Literature DB >> 33188663

A mix-and-detect method based on colloidal gold immunochromatographic assay for on-site detection of zearalenone in edible oils.

Xinyi Mao1, Yuxiang Wu2, Huitian Chen1, Yifan Wang1, Binger Yu1, Guoqing Shi1.   

Abstract

The common methods to detect zearalenone (ZEN) in edible oils need organic solvents to extract ZEN and then some sample purification process before detection, so, it is not convenient for on-site use. Here a simple method without organic solvents and a sample purification process was developed for the determination of ZEN in edible oils. The detection process only needs mixing oil with a surfactant solution in the indicated ratio and then loading the mixture onto a colloidal gold immunochromatographic (CGI) strip for detection. The optimized surfactant was AEO15 among the seven surfactants studied in this paper. The ZEN residue in edible oil could be quantitatively determined with a detection limit of 44.3 ng g-1, and the working range of the standard curve was from 50 to 800 ng g-1. This method has been successfully applied to the detection of ZEN in plant oils with recoveries ranging from 81 ± 7% to 129 ± 9% for spiked samples. The detection results for the ZEN residue in oil samples from a local market by this method were in good agreement with those obtained by the national standard method.

Entities:  

Year:  2020        PMID: 33188663     DOI: 10.1039/d0ay01752c

Source DB:  PubMed          Journal:  Anal Methods        ISSN: 1759-9660            Impact factor:   2.896


  2 in total

1.  Highly sensitive and convenient aptasensor based on Au NPs@Ce-TpBpy COF for quantitative determination of zearalenone.

Authors:  Zhixiong Chen; Meng Yang; Ziying Li; Wenchun Liao; Bengqi Chen; Tong Yang; Rong Hu; Yunhui Yang; Shuang Meng
Journal:  RSC Adv       Date:  2022-06-13       Impact factor: 4.036

2.  Development of a Hydrazine-Based Solid-Phase Extraction and Clean-Up Method for Highly Selective Quantification of Zearalenone in Edible Vegetable Oils by HPLC-FLD.

Authors:  Matthias Koch; Tatjana Mauch; Juliane Riedel
Journal:  Toxins (Basel)       Date:  2022-08-11       Impact factor: 5.075

  2 in total

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