: 12/10/2024]
Abstract
Antibiotics like Ciprofloxacin (Cfx), tetracycline (Tet) and Tobramycin (Tob) are commonly used against a broad-spectrum of bacterial infection. Recent surge in their uptake through the presence of their residues in environmental water has been linked to increased antibiotic resistance. Conventional methods for antibiotic monitoring by gold standards like LC-MS though sensitive and reliable, are expensive, requires dedicated equipment and complex sample processing steps. In this context, nanoscale field-effect transistors (FETs) present significant advantages of rapid measurement and ultra-high sensitivity but the device-device variations in the transfer characteristics originating from the inherent fluctuations in fabrication protocol of 2D materials, lead to stochasticity in bioreceptor orientation and binding densities which limits their potential for ultrasensitive and reliable detection of multiple antibiotics in river water. Here, we introduce a distinctive approach for few femtomolar detection of Cfx, Tet and Tob simultaneously in river water by developing thermally reduced graphene oxide (TRGO) FET array on printed circuit board utilizing copper plated electrodes where multiple features extracted from sensor transfer characteristics are processed by machine learning models, trained with moderate calibration dataset. The demonstrated methodology detects 1 fM concentration of Cfx, Tet and Tob with satisfactory accuracy within 20 min, using XGBoost model. The achieved detection limit is three and two orders of magnitude lower than previous reports of multiple and single antibiotic detection respectively. The TRGO FET sensor array interfaced with an electronic readout imparts capability to track the concentration of antibiotic contaminants in various water sources and adopt necessary measures for safe drinking water.
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Affiliation(s)
- P Mukherjee
- Department of Electronics & Telecommunication Engineering, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
| | - S Sen
- Department of Electronics & Telecommunication Engineering, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
| | - A Das
- Department of Electronics & Telecommunication Engineering, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
| | - S Kundu
- Dr. Bholanath Chakraborty Memorial Fundamental Research Laboratory (under CCRH), Centre of Healthcare Science & Technology, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
| | - C RoyChaudhuri
- Department of Electronics & Telecommunication Engineering, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India.
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Salehirozveh M, Bonné R, Kumar P, Abazar F, Dehghani P, Mijakovic I, Roy VAL. Enhanced detection of Brain-Derived Neurotrophic Factor (BDNF) using a reduced graphene oxide field-effect transistor aptasensor. NANOSCALE 2025; 17:4543-4555. [PMID: 39803882 DOI: 10.1039/d4nr04228j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/21/2025]
Abstract
Neurodegenerative diseases, characterized by the progressive deterioration of neuronal function and structure, pose significant global public health and economic challenges. Brain-Derived Neurotrophic Factor (BDNF), a key regulator of neuroplasticity and neuronal survival, has emerged as a critical biomarker for various neurodegenerative and psychiatric disorders, including Alzheimer's disease. Traditional diagnostic methods, such as Enzyme-Linked Immunosorbent Assay (ELISA) and electrochemiluminescence (ECL) assays, face limitations in terms of sensitivity, stability, reproducibility, and cost-effectiveness. In this research, we developed the first electrical aptasensor for BDNF detection, constructed on a flexible polyimide (PI) membrane coated with reduced graphene oxide (r-GO) and utilized an extended-gate field-effect transistor (EGFET) as the transducer. Comprehensive characterization of the sensor, coupled with the fine-tuning of aptamer concentration and the binding time of DNA aptamers to the chemical linker, was achieved through Electrochemical Impedance Spectroscopy (EIS) to boost sensitivity. Consequently, by utilizing the unique properties of r-GO and DNA aptamers, the aptasensor exhibited exceptional detection abilities, with a detection limit as low as 0.4 nM and an extensive response range spanning from 0.025 to 1000 nM. The flexible PI-based electrode offers exceptional stability, affordability, and durability for home diagnostics, enriched by the reusability of its electronic transducer, making the device highly portable and suitable for prolonged monitoring. Our aptasensor surpasses traditional methods, showcasing superior real-time performance and reliability. The high sensitivity and specificity of our aptasensor highlight its potential to significantly improve early diagnosis and therapeutic monitoring of neurodegenerative diseases such as Alzheimer's, representing a considerable advancement in the diagnosis and management of such conditions.
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Affiliation(s)
- Mostafa Salehirozveh
- Division of Systems and Synthetic Biology, Department of Life Sciences, Chalmers University of Technology, SE-41296, Gothenburg, Sweden
| | - Robin Bonné
- Center for Electromicrobiology (CEM), Aarhus University, Ny Munkegade 114, 8000 Aarhus, Denmark
| | - Peeyush Kumar
- Department of Engineering, Johannes Kepler University Linz - JKU, Austria
| | - Farbod Abazar
- Department of Information Engineering, University of Pisa, UNIPI, Pisa, Italy
| | - Parisa Dehghani
- James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
| | - Ivan Mijakovic
- Division of Systems and Synthetic Biology, Department of Life Sciences, Chalmers University of Technology, SE-41296, Gothenburg, Sweden
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark.
| | - Vellaisamy A L Roy
- James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
- School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong
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6
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Madej M, Knihnicki P, Porada R, Kochana J. (Bio)Electroanalysis of Tetracyclines: Recent Developments. BIOSENSORS 2025; 15:101. [PMID: 39997003 PMCID: PMC11853472 DOI: 10.3390/bios15020101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2024] [Revised: 01/16/2025] [Accepted: 02/06/2025] [Indexed: 02/26/2025]
Abstract
Tetracyclines (TCs) are antibiotics used extensively in medicine, veterinary science, and animal husbandry. Their overuse and the widespread presence of their residues in the environment contribute to intensifying the phenomenon of antibiotic resistance (ABR). The efforts are being made to reduce the spread of antibiotics and control the phenomenon of ABR, and one of the key methods is monitoring the presence of antibiotic residues in the environment and food of animal origin. Herein, we provide the overview of the recent developments in electrochemical (bio)sensing of tetracyclines in different types of samples. The review presents a comprehensive view of such aspects of the practical (bio)sensor application as sample preparation, the reusability of (bio)sensors, and the possibility of determining antibiotics at levels required by regulations. Advances, existing challenges, and future trends in the development of novel (bio)electrochemical methods of tetracycline quantification were discussed.
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Affiliation(s)
| | | | | | - Jolanta Kochana
- Department of Analytical Chemistry, Faculty of Chemistry, Jagiellonian University, Gronostajowa 2, 30-387 Kraków, Poland; (M.M.); (P.K.); (R.P.)
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7
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Zhang Z, Li H, Zhou N, Zheng Z, Zhai T, Xia F, Lou X. Protein Detection Based on Field-Effect Transistor Biosensors for Diagnosing Diseases. Anal Chem 2025; 97:1951-1959. [PMID: 39848614 DOI: 10.1021/acs.analchem.4c04178] [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: 01/25/2025]
Abstract
Proteins have been one of the most important biomarkers for diagnosing diseases, and field-effect transistor (FET) biosensors possess high sensitivity; are label-free; and feature real-time detection, rapidity, and easy integration for protein detection. FET biosensors are mainly made up of FET parts, such as channel materials, and bio parts, such as receptors. This Tutorial provides an in-depth exploration of FET biosensors for protein detection from the composition perspective and discusses the commercialization of point-of-care diagnostics of proteins based on FET biosensors.
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Affiliation(s)
- Zhicheng Zhang
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of the Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, P. R. China
| | - Haiyang Li
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of the Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, P. R. China
| | - Ning Zhou
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of the Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, P. R. China
| | - Zhi Zheng
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of the Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, P. R. China
| | - Tianyou Zhai
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, P. R. China
| | - Fan Xia
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of the Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, P. R. China
| | - Xiaoding Lou
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of the Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, P. R. China
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8
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Zhao W, Zhang W, Chen J, Li H, Han L, Li X, Wang J, Song W, Xu C, Cai X, Wang L. Sensitivity-Enhancing Strategies of Graphene Field-Effect Transistor Biosensors for Biomarker Detection. ACS Sens 2024; 9:2705-2727. [PMID: 38843307 DOI: 10.1021/acssensors.4c00322] [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: 06/29/2024]
Abstract
The ultrasensitive recognition of biomarkers plays a crucial role in the precise diagnosis of diseases. Graphene-based field-effect transistors (GFET) are considered the most promising devices among the next generation of biosensors. GFET biosensors possess distinct advantages, including label-free, ease of integration and operation, and the ability to directly detect biomarkers in liquid environments. This review summarized recent advances in GFET biosensors for biomarker detection, with a focus on interface functionalization. Various sensitivity-enhancing strategies have been overviewed for GFET biosensors, from the perspective of optimizing graphene synthesis and transfer methods, refinement of surface functionalization strategies for the channel layer and gate electrode, design of biorecognition elements and reduction of nonspecific adsorption. Further, this review extensively explores GFET biosensors functionalized with antibodies, aptamers, and enzymes. It delves into sensitivity-enhancing strategies employed in the detection of biomarkers for various diseases (such as cancer, cardiovascular diseases, neurodegenerative disorders, infectious viruses, etc.) along with their application in integrated microfluidic systems. Finally, the issues and challenges in strategies for the modulation of biosensing interfaces are faced by GFET biosensors in detecting biomarkers.
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Affiliation(s)
- Weilong Zhao
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
| | - Wenhong Zhang
- College of Mechanical Engineering, Donghua University, Shanghai 201620, China
| | - Jun Chen
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
| | - Huimin Li
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
| | - Lin Han
- Shenzhen Research Institute of Shandong University, Shenzhen 518057, China
| | - Xinyu Li
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong 250021, China
| | - Jing Wang
- College of Mechanical Engineering, Donghua University, Shanghai 201620, China
| | - Wei Song
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong 250021, China
| | - Chonghai Xu
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
| | - Xinxia Cai
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
| | - Li Wang
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
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9
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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.
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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
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10
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Zhong C, Zhang C, Yang Y, Liang X, Pang Q, Zhou L, Chen P. Synergistic effect of photoelectrochemical aptasensor based on staggered gap ZnO/BiFeO 3 heterojunction coupled with cDNA-CdS sensitizer enabling ultrasensitive assay of kanamycin. Food Chem 2024; 437:137877. [PMID: 37918155 DOI: 10.1016/j.foodchem.2023.137877] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 11/04/2023]
Abstract
Using staggered-gap ZnO/BiFeO3 heterojunction as photoactive materials and cDNA-CdS as the sensitizer for sensitive Kanamycin (KAN) detection, we have created a unique signal-off biosensing platform. The ZnO/BiFeO3 heterojunction provides active sites for aptamer loading and enhances photocurrent responsiveness. Rapid interfacial charge transfer and the separation efficiency of photo-generated carriers are enhanced by sensitization of the ternary heterojunction ZnO/BiFeO3/CdS. Signal-amplified quenching occurs when sensitizers are replaced with sterically hindered KAN. Because of the aptamer's greater affinity for KAN, the replacement of CdS causes a decrease in photocurrent response. Additionally, the weakly conductive aptamer-KAN complex causes steric hindrance, which exacerbates the photoelectrochemical signal-damping effect even more. The photoelectrochemical aptasensor exhibits excellent selectivity and stability, detecting KAN within the range of 0.00005825-0.233 μg/mL with a detection limit of 0.0466 ng/mL (S/N = 3). This work demonstrates the potential of perovskite oxides and their heterostructures for advanced photoelectrochemical biosensing applications.
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Affiliation(s)
- Chuanze Zhong
- School of Chemistry and Chemical Engineering, Guangxi Key Laboratory of Electrochemical Energy Materials, Guangxi Colleges and Universities Key Laboratory of Applied Chemistry Technology and Resource Development, Guangxi University, Nanning 530004, China
| | - Cuizhong Zhang
- School of Chemistry and Chemical Engineering, Guangxi Key Laboratory of Electrochemical Energy Materials, Guangxi Colleges and Universities Key Laboratory of Applied Chemistry Technology and Resource Development, Guangxi University, Nanning 530004, China; Photochemical Sensing and Regional Environmental Analysis Laboratory, School of Chemistry and Bioengineering, Guangxi Normal University for Nationalities, Chongzuo 532200, China
| | - Ye Yang
- School of Chemistry and Chemical Engineering, Guangxi Key Laboratory of Electrochemical Energy Materials, Guangxi Colleges and Universities Key Laboratory of Applied Chemistry Technology and Resource Development, Guangxi University, Nanning 530004, China
| | - Xuexue Liang
- School of Chemistry and Chemical Engineering, Guangxi Key Laboratory of Electrochemical Energy Materials, Guangxi Colleges and Universities Key Laboratory of Applied Chemistry Technology and Resource Development, Guangxi University, Nanning 530004, China
| | - Qi Pang
- School of Chemistry and Chemical Engineering, Guangxi Key Laboratory of Electrochemical Energy Materials, Guangxi Colleges and Universities Key Laboratory of Applied Chemistry Technology and Resource Development, Guangxi University, Nanning 530004, China
| | - Liya Zhou
- School of Chemistry and Chemical Engineering, Guangxi Key Laboratory of Electrochemical Energy Materials, Guangxi Colleges and Universities Key Laboratory of Applied Chemistry Technology and Resource Development, Guangxi University, Nanning 530004, China
| | - Peican Chen
- School of Chemistry and Chemical Engineering, Guangxi Key Laboratory of Electrochemical Energy Materials, Guangxi Colleges and Universities Key Laboratory of Applied Chemistry Technology and Resource Development, Guangxi University, Nanning 530004, China
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11
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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.
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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
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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.
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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
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Ono T, Okuda S, Ushiba S, Kanai Y, Matsumoto K. Challenges for Field-Effect-Transistor-Based Graphene Biosensors. MATERIALS (BASEL, SWITZERLAND) 2024; 17:333. [PMID: 38255502 PMCID: PMC10817696 DOI: 10.3390/ma17020333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 12/28/2023] [Accepted: 01/06/2024] [Indexed: 01/24/2024]
Abstract
Owing to its outstanding physical properties, graphene has attracted attention as a promising biosensor material. Field-effect-transistor (FET)-based biosensors are particularly promising because of their high sensitivity that is achieved through the high carrier mobility of graphene. However, graphene-FET biosensors have not yet reached widespread practical applications owing to several problems. In this review, the authors focus on graphene-FET biosensors and discuss their advantages, the challenges to their development, and the solutions to the challenges. The problem of Debye screening, in which the surface charges of the detection target are shielded and undetectable, can be solved by using small-molecule receptors and their deformations and by using enzyme reaction products. To address the complexity of sample components and the detection mechanisms of graphene-FET biosensors, the authors outline measures against nonspecific adsorption and the remaining problems related to the detection mechanism itself. The authors also introduce a solution with which the molecular species that can reach the sensor surfaces are limited. Finally, the authors present multifaceted approaches to the sensor surfaces that provide much information to corroborate the results of electrical measurements. The measures and solutions introduced bring us closer to the practical realization of stable biosensors utilizing the superior characteristics of graphene.
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Affiliation(s)
- Takao Ono
- SANKEN, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan
| | - Satoshi Okuda
- High Frequency & Optical Device Works, Mitsubishi Electric Corporation, 4-1 Mizuhara, Itami, Sendai 664-8641, Japan
| | - Shota Ushiba
- Murata Manufacturing Co., Ltd., 1-10-1 Higashikotari, Kyoto 617-8555, Japan
| | - Yasushi Kanai
- International Center for Synchrotron Radiation Innovation Smart, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai 980-8577, Japan
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Jiang Y, Wang X, Zhao G, Shi Y, Wu Y. In-situ SERS detection of quinolone antibiotic residues in aquaculture water by multifunctional Fe 3O 4@mTiO 2@Ag nanoparticles. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 302:123056. [PMID: 37385202 DOI: 10.1016/j.saa.2023.123056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 06/16/2023] [Accepted: 06/19/2023] [Indexed: 07/01/2023]
Abstract
Antibiotic residues in aquaculture environments disrupt the ecosystem balance and pose a potential hazard to human health when entering the food chain. Therefore, ultra-sensitive detection of antibiotics is necessary. In this study, a multifunctional Fe3O4@mTiO2@Ag core-shell nanoparticle (NP), synthesized using a layer-by-layer method, was demonstrated to be useful as an enhanced substrate for in-situ surface-enhanced Raman spectroscopy (SERS) detection of various quinolone antibiotics in aqueous environments. The results showed that the minimum detectable concentrations of the six investigated antibiotics were 1 × 10-9 mol/L (ciprofloxacin, danofloxacin, enoxacin, enrofloxacin, and norfloxacin) and 1 × 10-8 mol/L (difloxacin hydrochloride) under the enrichment and enhancement of Fe3O4@mTiO2@Ag NPs. Additionally, there was a good quantitative relationship between the antibiotics concentrations and SERS peak intensities within a certain detection range. The results of the spiked assay of actual aquaculture water samples showed that the recoveries of the six antibiotics ranged from 82.9% to 113.5%, with relative standard deviations ranging from 1.71% to 7.24%. In addition, Fe3O4@mTiO2@Ag NPs achieved satisfactory results in assisting the photocatalytic degradation of antibiotics in aqueous environments. This provides a multifunctional solution for low concentration detection and efficient degradation of antibiotics in aquaculture water.
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Affiliation(s)
- Ye Jiang
- College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
| | - Xiaochan Wang
- College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
| | - Guo Zhao
- College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China
| | - Yinyan Shi
- College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
| | - Yao Wu
- College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
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Le PG, Choi SH, Cho S. Alzheimer's Disease Biomarker Detection Using Field Effect Transistor-Based Biosensor. BIOSENSORS 2023; 13:987. [PMID: 37998162 PMCID: PMC10669709 DOI: 10.3390/bios13110987] [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: 10/27/2023] [Revised: 11/14/2023] [Accepted: 11/16/2023] [Indexed: 11/25/2023]
Abstract
Alzheimer's disease (AD) is closely related to neurodegeneration, leading to dementia and cognitive impairment, especially in people aged > 65 years old. The detection of biomarkers plays a pivotal role in the diagnosis and treatment of AD, particularly at the onset stage. Field-effect transistor (FET)-based sensors are emerging devices that have drawn considerable attention due to their crucial ability to recognize various biomarkers at ultra-low concentrations. Thus, FET is broadly manipulated for AD biomarker detection. In this review, an overview of typical FET features and their operational mechanisms is described in detail. In addition, a summary of AD biomarker detection and the applicability of FET biosensors in this research field are outlined and discussed. Furthermore, the trends and future prospects of FET devices in AD diagnostic applications are also discussed.
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Affiliation(s)
- Phan Gia Le
- Department of Electronic Engineering, Gachon University, Seongnam-si 13120, Republic of Korea
| | - Seong Hye Choi
- Department of Neurology, College of Medicine, Inha University, Incheon 22332, Republic of Korea
| | - Sungbo Cho
- Department of Electronic Engineering, Gachon University, Seongnam-si 13120, Republic of Korea
- Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon 21999, Republic of Korea
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Ding M, Zhang S, Wang J, Ding Y, Ding C. Ultrasensitive Ratiometric Electrochemiluminescence Sensor with an Efficient Antifouling and Antibacterial Interface of PSBMA@SiO 2-MXene for Oxytetracycline Trace Detection in the Marine Environment. Anal Chem 2023; 95:16327-16334. [PMID: 37888537 DOI: 10.1021/acs.analchem.3c03555] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
The sensitivity and accuracy of electrochemiluminescence (ECL) sensors for detecting small-molecule pollutants in environmental water are affected not only by nonspecific adsorption of proteins and other molecules but also by bacterial interference. Therefore, there is an urgent need to develop an ECL sensor with antifouling and antibacterial functions for water environment monitoring. Herein, a highly efficient antifouling sensing interface (PSBMA@SiO2-MXene) based on zwitterionic sulfobetaine methacrylate (SBMA) antifouling nanospheres (NPs) and two-dimensional MXene nanosheets was designed for the sensitive detection of oxytetracycline (OTC), an antibiotic small-molecule pollutant. Specifically, SBMA with good hydrophilicity and electrical neutrality was connected to SiO2 NPs, thus effectively reducing protein and bacterial adsorption and improving stability. Second, MXene with a high specific surface area was selected as the carrier to load more antifouling NPs, which greatly improves the antifouling performance. Meanwhile, the introduction of MXene also enhances the conductivity of the antifouling interface. In addition, a ratio-based sensing strategy was designed to further improve the detection accuracy and sensitivity of the sensor by utilizing Au@luminol as an internal standard factor. Based on antifouling and antibacterial interfaces, as well as internal standard and ratiometric sensing strategies, the detection range of the proposed sensor was 0.1 ng/mL to 100 μg/mL, with a detection limit of 0.023 ng/mL, achieving trace dynamic monitoring of antibiotics in complex aqueous media.
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Affiliation(s)
- Mengli Ding
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, Ministry of Education; Shandong Key Laboratory of Biochemical Analysis; Key Laboratory of Analytical Chemistry for Life Science in Universities of Shandong; College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, PR China
| | - Shulei Zhang
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, Ministry of Education; Shandong Key Laboratory of Biochemical Analysis; Key Laboratory of Analytical Chemistry for Life Science in Universities of Shandong; College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, PR China
| | - Jinge Wang
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, Ministry of Education; Shandong Key Laboratory of Biochemical Analysis; Key Laboratory of Analytical Chemistry for Life Science in Universities of Shandong; College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, PR China
| | - Yan Ding
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, Ministry of Education; Shandong Key Laboratory of Biochemical Analysis; Key Laboratory of Analytical Chemistry for Life Science in Universities of Shandong; College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, PR China
| | - Caifeng Ding
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, Ministry of Education; Shandong Key Laboratory of Biochemical Analysis; Key Laboratory of Analytical Chemistry for Life Science in Universities of Shandong; College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, PR China
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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.
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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.)
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Li X, Li Y, Wang Y, Liang P, Lai G. Distance-Regulated Photoelectrochemical Sensor "Signal-On" and "Signal-Off" Transitions for the Multiplexed Detection of Viruses Exposed in the Aquatic Environment. Anal Chem 2023; 95:13922-13931. [PMID: 37671934 DOI: 10.1021/acs.analchem.3c02316] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/07/2023]
Abstract
Photochemical (PEC) sensors were severely limited for multiplex detection applications due to the cross interference between multiplex signals at the single recognition interface. In this work, a distance-regulated PEC sensor was developed for multiplex detection by using an i-Motif sequence with conformational transformation activity as the signal transduction unit. Through dynamic regulation of the spatial distance between the end site of the functional sequence and the electrode material, the photogenerated electrons on the surface of the sensor were directionally transferred. Thus, a PEC sensor with "signal-on" and "signal-off" dual signal output modes was developed for simultaneous detection of multitarget molecules. Combining isothermal nucleic acid amplification, the PEC sensor constructed in this work was successfully applied to the detection of two virus (Norovirus and Rotavirus) nucleic acid sequences. Under the optimal condition, this bioassay protocol exhibits a linear range of 0.01-100 nM for both viruses with detection limits of 0.72 and 0.53 pM, respectively. In this study, a stimulus-mediated distance regulation strategy successfully addressed the transduction of multiplex detection signals at the single recognition interface of the PEC sensor. It is expected that the technical barriers to multiplex detection of PEC sensors will be overcome and the application of PEC sensing technology will be expanded in the field of environmental analysis.
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Affiliation(s)
- Xin Li
- Hubei Key Laboratory of Pollutant Analysis & Reuse Technology, College of Chemistry and Chemical Engineering, Hubei Normal University, Huangshi 435002, P. R. China
| | - Yishuang Li
- Hubei Key Laboratory of Pollutant Analysis & Reuse Technology, College of Chemistry and Chemical Engineering, Hubei Normal University, Huangshi 435002, P. R. China
| | - Yuxin Wang
- Hubei Key Laboratory of Pollutant Analysis & Reuse Technology, College of Chemistry and Chemical Engineering, Hubei Normal University, Huangshi 435002, P. R. China
| | - Pan Liang
- Hubei Key Laboratory of Pollutant Analysis & Reuse Technology, College of Chemistry and Chemical Engineering, Hubei Normal University, Huangshi 435002, P. R. China
| | - Guosong Lai
- Hubei Key Laboratory of Pollutant Analysis & Reuse Technology, College of Chemistry and Chemical Engineering, Hubei Normal University, Huangshi 435002, P. R. China
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Liu R, Yun Y, Feng ZY, Chen M, Zhang J. Rational Design of Trident Aptamer Scaffold for Rapid and Accurate Monitoring of 25-Hydroxyvitamin D 3 Metabolism in Living Cells. Anal Chem 2023. [PMID: 37339384 DOI: 10.1021/acs.analchem.3c00994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/22/2023]
Abstract
The level of 25-hydroxyvitamin D3 [25(OH)VD3] in human blood is considered as the best indicator of vitamin D status, and its deficiency or excess can lead to various health problems. Current methods for monitoring 25(OH)VD3 metabolism in living cells have limitations in terms of sensitivity and specificity and are often expensive and time-consuming. To address these issues, an innovative trident scaffold-assisted aptasensor (TSA) system has been developed for the online quantitative monitoring of 25(OH)VD3 in complex biological environments. Through the computer-aided design, the TSA system includes an aptamer molecule recognition layer that is uniformly oriented, maximizing binding site availability, and enhancing sensitivity. The TSA system achieved the direct, highly sensitive, and selective detection of 25(OH)VD3 over a wide concentration range (17.4-12,800 nM), with a limit of detection of 17.4 nM. Moreover, we evaluated the efficacy of the system in monitoring the biotransformation of 25(OH)VD3 in human liver cancer cells (HepG2) and normal liver cells (L-02), demonstrating its potential as a platform for drug-drug interaction studies and candidate drug screening.
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Affiliation(s)
- Ran Liu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing 210023, China
| | - Yangfang Yun
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing 210023, China
| | - Zhi-Yuan Feng
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing 210023, China
| | - Mohan Chen
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing 210023, China
| | - Jingjing Zhang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing 210023, China
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