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Li G, Li Q, Wang X, Liu X, Zhang Y, Li R, Guo J, Zhang G. Lateral flow immunoassays for antigens, antibodies and haptens detection. Int J Biol Macromol 2023:125186. [PMID: 37268073 DOI: 10.1016/j.ijbiomac.2023.125186] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/08/2023] [Accepted: 05/30/2023] [Indexed: 06/04/2023]
Abstract
Lateral flow immunoassay (LFIA) is widely used as a rapid point-of-care testing (POCT) technique in food safety, veterinary and clinical detection on account of the accessible, fast and low-cost characteristics. After the outbreak of the coronavirus disease 2019 (COVID-19), different types of LFIAs have attracted considerable interest because of their ability of providing immediate diagnosis directly to users, thereby effectively controlling the outbreak. Based on the introduction of the principles and key components of LFIAs, this review focuses on the major detection formats of LFIAs for antigens, antibodies and haptens. With the rapid innovation of detection technologies, new trends of novel labels, multiplex and digital assays are increasingly integrated with LFIAs. Therefore, this review will also introduce the development of new trends of LFIAs as well as its future perspectives.
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Affiliation(s)
- Ge Li
- College of Veterinary Medicine, Northwest Agriculture and Forestry University, Yangling 712100, China
| | - Qingmei Li
- Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Xun Wang
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002, China
| | - Xiao Liu
- Henan Medical College, Zhengzhou 451191, China
| | - Yuhang Zhang
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002, China
| | - Rui Li
- Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Junqing Guo
- Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China.
| | - Gaiping Zhang
- College of Veterinary Medicine, Northwest Agriculture and Forestry University, Yangling 712100, China; Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; College of Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002, China; Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou University, Yangzhou 225009, China.
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Zhou J, Wang Z, Qian W, Liang C, Chen Y, Liu H, Liu Y, Zhu X, Wang A. Quantum dot-based fluorescence immunosorbent assay for the rapid detection of bacitracin zinc in feed samples. LUMINESCENCE 2022; 37:1300-1308. [PMID: 35637545 DOI: 10.1002/bio.4296] [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: 03/10/2021] [Revised: 05/17/2022] [Accepted: 05/24/2022] [Indexed: 11/09/2022]
Abstract
Bacitracin zinc (BAC), a polypeptide antibiotic, is utilized as a feed additive due to its ability to promote growth in animals. However, the abuse of BAC can lead to a great threat to food safety. Therefore, there is an urgent need to develop a rapid and sensitive detection method. In this study, a monoclonal antibody (mAb) against BAC with excellent sensitivity and specificity was obtained. For the first time, quantum dots (QDs) were conjugated with the prepared mAb against BAC and rabbit anti-mouse antibody to fabricate a direct and an indirect competitive fluorescence-linked immunosorbent assay (dc-FLISA and ic-FLISA) to detect BAC. The IC50 of dc-FLISA and ic-FLISA were 0.28 ng/ml and 0.17 ng/ml, respectively. The limits of detection were 0.0016 ng/ml and 0.001 ng/ml, respectively, and the detection ranges were 0.0016-46.50 ng/ml and 0.001-35.65 ng/ml, respectively. In addition, the recovery rate of the two methods ranged from 93.5% to 112.0%, and the coefficient of variation (CV) was less than 10%. Therefore, the methods developed in this work have the merits of low cost, simple operation, and high sensitivity, which provide an effective analytical tool for BAC residue detection in feed samples.
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Affiliation(s)
- Jingming Zhou
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhuoyang Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Wenjing Qian
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Chao Liang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yumei Chen
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Hongliang Liu
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yankai Liu
- 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
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