JOURNAL ARTICLE
Quantitative determination of four mycotoxins in cereal by fluorescent microsphere based immunochromatographic assay.
Published In: Journal of the Science of Food & Agriculture, 2023, v. 103, n. 8. P. 4017 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Sheng, Wei; Guo, Jing; Liu, Chenchen; Ma, Yueru; Liu, Junli; Zhang, Haoyu 3 of 3
Abstract
Background: Mycotoxins are secondary metabolites produced by fungi, which have serious effects on humans and animals. In this study, we selected the monodispersed polystyrene fluorescent microspheres with good luminescence performance and strong stability as markers to conjugate with four mycotoxins antibodies for preparing fluorescent probes. We have developed a fluorescent microsphere based immunochromatographic assay (FMICA) to detect sensitively and quickly zearalenone (ZEN), aflatoxin B1 (AFB1), fumonisin B1 (FB1), and ochratoxin A (OTA) in cereal. Results: Under optimal experimental conditions, the procedure of this method can be completed within 10 min. The limit of detection (LOD) of FMICA for ZEN, AFB1, FB1, and OTA is 0.072, 0.093, 0.32, and 0.19 μg L−1, respectively. And FMICA has good specificity and no cross‐reactivity with other mycotoxins. Four mycotoxins in naturally contaminated cereal samples (corn, rice, and oat) are detected by this method, and the results are highly consistent with that of ultra‐performance liquid chromatography–tandem mass spectrometry (UPLC–MS/MS). Conclusion: The developed FMICA has good accuracy, high sensitivity, simplicity, convenience, rapidity, and low cost, and it could be employed for sensitive and quantitative detecting of mycotoxins in cereal on‐site. © 2022 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of the Science of Food & Agriculture. 2023/06, Vol. 103, Issue 8, p4017
- Document Type:Article
- Subject Area:Chemistry
- Publication Date:2023
- ISSN:0022-5142
- DOI:10.1002/jsfa.12360
- Accession Number:163447323
- Copyright Statement:Copyright of Journal of the Science of Food & Agriculture is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.