Mycotoxins-Biomonitoring and Human Exposure.
Kristina J HabschiedGabriella Kanižai ŠarićVinko KrstanovićKrešimir M MastanjevićPublished in: Toxins (2021)
Mycotoxins are secondary metabolites produced by fungal species that commonly have a toxic effect on human and animal health. Different foodstuff can be contaminated and are considered the major source of human exposure to mycotoxins, but occupational and environmental exposure can also significantly contribute to this problem. This review aims to provide a short overview of the occurrence of toxigenic fungi and regulated mycotoxins in foods and workplaces, following the current literature and data presented in scientific papers. Biomonitoring of mycotoxins in plasma, serum, urine, and blood samples has become a common method for determining the exposure to different mycotoxins. Novel techniques are more and more precise and accurate and are aiming toward the simultaneous determination of multiple mycotoxins in one analysis. Application of liquid chromatography (LC) methodologies, coupled with tandem mass spectrometry (MS/MS) or high-resolution mass spectrometry (HRMS) has become a common and most reliable method for determining the exposure to mycotoxins. Numerous references confirm the importance of mycotoxin biomonitoring to assess the exposure for humans and animals. The objectives of this paper were to review the general approaches to biomonitoring of different mycotoxins and the occurrence of toxigenic fungi and their mycotoxins, using recent literature sources.
Keyphrases
- liquid chromatography
- tandem mass spectrometry
- high resolution mass spectrometry
- simultaneous determination
- ultra high performance liquid chromatography
- mass spectrometry
- high performance liquid chromatography
- endothelial cells
- gas chromatography
- liquid chromatography tandem mass spectrometry
- ms ms
- systematic review
- solid phase extraction
- high resolution
- induced pluripotent stem cells
- drinking water
- public health
- healthcare
- heavy metals
- pluripotent stem cells
- artificial intelligence
- electronic health record