1
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Gao F, Ye S, Huang L, Gu Z. A nanoparticle-assisted signal-enhancement technique for lateral flow immunoassays. J Mater Chem B 2024; 12:6735-6756. [PMID: 38920348 DOI: 10.1039/d4tb00865k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
Lateral flow immunoassay (LFIA), an affordable and rapid paper-based detection technology, is employed extensively in clinical diagnosis, environmental monitoring, and food safety analysis. The COVID-19 pandemic underscored the validity and adoption of LFIA in performing large-scale clinical and public health testing. The unprecedented demand for prompt diagnostic responses and advances in nanotechnology have fueled the rise of next-generation LFIA technologies. The utilization of nanoparticles to amplify signals represents an innovative approach aimed at augmenting LFIA sensitivity. This review probes the nanoparticle-assisted amplification strategies in LFIA applications to secure low detection limits and expedited response rates. Emphasis is placed on comprehending the correlation between the physicochemical properties of nanoparticles and LFIA performance. Lastly, we shed light on the challenges and opportunities in this prolific field.
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Affiliation(s)
- Fang Gao
- Institute of Energy Materials Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
| | - Shaonian Ye
- Institute of Energy Materials Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
| | - Lin Huang
- Department of Clinical Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
- Shanghai Institute of Thoracic Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Zhengying Gu
- Department of Clinical Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
- Shanghai Institute of Thoracic Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
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2
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Wang Y, Chen J, Zhang Y, Yang Z, Zhang K, Zhang D, Zheng L. Advancing Microfluidic Immunity Testing Systems: New Trends for Microbial Pathogen Detection. Molecules 2024; 29:3322. [PMID: 39064900 PMCID: PMC11279515 DOI: 10.3390/molecules29143322] [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: 06/06/2024] [Revised: 07/10/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024] Open
Abstract
Pathogenic microorganisms play a crucial role in the global disease burden due to their ability to cause various diseases and spread through multiple transmission routes. Immunity tests identify antigens related to these pathogens, thereby confirming past infections and monitoring the host's immune response. Traditional pathogen detection methods, including enzyme-linked immunosorbent assays (ELISAs) and chemiluminescent immunoassays (CLIAs), are often labor-intensive, slow, and reliant on sophisticated equipment and skilled personnel, which can be limiting in resource-poor settings. In contrast, the development of microfluidic technologies presents a promising alternative, offering automation, miniaturization, and cost efficiency. These advanced methods are poised to replace traditional assays by streamlining processes and enabling rapid, high-throughput immunity testing for pathogens. This review highlights the latest advancements in microfluidic systems designed for rapid and high-throughput immunity testing, incorporating immunosensors, single molecule arrays (Simoas), a lateral flow assay (LFA), and smartphone integration. It focuses on key pathogenic microorganisms such as SARS-CoV-2, influenza, and the ZIKA virus (ZIKV). Additionally, the review discusses the challenges, commercialization prospects, and future directions to advance microfluidic systems for infectious disease detection.
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Affiliation(s)
- Yiran Wang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Jingwei Chen
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Yule Zhang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Zhijin Yang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Kaihuan Zhang
- 2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - Dawei Zhang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China
| | - Lulu Zheng
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai 200093, China
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3
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Xiong LH, Wang J, Yang F, Tang BZ, He X. Synchronously Sensitive Immunoassay and Efficient Inactivation of Living Zika Virus via DNAzyme Catalytic Amplification and In Situ Aggregation-Induced Emission Photosensitizer Generation. Anal Chem 2024; 96:9244-9253. [PMID: 38773697 DOI: 10.1021/acs.analchem.4c01500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2024]
Abstract
Sensitive identification and effective inactivation of the virus are paramount for the early diagnosis and treatment of viral infections to prevent the risk of secondary transmission of viruses in the environment. Herein, we developed a novel two-step fluorescence immunoassay using antibody/streptavidin dual-labeled polystyrene nanobeads and biotin-labeled G-quadruplex/hemin DNAzymes with peroxidase-mimicking activity for sensitive quantitation and efficient inactivation of living Zika virus (ZIKV). The dual-labeled nanobeads can specifically bind ZIKV through E protein targeting and simultaneously accumulate DNAzymes, leading to the catalytic oxidation of Amplex Red indicators and generation of intensified aggregation-induced emission fluorescence signals, with a detection limit down to 66.3 PFU/mL and 100% accuracy. Furthermore, robust reactive oxygen species generated in situ by oxidized Amplex Red upon irradiation can completely kill the virus. This sensitive and efficient detection-inactivation integrated system will expand the viral diagnostic tools and reduce the risk of virus transmission in the environment.
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Affiliation(s)
- Ling-Hong Xiong
- School of Public Health, Suzhou Medical College of Soochow University, Soochow University, Suzhou 215123, China
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Jiao Wang
- Department of Public Health Laboratory Sciences, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China
| | - Fan Yang
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Ben Zhong Tang
- School of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Guangdong 518172, China
| | - Xuewen He
- The Key Lab of Health Chemistry and Molecular Diagnosis of Suzhou, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, China
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4
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Liu G, Wang J, Wang J, Cui X, Wang K, Chen M, Yang Z, Gao A, Shen Y, Zhang Q, Gao G, Cui D. Deep-learning assisted zwitterionic magnetic immunochromatographic assays for multiplex diagnosis of biomarkers. Talanta 2024; 273:125868. [PMID: 38458085 DOI: 10.1016/j.talanta.2024.125868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/29/2024] [Accepted: 03/01/2024] [Indexed: 03/10/2024]
Abstract
Magnetic nanoparticle (MNP)-based immunochromatographic tests (ICTs) display long-term stability and an enhanced capability for multiplex biomarker detection, surpassing conventional gold nanoparticles (AuNPs) and fluorescence-based ICTs. In this study, we innovatively developed zwitterionic silica-coated MNPs (MNP@Si-Zwit/COOH) with outstanding antifouling capabilities and effectively utilised them for the simultaneous identification of the nucleocapsid protein (N protein) of the severe acute respiratory syndrome coronavirus (SARS-CoV-2) and influenza A/B. The carboxyl-functionalised MNPs with 10% zwitterionic ligands (MNP@Si-Zwit 10/COOH) exhibited a wide linear dynamic detection range and the most pronounced signal-to-noise ratio when used as probes in the ICT. The relative limit of detection (LOD) values were achieved in 12 min by using a magnetic assay reader (MAR), with values of 0.0062 ng/mL for SARS-CoV-2 and 0.0051 and 0.0147 ng/mL, respectively, for the N protein of influenza A and influenza B. By integrating computer vision and deep learning to enhance the image processing of immunoassay results for multiplex detection, a classification accuracy in the range of 0.9672-0.9936 was achieved for evaluating the three proteins at concentrations of 0, 0.1, 1, and 10 ng/mL. The proposed MNP-based ICT for the multiplex diagnosis of biomarkers holds substantial promise for applications in both medical institutions and self-administered diagnostic settings.
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Affiliation(s)
- Guan Liu
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Junhao Wang
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Jiulin Wang
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Xinyuan Cui
- Radiology Department of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Second Road, Shanghai, 200025, PR China
| | - Kan Wang
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Mingrui Chen
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Ziyang Yang
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Ang Gao
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Yulan Shen
- Department of Radiology, Huashan Hospital Affiliated to Fudan University, PR China.
| | - Qian Zhang
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China.
| | - Guo Gao
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China.
| | - Daxiang Cui
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China; National Engineering Research Center for Nanotechnology, Shanghai, 200241, PR China; Henan Medical School, Henan University, Henan, 475004, PR China.
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5
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Liang R, Fan A, Wang F, Niu Y. Optical lateral flow assays in early diagnosis of SARS-CoV-2 infection. ANAL SCI 2024:10.1007/s44211-024-00596-6. [PMID: 38758251 DOI: 10.1007/s44211-024-00596-6] [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: 01/08/2024] [Accepted: 05/08/2024] [Indexed: 05/18/2024]
Abstract
So far, the 2019 novel coronavirus (COVID-19) is spreading widely worldwide. The early diagnosis of infection by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is essential to provide timely treatment and prevent its further spread. Lateral flow assays (LFAs) have the advantages of rapid detection, simple operation, low cost, ease of mass production, and no need for special devices and professional operators, which make them suitable for self-testing at home. This review focuses on the early diagnosis of SARS-CoV-2 infection based on optical LFAs including colorimetric, fluorescent (FL), chemiluminescent (CL), and surface-enhanced Raman scattering (SERS) LFAs for the detection of SARS-CoV-2 antigens and nucleic acids. The types of recognition components, detection modes used for antigen detection, labels employed in different optical LFAs, and strategies to improve the detection sensitivity of LFAs were reviewed. Meanwhile, LFAs coupled with different nucleic acid amplification techniques and CRISPR-Cas systems for the detection of SARS-CoV-2 nucleic acids were summarized. We hope this review provides research mentalities for developing highly sensitive LFAs that can be used in home self-testing for the early diagnosis of SARS-CoV-2 infection.
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Affiliation(s)
- Rushi Liang
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, 300072, People's Republic of China
| | - Aiping Fan
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, 300072, People's Republic of China.
| | - Feiqian Wang
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, 300072, People's Republic of China
| | - Yajing Niu
- Beijing Pharma and Biotech Center, Beijing, 100035, People's Republic of China.
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Wang M, Jin L, Hang-Mei Leung P, Wang-Ngai Chow F, Zhao X, Chen H, Pan W, Liu H, Li S. Advancements in magnetic nanoparticle-based biosensors for point-of-care testing. Front Bioeng Biotechnol 2024; 12:1393789. [PMID: 38725992 PMCID: PMC11079239 DOI: 10.3389/fbioe.2024.1393789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 04/09/2024] [Indexed: 05/12/2024] Open
Abstract
The significance of point-of-care testing (POCT) in early clinical diagnosis and personalized patient care is increasingly recognized as a crucial tool in reducing disease outbreaks and improving patient survival rates. Within the realm of POCT, biosensors utilizing magnetic nanoparticles (MNPs) have emerged as a subject of substantial interest. This review aims to provide a comprehensive evaluation of the current landscape of POCT, emphasizing its growing significance within clinical practice. Subsequently, the current status of the combination of MNPs in the Biological detection has been presented. Furthermore, it delves into the specific domain of MNP-based biosensors, assessing their potential impact on POCT. By combining existing research and spotlighting pivotal discoveries, this review enhances our comprehension of the advancements and promising prospects offered by MNP-based biosensors in the context of POCT. It seeks to facilitate informed decision-making among healthcare professionals and researchers while also promoting further exploration in this promising field of study.
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Affiliation(s)
- Miaomiao Wang
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Lian Jin
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Polly Hang-Mei Leung
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Franklin Wang-Ngai Chow
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Xiaoni Zhao
- Guangzhou Wanfu Biotechnology Company, Guangzhou, China
| | - Hui Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Wenjing Pan
- Hengyang Medical School, University of South China, Hengyang, China
| | - Hongna Liu
- Hengyang Medical School, University of South China, Hengyang, China
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
- Hengyang Medical School, University of South China, Hengyang, China
- National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hunan Provincial Maternal and Child Healthcare Hospital, Changsha, China
- Key Laboratory of Rare Pediatric Diseases, Ministry of Education, University of South China, Hengyang, China
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7
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Kim MJ, Haizan I, Ahn MJ, Park DH, Choi JH. Recent Advances in Lateral Flow Assays for Viral Protein Detection with Nanomaterial-Based Optical Sensors. BIOSENSORS 2024; 14:197. [PMID: 38667190 PMCID: PMC11048458 DOI: 10.3390/bios14040197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 04/12/2024] [Accepted: 04/15/2024] [Indexed: 04/28/2024]
Abstract
Controlling the progression of contagious diseases is crucial for public health management, emphasizing the importance of early viral infection diagnosis. In response, lateral flow assays (LFAs) have been successfully utilized in point-of-care (POC) testing, emerging as a viable alternative to more traditional diagnostic methods. Recent advancements in virus detection have primarily leveraged methods such as reverse transcription-polymerase chain reaction (RT-PCR), reverse transcription-loop-mediated isothermal amplification (RT-LAMP), and the enzyme-linked immunosorbent assay (ELISA). Despite their proven effectiveness, these conventional techniques are often expensive, require specialized expertise, and consume a significant amount of time. In contrast, LFAs utilize nanomaterial-based optical sensing technologies, including colorimetric, fluorescence, and surface-enhanced Raman scattering (SERS), offering quick, straightforward analyses with minimal training and infrastructure requirements for detecting viral proteins in biological samples. This review describes the composition and mechanism of and recent advancements in LFAs for viral protein detection, categorizing them into colorimetric, fluorescent, and SERS-based techniques. Despite significant progress, developing a simple, stable, highly sensitive, and selective LFA system remains a formidable challenge. Nevertheless, an advanced LFA system promises not only to enhance clinical diagnostics but also to extend its utility to environmental monitoring and beyond, demonstrating its potential to revolutionize both healthcare and environmental safety.
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Affiliation(s)
- Min Jung Kim
- School of Chemical Engineering, Clean Energy Research Center, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, Jeollabuk-do, Republic of Korea; (M.J.K.); (D.-H.P.)
| | - Izzati Haizan
- Department of Bioprocess Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, Jeollabuk-do, Republic of Korea;
| | - Min Ju Ahn
- Department of Biotechnology, Jeonbuk National University, 79 Gobongro, Iksan-si 54596, Jeollabuk-do, Republic of Korea;
| | - Dong-Hyeok Park
- School of Chemical Engineering, Clean Energy Research Center, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, Jeollabuk-do, Republic of Korea; (M.J.K.); (D.-H.P.)
| | - Jin-Ha Choi
- School of Chemical Engineering, Clean Energy Research Center, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, Jeollabuk-do, Republic of Korea; (M.J.K.); (D.-H.P.)
- Department of Bioprocess Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, Jeollabuk-do, Republic of Korea;
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8
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Zeng Y, Gan X, Xu Z, Hu X, Hu C, Ma H, Tu H, Chai B, Yang C, Hu S, Chai Y. AIEgens-enhanced rapid sensitive immunofluorescent assay for SARS-CoV-2 with digital microfluidics. Anal Chim Acta 2024; 1298:342398. [PMID: 38462346 DOI: 10.1016/j.aca.2024.342398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 02/14/2024] [Accepted: 02/20/2024] [Indexed: 03/12/2024]
Abstract
BACKGROUND Sensitive and rapid antigen detection is critical for the diagnosis and treatment of infectious diseases, but conventional ELISAs including chemiluminescence-based assays are limited in sensitivity and require many operation steps. Fluorescence immunoassays are fast and convenient but often show limited sensitivity and dynamic range. RESULTS To address the need, an aggregation-induced emission fluorgens (AIEgens) enhanced immunofluorescent assay with beads-based quantification on the digital microfluidic (DMF) platform was developed. Portable DMF devices and chips with small electrodes were fabricated, capable of manipulating droplets within 100 nL and boosting the reaction efficiency. AIEgen nanoparticles (NPs) with high fluorescence and photostability were synthesized to enhance the test sensitivity and detection range. The integration of AIEgen probes, transparent DMF chip design, and the large magnetic beads (10 μm) as capture agents enabled rapid and direct image-taking and signal calculation of the test result. The performance of this platform was demonstrated by point-of-care quantification of SARS-CoV-2 nucleocapsid (N) protein. Within 25 min, a limit of detection of 5.08 pg mL-1 and a limit of quantification of 8.91 pg mL-1 can be achieved using <1 μL sample. The system showed high reproducibility across the wide dynamic range (10-105 pg mL-1), with the coefficient of variance ranging from 2.6% to 9.8%. SIGNIFICANCE This rapid, sensitive AIEgens-enhanced immunofluorescent assay on the DMF platform showed simplified reaction steps and improved performance, providing insight into the small-volume point-of-care testing of different biomarkers in research and clinical applications.
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Affiliation(s)
- Yuping Zeng
- Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
| | - Xiangyu Gan
- Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
| | - Zhourui Xu
- Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
| | - Xiaoxiang Hu
- Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
| | - Chenxuan Hu
- CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
| | - Hanbin Ma
- CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China; Guangdong ACXEL Micro & Nano Tech Co., Ltd, Foshan, Guangdong province, China.
| | - Hangjia Tu
- Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
| | - Bao Chai
- Department of Dermatology, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, 518052, China; Department of Dermatology, The 6th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, 518052, China.
| | - Chengbin Yang
- Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
| | - Siyi Hu
- CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
| | - Yujuan Chai
- Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
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9
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Deenin W, Khongchareonporn N, Ruxrungtham K, Ketloy C, Hirankarn N, Wangkanont K, Rengpipat S, Yakoh A, Chaiyo S. Overlaid Lateral Flow Immunoassay for the Simultaneous Detection of Two Variant-Specific SARS-CoV-2 Neutralizing Antibodies. Anal Chem 2024; 96:5407-5415. [PMID: 38478766 PMCID: PMC11270523 DOI: 10.1021/acs.analchem.3c05144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 02/12/2024] [Accepted: 02/26/2024] [Indexed: 04/10/2024]
Abstract
COVID-19 vaccines have been provided to the general public to build immunity since the 2019 coronavirus pandemic. Once vaccinated, SARS-CoV-2 neutralizing antibodies (NAbs-COVID-19) are needed for excellent protection against COVID-19. However, monitoring NAbs-COVID-19 is complicated and requires hospital visits. Moreover, the resulting NAbs-COVID-19 are effective against different strains of COVID-19 depending on the type of vaccine received. Here, an overlaid lateral flow immunoassay (O-LFIA) was developed for the simultaneous detection of two NAbs-COVID-19 against different virus strains, Delta and Omicron. The O-LFIA was visualized with two T-lines with a single device using competition between the free antigen and the antigen-binding antibody. Angiotensin-converting enzyme 2 (ACE2) immobilized on the T-line binds to the antigen remaining after antibody binding. Under the optimum conditions, the proposed device exhibited 50% inhibition concentrations (IC50 values) of 45.1 and 53.6 ng/mL for the Delta and Omicron variants, respectively. Additionally, the proposed platform was applied to real-world samples of animal and human serum, and the developed immunoassay provided results that were in good agreement with those obtained with the standard method. In conclusion, this developed O-LFIA can be used as an alternative method to detect NAbs-COVID-19 and can be enabled for future advancements toward commercialization.
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Affiliation(s)
- Wanwisa Deenin
- Program
in Biotechnology, Faculty of Science, Chulalongkorn
University, Bangkok 10330, Thailand
- Institute
of Biotechnology and Genetic Engineering, Chulalongkorn University, Bangkok 10330, Thailand
| | - Nanthika Khongchareonporn
- Institute
of Biotechnology and Genetic Engineering, Chulalongkorn University, Bangkok 10330, Thailand
- Center
of Excellence for Food and Water Risk Analysis (FAWRA), Department
of Veterinary Public Health, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Kiat Ruxrungtham
- Center
of Excellence in Vaccine Research and Development (Chula VRC), Faculty
of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Integrated
Frontier Biotechnology for Emerging Disease, Chulalongkorn University, Bangkok 10330, Thailand
- Department
of Medicine, and School of Global Health, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Chutitorn Ketloy
- Center
of Excellence in Vaccine Research and Development (Chula VRC), Faculty
of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Integrated
Frontier Biotechnology for Emerging Disease, Chulalongkorn University, Bangkok 10330, Thailand
- Department
of Laboratory Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Nattiya Hirankarn
- Department
of Microbiology, Faculty of Medicine, Chulalongkorn
University, Bangkok 10330, Thailand
| | - Kittikhun Wangkanont
- Center
of Excellence for Molecular Biology and Genomics of Shrimp, Department
of Biochemistry, Faculty of Science, Chulalongkorn
University, Bangkok 10330, Thailand
- Center
of Excellence for Molecular Crop, Department of Biochemistry, Faculty
of Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Sirirat Rengpipat
- Qualified
Diagnostic Development Center (QDD), Chulalongkorn
University, Bangkok 10330, Thailand
| | - Abdulhadee Yakoh
- Institute
of Biotechnology and Genetic Engineering, Chulalongkorn University, Bangkok 10330, Thailand
- Center
of Excellence for Food and Water Risk Analysis (FAWRA), Department
of Veterinary Public Health, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Sudkate Chaiyo
- Institute
of Biotechnology and Genetic Engineering, Chulalongkorn University, Bangkok 10330, Thailand
- Center
of Excellence for Food and Water Risk Analysis (FAWRA), Department
of Veterinary Public Health, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
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10
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Li J, Guan R, Wuethrich A, Yan M, Cheng J, Liu G, Zhan J, Trau M, Sun Y. High Accuracy of Clinical Verification of Electrohydrodynamic-Driven Nanobox-on-Mirror Platform for Molecular Identification of Respiratory Viruses. Anal Chem 2024; 96:4495-4504. [PMID: 38445954 DOI: 10.1021/acs.analchem.3c05120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
The molecular detection of multiple respiratory viruses provides evidence for the rational use of drugs and effective health management. Herein, we developed and tested the clinical performance of an electrohydrodynamic-driven nanobox-on-mirror platform (E-NoM) for the parallel, accurate, and sensitive detection of four respiratory viral antigens. The E-NoM platform uses gold-silver alloy nanoboxes as the core material with the deposition of a silver layer as a shell on the core surfaces to amplify and enable a reproducible Raman signal readout that facilitates accurate detection. Additionally, the E-NoM platform employs gold microelectrode arrays as the mirror with electrohydrodynamics to manipulate the fluid flow and enhance molecular interactions for an improved biosensing response. The presence of viral antigens binds the nanobox-based core-shell nanostructure on the gold microelectrode and creates the nanocavity with extremely strong "hot spots" to benefit sensitive analysis. Significantly, in a large clinical cohort with 227 patients, the designed E-NoM platform demonstrates the capability of screening respiratory infection with achieved clinical specificity, sensitivity, and accuracy of 100.0, 96.48, and 96.91%, respectively. It is anticipated that the E-NoM platform can find a position in clinical usage for respiratory disease diagnosis.
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Affiliation(s)
- Junrong Li
- National Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Rui Guan
- National Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Alain Wuethrich
- Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Mingzhe Yan
- Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430023, P. R. China
| | - Jing Cheng
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430072, P. R. China
| | - Guorong Liu
- National Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Jianbo Zhan
- Institute of Health Inspection and Testing Hubei Provincial Center for Disease Control and Prevention, Wuhan 430072, P. R. China
| | - Matt Trau
- Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Yao Sun
- National Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
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11
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Medrano-Lopez JA, Villalpando I, Salazar MI, Torres-Torres C. Hierarchical Nanobiosensors at the End of the SARS-CoV-2 Pandemic. BIOSENSORS 2024; 14:108. [PMID: 38392027 PMCID: PMC10887370 DOI: 10.3390/bios14020108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 02/09/2024] [Accepted: 02/15/2024] [Indexed: 02/24/2024]
Abstract
Nanostructures have played a key role in the development of different techniques to attack severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Some applications include masks, vaccines, and biosensors. The latter are of great interest for detecting diseases since some of their features allowed us to find specific markers in secretion samples such as saliva, blood, and even tears. Herein, we highlight how hierarchical nanoparticles integrated into two or more low-dimensional materials present outstanding advantages that are attractive for photonic biosensing using their nanoscale functions. The potential of nanohybrids with their superlative mechanical characteristics together with their optical and optoelectronic properties is discussed. The progress in the scientific research focused on using nanoparticles for biosensing a variety of viruses has become a medical milestone in recent years, and has laid the groundwork for future disease treatments. This perspective analyzes the crucial information about the use of hierarchical nanostructures in biosensing for the prevention, treatment, and mitigation of SARS-CoV-2 effects.
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Affiliation(s)
- Jael Abigail Medrano-Lopez
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Ingeniería y Eléctrica, Unidad Zacatenco, Instituto Politécnico Nacional, Mexico City 07738, Mexico
| | - Isaela Villalpando
- Centro de Investigación para los Recursos Naturales, Salaices 33941, Mexico
| | - Ma Isabel Salazar
- Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City 11340, Mexico
| | - Carlos Torres-Torres
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Ingeniería y Eléctrica, Unidad Zacatenco, Instituto Politécnico Nacional, Mexico City 07738, Mexico
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12
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Zhu J, Lu H, Lin Q, Zhang T, Chen G, Zhou Y, Sui G. Fucoidan-based antibody-free magnetic nanoparticle for on-site detection of waterborne SARS-CoV-2. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 911:168619. [PMID: 37977397 DOI: 10.1016/j.scitotenv.2023.168619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 10/25/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023]
Abstract
The portable and sensitive point-of-care-test (POCT) method is in urgent need to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) for ensuring public health and safety. However, detection of trace number of pathogens in real water sample from the environment still faces challenges, because complex environment disruptors can rapidly degrade targets. Herein, magnetic beads coated with fucoidan and polydopamine (Fuc-PDA-MBs) were introduced as the capture carrier for pretreatment of samples. Fucoidan, a sulfated polysaccharide, can recognize the SARS-CoV-2 spike (S1) protein receptor-binding domain (S1 RBD) and was chosen for replacement of antibody in enrichment. Environmental water seeded with SARS-CoV-2 spike pseudovirus was applied to test performance of Fuc-PDA-MBs method. Under optimal conditions, the use of Fuc-PDA-MBs showed average 76 % capture efficiency at SARS-CoV-2 spike pseudovirus concentration ranging from 107.62 to 104.34 gene copies (gc)/L. Compared with Electronegative filtration (ENF), Fuc-PDA-MBs showed better virion sorption effectiveness. Fuc-PDA-MBs also validated by raw contaminated urban wastewater and showed high recovery results for SARS-CoV-2 variants. To rapidly detect virus in POCT, nucleic acid extraction-free Loop-Mediated Isothermal Amplification (LAMP) was used for simplifying experimental process. The Fuc-PDA-MBs-LAMP assay showed the quantitation limit of sample (LOQ) was 105.49 gc/L. The whole procedure could be completed within 90 min, including 30 min for virus pre-enrichment, 10 min nucleic acid release and 45 min LAMP analysis. Compared with regular antibody-based immunodetection, this integrated system provides broad-spectrum, economic way to detect SARS-CoV-2 mutants in complex environments and also adaptable for high throughput test, which might be used for on-site early warning of SARS-CoV-2 outbreaks in developing area.
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Affiliation(s)
- Jinhui Zhu
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, China
| | - Huijun Lu
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, China
| | - Qiuyuan Lin
- Department of Chemistry, Fudan University, Shanghai 200438, China
| | - Tong Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, China
| | - Guang Chen
- Shanghai Chengtou Wastewater Treatment Co., LtD., Shanghai 201203, China
| | - Yang Zhou
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, China
| | - Guodong Sui
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, China; Shanghai Institute of Infectious Disease and Biosecurity, Shanghai 200032, China.
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13
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Wang F, Li X, Liu Z, Zhao X, Zhao C, Hou G, Liu Q, Liu X. A Magnetic-Optical Triple-Mode Lateral Flow Immunoassay for Sensitive and Rapid Detection of Respiratory Adenovirus. Anal Chem 2024; 96:2059-2067. [PMID: 38258754 DOI: 10.1021/acs.analchem.3c04696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Human respiratory adenovirus (ADV) is a highly infectious respiratory virus with potential for pandemics. There are currently no specific drugs to treat ADV worldwide, so early rapid detection of ADV infection is essential. In this study, we developed an innovative magnetic-optical triple-mode lateral flow immunoassay (LFIA) using magnetic quantum dots as immunomarkers. This novel approach addresses the need for rapid and accurate ADV detection, allowing for multimodal quantitative/semiquantitative analysis of magnetic, fluorescent, and visible signals within a mere 15 min. The lower limit of detection (LOD) for magnetic, fluorescent, and visual signals was determined to be 5.6 × 103, 1.2 × 103, and 1.95 × 104 copies/mL, respectively. The detection range for ADV using this approach was 1.2 × 103-5 × 107 copies/mL. Additionally, semiquantitative analysis, which is user-friendly and does not necessitate specialized equipment, was successfully implemented. Notably, seven respiratory viruses showed no cross-reactivity with the generated LFIA test strips. The intrabatch repeatability exhibited a coefficient of variation (CV) of less than 5%, while the interbatch repeatability had a CV of less than 15%. Furthermore, recovery values ranged from 95% to 106.8% for samples analyzed concurrently with dual signals at the same spiking concentration. The assay developed in this study boasts a wide detection range and exceptional sensitivity and specificity. This technique is exceptionally well-suited for on-site rapid detection, with the potential for personal self-testing and early ADV infection diagnosis. Its versatility extends to a broad array of application scenarios.
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Affiliation(s)
- Fei Wang
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, PR China
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Xiaoyan Li
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Zhining Liu
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, PR China
| | - Xin Zhao
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, PR China
| | - Changxu Zhao
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Guangzheng Hou
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Qiqi Liu
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Xin Liu
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, PR China
- Jinzhou Medical University Huludao Central Hospital Teaching Base, Huludao 125001,PR China
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14
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Durdabak DB, Dogan S, Tekol SD, Celik C, Ozalp VC, Tuna BG. Direct Detection of Viral Infections from Swab Samples by Probe-Gated Silica Nanoparticle-Based Lateral Flow Assay. ChemistryOpen 2024; 13:e202300120. [PMID: 37824210 PMCID: PMC10853071 DOI: 10.1002/open.202300120] [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: 07/23/2023] [Revised: 09/11/2023] [Indexed: 10/14/2023] Open
Abstract
Point-of-care diagnosis is crucial to control the spreading of viral infections. Here, universal-modifiable probe-gated silica nanoparticles (SNPs) based lateral flow assay (LFA) is developed in the interest of the rapid and early detection of viral infections. The most superior advantage of the rapid assay is its utility in detecting various sides of the virus directly from the human swab samples and its adaptability to detect various types of viruses. For this purpose, a high concentration of fluorescein and rhodamine B as a reporting material was loaded into SNPs with excellent loading capacity and measured using standard curve, 4.19 μmol ⋅ g-1 and 1.23 μmol ⋅ g-1 , respectively. As a model organism, severe acute respiratory syndrome coronavirus-2 (CoV-2) infections were selected by targeting its nonstructural (NSP9, NSP12) and envelope (E) genes as target sites of the virus. We showed that NSP12-gated SNPs-based LFA significantly outperformed detection of viral infection in 15 minutes from 0.73 pg ⋅ mL-1 synthetic viral solution and with a dilution of 1 : 103 of unprocessed human samples with an increasing test line intensity compared to steady state (n=12). Compared to the RT-qPCR method, the sensitivity, specificity, and accuracy of NSP12-gated SNPs were calculated as 100 %, 83 %, and 92 %, respectively. Finally, this modifiable nanoparticle system is a high-performance sensing technique that could take advantage of upcoming point-of-care testing markets for viral infection detections.
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Affiliation(s)
- Dilara Buse Durdabak
- Department of Biophysics Faculty of MedicineYeditepe UniversityIstanbul34755Turkey
| | - Soner Dogan
- Department of Medical Biology Faculty of MedicineYeditepe UniversityIstanbul34755Turkey
| | - Serap Demir Tekol
- Department of Clinical MicrobiologyUniversity of Health Sciences Kartal Dr. Lutfi Kirdar City HospitalIstanbul34865Turkey
| | - Caner Celik
- Department of Emergency Medical ServiceMemorial Sisli HospitalIstanbulTurkey
| | - Veli Cengiz Ozalp
- Department of Medical Biology Faculty of MedicineAtilim UniversityAnkara06830Turkey
| | - Bilge Guvenc Tuna
- Department of Biophysics Faculty of MedicineYeditepe UniversityIstanbul34755Turkey
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15
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Dong Y, Yuan X, Zhuang K, Li Y, Luo X. Simultaneous and sensitive detection of SARS-CoV-2 proteins spike and nucleocapsid based on long-range SERS biosensor. Anal Chim Acta 2024; 1287:342070. [PMID: 38182376 DOI: 10.1016/j.aca.2023.342070] [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: 09/22/2023] [Revised: 11/23/2023] [Accepted: 11/25/2023] [Indexed: 01/07/2024]
Abstract
BACKGROUND Early diagnosis of SARS-CoV-2 infection is still critical to control COVID-19 outbreak. Traditional polymerase chain reaction, enzyme-linked immunosorbent assay or lateral flow immunoassay performed poorly on detection times, sample preparation process and accuracy. Surface-enhanced Raman scattering (SERS)-based detection has emerged as a powerful analytical technique, which overcomes the above limitations. However, due to the near-field effect of traditional substrate, it is difficult to monitor the binding event of aptamers with proteins. It is obvious that a novel SERS substrate thatsupportedextended and stronger electromagnetic fields was required to hold long-range effects and allow for binding event testing. RESULTS Driven by this challenge, we reported a long-range SERS-active substrate, which was built by inserting bowtie nanoaperture arrays in a refractive-index-symmetric environment and Au mirror surfaces, for SARS-CoV-2 protein binding event detection. Then, a double-π structure aptasensor was simply designed through the hybridization of spike (S) and nucleocapsid (N) proteins aptamers, and a corresponding complementary strand. This kind of double-π structure would dissociate when targets proteins S and N existed and led to the SERS responses decreased, which established the detection basis of our system. What's more, due to two Raman labels were involved, both proteins S and N can be sensed simultaneously. Our proposed method showed improved sensitivity with a low limit of detection for multiplex detection (1.6 × 10-16 g/mL for protein S and 1.0 × 10-16 g/mL for protein N) over a wide concentration range. SIGNIFICANCE This represents the first long-range SERS apatasensor platform for detection of S and N proteins simultaneously. Our method showed high sensitivity, selectivity, reproducibility, stability and remarkable recoveries in human in saliva and serum samples, which is particularly important for the early diagnostics of COVID as well as for future unknown coronavirus.
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Affiliation(s)
- Ying Dong
- School of Science, Xihua University, Chengdu, 610039, PR China
| | - Xue Yuan
- School of Science, Xihua University, Chengdu, 610039, PR China
| | - Kaiyi Zhuang
- School of Science, Xihua University, Chengdu, 610039, PR China
| | - Yuanyuan Li
- Shanghai Anti-Doping Laboratory, Shanghai University of Sport, Shanghai, 200438, PR China.
| | - Xiaojun Luo
- School of Science, Xihua University, Chengdu, 610039, PR China; Asymmetric Synthesis and Chiral Technology Key Laboratory of Sichuan Province, Chengdu, 610039, PR China.
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16
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Yu Q, Wu T, Tian B, Li J, Liu Y, Wu Z, Jin X, Wang C, Wang C, Gu B. Recent advances in SERS-based immunochromatographic assay for pathogenic microorganism diagnosis: A review. Anal Chim Acta 2024; 1286:341931. [PMID: 38049231 DOI: 10.1016/j.aca.2023.341931] [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: 07/27/2023] [Revised: 10/02/2023] [Accepted: 10/17/2023] [Indexed: 12/06/2023]
Abstract
Infectious diseases caused by bacteria, viruses, fungi, and other pathogenic microorganisms are among the most harmful public health problems in the world, causing tens of millions of deaths and incalculable economic losses every year. The establishment of rapid, simple, and highly sensitive diagnostic methods for pathogenic microorganisms is important for the prevention and control of infectious diseases, guidance of timely treatment, and the reduction of public safety risks. Lateral flow immunoassay (LFA) based on the colorimetric signal of colloidal gold is the most popular point-of-care testing technology at present, but it is limited by poor sensitivity and low throughput and hardly meets the needs of the highly sensitive screening of pathogenic microorganisms. In recent years, the combination of surface-enhanced Raman scattering (SERS) and LFA technology has developed into a novel analytical platform with high sensitivity and multiple detection capabilities and has shown great advantages in the detection of pathogenic microorganisms and infectious diseases. This review summarizes the working principle, design ideas, and application of the existing SERS-based LFA methods in pathogenic microorganism detection and further introduces the effect of new technologies such as Raman signal encoding, magnetic enrichment, novel membrane nanotags, and integrated Raman reading equipment on the performance of SERS-LFA. Finally, the main challenges and the future direction of development in this field of SERS-LFA are discussed.
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Affiliation(s)
- Qing Yu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China; College of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Ting Wu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Benshun Tian
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Jiaxuan Li
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Yun Liu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Zelan Wu
- Guangzhou Labway Clinical Laboratory Co., Ltd, Guangdong, 510000, China
| | - Xiong Jin
- Guangzhou Labway Clinical Laboratory Co., Ltd, Guangdong, 510000, China
| | - Chaoguang Wang
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073, China.
| | - Chongwen Wang
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China; College of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.
| | - Bing Gu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China.
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17
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Fan L, Yan W, Chen Q, Tan F, Tang Y, Han H, Yu R, Xie N, Gao S, Chen W, Chen Z, Zhang P. One-Component Dual-Readout Aggregation-Induced Emission Nanobeads for Qualitative and Quantitative Detection of C-Reactive Protein at the Point of Care. Anal Chem 2024; 96:401-408. [PMID: 38134291 DOI: 10.1021/acs.analchem.3c04441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
Fluorescent lateral flow immunoassay (LFA) systems are versatile tools for sensitive and quantitative detection of disease markers at the point of care. However, traditional fluorescent nanoparticle-based lateral flow immunoassays are not visible under room light, necessitate an additional fluorescent reader, and lack flexibility for different application scenarios. Herein, we report a dual-readout LFA system for the rapid and sensitive detection of C-reactive protein (CRP) in clinical samples. The system relied on the aggregation-induced emission nanobeads (AIENBs) encapsulated with red AIE luminogen, which possesses both highly fluorescent and colorimetric properties. The AIENB-based LFA in the naked-eye mode was able to qualitatively detect CRP levels as low as 8.0 mg/L, while in the fluorescent mode, it was able to quantitatively measure high-sensitivity CRP (hs-CRP) with a limit of detection of 0.16 mg/L. The AIENB-based LFA system also showed a good correlation with the clinically used immunoturbidimetric method for CRP and hs-CRP detection in human plasma. This dual-modal AIENB-based LFA system offers the convenience of colorimetric testing and highly sensitive and quantitative detection of disease biomarkers and medical diagnostics in various scenarios.
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Affiliation(s)
- Lingzhi Fan
- Department of Central Laboratory, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200443, China
| | - Wannian Yan
- Department of Central Laboratory, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200443, China
| | - Qilong Chen
- Department of Central Laboratory, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200443, China
| | - Fei Tan
- Department of Central Laboratory, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200443, China
| | - Yijie Tang
- Department of Central Laboratory, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200443, China
| | - Huanxing Han
- Department of Pharmacy, Changzheng Hospital, Naval Medical University, Shanghai 200003, China
| | - Rujia Yu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China
| | - Ni Xie
- AUISET Biotechnology Co., Ltd., Kwai Chung, New Territories, Hong Kong S.A.R. 000000, China
- AIEgen Biotech Co., Ltd., 28 Yee Wo Street, Causeway Bay, Hong Kong S.A.R. 000000, China
| | - Shouhong Gao
- Department of Pharmacy, Changzheng Hospital, Naval Medical University, Shanghai 200003, China
| | - Wansheng Chen
- Department of Pharmacy, Changzheng Hospital, Naval Medical University, Shanghai 200003, China
- The SATCM Key Laboratory for New Resources & Quality Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Zhongjian Chen
- Department of Central Laboratory, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200443, China
- Shanghai Engineering Research Center for External Chinese Medicine, Shanghai 200433, China
| | - Pengfei Zhang
- Department of Central Laboratory, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200443, China
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18
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Zhang G, Huang Z, Hu L, Wang Y, Deng S, Liu D, Peng J, Lai W. Molecular Engineering Powered Dual-Readout Point-of-Care Testing for Sensitive Detection of Escherichia coli O157:H7. ACS NANO 2023; 17:23723-23731. [PMID: 38009547 DOI: 10.1021/acsnano.3c07509] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Escherichia coli O157:H7 (E. coli O157:H7) has become one of the major threats to public health and food safety. However, the culture method as a gold standard for the detection of E. coli O157:H7 requires laborious operations and a long processing time. Herein, we developed a dual-readout aggregation-induced emission nanoparticle-based lateral flow immunoassay (LFIA) for sensitive detection of E. coli O157:H7 to achieve a qualitative and quantitative assay for satisfying the applications under varying scenarios. 2,3-Bis(4-(bis(4-(tert-butyl)phenyl)amino)phenyl)fumaronitrile (BAPF), an aggregation-induced emission luminogen, was designed to achieve a strong molar extinction coefficient (3.0 × 104 M-1 cm-1) and high quantum yield (33.28%), which was further verified by a large rotation angle and low energy gap. Subsequently, BAPFs were integrated into a nanostructured system to form excellent water-soluble nanoparticles (BAPFNPs) for the detection of E. coli O157:H7 with colorimetric and fluorescent readout. The designed BAPFNPs-based LFIA (BAPFNPs-LFIA) exhibited nearly qualitative ability with gold nanoparticles-LFIA (AuNPs-LFIA) and a 9 times enhancement compared with quantum beads-LFIA (QBs-LFIA) in quantitative aspect. Especially, FL-BAPFNPs-LFIA could detect E. coli O157:H7 earlier than QBs-LFIA and AuNPs-LFIA when samples with low E. coli O157:H7 concentrations were cultured. Overall, the proposed strategy revealed that versatile BAPFNPs have great potential as reporters for dual-readout ability and enhancing detection sensitivity for rapid and accurate pathogenic bacteria assay.
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Affiliation(s)
- Gan Zhang
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Zhen Huang
- National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, Shenzhen, Guangdong Province 518112, China
| | - Liwen Hu
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Yumeng Wang
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Shengliang Deng
- Institute of Microbiology, Jiangxi Academy of Sciences, 330096 Nanchang, China
| | - Daofeng Liu
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Province Center for Disease Control and Prevention, 555 East Beijing Road, Nanchang 330029, China
| | - Juan Peng
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Weihua Lai
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
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19
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Ding H, Zhang W, Wang SA, Li C, Li W, Liu J, Yu F, Tao Y, Cheng S, Xie H, Chen Y. A semi-quantitative upconversion nanoparticle-based immunochromatographic assay for SARS-CoV-2 antigen detection. Front Microbiol 2023; 14:1289682. [PMID: 38149276 PMCID: PMC10750388 DOI: 10.3389/fmicb.2023.1289682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/20/2023] [Indexed: 12/28/2023] Open
Abstract
The unprecedented public health and economic impact of the coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been met with an equally unprecedented scientific response. Sensitive point-of-care methods to detect SARS-CoV-2 antigens in clinical specimens are urgently required for the rapid screening of individuals with viral infection. Here, we developed an upconversion nanoparticle-based lateral flow immunochromatographic assay (UCNP-LFIA) for the high-sensitivity detection of SARS-CoV-2 nucleocapsid (N) protein. A pair of rabbit SARS-CoV-2 N-specific monoclonal antibodies was conjugated to UCNPs, and the prepared UCNPs were then deposited into the LFIA test strips for detecting and capturing the N protein. Under the test conditions, the limit of detection (LOD) of UCNP-LFIA for the N protein was 3.59 pg/mL, with a linear range of 0.01-100 ng/mL. Compared with that of the current colloidal gold-based LFIA strips, the LOD of the UCNP-LFIA-based method was increased by 100-fold. The antigen recovery rate of the developed method in the simulated pharyngeal swab samples ranged from 91.1 to 117.3%. Furthermore, compared with the reverse transcription-polymerase chain reaction, the developed UCNP-LFIA method showed a sensitivity of 94.73% for 19 patients with COVID-19. Thus, the newly established platform could serve as a promising and convenient fluorescent immunological sensing approach for the efficient screening and diagnosis of COVID-19.
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Affiliation(s)
- Hai Ding
- Department of Laboratory Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Wanying Zhang
- Department of Laboratory Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Shu-an Wang
- Department of Clinic Nutrition, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Chuang Li
- Department of Laboratory Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Wanting Li
- Department of Laboratory Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jing Liu
- Polariton Life Technologies Ltd., Soochow, Jiangsu, China
| | - Fang Yu
- Polariton Life Technologies Ltd., Soochow, Jiangsu, China
| | - Yanru Tao
- Polariton Life Technologies Ltd., Soochow, Jiangsu, China
| | - Siyun Cheng
- Department of Laboratory Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hui Xie
- Department of Laboratory Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yuxin Chen
- Department of Laboratory Medicine, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
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20
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Lee S, Bi L, Chen H, Lin D, Mei R, Wu Y, Chen L, Joo SW, Choo J. Recent advances in point-of-care testing of COVID-19. Chem Soc Rev 2023; 52:8500-8530. [PMID: 37999922 DOI: 10.1039/d3cs00709j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2023]
Abstract
Advances in microfluidic device miniaturization and system integration contribute to the development of portable, handheld, and smartphone-compatible devices. These advancements in diagnostics have the potential to revolutionize the approach to detect and respond to future pandemics. Accordingly, herein, recent advances in point-of-care testing (POCT) of coronavirus disease 2019 (COVID-19) using various microdevices, including lateral flow assay strips, vertical flow assay strips, microfluidic channels, and paper-based microfluidic devices, are reviewed. However, visual determination of the diagnostic results using only microdevices leads to many false-negative results due to the limited detection sensitivities of these devices. Several POCT systems comprising microdevices integrated with portable optical readers have been developed to address this issue. Since the outbreak of COVID-19, effective POCT strategies for COVID-19 based on optical detection methods have been established. They can be categorized into fluorescence, surface-enhanced Raman scattering, surface plasmon resonance spectroscopy, and wearable sensing. We introduced next-generation pandemic sensing methods incorporating artificial intelligence that can be used to meet global health needs in the future. Additionally, we have discussed appropriate responses of various testing devices to emerging infectious diseases and prospective preventive measures for the post-pandemic era. We believe that this review will be helpful for preparing for future infectious disease outbreaks.
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Affiliation(s)
- Sungwoon Lee
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea.
| | - Liyan Bi
- School of Special Education and Rehabilitation, Binzhou Medical University, Yantai, 264003, China
| | - Hao Chen
- School of Environmental and Material Engineering, Yantai University, Yantai 264005, China
| | - Dong Lin
- School of Pharmacy, Bianzhou Medical University, Yantai, 264003, China
| | - Rongchao Mei
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai 264003, China
| | - Yixuan Wu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai 264003, China
| | - Lingxin Chen
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai 264003, China
- School of Pharmacy, Bianzhou Medical University, Yantai, 264003, China
| | - Sang-Woo Joo
- Department of Information Communication, Materials, and Chemistry Convergence Technology, Soongsil University, Seoul 06978, South Korea
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea.
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21
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Yang X, Cheng X, Wei H, Tu Z, Rong Z, Wang C, Wang S. Fluorescence-enhanced dual signal lateral flow immunoassay for flexible and ultrasensitive detection of monkeypox virus. J Nanobiotechnology 2023; 21:450. [PMID: 38001482 PMCID: PMC10675944 DOI: 10.1186/s12951-023-02215-4] [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: 05/02/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
The outbreak of the monkeypox virus (MPXV) worldwide in 2022 highlights the need for a rapid and low-cost MPXV detection tool for effectively monitoring and controlling monkeypox disease. In this study, we developed a flexible lateral flow immunoassay (LFIA) with strong colorimetric and enhanced fluorescence dual-signal output for the rapid, on-site, and highly sensitive detection of the MPXV antigen in different scenarios. A multilayered SiO2-Au core dual-quantum dot (QD) shell nanocomposite (named SiO2-Au/DQD), which consists of a large SiO2 core (~ 200 nm), one layer of density-controlled gold nanoparticles (AuNPs, 20 nm), and thousands of small QDs, was fabricated instead of a traditional colorimetric nanotag (i.e., AuNPs) and a fluorescent nanotag (QD nanobead) to simultaneously provide good stability, strong colorimetric ability and superior fluorescence intensity. With the dual-signal output LFIA, we achieved the specific screening of the MPXV antigen (A29L) in 15 min, with detection limits of 0.5 and 0.0021 ng/mL for the colorimetric and fluorometric modes, respectively. Moreover, the colorimetric mode of SiO2-Au/DQD-LFIA exhibits the same sensitivity as the traditional AuNP- LFIA, whereas the overall sensitivity of this method on the basis of the fluorescent signal can achieve 238- and 3.3-fold improvements in sensitivity for MPXV compared with the AuNP-based LFIA and ELISA methods, respectively, indicating the powerful performance and good versatility of the dual-signal method in the point-of-care testing of the MPXV.
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Affiliation(s)
- Xingsheng Yang
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, P. R. China
| | - Xiaodan Cheng
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, P. R. China
| | - Hongjuan Wei
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, P. R. China
| | - Zhijie Tu
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, P. R. China
| | - Zhen Rong
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China.
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, P. R. China.
| | - Chongwen Wang
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China.
- Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510000, PR China.
| | - Shengqi Wang
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China.
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, P. R. China.
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22
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Cheng X, Yang X, Tu Z, Rong Z, Wang C, Wang S. Graphene oxide-based colorimetric/fluorescence dual-mode immunochromatography assay for simultaneous ultrasensitive detection of respiratory virus and bacteria in complex samples. JOURNAL OF HAZARDOUS MATERIALS 2023; 459:132192. [PMID: 37541116 DOI: 10.1016/j.jhazmat.2023.132192] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 07/20/2023] [Accepted: 07/29/2023] [Indexed: 08/06/2023]
Abstract
A point-of-care testing biosensor that supports direct, sensitive, and simultaneous identification of bacteria and virus is still lacking. In this study, an ultrasensitive immunochromatography assay (ICA) with colorimetric/fluorescence dual-signal output was proposed for flexible and accurate detection of respiratory virus and bacteria in complex samples. Colorimetric AuNPs of 16 nm and two layers of quantum dots (QDs) were coated onto the surface of monolayer graphene oxide (GO) layer by layer to form a multilayered dual-signal nanofilm. This material not only can generate strong colorimetric and fluorescence signals for ICA analysis but also can provide larger surface area, better stability, and superior dispersibility than conventional spherical nanomaterials. Two test lines were built onto the ICA strip to simultaneously detect common respiratory virus influenza A and respiratory bacteria Streptococcus pneumoniae. The dual-signal mode of assay greatly broadened the applied range of ICA method, in which the colorimetric mode allows for quick determination of virus/bacteria and the fluorescence mode ensures the highly sensitive and quantitative detection of target pathogens with detection limits down to 891 copies/mL and 17 cells/mL, respectively. The proposed dual-mode ICA can also be applied directly for real biological and environment samples, which suggests its great potential for field application.
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Affiliation(s)
- Xiaodan Cheng
- Bioinformatics Center of AMMS, Beijing 100850, PR China; Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing 100850, PR China
| | - Xingsheng Yang
- Bioinformatics Center of AMMS, Beijing 100850, PR China; Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing 100850, PR China
| | - Zhijie Tu
- Bioinformatics Center of AMMS, Beijing 100850, PR China; Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing 100850, PR China
| | - Zhen Rong
- Bioinformatics Center of AMMS, Beijing 100850, PR China; Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing 100850, PR China.
| | - Chongwen Wang
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing 100850, PR China; Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, PR China.
| | - Shengqi Wang
- Bioinformatics Center of AMMS, Beijing 100850, PR China; Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing 100850, PR China.
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23
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Dou X, Zhang Z, Liu B, Li C, Du Y, Tian F. Highly sensitive digital detection of SARS-CoV-2 nucleocapsid protein through single-molecule counting. Anal Bioanal Chem 2023; 415:6155-6164. [PMID: 37596347 DOI: 10.1007/s00216-023-04886-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 07/18/2023] [Accepted: 07/20/2023] [Indexed: 08/20/2023]
Abstract
Nucleocapsid protein (NP) is one of the structural proteins of SARS-CoV-2 which is stable, well-conserved, highly immunogenic, and abundantly expressed due to the host's adaptive immune response, making it a promising antigenic biomarker for the early and rapid identification and diagnosis of SARS-CoV-2. Traditional antigen analytical methods with NP as the detection marker often have insufficient sensitivity. To achieve rapid and highly sensitive detection of NP, we constructed a novel single-molecule (digital) fluorescence-linked immunosorbent assay (FLISA) based on streptavidin-modified transparent 96-well microplates. Streptavidin was immobilized on the microplate under optimized conditions with a 15 mM carbonate buffer solution (pH 9.6) as the coating solution, biotinylated antibodies conjugated with streptavidin as capture probes, and carboxylated fluorescent microsphere-conjugated monoclonal antibodies (FMs-mAbs) as fluorescent probes. Individual sandwich immunolabeled complexes of the SARS-CoV-2 diagnostic marker NP were detected and counted though wide-field inverted fluorescence microscopy (1.1 × 1.4 mm2). FLISA had a linear detection range of 0.2 pg/mL to 200 ng/mL and a limit of detection (LOD) of 0.73 fg/mL and 8 fg/mL for NP in phosphate buffer saline and spiked nasal swab samples, respectively. The sensitivity was much higher than commercial antigen detection kits, providing wide detection prospects in future clinical diagnosis, environmental monitoring, and other fields.
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Affiliation(s)
- Xuechen Dou
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 30161, China
| | - Zhiwei Zhang
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 30161, China
| | - Bo Liu
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 30161, China
| | - Chao Li
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 30161, China
- National Bio-Protection Engineering Center, Tianjin, 300161, China
| | - Yaohua Du
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 30161, China.
- National Bio-Protection Engineering Center, Tianjin, 300161, China.
| | - Feng Tian
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 30161, China.
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24
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Sun Q, Ning Q, Li T, Jiang Q, Feng S, Tang N, Cui D, Wang K. Immunochromatographic enhancement strategy for SARS-CoV-2 detection based on nanotechnology. NANOSCALE 2023; 15:15092-15107. [PMID: 37676509 DOI: 10.1039/d3nr02396f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
The global outbreak of coronavirus disease 2019 (COVID-19) has been catastrophic to both human health and social development. Therefore, developing highly reliable and sensitive point-of-care testing (POCT) for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a priority. Among all available POCTs, the lateral flow immunoassay (LFIA, also known as immunochromatography) has proved to be effective due to its accuracy, portability, convenience, and speed. In areas with a scarcity of laboratory resources and medical personnel, the LFIA provides an affordable option for the diagnosis of COVID-19. This review offers a comprehensive overview of methods for improving the sensitivity of SARS-CoV-2 detection using immunochromatography based on nanotechnology, sorted according to the different detection targets (antigens, antibodies, and nucleic acids). It also looks into the performance and properties of the various sensitivity enhancement strategies, before delving into the remaining challenges in COVID-19 diagnosis through LFIA. Ultimately, it seeks to provide helpful guidance in selecting an appropriate strategy for SARS-CoV-2 immunochromatographic detection based on nanotechnology.
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Affiliation(s)
- Qingwen Sun
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), Shanghai, 200240, China.
| | - Qihong Ning
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), Shanghai, 200240, China.
| | - Tangan Li
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), Shanghai, 200240, China.
| | - Qixia Jiang
- Department of Cardiology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China
| | - Shaoqing Feng
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China
| | - Ning Tang
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), Shanghai, 200240, China.
| | - Daxiang Cui
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), Shanghai, 200240, China.
| | - Kan Wang
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), Shanghai, 200240, China.
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25
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Wang Z, Zheng S, Zhang C, Wang W, Wang Q, Li Z, Wang S, Zhang L, Liu Y. Introduction of multilayered quantum dot nanobeads into competitive lateral flow assays for ultrasensitive and quantitative monitoring of pesticides in complex samples. Mikrochim Acta 2023; 190:361. [PMID: 37606829 DOI: 10.1007/s00604-023-05913-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: 05/24/2023] [Accepted: 07/11/2023] [Indexed: 08/23/2023]
Abstract
A competitive fluorescent lateral flow assay (CFLFA) is proposed for direct, ultrasensitive, quantitative detection of common pesticides imidacloprid (IMI) and carbendazim (CBZ) in complex food samples by using silica-core multilayered quantum dot nanobeads (SiO2-MQB) as liquid fluorescent tags. The SiO2-MQB nanostructure comprises a 200-nm SiO2 core and a shell of hundreds of carboxylated QDs (excitation/emission maxima ~365/631 nm), and can generate better stability, superior dispersibility, and higher luminescence than traditional fluorescent beads, greatly improving the sensitivity of current LFA methods for pesticides. Moreover, using liquid SiO2-MQB directly instead of via the conjugate pad both simplifies the structure of LFA system and improves the efficiency of immunobinding reactions between nanotags and the targets. Applying these methods, the established CFLFA realized the stable and accurate detection of IMI and CBZ in 12 min, with detection limits down to 1.94 and 14.79 pg/mL, respectively. The SiO2-MQB-CFLFA is practicable for application to real food samples (corn, apple, cucumber, and cabbage), and undoubtedly a promising and low-cost tool for on-site monitoring of trace pesticide residues.
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Affiliation(s)
- Zhenmei Wang
- School of Physics and Electronic Information, Anhui Normal University, Wuhu, 241000, People's Republic of China
| | - Shuai Zheng
- Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, 230036, People's Republic of China
| | - Chijian Zhang
- School of Physics and Electronic Information, Anhui Normal University, Wuhu, 241000, People's Republic of China
| | - Wenqi Wang
- Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, 230036, People's Republic of China
| | - Qian Wang
- Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, 230036, People's Republic of China
| | - Zhigang Li
- Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, 230036, People's Republic of China
| | - Shu Wang
- Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, 230036, People's Republic of China.
| | - Long Zhang
- Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, 230036, People's Republic of China.
| | - Yong Liu
- Wan Jiang new industry technology development center, Tongling, 244000, People's Republic of China.
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26
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Mousavi SM, Kalashgrani MY, Gholami A, Omidifar N, Binazadeh M, Chiang WH. Recent Advances in Quantum Dot-Based Lateral Flow Immunoassays for the Rapid, Point-of-Care Diagnosis of COVID-19. BIOSENSORS 2023; 13:786. [PMID: 37622872 PMCID: PMC10452855 DOI: 10.3390/bios13080786] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/23/2023] [Accepted: 07/31/2023] [Indexed: 08/26/2023]
Abstract
The COVID-19 pandemic has spurred demand for efficient and rapid diagnostic tools that can be deployed at point of care to quickly identify infected individuals. Existing detection methods are time consuming and they lack sensitivity. Point-of-care testing (POCT) has emerged as a promising alternative due to its user-friendliness, rapidity, and high specificity and sensitivity. Such tests can be conveniently conducted at the patient's bedside. Immunodiagnostic methods that offer the rapid identification of positive cases are urgently required. Quantum dots (QDs), known for their multimodal properties, have shown potential in terms of combating or inhibiting the COVID-19 virus. When coupled with specific antibodies, QDs enable the highly sensitive detection of viral antigens in patient samples. Conventional lateral flow immunoassays (LFAs) have been widely used for diagnostic testing due to their simplicity, low cost, and portability. However, they often lack the sensitivity required to accurately detect low viral loads. Quantum dot (QD)-based lateral flow immunoassays have emerged as a promising alternative, offering significant advancements in sensitivity and specificity. Moreover, the lateral flow immunoassay (LFIA) method, which fulfils POCT standards, has gained popularity in diagnosing COVID-19. This review focuses on recent advancements in QD-based LFIA for rapid POCT COVID-19 diagnosis. Strategies to enhance sensitivity using QDs are explored, and the underlying principles of LFIA are elucidated. The benefits of using the QD-based LFIA as a POCT method are highlighted, and its published performance in COVID-19 diagnostics is examined. Overall, the integration of quantum dots with LFIA holds immense promise in terms of revolutionizing COVID-19 detection, treatment, and prevention, offering a convenient and effective approach to combat the pandemic.
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Affiliation(s)
- Seyyed Mojtaba Mousavi
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan;
| | - Masoomeh Yari Kalashgrani
- Biotechnology Research Center, Shiraz University of Medical Science, Shiraz 71468-64685, Iran; (M.Y.K.); (A.G.)
| | - Ahmad Gholami
- Biotechnology Research Center, Shiraz University of Medical Science, Shiraz 71468-64685, Iran; (M.Y.K.); (A.G.)
| | - Navid Omidifar
- Department of Pathology, School of Medicine, Shiraz University of Medical Sciences, Shiraz 71468-64685, Iran;
| | - Mojtaba Binazadeh
- Department of Chemical Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Shiraz 71557-13876, Iran;
| | - Wei-Hung Chiang
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan;
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27
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Yu Q, Xia X, Xu C, Wang W, Zheng S, Wang C, Gu B, Wang C. Introduction of a multilayered fluorescent nanofilm into lateral flow immunoassay for ultrasensitive detection of Salmonella typhimurium in food samples. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023. [PMID: 37455653 DOI: 10.1039/d3ay00738c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
Fast and sensitive identification of foodborne bacteria in complex samples is the key to the prevention and control of microbial infections. Herein, an ultrasensitive lateral flow assay (LFIA) based on multilayered fluorescent nanofilm (GO/DQD)-guided signal amplification was developed for the rapid and quantitative determination of Salmonella typhimurium (S. typhi). The film-like GO/DQD was prepared through the electrostatic mediated layer-by-layer assembly of numerous carboxylated CdSe/ZnS quantum dots (QDs) onto an ultrathin graphene oxide (GO) nanosheet, which possessed advantages including higher QD loading, larger surface areas, superior luminescence, and better stability, than traditional spherical nanomaterials. The antibody-modified GO/DQD can effectively attach onto a target bacterial cell to form a GO/DQD-bacteria immunocomplex containing almost ten thousand QDs, thus greatly improving the detection sensitivity of LFIA. The constructed GO/DQD-LFIA biosensor achieved the rapid and sensitive detection of S. typhi in 14 min with detection limits of as low as 9 cells/mL. Moreover, compared with traditional LFIA techniques for bacteria detection, the proposed assay exhibited excellent stability and accuracy in real food samples and enormously improved sensitivity (2-3 orders of magnitude), demonstrating its great potential in the field of rapid diagnosis.
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Affiliation(s)
- Qing Yu
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China.
- Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, PR China.
| | - Xuan Xia
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China.
| | - Changyue Xu
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China.
| | - Wenqi Wang
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China.
| | - Shuai Zheng
- Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, PR China.
| | - Chongwen Wang
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China.
- Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, PR China.
| | - Bing Gu
- Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, PR China.
| | - Chaoguang Wang
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, PR China.
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28
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Brosamer K, Kourentzi K, Willson RC, Vu BV. Glowstick-inspired smartphone-readable reporters for sensitive, multiplexed lateral flow immunoassays. COMMUNICATIONS ENGINEERING 2023; 2:31. [PMID: 38586601 PMCID: PMC10955955 DOI: 10.1038/s44172-023-00075-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 04/25/2023] [Indexed: 04/09/2024]
Abstract
The COVID-19 pandemic has increased demand for point-of-care (POC) screening tests such as lateral flow assays (LFAs) and highlighted the need for sensitive and cost-effective POC diagnostic platforms. Here, we demonstrate an LFA platform using standard fluorescent nanoparticle reporters in which optical excitation is replaced by chemical excitation using the peroxyoxalate-based chemistry of inexpensive, shelf-stable glowsticks. The one-step chemi-excitation of fluorescent particles produces visible light readable by an unmodified smartphone, enhancing sensitivity while preserving simplicity and cost-effectiveness. Our Glow LFA detected the common model analyte human chorionic gonadotropin with a limit of detection (LoD) of 39 pg/mL-over ten times more sensitive than standard gold nanoparticles using the same antibodies. We also demonstrate its application to the detection of SARS-CoV-2 nucleoprotein at 100 pg/mL in nasal swab extract. Multiple fluorescent dyes can be chemi-excited by a single reagent, allowing for color multiplexing on a single LFA strip with a smartphone camera. The detection of three analytes on a single LFA test line was demonstrated using red, green, and blue fluorescent reporter particles, making glow LFA a promising platform for multiplexed detection.
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Affiliation(s)
- Kristen Brosamer
- Department of Biomedical Engineering, University of Houston, Houston, TX 77204, USA
| | - Katerina Kourentzi
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX 77204, USA
| | - Richard C. Willson
- Department of Biomedical Engineering, University of Houston, Houston, TX 77204, USA
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX 77204, USA
- Escuela de Medicina y Ciencias de Salud, Tecnológico de Monterrey, Monterrey, Nuevo León 64710, Mexico
| | - Binh V. Vu
- William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX 77204, USA
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Wang W, Yu Q, Zheng S, Li J, Wu T, Wang S, Wang C, Gu B. Ultrasensitive and simultaneous monitoring of multiple small-molecule pollutants on an immunochromatographic strip with multilayered film-like fluorescent tags. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 878:162968. [PMID: 36958566 DOI: 10.1016/j.scitotenv.2023.162968] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/03/2023] [Accepted: 03/16/2023] [Indexed: 05/13/2023]
Abstract
A wide variety of small-molecule pollutants is harmful to human health, and their highly sensitive universal and rapid detection in complex environments remains a challenge. Herein, a multiplexed and ultrasensitive immunochromatographic strip (ICS) was developed for the universal analysis of three kinds of different pollutants based on multilayered fluorescent nanofilm-guided signal amplification. Flexible three-dimensional nanofilms (GO-MQD) with large surface areas, high quantum dot (QD) loading, superior luminescence, and good stability were synthesized through the electrostatic adsorption-mediated layer-by-layer assembly of three layers of small QDs onto two-dimensional graphene oxide (GO) nanosheets, modified with specific antibodies, and utilized as enhanced fluorescent tags in the ICS method for quantitative target detection. By combining the GO-MQD nanofilms and multiplexed ICS, the proposed assay can rapidly and sensitively detect aflatoxin B1, clenbuterol, and kanamycin in actual samples/environmental samples (pork extract, milk, river water, and lake water) with low detection limit (0.87, 2.04, and 0.81 pg/mL), fast testing time (15 min), good stability and high reproducibility (RSD < 8.71 %). The GO-MQD-ICS method developed here exhibits great potential to meet the demands of the on-site and practical detection of small-molecule pollutants.
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Affiliation(s)
- Wenqi Wang
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China; College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Qing Yu
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Shuai Zheng
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China; Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230036, PR China
| | - Jiaxuan Li
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China; College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Ting Wu
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China; Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230036, PR China
| | - Shu Wang
- Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230036, PR China.
| | - Chongwen Wang
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China; College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China.
| | - Bing Gu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China.
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30
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Tao S, Zhao X, Bao D, Liu X, Zhang W, Zhao L, Tang Y, Wu H, Ye H, Yang Y, Deng D. SARS-Cov-2 Spike-S1 Antigen Test Strip with High Sensitivity Endowed by High-Affinity Antibodies and Brightly Fluorescent QDs/Silica Nanospheres. ACS APPLIED MATERIALS & INTERFACES 2023; 15:27612-27623. [PMID: 37265327 DOI: 10.1021/acsami.3c03434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
The extensive research into developing novel strategies for detecting respiratory syndrome coronavirus 2 (SARS-CoV-2) antigens in clinical specimens, especially the sensitive point-of-care testing method, is still urgently needed to reach rapid screening of viral infections. Herein, a new lateral flow immunoassay (LFIA) platform was reported for the detection of SARS-CoV-2 spike-S1 protein antigens, in which four sensitive and specific SARS-CoV-2 mouse monoclonal antibodies (MmAbs) were tailored by using quantum dot (QD)-loaded dendritic mesoporous silica nanoparticles modified further for achieving the -COOH group surface coating (named Q/S-COOH nanospheres). Importantly, compact QD adsorption was achieved in mesoporous channels of silica nanoparticles on account of highly accessible central-radial pores and electrostatic interactions, leading to significant signal amplification. As such, a limit of detection for SARS-CoV-2 spike-S1 testing was found to be 0.03 ng/mL, which is lower compared with those of AuNPs-LFIA (traditional colloidal gold nanoparticles, Au NPs) and enzyme-linked immunosorbent assay methods. These results show that optimizing the affinity of antibody and the intensity of fluorescent nanospheres simultaneously is of great significance to improve the sensitivity of LFIA.
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Affiliation(s)
- Shiyi Tao
- Department of Biomedical Engineering, China Pharmaceutical University, Nanjing 211198, China
- China Regional Research Centre, International Centre for Genetic Engineering and Biotechnology, Taizhou 225300, China
| | - Xiaomin Zhao
- Department of Biomedical Engineering, China Pharmaceutical University, Nanjing 211198, China
| | - Dongping Bao
- China Regional Research Centre, International Centre for Genetic Engineering and Biotechnology, Taizhou 225300, China
| | - Xuecheng Liu
- Department of Biomedical Engineering, China Pharmaceutical University, Nanjing 211198, China
| | - Wei Zhang
- Department of Pharmaceutical Engineering, School of Engineering, China Pharmaceutical University, Nanjing 211198, China
| | - Liying Zhao
- Department of Pharmaceutical Engineering, School of Engineering, China Pharmaceutical University, Nanjing 211198, China
| | - Yujiao Tang
- Department of Biomedical Engineering, China Pharmaceutical University, Nanjing 211198, China
| | - Hongbin Wu
- Jiangsu Huatai Vaccine Engineering Technology Research Co., Ltd., Taizhou 225300, China
| | - Huayue Ye
- Jiangsu Huatai Vaccine Engineering Technology Research Co., Ltd., Taizhou 225300, China
| | - Yili Yang
- China Regional Research Centre, International Centre for Genetic Engineering and Biotechnology, Taizhou 225300, China
| | - Dawei Deng
- Department of Biomedical Engineering, China Pharmaceutical University, Nanjing 211198, China
- Department of Pharmaceutical Engineering, School of Engineering, China Pharmaceutical University, Nanjing 211198, China
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31
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Dong T, Wang M, Liu J, Ma P, Pang S, Liu W, Liu A. Diagnostics and analysis of SARS-CoV-2: current status, recent advances, challenges and perspectives. Chem Sci 2023; 14:6149-6206. [PMID: 37325147 PMCID: PMC10266450 DOI: 10.1039/d2sc06665c] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 05/03/2023] [Indexed: 06/17/2023] Open
Abstract
The disastrous spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has induced severe public healthcare issues and weakened the global economy significantly. Although SARS-CoV-2 infection is not as fatal as the initial outbreak, many infected victims suffer from long COVID. Therefore, rapid and large-scale testing is critical in managing patients and alleviating its transmission. Herein, we review the recent advances in techniques to detect SARS-CoV-2. The sensing principles are detailed together with their application domains and analytical performances. In addition, the advantages and limits of each method are discussed and analyzed. Besides molecular diagnostics and antigen and antibody tests, we also review neutralizing antibodies and emerging SARS-CoV-2 variants. Further, the characteristics of the mutational locations in the different variants with epidemiological features are summarized. Finally, the challenges and possible strategies are prospected to develop new assays to meet different diagnostic needs. Thus, this comprehensive and systematic review of SARS-CoV-2 detection technologies may provide insightful guidance and direction for developing tools for the diagnosis and analysis of SARS-CoV-2 to support public healthcare and effective long-term pandemic management and control.
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Affiliation(s)
- Tao Dong
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
- School of Pharmacy, Medical College, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Mingyang Wang
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Junchong Liu
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Pengxin Ma
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Shuang Pang
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Wanjian Liu
- Qingdao Hightop Biotech Co., Ltd 369 Hedong Road, Hi-tech Industrial Development Zone Qingdao 266112 China
| | - Aihua Liu
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
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Ansah IB, Leming M, Lee SH, Yang JY, Mun C, Noh K, An T, Lee S, Kim DH, Kim M, Im H, Park SG. Label-free detection and discrimination of respiratory pathogens based on electrochemical synthesis of biomaterials-mediated plasmonic composites and machine learning analysis. Biosens Bioelectron 2023; 227:115178. [PMID: 36867960 PMCID: PMC10165532 DOI: 10.1016/j.bios.2023.115178] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 03/05/2023]
Abstract
Seasonal outbreaks of respiratory viral infections remain a global concern, with increasing morbidity and mortality rates recorded annually. Timely and false responses contribute to the widespread of respiratory pathogenic diseases owing to similar symptoms at an early stage and subclinical infection. The prevention of emerging novel viruses and variants is also a big challenge. Reliable point-of-care diagnostic assays for early infection diagnosis play a critical role in the response to threats of epidemics or pandemics. We developed a facile method for specifically identifying different viruses based on surface-enhanced Raman spectroscopy (SERS) with pathogen-mediated composite materials on Au nanodimple electrodes and machine learning (ML) analyses. Virus particles were trapped in three-dimensional plasmonic concave spaces of the electrode via electrokinetic preconcentration, and Au films were simultaneously electrodeposited, leading to the acquisition of intense and in-situ SERS signals from the Au-virus composites for ultrasensitive SERS detection. The method was useful for rapid detection analysis (<15 min), and the ML analysis for specific identification of eight virus species, including human influenza A viruses (i.e., H1N1 and H3N2 strains), human rhinovirus, and human coronavirus, was conducted. The highly accurate classification was achieved using the principal component analysis-support vector machine (98.9%) and convolutional neural network (93.5%) models. This ML-associated SERS technique demonstrated high feasibility for direct multiplex detection of different virus species for on-site applications.
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Affiliation(s)
- Iris Baffour Ansah
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea; Advanced Materials Engineering Division, University of Science and Technology (UST), Daejeon, 34113, Republic of Korea
| | - Matthew Leming
- Center for Systems Biology (CSB), Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Soo Hyun Lee
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea
| | - Jun-Yeong Yang
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea
| | - ChaeWon Mun
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea
| | - Kyungseob Noh
- Infectious Diseases Therapeutic Research Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon, 34114, Republic of Korea; Graduate School of New Drug Discovery and Development, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Timothy An
- Infectious Diseases Therapeutic Research Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon, 34114, Republic of Korea; Graduate School of New Drug Discovery and Development, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Seunghun Lee
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea
| | - Dong-Ho Kim
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea; Advanced Materials Engineering Division, University of Science and Technology (UST), Daejeon, 34113, Republic of Korea
| | - Meehyein Kim
- Infectious Diseases Therapeutic Research Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon, 34114, Republic of Korea; Graduate School of New Drug Discovery and Development, Chungnam National University, Daejeon, 34134, Republic of Korea.
| | - Hyungsoon Im
- Center for Systems Biology (CSB), Massachusetts General Hospital, Boston, MA, 02114, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA.
| | - Sung-Gyu Park
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea.
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33
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Zhu J, Zhao X, Mao J, Na N, Ouyang J. Single-Molecule Evaluation of the SARS-CoV-2 Nucleocapsid Protein Using Gold Particle-in-a-Frame Nanostructures Enhanced Fluorescent Assay. Anal Chem 2023; 95:5267-5274. [PMID: 36912606 PMCID: PMC10022750 DOI: 10.1021/acs.analchem.2c05191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 03/01/2023] [Indexed: 03/14/2023]
Abstract
Ultrasensitive evaluation of low-abundance analytes, particularly with limits approaching a single molecule, is a key challenge in the design of an assay for profiling severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antigen. Herein, we report an aptamer claw strategy for directly evaluating the SARS-CoV-2 antigen based on gold particle-in-a-frame nanostructures (Au PIAFs). Au PIAF was used as a metal-enhanced fluorescence material. The assay integrated with a microplate reader achieved a sensitivity of 44 fg·mL-1 in under 3 min and accurately detected the SARS-CoV-2 nucleocapsid protein (N protein) in human saliva samples. When our assay is combined with a single-molecule counting platform, the limit of detection can be as low as 0.84 ag·mL-1. This rapid and ultrasensitive assay holds promise as a tool for screening SARS-CoV-2 and other contagious viruses.
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Affiliation(s)
- Jiale Zhu
- Key Laboratory of Theoretical and Computational
Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal
University, Beijing 100875, China
| | - Xuan Zhao
- Key Laboratory of Theoretical and Computational
Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal
University, Beijing 100875, China
| | - Jinpeng Mao
- Department of Chemistry, Tsinghua
University, Beijing 100084, China
| | - Na Na
- Key Laboratory of Theoretical and Computational
Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal
University, Beijing 100875, China
| | - Jin Ouyang
- Key Laboratory of Theoretical and Computational
Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal
University, Beijing 100875, China
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34
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Lv Y, Fan J, Zhao M, Wu R, Li LS. Recent advances in quantum dot-based fluorescence-linked immunosorbent assays. NANOSCALE 2023; 15:5560-5578. [PMID: 36866747 DOI: 10.1039/d2nr07247e] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Fluorescence immunoassays have been given considerable attention among the quantitative detection methods in the clinical medicine and food safety testing fields. In particular, semiconductor quantum dots (QDs) have become ideal fluorescent probes for highly sensitive and multiplexed detection due to their unique photophysical properties, and the QD fluorescence-linked immunosorbent assay (FLISA) with high sensitivity, high accuracy, and high throughput has been greatly developed recently. In this manuscript, the advantages of applying QDs to FLISA platforms and some strategies for their application to in vitro diagnostics and food safety are discussed. Given the rapid development of this field, we classify these strategies based on the combination of QD types and detection targets, including traditional QDs or QD micro/nano-spheres-FLISA, and multiple FLISA platforms. In addition, some new sensors based on the QD-FLISA are introduced; this is one of the hot spots in this field. The current focus and future direction of QD-FLISA are also discussed, which provides important guidance for the further development of FLISA.
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Affiliation(s)
- Yanbing Lv
- Key Lab for Special Functional Materials of the Ministry of Education, and School of Materials, Henan University, Kaifeng, 475004, China.
| | - Jinjin Fan
- Key Lab for Special Functional Materials of the Ministry of Education, and School of Materials, Henan University, Kaifeng, 475004, China.
| | - Man Zhao
- Key Lab for Special Functional Materials of the Ministry of Education, and School of Materials, Henan University, Kaifeng, 475004, China.
| | - Ruili Wu
- Key Lab for Special Functional Materials of the Ministry of Education, and School of Materials, Henan University, Kaifeng, 475004, China.
| | - Lin Song Li
- Key Lab for Special Functional Materials of the Ministry of Education, and School of Materials, Henan University, Kaifeng, 475004, China.
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Chen F, Hu Q, Li H, Xie Y, Xiu L, Zhang Y, Guo X, Yin K. Multiplex Detection of Infectious Diseases on Microfluidic Platforms. BIOSENSORS 2023; 13:bios13030410. [PMID: 36979622 PMCID: PMC10046538 DOI: 10.3390/bios13030410] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/15/2023] [Accepted: 03/20/2023] [Indexed: 05/31/2023]
Abstract
Infectious diseases contribute significantly to the global disease burden. Sensitive and accurate screening methods are some of the most effective means of identifying sources of infection and controlling infectivity. Conventional detecting strategies such as quantitative polymerase chain reaction (qPCR), DNA sequencing, and mass spectrometry typically require bulky equipment and well-trained personnel. Therefore, mass screening of a large population using conventional strategies during pandemic periods often requires additional manpower, resources, and time, which cannot be guaranteed in resource-limited settings. Recently, emerging microfluidic technologies have shown the potential to replace conventional methods in performing point-of-care detection because they are automated, miniaturized, and integrated. By exploiting the spatial separation of detection sites, microfluidic platforms can enable the multiplex detection of infectious diseases to reduce the possibility of misdiagnosis and incomplete diagnosis of infectious diseases with similar symptoms. This review presents the recent advances in microfluidic platforms used for multiplex detection of infectious diseases, including microfluidic immunosensors and microfluidic nucleic acid sensors. As representative microfluidic platforms, lateral flow immunoassay (LFIA) platforms, polymer-based chips, paper-based devices, and droplet-based devices will be discussed in detail. In addition, the current challenges, commercialization, and prospects are proposed to promote the application of microfluidic platforms in infectious disease detection.
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Affiliation(s)
- Fumin Chen
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
| | - Qinqin Hu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
| | - Huimin Li
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
| | - Yi Xie
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
| | - Leshan Xiu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
| | - Yuqian Zhang
- Department of Surgery, Division of Surgery Research, Mayo Clinic, Rochester, MN 55905, USA
- Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Xiaokui Guo
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
| | - Kun Yin
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
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Lee AS, Kim SM, Kim KR, Park C, Lee DG, Heo HR, Cha HJ, Kim CS. A colorimetric lateral flow immunoassay based on oriented antibody immobilization for sensitive detection of SARS-CoV-2. SENSORS AND ACTUATORS. B, CHEMICAL 2023; 379:133245. [PMID: 36589904 PMCID: PMC9791791 DOI: 10.1016/j.snb.2022.133245] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 12/14/2022] [Accepted: 12/24/2022] [Indexed: 06/12/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19). The high human-to-human transmission and rapid evolution of SARS-CoV-2 have resulted in a worldwide pandemic. To contain SARS-CoV-2, it is essential to efficiently control the transmission of the virus through the early diagnosis of infected individuals, including asymptomatic people. Therefore, a rapid and accurate assay is vital for the early diagnosis of SARS-CoV-2 in suspected individuals. In this study, we developed a colorimetric lateral flow immunoassay (LFIA) in which a CBP31-BC linker was used to immobilize antibodies on a cellulose membrane in an oriented manner. The developed LFIA enabled sensitive detection of cultured SARS-CoV-2 in 15 min with a detection limit of 5 × 104 copies/mL. The clinical performance of the LFIA for detecting SARS-CoV-2 was evaluated using 19 clinical samples validated by reverse transcription-polymerase chain reaction (RT-PCR). The LFIA detected all the positive and negative samples accurately, corresponding to 100% accuracy. Importantly, patient samples with low viral loads were accurately identified. Thus, the proposed method can provide a useful platform for rapid and accurate point-of-care testing of SARS-CoV-2 in infected individuals to efficiently control the COVID-19 pandemic.
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Affiliation(s)
- Ae Sol Lee
- Graduate School of Biochemistry, Yeungnam University, Gyeongsan 38541, Republic of Korea
| | - Su Min Kim
- Graduate School of Biochemistry, Yeungnam University, Gyeongsan 38541, Republic of Korea
| | - Kyeong Rok Kim
- Graduate School of Biochemistry, Yeungnam University, Gyeongsan 38541, Republic of Korea
| | - Chulmin Park
- Vaccine Bio Research Institute, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Dong-Gun Lee
- Vaccine Bio Research Institute, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Hye Ryoung Heo
- Senotherapy-based Metabolic Disease Control Research Center, Yeungnam University, Gyeongsan 38541, Republic of Korea
| | - Hyung Joon Cha
- Department of Chemical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea
| | - Chang Sup Kim
- Graduate School of Biochemistry, Yeungnam University, Gyeongsan 38541, Republic of Korea
- School of Chemistry and Biochemistry, Yeungnam University, Gyeongsan 38541, Republic of Korea
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37
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Lin Z, Zou Z, Pu Z, Wu M, Zhang Y. Application of microfluidic technologies on COVID-19 diagnosis and drug discovery. Acta Pharm Sin B 2023; 13:S2211-3835(23)00061-8. [PMID: 36855672 PMCID: PMC9951611 DOI: 10.1016/j.apsb.2023.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/02/2023] [Accepted: 02/15/2023] [Indexed: 02/26/2023] Open
Abstract
The ongoing coronavirus disease 2019 (COVID-19) pandemic has boosted the development of antiviral research. Microfluidic technologies offer powerful platforms for diagnosis and drug discovery for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) diagnosis and drug discovery. In this review, we introduce the structure of SARS-CoV-2 and the basic knowledge of microfluidic design. We discuss the application of microfluidic devices in SARS-CoV-2 diagnosis based on detecting viral nucleic acid, antibodies, and antigens. We highlight the contribution of lab-on-a-chip to manufacturing point-of-care equipment of accurate, sensitive, low-cost, and user-friendly virus-detection devices. We then investigate the efforts in organ-on-a-chip and lipid nanoparticles (LNPs) synthesizing chips in antiviral drug screening and mRNA vaccine preparation. Microfluidic technologies contribute to the ongoing SARS-CoV-2 research efforts and provide tools for future viral outbreaks.
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Affiliation(s)
- Zhun Lin
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Zhengyu Zou
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhe Pu
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Minhao Wu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Yuanqing Zhang
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
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38
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Shen W, Li J, Jiang B, Nie Y, Pang Y, Wang C, Xiao R, Hao R. Electrostatic Adsorption of Dense AuNPs onto Silica Core as High-Performance SERS Tag for Sensitive Immunochromatographic Detection of Streptococcus pneumoniae. Pathogens 2023; 12:pathogens12020327. [PMID: 36839599 PMCID: PMC9965993 DOI: 10.3390/pathogens12020327] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 02/08/2023] [Accepted: 02/13/2023] [Indexed: 02/17/2023] Open
Abstract
Streptococcus pneumoniae (S. pneumoniae) is a prominent pathogen of bacterial pneumonia and its rapid and sensitive detection in complex biological samples remains a challenge. Here, we developed a simple but effective immunochromatographic assay (ICA) based on silica-Au core-satellite (SiO2@20Au) SERS tags to sensitively and quantitatively detect S. pneumoniae. The high-performance SiO2@20Au tags with superior stability and SERS activity were prepared by one-step electrostatic adsorption of dense 20 nm AuNPs onto 180 nm SiO2 core and introduced into the ICA method to ensure the high sensitivity and accuracy of the assay. The detection limit of the proposed SERS-ICA reached 46 cells/mL for S. pneumoniae and was 100-fold more sensitive than the traditional AuNPs-based colorimetric ICA method. Further, considering its good stability, specificity, reproducibility, and easy operation, the SiO2@20Au-SERS-ICA developed here has great potential to meet the demands of on-site and accurate detection of respiratory pathogens.
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Affiliation(s)
- Wanzhu Shen
- School of Public Health, Capital Medical University, Beijing 100069, China
- Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Jiaxuan Li
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
| | - Bo Jiang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - You Nie
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Yuanfeng Pang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Chongwen Wang
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
- Correspondence: (C.W.); (R.X.); (R.H.)
| | - Rui Xiao
- Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
- Correspondence: (C.W.); (R.X.); (R.H.)
| | - Rongzhang Hao
- School of Public Health, Capital Medical University, Beijing 100069, China
- Correspondence: (C.W.); (R.X.); (R.H.)
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39
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Chabi M, Vu B, Brosamer K, Smith M, Chavan D, Conrad JC, Willson RC, Kourentzi K. Smartphone-read phage lateral flow assay for point-of-care detection of infection. Analyst 2023; 148:839-848. [PMID: 36645184 PMCID: PMC10503656 DOI: 10.1039/d2an01499h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The COVID-19 pandemic has highlighted the urgent need for sensitive, affordable, and widely accessible testing at the point of care. Here we demonstrate a new, universal LFA platform technology using M13 phage conjugated with antibodies and HRP enzymes that offers high analytical sensitivity and excellent performance in a complex clinical matrix. We also report its complete integration into a sensitive chemiluminescence-based smartphone-readable lateral flow assay for the detection of SARS-CoV-2 nucleoprotein. We screened 84 anti-nucleoprotein monoclonal antibody pairs in phage LFA and identified an antibody pair that gave an LoD of 25 pg mL-1 nucleoprotein in nasal swab extract using a FluorChem gel documentation system and 100 pg mL-1 when the test was imaged and analyzed by an in-house-developed smartphone reader. The smartphone-read LFA signals for positive clinical samples tested (N = 15, with known Ct) were statistically different (p < 0.001) from signals for negative clinical samples (N = 11). The phage LFA technology combined with smartphone chemiluminescence imaging can enable the timely development of ultrasensitive, affordable point-of-care testing platforms for SARS-CoV-2 and beyond.
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Affiliation(s)
- Maede Chabi
- Department of Biomedical Engineering, University of Houston, Houston, Texas 77204, USA.
| | - Binh Vu
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, USA.
| | - Kristen Brosamer
- Department of Biomedical Engineering, University of Houston, Houston, Texas 77204, USA.
| | - Maxwell Smith
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, USA.
| | - Dimple Chavan
- Department of Biology and Biochemistry, University of Houston, Houston, Texas 77204, USA
| | - Jacinta C Conrad
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, USA.
| | - Richard C Willson
- Department of Biomedical Engineering, University of Houston, Houston, Texas 77204, USA.
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, USA.
- Department of Biology and Biochemistry, University of Houston, Houston, Texas 77204, USA
- Escuela de Medicina y Ciencias de Salud, Tecnológico de Monterrey, Monterrey, Nuevo León 64710, Mexico
| | - Katerina Kourentzi
- Department of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas 77204, USA.
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40
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Pei F, Feng S, Hu W, Liu B, Mu X, Hao Q, Cao Y, Lei W, Tong Z. Sandwich mode lateral flow assay for point-of-care detecting SARS-CoV-2. Talanta 2023; 253. [PMCID: PMC9612878 DOI: 10.1016/j.talanta.2022.124051] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The global corona virus disease 2019 (COVID-19) has been announced a pandemic outbreak, and has threatened human life and health seriously. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as its causative pathogen, is widely detected in the screening of COVID-19 patients, infected people and contaminated substances. Lateral flow assay (LFA) is a popular point-of-care detection method, possesses advantages of quick response, simple operation mode, portable device, and low cost. Based on the above advantages, LFA has been widely developed for detecting SARS-CoV-2. In this review, we summarized the articles about the sandwich mode LFA detecting SARS-CoV-2, classified according to the target detection objects indicating genes, nucleocapsid protein, spike protein, and specific antibodies of SARS-CoV-2. In each part, LFA is further classified and summarized according to different signal detection types. Additionally, the properties of the targets were introduced to clarify their detection significance. The review is expected to provide a helpful guide for LFA sensitization and marker selection of SARS-CoV-2.
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Affiliation(s)
- Fubin Pei
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China,State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Shasha Feng
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China,State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Wei Hu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Bing Liu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Xihui Mu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Qingli Hao
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China
| | - Yang Cao
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China
| | - Wu Lei
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China,Corresponding author
| | - Zhaoyang Tong
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China,Corresponding author
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41
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Yeh YJ, Le TN, Hsiao WWW, Tung KL, Ostrikov KK, Chiang WH. Plasmonic nanostructure-enhanced Raman scattering for detection of SARS-CoV-2 nucleocapsid protein and spike protein variants. Anal Chim Acta 2023; 1239:340651. [PMID: 36628748 PMCID: PMC9677586 DOI: 10.1016/j.aca.2022.340651] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 10/23/2022] [Accepted: 11/20/2022] [Indexed: 11/23/2022]
Abstract
Epidemiological control and public health monitoring during the outbreaks of infectious viral diseases rely on the ability to detect viral pathogens. Here we demonstrate a rapid, sensitive, and selective nanotechnology-enhanced severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection based on the surface-enhanced Raman scattering (SERS) responses from the plasma-engineered, variant-specific antibody-functionalized silver microplasma-engineered nanoassemblies (AgMEN) interacting with the SARS-CoV-2 spike (S) and nucleocapsid (N) proteins. The three-dimensional (3D) porous AgMEN with plasmonic-active nanostructures provide a high sensitivity to virus detection via the remarkable SERS signal collection. Moreover, the variant-specific antibody-functionalization on the SERS-active AgMEN enabled the high selectivity of the SARS-CoV-2 S variants, including wild-type, Alpha, Delta, and Omicron, under the simulated human saliva conditions. The exceptional ultrahigh sensitivity of our SERS biosensor was demonstrated via SARS-CoV-2 S and N proteins at the detection limit of 1 fg mL-1 and 0.1 pg mL-1, respectively. Our work demonstrates a versatile SERS-based detection platform can be applied for the ultrasensitive detection of virus variants, infectious diseases, and cancer biomarkers.
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Affiliation(s)
- Yi-Jui Yeh
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan; Department of Chemical Engineering, National Taiwan University, Taipei, 10617, Taiwan
| | - Trong-Nghia Le
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan; Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei, 10617, Taiwan
| | - Wesley Wei-Wen Hsiao
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan.
| | - Kuo-Lun Tung
- Department of Chemical Engineering, National Taiwan University, Taipei, 10617, Taiwan.
| | - Kostya Ken Ostrikov
- School of Chemistry and Physics, Centre for Materials Science, Centre for Biomedical Technologies, Queensland University of Technology (QUT), Brisbane, QLD, 4000, Australia
| | - Wei-Hung Chiang
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan.
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42
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Luo Z, Cheng Y, He L, Feng Y, Tian Y, Chen Z, Feng Y, Li Y, Xie W, Huang W, Meng J, Li Y, He F, Wang X, Duan Y. T-Shaped Aptamer-Based LSPR Biosensor Using Ω-Shaped Fiber Optic for Rapid Detection of SARS-CoV-2. Anal Chem 2023; 95:1599-1607. [PMID: 36580626 PMCID: PMC9843628 DOI: 10.1021/acs.analchem.2c04709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 12/19/2022] [Indexed: 12/31/2022]
Abstract
SARS-CoV-2, especially the variant strains, is rapidly spreading around the world. Rapid detection methods for the virus are crucial for controlling the COVID-19 epidemic. Herein, a localized surface plasmonic resonance (LSPR) biosensor based on Ω-shaped fiber optic (Ω-FO) was developed for dual assays of SARS-CoV-2 monitoring. Due to its strong ability to control the orientation and density, a new T-shaped aptamer exhibits enhanced binding affinity toward N proteins. After being combined on the fiber optic surface, the T-shaped aptamer sensitively captured N proteins of SARS-CoV-2 for a direct assay. Further, core-shell structured gold/silver nanoparticles functionalized with a T-shaped aptamer (apt-Ag@AuNPs) can amplify the signal of N protein detection for a sandwich assay. The real-time analytical feature of the dual assays endows time-dependent sensitivity enhancement behavior, which provides a guideline to save analytical time. With those characteristics, the LSPR biosensor has been successfully used to rapidly identify 39 healthy volunteers and 39 COVID-19 patients infected with the ancestral or variant SARS-CoV-2. With the help of simple pretreatment, we obtain a true negative rate of 100% and a true positive rate of 92.3% with a short analysis time of 45 min using the direct assay. Further, the LSPR biosensor could also broaden the detection application range to the surface of cold-chain foods using a sandwich assay. Thus, the LSPR biosensor based on Ω-FO was demonstrated to have broad application potential to detect SARS-CoV-2 rapidly.
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Affiliation(s)
- Zewei Luo
- Research
Center of Analytical Instrumentation, School of Mechanical Engineering, Sichuan University, Chengdu 610065, China
- Research
Center of Analytical Instrumentation, College of Chemistry & Materials
Science, Northwest University, Xi’an 710069, China
| | - Yue Cheng
- Chengdu
Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan 610041, China
- Chengdu
Center for Disease Control and Prevention, Chengdu 610041, China
| | - Lu He
- Research
Center of Analytical Instrumentation, College of Chemistry & Materials
Science, Northwest University, Xi’an 710069, China
| | - Yanting Feng
- Research
Center of Analytical Instrumentation, College of Chemistry & Materials
Science, Northwest University, Xi’an 710069, China
| | - Yonghui Tian
- Research
Center of Analytical Instrumentation, College of Chemistry & Materials
Science, Northwest University, Xi’an 710069, China
| | - Zhenhua Chen
- Chengdu
Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan 610041, China
- Chengdu
Center for Disease Control and Prevention, Chengdu 610041, China
| | - Yaqiang Feng
- Research
Center of Analytical Instrumentation, College of Chemistry & Materials
Science, Northwest University, Xi’an 710069, China
| | - Yongxin Li
- West
China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Wenjun Xie
- Chengdu
Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan 610041, China
- Chengdu
Center for Disease Control and Prevention, Chengdu 610041, China
| | - Weiwei Huang
- Chengdu
Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan 610041, China
- Chengdu
Center for Disease Control and Prevention, Chengdu 610041, China
| | - Jiantong Meng
- Chengdu
Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan 610041, China
- Chengdu
Center for Disease Control and Prevention, Chengdu 610041, China
| | - Yu Li
- Research
Center of Analytical Instrumentation, Key Laboratory of Bio-resource
and Eco-environment, Ministry of Education, College of Life Science, Sichuan University, Chengdu 610065, China
| | - Fan He
- School
of Physics, Northwest University, Xi’an 710069, China
| | - Xu Wang
- Research
Center of Analytical Instrumentation, School of Mechanical Engineering, Sichuan University, Chengdu 610065, China
| | - Yixiang Duan
- Research
Center of Analytical Instrumentation, School of Mechanical Engineering, Sichuan University, Chengdu 610065, China
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43
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Li D, Sun C, Mei X, Yang L. Achieving broad availability of SARS-CoV-2 detections via smartphone-based analysis. Trends Analyt Chem 2023; 158:116878. [PMID: 36506266 PMCID: PMC9728015 DOI: 10.1016/j.trac.2022.116878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 12/01/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022]
Abstract
With the development of COVID-19, widely available tests are in great demand. Naked-eye SARS-CoV-2 test kits have recently been developed as home tests, but their sensitivity and accuracy are sometimes limited. Smartphones can convert various signals into digital information, potentially improving the sensitivity and accuracy of these home tests. Herein, we summarize smartphone-based detections for SARS-CoV-2. Optical detections of non-nucleic acids using various sensors and portable imaging systems, as well as nucleic acid analyses based on LAMP, CRISP, CATCH, and biosensors are discussed. Furthermore, different electrochemical detections were compared. We show results obtained using relatively complex equipment, complicated programming procedures, or custom smartphone apps, and describe methods for obtaining information with only simple setups and free software on smartphones. Then, the combined costs of typical smartphone-based detections are evaluated. Finally, the prospect of improving smartphone-based strategies to achieve broad availability of SARS-CoV-2 detection is proposed.
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Affiliation(s)
- Dan Li
- Jinzhou Medical University, Jinzhou, China
| | - Cai Sun
- AECC Shenyang Liming Aero-Engine Co, Ltd., Shenyang, China
| | - Xifan Mei
- Jinzhou Medical University, Jinzhou, China,Corresponding author
| | - Liqun Yang
- NHC Key Laboratory of Reproductive Health and Medical Genetics (China Medical University), Liaoning Research Institute of Family Planning (The Affiliated Reproductive Hospital of China Medical University), Shenyang, China,Corresponding author
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44
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Li Y, Qiao J, Han X, Zhao Z, Kou J, Zhang W, Man S, Ma L. Needs, Challenges and Countermeasures of SARS-CoV-2 Surveillance in Cold-Chain Foods and Packaging to Prevent Possible COVID-19 Resurgence: A Perspective from Advanced Detections. Viruses 2022; 15:120. [PMID: 36680157 PMCID: PMC9864631 DOI: 10.3390/v15010120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/22/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023] Open
Abstract
The pandemic caused by SARS-CoV-2 has a huge impact on the global economy. SARS-CoV-2 could possibly and potentially be transmitted to humans through cold-chain foods and packaging (namely good-to-human), although it mainly depends on a human-to-human route. It is imperative to develop countermeasures to cope with the spread of viruses and fulfil effective surveillance of cold-chain foods and packaging. This review outlined SARS-CoV-2-related cold-chain food incidents and current methods for detecting SARS-CoV-2. Then the needs, challenges and practicable countermeasures for SARS-CoV-2 detection, specifically for cold-chain foods and packaging, were underlined. In fact, currently established detection methods for SARS-CoV-2 are mostly used for humans; thus, these may not be ideally applied to cold-chain foods directly. Therefore, it creates a need to develop novel methods and low-cost, automatic, mini-sized devices specifically for cold-chain foods and packaging. The review intended to draw people's attention to the possible spread of SARS-CoV-2 with cold-chain foods and proposed perspectives for futuristic cold-chain foods monitoring during the pandemic.
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Affiliation(s)
- Yaru Li
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Jiali Qiao
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Xiao Han
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Zhiying Zhao
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Jun Kou
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Wenlu Zhang
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Shuli Man
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Long Ma
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
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45
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Wang F, Zhang X, Huangfu C, Zhi H, Wang Y, Feng L. Novel Paraquat Detection Strategy Enabled by Carboxylatopillar[5]arene Confined in Nanochannels on a Paper-Based Sensor. Anal Chem 2022; 94:18059-18066. [PMID: 36523210 DOI: 10.1021/acs.analchem.2c04586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Paper-based optical sensors have emerged as a promising technology for pesticide detection and attracted extensive attention. However, in practical analytical applications, it may suffer from limited sensitivity with traditional signal amplification strategies. Here, we developed a novel mesoporous silica-modified paper-based sensor for a sensitive capture and analysis of the pesticide paraquat. Carboxylatopillar[5]arene was covalently introduced into the nanochannels for the rapid capture of target paraquat molecules due to the mass transfer confinement effect within nanopores. In addition, the large specific surface area of mesoporous silica enabled high-abundance immobilization of the capture agent and promoted its binding efficiency, which, in turn, contributed to improving the sensitivity. This work highlights the great potential of nanochannels as a development platform for sensitive paper-based sensors that can be used to develop new systems for the detection of paraquat and even other pesticides.
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Affiliation(s)
- Fengya Wang
- Department of Instrumentation and Analytical Chemistry, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian116023, P. R. China.,University of Chinese Academy of Sciences, Beijing100049, P. R. China
| | - Xiaobo Zhang
- Department of Instrumentation and Analytical Chemistry, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian116023, P. R. China.,University of Chinese Academy of Sciences, Beijing100049, P. R. China
| | - Changxin Huangfu
- Department of Instrumentation and Analytical Chemistry, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian116023, P. R. China
| | - Hui Zhi
- Department of Instrumentation and Analytical Chemistry, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian116023, P. R. China
| | - Yu Wang
- Department of Instrumentation and Analytical Chemistry, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian116023, P. R. China
| | - Liang Feng
- Department of Instrumentation and Analytical Chemistry, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian116023, P. R. China
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46
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Sun Y, Xie Z, Pei F, Hu W, Feng S, Hao Q, Liu B, Mu X, Lei W, Tong Z. Trimetallic Au@Pd@Pt nanozyme-enhanced lateral flow immunoassay for the detection of SARS-CoV-2 nucleocapsid protein. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:5091-5099. [PMID: 36468531 DOI: 10.1039/d2ay01530g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
The rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seriously threatened global public health. Establishing a rapid and sensitive diagnostic test for early detection of the SARS-CoV-2 nucleocapsid protein is urgently required to defend against the pandemic. Herein, an enhanced lateral flow immunoassay (LFIA) was fabricated by trimetallic Au@Pd@Pt core-shell nanozymes for detection of the SARS-CoV-2 nucleocapsid protein. The Au@Pd@Pt nanozymes (Au@Pd@Pt NZs) synthesized via a one-pot method, with a dendrite morphology and uniform particle size, showed excellent peroxidase-like activity. Due to the perfect enzyme-like catalytic activity toward 3,3',5,5'-tetramethylbenzidine (TMB) in the presence of hydrogen peroxide (H2O2), the catalytic signal could be generated even by a tiny amount of Au@Pd@Pt NZs accumulated on the test strip. Therefore, rapid detection with higher sensitivity was achieved. The Au@Pd@Pt NZs-based LFIA provided a quantitative range of 0.05-100 ng mL-1 with a limit of detection of 0.037 ng mL-1, which was 17-fold lower than the LFIA without enhancement. The average recoveries from spiked samples were in the range of 92.5-107.9% with relative standard deviations all less than 4%, indicating the reliability and repeatability of the proposed LFIA. Additionally, the proposed LFIA could report results within 30 min using a microplate reader. In conclusion, the Au@Pd@Pt NZs-LFIA is a rapid, simple, and sensitive method for detecting the SARS-CoV-2 nucleocapsid protein.
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Affiliation(s)
- Yue Sun
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, JiangSu, China.
- State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
| | - Zihao Xie
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, JiangSu, China.
- State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
| | - Fubin Pei
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, JiangSu, China.
- State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
| | - Wei Hu
- State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
| | - Shasha Feng
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, JiangSu, China.
- State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
| | - Qingli Hao
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, JiangSu, China.
| | - Bing Liu
- State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
| | - Xihui Mu
- State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
| | - Wu Lei
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, JiangSu, China.
| | - Zhaoyang Tong
- State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
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47
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Chen W, Chen H, Liu Y, Wei H, Wang Y, Rong Z, Liu X. An integrated fluorescent lateral flow assay for multiplex point-of-care detection of four respiratory viruses. Anal Biochem 2022; 659:114948. [PMID: 36216143 DOI: 10.1016/j.ab.2022.114948] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 09/24/2022] [Accepted: 10/03/2022] [Indexed: 12/14/2022]
Abstract
This work established a highly sensitive and specific quantum dot nanobeads-based lateral flow assay for multiplex detection of four respiratory virus markers at point of care. The respiratory virus antigens were detected by fluorescent lateral flow strips within 20 min. The limits of detection for SARS-CoV-2 antigen, IAV antigen, IBV antigen, and ADV antigen were 0.01 ng/mL, 0.05 ng/mL, 0.31 ng/mL, and 0.40 ng/mL, respectively, which were superior to that of conventional AuNPs-based colorimetric lateral flow assay. The coefficients of variation of the test strip were 6.09%, 2.24%, 7.92%, and 12.43% for these four antigens, which indicated that the proposed method had good repeatability. The specificity of the detection system was verified by different combinations of these four respiratory viruses and several other respiratory pathogens. These results indicated that this method could simultaneously detect SARS-CoV-2, IAV, IBV and ADV in a short assay time, showing the remarkable potential for the rapid and multiplex detection of respiratory viruses in resource-limited settings.
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Affiliation(s)
- Wenji Chen
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121012, PR China; Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China
| | - Hong Chen
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China
| | - Ye Liu
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China
| | - Hongjuan Wei
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China
| | - Yunxiang Wang
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China
| | - Zhen Rong
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China.
| | - Xin Liu
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121012, PR China; Jinzhou Medical University Huludao Central Hospital Teaching Base, Huludao, 125001, PR China.
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48
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Fang B, Xiong Q, Duan H, Xiong Y, Lai W. Tailored quantum dots for enhancing sensing performance of lateral flow immunoassay. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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49
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Ganesh PS, Kim SY. A comparison of conventional and advanced electroanalytical methods to detect SARS-CoV-2 virus: A concise review. CHEMOSPHERE 2022; 307:135645. [PMID: 35817176 PMCID: PMC9270057 DOI: 10.1016/j.chemosphere.2022.135645] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 06/15/2023]
Abstract
Respiratory viruses are a serious threat to human wellbeing that can cause pandemic disease. As a result, it is critical to identify virus in a timely, sensitive, and precise manner. The present novel coronavirus-2019 (COVID-19) disease outbreak has increased these concerns. The research of developing various methods for COVID-19 virus identification is one of the most rapidly growing research areas. This review article compares and addresses recent improvements in conventional and advanced electroanalytical approaches for detecting COVID-19 virus. The popular conventional methods such as polymerase chain reaction (PCR), loop mediated isothermal amplification (LAMP), serology test, and computed tomography (CT) scan with artificial intelligence require specialized equipment, hours of processing, and specially trained staff. Many researchers, on the other hand, focused on the invention and expansion of electrochemical and/or bio sensors to detect SARS-CoV-2, demonstrating that they could show a significant role in COVID-19 disease control. We attempted to meticulously summarize recent advancements, compare conventional and electroanalytical approaches, and ultimately discuss future prospective in the field. We hope that this review will be helpful to researchers who are interested in this interdisciplinary field and desire to develop more innovative virus detection methods.
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Affiliation(s)
- Pattan-Siddappa Ganesh
- Interaction Laboratory, Advanced Technology Research Center, Future Convergence Engineering, Korea University of Technology and Education (KoreaTech), Cheonan-si, Chungcheongnam-do, 330-708, Republic of Korea.
| | - Sang-Youn Kim
- Interaction Laboratory, Advanced Technology Research Center, Future Convergence Engineering, Korea University of Technology and Education (KoreaTech), Cheonan-si, Chungcheongnam-do, 330-708, Republic of Korea.
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50
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Wang G, Yang X, Dong H, Tu Z, Zhou Y, Rong Z, Wang S. Recombinase Polymerase Amplification Combined with Fluorescence Immunochromatography Assay for On-Site and Ultrasensitive Detection of SARS-CoV-2. Pathogens 2022; 11:1252. [PMID: 36365002 PMCID: PMC9692701 DOI: 10.3390/pathogens11111252] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 10/24/2022] [Accepted: 10/24/2022] [Indexed: 11/19/2023] Open
Abstract
This study established a portable and ultrasensitive detection method based on recombinase polymerase amplification (RPA) combined with high-sensitivity multilayer quantum dot (MQD)-based immunochromatographic assay (ICA) to detect the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The RPA-MQD-based ICA method is reported for the first time and has the following advantages: (i) RPA is free from the constraints of instruments and can be promoted in point-of-care testing (POCT) scenarios, (ii) fluorescence ICA enhances the portability of detection operation so that the entire operation time is controlled within 1 h, and (iii) compared with common colorimetric-based RPA-ICA, the proposed assay used MQD to provide strong and quantifiable fluorescence signal, thus enhancing the detection sensitivity. With this strategy, the proposed RPA-MQD-based ICA can amplify and detect the SARS-CoV-2 nucleic acid on-site with a sensitivity of 2 copies/reaction, which is comparable to the sensitivity of commercial reverse transcription quantitative polymerase chain reaction (RT-qPCR) kits. Moreover, the designed primers did not cross-react with other common respiratory viruses, including adenovirus, influenza virus A, and influenza virus B, suggesting high specificity. Thus, the established portable method can sensitively detect SARS-CoV-2 nucleic acid without relying on equipment, having good application prospects in SARS-CoV-2 detection scenarios under non-lab conditions.
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Affiliation(s)
- Guangyu Wang
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China
- National Institutes for Food and Drug Control, Beijing 100050, China
| | - Xingsheng Yang
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China
| | - Hao Dong
- University of Science and Technology of China, Hefei 230036, China
| | - Zhijie Tu
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China
| | - Yong Zhou
- National Institutes for Food and Drug Control, Beijing 100050, China
| | - Zhen Rong
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China
| | - Shengqi Wang
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China
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