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Caglayan MO, Şahin S, Üstündağ Z. Detection Strategies of Zearalenone for Food Safety: A Review. Crit Rev Anal Chem 2020; 52:294-313. [PMID: 32715728 DOI: 10.1080/10408347.2020.1797468] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Zearalenone (ZEN) is a toxic compound produced by the metabolism of fungi (genus Fusarium) that threaten the food and agricultural industry belonging to the in foods and feeds. ZEN has toxic effects on human and animal health due to its mutagenicity, teratogenicity, carcinogenicity, nephrotoxicity, immunotoxicity, and genotoxicity. To ensure food safety, rapid, precise, and reliable analytical methods can be developed for the detection of toxins such as ZEN. Different selective molecular diagnostic elements are used in conjunction with different detection strategies to achieve this goal. In this review, the use of electrochemical, colorimetric, fluorometric, refractometric as well as other strategies were discussed for ZEN detection. The success of the sensors in analytical performance depends on the development of receptors with increased affinity to the target. This requirement has been met with different immunoassays, aptamer-assays, and molecular imprinting techniques. The immobilization techniques and analysis strategies developed with the combination of nanomaterials provided high precision, reliability, and convenience in ZEN detection, in which electrochemical strategies perform the best.
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Affiliation(s)
| | - Samet Şahin
- Department of Bioengineering, Bilecik Şeyh Edebali University, Bilecik, Turkey
| | - Zafer Üstündağ
- Department of Chemistry, Kütahya Dumlupınar University, Kütahya, Turkey
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Zhang X, Yu X, Wen K, Li C, Mujtaba Mari G, Jiang H, Shi W, Shen J, Wang Z. Multiplex Lateral Flow Immunoassays Based on Amorphous Carbon Nanoparticles for Detecting Three Fusarium Mycotoxins in Maize. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2017; 65:8063-8071. [PMID: 28825819 DOI: 10.1021/acs.jafc.7b02827] [Citation(s) in RCA: 87] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The detecting labels used for lateral flow immunoassays (LFAs) have been traditionally gold nanoparticles (GNPs) and, more recently, luminescent nanoparticles, such as quantum dots (QDs). However, these labels have low sensitivity and are costly, in particular, for trace detection of mycotoxins in cereals. Here, we provided a simple preparation procedure for amorphous carbon nanoparticles (ACNPs) and described multiplex LFAs employing ACNPs as labels (ACNP-LFAs) for detecting three Fusarium mycotoxins. The analytical performance of ACNPs in LFA was compared to GNPs and QDs using the same immunoreagents, except for the labels, allowing for their analytical characteristics to be objectively compared. The visual limit of detection for ACNP-LFAs in buffer was 8-fold better than GNPs and 2-fold better than QDs. Under optimized conditions, the quantitative limit of detection of ACNP-LFAs in maize was as low as 20 μg/kg for deoxynivalenol, 13 μg/kg for T-2 toxin, and 1 μg/kg for zearalenone. These measurements were much lower than the action level of these mycotoxins in maize. The accuracy and precision of the ACNP-LFAs were evaluated by analysis of spiked and incurred maize samples with recoveries of 84.6-109% and coefficients of variation below 13%. The results of ACNP-LFAs using naturally incurred maize samples showed good agreement with results from high-performance liquid chromatography-tandem mass spectrometry, indicating that ACNPs were more sensitive labels than and a promising alternative to GNPs used in LFAs for detecting mycotoxins in cereals.
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Affiliation(s)
- Xiya Zhang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
- College of Food Science and Technology, Henan Agricultural University , 63 Nongye Road, Zhengzhou, Henan 450002, People's Republic of China
| | - Xuezhi Yu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
| | - Kai Wen
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
| | - Chenglong Li
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
| | - Ghulam Mujtaba Mari
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
| | - Haiyang Jiang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
| | - Weimin Shi
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
| | - Jianzhong Shen
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
| | - Zhanhui Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
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Zhang X, Eremin SA, Wen K, Yu X, Li C, Ke Y, Jiang H, Shen J, Wang Z. Fluorescence Polarization Immunoassay Based on a New Monoclonal Antibody for the Detection of the Zearalenone Class of Mycotoxins in Maize. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2017; 65:2240-2247. [PMID: 28231710 DOI: 10.1021/acs.jafc.6b05614] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
To develop a sensitive fluorescence polarization immunoassay (FPIA) for screening the zearalenone class of mycotoxins in maize, two new monoclonal antibodies with uniform affinity to the zearalenone class and four fluorescein-labeled tracers were prepared. After careful selection of appropriate tracer-antibody pairs in terms of sensitivity and specificity, a FPIA that could simultaneously detect the zearalenone class with similar sensitivity was developed. Under optimum conditions, the half maximal inhibitory concentrations of the FPIA in buffer were 1.89, 1.97, 2.43, 1.99, 2.27, and 2.44 μg/L for zearalenone, α-zearalenol, β-zearalenol, α-zearalanol, β-zearalanol, and zearalanone, respectively. The limit of detection of FPIA for the zearalenone class was around 12 μg/kg in maize, and the recoveries ranged from 84.6 to 113.8%, with coefficients of variation below 15.3% in spiked samples. Finally, the FPIA was applied for screening naturally contaminated maize samples, and the results indicated a good correlation with that of high-performance liquid chromatography-tandem mass spectrometry.
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Affiliation(s)
- Xiya Zhang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
| | - Sergei A Eremin
- Department of Chemical Enzymology, Faculty of Chemistry, M. V. Lomonosov Moscow State University , Moscow 119991, Russia
| | - Kai Wen
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
| | - Xuezhi Yu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
| | - Chenglong Li
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
| | - Yuebin Ke
- Department of Genetic Toxicology, Shenzhen Center for Disease Control and Prevention , Shenzhen, Guangdong 518020, People's Republic of China
| | - Haiyang Jiang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
| | - Jianzhong Shen
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
| | - Zhanhui Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University , Beijing 100193, People's Republic of China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety , Beijing 100193, People's Republic of China
- Beijing Laboratory for Food Quality and Safety , Beijing 100193, People's Republic of China
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