ArticleFoods (Basel, Switzerland)2022
Simultaneous Determination of 11 Mycotoxins in Maize via Multiple-Impurity Adsorption Combined with Liquid Chromatography-Tandem Mass Spectrometry.
Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 31 citations in OpenAlex.
- A label-free dual-mode aptasensor for detecting zearalenone based on exonuclease I cascaded PtNWs/MXene nanozyme.Mikrochimica acta · 2026Article
- Article
- Ion source component development for ambient mass spectrometry-based mycotoxin detection in ready-to-eat corn.Mikrochimica acta · 2025Article
- Research Progress and Management Strategies for the Common Mycotoxin Contamination of Traditional Chinese Medicines.Journal of fungi (Basel, Switzerland) · 2025Review
- Rapid screening of fumonisins in maize using near-infrared spectroscopy (NIRS) and machine learning algorithms.Food chemistry: X · 2025Article
- Development of a Sensitive Enzyme Immunoassay Using Phage-Displayed Antigen-Binding Fragments for Zearalenone Detection in Cereal Samples.Foods (Basel, Switzerland) · 2025Article
- Optimization, Validation, and Application of Cleanup-Coupled Liquid Chromatography-Tandem Mass Spectrometry for the Simultaneous Analyses of 35 Mycotoxins and Their Derivatives in Cereals.Foods (Basel, Switzerland) · 2024Article
- Simultaneous Determination of Aflatoxin B1 and Ochratoxin A in Cereals by a Novel Electrochemical Aptasensor Using Metal-Organic Framework as Signal Carrier.Foods (Basel, Switzerland) · 2024Article
- Food Safety Aspects of Breeding Maize to Multi-Resistance against the MajorJournal of fungi (Basel, Switzerland) · 2024Review
- Advancements in Sample Preparation Methods for the Chromatographic and Mass Spectrometric Determination of Zearalenone and Its Metabolites in Food: An Overview.Foods (Basel, Switzerland) · 2023Review
- Review
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
In this study, multiple-impurity adsorption purification (MIA) technologies and liquid chromatography−tandem mass spectrometry (LC-MS/MS) were used to establish a method for detecting 11 mycotoxins in maize. The conditions for mass spectrometry and MIA were optimized. Maize was extracted with 70% acetonitrile solution, enriched, and purified using MIA technologies, and then, analyzed via LC-MS/MS. The results showed that the linear correlation coefficients of the 11 mycotoxins were >0.99, the sample recoveries ranged from 77.5% to 98.4%, and the relative standard deviations were <15%. The validated method was applied to investigate actual samples, and the results showed that the main contaminating toxins in maize were aflatoxins (AFs), deoxynivalenol (DON), fumonisins (FBs), ochratoxin A (OTA), and zearalenone (ZEN). Additionally, simultaneous contamination by multiple toxins was common. The maximum detection values of the mycotoxins were 77.65, 1280.18, 200,212.41, 9.67, and 526.37 μg/kg for AFs, DON, FBs, OTA, and ZEN, respectively. The method is simple in pre-treatment, convenient in operation, and suitable for the simultaneous determination of 11 types of mycotoxins in maize.
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Registered trials
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