1
|
Hensel RC, Di Vizio B, Materòn EM, Shimizu FM, Angelim MKSC, de Souza GF, Módena JLP, Moraes-Vieira PMM, de Azevedo RB, Litti L, Agnoli S, Casalini S, Oliveira ON. Enhanced performance of impedimetric immunosensors to detect SARS-CoV-2 with bare gold nanoparticles and graphene acetic acid. Talanta 2025; 281:126903. [PMID: 39326119 DOI: 10.1016/j.talanta.2024.126903] [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: 06/07/2024] [Revised: 08/26/2024] [Accepted: 09/16/2024] [Indexed: 09/28/2024]
Abstract
Immunosensors based on electrical impedance spectroscopy allow for label-free, real-time detection of biologically relevant molecules and pathogens, without requiring electro-active materials. Here, we investigate the influence of bare gold nanoparticles (AuNPs), synthesized via laser ablation in solution, on the performance of an impedimetric immunosensor for detecting severe acute respiratory syndrome coronavirus (SARS-CoV-2). Graphene acetic acid (GAA) was used in the active layer for immobilizing anti-SARS-CoV-2 antibodies, owing to its high density of carboxylic groups. Immunosensors incorporating AuNPs exhibited superior performance compared to those relying solely on GAA, achieving a limit of detection (LoD) of 3 x 10-20 g/mL to detect the Spike Receptor Binding Domain (RBD) protein of SARS-CoV-2 and of 2 PFU/mL for inactivated virus. Moreover, these immunosensors presented high selectivity against the H1N1 influenza virus. We anticipate that this platform will be versatile and applicable in the early diagnosis of various diseases and viral infections, thereby facilitating Point-of-Care testing.
Collapse
Affiliation(s)
- Rafael C Hensel
- Sao Carlos Institute of Physics, University of Sao Paulo, Sao Carlos, Brazil.
| | - Biagio Di Vizio
- Department of Chemical Sciences, University of Padua, Padua, Italy
| | - Elsa M Materòn
- Sao Carlos Institute of Physics, University of Sao Paulo, Sao Carlos, Brazil; Sao Carlos Institute of Chemistry, University of Sao Paulo, São Carlos, Brazil
| | - Flávio M Shimizu
- Institute of Physics Gleb Wataghin, University of Campinas, Campinas, Brazil
| | - Monara Kaelle S C Angelim
- Laboratory of Immunometabolism, Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, Brazil
| | - Gabriela F de Souza
- Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology - University of Campinas, Campinas, Brazil
| | - José L P Módena
- Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology - University of Campinas, Campinas, Brazil
| | - Pedro M M Moraes-Vieira
- Laboratory of Immunometabolism, Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, Brazil
| | | | - Lucio Litti
- Department of Chemical Sciences, University of Padua, Padua, Italy
| | - Stefano Agnoli
- Department of Chemical Sciences, University of Padua, Padua, Italy
| | - Stefano Casalini
- Department of Chemical Sciences, University of Padua, Padua, Italy
| | - Osvaldo N Oliveira
- Sao Carlos Institute of Physics, University of Sao Paulo, Sao Carlos, Brazil.
| |
Collapse
|
2
|
Jaiswal A, Mishra S, Dwivedi PK, Verma S. SERS-Based Microfluidic Bioscreening Platform for Selective Detection of β-Amyloid Peptides. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2024; 40:24463-24470. [PMID: 39514697 DOI: 10.1021/acs.langmuir.4c03042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
This study reports development of a microfluidic device for highly sensitive and selective detection of a β-amyloid peptide (Aβ1-42) in simulated cerebrospinal fluid, using surface-enhanced Raman spectroscopy (SERS). The device ensemble comprises a purine ligand (Pu) and its interaction with silver nanoparticles (AgNPs) to generate SERS hotspots. The low surface energy of the synthesized Pu ligand and high surface energy of AgNPs are utilized for the functionalization and formation of a Pu-AgNP SERS substrate. We have integrated a novel polydimethylsiloxane (PDMS) microfluidic device with Pu-AgNPs using a combination of photo- and soft lithography fabrication, sealed by thermal cross-linking with another layer of PDMS, to produce an effective screening platform for Aβ1-42. The SERS spectrum from the microfluidic device affords almost noise-free measurements, with excellent limit-of-detection values.
Collapse
Affiliation(s)
- Ankita Jaiswal
- Department of Chemistry, Center for Environmental Sciences and Engineering, Center for Nanosciences, and Mehta Family Center for Engineering in Medicine, Indian Institute of Technology Kanpur, Kanpur 208016, Uttar Pradesh, India
| | - Shubham Mishra
- Center for Nanosciences, Indian Institute of Technology Kanpur, Kanpur 208016, Uttar Pradesh, India
| | - Prabhat K Dwivedi
- Center for Nanosciences, Indian Institute of Technology Kanpur, Kanpur 208016, Uttar Pradesh, India
| | - Sandeep Verma
- Department of Chemistry, Center for Environmental Sciences and Engineering, Center for Nanosciences, and Mehta Family Center for Engineering in Medicine, Indian Institute of Technology Kanpur, Kanpur 208016, Uttar Pradesh, India
| |
Collapse
|
3
|
Nazir S, Iqbal RA. Recent Progress in the Application of Tau Protein Biosensors for Diagnosis of Neurodegenerative Diseases. Appl Biochem Biotechnol 2024; 196:7476-7502. [PMID: 38696096 DOI: 10.1007/s12010-024-04960-0] [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] [Accepted: 04/16/2024] [Indexed: 11/21/2024]
Abstract
The microtubule-associated Tau protein is found in the central nervous system (CNS) in six major isoforms. Neurodegenerative diseases have been linked to post-translational changes of Tau, most notably phosphorylation. Tau protein's molecular diversity is highly helpful in the identification of neurodegenerative illnesses. Nonetheless, one major obstacle to the early detection of brain illness is the nanoscale identification of tau proteins. The standard methods for identifying tau protein include western blotting, polymerase chain reaction (PCR), and real-time PCR. Enzyme-linked immunosorbent assay (ELISA) is another approach used. The limited sensitivity and specificity of these detections, together with the need for sophisticated equipment, are some of their drawbacks. The development of innovative and complex methods for tau protein screening is necessary to address the aforementioned issues. Biosensors are a cutting-edge instrument that may help identify various neurodegenerative biomarkers as early as feasible. This paper provides an overview of the most recent developments in the detection of neurodegenerative diseases employing biosensors built on nanotechnology and methods for imaging, electrochemical, and optical detection of the Tau protein. Furthermore, we outline the present difficulties and suggest a possible course for biosensor-based detection and intervention in the future.
Collapse
Affiliation(s)
- Sophia Nazir
- Wolfson Nanomaterials & Devices Laboratory, School of Computing, Electronics and Mathematics, Plymouth University, Devon, PL4 8AA, UK.
| | - Rabail Azhar Iqbal
- C.M.H Lahore Medical College, University of Health Sciences, Abdur Rahman Road, Lahore Cantt, Pakistan
| |
Collapse
|
4
|
Rajendran K, Krishnan UM. Biomarkers in Alzheimer's disease. Clin Chim Acta 2024; 562:119857. [PMID: 38986861 DOI: 10.1016/j.cca.2024.119857] [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: 05/13/2024] [Revised: 07/05/2024] [Accepted: 07/06/2024] [Indexed: 07/12/2024]
Abstract
Alzheimer's disease (AD) is among the most common neurodegenerative disorders. AD is characterized by deposition of neurofibrillary tangles and amyloid plaques, leading to associated secondary pathologies, progressive neurodegeneration, and eventually death. Currently used diagnostics are largely image-based, lack accuracy and do not detect early disease, ie, prior to onset of symptoms, thus limiting treatment options and outcomes. Although biomarkers such as amyloid-β and tau protein in cerebrospinal fluid have gained much attention, these are generally limited to disease progression. Unfortunately, identification of biomarkers for early and accurate diagnosis remains a challenge. As such, body fluids such as sweat, serum, saliva, mucosa, tears, and urine are under investigation as alternative sources for biomarkers that can aid in early disease detection. This review focuses on biomarkers identified through proteomics in various biofluids and their potential for early and accurate diagnosis of AD.
Collapse
Affiliation(s)
- Kayalvizhi Rajendran
- Centre for Nanotechnology & Advanced Biomaterials, SASTRA Deemed University, Thanjavur, India; School of Chemical & Biotechnology, SASTRA Deemed University, Thanjavur, India
| | - Uma Maheswari Krishnan
- Centre for Nanotechnology & Advanced Biomaterials, SASTRA Deemed University, Thanjavur, India; School of Arts, Sciences, Humanities, & Education, SASTRA Deemed University, Thanjavur, India.
| |
Collapse
|
5
|
Rubby MF, Fonder C, Uchayash S, Liang X, Sakaguchi DS, Que L. Assessment of the Behaviors of an In Vitro Brain Model On-Chip under Shockwave Impacts. ACS APPLIED MATERIALS & INTERFACES 2024; 16:33246-33258. [PMID: 38905518 DOI: 10.1021/acsami.4c08026] [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: 06/23/2024]
Abstract
Herein we report the assessment of the effects of shockwave (SW) impacts on adult rat hippocampal progenitor cell (AHPC) neurospheres (NSs), which are used as in vitro brain models, for enhancing our understanding of the mechanisms of traumatic brain injury (TBI). The assessment has been achieved by using culture dishes and a new microchip. The microchip allows the chemicals released from the brain models cultured inside the cell culture chamber under SW impacts to diffuse to the nanosensors in adjacent sensor chambers through built-in diffusion barriers, which are used to prevent the cells from entering the sensor chambers, thereby mitigating the biofouling issues of the sensor surface. Experiments showed the negative impact of the SW on the viability, proliferation, and differentiation of the cells within the NSs. A qPCR gene expression analysis was performed and appeared to confirm some of the immunocytochemistry (ICC) results. Finally, we demonstrated that the microchip can be used to monitor lactate dehydrogenase (LDH) released from the AHPC-NSs subjected to SW impacts. As expected, LDH levels changed when AHPC-NSs were injured by SW impacts, verifying this chip can be used for assessing the degrees of injuries to AHPC-NSs by monitoring LDH levels. Taken together, these results suggest the feasibility of using the chip to better understand the interactions between SW impacts and in vitro brain models, paving the way for potentially establishing in vitro TBI models on a chip.
Collapse
Affiliation(s)
- Md Fazlay Rubby
- Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, United States
| | - Catherine Fonder
- Molecular, Cellular, and Developmental Biology Program, Iowa State University, Ames, Iowa 50011, United States
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, Iowa 50011, United States
- Nanovaccine Institute, Iowa State University, Ames, Iowa 50011, United States
| | - Sajid Uchayash
- Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, United States
| | - Xiaogan Liang
- Department of Mechanical Engineering, University of Michigan at Ann Arbor, Ann Arbor, Michigan 48109, United States
| | - Donald S Sakaguchi
- Molecular, Cellular, and Developmental Biology Program, Iowa State University, Ames, Iowa 50011, United States
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, Iowa 50011, United States
- Neuroscience Program, Iowa State University, Ames, Iowa 50011, United States
- Nanovaccine Institute, Iowa State University, Ames, Iowa 50011, United States
| | - Long Que
- Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, United States
| |
Collapse
|
6
|
Spitz S, Schobesberger S, Brandauer K, Ertl P. Sensor-integrated brain-on-a-chip platforms: Improving the predictive validity in neurodegenerative research. Bioeng Transl Med 2024; 9:e10604. [PMID: 38818126 PMCID: PMC11135156 DOI: 10.1002/btm2.10604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 08/31/2023] [Accepted: 09/12/2023] [Indexed: 06/01/2024] Open
Abstract
Affecting millions of individuals worldwide, neurodegenerative diseases (NDDs) pose a significant and growing health concern in people over the age of 60 years. Contributing to this trend are the steady increase in the aging population coupled with a persistent lack of disease-altering treatment strategies targeting NDDs. The absence of efficient therapeutics can be attributed to high failure rates in clinical trials and the ineptness of animal models in preceding preclinical studies. To that end, in recent years, significant research effort has been dedicated to the development of human cell-based preclinical disease models characterized by a higher degree of predictive validity. However, a key requirement of any in vitro model constitutes the precise knowledge and replication of the target tissues' (patho-)physiological microenvironment. Herein, microphysiological systems have demonstrated superiority over conventional static 2D/3D in vitro cell culture systems, as they allow for the emulation and continuous monitoring of the onset, progression, and remission of disease-associated phenotypes. This review provides an overview of recent advances in the field of NDD research using organ-on-a-chip platforms. Specific focus is directed toward non-invasive sensing strategies encompassing electrical, electrochemical, and optical sensors. Additionally, promising on- and integrable off-chip sensing strategies targeting key analytes in NDDs will be presented and discussed in detail.
Collapse
Affiliation(s)
- Sarah Spitz
- Faculty of Technical ChemistryVienna University of TechnologyViennaAustria
- Present address:
Department of Mechanical Engineering and Biological EngineeringMassachusetts Institute of TechnologyCambridgeMassachusettsUSA
| | | | | | - Peter Ertl
- Faculty of Technical ChemistryVienna University of TechnologyViennaAustria
| |
Collapse
|
7
|
Kaya BM, Oz S, Esenturk O. Application of fiber loop ringdown spectroscopy technique for a new approach to beta-amyloid monitoring for Alzheimer Disease's early detection. Biomed Phys Eng Express 2024; 10:035037. [PMID: 38626737 DOI: 10.1088/2057-1976/ad3f1f] [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: 12/19/2023] [Accepted: 04/16/2024] [Indexed: 04/18/2024]
Abstract
A novel fiber optic biosensor was purposed for a new approach to monitor amyloid beta protein fragment 1-42 (Aβ42) for Alzheimer's Disease (AD) early detection. The sensor was fabricated by etching a part of fiber from single mode fiber loop in pure hydrofluoric acid solution and utilized as a Local Optical Refractometer (LOR) to monitor the change Aβ42 concentration in Artificial Cerebrospinal Fluid (ACSF). The Fiber Loop Ringdown Spectroscopy (FLRDS) technique is an ultra-sensitive measurement technique with low-cost, high sensitivity, real-time measurement, continuous measurement and portability features that was utilized with a fiber optic sensor for the first time for the detection of a biological signature in an ACSF environment. Here, the measurement is based on the total optical loss detection when specially fabricated sensor heads were immersed into ACSF solutions with and without different concentrations of Aβ42 biomarkers since the bulk refractive index change was performed. Baseline stability and the reference ring down times of the sensor head were measured in the air as 0.87% and 441.6μs ± 3.9μs, respectively. Afterward, the total optical loss of the system was measured when the sensor head was immersed in deionized water, ACSF solution, and ACSF solutions with Aβ42 in different concentrations. The lowest Aβ42 concentration of 2 ppm was detected by LOR. Results showed that LOR fabricated by single-mode fibers for FLRDS system design are promising candidates to be utilized as fiber optic biosensors after sensor head modification and have a high potential for early detection applications of not only AD but possibly also several fatal diseases such as diabetes and cancer.
Collapse
Affiliation(s)
- Burak Malik Kaya
- Vocational School of Health Service, Eskisehir Osmangazi University, Eskisehir, 26480, Turkey
- Translational Medicine Research Center, Eskisehir Osmangazi University, Eskisehir, 26480, Turkey
| | - Semih Oz
- Vocational School of Health Service, Eskisehir Osmangazi University, Eskisehir, 26480, Turkey
| | - Okan Esenturk
- Department of Chemistry, Middle East Technical University, Ankara, 06800, Turkey
| |
Collapse
|
8
|
Huang L, Zhang C, Ye R, Yan B, Zhou X, Xu W, Guo J. Capacitive biosensors for label-free and ultrasensitive detection of biomarkers. Talanta 2024; 266:124951. [PMID: 37487266 DOI: 10.1016/j.talanta.2023.124951] [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: 05/04/2023] [Revised: 07/10/2023] [Accepted: 07/14/2023] [Indexed: 07/26/2023]
Abstract
Capacitive biosensors are label-free capacitors that can detect biomarkers with the outstanding advantages of simplicity, low cost, and ultrahigh sensitivity. A typical capacitive biosensor consists of a bioreceptor and a transducer, where the bioreceptor captures the biomarker to form a bioreceptor/biomarker conjugate and the transducer generates a detectable signal. In general, antibodies, aptamers, or proteins are exploited as the bioreceptor, while various electrodes including carbon electrodes (CEs), gold electrodes (AuEs), or interdigitated electrodes (IDEs) may serve as the transducer. Because the formation of bioreceptor/biomarker conjugates often leads to a change in capacitance, the capacitive signal is then employed for biomarker detection. This review summarizes recent advances in capacitive biosensors for the detection of biomarkers over the last five years. With a focus on the three common types of bioreceptors, i.e., antibodies, aptamers, and proteins, capacitive biosensors using CEs, AuEs, and IDEs as the transducers are discussed in detail. The immobilization of bioreceptors and signal amplification strategies are described to provide a robust overview of capacitive biosensors for biomarker detection. In addition, analytical methods and future prospects are given to support the application of capacitive biosensors.
Collapse
Affiliation(s)
- Lei Huang
- Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China; School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China
| | - Cheng Zhang
- Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China
| | - Run Ye
- Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China
| | - Bin Yan
- Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China.
| | - Xiaojia Zhou
- Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China.
| | - Wenbo Xu
- School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China
| | - Jinhong Guo
- School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
| |
Collapse
|
9
|
Murillo AMM, Laguna MF, Valle LG, Tramarin L, Ramirez Y, Lavín Á, Santamaría B, Holgado M. A New Optical Interferometric Biosensing System Enhanced with Nanoparticles for Alzheimer's Disease in Serum. BIOSENSORS 2023; 13:707. [PMID: 37504106 PMCID: PMC10377685 DOI: 10.3390/bios13070707] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/26/2023] [Accepted: 07/04/2023] [Indexed: 07/29/2023]
Abstract
In this scientific work, we demonstrate, for the first time, a new biosensing system and procedure to measure specifically the total Tau (T-Tau) protein in serum, one of the most relevant biomarkers of Alzheimer's disease (AD). AD is a progressive brain disorder that produces neuronal and cognitive dysfunction and affects a high percentage of people worldwide. For this reason, diagnosing AD at the earliest possible stage involves improving diagnostic systems. We report on the use of interferometric bio-transducers integrated with 65 microwells forming diagnostic KITs read-out by using the Interferometric Optical Detection Method (IODM). Moreover, biofunctionalized silicon dioxide (SiO2) nanoparticles (NPs) acting as interferometric enhancers of the bio-transducers signal allow for the improvement of both the optical read-out signal and its ability to work with less-invasive biological samples such as serum instead of cerebrospinal fluid (CSF). As a result, in this paper, we describe for the first time a relevant diagnostic alternative to detect Tau protein at demanding concentrations of 10 pg/mL or even better, opening the opportunity to be used for detecting other relevant AD-related biomarkers in serum, such as β-amyloid and phosphorylated Tau (P-Tau), neurofilaments, among others that can be considered relevant for AD.
Collapse
Affiliation(s)
- Ana María M Murillo
- Group of Optics, Photonics, and Biophotonics, Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Parque Científico y Tecnológico de la UPM, Campus de Montegancedo, Pozuelo de Alarcón, 28223 Madrid, Spain
- Group of Organ and Tissue on-a-Chip and In-Vitro Detection, Health Research Institute of the Hospital Clínico San Carlos, IdISSC, C/Profesor Martín Lagos s/n, 4ª Planta Sur, 28040 Madrid, Spain
| | - María Fe Laguna
- Group of Optics, Photonics, and Biophotonics, Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Parque Científico y Tecnológico de la UPM, Campus de Montegancedo, Pozuelo de Alarcón, 28223 Madrid, Spain
- Group of Organ and Tissue on-a-Chip and In-Vitro Detection, Health Research Institute of the Hospital Clínico San Carlos, IdISSC, C/Profesor Martín Lagos s/n, 4ª Planta Sur, 28040 Madrid, Spain
- Department of Applied Physics and Materials Engineering, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, C/José Gutiérrez Abascal, 2, 28006 Madrid, Spain
| | - Luis G Valle
- Group of Optics, Photonics, and Biophotonics, Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Parque Científico y Tecnológico de la UPM, Campus de Montegancedo, Pozuelo de Alarcón, 28223 Madrid, Spain
- Group of Organ and Tissue on-a-Chip and In-Vitro Detection, Health Research Institute of the Hospital Clínico San Carlos, IdISSC, C/Profesor Martín Lagos s/n, 4ª Planta Sur, 28040 Madrid, Spain
| | - Luca Tramarin
- Group of Optics, Photonics, and Biophotonics, Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Parque Científico y Tecnológico de la UPM, Campus de Montegancedo, Pozuelo de Alarcón, 28223 Madrid, Spain
- Group of Organ and Tissue on-a-Chip and In-Vitro Detection, Health Research Institute of the Hospital Clínico San Carlos, IdISSC, C/Profesor Martín Lagos s/n, 4ª Planta Sur, 28040 Madrid, Spain
| | - Yolanda Ramirez
- Group of Optics, Photonics, and Biophotonics, Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Parque Científico y Tecnológico de la UPM, Campus de Montegancedo, Pozuelo de Alarcón, 28223 Madrid, Spain
| | - Álvaro Lavín
- Group of Optics, Photonics, and Biophotonics, Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Parque Científico y Tecnológico de la UPM, Campus de Montegancedo, Pozuelo de Alarcón, 28223 Madrid, Spain
- Group of Organ and Tissue on-a-Chip and In-Vitro Detection, Health Research Institute of the Hospital Clínico San Carlos, IdISSC, C/Profesor Martín Lagos s/n, 4ª Planta Sur, 28040 Madrid, Spain
- Department of Applied Physics and Materials Engineering, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, C/José Gutiérrez Abascal, 2, 28006 Madrid, Spain
| | - Beatriz Santamaría
- Group of Optics, Photonics, and Biophotonics, Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Parque Científico y Tecnológico de la UPM, Campus de Montegancedo, Pozuelo de Alarcón, 28223 Madrid, Spain
- Group of Organ and Tissue on-a-Chip and In-Vitro Detection, Health Research Institute of the Hospital Clínico San Carlos, IdISSC, C/Profesor Martín Lagos s/n, 4ª Planta Sur, 28040 Madrid, Spain
- Department of Mechanics, Chemistry and Industrial Design Engineering, Escuela Superior de Ingeniería y Diseño Industrial, Universidad Politécnica de Madrid, Ronda de Valencia 3, 28012 Madrid, Spain
| | - Miguel Holgado
- Group of Optics, Photonics, and Biophotonics, Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Parque Científico y Tecnológico de la UPM, Campus de Montegancedo, Pozuelo de Alarcón, 28223 Madrid, Spain
- Group of Organ and Tissue on-a-Chip and In-Vitro Detection, Health Research Institute of the Hospital Clínico San Carlos, IdISSC, C/Profesor Martín Lagos s/n, 4ª Planta Sur, 28040 Madrid, Spain
- Department of Applied Physics and Materials Engineering, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, C/José Gutiérrez Abascal, 2, 28006 Madrid, Spain
| |
Collapse
|
10
|
Sadeghzadeh J, Shahabi P, Farhoudi M, Ebrahimi-Kalan A, Mobed A, Shahpasand K. Tau Protein Biosensors in the Diagnosis of Neurodegenerative Diseases. Adv Pharm Bull 2023; 13:502-511. [PMID: 37646056 PMCID: PMC10460811 DOI: 10.34172/apb.2023.061] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 10/01/2022] [Accepted: 11/02/2022] [Indexed: 09/01/2023] Open
Abstract
Tau protein plays a crucial role in diagnosing neurodegenerative diseases. However, performing an assay to detect tau protein on a nanoscale is a great challenge for early diagnosis of diseases. Enzyme-linked immunosorbent assay (ELISA), western-blotting, and molecular-based methods, e.g., PCR and real-time PCR, are the most widely used methods for detecting tau protein. These methods are subject to certain limitations: the need for advanced equipment, low sensitivity, and specificity, to name a few. With the above said, it is necessary to discover advanced and novel methods for monitoring tau protein. Counted among remarkable approaches adopted by researchers, biosensors can largely eliminate the difficulties and limitations associated with conventional methods. The main objective of the present study is to review the latest biosensors developed to detect the tau protein. Furthermore, the problems and limitations of conventional diagnosis methods were discussed in detail.
Collapse
Affiliation(s)
- Jafar Sadeghzadeh
- Department of Neurosciences and Cognition, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences,Tabriz, Iran
| | - Parviz Shahabi
- Department of Physiology, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mehdi Farhoudi
- Department of Neurosciences and Cognition, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences,Tabriz, Iran
| | - Abbas Ebrahimi-Kalan
- Neuroscience Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ahmad Mobed
- Physical Medicine and Rehabilitation Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Kourosh Shahpasand
- Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology (RI-SCBT), Tehran, Iran
| |
Collapse
|
11
|
Mao S, Zhao J, Ding X, Vuong VA, Song J, Que L. Integrated Sensing Chip for Ultrasensitive Label-Free Detection of the Products of Loop-Mediated Isothermal Amplification. ACS Sens 2023; 8:2255-2262. [PMID: 37276452 DOI: 10.1021/acssensors.3c00227] [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: 06/07/2023]
Abstract
Loop-mediated isothermal amplification (LAMP) is a nucleic acid amplification technique that has been widely used for the detection of pathogens in many organisms. Current LAMP-based sensors usually require the LAMP products to be labeled in order for them to be detected. Here, we present a novel label-free LAMP chip, which consists of a nanopore thin-film sensor embedded inside a LAMP reaction chamber. A fraction of LAMP primers is immobilized on the sensor surface, allowing the LAMP products to be synthesized and bound to the sensor surface via immobilized primers. After the LAMP reaction components are removed from the reaction chamber, the amplified LAMP products bound to the sensor surface give rise to significantly increased transducing signals, which can be measured by a portable optical spectrometer through an optical fiber probe. As a demonstration, we used the LAMP chip to detect the causal agent of late blight, Phytophthora infestans, which is one of the most devastating plant pathogens and poses a major threat to sustainable crop production worldwide. We show that this chip can detect as low as 1 fg/μL of P. infestans DNA in 30 min, which corresponds to an attomolar level of 1.6 × 10-6 attomole/μL and is at least 10 times more sensitive than the currently available methods. This label-free sensing technology holds great promise to open up a new avenue for ultrasensitive, highly specific, rapid, and cost-effective point-of-care diagnostics of plant, animal, human, and foodborne pathogens.
Collapse
Affiliation(s)
- Subin Mao
- Electrical and Computer Engineering Department, Iowa State University, Ames, Iowa 50011, United States
| | - Jinping Zhao
- Texas A&M AgriLife Research Center at Dallas, Texas A&M University System, Dallas, Texas 75252, United States
| | - Xiaoke Ding
- Electrical and Computer Engineering Department, Iowa State University, Ames, Iowa 50011, United States
| | - Van Anh Vuong
- Texas A&M AgriLife Research Center at Dallas, Texas A&M University System, Dallas, Texas 75252, United States
| | - Junqi Song
- Texas A&M AgriLife Research Center at Dallas, Texas A&M University System, Dallas, Texas 75252, United States
- Department of Plant Pathology & Microbiology, Texas A&M University, College Station, Texas 77843, United States
| | - Long Que
- Electrical and Computer Engineering Department, Iowa State University, Ames, Iowa 50011, United States
| |
Collapse
|
12
|
Biosensor integrated brain-on-a-chip platforms: Progress and prospects in clinical translation. Biosens Bioelectron 2023; 225:115100. [PMID: 36709589 DOI: 10.1016/j.bios.2023.115100] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 01/07/2023] [Accepted: 01/22/2023] [Indexed: 01/26/2023]
Abstract
Because of the brain's complexity, developing effective treatments for neurological disorders is a formidable challenge. Research efforts to this end are advancing as in vitro systems have reached the point that they can imitate critical components of the brain's structure and function. Brain-on-a-chip (BoC) was first used for microfluidics-based systems with small synthetic tissues but has expanded recently to include in vitro simulation of the central nervous system (CNS). Defining the system's qualifying parameters may improve the BoC for the next generation of in vitro platforms. These parameters show how well a given platform solves the problems unique to in vitro CNS modeling (like recreating the brain's microenvironment and including essential parts like the blood-brain barrier (BBB)) and how much more value it offers than traditional cell culture systems. This review provides an overview of the practical concerns of creating and deploying BoC systems and elaborates on how these technologies might be used. Not only how advanced biosensing technologies could be integrated with BoC system but also how novel approaches will automate assays and improve point-of-care (PoC) diagnostics and accurate quantitative analyses are discussed. Key challenges providing opportunities for clinical translation of BoC in neurodegenerative disorders are also addressed.
Collapse
|
13
|
Chen JB, Chang CC, Moi SH, Li LC. A Profile of Nanoparticle-Based Plasma Neurodegenerative Biomarkers for Cognitive Function Among Patients Undergoing Hemodialysis. Int J Gen Med 2022; 15:6115-6125. [PMID: 35846795 PMCID: PMC9286482 DOI: 10.2147/ijgm.s368987] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 07/05/2022] [Indexed: 01/20/2023] Open
Abstract
Purpose This study aimed to compare the plasma levels of nanoparticle-based neurodegenerative biomarkers between hemodialysis (HD) participants with grossly normal cognitive function and healthy controls. Patients and Methods A cohort of participants undergoing maintenance HD and healthy controls were enrolled for comparison between July and October 2021. The immunomagnetic reduction method was used to measure plasma neurodegenerative biomarkers Aβ1-40, Aβ1-42, tau protein, and neurofilament light chain (NfL). The clinical dementia rating (CDR) was used to evaluate cognitive function. A receiver operating characteristic curve was used to discriminate between HD participants and healthy controls. Results There were 52 and 18 participants in the HD and healthy control groups, respectively. The mean age of the HD participants was 62 years, and that of the healthy controls was 57 years. The mean HD vintage in the HD cohort was 11.8 years. HD participants demonstrated significantly higher plasma levels of Aβ1-42, tau protein, Aβ1-42 × tau, and NfL and Aβ1-42/Aβ1-40 ratio and significantly lower plasma Aβ1-40 levels than healthy controls. The measured plasma biomarkers could not discriminate between CDR0 and CDR0.5 HD participants. The area under the curve of the study biomarkers to discriminate HD participants from healthy controls ranged from 0.987 (Aβ1-42 × tau) to 0.889 (NfL). Conclusion The plasma levels of nanoparticle-based neurodegenerative biomarkers were higher in HD participants with grossly normal cognitive function than in healthy controls. These findings imply that neurodegenerative changes appear in HD participants. A profile of plasma neurodegenerative biomarkers could be considered a potential surrogate for evaluating long-term cognitive function in HD participants.
Collapse
Affiliation(s)
- Jin-Bor Chen
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and School of Medicine, Kaohsiung, 833, Taiwan, Republic of China.,College of Medicine, Chang Gung University, Taoyuan, 330, Taiwan, Republic of China
| | - Chiung-Chih Chang
- College of Medicine, Chang Gung University, Taoyuan, 330, Taiwan, Republic of China.,Department of Neurology, Kaohsiung Chang Gung Memorial Hospital and School of Medicine, Kaohsiung, 833, Taiwan, Republic of China
| | - Sin-Hua Moi
- Center of Cancer Program Development, E-Da Cancer Hospital, I-Shou University, Kaohsiung, 833, Taiwan, Republic of China
| | - Lung-Chih Li
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and School of Medicine, Kaohsiung, 833, Taiwan, Republic of China.,College of Medicine, Chang Gung University, Taoyuan, 330, Taiwan, Republic of China
| |
Collapse
|
14
|
Goldoni R, Dolci C, Boccalari E, Inchingolo F, Paghi A, Strambini L, Galimberti D, Tartaglia GM. Salivary biomarkers of neurodegenerative and demyelinating diseases and biosensors for their detection. Ageing Res Rev 2022; 76:101587. [PMID: 35151849 DOI: 10.1016/j.arr.2022.101587] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 10/11/2021] [Accepted: 02/07/2022] [Indexed: 01/08/2023]
Abstract
Salivary analysis is gaining increasing interest as a novel and promising field of research for the diagnosis of neurodegenerative and demyelinating diseases related to aging. The collection of saliva offers several advantages, being noninvasive, stress-free, and repeatable. Moreover, the detection of biomarkers directly in saliva could allow an early diagnosis of the disease, leading to timely treatments. The aim of this manuscript is to highlight the most relevant researchers' findings relatively to salivary biomarkers of neurodegenerative and demyelinating diseases, and to describe innovative and advanced biosensing strategies for the detection of salivary biomarkers. This review is focused on five relevant aging-related neurodegenerative disorders (Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis, Huntington's disease, Multiple Sclerosis) and the salivary biomarkers most commonly associated with them. Advanced biosensors enabling molecular diagnostics for the detection of salivary biomarkers are presented, in order to stimulate future research in this direction and pave the way for their clinical application.
Collapse
Affiliation(s)
- Riccardo Goldoni
- Department of Biomedical, Surgical and Dental Sciences, School of Dentistry, University of Milan, Italy
| | - Carolina Dolci
- Department of Biomedical, Surgical and Dental Sciences, School of Dentistry, University of Milan, Italy
| | - Elisa Boccalari
- Department of Biomedical, Surgical and Dental Sciences, School of Dentistry, University of Milan, Italy
| | - Francesco Inchingolo
- Department of Interdisciplinary Medicine, University of Medicine Aldo Moro, 70124 Bari, Italy
| | - Alessandro Paghi
- Dipartimento di Ingegneria dell'Informazione, Università di Pisa, Via G. Caruso 16, Pisa, Italy
| | - Lucanos Strambini
- Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni, Consiglio Nazionale delle Ricerche, Via G. Caruso 16, Pisa, Italy
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental Sciences, School of Dentistry, University of Milan, Italy; Neurodegenerative Diseases Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Gianluca Martino Tartaglia
- Department of Biomedical, Surgical and Dental Sciences, School of Dentistry, University of Milan, Italy; UOC Maxillo-Facial Surgery and Dentistry, Fondazione IRCCS Ca Granda, Ospedale Maggiore Policlinico, 20100 Milan, Italy.
| |
Collapse
|
15
|
Sensing Alzheimer’s Disease Utilizing Au Electrode by Controlling Nanorestructuring. CHEMOSENSORS 2022. [DOI: 10.3390/chemosensors10030094] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
This paper reports the development of Alzheimer’s disease (AD) sensor through early detection of amyloid-beta (Aβ) (1–42) using simple nanorestructuring of Au sheet plate by oxidation-reduction cycle (ORC) via the electrochemical system. The topology of Au substrates was enhanced through the roughening and Au grains grown by a simple ORC technique in aqueous solutions containing 0.1 mol/L KCl electrolytes. The roughened substrate was then functionalized with the highly specific antibody β-amyloid Aβ (1–28) through HS-PEG-NHS modification, which enabled effective and direct detection of Aβ (1–42) peptide. The efficacy of the ORC method had been exhibited in the polished Au surface by approximately 15% larger electro-active sites compared to the polished Au without ORC. The ORC polished structure demonstrated a rapid, accurate, precise, reproducible, and highly sensitive detection of Aβ (1–42) peptide with a low detection limit of 10.4 fg/mL and a wide linear range of 10−2 to 106 pg/mL. The proposed structure had been proven to have potential as an early-stage Alzheimer’s disease (AD) detection platform with low-cost fabrication and ease of operation.
Collapse
|
16
|
Karaboğa MNS, Sezgintürk MK. Biosensor approaches on the diagnosis of neurodegenerative diseases: Sensing the past to the future. J Pharm Biomed Anal 2022; 209:114479. [PMID: 34861607 DOI: 10.1016/j.jpba.2021.114479] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 11/05/2021] [Accepted: 11/14/2021] [Indexed: 12/12/2022]
Abstract
Early diagnosis of neurodegeneration-oriented diseases that develop with the aging world is essential for improving the patient's living conditions as well as the treatment of the disease. Alzheimer's and Parkinson's diseases are prominent examples of neurodegeneration characterized by dementia leading to the death of nerve cells. The clinical diagnosis of these diseases only after the symptoms appear, delays the treatment process. Detection of biomarkers, which are distinctive molecules in biological fluids, involved in neurodegeneration processes, has the potential to allow early diagnosis of neurodegenerative diseases. Studies on biosensors, whose main responsibility is to detect the target analyte with high specificity, has gained momentum in recent years with the aim of high detection of potential biomarkers of neurodegeneration process. This study aims to provide an overview of neuro-biosensors developed on the basis of biomarkers identified in biological fluids for the diagnosis of neurodegenerative diseases such as Alzheimer's disease (AD), and Parkinson's disease (PD), and to provide an overview of the urgent needs in this field, emphasizing the importance of early diagnosis in the general lines of the neurodegeneration pathway. In this review, biosensor systems developed for the detection of biomarkers of neurodegenerative diseases, especially in the last 5 years, are discussed.
Collapse
|
17
|
Liu X, Guo J, Li Y, Wang B, Yang S, Chen W, Wu X, Guo J, Ma X. SERS substrate fabrication for biochemical sensing: towards point-of-care diagnostics. J Mater Chem B 2021; 9:8378-8388. [PMID: 34505606 DOI: 10.1039/d1tb01299a] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Rapid technology development and economic growth have brought attention to public health issues, such as food safety and environmental pollution, which creates an ever-increasing demand for fast and portable sensing technologies. Portable surface-enhanced Raman spectroscopy (SERS) capable of various analyte detection with low concentration in a convenient manner shows advantages in sensing technology including enhanced diagnostic precision, improved diagnostic efficiency, reduced diagnostic cost, and alleviation of patient pain, which emerges as a promising candidate for point-of-care testing (POCT). SERS detection technology based on different nanostructures made of noble metal-based nanomaterials can increase the sensitivity of Raman scattering by 6-8 orders of magnitude, making Raman based trace detection possible, and greatly promote the application scenarios of portable Raman spectrometers. In this perspective, we provide an overview of fundamental knowledge about the SERS mechanism including chemical and electromagnetic field enhancement mechanisms, the design and fabrication of SERS substrates based on materials, progress of using SERS for POCT in biochemical sensing and its clinical applications. Furthermore, we present the prospective of developing new nanomaterials with different functionalities for advanced SERS substrates, as well as the future advancement of biomedical sensing and clinical potential of SERS technology.
Collapse
Affiliation(s)
- Xiaojia Liu
- Sauvage Laboratory for Smart Materials, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China. .,Shenzhen Bay Laboratory, No. 9 Duxue Road, Shenzhen 518055, China
| | - Jiuchuan Guo
- School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.
| | - Yang Li
- School of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
| | - Bo Wang
- School of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
| | - Shikun Yang
- Sauvage Laboratory for Smart Materials, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China. .,Shenzhen Bay Laboratory, No. 9 Duxue Road, Shenzhen 518055, China
| | - Wenjun Chen
- Sauvage Laboratory for Smart Materials, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China. .,Shenzhen Bay Laboratory, No. 9 Duxue Road, Shenzhen 518055, China
| | - Xinggui Wu
- CloudMinds, Inc., Shenzhen Bay Science and Technology Ecological Park, Nanshan District, Shenzhen 100022, China.
| | - Jinhong Guo
- School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.
| | - Xing Ma
- Sauvage Laboratory for Smart Materials, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China. .,Shenzhen Bay Laboratory, No. 9 Duxue Road, Shenzhen 518055, China
| |
Collapse
|
18
|
Design of an Innovative Methodology for Cerebrospinal Fluid Analysis: Preliminary Results. SENSORS 2021; 21:s21113767. [PMID: 34071694 PMCID: PMC8198196 DOI: 10.3390/s21113767] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 05/25/2021] [Accepted: 05/27/2021] [Indexed: 11/17/2022]
Abstract
Cerebrospinal fluid (CSF) analysis supports diagnosis of neurodegenerative diseases (NDs), however a number of issues limits its potentialities in clinical practice. Here, a newly developed technique for fluid voltammetry, relying on a simple sensor (BIOsensor-based multisensorial system for mimicking Nose, Tongue and Eyes, BIONOTE), was used to test the applicability for CSF analysis. BIONOTE was initially calibrated on an artificial CSF-like solution and then applied on human CSF, either immediately after collection or after refrigerated storage. Following optimization, it was used to evaluate 11 CSF samples correlating the electrochemical dataset with CSF routine parameters and biomarkers of neurodegeneration. Multivariate data analysis was performed for model elaboration and calibration using principal component analysis and partial least squares discriminant analysis. BIONOTE presented a high capacity to predict both physiological and pathological constituents of artificial CSF. It differentiated distinct fresh human CSF samples well but lost accuracy after refrigerated storage. The electrochemical analysis-derived data correlated with either CSF routine cytochemical indexes or a biomarker of neurodegeneration. BIONOTE resulted as being a reliable system for electrochemical analysis of CSF. The CSF fingerprint provided by the sensor has shown itself to be sensitive to CSF modification, thus it is potentially representative of CSF alteration. This result opens the way to its testing in further study addressed at assessing the clinical relevance of the methodology. Because of its advantages due to the ease and rapidity of the methodology, a validation study is now required to translate the technique into clinical practice and improve diagnostic workup of NDs.
Collapse
|
19
|
Kasturi S, Torati SR, Eom Y, Kim C. Microvalve-controlled miniaturized electrochemical lab-on-a-chip based biosensor for the detection of β-amyloid biomarker. J IND ENG CHEM 2021. [DOI: 10.1016/j.jiec.2021.02.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
|
20
|
Sung WH, Tsao YT, Shen CJ, Tsai CY, Cheng CM. Small-volume detection: platform developments for clinically-relevant applications. J Nanobiotechnology 2021; 19:114. [PMID: 33882955 PMCID: PMC8058587 DOI: 10.1186/s12951-021-00852-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 04/07/2021] [Indexed: 12/16/2022] Open
Abstract
Biochemical analysis of human body fluids is a frequent and fruitful strategy for disease diagnosis. Point-of-care (POC) diagnostics offers the tantalizing possibility of providing rapid diagnostic results in non-laboratory settings. Successful diagnostic testing using body fluids has been reported on in the literature; however, small-volume detection devices, which offer remarkable advantages such as portability, inexpensiveness, capacity for mass production, and tiny sample volume requirements have not been thoroughly discussed. Here, we review progress in this research field, with a focus on developments since 2015. In this review article, we provide a summary of articles that have detailed the development of small-volume detection strategies using clinical samples over the course of the last 5 years. Topics covered include small-volume detection strategies in ophthalmology, dermatology or plastic surgery, otolaryngology, and cerebrospinal fluid analysis. In ophthalmology, advances in technology could be applied to examine tear or anterior chamber (AC) fluid for glucose, lactoferrin, interferon, or VEGF. These approaches could impact detection and care for diseases including diabetic mellitus, dry-eye disease, and age-related maculopathy. Early detection and easy monitoring are critical approaches for improving overall care and outcome. In dermatology or plastic surgery, small-volume detection strategies have been applied for passive or interactive wound dressing, wound healing monitoring, and blister fluid analysis for autoimmune disease diagnosis. In otolaryngology, the analysis of nasal secretions and mucosa could be used to differentiate between allergic responses and infectious diseases. Cerebrospinal fluid analysis could be applied in neurodegenerative diseases, central neural system infection and tumor diagnosis. Other small-volume fluids that have been analyzed for diagnostic and monitoring purposes include semen and cervico-vaginal fluids. We include more details regarding each of these fluids, associated collection and detection devices, and approaches in our review.
Collapse
Affiliation(s)
- Wei-Hsuan Sung
- Chang Gung Memorial Hospital, Linkou Medical Center and Chang Gung Medical College and Chang Gung University, Taoyuan, Taiwan
| | - Yu-Ting Tsao
- Chang Gung Memorial Hospital, Linkou Medical Center and Chang Gung Medical College and Chang Gung University, Taoyuan, Taiwan
| | - Ching-Ju Shen
- Department of Obstetrics and Gynecology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Chia-Ying Tsai
- Department of Ophthalmology, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan.
- School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
| | - Chao-Min Cheng
- Institute of Biomedical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
| |
Collapse
|
21
|
Phan LMT, Hoang TX, Vo TAT, Pham HL, Le HTN, Chinnadayyala SR, Kim JY, Lee SM, Cho WW, Kim YH, Choi SH, Cho S. Nanomaterial-based Optical and Electrochemical Biosensors for Amyloid beta and Tau: Potential for early diagnosis of Alzheimer's Disease. Expert Rev Mol Diagn 2021; 21:175-193. [PMID: 33560154 DOI: 10.1080/14737159.2021.1887732] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
INTRODUCTION Alzheimer's disease (AD), a heterogeneous pathological process representing the most common causes of dementia worldwide, has required early and accurate diagnostic tools. Neuropathological hallmarks of AD involve the aberrant accumulation of Amyloid beta (Aβ) into Amyloid plaques and hyperphosphorylated Tau into neurofibrillary tangles, occurring long before the onset of brain dysfunction.Areas covered:Considering the significance of Aβ and Tau in AD pathogenesis, these proteins have been adopted as core biomarkers of AD, and their quantification has provided precise diagnostic information to develop next-generation AD therapeutic approaches. However, conventional diagnostic methods may not suffice to achieve clinical criteria that are acceptable for proper diagnosis and treatment. The advantages of nanomaterial-based biosensors including facile miniaturization, mass fabrication, ultra-sensitivity, make them useful to be promising tools to measure Aβ and Tau simultaneously for accurate validation of low-abundance yet potentially informative biomarkers of AD.. EXPERT OPINION The study has identified the potential application of advanced biosensors as standardized clinical diagnostic tools for AD, evolving the way for new and efficient AD control with minimum economic and social burden. After clinical trial, nanobiosensors for measuring Aβ and Tau simultaneously possess innovative diagnosis of AD to provide significant contributions to primary Alzheimer's care intervention.
Collapse
Affiliation(s)
- Le Minh Tu Phan
- Department of Electronic Engineering, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea.,School of Medicine and Pharmacy, The University of Danang, Danang, Vietnam
| | - Thi Xoan Hoang
- Department of Life Science, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Thuy Anh Thu Vo
- Department of Life Science, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Hoang Lan Pham
- Department of Life Science, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Hien T Ngoc Le
- Department of Electronic Engineering, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | | | - Jae Young Kim
- Department of Life Science, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | | | - Won Woo Cho
- Cantis Inc., Ansan-si, Gyeonggi-do, Republic of Korea
| | - Young Hyo Kim
- Department of Otorhinolaryngology-Head and Neck Surgery, School of Medicine, Inha University, Incheon, Republic of Korea
| | - Seong Hye Choi
- Department of Neurology, School of Medicine, Inha University, Incheon, Republic of Korea
| | - Sungbo Cho
- Department of Electronic Engineering, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea.,Department of Health Sciences and Technology, GAIHST, Gachon University, Incheon, Republic of Korea
| |
Collapse
|
22
|
Xu Y, Zhao M, Zhou D, Zheng T, Zhang H. The application of multifunctional nanomaterials in Alzheimer's disease: A potential theranostics strategy. Biomed Pharmacother 2021; 137:111360. [PMID: 33582451 DOI: 10.1016/j.biopha.2021.111360] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 01/13/2021] [Accepted: 02/02/2021] [Indexed: 12/15/2022] Open
Abstract
By virtue of their small size, nanomaterials can cross the blood-brain barrier and, when modified to target specific cells or regions, can achieve high bioavailability at the intended site of action. Modified nanomaterials are therefore promising agents for the diagnosis and treatment of neurodegenerative diseases such as Alzheimer's disease (AD). Here we review the roles and mechanisms of action of nanomaterials in AD. First, we discuss the general characteristics of nanomaterials and their application to nanomedicine. Then, we summarize recent studies on the diagnosis and treatment of AD using modified nanomaterials. These studies indicate that using nanomaterials is a potential strategy for AD treatment by slowing the progression of AD through enhanced therapeutic effects.
Collapse
Affiliation(s)
- Yilan Xu
- Neurodegeneration and Neuroregeneration Laboratory, Department of Basic Medicine, School of Medicine, Shaoxing University, Shaoxing 312000, Zhejiang, China
| | - Manna Zhao
- Neurodegeneration and Neuroregeneration Laboratory, Department of Basic Medicine, School of Medicine, Shaoxing University, Shaoxing 312000, Zhejiang, China
| | - Dongming Zhou
- Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Tingting Zheng
- Department of Neurology, The First Affiliated Hospital of ZheJiang Chinese Medical University, Zhejiang Provincial Hospital of TCM, Hangzhou 310058, Zhejiang, China
| | - Heng Zhang
- Neurodegeneration and Neuroregeneration Laboratory, Department of Basic Medicine, School of Medicine, Shaoxing University, Shaoxing 312000, Zhejiang, China.
| |
Collapse
|
23
|
Chircov C, Bîrcă AC, Grumezescu AM, Andronescu E. Biosensors-on-Chip: An Up-to-Date Review. Molecules 2020; 25:E6013. [PMID: 33353220 PMCID: PMC7765790 DOI: 10.3390/molecules25246013] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 12/15/2020] [Accepted: 12/16/2020] [Indexed: 12/13/2022] Open
Abstract
Generally, biosensors are designed to translate physical, chemical, or biological events into measurable signals, thus offering qualitative and/or quantitative information regarding the target analytes. While the biosensor field has received considerable scientific interest, integrating this technology with microfluidics could further bring significant improvements in terms of sensitivity and specificity, resolution, automation, throughput, reproducibility, reliability, and accuracy. In this manner, biosensors-on-chip (BoC) could represent the bridging gap between diagnostics in central laboratories and diagnostics at the patient bedside, bringing substantial advancements in point-of-care (PoC) diagnostic applications. In this context, the aim of this manuscript is to provide an up-to-date overview of BoC system development and their most recent application towards the diagnosis of cancer, infectious diseases, and neurodegenerative disorders.
Collapse
Affiliation(s)
- Cristina Chircov
- Department of Science and Engineering of Oxide Materials and Nanomaterials, University Politehnica of Bucharest, 011061 Bucharest, Romania; (C.C.); (A.C.B.); (E.A.)
| | - Alexandra Cătălina Bîrcă
- Department of Science and Engineering of Oxide Materials and Nanomaterials, University Politehnica of Bucharest, 011061 Bucharest, Romania; (C.C.); (A.C.B.); (E.A.)
| | - Alexandru Mihai Grumezescu
- Department of Science and Engineering of Oxide Materials and Nanomaterials, University Politehnica of Bucharest, 011061 Bucharest, Romania; (C.C.); (A.C.B.); (E.A.)
- Research Institute of the University of Bucharest—ICUB, University of Bucharest, 050657 Bucharest, Romania
| | - Ecaterina Andronescu
- Department of Science and Engineering of Oxide Materials and Nanomaterials, University Politehnica of Bucharest, 011061 Bucharest, Romania; (C.C.); (A.C.B.); (E.A.)
| |
Collapse
|
24
|
Rho D, Breaux C, Kim S. Label-Free Optical Resonator-Based Biosensors. SENSORS 2020; 20:s20205901. [PMID: 33086566 PMCID: PMC7589515 DOI: 10.3390/s20205901] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 10/12/2020] [Accepted: 10/14/2020] [Indexed: 12/11/2022]
Abstract
The demand for biosensor technology has grown drastically over the last few decades, mainly in disease diagnosis, drug development, and environmental health and safety. Optical resonator-based biosensors have been widely exploited to achieve highly sensitive, rapid, and label-free detection of biological analytes. The advancements in microfluidic and micro/nanofabrication technologies allow them to be miniaturized and simultaneously detect various analytes in a small sample volume. By virtue of these advantages and advancements, the optical resonator-based biosensor is considered a promising platform not only for general medical diagnostics but also for point-of-care applications. This review aims to provide an overview of recent progresses in label-free optical resonator-based biosensors published mostly over the last 5 years. We categorized them into Fabry-Perot interferometer-based and whispering gallery mode-based biosensors. The principles behind each biosensor are concisely introduced, and recent progresses in configurations, materials, test setup, and light confinement methods are described. Finally, the current challenges and future research topics of the optical resonator-based biosensor are discussed.
Collapse
|
25
|
García-Chamé MÁ, Gutiérrez-Sanz Ó, Ercan-Herbst E, Haustein N, Filipiak MS, Ehrnhöfer DE, Tarasov A. A transistor-based label-free immunosensor for rapid detection of tau protein. Biosens Bioelectron 2020; 159:112129. [DOI: 10.1016/j.bios.2020.112129] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 02/05/2020] [Accepted: 02/28/2020] [Indexed: 12/19/2022]
|
26
|
On-Chip Detection of the Biomarkers for Neurodegenerative Diseases: Technologies and Prospects. MICROMACHINES 2020; 11:mi11070629. [PMID: 32605280 PMCID: PMC7407176 DOI: 10.3390/mi11070629] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 06/23/2020] [Accepted: 06/23/2020] [Indexed: 12/17/2022]
Abstract
Alzheimer's disease (AD), Parkinson's disease (PD) and glaucoma are all regarded as neurodegenerative diseases (neuro-DDs) because these diseases are highly related to the degeneration loss of functions and death of neurons with aging. The conventional diagnostic methods such as neuroimaging for these diseases are not only expensive but also time-consuming, resulting in significant financial burdens for patients and public health challenge for nations around the world. Hence early detection of neuro-DDs in a cost-effective and rapid manner is critically needed. For the past decades, some chip-based detection technologies have been developed to address this challenge, showing great potential in achieving point-of-care (POC) diagnostics of neuro-DDs. In this review, chip-based detection of neuro-DDs' biomarkers enabled by different transducing mechanisms is evaluated.
Collapse
|
27
|
Kim S, Torati SR, Talantsev A, Jeon C, Lee S, Kim C. Performance Validation of a Planar Hall Resistance Biosensor through Beta-Amyloid Biomarker. SENSORS (BASEL, SWITZERLAND) 2020; 20:E434. [PMID: 31941023 PMCID: PMC7014076 DOI: 10.3390/s20020434] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2019] [Revised: 01/10/2020] [Accepted: 01/10/2020] [Indexed: 12/19/2022]
Abstract
Magnetic sensors have great potential for biomedical applications, particularly, detection of magnetically-labeled biomolecules and cells. On the basis of the advantage of the planar Hall effect sensor, which consists of improved thermal stability as compared with other magnetic sensors, we have designed a portable biosensor platform that can detect magnetic labels without applying any external magnetic field. The trilayer sensor, with a composition of Ta (5 nm)/NiFe (10 nm)/Cu (x = 0 nm~1.2 nm)/IrMn (10 nm)/Ta (5 nm), was deposited on a silicon wafer using photolithography and a sputtering system, where the optimized sensor sensitivity was 6 μV/(Oe∙mA). The detection of the magnetic label was done by comparing the signals obtained in first harmonic AC mode (1f mode) using an external magnetic field and in the second harmonic AC mode (2f mode) with a self-field generated by current passing through the sensor. In addition, a technique for the β-amyloid biomarker-based antibody-antigen sandwich model was demonstrated for the detection of a series of concentrations of magnetic labels using the self-field mode method, where the signal-to-noise ratio (SNR) was high. The generated self-field was enough to detect an immobilized magnetic tag without an additional external magnetic field. Hence, it could be possible to reduce the device size to use the point-of-care testing using a portable circuit system.
Collapse
Affiliation(s)
- SungJoon Kim
- Department of Emerging Material Science, DGIST, Daegu 42988, Korea; (S.K.); (A.T.); (C.J.)
| | - Sri Ramulu Torati
- Department of Emerging Material Science, DGIST, Daegu 42988, Korea; (S.K.); (A.T.); (C.J.)
| | - Artem Talantsev
- Department of Emerging Material Science, DGIST, Daegu 42988, Korea; (S.K.); (A.T.); (C.J.)
| | - ChangYeop Jeon
- Department of Emerging Material Science, DGIST, Daegu 42988, Korea; (S.K.); (A.T.); (C.J.)
| | - SungBae Lee
- Department of Brain & Cognitive Science, DGIST, Daegu 42988, Korea;
| | - CheolGi Kim
- Department of Emerging Material Science, DGIST, Daegu 42988, Korea; (S.K.); (A.T.); (C.J.)
| |
Collapse
|
28
|
Huang L, Tian S, Zhao W, Liu K, Ma X, Guo J. Multiplexed detection of biomarkers in lateral-flow immunoassays. Analyst 2020; 145:2828-2840. [DOI: 10.1039/c9an02485a] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Multiplexed detection of biomarkers, i.e., simultaneous detection of multiple biomarkers in a single assay, can enhance diagnostic precision, improve diagnostic efficiency, reduce diagnostic cost, and alleviate pain of patients.
Collapse
Affiliation(s)
- Lei Huang
- School of Automation Engineering
- University of Electronic Science and Technology of China
- Chengdu 611731
- P. R. China
| | - Shulin Tian
- School of Automation Engineering
- University of Electronic Science and Technology of China
- Chengdu 611731
- P. R. China
| | - Wenhao Zhao
- School of Automation Engineering
- University of Electronic Science and Technology of China
- Chengdu 611731
- P. R. China
| | - Ke Liu
- School of Automation Engineering
- University of Electronic Science and Technology of China
- Chengdu 611731
- P. R. China
| | - Xing Ma
- State Key Lab of Advanced Welding and Joining
- Harbin Institute of Technology (Shenzhen)
- Shenzhen 518055
- China
- Ministry of Education Key Lab of Micro-systems and Micro-structures Manufacturing
| | - Jinhong Guo
- School of Communication and Information Engineering
- University of Electronic Science and Technology of China
- Chengdu 611731
- P. R. China
| |
Collapse
|
29
|
Lenhart B, Wei X, Zhang Z, Wang X, Wang Q, Liu C. Nanopore Fabrication and Application as Biosensors in Neurodegenerative Diseases. Crit Rev Biomed Eng 2020; 48:29-62. [PMID: 32749118 PMCID: PMC8020784 DOI: 10.1615/critrevbiomedeng.2020033151] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Since its conception as an applied biomedical technology nearly 30 years ago, nanopore is emerging as a promising, high-throughput, biomarker-targeted diagnostic tool for clinicians. The attraction of a nanopore-based detection system is its simple, inexpensive, robust, user-friendly, high-throughput blueprint with minimal sample preparation needed prior to analysis. The goal of clinical-based nanopore biosensing is to go from sample acquisition to a meaningful readout quickly. The most extensive work in nanopore applications has been targeted at DNA, RNA, and peptide identification. Although, biosensing of pathological biomarkers, which is covered in this review, is on the rise. This review is broken into two major sections: (i) the current state of existing biological, solid state, and hybrid nanopore systems and (ii) the applications of nanopore biosensors toward detecting neurodegenerative biomarkers.
Collapse
Affiliation(s)
- Brian Lenhart
- Department of Chemical Engineering, University of South Carolina, Columbia, SC
| | - Xiaojun Wei
- Department of Chemical Engineering, University of South Carolina, Columbia, SC
- Biomedical Engineering Program, University of South Carolina, Columbia, SC
| | - Zehui Zhang
- Biomedical Engineering Program, University of South Carolina, Columbia, SC
| | - Xiaoqin Wang
- Department of Chemical Engineering, University of South Carolina, Columbia, SC
| | - Qian Wang
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC
| | - Chang Liu
- Department of Chemical Engineering, University of South Carolina, Columbia, SC
- Biomedical Engineering Program, University of South Carolina, Columbia, SC
| |
Collapse
|
30
|
Chan HN, Xu D, Ho SL, He D, Wong MS, Li HW. Highly sensitive quantification of Alzheimer's disease biomarkers by aptamer-assisted amplification. Am J Cancer Res 2019; 9:2939-2949. [PMID: 31244934 PMCID: PMC6568170 DOI: 10.7150/thno.29232] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 10/26/2018] [Indexed: 01/21/2023] Open
Abstract
Alzheimer's disease (AD), a chronic neurodegenerative disease associated with the loss of neurons in the brain, is the most pervasive type of dementia; 47 million people are affected, and the number is expected to increase to more than 131 million by 2050, according to Alzheimer's Disease International. Both early diagnosis and continuous monitoring are crucial for early intervention, symptomatic treatment, monitoring of the efficacy of intervention and improved patient function. Beta-amyloid peptide, tau, and phosphorylated tau are useful for screening and diagnosis; meanwhile, simultaneous assessment of multiple biomarkers is of paramount importance for accurate disease diagnosis. Methods: Herein, we report a direct, inexpensive and ultrasensitive aptamer-based multiplex assay for the quantification of trace amounts of AD biomarkers in both human serum and cerebrospinal fluid (CSF) samples. In this newly developed assay, molecular recognition of an antibody-aptamer pair provides high specificity in target detection, and the use of a DNA amplification strategy affords high sensitivity, allowing quantification of AD biomarkers in both biological fluids in 1.5 h with only a diminutive amount of the sample consumed. A tailor-made turn-on fluorophore, namely, SPOH, was employed to label the antibody-aptamer hybrids and provide a strong fluorescence signal, which was then detected with a total internal reflection fluorescence microscopy electron-multiplying charge-coupled device (TIRFM-EMCCD) imaging system. The simultaneous detection of biomarkers was achieved by a direct shape-coded method in which the nanoplatforms can be distinguished from one another by their morphologies. Results: This assay demonstrated a lower detection limit (in the femtomolar range) for AD biomarkers than the previously reported antibody-antibody method. Conclusion: The developed assay holds tremendous clinical potential for early diagnosis of AD and monitoring of its progression.
Collapse
|
31
|
Jing A, Zhang C, Liang G, Feng W, Tian Z, Jing C. Hyaluronate-Functionalized Graphene for Label-Free Electrochemical Cytosensing. MICROMACHINES 2018; 9:E669. [PMID: 30567299 PMCID: PMC6315524 DOI: 10.3390/mi9120669] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 12/12/2018] [Accepted: 12/15/2018] [Indexed: 12/15/2022]
Abstract
Electrochemical sensors for early tumor cell detection are currently an important area of research, as this special region directly improves the efficiency of cancer treatment. Functional graphene is a promising alternative for selective recognition and capture of target cancer cells. In our work, an effective cytosensor of hyaluronate-functionalized graphene (HG) was prepared through chemical reduction of graphene oxide. The as-prepared HG nanostructures were characterized with Fourier transform infrared spectroscopy and transmission electron microscopy coupled with cyclic voltammograms and electrochemical impedance spectroscopy, respectively. The self-assembly of HG with ethylene diamine, followed by sodium hyaluronate, enabled the fabrication of a label-free electrochemical impedance spectroscopy cytosensor with high stability and biocompatibility. Finally, the proposed cytosensor exhibited satisfying electrochemical behavior and cell-capture capacity for human colorectal cancer cells HCT-116, and also displayed a wide linear range, from 5.0 × 10² cells∙mL-1 to 5.0 × 10⁶ cells∙mL-1, and a low detection limit of 100 cells∙mL-1 (S/N = 3) for quantification. This work paves the way for graphene applications in electrochemical cytosensing and other bioassays.
Collapse
Affiliation(s)
- Aihua Jing
- School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang 471023, China.
| | - Chunxin Zhang
- School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang 471023, China.
| | - Gaofeng Liang
- Medical College, Henan University of Science and Technology, Luoyang 471023, China.
| | - Wenpo Feng
- School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang 471023, China.
| | - Zhengshan Tian
- School of Chemistry and Chemical Engineering, Pingdingshan University, Pingdingshan 467000, China.
| | - Chenhuan Jing
- Pingdingshan No. 1 Middle School, Pingdingshan 467000, China.
| |
Collapse
|