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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In this study, a multicolor visual method based on a magnetic immunoassay and enzyme-induced gold nanobipyramids (Au NBPs) etching was developed for deoxynivalenol (DON) detection. The magnetic beads modified with high affinity DON monoclonal antibodies were used as a carrier for target enrichment and signal transformation and the Au NBPs with excellent plasmonic optical properties were served as enzymatic etching substrates. The oxidation state TMB, which was generated through catalysis of horseradish peroxidase (HRP), induced the etching of plasmonic Au NBPs, resulting in the longitudinal peak blue-shift of local surface plasmon resonance (LSPR). Correspondingly, Au NBPs with various aspect ratios displayed a variety of individual colors which were visualized by the naked eye. The LSPR peak shift was linearly related to the DON concentration in the range of 0~2000 ng/mL and the detection limit was 57.93 ng/mL. The recovery for naturally contaminated wheat and maize at different concentrations ranged from 93.7% to 105.7% with a good relative standard deviation below 11.8%. Through observing the color change in Au NBPs, samples with overproof DON could be screened preliminarily by the naked eye. The proposed method has the potential to be applied in on-site rapid screening of mycotoxins in grain. In addition, the current multicolor visual method only used for the simultaneous detection of multiple mycotoxins is in urgent need of a breakthrough to overcome the limitation of single mycotoxin detection.

Sample pretreatment is a vital step in the detection of mycotoxins, and traditional pretreatment methods are time-consuming, labor-intensive and generate much organic waste liquid. In this work, an automatic, high-throughput and environmentally friendly pretreatment method is proposed. Immunomagnetic beads technology and dispersive liquid–liquid microextraction technology are combined, and the zearalenone in corn oils is directly purified and concentrated under the solubilization effects of surfactant. The proposed pretreatment method allows for the batch pretreatment of samples without pre-extraction using organic reagents, and almost no organic waste liquid is produced. Coupled with UPLC-FLD, an effective and accurate quantitative detection method for zearalenone is established. The recovery of spiked zearalenone in corn oils at different concentrations ranges from 85.7 to 89.0%, and the relative standard deviation is below 2.9%. The proposed pretreatment method overcomes the shortcomings of traditional pretreatment methods and has broad application prospects.