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Jiang Z, Qin Y, Zhang L, Xing G, Shi Z, Song W, Dobrikov GM, Chen J, Su S. Development and application of a colloidal-gold immunochromatographic strip for detecting Getah virus antibodies. Appl Microbiol Biotechnol 2024; 108:355. [PMID: 38822832 PMCID: PMC11144135 DOI: 10.1007/s00253-024-13168-5] [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: 09/26/2023] [Revised: 04/18/2024] [Accepted: 05/02/2024] [Indexed: 06/03/2024]
Abstract
Getah virus (GETV) is a re-emerging mosquito-borne alphavirus that is highly pathogenic, mainly to pigs and horses. There are no vaccines or treatments available for GETV in swine in China. Therefore, the development of a simple, rapid, specific, and sensitive serological assay for GETV antibodies is essential for the prevention and control of GETV. Current antibody monitoring methods are time-consuming, expensive, and dependent on specialized instrumentation, and these features are not conducive to rapid detection in clinical samples. To address these problem, we developed immunochromatographic test strips (ICTS) using eukaryotically expressed soluble recombinant p62-E1 protein of GETV as a labelled antigen, which has good detection sensitivity and no cross-reactivity with other common porcine virus-positive sera. The ICTS is highly compatible with IFA and ELISA and can be stored for 1 month at 37 °C and for at least 3 months at room temperature. Hence, p62-E1-based ICTS is a rapid, accurate, and convenient method for rapid on-site detection of GETV antibodies. KEY POINTS: • We established a rapid antibody detection method that can monitor GETV infection • We developed colloidal gold test strips with high sensitivity and specificity • The development of colloidal gold test strips will aid in the field serologic detection of GETV.
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Affiliation(s)
- Zhiwen Jiang
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China
- Sanya Institute of Nanjing Agricultural University, Sanya, China
| | - Ying Qin
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China
- Sanya Institute of Nanjing Agricultural University, Sanya, China
| | - Letian Zhang
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China
| | - Gang Xing
- MOA Key Laboratory of Animal Virology, Zhejiang University, Hangzhou, 310058, China
| | - Zhiyu Shi
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China
| | - Wanjie Song
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China
| | - Georgi M Dobrikov
- Institute of Organic Chemistry With Centre of Phytochemistry, Bulgarian Academy of Sciences, Acad. G. Bonchev Street, Bl. 9, 1113, Sofia, Bulgaria
| | - Jie Chen
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China
| | - Shuo Su
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China.
- Sanya Institute of Nanjing Agricultural University, Sanya, China.
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2
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Fogaça MBT, Saavedra DP, Lopes-Luz L, Ribeiro BM, da Silva Pinto L, Nagata T, Conceição FR, Stefani MMDA, Buhrer-Sékula S. Development and evaluation of a Lateral flow immunoassay (LFIA) prototype for the detection of IgG anti-SARS-CoV-2 antibodies. Heliyon 2024; 10:e29938. [PMID: 38707409 PMCID: PMC11066624 DOI: 10.1016/j.heliyon.2024.e29938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/19/2024] [Accepted: 04/17/2024] [Indexed: 05/07/2024] Open
Abstract
Lateral flow immunoassays (LFIA) for antibody detection represent cost-effective and user-friendly tools for serology assessment. This study evaluated a new LFIA prototype developed with a recombinant chimeric antigen from the spike/S and nucleocapsid/N proteins to detect anti-SARS-CoV-2 IgG antibodies. The evaluation of LFIA sensitivity and specificity used 811 serum samples from 349 hospitalized, SARS-CoV-2 RT-qPCR positive COVID-19 patients, collected at different time points and 193 serum samples from healthy controls. The agreement between ELISA results with the S/N chimeric antigen and LFIA results was calculated. The LFIA prototype for SARS-CoV-2 using the chimeric S/N protein demonstrated 85 % sensitivity on the first week post symptoms onset, reaching 94 % in samples collected at the fourth week of disease. The agreement between LFIA and ELISA with the same antigen was 92.7 %, 0.827 kappa Cohen value (95 % CI [0.765-0.889]). Further improvements are needed to standardize the prototype for whole blood use. The inclusion of the novel chimeric S + N antigen in the COVID-19 IgG antibody LFIA demonstrated optimal agreement with results from a comparable ELISA, highlighting the prototype's potential for accurate large-scale serologic assessments in the field in a rapid and user-friendly format.
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Affiliation(s)
- Matheus Bernardes Torres Fogaça
- Laboratório de Desenvolvimento e Produção de Testes Rápidos, Centro Multiusuário de Pesquisa de Bioinsumos e Tecnologias em Saúde, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, 74605-050, Brazil
- Innovation Hub in Point of Care Technologies, Universidade Federal de Goiás-Merck S/A. Alliance, 74690-900, Goiânia, GO, Brazil
| | - Djairo Pastor Saavedra
- Laboratório de Desenvolvimento e Produção de Testes Rápidos, Centro Multiusuário de Pesquisa de Bioinsumos e Tecnologias em Saúde, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, 74605-050, Brazil
- Innovation Hub in Point of Care Technologies, Universidade Federal de Goiás-Merck S/A. Alliance, 74690-900, Goiânia, GO, Brazil
| | - Leonardo Lopes-Luz
- Laboratório de Desenvolvimento e Produção de Testes Rápidos, Centro Multiusuário de Pesquisa de Bioinsumos e Tecnologias em Saúde, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, 74605-050, Brazil
- Innovation Hub in Point of Care Technologies, Universidade Federal de Goiás-Merck S/A. Alliance, 74690-900, Goiânia, GO, Brazil
| | - Bergmann Morais Ribeiro
- Departamento de Biologia Celular, Campus Darcy Ribeiro, Universidade de Brasília, Brasília, DF, 70910-900, Brazil
| | - Luciano da Silva Pinto
- Centro de Desenvolvimento Tecnológico, Núcleo de Biotecnologia, Laboratório de Imunologia, Aplicada, Universidade Federal de Pelotas, Pelotas, 96010-610, RS, Brazil
| | - Tatsuya Nagata
- Departamento de Biologia Celular, Campus Darcy Ribeiro, Universidade de Brasília, Brasília, DF, 70910-900, Brazil
| | - Fabricio Rochedo Conceição
- Centro de Desenvolvimento Tecnológico, Núcleo de Biotecnologia, Laboratório de Imunologia, Aplicada, Universidade Federal de Pelotas, Pelotas, 96010-610, RS, Brazil
| | - Mariane Martins de Araújo Stefani
- Laboratório de Desenvolvimento e Produção de Testes Rápidos, Centro Multiusuário de Pesquisa de Bioinsumos e Tecnologias em Saúde, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, 74605-050, Brazil
- Innovation Hub in Point of Care Technologies, Universidade Federal de Goiás-Merck S/A. Alliance, 74690-900, Goiânia, GO, Brazil
| | - Samira Buhrer-Sékula
- Laboratório de Desenvolvimento e Produção de Testes Rápidos, Centro Multiusuário de Pesquisa de Bioinsumos e Tecnologias em Saúde, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, GO, 74605-050, Brazil
- Innovation Hub in Point of Care Technologies, Universidade Federal de Goiás-Merck S/A. Alliance, 74690-900, Goiânia, GO, Brazil
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3
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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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Cavalera S, Di Nardo F, Serra T, Testa V, Baggiani C, Rosati S, Colitti B, Brienza L, Colasanto I, Nogarol C, Cosseddu D, Guiotto C, Anfossi L. A semi-quantitative visual lateral flow immunoassay for SARS-CoV-2 antibody detection for the follow-up of immune response to vaccination or recovery. J Mater Chem B 2024; 12:2139-2149. [PMID: 38315042 DOI: 10.1039/d3tb02895j] [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: 02/07/2024]
Abstract
The lateral flow immunoassay (LFIA) technique is largely employed for the point-of-care detection of antibodies especially for revealing the immune response in serum. Visual LFIAs usually provide the qualitative yes/no detection of antibodies, while quantification requires some equipment, making the assay more expensive and complicated. To achieve visual semi-quantification, the alignment of several lines (made of the same antigen) along a LFIA strip has been proposed. The numbering of the reacting lines has been used to correlate with the quantity of some biomarkers in serum. Here, we designed the first semiquantitative LFIA for detecting antibodies and applied it to classify the immune response to SARS-CoV-2 raised by vaccination or natural infection. We used a recombinant spike receptor-binding domain (RBD) as the specific capture reagent to draw two test lines. The detection reagent was selected among three possible ligands that are able to bind to anti-spike human antibodies: the same RBD, staphylococcal protein A, and anti-human immunoglobulin G antibodies. The most convenient detector, adsorbed on gold nanoparticles, was chosen based on the highest correlation with an antibody titre of 171 human sera, measured by a reference serological method, and was the RBD (Spearman's rho = 0.84). Incorporated into the semiquantitative LFIA, it confirmed the ability to discriminate high- and low-titre samples and to classify them into two classes (Dunn's test, P < 0.05). The proposed approach enabled the semiquantification of the immune response to SARS-CoV-2 by the unaided eye observation, thus overcoming the requirement of costly and complicated equipment, and represents a general strategy for the development of semiquantitative serological LFIAs.
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Affiliation(s)
- Simone Cavalera
- Department of Chemistry, University of Turin, Via Pietro Giuria 7, Turin, Italy.
| | - Fabio Di Nardo
- Department of Chemistry, University of Turin, Via Pietro Giuria 7, Turin, Italy.
| | - Thea Serra
- Department of Chemistry, University of Turin, Via Pietro Giuria 7, Turin, Italy.
| | - Valentina Testa
- Department of Chemistry, University of Turin, Via Pietro Giuria 7, Turin, Italy.
| | - Claudio Baggiani
- Department of Chemistry, University of Turin, Via Pietro Giuria 7, Turin, Italy.
| | - Sergio Rosati
- Department of Veterinary Science, University of Turin, Largo Braccini 2, Grugliasco (TO), Italy
| | - Barbara Colitti
- Department of Veterinary Science, University of Turin, Largo Braccini 2, Grugliasco (TO), Italy
| | - Ludovica Brienza
- Department of Veterinary Science, University of Turin, Largo Braccini 2, Grugliasco (TO), Italy
| | - Irene Colasanto
- Department of Veterinary Science, University of Turin, Largo Braccini 2, Grugliasco (TO), Italy
| | - Chiara Nogarol
- In3diagnostic srl, Largo Braccini 2, Grugliasco (TO), Italy
| | - Domenico Cosseddu
- A.O. Ordine Mauriziano, Ospedale Umberto I di Torino, Via Magellano 1, Turin, Italy
| | - Cristina Guiotto
- A.O. Ordine Mauriziano, Ospedale Umberto I di Torino, Via Magellano 1, Turin, Italy
| | - Laura Anfossi
- Department of Chemistry, University of Turin, Via Pietro Giuria 7, Turin, Italy.
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5
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Ferrara G, Colitti B, Flores-Ramirez G, Pagnini U, Iovane G, Rosati S, Montagnaro S. Detection of Coxiella antibodies in ruminants using a SucB recombinant antigen. J Vet Diagn Invest 2023; 35:721-726. [PMID: 37705242 PMCID: PMC10621550 DOI: 10.1177/10406387231199964] [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] [Indexed: 09/15/2023] Open
Abstract
The detection of Coxiella burnetii in ruminants remains challenging despite the use of new technology and the accumulation of novel knowledge. Serology tools, the primary methods of infection surveillance in veterinary medicine, have limitations. We used recombinant antigen production to develop an ELISA based on the SucB protein, one of the major immunodominant antigens described in humans and laboratory animals. We produced the antigen successfully in an Escherichia coli heterologous system, confirmed by sequencing and mass spectrometry, and seen as a band of ~50 kDa in SDS-PAGE and on western blot analysis. We compared the performance of the recombinant ELISA with a commercial ELISA. We observed agreement of 83.5% and a substantial Cohen κ value of 0.67 in our pilot study.
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Affiliation(s)
- Gianmarco Ferrara
- Department of Veterinary Medicine and Animal Productions, University of Naples, “Federico II”, Naples, Italy
| | - Barbara Colitti
- Department of Veterinary Science, University of Turin, Grugliasco, TO, Italy
| | | | - Ugo Pagnini
- Department of Veterinary Medicine and Animal Productions, University of Naples, “Federico II”, Naples, Italy
| | - Giuseppe Iovane
- Department of Veterinary Medicine and Animal Productions, University of Naples, “Federico II”, Naples, Italy
| | - Sergio Rosati
- Department of Veterinary Science, University of Turin, Grugliasco, TO, Italy
| | - Serena Montagnaro
- Department of Veterinary Medicine and Animal Productions, University of Naples, “Federico II”, Naples, Italy
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Yari P, Liang S, Chugh VK, Rezaei B, Mostufa S, Krishna VD, Saha R, Cheeran MCJ, Wang JP, Gómez-Pastora J, Wu K. Nanomaterial-Based Biosensors for SARS-CoV-2 and Future Epidemics. Anal Chem 2023; 95:15419-15449. [PMID: 37826859 DOI: 10.1021/acs.analchem.3c01522] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Affiliation(s)
- Parsa Yari
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Shuang Liang
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Vinit Kumar Chugh
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Bahareh Rezaei
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Shahriar Mostufa
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Venkatramana Divana Krishna
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Renata Saha
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Maxim C-J Cheeran
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Jian-Ping Wang
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Jenifer Gómez-Pastora
- Department of Chemical Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Kai Wu
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
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G VCVS, Reddy PVJ, Suravajhala P, Suravajhala R, V UK, Pb KK, Tc V, Polavarapu R. Performance evaluation of in-house developed Covid-19 IgG/IgM antibody rapid diagnostic kit. AMB Express 2023; 13:116. [PMID: 37848586 PMCID: PMC10581998 DOI: 10.1186/s13568-023-01620-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 10/03/2023] [Indexed: 10/19/2023] Open
Abstract
In the interest of preventing the Coronavirus Disease 2019 (COVID-19) pandemic from spreading, it is crucial to promptly identify and confine afflicted patients. Serological antibody testing is a significant diagnostic technique that is increasingly employed in clinics, however its clinical use is still being investigated. The present study was carried out to scrutinize how well Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) antibody testing using in-house developed rapid antibody assay worked against the chemiluminescence (CLIA) assay. Either IgG positive (IgG + IgM-) or IgM positive (IgM + IgG-); both IgG and IgM positive (IgM + IgG+); and negatives (IgM- IgG-) have been evaluated. A total of 300 samples with diverse age and sexual identity data were included. The combined sensitivities for IgG + IgM+, IgM + IgG-, IgG + IgM- and IgG-IgM- were evaluated. More accurate diagnostic results may be obtained using molecular diagnostic tools. The Antibody Rapid Diagnostic kit's (in-house developed) performance was satisfactory for determining the presence of Covid-19 infection with IgG and IgM positivity. The IgG and IgM positivity helped evaluate the immune response in the individual for the COVID-19 infection. These results lend support to the additional utilisation of serological antibody tests in the COVID-19 diagnosis.
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Affiliation(s)
- Vinaya Chandu Vidya Sagar G
- Genomix CARL Pvt. Ltd, Pulivendula, Andhra Pradesh, 516 390, India
- Department of Biotechnology, Vignan's Foundation for Science, Technology & Research Deemed to be University, Vadlamudi, Guntur, Andhra Pradesh, 522 213, India
| | | | - Prashanth Suravajhala
- Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, 690525, India.
- Bioclues.org, Hyderabad, India.
| | - Renuka Suravajhala
- Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, 690525, India
| | - Uday Kiran V
- Genomix CARL Pvt. Ltd, Pulivendula, Andhra Pradesh, 516 390, India
| | - Kavi Kishor Pb
- Department of Genetics, Osmania University, Hyderabad, Telangana, 500 007, India
| | - Venkateswarulu Tc
- Department of Biotechnology, Vignan's Foundation for Science, Technology & Research Deemed to be University, Vadlamudi, Guntur, Andhra Pradesh, 522 213, India
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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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9
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Sotnikov DV, Byzova NA, Zherdev AV, Xu Y, Dzantiev BB. Comparison of Three Lateral Flow Immunoassay Formats for the Detection of Antibodies against the SARS-CoV-2 Antigen. BIOSENSORS 2023; 13:750. [PMID: 37504148 PMCID: PMC10376990 DOI: 10.3390/bios13070750] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 07/09/2023] [Accepted: 07/18/2023] [Indexed: 07/29/2023]
Abstract
Reliable detection of specific antibodies against pathogens by lateral flow immunoassay (LFIA) greatly depends on the composition of the detectable complex and the order of its assembly. We compared three LFIA formats for revealing anti-SARS-CoV-2 antibodies in sera with the following detected complexes in the analytical zone of the strip: antigen-antibodies-labeled immunoglobulin-binding protein (Scheme A); antigen-antibodies-labeled antigen (Scheme B); and immunoglobulin-binding protein-antibodies-labeled antigen (Scheme C). The lowest detection limit was observed for Scheme C, and was equal to 10 ng/mL of specific humanized monoclonal antibodies. When working with pooled positive sera, Scheme C had a detection limit 15 times lower than Scheme B and 255 times lower than Scheme A. Due to the high sensitivity of Scheme C, its application for the panel of human sera (n = 22) demonstrated 100% diagnostic specificity and sensitivity. These consistent results be useful for designing the format of LFIA serodiagnosis for other diseases.
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Affiliation(s)
- Dmitriy V Sotnikov
- A.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, 119071 Moscow, Russia
| | - Nadezhda A Byzova
- A.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, 119071 Moscow, Russia
| | - Anatoly V Zherdev
- A.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, 119071 Moscow, Russia
| | - Youchun Xu
- State Key Laboratory of Membrane Biology, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Boris B Dzantiev
- A.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, 119071 Moscow, Russia
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10
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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: 11] [Impact Index Per Article: 11.0] [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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11
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Liu Y, Qin Z, Zhou J, Jia X, Li H, Wang X, Chen Y, Sun Z, He X, Li H, Wang G, Chang H. Nano-biosensor for SARS-CoV-2/COVID-19 detection: methods, mechanism and interface design. RSC Adv 2023; 13:17883-17906. [PMID: 37323463 PMCID: PMC10262965 DOI: 10.1039/d3ra02560h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 05/26/2023] [Indexed: 06/17/2023] Open
Abstract
The epidemic of coronavirus disease 2019 (COVID-19) was a huge disaster to human society. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which led to COVID-19, has resulted in a large number of deaths. Even though the reverse transcription-polymerase chain reaction (RT-PCR) is the most efficient method for the detection of SARS-CoV-2, the disadvantages (such as long detection time, professional operators, expensive instruments, and laboratory equipment) limit its application. In this review, the different kinds of nano-biosensors based on surface-enhanced Raman scattering (SERS), surface plasmon resonance (SPR), field-effect transistor (FET), fluorescence methods, and electrochemical methods are summarized, starting with a concise description of their sensing mechanism. The different bioprobes (such as ACE2, S protein-antibody, IgG antibody, IgM antibody, and SARS-CoV-2 DNA probes) with different bio-principles are introduced. The key structural components of the biosensors are briefly introduced to give readers an understanding of the principles behind the testing methods. In particular, SARS-CoV-2-related RNA mutation detection and its challenges are also briefly described. We hope that this review will encourage readers with different research backgrounds to design SARS-CoV-2 nano-biosensors with high selectivity and sensitivity.
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Affiliation(s)
- Yansheng Liu
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
| | - Zhenle Qin
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Jin Zhou
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiaobo Jia
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Hongli Li
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiaohong Wang
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Yating Chen
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Zijun Sun
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiong He
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Hongda Li
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
| | - Guofu Wang
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Haixin Chang
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
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12
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Guzman NA, Guzman DE, Blanc T. Advancements in portable instruments based on affinity-capture-migration and affinity-capture-separation for use in clinical testing and life science applications. J Chromatogr A 2023; 1704:464109. [PMID: 37315445 DOI: 10.1016/j.chroma.2023.464109] [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: 04/01/2023] [Revised: 05/23/2023] [Accepted: 05/25/2023] [Indexed: 06/16/2023]
Abstract
The shift from testing at centralized diagnostic laboratories to remote locations is being driven by the development of point-of-care (POC) instruments and represents a transformative moment in medicine. POC instruments address the need for rapid results that can inform faster therapeutic decisions and interventions. These instruments are especially valuable in the field, such as in an ambulance, or in remote and rural locations. The development of telehealth, enabled by advancements in digital technologies like smartphones and cloud computing, is also aiding in this evolution, allowing medical professionals to provide care remotely, potentially reducing healthcare costs and improving patient longevity. One notable POC device is the lateral flow immunoassay (LFIA), which played a major role in addressing the COVID-19 pandemic due to its ease of use, rapid analysis time, and low cost. However, LFIA tests exhibit relatively low analytical sensitivity and provide semi-quantitative information, indicating either a positive, negative, or inconclusive result, which can be attributed to its one-dimensional format. Immunoaffinity capillary electrophoresis (IACE), on the other hand, offers a two-dimensional format that includes an affinity-capture step of one or more matrix constituents followed by release and electrophoretic separation. The method provides greater analytical sensitivity, and quantitative information, thereby reducing the rate of false positives, false negatives, and inconclusive results. Combining LFIA and IACE technologies can thus provide an effective and economical solution for screening, confirming results, and monitoring patient progress, representing a key strategy in advancing diagnostics in healthcare.
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Affiliation(s)
- Norberto A Guzman
- Princeton Biochemicals, Inc., Princeton, NJ 08543, United States of America.
| | - Daniel E Guzman
- Princeton Biochemicals, Inc., Princeton, NJ 08543, United States of America; Columbia University Irving Medical Center, New York, NY 10032, United States of America
| | - Timothy Blanc
- Eli Lilly and Company, Branchburg, NJ 08876, United States of America
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13
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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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14
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Alhabbab RY. Economical and Easily Obtainable Tools to Manually Develop Lateral Flow Immunoassay Strips. ACS OMEGA 2023; 8:9170-9178. [PMID: 36936315 PMCID: PMC10018695 DOI: 10.1021/acsomega.2c07014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
The development of inexpensive and highly functional lateral flow devices, which utilize simple and affordable tools, can make them accessible to many populations with insufficient resources. Therefore, this study aims to provide a method to overcome the cost challenges associated with using expensive manufacturing technologies and machinery, particularly during pandemics and upon urgent need. Here, in-house lateral flow strips to detect serum antibodies were developed using low-priced and easily available tools such as adhesive tape and CytoSep layers. The developed lateral flow immunoassay strips presented here produced signals with 93.3 and 96.6% sensitivity for SARS-CoV-2 nucleocapsid protein-specific IgM and IgG antibodies, respectively. The specificity obtained from the developed strips was 96.6% for SARS-CoV-2 nucleocapsid protein-specific IgM and 100% for the IgG antibodies by applying only 5 μL from the serum samples. The proposed design was entirely made manually to ensure a method that would make lateral flow devices available to many populations in need around the globe.
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Affiliation(s)
- Rowa Y. Alhabbab
- Vaccines
and Immunotherapy Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Department
of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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15
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He J, Zhu S, Zhou J, Jiang W, Yin L, Su L, Zhang X, Chen Q, Li X. Rapid detection of SARS-CoV-2: The gradual boom of lateral flow immunoassay. Front Bioeng Biotechnol 2023; 10:1090281. [PMID: 36704307 PMCID: PMC9871317 DOI: 10.3389/fbioe.2022.1090281] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 12/13/2022] [Indexed: 01/12/2023] Open
Abstract
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is still in an epidemic situation, which poses a serious threat to the safety of people and property. Rapid diagnosis and isolation of infected individuals are one of the important methods to control virus transmission. Existing lateral flow immunoassay techniques have the advantages of rapid, sensitive, and easy operation, and some new options have emerged with the continuous development of nanotechnology. Such as lateral flow immunoassay test strips based on colorimetric-fluorescent dual-mode and gold nanoparticles, Surface Enhanced Raman Scattering, etc., these technologies have played an important role in the rapid diagnosis of COVID-19. In this paper, we summarize the current research progress of lateral flow immunoassay in the field of Severe Acute Respiratory Syndrome Coronavirus 2 infection diagnosis, analyze the performance of Severe Acute Respiratory Syndrome Coronavirus 2 lateral flow immunoassay products, review the advantages and limitations of different detection methods and markers, and then explore the competitive CRISPR-based nucleic acid chromatography detection method. This method combines the advantages of gene editing and lateral flow immunoassay and can achieve rapid and highly sensitive lateral flow immunoassay detection of target nucleic acids, which is expected to be the most representative method for community and clinical point-of-care testing. We hope that researchers will be inspired by this review and strive to solve the problems in the design of highly sensitive targets, the selection of detection methods, and the enhancement of CRISPR technology, to truly achieve rapid, sensitive, convenient, and specific detection of novel coronaviruses, thus promoting the development of novel coronavirus diagnosis and contributing our modest contribution to the world's fight against epidemics.
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16
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Lu C, Wang J, Pan L, Gu X, Lu W, Chen D, Zhang C, Ye Q, Xiao C, Liu P, Tang Y, Tang B, Huang G, Fang J, Jiang H. Rapid detection of multiple resistance genes to last-resort antibiotics in Enterobacteriaceae pathogens by recombinase polymerase amplification combined with lateral flow dipstick. Front Microbiol 2023; 13:1062577. [PMID: 36687650 PMCID: PMC9850091 DOI: 10.3389/fmicb.2022.1062577] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 12/12/2022] [Indexed: 01/07/2023] Open
Abstract
The worrying emergence of multiple resistance genes to last-resort antibiotics in food animals and human populations throughout the food chain and relevant environments has been increasingly reported worldwide. Enterobacteriaceae pathogens are considered the most common reservoirs of such antibiotic resistance genes (ARGs). Thus, a rapid, efficient and accurate detection method to simultaneously screen and monitor such ARGs in Enterobacteriaceae pathogens has become an urgent need. Our study developed a recombinase polymerase amplification (RPA) assay combined with a lateral flow dipstick (LFD) for simultaneously detecting predominant resistance genes to last-resort antibiotics of Enterobacteriaceae pathogens, including mcr-1, blaNDM-1 and tet(X4). It is allowed to complete the entire process, including crude DNA extraction, amplification as well as reading, within 40 min at 37°C, and the detection limit is 101 copies/μl for mcr-1, blaNDM-1 and tet(X4). Sensitivity analysis showed obvious association of color signals with the template concentrations of mcr-1, blaNDM-1 and tet(X4) genes in Enterobacteriaceae pathogens using a test strip reader (R 2 = 0.9881, R 2 = 0.9745, and R 2 = 0.9807, respectively), allowing for quantitative detection using multiplex RPA-LFD assays. Therefore, the RPA-LFD assay can suitably help to detect multiple resistance genes to last-resort antibiotics in foodborne pathogens and has potential applications in the field.
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Affiliation(s)
- Chenze Lu
- Key Laboratory of Specialty Agri-Products Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, China
| | - Jingwen Wang
- Key Laboratory of Specialty Agri-Products Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, China
| | - Leiming Pan
- Zhejiang Hongzheng Testing Co., Ltd, Ningbo, Zhejiang, China
| | - Xiuying Gu
- Zhejiang Gongzheng Testing Center Co., Ltd, Hangzhou, Zhejiang, China
| | - Wenjing Lu
- Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Di Chen
- Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Cen Zhang
- Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Qin Ye
- Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Chaogeng Xiao
- Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Pengpeng Liu
- Key Laboratory of Biosafety Detection for Zhejiang Market Regulation, Zhejiang Fangyuan Testing Group LO.T, Hangzhou, Zhejiang, China
| | - Yulong Tang
- Hangzhou Tiannie Technology Co., Ltd, Hangzhou, Zhejiang, China
| | - Biao Tang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products and Institute of Agro-Product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China
| | - Guangrong Huang
- Key Laboratory of Specialty Agri-Products Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, China
| | - Jiehong Fang
- Key Laboratory of Specialty Agri-Products Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, China,*Correspondence: Jiehong Fang, ✉
| | - Han Jiang
- Key Laboratory of Specialty Agri-Products Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, China,Han Jiang, ✉
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17
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Zhou Q, Chen Y, Wang R, Jia F, He F, Yuan F. Advances of CRISPR-Cas13 system in COVID-19 diagnosis and treatment. Genes Dis 2022; 10:S2352-3042(22)00317-8. [PMID: 36591005 PMCID: PMC9793954 DOI: 10.1016/j.gendis.2022.11.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 11/15/2022] [Accepted: 11/17/2022] [Indexed: 12/28/2022] Open
Abstract
The ongoing global pandemic of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in over 570 million infections and 6 million deaths worldwide. Early detection and quarantine are essential to arrest the spread of the highly contagious COVID-19. High-risk groups, such as older adults and individuals with comorbidities, can present severe symptoms, including pyrexia, pertussis, and acute respiratory distress syndrome, on SARS-CoV-2 infection that can prove fatal, demonstrating a clear need for high-throughput and sensitive platforms to detect and eliminate SARS-CoV-2. CRISPR-Cas13, an emerging CRISPR system targeting RNA with high specificity and efficiency, has recently drawn much attention for COVID-19 diagnosis and treatment. Here, we summarized the current research progress on CRISPR-Cas13 in COVID-19 diagnosis and treatment and highlight the challenges and future research directions of CRISPR-Cas13 for effectively counteracting COVID-19.
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Affiliation(s)
| | | | - Ruolei Wang
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Fengjing Jia
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Feng He
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Fuwen Yuan
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
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18
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Yakoubi A, Dhafer CEB. Advanced Plasmonic Nanoparticle-Based Techniques for the Prevention, Detection, and Treatment of Current COVID-19. PLASMONICS (NORWELL, MASS.) 2022; 18:311-347. [PMID: 36588744 PMCID: PMC9786532 DOI: 10.1007/s11468-022-01754-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 11/20/2022] [Indexed: 06/16/2023]
Abstract
Coronavirus is an ongoing global pandemic caused by severe acute respiratory syndrome coronavirus 2. Coronavirus disease 2019 known as COVID-19 is the worst pandemic since World War II. The outbreak of COVID-19 had a significant repercussion on the health, economy, politics, and environment, making coronavirus-related issues more complicated and becoming one of the most challenging pandemics of the last century with deadly outcomes and a high rate of the reproduction number. There are thousands of different types - or variants - of COVID circulating across the world. Viruses mutate all the time; it emphasizes the critical need for the designing of efficient vaccines to prevent virus infection, early and fast diagnosis, and effective antiviral and protective therapeutics. In this regard, the use of nanotechnology offers new opportunities for the development of novel strategies in terms of prevention, diagnosis, and treatment of COVID-19. This review presents an outline of the platforms developed using plasmonic nanoparticles in the detection, treatment, and prevention of SARS-CoV-2. We select the best strategies in each of these approaches. The properties of metallic plasmon NPs and their relevance in the development of novel point-of-care diagnosis approaches for COVID-19 are highlighted. Also, we discuss the current challenges and the future perspectives looking towards the clinical translation and the commercial aspects of nanotechnology and plasmonic NP-based diagnostic tools and therapy to fight COVID-19 pandemic. The article could be of significance for researchers dedicated to developing suitable plasmonic detection tools and therapy approaches for COVID-19 viruses and future pandemics.
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Affiliation(s)
- Afef Yakoubi
- Laboratory of Hetero-organic Compounds and Nanostructured Materials, Chemistry Department, Faculty of Sciences Bizerte, University of Carthage, LR 18 ES11, 7021 Bizerte, Tunisia
| | - Cyrine El Baher Dhafer
- Chemistry Department College of Science, Jouf University, P.O Box: 2014, Sakaka, Saudi Arabia
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19
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Rong G, Zheng Y, Li X, Guo M, Su Y, Bian S, Dang B, Chen Y, Zhang Y, Shen L, Jin H, Yan R, Wen L, Zhu P, Sawan M. A high-throughput fully automatic biosensing platform for efficient COVID-19 detection. Biosens Bioelectron 2022; 220:114861. [PMCID: PMC9630290 DOI: 10.1016/j.bios.2022.114861] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 09/19/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022]
Abstract
We propose a label-free biosensor based on a porous silicon resonant microcavity and localized surface plasmon resonance. The biosensor detects SARS-CoV-2 antigen based on engineered trimeric angiotensin converting enzyme-2 binding protein, which is conserved across different variants. Robotic arms run the detection process including sample loading, incubation, sensor surface rinsing, and optical measurements using a portable spectrometer. Both the biosensor and the optical measurement system are readily scalable to accommodate testing a wide range of sample numbers. The limit of detection is 100 TCID50/ml. The detection time is 5 min, and the throughput of one single robotic site is up to 384 specimens in 30 min. The measurement interface requires little training, has standard operation, and therefore is suitable for widespread use in rapid and onsite COVID-19 screening or surveillance.
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Affiliation(s)
- Guoguang Rong
- CenBRAIN Neurotech, School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang, 310030, China,School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang, 310030, China,Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, 310024, China
| | - Yuqiao Zheng
- CenBRAIN Neurotech, School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang, 310030, China,School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang, 310030, China,Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, 310024, China
| | - Xiangqing Li
- School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang, 310030, China,Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, 310024, China
| | - Mengzhun Guo
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake, University, Hangzhou, Zhejiang, 310030, China,Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, 310030, China,Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, 310030, China
| | - Yi Su
- CenBRAIN Neurotech, School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang, 310030, China,School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang, 310030, China,Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, 310024, China
| | - Sumin Bian
- CenBRAIN Neurotech, School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang, 310030, China,School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang, 310030, China,Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, 310024, China
| | - Bobo Dang
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake, University, Hangzhou, Zhejiang, 310030, China,Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, 310030, China,Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, 310030, China
| | - Yin Chen
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, Zhejiang, 310051, China
| | - Yanjun Zhang
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, Zhejiang, 310051, China
| | - Linhai Shen
- Hangzhou Center for Disease Control and Prevention, 568 Mingshi Road, Jianggan District, Hangzhou, Zhejiang, 310021, China
| | - Hui Jin
- Hangzhou Center for Disease Control and Prevention, 568 Mingshi Road, Jianggan District, Hangzhou, Zhejiang, 310021, China
| | - Renhong Yan
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake, University, Hangzhou, Zhejiang, 310030, China,Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, 310030, China
| | - Liaoyong Wen
- School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang, 310030, China,Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, 310024, China
| | - Peixi Zhu
- College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Mohamad Sawan
- CenBRAIN Neurotech, School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang, 310030, China,School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang, 310030, China,Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, 310024, China,Corresponding author. CenBRAIN Neurotech, School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang, 310030, China
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20
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Alhabbab RY. Lateral Flow Immunoassays for Detecting Viral Infectious Antigens and Antibodies. MICROMACHINES 2022; 13:1901. [PMID: 36363922 PMCID: PMC9694796 DOI: 10.3390/mi13111901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/14/2022] [Accepted: 10/19/2022] [Indexed: 05/28/2023]
Abstract
Abundant immunological assays currently exist for detecting pathogens and identifying infected individuals, making detection of diseases at early stages integral to preventing their spread, together with the consequent emergence of global health crises. Lateral flow immunoassay (LFIA) is a test characterized by simplicity, low cost, and quick results. Furthermore, LFIA testing does not need well-trained individuals or laboratory settings. Therefore, it has been serving as an attractive tool that has been extensively used during the ongoing COVID-19 pandemic. Here, the LFIA strip's available formats, reporter systems, components, and preparation are discussed. Moreover, this review provides an overview of the current LFIAs in detecting infectious viral antigens and humoral responses to viral infections.
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Affiliation(s)
- Rowa Y. Alhabbab
- Vaccines and Immunotherapy Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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21
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Development of a Versatile Half-Strip Lateral Flow Assay toward the Detection of Rift Valley Fever Virus Antibodies. Diagnostics (Basel) 2022; 12:diagnostics12112664. [DOI: 10.3390/diagnostics12112664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/27/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022] Open
Abstract
Rift Valley fever (RVF) is a mosquito-borne zoonotic disease that is caused by the Rift Valley fever virus (RVFV); Bunyaviridae: Phlebovirus. RVF disease can affect several different species, including ruminants, camels and humans and thus present a dual threat to public health and livestock food production in endemic regions. In livestock, the RVFV infection is characterised by an acute hepatitis, abortion and high mortality rates in new-born animals. The current RVF diagnostic techniques have shown good sensitivity. However, they require extensive sample processing and complex instrumentation. Owing to speed, low cost, ease of use, and most importantly, the ability to diagnose diseases at sites where they are managed, lateral flow immunoassays (LFIA) are the most widely used point-of-care (POC) tools for disease diagnosis. In this study, a lateral flow assay (LFA) device that is able to detect antibodies against RVFV, with a minimum detectable concentration of 0.125 mg/mL, was successfully developed. The LFA also successfully detected RVFV antibodies in reference RVFV sera. Protein A (ProA), which has the ability to bind immunoglobulins from different species, was used in the detection probe, giving the developed RVFV LFA potential for multi-species diagnosis.
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22
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Chang H, Jiang M, Zhu Q, Liu A, Wu Y, Li C, Ji X, Gong L, Li S, Chen Z, Kong L, Han L. A novel photoelectrochemical immunosensor based on TiO 2@Bi 2WO 6 hollow microspheres and Ag 2S for sensitive detection of SARS-COV-2 nucleocapsid protein. Microchem J 2022; 182:107866. [PMID: 35971541 PMCID: PMC9365518 DOI: 10.1016/j.microc.2022.107866] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 07/21/2022] [Accepted: 08/04/2022] [Indexed: 11/17/2022]
Abstract
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) is a cluster of β coronaviruses. The 2019 coronavirus disease (COVID-19) caused by SARS-COV-2 is emerging as a global pandemic. Thus, early diagnosis of SARS-COV-2 is essential to prevent severe outbreaks of the disease. In this experiment, a novel label-free photoelectrochemical (PEC) immunosensor was obtained based on silver sulfide (Ag2S) sensitized titanium dioxide@bismuth tungstate (TiO2@Bi2WO6) nanocomposite for quantitative detection of SARS-COV-2 nucleocapsid protein. The constructed TiO2@Bi2WO6 hollow microspheres had large specific surface area and could produce high photocurrent intensity under visible light illumination. Ag2S was in-situ grown on the surface of thioglycolic acid (TGA) modified TiO2@Bi2WO6. In particular, TiO2@Bi2WO6 and Ag2S formed a good energy level match, which could effectively enhance the photocurrent conversion efficiency and strength the photocurrent response. Ascorbic acid (AA) acted as an effective electron donor to effectively eliminate photogenerated holes. Under optimal experimental conditions, the constructed immunosensor presented a supersensitive response to SARS-COV-2 nucleocapsid protein, with a desirable linear relationship ranged from 0.001 to 50 ng/mL for nucleocapsid protein and a lower detection limit of 0.38 pg/mL. The fabricated sensor exhibited a wide linear range, excellent selectivity, specificity and stability, which provided a valuable referential idea for the detection of SARS-COV-2.
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Affiliation(s)
- Huiqin Chang
- School of Agriculture Engineering and Food Science, Shandong University of Technology, Zibo 255049, PR China
| | - Meng Jiang
- School of Life Sciences, Shandong University of Technology, Zibo 255049, PR China
| | - Qiying Zhu
- School of Life Sciences, Shandong University of Technology, Zibo 255049, PR China
| | - Anqi Liu
- School of Life Sciences, Shandong University of Technology, Zibo 255049, PR China
| | - Yuyin Wu
- School of Agriculture Engineering and Food Science, Shandong University of Technology, Zibo 255049, PR China
| | - Canguo Li
- School of Life Sciences, Shandong University of Technology, Zibo 255049, PR China
| | - Xiangyue Ji
- School of Life Sciences, Shandong University of Technology, Zibo 255049, PR China
| | - Li Gong
- School of Life Sciences, Shandong University of Technology, Zibo 255049, PR China
| | - Shanshan Li
- School of Life Sciences, Shandong University of Technology, Zibo 255049, PR China
| | - Zhiwei Chen
- Institute of Food and Nutrition Science, Shandong University of Technology, Zibo 255049, PR China,Corresponding authors
| | - Ling Kong
- School of Life Sciences, Shandong University of Technology, Zibo 255049, PR China,Corresponding authors
| | - Lei Han
- College of Chemistry and Pharmaceutical Sciences, Qingdao Agricultural University, Qingdao 266109, PR China,Corresponding authors
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23
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Ghasemi F, Fahimi-Kashani N, Bigdeli A, Alshatteri AH, Abbasi-Moayed S, Al-Jaf SH, Merry MY, Omer KM, Hormozi-Nezhad MR. Paper-based optical nanosensors – A review. Anal Chim Acta 2022; 1238:340640. [DOI: 10.1016/j.aca.2022.340640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 11/23/2022]
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24
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Cherusseri J, Savio CM, Khalid M, Chaudhary V, Numan A, Varma SJ, Menon A, Kaushik A. SARS-CoV-2-on-Chip for Long COVID Management. BIOSENSORS 2022; 12:890. [PMID: 36291027 PMCID: PMC9599615 DOI: 10.3390/bios12100890] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/10/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a "wicked evil" in this century due to its extended progression and huge human mortalities. Although the diagnosis of SARS-CoV-2 viral infection is made simple and practical by employing reverse transcription polymerase chain reaction (RT-PCR) investigation, the process is costly, complex, time-consuming, and requires experts for testing and the constraints of a laboratory. Therefore, these challenges have raised the paradigm of on-site portable biosensors on a single chip, which reduces human resources and enables remote access to minimize the overwhelming burden on the existing global healthcare sector. This article reviews the recent advancements in biosensors for long coronavirus disease (COVID) management using a multitude of devices, such as point-of-care biosensors and lab-on-chip biosensors. Furthermore, it details the shift in the paradigm of SARS-CoV-2-on-chip biosensors from the laboratory to on-site detection with intelligent and economical operation, representing near-future diagnostic technologies for public health emergency management.
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Affiliation(s)
- Jayesh Cherusseri
- Graphene & Advanced 2D Materials Research Group (GAMRG), School of Engineering and Technology, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Petaling Jaya 47500, Malaysia
| | - Claire Mary Savio
- Department of Engineering, Amity University Dubai, Dubai International Academic City P.O. Box 345019, United Arab Emirates
| | - Mohammad Khalid
- Graphene & Advanced 2D Materials Research Group (GAMRG), School of Engineering and Technology, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Petaling Jaya 47500, Malaysia
- Sunway Materials Smart Science & Engineering (SMS2E) Research Cluster, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Petaling Jaya 47500, Malaysia
| | - Vishal Chaudhary
- Research Cell & Department of Physics, Bhagini Nivedita College, University of Delhi, Delhi 110043, India
- SUMAN Laboratory (Sustainable Materials and Advanced Nanotechnology), New Delhi 110072, India
| | - Arshid Numan
- Graphene & Advanced 2D Materials Research Group (GAMRG), School of Engineering and Technology, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Petaling Jaya 47500, Malaysia
- Sunway Materials Smart Science & Engineering (SMS2E) Research Cluster, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Petaling Jaya 47500, Malaysia
| | - Sreekanth J. Varma
- Materials for Energy Storage and Optoelectronic Devices Group, Department of Physics, Sanatana Dharma College, University of Kerala, Alappuzha 688003, India
| | - Amrutha Menon
- Advanced Bio-Energy Devices Laboratory, Research & Development Division, JC Puli Energy Private Limited, Koduvayur, Palakkad 678501, India
| | - Ajeet Kaushik
- NanoBioTech Laboratory, Health System Engineering, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, FL 33805, USA
- School of Engineering, University of Petroleum and Energy Studies (UPES), Dehradun 248007, India
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25
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Tessaro L, Aquino A, Panzenhagen P, Joshi N, Conte-Junior CA. A systematic review of the advancement on colorimetric nanobiosensors for SARS-CoV-2 detection. J Pharm Biomed Anal 2022; 222:115087. [PMID: 36206693 PMCID: PMC9523903 DOI: 10.1016/j.jpba.2022.115087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/17/2022] [Accepted: 09/28/2022] [Indexed: 11/15/2022]
Abstract
The current pandemic of the acute severe respiratory syndrome coronavirus 2 (SARS-CoV-2) killed about 6.4 million and infected more than 600 million individuals by august of 2022, and researchers worldwide are searching for fast and selective approaches for this virus detection. Colorimetric biosensors are an excellent alternative because they are sensitive, simple, fast, and low-cost for rapid detection of SARS-CoV-2 compared to standard Enzyme-linked immunosorbent assay (ELISA) and Polymerase Chain Reaction (PCR) techniques. This study systematically searched and reviewed literature data related to colorimetric biosensors in detecting SARS-CoV-2 viruses, recovered from the Scopus (n = 16), Web of Science (n = 19), PubMed (n = 19), and Science Direct (n = 17) databases totalizing n = 71 articles. Data were analyzed for the type of nanomaterial, biorecognition material at the detection limit (LOD), and devices designed for diagnostics. The most applied nanomaterial were gold nanoparticles, in their original form and hybrid in quantum dots and core-shell. In addition, we show high specificity in point-of-care (POC) diagnostic devices as a faster and cheaper alternative for clinical diagnosis. Finally, the highlights of the colorimetric biosensor developed for diagnostic devices applied in swabs, surgical masks, and lateral flow immunoassays were presented.
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Affiliation(s)
- Leticia Tessaro
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil; Post-Graduation Program of Chemistry (PGQu), Institute of chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil.
| | - Adriano Aquino
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil; Post-Graduation Program of Chemistry (PGQu), Institute of chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil
| | - Pedro Panzenhagen
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil
| | - Nirav Joshi
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil
| | - Carlos Adam Conte-Junior
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil; Post-Graduation Program of Chemistry (PGQu), Institute of chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil.
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26
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A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning. BIOSENSORS 2022; 12:bios12090710. [PMID: 36140093 PMCID: PMC9496380 DOI: 10.3390/bios12090710] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 08/22/2022] [Accepted: 08/25/2022] [Indexed: 11/25/2022]
Abstract
The ability to interpret information through automatic sensors is one of the most important pillars of modern technology. In particular, the potential of biosensors has been used to evaluate biological information of living organisms, and to detect danger or predict urgent situations in a battlefield, as in the invasion of SARS-CoV-2 in this era. This work is devoted to describing a panoramic overview of optical biosensors that can be improved by the assistance of nonlinear optics and machine learning methods. Optical biosensors have demonstrated their effectiveness in detecting a diverse range of viruses. Specifically, the SARS-CoV-2 virus has generated disturbance all over the world, and biosensors have emerged as a key for providing an analysis based on physical and chemical phenomena. In this perspective, we highlight how multiphoton interactions can be responsible for an enhancement in sensibility exhibited by biosensors. The nonlinear optical effects open up a series of options to expand the applications of optical biosensors. Nonlinearities together with computer tools are suitable for the identification of complex low-dimensional agents. Machine learning methods can approximate functions to reveal patterns in the detection of dynamic objects in the human body and determine viruses, harmful entities, or strange kinetics in cells.
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27
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Madurani KA, Suprapto, Yudha Syahputra M, Puspita I, Furqoni AH, Puspasari L, Rosyidah H, Hatta AM, Juniastuti, Lusida MI, Tominaga M, Kurniawan F. Fluorescence spectrophotometry for COVID-19 determination in clinical swab samples. ARAB J CHEM 2022; 15:104020. [PMID: 35664893 PMCID: PMC9150911 DOI: 10.1016/j.arabjc.2022.104020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 05/25/2022] [Indexed: 11/29/2022] Open
Abstract
Considering the limitations of the assays currently available for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its emerging variants, a simple and rapid method using fluorescence spectrophotometry was developed to detect coronavirus disease 2019 (COVID-19). Forty clinical swab samples were collected from the nasopharyngeal and oropharyngeal cavities of COVID-19-positive and -negative. Each sample was divided into two parts. The first part of the samples was analyzed using reverse transcription-polymerase chain reaction (RT-qPCR) as the control method to identify COVID-19-positive and -negative samples. The second part of the samples was analyzed using fluorescence spectrophotometry. Fluorescence measurements were performed at excitation and emission wavelengths ranging from 200 to 800 nm. Twenty COVID-19-positive samples and twenty COVID-19-negative samples were detected based on RT-qPCR results. The fluorescence spectrum data indicated that the COVID-19-positive and -negative samples had significantly different characteristics. All positive samples could be distinguished from negative samples by fluorescence spectrophotometry. Principal component analysis showed that COVID-19-positive samples were clustered separately from COVID-19-negative samples. The specificity and accuracy of this experiment reached 100%. Limit of detection (LOD) obtained 42.20 copies/ml (Ct value of 33.65 cycles) for E gene and 63.60 copies/ml (Ct value of 31.36 cycles) for ORF1ab gene. This identification process only required 4 min. Thus, this technique offers an efficient and accurate method to identify an individual with active SARS-CoV-2 infection and can be easily adapted for the early investigation of COVID-19, in general.
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Affiliation(s)
- Kartika A Madurani
- Laboratory of Instrumentation and Analytical Science, Chemistry Department, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia
| | - Suprapto
- Laboratory of Instrumentation and Analytical Science, Chemistry Department, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia
| | - Muhammad Yudha Syahputra
- Laboratory of Instrumentation and Analytical Science, Chemistry Department, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia
| | - Ika Puspita
- Photonics Engineering Laboratory, Department of Engineering Physics, Faculty of Industrial Technology and Systems Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia
| | - Abdul Hadi Furqoni
- Human Genetic Laboratory, Institute of Tropical Disease, Airlangga University, Surabaya 60115, Indonesia
| | - Listya Puspasari
- Laboratory of Instrumentation and Analytical Science, Chemistry Department, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia
| | - Hafildatur Rosyidah
- Laboratory of Instrumentation and Analytical Science, Chemistry Department, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia
| | - Agus Muhamad Hatta
- Photonics Engineering Laboratory, Department of Engineering Physics, Faculty of Industrial Technology and Systems Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia
| | - Juniastuti
- Faculty of Medicine, Airlangga University, Surabaya 60131, Indonesia.,Institute of Tropical Disease, Airlangga University, Surabaya 60115, Indonesia
| | - Maria Inge Lusida
- Faculty of Medicine, Airlangga University, Surabaya 60131, Indonesia.,Institute of Tropical Disease, Airlangga University, Surabaya 60115, Indonesia
| | - Masato Tominaga
- Department of Chemistry and Applied Chemistry, Graduate School of Science and Engineering, Saga University, Saga 840-8502, Japan
| | - Fredy Kurniawan
- Laboratory of Instrumentation and Analytical Science, Chemistry Department, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia
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28
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Ince B, Sezgintürk MK. Lateral flow assays for viruses diagnosis: Up-to-date technology and future prospects. Trends Analyt Chem 2022; 157:116725. [PMID: 35815063 PMCID: PMC9252863 DOI: 10.1016/j.trac.2022.116725] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 06/13/2022] [Accepted: 06/23/2022] [Indexed: 11/29/2022]
Abstract
Bacteria, viruses, and parasites are harmful microorganisms that cause infectious diseases. Early detection of diseases is critical to prevent disease transmission and provide epidemic preparedness, as these can cause widespread deaths and public health crises, particularly in resource-limited countries. Lateral flow assay (LFA) systems are simple-to-use, disposable, inexpensive diagnostic devices to test biomarkers in blood and urine samples. Thus, LFA has recently received significant attention, especially during the pandemic. Here, first of all, the design principles and working mechanisms of existing LFA methods are examined. Then, current LFA implementation strategies are presented for communicable disease diagnoses, including COVID-19, zika and dengue, HIV, hepatitis, influenza, malaria, and other pathogens. Furthermore, this review focuses on an overview of current problems and accessible solutions in detecting infectious agents and diseases by LFA, focusing on increasing sensitivity with various detection methods. In addition, future trends in LFA-based diagnostics are envisioned.
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29
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Filchakova O, Dossym D, Ilyas A, Kuanysheva T, Abdizhamil A, Bukasov R. Review of COVID-19 testing and diagnostic methods. Talanta 2022; 244:123409. [PMID: 35390680 PMCID: PMC8970625 DOI: 10.1016/j.talanta.2022.123409] [Citation(s) in RCA: 81] [Impact Index Per Article: 40.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 01/09/2023]
Abstract
More than six billion tests for COVID-19 has been already performed in the world. The testing for SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) virus and corresponding human antibodies is essential not only for diagnostics and treatment of the infection by medical institutions, but also as a pre-requisite for major semi-normal economic and social activities such as international flights, off line work and study in offices, access to malls, sport and social events. Accuracy, sensitivity, specificity, time to results and cost per test are essential parameters of those tests and even minimal improvement in any of them may have noticeable impact on life in the many countries of the world. We described, analyzed and compared methods of COVID-19 detection, while representing their parameters in 22 tables. Also, we compared test performance of some FDA approved test kits with clinical performance of some non-FDA approved methods just described in scientific literature. RT-PCR still remains a golden standard in detection of the virus, but a pressing need for alternative less expensive, more rapid, point of care methods is evident. Those methods that may eventually get developed to satisfy this need are explained, discussed, quantitatively compared. The review has a bioanalytical chemistry prospective, but it may be interesting for a broader circle of readers who are interested in understanding and improvement of COVID-19 testing, helping eventually to leave COVID-19 pandemic in the past.
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Affiliation(s)
- Olena Filchakova
- Biology Department, SSH, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
| | - Dina Dossym
- Chemistry Department, SSH, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
| | - Aisha Ilyas
- Chemistry Department, SSH, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
| | - Tamila Kuanysheva
- Chemistry Department, SSH, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
| | - Altynay Abdizhamil
- Chemistry Department, SSH, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
| | - Rostislav Bukasov
- Chemistry Department, SSH, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan,Corresponding author
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30
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Bao L, Park J, Qin B, Kim B. Anti-SARS-CoV-2 IgM/IgG antibodies detection using a patch sensor containing porous microneedles and a paper-based immunoassay. Sci Rep 2022; 12:10693. [PMID: 35778408 PMCID: PMC9249772 DOI: 10.1038/s41598-022-14725-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 06/10/2022] [Indexed: 12/21/2022] Open
Abstract
Infectious diseases are among the leading causes of mortality worldwide. A new coronavirus named severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) was identified in Wuhan, China in 2019, and the World Health Organization (WHO) declared its outbreak, coronavirus disease 2019 (COVID-19), as a global pandemic in 2020. COVID-19 can spread quickly from person to person. One of the most challenging issues is to identify the infected individuals and prevent potential spread of SARS-CoV-2. Recently, anti-SARS-CoV-2 immunoglobulin M (IgM) and immunoglobulin G (IgG) antibody tests using immunochromatographic methods have been used as a complement to current detection methods and have provided information of the approximate course of COVID-19 infection. However, blood sampling causes pain and poses risks of infection at the needle puncture site. In this study, a novel patch sensor integrating porous microneedles and an immunochromatographic assay (PMNIA) was developed for the rapid detection of anti-SARS-CoV-2 IgM/IgG in dermal interstitial fluid (ISF), which is a rich source of protein biomarkers, such as antibodies. Biodegradable porous microneedles (MNs) made of polylactic acid were fabricated to extract ISF from human skin by capillary effect. The extracted ISF was vertically transported and flowed into the affixed immunoassay biosensor, where specific antibodies could be detected colorimetrically on-site. Anti-SARS-CoV-2 IgM/IgG antibodies were simultaneously detected within 3 min in vitro. Moreover, the limit of detection of anti-SARS-CoV-2 IgM and IgG concentrations was as low as 3 and 7 ng/mL, respectively. The developed device integrating porous MNs and immunochromatographic biosensors is expected to enable minimally invasive, simple, and rapid anti-SARS-CoV-2 IgM/IgG antibody testing. Furthermore, the compact size of the MN and biosensor-integrated device is advantageous for its widespread use. The proposed device has great potential for rapid screening of various infectious diseases in addition to COVID-19 as an effective complementary method with other diagnostic tests.
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Affiliation(s)
- Leilei Bao
- Institute of Industrial Science, The Univeristy of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan
| | - Jongho Park
- Institute of Industrial Science, The Univeristy of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan
| | - Boyu Qin
- Institute of Industrial Science, The Univeristy of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan
| | - Beomjoon Kim
- Institute of Industrial Science, The Univeristy of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan.
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31
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Sheta SM, El-Sheikh SM. Nanomaterials and metal-organic frameworks for biosensing applications of mutations of the emerging viruses. Anal Biochem 2022; 648:114680. [PMID: 35429447 PMCID: PMC9007753 DOI: 10.1016/j.ab.2022.114680] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/26/2022] [Accepted: 04/01/2022] [Indexed: 12/15/2022]
Abstract
The world today lives in a state of terrible fear due to the mutation of the emerging COVID-19. With the continuation of this pandemic, there is an urgent need for fast, accurate testing devices to detect the emerging SARS-CoV-2 pandemic in terms of biosensors and point-of-care testing. Besides, the urgent development in personal defense tools, anti-viral surfaces and wearables, and smartphones open the door for simplifying the self-diagnosis process everywhere. This review introduces a quick COVID-19 overview: definition, transmission, pathophysiology, the identification and diagnosis, mutation and transformation, and the global situation. It also focuses on an overview of the rapidly advanced technologies based on nanomaterials and MOFs for biosensing, diagnosing, and viral control of the SARS-CoV-2 pandemic. Finally, highlight the latest technologies, applications, existing achievements, and preventive diagnostic strategies to control this epidemic and combat the emerging coronavirus. This humble effort aims to provide a helpful survey that can be used to develop a creative solution and to lay down the future vision of diagnosis against COVID-19.
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Affiliation(s)
- Sheta M. Sheta
- Department of Inorganic Chemistry, National Research Centre, 33 El-Behouth St., Dokki, Giza, 12622, Egypt,Corresponding author
| | - Said M. El-Sheikh
- Department of Nanomaterials and Nanotechnology, Central Metallurgical R & D Institute, Cairo, 11421, Egypt,Corresponding author
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Wu M, Wu S, Wang G, Liu W, Chu LT, Jiang T, Kwong HK, Chow HL, Li IWS, Chen TH. Microfluidic particle dam for direct visualization of SARS-CoV-2 antibody levels in COVID-19 vaccinees. SCIENCE ADVANCES 2022; 8:eabn6064. [PMID: 35658040 PMCID: PMC9166397 DOI: 10.1126/sciadv.abn6064] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Various COVID-19 vaccines are currently deployed, but their immunization varies and decays with time. Antibody level is a potent correlate to immune protection, but its quantitation relies on intensive laboratory techniques. Here, we report a decentralized, instrument-free microfluidic device that directly visualizes SARS-CoV-2 antibody levels. Magnetic microparticles (MMPs) and polystyrene microparticles (PMPs) can bind to SARS-CoV-2 antibodies simultaneously. In a microfluidic chip, this binding reduces the incidence of free PMPs escaping from magnetic separation and shortens PMP accumulation length at a particle dam. This visual quantitative result enables use in either sensitive mode [limit of detection (LOD): 13.3 ng/ml; sample-to-answer time: 70 min] or rapid mode (LOD: 57.8 ng/ml; sample-to-answer time: 20 min) and closely agrees with the gold standard enzyme-linked immunosorbent assay. Trials on 91 vaccinees revealed higher antibody levels in mRNA vaccinees than in inactivated vaccinees and their decay in 45 days, demonstrating the need for point-of-care devices to monitor immune protection.
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Affiliation(s)
- Minghui Wu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Siying Wu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Gaobo Wang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Wengang Liu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Lok Ting Chu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Tianyi Jiang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hoi Kwan Kwong
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hiu Lam Chow
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Iris Wai Sum Li
- HKU-Pasteur Research Pole, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Ting-Hsuan Chen
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region, China
- City University of Hong Kong Shenzhen Research Institute, Shenzhen, China
- Corresponding author.
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Li Z, Wang A, Zhou J, Chen Y, Liu H, Liu Y, Zhang Y, Ding P, Zhu X, Liang C, Qi Y, Liu E, Zhang G. A Universal Fluorescent Immunochromatography Assay Based on Quantum Dot Nanoparticles for the Rapid Detection of Specific Antibodies against SARS-CoV-2 Nucleocapsid Protein. Int J Mol Sci 2022; 23:ijms23116225. [PMID: 35682904 PMCID: PMC9180975 DOI: 10.3390/ijms23116225] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 05/27/2022] [Accepted: 05/30/2022] [Indexed: 11/16/2022] Open
Abstract
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the pathogenic agent leading to COVID-19. Due to high speed of transmission and mutation rates, universal diagnosis and appropriate prevention are still urgently needed. The nucleocapsid protein of SARS-CoV-2 is considered more conserved than spike proteins and is abundant during the virus’ life cycle, making it suitable for diagnostic applications. Here, we designed and developed a fluorescent immunochromatography assay (FICA) for the rapid detection of SARS-CoV-2-specific antibodies using ZnCdSe/ZnS QDs-conjugated nucleocapsid (N) proteins as probes. The nucleocapsid protein was expressed in E.coli and purified via Ni-NTA affinity chromatography with considerable concentration (0.762 mg/mL) and a purity of more than 90%, which could bind to specific antibodies and the complex could be captured by Staphylococcal protein A (SPA) with fluorescence displayed. After the optimization of coupling and detecting conditions, the limit of detection was determined to be 1:1.024 × 105 with an IgG concentration of 48.84 ng/mL with good specificity shown to antibodies against other zoonotic coronaviruses and respiratory infection-related viruses (n = 5). The universal fluorescent immunochromatography assay simplified operation processes in one step, which could be used for the point of care detection of SARS-CoV-2-specific antibodies. Moreover, it was also considered as an efficient tool for the serological screening of potential susceptible animals and for monitoring the expansion of virus host ranges.
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Affiliation(s)
- Zehui Li
- School of Life Science, Zhengzhou University, Zhengzhou 450001, China; (Z.L.); (A.W.); (J.Z.); (Y.C.); (H.L.); (Y.L.); (Y.Z.); (P.D.); (X.Z.); (C.L.); (Y.Q.); (E.L.)
| | - Aiping Wang
- School of Life Science, Zhengzhou University, Zhengzhou 450001, China; (Z.L.); (A.W.); (J.Z.); (Y.C.); (H.L.); (Y.L.); (Y.Z.); (P.D.); (X.Z.); (C.L.); (Y.Q.); (E.L.)
| | - Jingming Zhou
- School of Life Science, Zhengzhou University, Zhengzhou 450001, China; (Z.L.); (A.W.); (J.Z.); (Y.C.); (H.L.); (Y.L.); (Y.Z.); (P.D.); (X.Z.); (C.L.); (Y.Q.); (E.L.)
| | - Yumei Chen
- School of Life Science, Zhengzhou University, Zhengzhou 450001, China; (Z.L.); (A.W.); (J.Z.); (Y.C.); (H.L.); (Y.L.); (Y.Z.); (P.D.); (X.Z.); (C.L.); (Y.Q.); (E.L.)
| | - Hongliang Liu
- School of Life Science, Zhengzhou University, Zhengzhou 450001, China; (Z.L.); (A.W.); (J.Z.); (Y.C.); (H.L.); (Y.L.); (Y.Z.); (P.D.); (X.Z.); (C.L.); (Y.Q.); (E.L.)
| | - Yankai Liu
- School of Life Science, Zhengzhou University, Zhengzhou 450001, China; (Z.L.); (A.W.); (J.Z.); (Y.C.); (H.L.); (Y.L.); (Y.Z.); (P.D.); (X.Z.); (C.L.); (Y.Q.); (E.L.)
| | - Ying Zhang
- School of Life Science, Zhengzhou University, Zhengzhou 450001, China; (Z.L.); (A.W.); (J.Z.); (Y.C.); (H.L.); (Y.L.); (Y.Z.); (P.D.); (X.Z.); (C.L.); (Y.Q.); (E.L.)
| | - Peiyang Ding
- School of Life Science, Zhengzhou University, Zhengzhou 450001, China; (Z.L.); (A.W.); (J.Z.); (Y.C.); (H.L.); (Y.L.); (Y.Z.); (P.D.); (X.Z.); (C.L.); (Y.Q.); (E.L.)
| | - Xifang Zhu
- School of Life Science, Zhengzhou University, Zhengzhou 450001, China; (Z.L.); (A.W.); (J.Z.); (Y.C.); (H.L.); (Y.L.); (Y.Z.); (P.D.); (X.Z.); (C.L.); (Y.Q.); (E.L.)
| | - Chao Liang
- School of Life Science, Zhengzhou University, Zhengzhou 450001, China; (Z.L.); (A.W.); (J.Z.); (Y.C.); (H.L.); (Y.L.); (Y.Z.); (P.D.); (X.Z.); (C.L.); (Y.Q.); (E.L.)
| | - Yanhua Qi
- School of Life Science, Zhengzhou University, Zhengzhou 450001, China; (Z.L.); (A.W.); (J.Z.); (Y.C.); (H.L.); (Y.L.); (Y.Z.); (P.D.); (X.Z.); (C.L.); (Y.Q.); (E.L.)
| | - Enping Liu
- School of Life Science, Zhengzhou University, Zhengzhou 450001, China; (Z.L.); (A.W.); (J.Z.); (Y.C.); (H.L.); (Y.L.); (Y.Z.); (P.D.); (X.Z.); (C.L.); (Y.Q.); (E.L.)
| | - Gaiping Zhang
- School of Life Science, Zhengzhou University, Zhengzhou 450001, China; (Z.L.); (A.W.); (J.Z.); (Y.C.); (H.L.); (Y.L.); (Y.Z.); (P.D.); (X.Z.); (C.L.); (Y.Q.); (E.L.)
- School of Advanced Agriculture Sciences, Peking University, Beijing 100871, China
- Longhu Laboratory of Advanced Immunology, Zhengzhou 450000, China
- Correspondence: ; Tel.: +86-371-6355-0369
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Zhang Y, Chai Y, Hu Z, Xu Z, Li M, Chen X, Yang C, Liu J. Recent Progress on Rapid Lateral Flow Assay-Based Early Diagnosis of COVID-19. Front Bioeng Biotechnol 2022; 10:866368. [PMID: 35592553 PMCID: PMC9111179 DOI: 10.3389/fbioe.2022.866368] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 04/04/2022] [Indexed: 12/12/2022] Open
Abstract
The outbreak of the coronavirus disease 2019 (COVID-19) has resulted in enormous losses worldwide. Through effective control measures and vaccination, prevention and curbing have proven significantly effective; however, the disease has still not been eliminated. Therefore, it is necessary to develop a simple, convenient, and rapid detection strategy for controlling disease recurrence and transmission. Taking advantage of their low-cost and simple operation, point-of-care test (POCT) kits for COVID-19 based on the lateral flow assay (LFA) chemistry have become one of the most convenient and widely used screening tools for pathogens in hospitals and at home. In this review, we introduce essential features of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, compare existing detection methods, and focus on the principles, merits and limitations of the LFAs based on viral nucleic acids, antigens, and corresponding antibodies. A systematic comparison was realized through summarization and analyses, providing a comprehensive demonstration of the LFA technology and insights into preventing and curbing the COVID-19 pandemic.
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Affiliation(s)
- Ying Zhang
- Central Laboratory, Longgang District People’s Hospital of Shenzhen and The Second Affiliated Hospital of the Chinese University of Hong Kong, Shenzhen, China
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| | - Yujuan Chai
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| | - Zulu Hu
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| | - Zhourui Xu
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| | - Meirong Li
- Central Laboratory, Longgang District People’s Hospital of Shenzhen and The Second Affiliated Hospital of the Chinese University of Hong Kong, Shenzhen, China
| | - Xin Chen
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| | - Chengbin Yang
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| | - Jia Liu
- Central Laboratory, Longgang District People’s Hospital of Shenzhen and The Second Affiliated Hospital of the Chinese University of Hong Kong, Shenzhen, China
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35
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Gold Nanoparticle-Mediated Lateral Flow Assays for Detection of Host Antibodies and COVID-19 Proteins. NANOMATERIALS 2022; 12:nano12091456. [PMID: 35564165 PMCID: PMC9102158 DOI: 10.3390/nano12091456] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 04/17/2022] [Accepted: 04/19/2022] [Indexed: 01/15/2023]
Abstract
Coronaviruses, that are now well-known to the public, include a family of viruses that can cause severe acute respiratory syndrome (SARS) and other respiratory diseases, such as Middle East respiratory syndrome (MERS). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the seventh member of this coronavirus family, was detected in 2019 and can cause a number of respiratory symptoms, from dry cough and fever to fatal viral pneumonia. Various diagnostic assays ranging from real-time polymerase chain reaction (RT-PCR) to point-of-care medical diagnostic systems have been developed for detection of viral components or antibodies targeting the virus. Point-of-care assays allow rapid diagnostic assessment of infectious patients. Such assays are ideally simple, low-cost, portable tests with the possibility for on-site field detection that do not require skilled staff, sophisticated equipment, or sample pretreatment, as compared to RT-PCR. Since early 2021 when new SARS-CoV-2 variants of concern increased, rapid tests became more crucial in the disease management cycle. Among rapid tests, gold nanoparticle (GNP)-based lateral flow assays (LFAs) have high capacity for performing at the bedside, paving the way to easy access to diagnosis results. In this review, GNP-based LFAs used for either COVID-19 proteins or human response antibodies are summarized and recommendations for their improvement have been suggested.
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36
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Niu Y, Zhang G, Zhou J, Liu H, Chen Y, Ding P, Qi Y, Liang C, Zhu X, Wang A. Differential diagnosis of the infection caused by wild-type or CD2v-deleted ASFV strains by quantum dots-based immunochromatographic assay. Lett Appl Microbiol 2022; 74:1001-1007. [PMID: 35255156 DOI: 10.1111/lam.13691] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 11/28/2022]
Abstract
African swine fever (ASF), a highly contagious and lethal disease, poses a tremendous threat and burden to the swine industry worldwide. Lack of available vaccines or treatments leaves rapid diagnosis as the key tool to control the disease. Quantum dots (QDs) are unique fluorescent semiconductor nanoparticles, highly versatile for biological applications. In this study, we developed a quantum dots-based fluorescent immunochromatographic assay (QDs-FICA) using CD2v as the diagnosis antigen to detect ASFV antibodies. The titer of the test strip was 1 : 5.12×105 . In addition, the strip was highly specific to Anti-ASFV serum and had no cross-reaction with CSFV, PPV, PRRSV, PCV-2, PRV and FMDV. Moreover, a comparative test of 71 clinical samples showed that the coincidence rate was 85.92 % between the test strip and the commercial ELISA kit (coated with p30, p62 and p72). The QDs-FICA can be used to detect ASFV antibodies, which is meaningful for the surveillance, control and purification of ASF.
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Affiliation(s)
- Yan Niu
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Gaiping Zhang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China.,Henan Agriculture University, Zhengzhou, Henan, China
| | - Jingming Zhou
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China.,Henan Zhongze Biological Engineering co. LTD, Zhengzhou, Henan, China
| | - Hongliang Liu
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China.,Henan Zhongze Biological Engineering co. LTD, Zhengzhou, Henan, China
| | - Yumei Chen
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China.,Henan Zhongze Biological Engineering co. LTD, Zhengzhou, Henan, China
| | - Peiyang Ding
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yanhua Qi
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Chao Liang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Xifang Zhu
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Aiping Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China.,Henan Zhongze Biological Engineering co. LTD, Zhengzhou, Henan, China
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Ochola L, Ogongo P, Mungai S, Gitaka J, Suliman S. Performance Evaluation of Lateral Flow Assays for Coronavirus Disease-19 Serology. Clin Lab Med 2022; 42:31-56. [PMID: 35153047 PMCID: PMC8563367 DOI: 10.1016/j.cll.2021.10.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The coronavirus disease of 2019 (COVID-19) pandemic, caused by infection with the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has undoubtedly resulted in significant morbidities, mortalities, and economic disruptions across the globe. Affordable and scalable tools to monitor the transmission dynamics of the SARS-CoV-2 virus and the longevity of induced antibodies will be paramount to monitor and control the pandemic as multiple waves continue to rage in many countries. Serologic assays detect humoral responses to the virus, to determine seroprevalence in target populations, or induction of antibodies at the individual level following either natural infection or vaccination. With multiple vaccines rolling out globally, serologic assays to detect anti-SARS-CoV-2 antibodies will be important tools to monitor the development of herd immunity. To address this need, serologic lateral flow assays (LFAs), which can be easily implemented for both population surveillance and home use, will be vital to monitor the evolution of the pandemic and inform containment measures. Such assays are particularly important for monitoring the transmission dynamics and durability of immunity generated by natural infections and vaccination, particularly in resource-limited settings. In this review, we discuss considerations for evaluating the accuracy of these LFAs, their suitability for different use cases, and implementation opportunities.
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Affiliation(s)
- Lucy Ochola
- Department of Tropical and Infectious Diseases, Institute of Primate Research, National Museums of Kenya, PO Box 24481, Nairobi 00502, Kenya
| | - Paul Ogongo
- Department of Tropical and Infectious Diseases, Institute of Primate Research, National Museums of Kenya, PO Box 24481, Nairobi 00502, Kenya; Division of Experimental Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Samuel Mungai
- Directorate of Research and Innovation, Mount Kenya University, PO Box 342-01000, Thika, Kenya
| | - Jesse Gitaka
- Directorate of Research and Innovation, Mount Kenya University, PO Box 342-01000, Thika, Kenya
| | - Sara Suliman
- Division of Experimental Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA; Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston, MA 02115, USA.
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38
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Russell SM, Alba-Patiño A, Vaquer A, Clemente A, de la Rica R. Improving the Quantification of Colorimetric Signals in Paper-Based Immunosensors with an Open-Source Reader. SENSORS 2022; 22:s22051880. [PMID: 35271026 PMCID: PMC8914853 DOI: 10.3390/s22051880] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 02/22/2022] [Accepted: 02/23/2022] [Indexed: 02/01/2023]
Abstract
Measuring the colorimetric signals produced by the biospecific accumulation of colorimetric probes and recording the results is a key feature for next-generation paper-based rapid tests. Manual processing of these tests is time-consuming and prone to a loss of accuracy when interpreting faint and patchy signals. Proprietary, closed-source readers and software companies offering automated smartphone-based assay readings have both been criticized for interoperability issues. Here, we introduce a minimal reader prototype composed of open-source hardware and open-source software that has the benefits of automatic assay quantification while avoiding the interoperability issues associated with closed-source readers. An image-processing algorithm was developed to automate the selection of an optimal region of interest and measure the average pixel intensity. When used to quantify signals produced by lateral flow immunoassays for detecting antibodies against SARS-CoV-2, results obtained with the proposed algorithm were comparable to those obtained with a manual method but with the advantage of improving the precision and accuracy when quantifying small spots or faint and patchy signals.
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Affiliation(s)
- Steven M. Russell
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (A.A.-P.); (A.V.); (R.d.l.R.)
- Correspondence: (S.M.R.); (A.C.)
| | - Alejandra Alba-Patiño
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (A.A.-P.); (A.V.); (R.d.l.R.)
- Chemistry Department, University of the Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Andreu Vaquer
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (A.A.-P.); (A.V.); (R.d.l.R.)
- Chemistry Department, University of the Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Antonio Clemente
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (A.A.-P.); (A.V.); (R.d.l.R.)
- Correspondence: (S.M.R.); (A.C.)
| | - Roberto de la Rica
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; (A.A.-P.); (A.V.); (R.d.l.R.)
- CIBER de Enfermedades Infecciosas (CIBERINFEC), 28029 Madrid, Spain
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39
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Bacterial ligands as flexible and sensitive detectors in rapid tests for antibodies to SARS-CoV-2. Anal Bioanal Chem 2022; 414:5473-5482. [PMID: 35149878 PMCID: PMC8853073 DOI: 10.1007/s00216-022-03939-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/25/2022] [Accepted: 01/28/2022] [Indexed: 12/28/2022]
Abstract
Lateral flow immunoassay (LFIA) is widely employed as point-of-care tests (POCT) for the diagnosis of infectious diseases. The accuracy of LFIA largely depends on the quality of the immunoreagents used. Typical LFIAs to reveal the immune response to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) employ anti-human immunoglobulin (hIG) antibodies and recombinant viral antigens, which usually are unstable and poorly soluble. Broad selective bacterial proteins, such as Staphylococcal protein A (SpA) and Streptococcal protein G (SpG) can be considered alternatives to anti-hIG to increase versatility and sensitivity of serological LFIAs because of their high binding capacity, interspecies reactivity, and robustness. We developed two colorimetric LFA devices including SpA and SpG linked to gold nanoparticles (GNP) as detectors and explored the use of a specific, stable, and soluble immunodominant fraction of the nucleocapsid protein from SARS-CoV-2 as the capturing agent. The optimal amount of SpA-GNP and SpG-GNP conjugates and the protein-to-GNP ratios were defined through a full factorial experimental design to maximize the diagnostic sensitivity of the LFIAs. The new LFA devices were applied to analyze 105 human serum samples (69 positive and 36 negatives according to reference molecular diagnostic methods). The results showed higher sensitivity (89.9%, 95% CI 82.7–97.0) and selectivity (91.7%, 82.6–100) for the SpA-based compared to the SpG-based LFA. In addition, 18 serum samples from cats and dogs living with COVID-19 patients were analyzed and 14 showed detectable levels of anti-SARS-CoV-2 antibodies, thus illustrating the flexibility of the SpA- and SpG-based LFAs.
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40
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Affiliation(s)
- Yufan Zhang
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, Key Laboratory of Bioactive Materials, Ministry of Education, and College of Life Sciences Nankai University Tianjin China
| | - Dan Ding
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, Key Laboratory of Bioactive Materials, Ministry of Education, and College of Life Sciences Nankai University Tianjin China
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41
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Wang Z, Zhao J, Xu X, Guo L, Xu L, Sun M, Hu S, Kuang H, Xu C, Li A. An Overview for the Nanoparticles-Based Quantitative Lateral Flow Assay. SMALL METHODS 2022; 6:e2101143. [PMID: 35041285 DOI: 10.1002/smtd.202101143] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/27/2021] [Indexed: 06/14/2023]
Abstract
The development of the lateral flow assay (LFA) has received much attention in both academia and industry because of their broad applications to food safety, environmental monitoring, clinical diagnosis, and so forth. The user friendliness, low cost, and easy operation are the most attractive advantages of the LFA. In recent years, quantitative detection has become another focus of LFA development. Here, the most recent studies of quantitative LFAs are reviewed. First, the principles and corresponding formats of quantitative LFAs are introduced. In the biomaterial and nanomaterial sections, the detection, capture, and signal amplification biomolecules and the optical, fluorescent, luminescent, and magnetic labels used in LFAs are described. The invention of dedicated strip readers has drawn further interest in exploiting the better performance of LFAs. Therefore, next, the development of dedicated reader devices is described and the usefulness and specifications of these devices for LFAs are discussed. Finally, the applications of LFAs in the detection of metal ions, biotoxins, pathogenic microorganisms, veterinary drugs, and pesticides in the fields of food safety and environmental health and the detection of nucleic acids, biomarkers, and viruses in clinical analyses are summarized.
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Affiliation(s)
- Zhongxing Wang
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Jing Zhao
- Department of Radiology, Affiliated Hospital, Jiangnan University, No. 1000, Hefeng Road, Wuxi, Jiangsu, 214122, China
| | - Xinxin Xu
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Lingling Guo
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Liguang Xu
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Maozhong Sun
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Shudong Hu
- Department of Radiology, Affiliated Hospital, Jiangnan University, No. 1000, Hefeng Road, Wuxi, Jiangsu, 214122, China
| | - Hua Kuang
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Chuanlai Xu
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Aike Li
- Academy of National Food and Strategic Reserves Administration, No. 11, Baiwanzhuang Street, Beijing, 100037, P. R. China
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Moabelo KL, Martin DR, Fadaka AO, Sibuyi NRS, Meyer M, Madiehe AM. Nanotechnology-Based Strategies for Effective and Rapid Detection of SARS-CoV-2. MATERIALS (BASEL, SWITZERLAND) 2021; 14:7851. [PMID: 34947447 PMCID: PMC8703409 DOI: 10.3390/ma14247851] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 11/30/2021] [Accepted: 12/08/2021] [Indexed: 01/08/2023]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has gained worldwide attention and has prompted the development of innovative diagnostics, therapeutics, and vaccines to mitigate the pandemic. Diagnostic methods based on reverse transcriptase-polymerase chain reaction (RT-PCR) technology are the gold standard in the fight against COVID-19. However, this test might not be easily accessible in low-resource settings for the early detection and diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The lack of access to well-equipped clinical laboratories, requirement for the high level of technical competence, and the cost of the RT-PCR test are the major limitations. Moreover, RT-PCR is unsuitable for application at the point-of-care testing (PoCT) as it is time-consuming and lab-based. Due to emerging mutations of the virus and the burden it has placed on the health care systems, there is a growing urgency to develop sensitive, selective, and rapid diagnostic devices for COVID-19. Nanotechnology has emerged as a versatile technology in the production of reliable diagnostic tools for various diseases and offers new opportunities for the development of COVID-19 diagnostic systems. This review summarizes some of the nano-enabled diagnostic systems that were explored for the detection of SARS-CoV-2. It highlights how the unique physicochemical properties of nanoparticles were exploited in the development of novel colorimetric assays and biosensors for COVID-19 at the PoCT. The potential to improve the efficiency of the current assays, as well as the challenges associated with the development of these innovative diagnostic tools, are also discussed.
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Affiliation(s)
| | | | | | | | - Mervin Meyer
- Department of Science and Innovation (DSI)/Mintek Nanotechnology Innovation Centre (NIC), Biolabels Research Node, Department of Biotechnology, University of the Western Cape (UWC), Bellville 7535, South Africa; (K.L.M.); (D.R.M.); (A.O.F.); (N.R.S.S.)
| | - Abram M. Madiehe
- Department of Science and Innovation (DSI)/Mintek Nanotechnology Innovation Centre (NIC), Biolabels Research Node, Department of Biotechnology, University of the Western Cape (UWC), Bellville 7535, South Africa; (K.L.M.); (D.R.M.); (A.O.F.); (N.R.S.S.)
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Duan X, Shi Y, Zhang X, Ge X, Fan R, Guo J, Li Y, Li G, Ding Y, Osman RA, Jiang W, Sun J, Luan X, Zhang G. Dual-detection fluorescent immunochromatographic assay for quantitative detection of SARS-CoV-2 spike RBD-ACE2 blocking neutralizing antibody. Biosens Bioelectron 2021; 199:113883. [PMID: 34942543 PMCID: PMC8673933 DOI: 10.1016/j.bios.2021.113883] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 12/03/2021] [Accepted: 12/09/2021] [Indexed: 12/16/2022]
Abstract
The global effort against the COVID-19 pandemic dictates that routine quantitative detection of SARS-CoV-2 neutralizing antibodies is vital for assessing immunity following periodic revaccination against new viral variants. Here, we report a dual-detection fluorescent immunochromatographic assay (DFIA), with a built-in self-calibration process, that enables rapid quantitative detection of neutralizing antibodies that block binding between the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein and the angiotensin-converting enzyme 2 (ACE2). Thus, this assay is based on the inhibition of binding between ACE2 and the RBD of the SARS-CoV-2 spike protein by neutralizing antibodies, and the affinity of anti-human immunoglobulins for these neutralizing antibodies. Our self-calibrating DFIA shows improved precision and sensitivity with a wider dynamic linear range, due to the incorporation of a ratiometric algorithm of two-reverse linkage signals responding to an analyte. This was evident by the fact that no positive results (0/14) were observed in verified negative samples, while 22 positives were detected in 23 samples from verified convalescent plasma. A comparative analysis of the ability to detect neutralizing antibodies in 266 clinical serum samples including those from vaccine recipients, indicated that the overall percent agreement between DFIA and the commercial ELISA kit was 90.98%. Thus, the proposed DFIA provides a more reliable and accurate rapid test for detecting SARS-CoV-2 infections and vaccinations in the community. Therefore, the DFIA based strategy for detecting biomarkers, which uses a ratiometric algorithm based on affinity and inhibition reactions, may be applied to improve the performance of immunochromatographic assays.
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Affiliation(s)
- Xuejun Duan
- Beijing North Institute of Biotechnology Co., Ltd., NO. A20 Panjiamiao, Fengtai Distrct, Beijing, China.
| | - Yijun Shi
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing, China
| | - Xudong Zhang
- Beijing North Institute of Biotechnology Co., Ltd., NO. A20 Panjiamiao, Fengtai Distrct, Beijing, China
| | - Xiaoxiao Ge
- Beijing Institute of Brain Disorders, Capital Medical Univerity, Beijing, China
| | - Rong Fan
- Beijing North Institute of Biotechnology Co., Ltd., NO. A20 Panjiamiao, Fengtai Distrct, Beijing, China
| | - Jinghan Guo
- Beijing North Institute of Biotechnology Co., Ltd., NO. A20 Panjiamiao, Fengtai Distrct, Beijing, China
| | - Yubin Li
- Beijing North Institute of Biotechnology Co., Ltd., NO. A20 Panjiamiao, Fengtai Distrct, Beijing, China
| | - Guoge Li
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing, China
| | - Yaowei Ding
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing, China
| | - Rasha Alsamani Osman
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing, China
| | - Wencan Jiang
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing, China
| | - Jialu Sun
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing, China
| | - Xin Luan
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing, China
| | - Guojun Zhang
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing, China.
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Lateral flow assays (LFA) as an alternative medical diagnosis method for detection of virus species: The intertwine of nanotechnology with sensing strategies. Trends Analyt Chem 2021; 145:116460. [PMID: 34697511 PMCID: PMC8529554 DOI: 10.1016/j.trac.2021.116460] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Viruses are responsible for multiple infections in humans that impose huge health burdens on individuals and populations worldwide. Therefore, numerous diagnostic methods and strategies have been developed for prevention, management, and decreasing the burden of viral diseases, each having its advantages and limitations. Viral infections are commonly detected using serological and nucleic acid-based methods. However, these conventional and clinical approaches have some limitations that can be resolved by implementing other detector devices. Therefore, the search for sensitive, selective, portable, and costless approaches as efficient alternative clinical methods for point of care testing (POCT) analysis has gained much attention in recent years. POCT is one of the ultimate goals in virus detection, and thus, the tests need to be rapid, specific, sensitive, accessible, and user-friendly. In this review, after a brief overview of viruses and their characteristics, the conventional viral detection methods, the clinical approaches, and their advantages and shortcomings are firstly explained. Then, LFA systems working principles, benefits, classification are discussed. Furthermore, the studies regarding designing and employing LFAs in diagnosing different types of viruses, especially SARS-CoV-2 as a main concern worldwide and innovations in the LFAs' approaches and designs, are comprehensively discussed here. Furthermore, several strategies addressed in some studies for overcoming LFA limitations like low sensitivity are reviewed. Numerous techniques are adopted to increase sensitivity and perform quantitative detection. Employing several visualization methods, using different labeling reporters, integrating LFAs with other detection methods to benefit from both LFA and the integrated detection device advantages, and designing unique membranes to increase reagent reactivity, are some of the approaches that are highlighted.
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45
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Ilkhani H, Hedayat N, Farhad S. Novel approaches for rapid detection of COVID-19 during the pandemic: A review. Anal Biochem 2021; 634:114362. [PMID: 34478703 PMCID: PMC8406551 DOI: 10.1016/j.ab.2021.114362] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 08/19/2021] [Accepted: 08/30/2021] [Indexed: 02/03/2023]
Abstract
The rapid spread of the SARS-CoV-2 virus that caused the COVID-19 disease, has highlighted our urgent need for sensitive, fast and accurate diagnostic technologies. In fact, one of the main challenges for flatting COVID-19 spread charts is the ability to accurately and rapidly identify asymptomatic cases that result in spreading the virus to close contacts. SARS-CoV-2 virus mutation is also relatively rapid, which makes the detection of COVID-19 diseases still crucial even after the vaccination. Conventional techniques, which are commercially available have focused on clinical manifestation, along with molecular and serological detection tools that can identify the SARS-CoV-2 virus however, owing to various disadvantages including low specificity and sensitivity, a quick, low cost and easy approach is needed for diagnosis of COVID-19. Scientists are now showing extensive interest in an effective portable and simple detection method to diagnose COVID-19. There are several novel methods and approaches that are considered viable advanced systems that can meet the demands. This study reviews the new approaches and sensing technologies that work on COVID-19 diagnosis for easy and successful detection of SARS-CoV-2 virus.
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Affiliation(s)
- Hoda Ilkhani
- Department of Chemistry and Chemical Biology, The University of New Mexico, Albuquerque, NM, 87144, United States,Corresponding author
| | - Nader Hedayat
- Department of Chemical and Biomolecular Engineering, The University of Akron, Akron, OH, 44325, United States
| | - Siamak Farhad
- Advanced Energy & Sensor Lab, Department of Mechanical Engineering, The University of Akron, Akron, OH, 44325, United States,Corresponding author
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46
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Zhou Y, Wu Y, Ding L, Huang X, Xiong Y. Point-of-care COVID-19 diagnostics powered by lateral flow assay. Trends Analyt Chem 2021; 145:116452. [PMID: 34629572 PMCID: PMC8487324 DOI: 10.1016/j.trac.2021.116452] [Citation(s) in RCA: 82] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Since its first discovery in December 2019, the global coronavirus disease 2019 (COVID-19) pandemic caused by the novel coronavirus (SARS-CoV-2) has been posing a serious threat to human life and health. Diagnostic testing is critical for the control and management of the COVID-19 pandemic. In particular, diagnostic testing at the point of care (POC) has been widely accepted as part of the post restriction COVID-19 control strategy. Lateral flow assay (LFA) is a popular POC diagnostic platform that plays an important role in controlling the COVID-19 pandemic in industrialized countries and resource-limited settings. Numerous pioneering studies on the design and development of diverse LFA-based diagnostic technologies for the rapid diagnosis of COVID-19 have been done and reported by researchers. Hundreds of LFA-based diagnostic prototypes have sprung up, some of which have been developed into commercial test kits for the rapid diagnosis of COVID-19. In this review, we summarize the crucial role of rapid diagnostic tests using LFA in targeting SARS-CoV-2-specific RNA, antibodies, antigens, and whole virus. Then, we discuss the design principle and working mechanisms of these available LFA methods, emphasizing their clinical diagnostic efficiency. Ultimately, we elaborate the challenges of current LFA diagnostics for COVID-19 and highlight the need for continuous improvement in rapid diagnostic tests.
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Affiliation(s)
- Yaofeng Zhou
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
| | - Yuhao Wu
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
| | - Lu Ding
- Hypertension Research Institute of Jiangxi Province, Department of Cardiology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, PR China
| | - Xiaolin Huang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
| | - Yonghua Xiong
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
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47
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Makoah NA, Tipih T, Litabe MM, Brink M, Sempa JB, Goedhals D, Burt FJ. A systematic review and meta-analysis of the sensitivity of antibody tests for the laboratory confirmation of COVID-19. Future Virol 2021; 17:10.2217/fvl-2021-0211. [PMID: 34950219 PMCID: PMC8686841 DOI: 10.2217/fvl-2021-0211] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Accepted: 11/19/2021] [Indexed: 12/14/2022]
Abstract
Aim: The aim of this study was to investigate the utility of serological tests for the diagnosis of COVID-19 during the first week of symptom onset in patients confirmed with the real-time RT-PCR. Materials & methods: A systematic review and meta-analysis of 58 publications were performed using data obtained from Academic Search Ultimate, Africa-wide, Scopus, Web of Science and MEDLINE. Results: We found that the highest pooled sensitivities were obtained with ELISA IgM-IgG and chemiluminescence immunoassay IgM tests. Conclusion: Serological tests have low sensitivity within the first week of symptom onset and cannot replace nucleic acid amplification tests. However, serological assays can be used to support nucleic acid amplification tests.
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Affiliation(s)
- Nigel A Makoah
- Division of Virology, Faculty of Health Sciences, University of The Free State, Bloemfontein, 9301, South Africa
| | - Thomas Tipih
- Division of Virology, Faculty of Health Sciences, University of The Free State, Bloemfontein, 9301, South Africa
| | - Matefo M Litabe
- Division of Virology, Faculty of Health Sciences, University of The Free State, Bloemfontein, 9301, South Africa
| | - Mareza Brink
- Free State Department of Health, Bloemfontein, 9301, South Africa
| | - Joseph B Sempa
- Department of Biostatistics, Faculty of Health Sciences, University of The Free State, Bloemfontein, 9301, South Africa
- DST-NRF Centre of Excellence in Epidemiological Modelling & Analysis (SACEMA), Stellenbosch University, Stellenbosch, 7600, South Africa
| | - Dominique Goedhals
- Division of Virology, Faculty of Health Sciences, University of The Free State, Bloemfontein, 9301, South Africa
- Division of Virology, National Health Laboratory Service, Bloemfontein, 9301, South Africa
| | - Felicity J Burt
- Division of Virology, Faculty of Health Sciences, University of The Free State, Bloemfontein, 9301, South Africa
- Division of Virology, National Health Laboratory Service, Bloemfontein, 9301, South Africa
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Vaquer A, Alba-Patiño A, Adrover-Jaume C, Russell SM, Aranda M, Borges M, Mena J, Del Castillo A, Socias A, Martín L, Arellano MM, Agudo M, Gonzalez-Freire M, Besalduch M, Clemente A, Barón E, de la Rica R. Nanoparticle transfer biosensors for the non-invasive detection of SARS-CoV-2 antigens trapped in surgical face masks. SENSORS AND ACTUATORS. B, CHEMICAL 2021; 345:130347. [PMID: 34188360 PMCID: PMC8225299 DOI: 10.1016/j.snb.2021.130347] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 06/07/2021] [Accepted: 06/22/2021] [Indexed: 05/08/2023]
Abstract
Detecting SARS-CoV-2 antigens in respiratory tract samples has become a widespread method for screening new SARS-CoV-2 infections. This requires a nasopharyngeal swab performed by a trained healthcare worker, which puts strain on saturated healthcare services. In this manuscript we describe a new approach for non-invasive COVID-19 diagnosis. It consists of using mobile biosensors for detecting viral antigens trapped in surgical face masks worn by patients. The biosensors are made of filter paper containing a nanoparticle reservoir. The nanoparticles transfer from the biosensor to the mask on contact, where they generate colorimetric signals that are quantified with a smartphone app. Sample collection requires wearing a surgical mask for 30 min, and the total assay time is shorter than 10 min. When tested in a cohort of 27 patients with mild or no symptoms, an area under the receiving operating curve (AUROC) of 0.99 was obtained (96.2 % sensitivity and 100 % specificity). Serial measurements revealed a high sensitivity and specificity when masks were worn up to 6 days after diagnosis. Surgical face masks are inexpensive and widely available, which makes this approach easy to implement anywhere. The excellent sensitivity, even when tested with asymptomatic patient samples, along with the mobile detection scheme and non-invasive sampling procedure, makes this biosensor design ideal for mass screening.
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Affiliation(s)
- Andreu Vaquer
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
| | - Alejandra Alba-Patiño
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
- University of the Balearic Islands, Chemistry Department, Palma de Mallorca, Spain
| | - Cristina Adrover-Jaume
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
- University of the Balearic Islands, Chemistry Department, Palma de Mallorca, Spain
| | - Steven M Russell
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
| | - María Aranda
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
- Multidisciplinary Sepsis Unit, ICU, Son Llatzer University Hospital, Spain
| | - Marcio Borges
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
- Multidisciplinary Sepsis Unit, ICU, Son Llatzer University Hospital, Spain
| | - Joana Mena
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
- Multidisciplinary Sepsis Unit, ICU, Son Llatzer University Hospital, Spain
| | - Alberto Del Castillo
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
- Multidisciplinary Sepsis Unit, ICU, Son Llatzer University Hospital, Spain
| | - Antonia Socias
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
- Multidisciplinary Sepsis Unit, ICU, Son Llatzer University Hospital, Spain
| | - Luisa Martín
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
- Emergency Department, Son Llatzer University Hospital, Spain
| | - María Magdalena Arellano
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
- Emergency Department, Son Llatzer University Hospital, Spain
| | - Miguel Agudo
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
- Emergency Department, Son Llatzer University Hospital, Spain
| | - Marta Gonzalez-Freire
- Translational Research In Aging and Longevity (TRIAL) Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
| | - Manuela Besalduch
- Servicio de Prevención de Riesgos Laborales, Servei de Salut Illes Balears, Spain
| | - Antonio Clemente
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
| | - Enrique Barón
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
| | - Roberto de la Rica
- Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), Spain
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Chen H, Sun W, Zhang Z, Tao Z, Qin Y, Ding Y, Wang L, Wang M, Hua X. Competitive immune-nanoplatforms with positive readout for the rapid detection of imidacloprid using gold nanoparticles. Mikrochim Acta 2021; 188:356. [PMID: 34585287 DOI: 10.1007/s00604-021-05027-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/11/2021] [Indexed: 10/20/2022]
Abstract
Two high-sensitivity competitive immune-nanoplatforms based on the inner filter effect (IFE-IN) and magnetic separation (MS-IN) with a positive readout were developed to rapidly detect imidacloprid (IMI) using gold nanoparticles (AuNPs). For IFE-IN, IMI competes with AuNPs-labeled IMI antigens (IMI-BSA-AuNPs) to bind with anti-IMI monoclonal antibody (mAb)-conjugated NaYF4:Yb,Er upconversion nanoparticles, which changes the fluorescence signal at excitation/emission wavelength of 980/544 nm. For MS-IN, the immunocomplex of IMI-BSA-AuNPs and magnetic-nanoparticles-labeled mAb (mAb-MNPs) dissociates in the presence of IMI, and the optical density of IMI-BSA-AuNPs at 525 nm increases with the IMI concentration after magnetic separation. Under the optimal conditions, the IMI concentration producing a 50% saturation of the signal (SC50) and linear range (SC10- SC90) were found to be 4.30 ng mL-1 and 0.47 - 21.37 ng mL-1 for IFE-IN, while 1.21 ng mL-1 and 0.07 - 10.21 ng mL-1 for MS-IN, respectively. Both IFE-IN and MS-IN achieved excellent accuracy for the detection of IMI in different matrices. The quantities of IMI in apple samples detected by IFE-IN and MS-IN were consistent with the high-performance liquid chromatography results. For IFE-IN, analyte competes with AuNPs-labeled-antigen to bind with the mAb-conjugated-UCNPs, which changes the fluorescence signal at 544 nm. For MS-IN, the immunocomplex of AuNPs-labeled-antigen and mAb-conjugated-MNPs dissociates in the presence of analyte, and the optical density of AuNPs-labeled-antigen at 525 nm increases with increasing analyte concentration after separation.
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Affiliation(s)
- He Chen
- College of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China
| | - Wanlin Sun
- College of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China
| | - Zhongrong Zhang
- College of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China
| | - Zhexuan Tao
- College of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China
| | - Yuling Qin
- College of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China
| | - Yuan Ding
- College of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China
| | - Limin Wang
- College of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China
| | - Minghua Wang
- College of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China
| | - Xiude Hua
- College of Plant Protection, Nanjing Agriculture University, Nanjing, 210095, China.
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50
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Zhou Y, Chen Y, Liu W, Fang H, Li X, Hou L, Liu Y, Lai W, Huang X, Xiong Y. Development of a rapid and sensitive quantum dot nanobead-based double-antigen sandwich lateral flow immunoassay and its clinical performance for the detection of SARS-CoV-2 total antibodies. SENSORS AND ACTUATORS. B, CHEMICAL 2021; 343:130139. [PMID: 34035562 DOI: 10.1016/j.snb.2021.130169] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 05/16/2021] [Accepted: 05/17/2021] [Indexed: 05/28/2023]
Abstract
Owing to the over-increasing demands in resisting and managing the coronavirus disease 2019 (COVID-19) pandemic, development of rapid, highly sensitive, accurate, and versatile tools for monitoring total antibody concentrations at the population level has been evolved as an urgent challenge on measuring the fatality rate, tracking the changes in incidence and prevalence, comprehending medical sequelae after recovery, as well as characterizing seroprevalence and vaccine coverage. To this end, herein we prepared highly luminescent quantum dot nanobeads (QBs) by embedding numerous quantum dots into polymer matrix, and then applied it as a signal-amplification label in lateral flow immunoassay (LFIA). After covalently linkage with the expressed recombinant SARS-CoV-2 spike protein (RSSP), the synthesized QBs were used to determine the total antibody levels in sera by virtue of a double-antigen sandwich immunoassay. Under the developed condition, the QB-LFIA can allow the rapid detection of SARS-CoV-2 total antibodies within 15 min with about one order of magnitude improvement in analytical sensitivity compared to conventional gold nanoparticle-based LFIA. In addition, the developed QB-LFIA performed well in clinical study in dynamic monitoring of serum antibody levels in the whole course of SARS-CoV-2 infection. In conclusion, we successfully developed a promising fluorescent immunological sensing tool for characterizing the host immune response to SARS-CoV-2 infection and confirming the acquired immunity to COVID-19 by evaluating the SRAS-CoV-2 total antibody level in the crowd.
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Affiliation(s)
- Yaofeng Zhou
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
| | - Yuan Chen
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- Jiangxi YeLi Medical Device Co., Ltd, Nanchang 330096, PR China
| | - Wenjuan Liu
- Jiangxi Weibang Biological Technology Co. Ltd, Nanchang 330096, PR China
| | - Hao Fang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
| | - Xiangmin Li
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- Jiangxi-OAI Joint Research Institute, Nanchang University, Nanchang 330047, PR China
| | - Li Hou
- Jiangxi YeLi Medical Device Co., Ltd, Nanchang 330096, PR China
| | - Yuanjie Liu
- College of Information and Electrical Engineering, China Agricultural University, Haidian, Beijing 100083, PR China
| | - Weihua Lai
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
| | - Xiaolin Huang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
| | - Yonghua Xiong
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- Jiangxi-OAI Joint Research Institute, Nanchang University, Nanchang 330047, PR China
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