AIMC Topic: Mycotoxins

Clear Filters Showing 11 to 19 of 19 articles

Pixel-Level Recognition of Trace Mycotoxins in Red Ginseng Based on Hyperspectral Imaging Combined with 1DCNN-Residual-BiLSTM-Attention Model.

Sensors (Basel, Switzerland) May 27, 2024
Red ginseng is widely used in food and pharmaceuticals due to its significant nutritional value. However, during the processing and storage of red ginseng, it is susceptible to grow mold and produce mycotoxins, generating security issues. This study ...
Neural Networks, Computer Mycotoxins Hyperspectral Imaging Panax
View on PubMed DOI

Quantitative Rapid Magnetic Immunoassay for Sensitive Toxin Detection in Food: Non-Covalent Functionalization of Nanolabels vs. Covalent Immobilization.

Toxins Dec 20, 2023
In this study, we present a novel and ultrasensitive magnetic lateral flow immunoassay (LFIA) tailored for the precise detection of zearalenone, a mycotoxin with significant implications for human and animal health. A versatile and straightforward me...
Immunoassay Food Contamination Zearalenone Kinetics Humans Limit of Detection Mycotoxins Magnetic Phenomena Animals
View on PubMed DOI

Rapid and sensitive UHPLC-MS/MS methods for dietary sample analysis of 43 mycotoxins in China total diet study.

Journal of advanced research Oct 19, 2021
INTRODUCTION: Mycotoxins are toxic metabolites produced by fungi that commonly contaminate foods. As recommended by the World Health Organization, total diet study (TDS) is the most efficient and effective way to estimate the dietary intakes of certa...
Chromatography, High Pressure Liquid Tandem Mass Spectrometry Diet Mycotoxins Solid Phase Extraction
View on PubMed DOI

Prioritization of Mycotoxins Based on Their Genotoxic Potential with an In Silico-In Vitro Strategy.

Toxins Oct 19, 2021
Humans are widely exposed to a great variety of mycotoxins and their mixtures. Therefore, it is important to design strategies that allow prioritizing mycotoxins based on their toxic potential in a time and cost-effective manner. A strategy combining...
Mutagenicity Tests Activation, Metabolic Salmonella typhimurium DNA Damage Expert Systems Quantitative Structure-Activity Relationship Mycotoxins Rats Rats, Sprague-Dawley Animals Male
View on PubMed DOI

Machine learning approach for predicting Fusarium culmorum and F. proliferatum growth and mycotoxin production in treatments with ethylene-vinyl alcohol copolymer films containing pure components of essential oils.

International journal of food microbiology Dec 3, 2020
Fusarium culmorum and F. proliferatum can grow and produce, respectively, zearalenone (ZEA) and fumonisins (FUM) in different points of the food chain. Application of antifungal chemicals to control these fungi and mycotoxins increases the risk of to...
Food Microbiology Fusarium Machine Learning Mycotoxins Polyvinyls Oils, Volatile Antifungal Agents
View on PubMed DOI

Comparison of Data from a Single-Analyte and a Multianalyte Method for Determination of Urinary Total Deoxynivalenol in Human Samples.

Journal of agricultural and food chemistry Nov 28, 2016
Deoxynivalenol (DON) exposure is estimated by the combined measures of urinary DON and DON-glucuronides. In this study, data from single-mycotoxin (SM) and a multimycotoxin (MM) methods were compared for 256 Swedish adult urine samples. Both methods ...
Pilot Projects Adolescent Chromatography, Liquid Mycotoxins Food Contamination Female Male Aged Middle Aged Young Adult Humans Aged, 80 and over Tandem Mass Spectrometry Adult Trichothecenes
View on PubMed DOI

DeepMBEnzy: An AI-Driven Database of Mycotoxin Biotransformation Enzymes.

Journal of agricultural and food chemistry May 28, 2025
Mycotoxins are toxic fungal metabolites that pose significant health risks. Enzyme biotransformation is a promising option for detoxifying mycotoxins and for elucidating their intracellular metabolism. However, few mycotoxin-biotransformation enzymes...
Databases, Factual Deep Learning Biotransformation Mycotoxins Fungal Proteins Fungi Enzymes
View on PubMed DOI

Optimized SVR with nature-inspired algorithms for environmental modelling of mycotoxins in food virtual-water samples.

Scientific reports May 13, 2025
The accurate determination of mycotoxins in food samples is crucial to guarantee food safety and minimize their toxic effects on human and animal health. This study proposed the use of a support vector regression (SVR) predictive model improved by tw...
Humans Algorithms Water Food Safety Food Contamination Mycotoxins Models, Theoretical Support Vector Machine
View on PubMed DOI

New Strategies and Artificial Intelligence Methods for the Mitigation of Toxigenic Fungi and Mycotoxins in Foods.

Toxins May 7, 2025
The proliferation of toxigenic fungi in food and the subsequent production of mycotoxins constitute a significant concern in the fields of public health and consumer protection. This review highlights recent strategies and emerging methods aimed at p...
Fungi Food Microbiology Mycotoxins Humans Animals Food Contamination Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals