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Surfactant-Enhanced and Automated Pretreatment Based on Immunoaffinity Magnetic Beads Coupled with Ultra-Performance Liquid Chromatography with Fluorescence Detection for the Determination of Aflatoxins in Peanut Oils.

Baoxia NiJin YeJinnan ChenLi LiHongmei LiuYu WuSongxue Wang
Published in: Journal of agricultural and food chemistry (2022)
Sample pretreatment is an important step in the detection and analysis of mycotoxins. However, conventional pretreatment methods are complex, time-consuming, and labor-intensive; moreover, they generate a large amount of organic waste that pollutes the environment. An environmentally friendly and automated pretreatment method is proposed. Without extraction using organic solvents in advance, aflatoxins in peanut oil are directly cleaned and concentrated by immunomagnetic beads with the aid of a reaction solution containing surfactant Tween-20. Under optimal conditions, the proposed pretreatment method requires 40 min to simultaneously pretreat 10-24 samples without any centrifugation or filtering steps, and virtually no organic waste was produced. This pretreatment step was coupled with ultra-performance liquid chromatography-fluorescence detection to develop an effective detection method. The recovery of spiked aflatoxins in peanut oils at different concentrations ranged from 91.6 to 100.8%, and the relative standard deviation was below 5.3%. This reliable method overcomes the drawbacks of conventional methods and offers great application prospects.
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