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Li X, Wang J, Yang G, Fang X, Zhao L, Luo Z, Dong Y. The Development of Aptamer-Based Gold Nanoparticle Lateral Flow Test Strips for the Detection of SARS-CoV-2 S Proteins on the Surface of Cold-Chain Food Packaging. Molecules 2024; 29:1776. [PMID: 38675595 PMCID: PMC11052266 DOI: 10.3390/molecules29081776] [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: 02/17/2024] [Revised: 04/08/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
The COVID-19 pandemic over recent years has shown a great need for the rapid, low-cost, and on-site detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, an aptamer-based colloidal gold nanoparticle lateral flow test strip was well developed to realize the visual detection of wild-type SARS-CoV-2 spike proteins (SPs) and multiple variants. Under the optimal reaction conditions, a low detection limit of SARS-CoV-2 S proteins of 0.68 nM was acquired, and the actual detection recovery was 83.3% to 108.8% for real-world samples. This suggests a potential tool for the prompt detection of SARS-CoV-2 with good sensitivity and accuracy, and a new method for the development of alternative antibody test strips for the detection of other viral targets.
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Affiliation(s)
- Xiaotong Li
- Laboratory of Food Safety and Risk Assessment, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China; (X.L.); (J.W.); (L.Z.)
| | - Jiachen Wang
- Laboratory of Food Safety and Risk Assessment, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China; (X.L.); (J.W.); (L.Z.)
| | - Ge Yang
- CAMS Key Laboratory of Antiviral Drug Research, Beijing Key Laboratory of Antimicrobial Agents, NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China;
| | - Xiaona Fang
- Department of Basic Medicine, Anhui Medical College, Hefei 230601, China;
| | - Lianhui Zhao
- Laboratory of Food Safety and Risk Assessment, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China; (X.L.); (J.W.); (L.Z.)
| | - Zhaofeng Luo
- Key Laboratory of Zhejiang Province for Aptamers and Theragnostic, Aptamer Selection Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China
| | - Yiyang Dong
- Laboratory of Food Safety and Risk Assessment, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China; (X.L.); (J.W.); (L.Z.)
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2
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Al-Qaoud KM, Obeidat YM, Al-Omari T, Okour M, Al-Omari MM, Ahmad MI, Alshadfan R, Rawashdeh AM. The development of an electrochemical immunosensor utilizing chicken IgY anti-spike antibody for the detection of SARS-CoV-2. Sci Rep 2024; 14:748. [PMID: 38185704 PMCID: PMC10772103 DOI: 10.1038/s41598-023-50501-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 12/20/2023] [Indexed: 01/09/2024] Open
Abstract
This paper introduces a novel approach for detecting the SARS-CoV-2 recombinant spike protein combining a label free electrochemical impedimetric immunosensor with the use of purified chicken IgY antibodies. The sensor employs three electrodes and is functionalized with an anti-S IgY antibody, ELISA and immunoblot assays confirmed the positive response of chicken immunized with SARS-CoV2 S antigen. The developed immunosensor is effective in detecting SARS-CoV-2 in nasopharyngeal clinical samples from suspected cases. The key advantage of this biosensor is its remarkable sensitivity, and its capability of detecting very low concentrations of the target analyte, with a detection limit of 5.65 pg/mL. This attribute makes it highly suitable for practical point-of-care (POC) applications, particularly in low analyte count clinical scenarios, without requiring amplification. Furthermore, the biosensor has a wide dynamic range of detection, spanning from 11.56 to 740 ng/mL, which makes it applicable for sample analysis in a typical clinical setting.
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Affiliation(s)
- Khaled M Al-Qaoud
- Department of Biological Sciences, Faculty of Science, Yarmouk University, Irbid, Jordan
| | - Yusra M Obeidat
- Department of Electronics Engineering, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid, Jordan.
| | - Tareq Al-Omari
- Department of Biological Sciences, Faculty of Science, Yarmouk University, Irbid, Jordan
| | - Mohammad Okour
- Department of Biological Sciences, Faculty of Science, Yarmouk University, Irbid, Jordan
| | - Mariam M Al-Omari
- Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, Jordan
| | - Mohammad I Ahmad
- Rawgene Biotech, Umm Khelad St. 33, Amman, Jordan
- Atlas Medical, Sahab Industrial Area, Amman, Jordan
- Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Raed Alshadfan
- Rawgene Biotech, Umm Khelad St. 33, Amman, Jordan
- Atlas Medical, Sahab Industrial Area, Amman, Jordan
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3
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Qi H, Xiao L, Wu J, Lv L, Hu X, Zhuang Y, Liu X, Zhao W, You F, Zhang J, Zheng L. One-step and real-time detection of Hg 2+ in brown rice flour using a biosensor integrated with AC electrothermal enrichment. Food Chem 2023; 416:135823. [PMID: 36893644 DOI: 10.1016/j.foodchem.2023.135823] [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: 11/05/2022] [Revised: 02/15/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023]
Abstract
Mercury (Hg2+) is one of the most toxic heavy metals in farm products, so rapid detection of trace Hg2+ has always been sought after with high interest. Herein, we report a biosensor to specifically recognize Hg2+ in leaching solutions of brown rice flour. This sensor is simple and of low cost, with a very short assay time of 30 s. Another merit is the ultra-low limit of detection (LOD) at fM level. In addition, the specific aptamer probe realizes a good selectivity above 105: 1 against the interferences. This sensor is developed based on an aptamer-modified gold electrode array (GEA) for capacitive sensing. Alternating current electrothermal (ACET) enrichment is induced during the AC capacitance acquirement. Thus, the enrichment and detection are coupled as a single step, and pre-concentration is needless. Owing to the sensing mechanism of solid-liquid interfacial capacitance and ACET enrichment, Hg2+ level can be sensitively and rapidly reflected. Also, the sensor has a wide linear range from 1 fM to 0.1 nM and a shelf life of 15 days. This biosensor shows advantages on overall performance, enabling easy-to-operate, real-time, and large-scale Hg2+ detection in farm products.
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Affiliation(s)
- Haochen Qi
- College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China; State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China; School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China
| | - Lei Xiao
- College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou 325035, China
| | - Jayne Wu
- Department of Electrical Engineering and Computer Science, the University of Tennessee, Knoxville, TN 37996, USA.
| | - Li Lv
- College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China
| | - Xinyu Hu
- College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China
| | - Youyi Zhuang
- College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China
| | - Xiaoru Liu
- School of Engineering, Trinity College Dublin, Dublin 999015, Ireland
| | - Wenci Zhao
- School of Microelectronics, Hefei University of Technology, Hefei 230009, China
| | - Fangshuo You
- School of Microelectronics, Hefei University of Technology, Hefei 230009, China
| | - Jian Zhang
- College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China; State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China; School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.
| | - Lei Zheng
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.
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Gharib G, Bütün İ, Muganlı Z, Kozalak G, Namlı İ, Sarraf SS, Ahmadi VE, Toyran E, van Wijnen AJ, Koşar A. Biomedical Applications of Microfluidic Devices: A Review. BIOSENSORS 2022; 12:bios12111023. [PMID: 36421141 PMCID: PMC9688231 DOI: 10.3390/bios12111023] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/30/2022] [Accepted: 11/08/2022] [Indexed: 05/26/2023]
Abstract
Both passive and active microfluidic chips are used in many biomedical and chemical applications to support fluid mixing, particle manipulations, and signal detection. Passive microfluidic devices are geometry-dependent, and their uses are rather limited. Active microfluidic devices include sensors or detectors that transduce chemical, biological, and physical changes into electrical or optical signals. Also, they are transduction devices that detect biological and chemical changes in biomedical applications, and they are highly versatile microfluidic tools for disease diagnosis and organ modeling. This review provides a comprehensive overview of the significant advances that have been made in the development of microfluidics devices. We will discuss the function of microfluidic devices as micromixers or as sorters of cells and substances (e.g., microfiltration, flow or displacement, and trapping). Microfluidic devices are fabricated using a range of techniques, including molding, etching, three-dimensional printing, and nanofabrication. Their broad utility lies in the detection of diagnostic biomarkers and organ-on-chip approaches that permit disease modeling in cancer, as well as uses in neurological, cardiovascular, hepatic, and pulmonary diseases. Biosensor applications allow for point-of-care testing, using assays based on enzymes, nanozymes, antibodies, or nucleic acids (DNA or RNA). An anticipated development in the field includes the optimization of techniques for the fabrication of microfluidic devices using biocompatible materials. These developments will increase biomedical versatility, reduce diagnostic costs, and accelerate diagnosis time of microfluidics technology.
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Affiliation(s)
- Ghazaleh Gharib
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
- Sabanci University Nanotechnology Research and Application Centre (SUNUM), Istanbul 34956, Turkey
- Center of Excellence for Functional Surfaces and Interfaces for Nano Diagnostics (EFSUN), Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey
| | - İsmail Bütün
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
| | - Zülâl Muganlı
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
| | - Gül Kozalak
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
- Center of Excellence for Functional Surfaces and Interfaces for Nano Diagnostics (EFSUN), Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey
| | - İlayda Namlı
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
| | | | | | - Erçil Toyran
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
| | - Andre J. van Wijnen
- Department of Biochemistry, University of Vermont, 89 Beaumont Avenue, Burlington, VT 05405, USA
| | - Ali Koşar
- Faculty of Engineering and Natural Science, Sabanci University, Istanbul 34956, Turkey
- Sabanci University Nanotechnology Research and Application Centre (SUNUM), Istanbul 34956, Turkey
- Center of Excellence for Functional Surfaces and Interfaces for Nano Diagnostics (EFSUN), Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey
- Turkish Academy of Sciences (TÜBA), Çankaya, Ankara 06700, Turkey
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5
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Mao G, Li Y, Wu G, Ye S, Cao S, Zhao W, Lu J, Dai J, Ma Y. Construction of ratiometric Si-Mn:ZnSe nanoparticles for the immunoassay of SARS-CoV-2 spike protein. SENSORS AND ACTUATORS. B, CHEMICAL 2022; 369:132306. [PMID: 35813462 PMCID: PMC9250813 DOI: 10.1016/j.snb.2022.132306] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/15/2022] [Accepted: 06/29/2022] [Indexed: 05/26/2023]
Abstract
The continuing global spread of Coronavirus Disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection, has led to an unprecedented global health crisis. Effective and affordable methods are needed to diagnose SARS-CoV-2 infection. In this work, a ratiometric fluorescence probe, Si-Mn:ZnSe nanoparticles, was constructed through the electrostatic interaction between Si dots and Mn:ZnSe QDs, and the fluorescence of Mn:ZnSe QDs has a specifical response to H2O2. An immunocomplex was formed by the recognition of capture antibody/spike (S) protein/spike neutralizing antibody/biotinylated second antibody/streptavidin/biotinylated catalase (CAT). In the presence of S protein, CAT effectively catalyzed the decomposition of H2O2 in the system, and the fluorescence of Mn:ZnSe QDs was not specifically quenched. Based on this principle, a ratiometric immunoassay of SARS-CoV-2 S protein was established. The sensitivity of the proposed ELISA method was comparable to that of the commercial kit. In addition, this method can effectively distinguish the pseudo-SARS-CoV-2 virus and other pseudovirus. Therefore, this method provided a reliable and potential direction for diagnosing SARS-CoV-2 infection.
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Affiliation(s)
- Guobin Mao
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yifang Li
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Guoqiang Wu
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Silu Ye
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Shijie Cao
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Wei Zhao
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Junnan Lu
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Junbiao Dai
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yingxin Ma
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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6
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Zhang J, Qi H, Wu J, Guan X, Hu Z, Zheng L. Promising on-site and rapid SARS-CoV-2 detection via antigens. Front Public Health 2022; 10:978064. [PMID: 36299753 PMCID: PMC9589338 DOI: 10.3389/fpubh.2022.978064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 09/22/2022] [Indexed: 01/25/2023] Open
Affiliation(s)
- Jian Zhang
- College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou, China,School of Food and Biological Engineering, Hefei University of Technology, Hefei, China
| | - Haochen Qi
- College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou, China,School of Food and Biological Engineering, Hefei University of Technology, Hefei, China
| | - Jayne Wu
- Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, United States,*Correspondence: Jayne Wu
| | - Xiaochun Guan
- College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou, China
| | - Zhiwen Hu
- School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China
| | - Lei Zheng
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, China,Lei Zheng
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Kong J, Li W, Hu J, Zhao S, Yue T, Li Z, Xia Y. The Safety of Cold-Chain Food in Post-COVID-19 Pandemic: Precaution and Quarantine. Foods 2022; 11:foods11111540. [PMID: 35681292 PMCID: PMC9180738 DOI: 10.3390/foods11111540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 05/03/2022] [Accepted: 05/20/2022] [Indexed: 02/04/2023] Open
Abstract
Since the outbreak of coronavirus disease-19 (COVID-19), cold-chain food contamination caused by the pathogenic severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has attracted huge concern. Cold-chain foods provide a congenial environment for SARS-CoV-2 survival, which presents a potential risk for public health. Strengthening the SARS-CoV-2 supervision of cold-chain foods has become the top priority in many countries. Methodologically, the potential safety risks and precaution measures of SARS-CoV-2 contamination on cold-chain food are analyzed. To ensure the safety of cold-chain foods, the advances in SARS-CoV-2 detection strategies are summarized based on technical principles and target biomarkers. In particular, the techniques suitable for SARS-CoV-2 detection in a cold-chain environment are discussed. Although many quarantine techniques are available, the field-based quarantine technique on cold-chain food with characteristics of real-time, sensitive, specific, portable, and large-scale application is urgently needed.
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Affiliation(s)
- Jia Kong
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
| | - Wenxin Li
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
| | - Jinyao Hu
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
| | - Shixuan Zhao
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
| | - Tianli Yue
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
- Laboratory of Quality & Safety Risk Assessment for Agro-Products, Ministry of Agriculture, Xianyang 712100, China
| | - Zhonghong Li
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
- Laboratory of Quality & Safety Risk Assessment for Agro-Products, Ministry of Agriculture, Xianyang 712100, China
| | - Yinqiang Xia
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
- Correspondence: ; Tel.: +86-151-2222-5493
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Ultrafast Detection of SARS-CoV-2 Spike Protein (S) and Receptor-Binding Domain (RBD) in Saliva Using Surface-Enhanced Raman Spectroscopy. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12105039] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Controlling contagious diseases necessitates using diagnostic techniques that can detect infection in the early stages. Although different diagnostic tools exist, there are still challenges related to accuracy, rapidity, cost-effectiveness, and ease of use. Surface-enhanced Raman spectroscopy (SERS) is a rapid, simple, less expensive, and accurate method. We continue our previous work published on SERS detection of the SARS-CoV-2 receptor-binding domain (RBD) in water. In this work, we replace water with saliva to detect SARS-CoV-2 proteins at very low concentrations and during a very short time. We prepared a very low concentration of 10−9 M SARS-CoV-2 spike protein (S) and SARS-CoV-2 receptor-binding domain (RBD) in saliva to mimic a real case scenario. Then, we drop them on a SERS substrate. Using modified SERS measurements on the control and the sample containing the biomolecules, confirmed the sensitivity of the target identification. This technique provides different diagnostic solutions that are fast, simple, non-destructive and ultrasensitive. Simulation of the real-world of silicon wire covered with silver and gold, were performed using an effective and accurate tool, COMSOL Multiphysics software, for the enhancement properties study.
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9
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Hrdy J, Vasickova P. Virus detection methods for different kinds of food and water samples – The importance of molecular techniques. Food Control 2022. [DOI: 10.1016/j.foodcont.2021.108764] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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10
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Zhang C, Yang Y, Feng Z, Xiao C, Liu Y, Song X, Lang T. Cold Chain Food and COVID-19 Transmission Risk: From the Perspective of Consumption and Trade. Foods 2022; 11:foods11070908. [PMID: 35406995 PMCID: PMC8998142 DOI: 10.3390/foods11070908] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 02/08/2022] [Accepted: 03/15/2022] [Indexed: 02/07/2023] Open
Abstract
Since the outbreak of the coronavirus disease 2019 (COVID-19), political and academic circles have focused significant attention on stopping the chain of COVID-19 transmission. In particular outbreaks related to cold chain food (CCF) have been reported, and there remains a possibility that CCF can be a carrier. Based on CCF consumption and trade matrix data, here, the "source" of COVID-19 transmission through CCF was analyzed using a complex network analysis method, informing the construction of a risk assessment model reflecting internal and external transmission dynamics. The model included the COVID-19 risk index, CCF consumption level, urbanization level, CCF trade quantity, and others. The risk level of COVID-19 transmission by CCF and the dominant risk types were analyzed at national and global scales as well as at the community level. The results were as follows. (1) The global CCF trade network is typically dominated by six core countries in six main communities, such as Indonesia, Argentina, Ukraine, Netherlands, and the USA. These locations are one of the highest sources of risk for COVID-19 transmission. (2) The risk of COVID-19 transmission by CCF in specific trade communities is higher than the global average, with the Netherlands-Germany community being at the highest level. There are eight European countries (i.e., Netherlands, Germany, Belgium, France, Spain, Britain, Italy, and Poland) and three American countries (namely the USA, Mexico, and Brazil) facing a very high level of COVID-19 transmission risk by CCF. (3) Of the countries, 62% are dominated by internal diffusion and 23% by external input risk. The countries with high comprehensive transmission risk mainly experience risks from external inputs. This study provides methods for tracing the source of virus transmission and provides a policy reference for preventing the chain of COVID-19 transmission by CCF and maintaining the security of the global food supply chain.
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Affiliation(s)
- Chao Zhang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.Z.); (Z.F.); (C.X.); (Y.L.); (X.S.); (T.L.)
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
- Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Yanzhao Yang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.Z.); (Z.F.); (C.X.); (Y.L.); (X.S.); (T.L.)
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing 100101, China
- Correspondence:
| | - Zhiming Feng
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.Z.); (Z.F.); (C.X.); (Y.L.); (X.S.); (T.L.)
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing 100101, China
| | - Chiwei Xiao
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.Z.); (Z.F.); (C.X.); (Y.L.); (X.S.); (T.L.)
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing 100101, China
| | - Ying Liu
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.Z.); (Z.F.); (C.X.); (Y.L.); (X.S.); (T.L.)
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xinzhe Song
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.Z.); (Z.F.); (C.X.); (Y.L.); (X.S.); (T.L.)
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tingting Lang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.Z.); (Z.F.); (C.X.); (Y.L.); (X.S.); (T.L.)
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
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Flores-Contreras EA, González-González RB, Rodríguez-Sánchez IP, Yee-de León JF, Iqbal HMN, González-González E. Microfluidics-Based Biosensing Platforms: Emerging Frontiers in Point-of-Care Testing SARS-CoV-2 and Seroprevalence. BIOSENSORS 2022; 12:bios12030179. [PMID: 35323449 PMCID: PMC8946853 DOI: 10.3390/bios12030179] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 03/13/2022] [Accepted: 03/15/2022] [Indexed: 02/05/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused the ongoing COVID-19 (coronavirus disease-2019) outbreak and has unprecedentedly impacted the public health and economic sector. The pandemic has forced researchers to focus on the accurate and early detection of SARS-CoV-2, developing novel diagnostic tests. Among these, microfluidic-based tests stand out for their multiple benefits, such as their portability, low cost, and minimal reagents used. This review discusses the different microfluidic platforms applied in detecting SARS-CoV-2 and seroprevalence, classified into three sections according to the molecules to be detected, i.e., (1) nucleic acid, (2) antigens, and (3) anti-SARS-CoV-2 antibodies. Moreover, commercially available alternatives based on microfluidic platforms are described. Timely and accurate results allow healthcare professionals to perform efficient treatments and make appropriate decisions for infection control; therefore, novel developments that integrate microfluidic technology may provide solutions in the form of massive diagnostics to control the spread of infectious diseases.
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Affiliation(s)
- Elda A. Flores-Contreras
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Nuevo León, Mexico; (E.A.F.-C.); (R.B.G.-G.)
| | | | - Iram P. Rodríguez-Sánchez
- Laboratorio de Fisiología Molecular y Estructural, Facultad de Ciencias Biológicas, Universidad Autónoma de Nuevo León, San Nicolás de los Garza 66455, Nuevo León, Mexico;
| | | | - Hafiz M. N. Iqbal
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Nuevo León, Mexico; (E.A.F.-C.); (R.B.G.-G.)
- Correspondence: (H.M.N.I.); (E.G.-G.)
| | - Everardo González-González
- Laboratorio de Fisiología Molecular y Estructural, Facultad de Ciencias Biológicas, Universidad Autónoma de Nuevo León, San Nicolás de los Garza 66455, Nuevo León, Mexico;
- Correspondence: (H.M.N.I.); (E.G.-G.)
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12
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Qi H, Hu Z, Yang Z, Zhang J, Wu JJ, Cheng C, Wang C, Zheng L. Capacitive Aptasensor Coupled with Microfluidic Enrichment for Real-Time Detection of Trace SARS-CoV-2 Nucleocapsid Protein. Anal Chem 2022; 94:2812-2819. [PMID: 34982528 PMCID: PMC8751652 DOI: 10.1021/acs.analchem.1c04296] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 12/21/2021] [Indexed: 12/13/2022]
Abstract
The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has lasted for almost 2 years. Stemming its spread has posed severe challenges for clinical virus detection. A long turnaround time, complicated operation, and low accuracy have become bottlenecks in developing detection techniques. Adopting a direct antigen detection strategy, we developed a fast-responding and quantitative capacitive aptasensor for ultratrace nucleocapsid protein detection based on a low-cost microelectrode array (MEA) chip. Employing the solid-liquid interface capacitance with a sensitivity of picofarad level, the tiny change on the MEA surface can be definitively detected. As a result, the limit of detection reaches an ultralow level of femtogram per milliliter in different matrices. Integrated with efficient microfluidic enrichment, the response time of this sensor from the sample to the result is shortened to 15 s, completely meeting the real-time detection demand. Moreover, the wide linear range of the sensor is from 10-5 to 10-2 ng/mL, and a high selectivity of 6369:1 is achieved. After application and evaluation in different environmental and body fluid matrices, this sensor and the detection method have proved to be a label-free, real-time, easy-to-operate, and specific strategy for SARS-CoV-2 screening and diagnosis.
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Affiliation(s)
- Haochen Qi
- College of Electrical and Electronic Engineering,
Wenzhou University, Wenzhou 325035,
China
| | - Zhiwen Hu
- School of Computer and Information Engineering,
Zhejiang Gongshang University, Hangzhou 310018,
China
| | - Zhongliang Yang
- Department of Electronic Engineering,
Tsinghua University, Beijing 100084,
China
| | - Jian Zhang
- College of Electrical and Electronic Engineering,
Wenzhou University, Wenzhou 325035,
China
- School of Food and Biological Engineering,
Hefei University of Technology, Hefei 230009,
China
| | - Jie Jayne Wu
- Department of Electrical Engineering and Computer
Science, The University of Tennessee, Knoxville, Tennessee
37996, United States
| | - Cheng Cheng
- Department of Engineering and Technology Management,
Morehead State University, Morehead, Kentucky 40351
United States
| | - Chunchang Wang
- Laboratory of Dielectric Functional Materials, School of
Materials Physics and Engineering, Anhui University, Hefei
230601, China
| | - Lei Zheng
- School of Food and Biological Engineering,
Hefei University of Technology, Hefei 230009,
China
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13
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Peng Y, Lin C, Li Y, Gao Y, Wang J, He J, Huang Z, Liu J, Luo X, Yang Y. Identifying infectiousness of SARS-CoV-2 by ultra-sensitive SnS 2 SERS biosensors with capillary effect. MATTER 2022; 5:694-709. [PMID: 34957388 PMCID: PMC8686209 DOI: 10.1016/j.matt.2021.11.028] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 10/22/2021] [Accepted: 11/25/2021] [Indexed: 05/09/2023]
Abstract
The current COVID-19 pandemic urges us to develop ultra-sensitive surface-enhanced Raman scattering (SERS) substrates to identify the infectiousness of SARS-CoV-2 virions in actual environments. Here, a micrometer-sized spherical SnS2 structure with the hierarchical nanostructure of "nano-canyon" morphology was developed as semiconductor-based SERS substrate, and it exhibited an extremely low limit of detection of 10-13 M for methylene blue, which is one of the highest sensitivities among the reported pure semiconductor-based SERS substrates. Such ultra-high SERS sensitivity originated from the synergistic enhancements of the molecular enrichment caused by capillary effect and the charge transfer chemical enhancement boosted by the lattice strain and sulfur vacancies. The novel two-step SERS diagnostic route based on the ultra-sensitive SnS2 substrate was presented to diagnose the infectiousness of SARS-CoV-2 through the identification standard of SERS signals for SARS-CoV-2 S protein and RNA, which could accurately identify non-infectious lysed SARS-CoV-2 virions in actual environments, whereas the current PCR methods cannot.
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Affiliation(s)
- Yusi Peng
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People's Republic of China
- University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chenglong Lin
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People's Republic of China
- University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanyan Li
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People's Republic of China
- University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yong Gao
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Jing Wang
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Jun He
- Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui 12560, China
- Public Health Research Institute of Anhui Province, Hefei, Anhui 12560, China
| | - Zhengren Huang
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People's Republic of China
| | - Jianjun Liu
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People's Republic of China
| | - Xiaoying Luo
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200032, China
| | - Yong Yang
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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14
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Sarubbo F, El Haji K, Vidal-Balle A, Bargay Lleonart J. Neurological consequences of COVID-19 and brain related pathogenic mechanisms: A new challenge for neuroscience. Brain Behav Immun Health 2022; 19:100399. [PMID: 34870247 PMCID: PMC8629776 DOI: 10.1016/j.bbih.2021.100399] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 11/26/2021] [Accepted: 11/26/2021] [Indexed: 12/15/2022] Open
Abstract
Due to the infection by the SARS-CoV-2 virus (COVID-19) there were also reported neurological symptoms, being the most frequent and best cited those that affect the cerebrovascular, sensorial, cognitive and motor functions, together with the neurological diffuse symptoms as for examples headache or dizziness. Besides, some of them behave high risk of mortality. Consequently, it is crucial to elucidate the mechanisms of action in brain of SARS-CoV-2 virus in order to create new therapeutic targets to fight against this new disease. Since now the mechanisms of arrival to the brain seems to be related with the following processes: blood brain barrier (BBB) disruption together with nervous or axonal transport of the virus by the trigeminal nerve, the vagus nerve, or the brain-gut-axis. Being two the mechanisms of brain affectation most cited: a direct affectation of the virus in the brain through neuroinvasion and an indirect mechanism of action due to the effects of the systemic infection. Both processes include the triggering of inflammation, hypoxia and the increased likelihood of secondary infections. This topic supposes a major novel challenge for neuroscience. Therefore, the aim of this review is to provide summarized information about the neurological symptomatology and the brain pathogenic mechanisms involved and reported in COVID-19.
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Affiliation(s)
- Fiorella Sarubbo
- Research Unit, University Hospital Son Llàtzer, Health Research Institute of the Balearic Islands (IdISBa), Crta, Manacor Km 4, 07198, Palma, Spain
- University of the Balearic Islands (UIB), Biology Department, Mallorca, Spain
- University of the Balearic Islands (UIB), Medicine Faculty, Mallorca, Spain
| | - Khaoulah El Haji
- Research Unit, University Hospital Son Llàtzer, Health Research Institute of the Balearic Islands (IdISBa), Crta, Manacor Km 4, 07198, Palma, Spain
| | - Aina Vidal-Balle
- Research Unit, University Hospital Son Llàtzer, Health Research Institute of the Balearic Islands (IdISBa), Crta, Manacor Km 4, 07198, Palma, Spain
| | - Joan Bargay Lleonart
- Research Unit, University Hospital Son Llàtzer, Health Research Institute of the Balearic Islands (IdISBa), Crta, Manacor Km 4, 07198, Palma, Spain
- University of the Balearic Islands (UIB), Medicine Faculty, Mallorca, Spain
- Hematology Department, University Hospital Son Llàtzer, Crta, Manacor Km 4, 07198, Palma, Spain
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15
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Soares JC, Soares AC, Angelim MKSC, Proença-Modena JL, Moraes-Vieira PM, Mattoso LHC, Oliveira ON. Diagnostics of SARS-CoV-2 infection using electrical impedance spectroscopy with an immunosensor to detect the spike protein. Talanta 2021; 239:123076. [PMID: 34876273 PMCID: PMC8607795 DOI: 10.1016/j.talanta.2021.123076] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 11/09/2021] [Accepted: 11/16/2021] [Indexed: 11/04/2022]
Abstract
Mass testing for the diagnostics of COVID-19 has been hampered in many countries owing to the high cost of the methodologies to detect genetic material of SARS-CoV-2. In this paper, we report on a low-cost immunosensor capable of detecting the spike protein of SARS-CoV-2, including in samples of inactivated virus. Detection is performed with electrical impedance spectroscopy using an immunosensor that contains a monolayer film of carboxymethyl chitosan as matrix, coated with an active layer of antibodies specific to the spike protein. In addition to a low limit of detection of 0.179 fg/mL within an almost linear behavior from 10−20 g/mL to 10−14 g/mL, the immunosensor was highly selective. For the samples with the spike protein could be distinguished in multidimensional projection plots from samples with other biomarkers and analytes that could be interfering species for healthy and infected patients. The excellent analytical performance of the immunosensors was validated with the distinction between control samples and those containing inactivated SARS-CoV-2 at different concentrations. The mechanism behind the immunosensor performance is the specific antibody-protein interaction, as confirmed with the changes induced in C–H stretching and protein bands in polarization-modulated infrared reflection absorption spectra (PM-IRRAS). Because impedance spectroscopy measurements can be made with low-cost portable instruments, the immunosensor proposed here can be applied in point-of-care diagnostics for mass testing even in places with limited resources.
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Affiliation(s)
- Juliana C Soares
- São Carlos Institute of Physics (IFSC), University of São Paulo (USP), 13566-590, São Carlos, Brazil
| | - Andrey C Soares
- Nanotechnology National Laboratory for Agriculture (LNNA), Embrapa Instrumentação, 13560-970, São Carlos, SP, Brazil
| | - Monara Kaelle S C Angelim
- Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, 13083-862, Campinas, SP, Brazil
| | - Jose Luiz Proença-Modena
- Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, 13083-862, Campinas, SP, Brazil; Experimental Medicine Research Cluster (EMRC), University of Campinas, 13083-862, Campinas, SP, Brazil
| | - Pedro M Moraes-Vieira
- Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, 13083-862, Campinas, SP, Brazil; Experimental Medicine Research Cluster (EMRC), University of Campinas, 13083-862, Campinas, SP, Brazil; Obesity and Comorbilities Research Center (OCRC), University of Campinas, 13083-862, Campinas, SP, Brazil
| | - Luiz H C Mattoso
- Nanotechnology National Laboratory for Agriculture (LNNA), Embrapa Instrumentação, 13560-970, São Carlos, SP, Brazil
| | - Osvaldo N Oliveira
- São Carlos Institute of Physics (IFSC), University of São Paulo (USP), 13566-590, São Carlos, Brazil.
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16
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Mirzajani H, Cheng C, Vafaie RH, Wu J, Chen J, Eda S, Aghdam EN, Ghavifekr HB. Optimization of ACEK-enhanced, PCB-based biosensor for highly sensitive and rapid detection of bisphenol a in low resource settings. Biosens Bioelectron 2021; 196:113745. [PMID: 34753078 DOI: 10.1016/j.bios.2021.113745] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 10/18/2021] [Accepted: 10/28/2021] [Indexed: 11/02/2022]
Abstract
In this study, we developed a low-cost and easy-to-use capacitive biosensor employing printed-circuit-board (PCB)-based technique for electrode fabrication and a specific alternative current (AC) signal for AC Electrokinetics (ACEK) effect excitation. Fast, accurate, and highly sensitive detection and quantification of bisphenol A (BPA) was achieved. An easy characterization of the biofunctionalization process is introduced by measuring interfacial capacitance which is simple and superior to most of methods currently in use. The frequency and amplitude of the AC signal used for capacitive interrogation were optimized to achieve maximum interfacial capacitance and maximum sensitivity. To evaluate the performance of the developed biosensor, its operation was compared with in-house microfabricated and commercially available electrodes. The limit-of-detection (LOD) obtained using the PCB-based electrodes was found to be at least one order of magnitude lower than that obtained with the commercial and in-house microfabricated electrodes. The linear range for BPA detection was wide from 1 fM to 10 pM with an LOD of 109.5 aM and sample to result in 20s. The biosensor operation was validated by spike-and-recovery tests of BPA using commercial food samples. Thus, the platform has a potential as an on-site detection of bisphenol A in low-resource settings.
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Affiliation(s)
- Hadi Mirzajani
- The University of Tennessee, Knoxville, Department of Electrical Engineering and Computer Science, 1520 Middle Drive, Knoxville, TN, 37966, USA; Department of Mechanical Engineering, Koç University, Rumelifeneri Yolu, Sarıyer, 34450 Istanbul, Turkey; Sahand University of Technology, Department of Electrical Engineering, Microelectronics Research Lab., Tabriz, Iran
| | - Cheng Cheng
- The University of Tennessee, Knoxville, Department of Electrical Engineering and Computer Science, 1520 Middle Drive, Knoxville, TN, 37966, USA; School of Engineering and Computer Science, Morehead State University, 150 University Blvd., Morehead, KY, 40351, USA
| | | | - Jayne Wu
- The University of Tennessee, Knoxville, Department of Electrical Engineering and Computer Science, 1520 Middle Drive, Knoxville, TN, 37966, USA.
| | - Jiangang Chen
- The University of Tennessee, Department of Public Health, 1914 Andy Holt Avenue, Knoxville, TN, 37996, USA
| | - Shigotoshi Eda
- University of Tennessee Institute of Agriculture, Department of Forestry, Wildlife and Fisheries, 2505 E. J. Chapman Drive, Knoxville, TN, 37996, USA
| | - Esmaeil Najafi Aghdam
- Sahand University of Technology, Department of Electrical Engineering, Microelectronics Research Lab., Tabriz, Iran
| | - Habib Badri Ghavifekr
- Sahand University of Technology, Department of Electrical Engineering, Microelectronics Research Lab., Tabriz, Iran
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