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Jiang W, Tang Q, Zhu Y, Gu X, Wu L, Qin Y. Research progress of microfluidics-based food safety detection. Food Chem 2024; 441:138319. [PMID: 38218144 DOI: 10.1016/j.foodchem.2023.138319] [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: 10/10/2023] [Revised: 12/17/2023] [Accepted: 12/27/2023] [Indexed: 01/15/2024]
Abstract
High demands for food safety detection and analysis have been advocated with people's increasing living standards. Even though numerous analytical testing techniques have been proposed, their widespread adoption is still constrained by the high limit of detection, narrow detection ranges, and high implementation costs. Due to their advantages, such as reduced sample and reagent consumption, high sensitivity, automation, low cost, and portability, using microfluidic devices for food safety monitoring has generated significant interest. This review provides a comprehensive overview of the latest microfluidic detection platforms (published in recent 4 years) and their applications in food safety, aiming to provide references for developing efficient research strategies for food contaminant detection and facilitating the transition of these platforms from laboratory research to practical field use.
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Affiliation(s)
- Wenjun Jiang
- Nantong Key Laboratory of Public Health and Medical Analysis, School of Public Health, Nantong University, Nantong, Jiangsu 226019, PR China
| | - Qu Tang
- Nantong Key Laboratory of Public Health and Medical Analysis, School of Public Health, Nantong University, Nantong, Jiangsu 226019, PR China
| | - Yidan Zhu
- Medical School, Nantong University, Nantong, Jiangsu 226001, PR China
| | - Xijuan Gu
- Nantong Key Laboratory of Public Health and Medical Analysis, School of Public Health, Nantong University, Nantong, Jiangsu 226019, PR China
| | - Li Wu
- Nantong Key Laboratory of Public Health and Medical Analysis, School of Public Health, Nantong University, Nantong, Jiangsu 226019, PR China; School of Life Science, Nantong University, Nantong, Jiangsu 226001, PR China.
| | - Yuling Qin
- Nantong Key Laboratory of Public Health and Medical Analysis, School of Public Health, Nantong University, Nantong, Jiangsu 226019, PR China.
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2
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Tekin YS, Kul SM, Sagdic O, Rodthongkum N, Geiss B, Ozer T. Optical biosensors for diagnosis of COVID-19: nanomaterial-enabled particle strategies for post pandemic era. Mikrochim Acta 2024; 191:320. [PMID: 38727849 PMCID: PMC11087243 DOI: 10.1007/s00604-024-06373-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 04/19/2024] [Indexed: 05/13/2024]
Abstract
The COVID-19 pandemic underlines the need for effective strategies for controlling virus spread and ensuring sensitive detection of SARS-CoV-2. This review presents the potential of nanomaterial-enabled optical biosensors for rapid and low-cost detection of SARS-CoV-2 biomarkers, demonstrating a comprehensive analysis including colorimetric, fluorescence, surface-enhanced Raman scattering, and surface plasmon resonance detection methods. Nanomaterials including metal-based nanomaterials, metal-organic frame-based nanoparticles, nanorods, nanoporous materials, nanoshell materials, and magnetic nanoparticles employed in the production of optical biosensors are presented in detail. This review also discusses the detection principles, fabrication methods, nanomaterial synthesis, and their applications for the detection of SARS-CoV-2 in four categories: antibody-based, antigen-based, nucleic acid-based, and aptamer-based biosensors. This critical review includes reports published in the literature between the years 2021 and 2024. In addition, the review offers critical insights into optical nanobiosensors for the diagnosis of COVID-19. The integration of artificial intelligence and machine learning technologies with optical nanomaterial-enabled biosensors is proposed to improve the efficiency of optical diagnostic systems for future pandemic scenarios.
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Affiliation(s)
- Yusuf Samil Tekin
- Department of Biomedical Engineering, Graduate Education Institute, Malatya Turgut Ozal University, 44210, Battalgazi, Malatya, Turkey
| | - Seyda Mihriban Kul
- Department of Food Engineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, 34220, Istanbul, Turkey
| | - Osman Sagdic
- Department of Food Engineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, 34220, Istanbul, Turkey
| | - Nadnudda Rodthongkum
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Bangkok, 10330, Patumwan, Thailand
| | - Brian Geiss
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, 80523-1019, USA.
| | - Tugba Ozer
- Department of Bioengineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, 34220, Istanbul, Turkey.
- Health Biotechnology Joint Research and Application Center of Excellence, Esenler, 34220, Istanbul, Turkey.
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3
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Wang Y, Wei W, Guan X, Yang Y, Tang B, Guo W, Sun C, Duan X. A Microflow Cytometer Enabled by Monolithic Integration of a Microreflector with an Acoustic Resonator. ACS Sens 2024; 9:1428-1437. [PMID: 38382073 DOI: 10.1021/acssensors.3c02530] [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: 02/23/2024]
Abstract
Current microflow cytometers suffer from complicated fluidic integration and low fluorescence collection efficiency, resulting in reduced portability and sensitivity. Herein, we demonstrated a new flow cell design based on an on-chip monolithically integrated microreflector with a bulk acoustic wave resonator (MBAW). It enables simultaneous 3D particle focusing and fluorescence enhancement without using shear flow. Benefited by the on-chip microreflector, the captured fluorescence intensity was 1.8-fold greater than that of the Si substrate and 8.3-fold greater than that of the SiO2 substrate, greatly improving the detection sensitivity. Combined with the contactless acoustic streaming-based focusing, particle sensing with a coefficient of variation as low as 6.1% was achieved. We also demonstrated the difference between live and dead cells and performed a cell cycle assay using the as-developed microflow cytometry. This monolithic integrated MBAW provides a new type of opto-acoustofluidic system and has the potential to be a highly integrated, highly sensitive flow cytometer for applications such as in vitro diagnostics and point of care.
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Affiliation(s)
- Yaping Wang
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Wei Wei
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Xieruiqi Guan
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Yang Yang
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Bingyi Tang
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Wenlan Guo
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Chen Sun
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Xuexin Duan
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
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4
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Li Y, Ren Y, Yi Z, Han S, Liu S, Long F, Zhu A. Detection of SARS-CoV-2 S protein based on FRET between carbon quantum dots and gold nanoparticles. Heliyon 2023; 9:e22674. [PMID: 38034625 PMCID: PMC10687278 DOI: 10.1016/j.heliyon.2023.e22674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 11/16/2023] [Accepted: 11/16/2023] [Indexed: 12/02/2023] Open
Abstract
The COVID-19 pandemic caused by SARS-CoV-2 virus brings nasty crisis for public health in the world. Until now, the virus has caused multiple infections in many people. Detecting antigen to SARS-CoV-2 is a powerful method for the diagnosis of COVID-19 and is helpful for controlling and stopping the pandemic. Herein, a rapid and quantitative detection method of SARS-CoV-2 spike(S) protein was built based on the fluorescence resonance energy transfer (FRET) phenomenon without complicated steps. In the process of detecting, the carbon quantum dots (CQDs) and gold nanoparticles (AuNPs) act as donor and acceptor. By modifying the SARS-CoV-2 antibodies on the surface of CQDs and AuNPs, we achieved S protein specific detection using the distance-based FRET phenomenon. Through the electric charge regulation, the limit of detection (LOD) is 0.05 ng/mL, the linear range is 0.1-100 ng/mL, and the detection process only takes 12 min. The proposed method exhibits several advantages such as be available for variants (B.1.1.529 and B.1.617.2) and be suitable for human serum, which is of significance for detecting viral in time and prevention the viral transmission.
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Affiliation(s)
- Yang Li
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Yashuang Ren
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Zhihao Yi
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Shitong Han
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Shilei Liu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Feng Long
- School of Environment and Natural Resources, Renmin University of China, Beijing, 100872, China
| | - Anna Zhu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
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Timpel J, Klinghammer S, Riemenschneider L, Ibarlucea B, Cuniberti G, Hannig C, Sterzenbach T. Sensors for in situ monitoring of oral and dental health parameters in saliva. Clin Oral Investig 2023; 27:5719-5736. [PMID: 37698630 PMCID: PMC10560166 DOI: 10.1007/s00784-023-05206-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 08/11/2023] [Indexed: 09/13/2023]
Abstract
OBJECTIVES The oral cavity is an easily accessible unique environment and open system which is influenced by the oral fluids, microbiota, and nutrition. Little is known about the kinetics and dynamics of metabolic processes at the intraoral surfaces. Real-time monitoring of salivary biomarkers, e.g., glucose, lactate, fluoride, calcium, phosphate, and pH with intraoral sensors is therefore of major interest. The aim of this review is to overview the existing literature for intraoral saliva sensors. MATERIALS AND METHODS A comprehensive literature search was performed to review the most relevant studies on intraoral saliva sensor technology. RESULTS There is limited literature about the in situ saliva monitoring of salivary biomarkers. Bioadhesion and biofouling processes at the intraoral surfaces limit the performances of the sensors. Real-time, long-term, and continuous intraoral measurement of salivary metabolites remains challenging and needs further investigation as only few well-functioning sensors have been developed until today. Until now, there is no sensor that measures reliably beyond hours for any analyte other than glucose. CONCLUSIONS Saliva's complex and dynamic structure as well as bioadhesion are key challenges and should be addressed in the future developments. Consequently, more studies that focus particularly on biofouling processes and interferential effects of the salivary matrix components on sensor surfaces are required. CLINICAL RELEVANCE By monitoring fluids in the oral cavity, as the entrance to the digestive system, extensive information can be obtained regarding the effects of foods and preventive agents on the oral microbiota and the tooth surfaces. This may lead to a better understanding of strategies to modulate oral and general health.
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Affiliation(s)
- Julia Timpel
- Clinic of Operative and Pediatric Dentistry, Medical Faculty Carl Gustav Carus, Dresden University of Technology, Fetscherstraße 74, 01307, Dresden, Germany.
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany.
| | - Stephanie Klinghammer
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany
- Institute for Materials Science and Max Bergmann Center for Biomaterials, Dresden University of Technology, 01069, Dresden, Germany
| | - Leif Riemenschneider
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany
- Institute for Materials Science and Max Bergmann Center for Biomaterials, Dresden University of Technology, 01069, Dresden, Germany
| | - Bergoi Ibarlucea
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany
- Institute for Materials Science and Max Bergmann Center for Biomaterials, Dresden University of Technology, 01069, Dresden, Germany
| | - Gianaurelio Cuniberti
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany
- Institute for Materials Science and Max Bergmann Center for Biomaterials, Dresden University of Technology, 01069, Dresden, Germany
| | - Christian Hannig
- Clinic of Operative and Pediatric Dentistry, Medical Faculty Carl Gustav Carus, Dresden University of Technology, Fetscherstraße 74, 01307, Dresden, Germany
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany
| | - Torsten Sterzenbach
- Clinic of Operative and Pediatric Dentistry, Medical Faculty Carl Gustav Carus, Dresden University of Technology, Fetscherstraße 74, 01307, Dresden, Germany
- Else Kröner-Fresenius Center for Digital Health (EKFZ), Dresden University of Technology, 01309, Dresden, Germany
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6
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Liu Y, Qin Z, Zhou J, Jia X, Li H, Wang X, Chen Y, Sun Z, He X, Li H, Wang G, Chang H. Nano-biosensor for SARS-CoV-2/COVID-19 detection: methods, mechanism and interface design. RSC Adv 2023; 13:17883-17906. [PMID: 37323463 PMCID: PMC10262965 DOI: 10.1039/d3ra02560h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 05/26/2023] [Indexed: 06/17/2023] Open
Abstract
The epidemic of coronavirus disease 2019 (COVID-19) was a huge disaster to human society. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which led to COVID-19, has resulted in a large number of deaths. Even though the reverse transcription-polymerase chain reaction (RT-PCR) is the most efficient method for the detection of SARS-CoV-2, the disadvantages (such as long detection time, professional operators, expensive instruments, and laboratory equipment) limit its application. In this review, the different kinds of nano-biosensors based on surface-enhanced Raman scattering (SERS), surface plasmon resonance (SPR), field-effect transistor (FET), fluorescence methods, and electrochemical methods are summarized, starting with a concise description of their sensing mechanism. The different bioprobes (such as ACE2, S protein-antibody, IgG antibody, IgM antibody, and SARS-CoV-2 DNA probes) with different bio-principles are introduced. The key structural components of the biosensors are briefly introduced to give readers an understanding of the principles behind the testing methods. In particular, SARS-CoV-2-related RNA mutation detection and its challenges are also briefly described. We hope that this review will encourage readers with different research backgrounds to design SARS-CoV-2 nano-biosensors with high selectivity and sensitivity.
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Affiliation(s)
- Yansheng Liu
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
| | - Zhenle Qin
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Jin Zhou
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiaobo Jia
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Hongli Li
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiaohong Wang
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Yating Chen
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Zijun Sun
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiong He
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Hongda Li
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
| | - Guofu Wang
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Haixin Chang
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
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7
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Hossain F, Shen Q, Balasuriya N, Law JLM, Logan M, Houghton M, Tyrrell DL, Joyce MA, Serpe MJ. Utilization of a Glucometer Test Strip and Enzymatic Reactions to Quantify Anti-SARS-CoV-2 Spike RBD IgG Antibody and SARS-CoV-2 Virus in Saliva and Serum. Anal Chem 2023; 95:7620-7629. [PMID: 37150898 PMCID: PMC10178784 DOI: 10.1021/acs.analchem.3c00481] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 04/25/2023] [Indexed: 05/09/2023]
Abstract
A sensor capable of quantifying both anti-SARS-CoV-2 spike receptor-binding domain (RBD) antibody levels and the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus in saliva and serum was developed. This was accomplished by exploiting the enzymatic reaction of maltose and orthophosphate (PO43-) in the presence of maltose phosphorylase to generate an equivalent amount of glucose that was detected using a commercial glucometer test strip and a potentiostat. Important for this approach is the ability to generate PO43- in an amount that is directly related to the concentration of the analytes. RBD-modified magnetic microparticles were used to capture anti-SARS-CoV-2 spike RBD antibodies, while particles modified with anti-SARS-CoV-2 nucleocapsid antibodies were used to capture SARS-CoV-2 nucleocapsid protein from inactivated virus samples. A magnet was used to isolate and purify the magnetic microparticles (with analyte attached), and alkaline phosphatase-conjugated secondary antibodies were bound to the analytes attached to the respective magnetic microparticles. Finally, through enzymatic reactions, specific amounts of PO43- (and subsequently glucose) were generated in proportion to the analyte concentration, which was then quantified using a commercial glucometer test strip. Utilizing glucose test strips makes the sensor relatively inexpensive, with a cost per test of ∼US $7 and ∼US $12 for quantifying anti-SARS-CoV-2 spike RBD antibody and SARS-CoV-2, respectively. Our sensor exhibited a limit of detection of 0.42 ng/mL for anti-SARS-CoV-2 spike RBD antibody, which is sensitive enough to quantify typical concentrations of antibodies in COVID-19-infected or vaccinated individuals (>1 μg/mL). The limit of detection for the SARS-CoV-2 virus is 300 pfu/mL (5.4 × 106 RNA copies/mL), which exceeds the performance recommended by the WHO (500 pfu/mL). In addition, the sensor exhibited good selectivity when challenged with competing analytes and could be used to quantify analytes in saliva and serum matrices with an accuracy of >94% compared to RT-qPCR.
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Affiliation(s)
- Faisal Hossain
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
- Department
of Chemistry, Faculty of Science, University
of Chittagong, Chattogram 4331, Bangladesh
| | - Qiming Shen
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
| | - Nicholas Balasuriya
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
| | - John Lok Man Law
- Department
of Medical Microbiology and Immunology, University of Alberta, Edmonton, AlbertaT6G 2E1, Canada
- Li
Ka Shing Institute of Virology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta T6G 2E1, Canada
| | - Michael Logan
- Department
of Medical Microbiology and Immunology, University of Alberta, Edmonton, AlbertaT6G 2E1, Canada
- Li
Ka Shing Institute of Virology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta T6G 2E1, Canada
| | - Michael Houghton
- Department
of Medical Microbiology and Immunology, University of Alberta, Edmonton, AlbertaT6G 2E1, Canada
- Li
Ka Shing Institute of Virology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta T6G 2E1, Canada
| | - D. Lorne Tyrrell
- Department
of Medical Microbiology and Immunology, University of Alberta, Edmonton, AlbertaT6G 2E1, Canada
- Li
Ka Shing Institute of Virology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta T6G 2E1, Canada
| | - Michael A. Joyce
- Department
of Medical Microbiology and Immunology, University of Alberta, Edmonton, AlbertaT6G 2E1, Canada
- Li
Ka Shing Institute of Virology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta T6G 2E1, Canada
| | - Michael J. Serpe
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
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Zhang L, Huang Q, Zhang X, Zeng Z, Zhang H, Guan T, Xu Y, Zhou C, Meng L, Liang G, Li Z, Wang B, Liu L, Guo C, He Y. Ultra-precise weak measurement-based interfacial biosensors. Talanta 2023; 257:124217. [PMID: 36801563 DOI: 10.1016/j.talanta.2022.124217] [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: 09/22/2022] [Revised: 12/17/2022] [Accepted: 12/21/2022] [Indexed: 12/24/2022]
Abstract
In this study, an interfacial biosensing scheme with ultra-precision is proposed. The scheme uses weak measurement techniques to ensure ultra-high sensitivity of the sensing system while improving the stability of the system through self-referencing and pixel point averaging, thus achieving ultra-high detection accuracy of biological samples. In specific experiments, we have used the biosensor in this study to perform specific binding reaction experiments for protein A and Mouse IgG with a detection line of 2.71 ng/mL for IgG. In addition, the sensor is non-coated, simple in structure, easy to operate, and low in cost of use.
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Affiliation(s)
- Lizhong Zhang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Qiang Huang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Shenzhen Shengqiang Technology Co., Ltd, China; Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Xiaonan Zhang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Zhen Zeng
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Hailong Zhang
- Key Laboratory of Photonic Control Technology (Tsinghua University), Ministry of Education, Beijing, 100084, China; Department of Precision Instrument, Tsinghua University, Beijing, 100084, China
| | - Tian Guan
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Yang Xu
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Chongqi Zhou
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Department of Physics, Tsinghua University, Beijing, 100084, China
| | - Lingqin Meng
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Gengyu Liang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Zhangyan Li
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Department of Physics, Tsinghua University, Beijing, 100084, China
| | - Bei Wang
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Le Liu
- Institute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Cuixia Guo
- School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China.
| | - Yonghong He
- Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
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9
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Yi Z, Ren Y, Li Y, Long F, Zhu A. Development of portable and reusable optical fiber chemiluminescence biosensing platform for rapid on-site detection of Aflatoxin B1. Microchem J 2023. [DOI: 10.1016/j.microc.2022.108305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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10
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Szczerska M, Wityk P, Listewnik P. The SARS-CoV-2 specific IgG antibodies biophotonic sensor. JOURNAL OF BIOPHOTONICS 2023; 16:e202200172. [PMID: 36222282 PMCID: PMC9874777 DOI: 10.1002/jbio.202200172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 09/23/2022] [Accepted: 09/28/2022] [Indexed: 06/16/2023]
Abstract
In this paper, we present the design and the principle of operation of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) specific immunoglobulin G (IgG) biophotonic sensor, which is based on the single-mode telecommunication fiber. We fabricated the sensor head at the face of the single mode fiber-28. Due to the process of bio-functionalization, our sensor has the ability to selectively detect the SARS-CoV-2 specific IgG antibodies. The results of preliminary tests allowed us to correctly determine the presence of antibodies in less than 1 min in 5 μl in a volume sample of concentration of 10 μg/ml, which according to studies, corresponds to the concentration of IgG antibodies in human serum. Additionally, the tested sample can be smaller than 5 μl in volume.
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Affiliation(s)
- Małgorzata Szczerska
- Department of Metrology and Optoelectronics, Faculty of Electronics, Telecommunications and InformaticsGdańsk University of TechnologyGdańskPoland
| | - Paweł Wityk
- Department of Biopharmaceutics and PharmacodynamicsMedical University of GdańskGdańskPoland
| | - Paulina Listewnik
- Department of Metrology and Optoelectronics, Faculty of Electronics, Telecommunications and InformaticsGdańsk University of TechnologyGdańskPoland
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11
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Xu W, Song D, Liu J, Han X, Xu J, Zhu A, Long F. Development of chemiluminescent lab-on-fiber immunosensors for rapid point-of-care testing of anti-SARS-CoV-2 antibodies and evaluation of longitudinal immune response kinetics following three-dose inactivation virus vaccination. J Med Virol 2022; 95:e28190. [PMID: 36180404 PMCID: PMC9539144 DOI: 10.1002/jmv.28190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 09/19/2022] [Accepted: 09/26/2022] [Indexed: 01/11/2023]
Abstract
Developing reliable, rapid, and quantitative point-of-care testing (POCT) technology of SARS-CoV-2-specific antibodies and understanding longitudinal vaccination response kinetics are highly required to restrain the ongoing coronavirus disease 2019 (COVID-19) pandemic. We demonstrate a novel portable, sensitive, and rapid chemiluminescent lab-on-fiber detection platform for detection of anti-SARS-CoV-2 antibodies: the chemiluminescent lab-on-fiber immunosensor (c-LOFI). Using SARS-CoV-2 Spike S1 RBD protein functionalized fiber bio-probe, the c-LOFI can detect anti-SARS-CoV-2 immunoglobulin G (IgG) and immunoglobulin M (IgM) antibodies with high sensitivity based on their respective horseradish peroxidase-labeled secondary antibodies. The limits of detection of anti-SARS-CoV-2 IgG and IgM antibodies were 0.6 and 0.3 ng/ml, respectively. The c-LOFI was successfully applied for direct detection of anti-SARS-CoV-2 antibodies in whole blood samples with simple dilution, which can serve as a finger prick test to rapidly detect antibodies. Furthermore, the longitudinal immune response (>12 months) kinetics following three-dose inactivated virus vaccines was evaluated based on anti-SARS-CoV-2 IgG detection results, which can provide important significance for understanding the immune mechanism against COVID-19 and identify individuals who may benefit from the vaccination and booster vaccination. The c-LOFI has great potential to become a sensitive, low-cost, rapid, high-frequency POCT tool for the detection of both SARS-CoV-2-specific antibodies and other biomarkers.
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Affiliation(s)
- Wenjuan Xu
- School of Environment and Natural ResourcesRenmin University of ChinaBeijing100872China
| | - Dan Song
- School of Environment and Natural ResourcesRenmin University of ChinaBeijing100872China
| | - Jiayao Liu
- School of Environment and Natural ResourcesRenmin University of ChinaBeijing100872China
| | - Xiangzhi Han
- School of Environment and Natural ResourcesRenmin University of ChinaBeijing100872China
| | - Jiaxin Xu
- School of Environment and Natural ResourcesRenmin University of ChinaBeijing100872China
| | - Anna Zhu
- State Key Laboratory of NBC Protection for CivilianBeijing102205China
| | - Feng Long
- School of Environment and Natural ResourcesRenmin University of ChinaBeijing100872China,Department of ChemistryRenmin University of ChinaBeijing100872China
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12
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Colorimetric Detection of the SARS-CoV-2 Virus (COVID-19) in Artificial Saliva Using Polydiacetylene Paper Strips. BIOSENSORS 2022; 12:bios12100804. [PMID: 36290942 PMCID: PMC9599072 DOI: 10.3390/bios12100804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/22/2022] [Accepted: 09/27/2022] [Indexed: 11/25/2022]
Abstract
The spread and resurgence of the SARS-CoV-2 virus (COVID-19 disease) threatens human health and social relations. Prevention of COVID-19 disease partly relies on fabricating low-cost, point-of-care (POC) sensing technology that can rapidly and selectively detect the SARS-CoV-2 virus. We report a colorimetric, paper-based polydiacetylene (PDA) biosensor, designed to detect SARS-CoV-2 spike protein in artificial saliva. Analytical characterizations of the PDA sensor using NMR and FT-IR spectroscopy showed the correct structural elucidation of PCDA-NHS conjugation. The PDA sensor platform containing the N-Hydroxysuccinimide ester of 10, 12-pentacosadiynoic acid (PCDA-NHS) was divided into three experimental PCDA-NHS concentration groups of 10%, 20%, and 30% to optimize the performance of the sensor. The optimal PCDA-NHS molar concentration was determined to be 10%. The PDA sensor works by a color change from blue to red as its colorimetric output when the immobilized antibody binds to the SARS-CoV-2 spike protein in saliva samples. Our results showed that the PDA sensing platform was able to rapidly and qualitatively detect the SARS-CoV-2 spike protein within the concentration range of 1 to 100 ng/mL after four hours of incubation. Further investigation of pH and temperature showed minimal influence on the PDA sensor for the detection of COVID-19 disease. After exposure to the SARS-CoV-2 spike protein, smartphone images of the PDA sensor were used to assess the sensor output by using the red chromatic shift (RCS) of the signal response. These results indicate the potential and practical use of this PDA sensor design for the rapid, colorimetric detection of COVID-19 disease in developing countries with limited access to medical testing.
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13
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Pohanka M. Progress in Biosensors for the Point-of-Care Diagnosis of COVID-19. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22197423. [PMID: 36236521 PMCID: PMC9571584 DOI: 10.3390/s22197423] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/22/2022] [Accepted: 09/26/2022] [Indexed: 05/31/2023]
Abstract
Coronavirus disease 2019 (COVID-19) is a highly virulent infection that has caused a pandemic since 2019. Early diagnosis of the disease has been recognized as one of the important approaches to minimize the pathological impact and spread of infection. Point-of-care tests proved to be substantial analytical tools, and especially lateral flow immunoassays (lateral flow tests) serve the purpose. In the last few years, biosensors have gained popularity. These are simple but highly sensitive and accurate analytical devices composed from a selective molecule such as an antibody or antigen and a sensor platform. Biosensors would be an advanced alternative to current point-of-care tests for COVID-19 diagnosis and standard laboratory methods as well. Recent discoveries related to point-of-care diagnostic tests for COVID-19, the development of biosensors for specific antibodies and specific virus parts or their genetic information are reviewed.
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Affiliation(s)
- Miroslav Pohanka
- Faculty of Military Health Sciences, University of Defense, Trebesska 1575, CZ-50001 Hradec Kralove, Czech Republic
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14
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A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning. BIOSENSORS 2022; 12:bios12090710. [PMID: 36140093 PMCID: PMC9496380 DOI: 10.3390/bios12090710] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 08/22/2022] [Accepted: 08/25/2022] [Indexed: 11/25/2022]
Abstract
The ability to interpret information through automatic sensors is one of the most important pillars of modern technology. In particular, the potential of biosensors has been used to evaluate biological information of living organisms, and to detect danger or predict urgent situations in a battlefield, as in the invasion of SARS-CoV-2 in this era. This work is devoted to describing a panoramic overview of optical biosensors that can be improved by the assistance of nonlinear optics and machine learning methods. Optical biosensors have demonstrated their effectiveness in detecting a diverse range of viruses. Specifically, the SARS-CoV-2 virus has generated disturbance all over the world, and biosensors have emerged as a key for providing an analysis based on physical and chemical phenomena. In this perspective, we highlight how multiphoton interactions can be responsible for an enhancement in sensibility exhibited by biosensors. The nonlinear optical effects open up a series of options to expand the applications of optical biosensors. Nonlinearities together with computer tools are suitable for the identification of complex low-dimensional agents. Machine learning methods can approximate functions to reveal patterns in the detection of dynamic objects in the human body and determine viruses, harmful entities, or strange kinetics in cells.
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15
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Ghafary Z, Salimi A, Hallaj R. Exploring the Role of 2D-Graphdiyne as a Charge Carrier Layer in Field-Effect Transistors for Non-Covalent Biological Immobilization against Human Diseases. ACS Biomater Sci Eng 2022; 8:3986-4001. [PMID: 35939853 DOI: 10.1021/acsbiomaterials.2c00607] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Graphdiyne's (GDY's) outstanding features have made it a novel 2D nanomaterial and a great candidate for electronic gadgets and optoelectronic devices, and it has opened new opportunities for the development of highly sensitive electronic and optical detection methods as well. Here, we testified a non-covalent grafting strategy in which GDY serves as a charge carrier layer and a bioaffinity substrate to immobilize biological receptors on GDY-based field-effect transistor (FET) devices. Firm non-covalent anchoring of biological molecules via pyrene groups and electrostatic interactions in addition to preserved electrical properties of GDY endows it with features of an ultrasensitive and stable detection mechanism. With emerging new forms and extending the subtypes of the already existing fatal diseases, genetic and biological knowledge demands more details. In this regard, we constructed simple yet efficient platforms using GDY-based FET devices in order to detect different kinds of biological molecules that threaten human health. The resulted data showed that the proposed non-covalent bioaffinity assays in GDY-based FET devices could be considered reliable strategies for novel label-free biosensing platforms, which still reach a high on/off ratio of over 104. The limits of detection of the FET devices to detect DNA strands, the CA19-9 antigen, microRNA-155, the CA15-3 antigen, and the COVID-19 antigen were 0.2 aM, 0.04 pU mL-1, 0.11 aM, 0.043 pU mL-1, and 0.003 fg mL-1, respectively, in the linear ranges of 1 aM to 1 pM, 1 pU mL-1 to 0.1 μU mL-1, 1 aM to 1 pM, 1 pU mL-1 to 10 μU mL-1, and 1 fg mL-1 to 10 ng mL-1, respectively. Finally, the extraordinary performance of these label-free FET biosensors with low detection limits, high sensitivity and selectivity, capable of being miniaturized, and implantability for in vivo analysis makes them a great candidate in disease diagnostics and point-of-care testing.
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Affiliation(s)
- Zhaleh Ghafary
- Department of Chemistry, University of Kurdistan, 66177-15175 Sanandaj, Iran
| | - Abdollah Salimi
- Department of Chemistry, University of Kurdistan, 66177-15175 Sanandaj, Iran.,Research Center for Nanotechnology, University of Kurdistan, 66177-15175 Sanandaj, Iran
| | - Rahman Hallaj
- Department of Chemistry, University of Kurdistan, 66177-15175 Sanandaj, Iran.,Research Center for Nanotechnology, University of Kurdistan, 66177-15175 Sanandaj, Iran
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Liang P, Guo Q, Zhao T, Wen CY, Tian Z, Shang Y, Xing J, Jiang Y, Zeng J. Ag Nanoparticles with Ultrathin Au Shell-Based Lateral Flow Immunoassay for Colorimetric and SERS Dual-Mode Detection of SARS-CoV-2 IgG. Anal Chem 2022; 94:8466-8473. [PMID: 35657150 PMCID: PMC9211040 DOI: 10.1021/acs.analchem.2c01286] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 05/19/2022] [Indexed: 01/08/2023]
Abstract
Immunoglobulin detection is essential for diagnosing progression of SARS-CoV-2 infection, for which SARS-CoV-2 IgG is one of the most important indexes. In this paper, Ag nanoparticles with ultrathin Au shells (∼2 nm) embedded with 4-mercaptobenzoic acid (MBA) (AgMBA@Au) were manufactured via a ligand-assisted epitaxial growth method and integrated into lateral flow immunoassay (LFIA) for colorimetric and SERS dual-mode detection of SARS-CoV-2 IgG. AgMBA@Au possessed not only the surface chemistry advantages of Au but also the superior optical characteristics of Ag. Moreover, the nanogap between the Ag core and the Au shell also greatly enhanced the Raman signal. After being modified with anti-human antibodies, AgMBA@Au recognized and combined with SARS-CoV-2 IgG, which was captured by the SARS-CoV-2 spike protein on the T line. Qualitative analysis was achieved by visually observing the color of the T line, and quantitative analysis was conducted by measuring the SERS signal with a sensitivity four orders of magnitude higher (detection limit: 0.22 pg/mL). The intra-assay and inter-assay variation coefficients were 7.7 and 10.3%, respectively, and other proteins at concentrations of 10 to 20 times higher than those of SARS-CoV-2 IgG could hardly produce distinguishable signals, confirming good reproducibility and specificity. Finally, this method was used to detect 107 clinical serum samples. The results agreed well with those obtained from enzyme-linked immunosorbent assay kits and were significantly better than those of the colloidal gold test strips. Therefore, this dual-mode LFIA has great potential in clinical practical applications and can be used to screen and trace the early immune response of SARS-CoV-2.
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Affiliation(s)
- Penghui Liang
- College
of Chemistry and Chemical Engineering, China
University of Petroleum (East China), Qingdao 266580, P. R.
China
| | - Qi Guo
- The
Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266003, China
| | - Tianyu Zhao
- College
of Chemistry and Chemical Engineering, China
University of Petroleum (East China), Qingdao 266580, P. R.
China
| | - Cong-Ying Wen
- College
of Chemistry and Chemical Engineering, China
University of Petroleum (East China), Qingdao 266580, P. R.
China
| | - Zhangyu Tian
- College
of Chemistry and Chemical Engineering, China
University of Petroleum (East China), Qingdao 266580, P. R.
China
| | - Yanxue Shang
- College
of Chemistry and Chemical Engineering, China
University of Petroleum (East China), Qingdao 266580, P. R.
China
| | - Jinyan Xing
- The
Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266003, China
| | - Yongzhong Jiang
- Hubei
Provincial Center for Disease Control and Prevention, Wuhan 430065, China
| | - Jingbin Zeng
- College
of Chemistry and Chemical Engineering, China
University of Petroleum (East China), Qingdao 266580, P. R.
China
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17
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Using machine learning and an electronic tongue for discriminating saliva samples from oral cavity cancer patients and healthy individuals. Talanta 2022; 243:123327. [DOI: 10.1016/j.talanta.2022.123327] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 02/14/2022] [Accepted: 02/16/2022] [Indexed: 11/20/2022]
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18
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Yi Z, Zhou Y, Ren Y, Hu W, Long F, Zhu A. A novel sensitive DNAzyme-based optical fiber evanescent wave biosensor for rapid detection of Pb 2+ in human serum. Analyst 2022; 147:1467-1477. [PMID: 35266947 DOI: 10.1039/d2an00043a] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
We describe here a portable DNAzyme-based optical fiber evanescent wave biosensor (OFEWB) for the rapid and sensitive detection of Pb2+ in human serum. Unlike other biosensors, the OFEWB dispensed with the complicated process of attaching biometric elements to the optical fiber, and the optical fiber directly acted as a transducer to transmit the excitation light and simultaneously collected the fluorescence, which could simplify the detection process, avoid the susceptibility to interference from complex environments and strengthen the reusability of the biosensor. The fluorescence (Cy3) labelled substrate sequence (GR-5S-Cy3) could be cleaved under the catalysis of the GR-5 DNAzyme sequence (GR-5E-BHQ2) in the presence of Pb2+; then the released fluorescence labelled fragments could be directly excited and detected by the OFEWB due to the high transmission efficiency of the excitation light and fluorescence in the OFEWB. Several key factors affecting Pb2+ detection were investigated in detail and optimized. Under the optimal conditions, the LOD of Pb2+ in human serum was 9.34 nM (equivalent to 93.4 nM in whole serum) with a detection range of 0-120 nM. The possible matrix interference was evaluated with different spiked human serum samples, and the recovery of Pb2+ ranged from 74.4% to 112.5% with RSD < 14.8%, implying this method had excellent practicability and could be potentially used in analyzing some biomedical samples.
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Affiliation(s)
- Zhihao Yi
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China.
| | - Yue Zhou
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China.
| | - Yashuang Ren
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China.
| | - Wei Hu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China.
| | - Feng Long
- School of Environment and Natural Resource, Renmin University of China, Beijing, 100872, China.
| | - Anna Zhu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China.
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19
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Alathari MJA, Al Mashhadany Y, Mokhtar MHH, Burham N, Bin Zan MSD, A Bakar AA, Arsad N. Human Body Performance with COVID-19 Affectation According to Virus Specification Based on Biosensor Techniques. SENSORS (BASEL, SWITZERLAND) 2021; 21:8362. [PMID: 34960456 PMCID: PMC8704003 DOI: 10.3390/s21248362] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 12/08/2021] [Accepted: 12/09/2021] [Indexed: 12/12/2022]
Abstract
Life was once normal before the first announcement of COVID-19's first case in Wuhan, China, and what was slowly spreading became an overnight worldwide pandemic. Ever since the virus spread at the end of 2019, it has been morphing and rapidly adapting to human nature changes which cause difficult conundrums in the efforts of fighting it. Thus, researchers were steered to investigate the virus in order to contain the outbreak considering its novelty and there being no known cure. In contribution to that, this paper extensively reviewed, compared, and analyzed two main points; SARS-CoV-2 virus transmission in humans and detection methods of COVID-19 in the human body. SARS-CoV-2 human exchange transmission methods reviewed four modes of transmission which are Respiratory Transmission, Fecal-Oral Transmission, Ocular transmission, and Vertical Transmission. The latter point particularly sheds light on the latest discoveries and advancements in the aim of COVID-19 diagnosis and detection of SARS-CoV-2 virus associated with this disease in the human body. The methods in this review paper were classified into two categories which are RNA-based detection including RT-PCR, LAMP, CRISPR, and NGS and secondly, biosensors detection including, electrochemical biosensors, electronic biosensors, piezoelectric biosensors, and optical biosensors.
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Affiliation(s)
- Mohammed Jawad Ahmed Alathari
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia; (M.J.A.A.); (M.H.H.M.); (N.B.); (M.S.D.B.Z.); (A.A.A.B.)
| | - Yousif Al Mashhadany
- Department of Electrical Engineering, College of Engineering, University of Anbar, Anbar 00964, Iraq;
| | - Mohd Hadri Hafiz Mokhtar
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia; (M.J.A.A.); (M.H.H.M.); (N.B.); (M.S.D.B.Z.); (A.A.A.B.)
| | - Norhafizah Burham
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia; (M.J.A.A.); (M.H.H.M.); (N.B.); (M.S.D.B.Z.); (A.A.A.B.)
- School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam 40450, Malaysia
| | - Mohd Saiful Dzulkefly Bin Zan
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia; (M.J.A.A.); (M.H.H.M.); (N.B.); (M.S.D.B.Z.); (A.A.A.B.)
| | - Ahmad Ashrif A Bakar
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia; (M.J.A.A.); (M.H.H.M.); (N.B.); (M.S.D.B.Z.); (A.A.A.B.)
| | - Norhana Arsad
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia; (M.J.A.A.); (M.H.H.M.); (N.B.); (M.S.D.B.Z.); (A.A.A.B.)
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