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Li Z, Jallow A, Nidiaye S, Huang Y, Zhang Q, Li P, Tang X. Improvement of the sensitivity of lateral flow systems for detecting mycotoxins: Up-to-date strategies and future perspectives. Compr Rev Food Sci Food Saf 2024; 23:e13255. [PMID: 38284606 DOI: 10.1111/1541-4337.13255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 09/05/2023] [Accepted: 09/30/2023] [Indexed: 01/30/2024]
Abstract
Mycotoxins are dangerous human and animal health-threatening secondary fungal metabolites that can be found in various food and agricultural products. Several countries have established regulations to restrict their presence in food and agricultural products destined for human and animal consumption. Consequently, the need to develop highly sensitive and smart detection systems was recognized worldwide. Lateral flow assay possesses the advantages of easy operation, rapidity, stability, accuracy, and specificity, and it plays an important role in the detection of mycotoxins. Nevertheless, strategies to comprehensively improve the sensitivity of lateral flow assay to mycotoxins in food have rarely been highlighted and discussed. In this article, a comprehensive overview was presented on the application of lateral flow assay in mycotoxin detection in food samples by highlighting the principle of lateral flow assay, presenting a detailed discussion on various analytical performance-improvement strategies, such as the development of high-affinity recognition reagents, immunogen immobilization methods, and signal amplification. Additionally, a detailed discussion on the various signal analyzers and interpretation approaches was provided. Finally, current hurdles and future perspectives on the application of lateral flow assay in the detection of mycotoxins were discussed.
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Affiliation(s)
- Zhiqiang Li
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs; Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs; Quality Inspection and Test Center for Oil seed Products, Ministry of Agriculture and Rural Affairs; Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Abdoulie Jallow
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs; Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs; Quality Inspection and Test Center for Oil seed Products, Ministry of Agriculture and Rural Affairs; Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Seyni Nidiaye
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs; Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs; Quality Inspection and Test Center for Oil seed Products, Ministry of Agriculture and Rural Affairs; Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Yi Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs; Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs; Quality Inspection and Test Center for Oil seed Products, Ministry of Agriculture and Rural Affairs; Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Qi Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs; Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs; Quality Inspection and Test Center for Oil seed Products, Ministry of Agriculture and Rural Affairs; Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Food Safety Research Institute, HuBei University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Peiwu Li
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs; Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs; Quality Inspection and Test Center for Oil seed Products, Ministry of Agriculture and Rural Affairs; Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Food Safety Research Institute, HuBei University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
- Xianghu Laboratory, Hangzhou, China
| | - Xiaoqian Tang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs; Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs; Quality Inspection and Test Center for Oil seed Products, Ministry of Agriculture and Rural Affairs; Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Food Safety Research Institute, HuBei University, Wuhan, China
- Xianghu Laboratory, Hangzhou, China
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Qiao W, He B, Yang J, Ren W, Zhao R, Zhang Y, Bai C, Suo Z, Xu Y, Wei M, Jin H. Pt@AuNF nanozyme and horseradish peroxidase-based lateral flow immunoassay dual enzymes signal amplification strategy for sensitive detection of zearalenone. Int J Biol Macromol 2024; 254:127746. [PMID: 37923041 DOI: 10.1016/j.ijbiomac.2023.127746] [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: 08/29/2023] [Revised: 10/24/2023] [Accepted: 10/26/2023] [Indexed: 11/07/2023]
Abstract
Lateral flow immunoassay (LFIA) has been employed extensively for the rapid, accurate, and portable detection of foodborne toxins. Here, the platinum gold nanoflower core-shell (Pt@AuNF) nanozyme with excellent optical properties, good catalytic ability and controllable reaction conditions were prepared to effectively improve the performance of lateral flow immunoassay (LFIA) strips. The Pt@AuNF nanozyme and horseradish peroxidase (HRP) combined with monoclonal antibody were used as signal probes based on the dual enzymes catalytic signal amplification strategy to detect Zearalenone sensitively. Dual enzymes catalyze the decomposition of hydrogen peroxide into hydroxyl radicals, and under the influence of hydroxyl radicals, colorless 3,3',5,5' -tetramethylbenzidine (TMB) is oxidized to blue ox-TMB, which is superimposed on the strips for signal amplification to broaden the detection range. The limit of detection (LOD) of the Pt@AuNF-HRP labeled LFIA strips after signal amplification was 0.052 ng/mL, and the detection range was 0.052-7.21 ng/mL. Compared with the Pt@AuNF labeled strips, while reducing the probes amount by half to achieve antibody conservation, the detection range was expanded by 5-fold based on achieving improved sensitivity. The study provided a meaningful reference for expanding the detection range based on immunoassay.
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Affiliation(s)
- Weili Qiao
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, PR China
| | - Baoshan He
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, PR China.
| | - Jun Yang
- Department of Entomology, University of California, Davis, CA 95616, United States
| | - Wenjie Ren
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, PR China
| | - Renyong Zhao
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, PR China
| | - Yurong Zhang
- School of Food and Strategic Reserves, Henan University of Technology, Zhengzhou, Henan 450001, PR China.
| | - Chunqi Bai
- School of Food and Strategic Reserves, Henan University of Technology, Zhengzhou, Henan 450001, PR China
| | - Zhiguang Suo
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, PR China
| | - Yiwei Xu
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, PR China
| | - Min Wei
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, PR China
| | - Huali Jin
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, PR China
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