1
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Lomae A, Teekayupak K, Preechakasedkit P, Pasomsub E, Ozer T, Henry CS, Citterio D, Vilaivan T, Chailapakul O, Ruecha N. Peptide nucleic acid probe-assisted paper-based electrochemical biosensor for multiplexed detection of respiratory viruses. Talanta 2024; 279:126613. [PMID: 39096788 DOI: 10.1016/j.talanta.2024.126613] [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: 01/25/2024] [Revised: 07/17/2024] [Accepted: 07/23/2024] [Indexed: 08/05/2024]
Abstract
The similar transmission patterns and early symptoms of respiratory viral infections, particularly severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza (H1N1), and respiratory syncytial virus (RSV), pose substantial challenges in the diagnosis, therapeutic management, and handling of these infectious diseases. Multiplexed point-of-care testing for detection is urgently needed for prompt and efficient disease management. Here, we introduce an electrochemical paper-based analytical device (ePAD) platform for multiplexed and label-free detection of SARS-CoV-2, H1N1, and RSV infection using immobilized pyrrolidinyl peptide nucleic acid probes. Hybridization between the probes and viral nucleic acid targets causes changes in the electrochemical response. The resulting sensor offers high sensitivity and low detection limits of 0.12, 0.35, and 0.36 pM for SARS-CoV-2 (N gene), H1N1, and RSV, respectively, without showing any cross-reactivities. The amplification-free detection of extracted RNA from 42 nasopharyngeal swab samples was successfully demonstrated and validated against reverse-transcription polymerase chain reaction (range of cycle threshold values: 17.43-25.89). The proposed platform showed excellent clinical sensitivity (100 %) and specificity (≥97 %) to achieve excellent agreement (κ ≥ 0.914) with the standard assay, thereby demonstrating its applicability for the screening and diagnosis of these respiratory diseases.
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Affiliation(s)
- Atchara Lomae
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand
| | - Kanyapat Teekayupak
- Electrochemistry and Optical Spectroscopy Center of Excellence (EOSCE), Department of Chemistry, Faculty of Science, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand
| | - Pattarachaya Preechakasedkit
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand
| | - Ekawat Pasomsub
- Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Tugba Ozer
- Department of Bioengineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, 34220, Istanbul, Turkey
| | - Charles S Henry
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand; Department of Chemistry, Colorado State University, Fort Collins, CO, 80523, USA
| | - Daniel Citterio
- Department of Applied Chemistry, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa, 223-8522, Japan
| | - Tirayut Vilaivan
- Organic Synthesis Research Unit, Department of Chemistry, Faculty of Science, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand
| | - Orawon Chailapakul
- Electrochemistry and Optical Spectroscopy Center of Excellence (EOSCE), Department of Chemistry, Faculty of Science, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand.
| | - Nipapan Ruecha
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand; Electrochemistry and Optical Spectroscopy Center of Excellence (EOSCE), Department of Chemistry, Faculty of Science, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand.
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2
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Chen J, Liu T, Zhang Y, Duan M, Yang Z, Chen M, Wang Y, Zheng L, Zhuang S, Zhang D. One-step time-resolved cascade logic gate microfluidic chip for home testing of SARS-CoV-2 and flu B. Biosens Bioelectron 2024; 263:116564. [PMID: 39033655 DOI: 10.1016/j.bios.2024.116564] [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: 05/10/2024] [Revised: 06/28/2024] [Accepted: 07/10/2024] [Indexed: 07/23/2024]
Abstract
Home testing technology strategy is critical for early screening of disease. However, current home testing technologies often require complex processes, which limits their application. In this study, a time-resolved cascade logic gate microfluidic chip (TCLMC) was revealed to enable capillary force-based one-step operation without manual intervention or professional equipment. By analogy with logic gates in the circuit, TCLMC could automatically control the fluid flow and regulate the incubation time to optimize the immunoassay. The limit of detection of TCLMC for SARS-CoV-2 and influenza B virus (Flu B) was 134.94 and 79.17 pg mL-1 within 10 min. Additionally, this study tested saliva samples from 12 Flu B patients and 24 healthy controls to verify its clinical application. The results showed that TCLMC had high sensitivity (100%), specificity (100%), and accuracy (100%). This study provides a new one-step strategy for home testing and demonstrates its great potential in the diagnosis field.
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Affiliation(s)
- Jingwei Chen
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai, 200093, PR China
| | - Tingting Liu
- Department of Pediatric Hematology/Oncology, Xinhua Hospital, Shanghai Jiaotong University, School of Medicine, Kongjiang Road 1665, Shanghai, 200092, PR China
| | - Yule Zhang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai, 200093, PR China
| | - Mengnan Duan
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai, 200093, PR China
| | - Zhijin Yang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai, 200093, PR China
| | - Mengya Chen
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai, 200093, PR China
| | - Yiran Wang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai, 200093, PR China
| | - Lulu Zheng
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai, 200093, PR China.
| | - Songlin Zhuang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai, 200093, PR China
| | - Dawei Zhang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai, 200093, PR China; Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, 200092, PR China
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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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4
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Han J, Lv Q, Su D, Chen L, Zhu S, Liu Q, Jiang Y, Li X, Jiang Y, Wang Z. Polymer Microspheres Copolymerized with Deep Red Fluorescent Molecules as a Label for Lateral Flow Immunochromatography. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2024; 40:6971-6979. [PMID: 38517386 DOI: 10.1021/acs.langmuir.3c04033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
The development of fluorescently labeled microspheres is a critical aspect of advancing the technology of lateral flow immunochromatography (LFIA) for biological detection. Nevertheless, potential interference posed by the background fluorescence originating from the nitrocellulose (NC) membrane would significantly impact the sensitivity and accuracy of microsphere-based detection in LFIA. In this work, an attempt was made to extend the π-conjugated system and asymmetric structure of rhodamine fluorophore, resulting in the synthesis of dye molecules (RB2) incorporating double bonds, which can reach an absolute photoluminescence quantum yield (PLQY) of 30.01% in EtOH. Subsequently, carboxyl group functionalized fluorescent microspheres were prepared in a two-step copolymerization via soap-free emulsion polymerization. The obtained microspheres were characterized by scanning electron microscopy, transmission electron microscopy, DLS, Fourier transform infrared spectroscopy, ultraviolet spectrophotometry, and fluorescence spectrophotometry. The results showed that RB2 was successfully copolymerized into the microspheres, and the resulting microspheres had good dispersion and stability with high red fluorescence intensity (λabs ∼ 610 nm, λem ∼ 660 nm). Utilizing these microspheres, the resulting lateral flow immunoassay was successfully found to detect SARS-CoV-2 N protein with a detection limit of 2.5 pg/mL and the linear concentration spanning from 2.5 pg/mL to 10 ng/mL. The results confirm the effectiveness of the synthetic fluorescent microspheres as the label for LFIA.
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Affiliation(s)
- Jiaxing Han
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
| | - Qingyu Lv
- State Key Laboratory of Pathogen and Biosecurity, Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, China
| | - Daoxiang Su
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
| | - Lucheng Chen
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
| | - Shihong Zhu
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
| | - Qi Liu
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
| | - Yongqiang Jiang
- State Key Laboratory of Pathogen and Biosecurity, Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, China
| | - Xiao Li
- Shandong Institute of Medical Device and Pharmaceutical Packaging Inspection, Jinan 250101, China
| | - Yong Jiang
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
| | - Zhifei Wang
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
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5
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Li J, Guan R, Wuethrich A, Yan M, Cheng J, Liu G, Zhan J, Trau M, Sun Y. High Accuracy of Clinical Verification of Electrohydrodynamic-Driven Nanobox-on-Mirror Platform for Molecular Identification of Respiratory Viruses. Anal Chem 2024; 96:4495-4504. [PMID: 38445954 DOI: 10.1021/acs.analchem.3c05120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
The molecular detection of multiple respiratory viruses provides evidence for the rational use of drugs and effective health management. Herein, we developed and tested the clinical performance of an electrohydrodynamic-driven nanobox-on-mirror platform (E-NoM) for the parallel, accurate, and sensitive detection of four respiratory viral antigens. The E-NoM platform uses gold-silver alloy nanoboxes as the core material with the deposition of a silver layer as a shell on the core surfaces to amplify and enable a reproducible Raman signal readout that facilitates accurate detection. Additionally, the E-NoM platform employs gold microelectrode arrays as the mirror with electrohydrodynamics to manipulate the fluid flow and enhance molecular interactions for an improved biosensing response. The presence of viral antigens binds the nanobox-based core-shell nanostructure on the gold microelectrode and creates the nanocavity with extremely strong "hot spots" to benefit sensitive analysis. Significantly, in a large clinical cohort with 227 patients, the designed E-NoM platform demonstrates the capability of screening respiratory infection with achieved clinical specificity, sensitivity, and accuracy of 100.0, 96.48, and 96.91%, respectively. It is anticipated that the E-NoM platform can find a position in clinical usage for respiratory disease diagnosis.
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Affiliation(s)
- Junrong Li
- National Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Rui Guan
- National Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Alain Wuethrich
- Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Mingzhe Yan
- Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430023, P. R. China
| | - Jing Cheng
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430072, P. R. China
| | - Guorong Liu
- National Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Jianbo Zhan
- Institute of Health Inspection and Testing Hubei Provincial Center for Disease Control and Prevention, Wuhan 430072, P. R. China
| | - Matt Trau
- Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Yao Sun
- National Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
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6
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Jankelow A, Chen CL, Cowell TW, Espinosa de Los Monteros J, Bian Z, Kindratenko V, Koprowski K, Darsi S, Han HS, Valera E, Bashir R. Multiplexed electrical detection of whole viruses from plasma in a microfluidic platform. Analyst 2024; 149:1190-1201. [PMID: 38213181 DOI: 10.1039/d3an01510f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
The advancement of point-of-care diagnostics is crucial to improving patient outcomes, especially in areas with low access to hospitals or specialized laboratories. In particular, rapid, sensitive, and multiplexed detection of disease biomarkers has great potential to achieve accurate diagnosis and inform high quality care for patients. Our Coulter counting and immunocapture based detection system has previously shown its broad applicability in the detection of cells, proteins, and nucleic acids. This paper expands the capability of the platform by demonstrating multiplexed detection of whole-virus particles using electrically distinguishable hydrogel beads by demonstrating the capability of our platform to achieve simultaneous detection at clinically relevant concentrations of hepatitis A virus (>2 × 103 IU mL-1) and human parvovirus B19 virus like particles (>106 IU mL-1) from plasma samples. The expanded versatility of the differential electrical counting platform allows for more robust and diverse testing capabilities.
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Affiliation(s)
- Aaron Jankelow
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
- Nick Holonyak Jr Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Biomedical Research Center, Carle Foundation Hospital, Urbana, Illinois, USA
| | - Chih-Lin Chen
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Thomas W Cowell
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Javier Espinosa de Los Monteros
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
- Biomedical Research Center, Carle Foundation Hospital, Urbana, Illinois, USA
| | - Zheng Bian
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
- Nick Holonyak Jr Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Victoria Kindratenko
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
- Nick Holonyak Jr Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Katherine Koprowski
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
- Nick Holonyak Jr Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Sriya Darsi
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
- Nick Holonyak Jr Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Hee-Sun Han
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Enrique Valera
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
- Nick Holonyak Jr Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Biomedical Research Center, Carle Foundation Hospital, Urbana, Illinois, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Rashid Bashir
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
- Nick Holonyak Jr Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Biomedical Research Center, Carle Foundation Hospital, Urbana, Illinois, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Biomedical and Translation Science, Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
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7
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Wang F, Li X, Liu Z, Zhao X, Zhao C, Hou G, Liu Q, Liu X. A Magnetic-Optical Triple-Mode Lateral Flow Immunoassay for Sensitive and Rapid Detection of Respiratory Adenovirus. Anal Chem 2024; 96:2059-2067. [PMID: 38258754 DOI: 10.1021/acs.analchem.3c04696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Human respiratory adenovirus (ADV) is a highly infectious respiratory virus with potential for pandemics. There are currently no specific drugs to treat ADV worldwide, so early rapid detection of ADV infection is essential. In this study, we developed an innovative magnetic-optical triple-mode lateral flow immunoassay (LFIA) using magnetic quantum dots as immunomarkers. This novel approach addresses the need for rapid and accurate ADV detection, allowing for multimodal quantitative/semiquantitative analysis of magnetic, fluorescent, and visible signals within a mere 15 min. The lower limit of detection (LOD) for magnetic, fluorescent, and visual signals was determined to be 5.6 × 103, 1.2 × 103, and 1.95 × 104 copies/mL, respectively. The detection range for ADV using this approach was 1.2 × 103-5 × 107 copies/mL. Additionally, semiquantitative analysis, which is user-friendly and does not necessitate specialized equipment, was successfully implemented. Notably, seven respiratory viruses showed no cross-reactivity with the generated LFIA test strips. The intrabatch repeatability exhibited a coefficient of variation (CV) of less than 5%, while the interbatch repeatability had a CV of less than 15%. Furthermore, recovery values ranged from 95% to 106.8% for samples analyzed concurrently with dual signals at the same spiking concentration. The assay developed in this study boasts a wide detection range and exceptional sensitivity and specificity. This technique is exceptionally well-suited for on-site rapid detection, with the potential for personal self-testing and early ADV infection diagnosis. Its versatility extends to a broad array of application scenarios.
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Affiliation(s)
- Fei Wang
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, PR China
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Xiaoyan Li
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Zhining Liu
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, PR China
| | - Xin Zhao
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, PR China
| | - Changxu Zhao
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Guangzheng Hou
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Qiqi Liu
- Bioinformatics Center of Academy of Military Medical Sciences, Beijing 100850, PR China
| | - Xin Liu
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, PR China
- Jinzhou Medical University Huludao Central Hospital Teaching Base, Huludao 125001,PR China
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