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Mollarasouli F, Bahrani S, Amrollahimiyandeh Y, Paimard G. Nanomaterials-based immunosensors for avian influenza virus detection. Talanta 2024; 279:126591. [PMID: 39059066 DOI: 10.1016/j.talanta.2024.126591] [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: 01/28/2024] [Revised: 07/01/2024] [Accepted: 07/18/2024] [Indexed: 07/28/2024]
Abstract
Avian influenza viruses (AIV) are capable of infecting a considerable proportion of the world's population each year, leading to severe epidemics with high rates of morbidity and mortality. The methods now used to diagnose influenza virus A include the Western blot test (WB), hemagglutination inhibition (HI), and enzyme-linked immunosorbent assays (ELISAs). But because of their labor-intensiveness, lengthy procedures, need for costly equipment, and inexperienced staff, these approaches are considered inappropriate. The present review elucidates the recent advancements in the field of avian influenza detection through the utilization of nanomaterials-based immunosensors between 2014 and 2024. The classification of detection techniques has been taken into account to provide a comprehensive overview of the literature. The review encompasses a detailed illustration of the commonly employed detection mechanisms in immunosensors, namely, colorimetry, fluorescence assay, surface plasmon resonance (SPR), surface-enhanced Raman spectroscopy (SERS), electrochemical detection, quartz crystal microbalance (QCM) piezoelectric, and field-effect transistor (FET). Furthermore, the challenges and future prospects for the immunosensors have been deliberated upon. The present review aims to enhance the understanding of immunosensors-based sensing platforms for virus detection and to stimulate the development of novel immunosensors by providing novel ideas and inspirations. Therefore, the aim of this paper is to provide an updated information about biosensors, as a recent detection technique of influenza with its details regarding the various types of biosensors, which can be used for this review.
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Affiliation(s)
| | - Sonia Bahrani
- Borjobaru Fars Company, Nanotechnology Department, Fars Science and Technology Park, Shiraz, 7197687811, Iran; Department of Medical Nanotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Yousef Amrollahimiyandeh
- Borjobaru Fars Company, Nanotechnology Department, Fars Science and Technology Park, Shiraz, 7197687811, Iran
| | - Giti Paimard
- Laboratory of Nanoscale Biosensing and Bioimaging (NBAB), School of Ophthalmology and Optometry, School of Biomedical Engineering, State Key Laboratory of Ophthalmology Optometry, and Vision Science, Wenzhou Medical University, Wenzhou, Zhejiang, 325027, China
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Shao Y, Zhou H, Wu Q, Xiong Y, Wang J, Ding Y. Recent advances in enzyme-enhanced immunosensors. Biotechnol Adv 2021; 53:107867. [PMID: 34774928 DOI: 10.1016/j.biotechadv.2021.107867] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 10/31/2021] [Accepted: 11/05/2021] [Indexed: 12/19/2022]
Abstract
Among the products for rapid detection in different fields, enzyme-based immunosensors have received considerable attention. Recently, great efforts have been devoted to enhancing the output signals of enzymes through different strategies that can significantly improve the sensitivity of enzyme-based immunosensors for the need of practical applications. In this manuscript, the significance of enzyme-based signal transduction patterns in immunoassay and the central role of enzymes in achieving precise control of reaction systems are systematically described. In view of the rapid development of this field, we classify these strategies based on the combination of immune recognition and enzyme amplification into three categories, namely enzyme-based enhancement strategies, combination of the catalytic amplification of enzymes with other signal amplification methods, and substrate-based enhancement strategies. The current focus and future direction of enzyme-based immunoassays are also discussed. This article is not exhaustive, but focuses on the latest advances in different signal generation methods based on enzyme-initiated catalytic reactions and their applications in the detection field, which could provide an accessible introduction of enzyme-based immunosensors for the community with a view to further improving its application efficiency.
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Affiliation(s)
- Yanna Shao
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; Department of Food Science and Technology, Institute of Food Safety and Nutrition, College of Science & Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Huan Zhou
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; Department of Food Science and Technology, Institute of Food Safety and Nutrition, College of Science & Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Qingping Wu
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, College of Science & Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Yonghua Xiong
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Juan Wang
- College of Food Science, South China Agricultural University, Guangzhou 510432, China
| | - Yu Ding
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; Department of Food Science and Technology, Institute of Food Safety and Nutrition, College of Science & Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
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