Moniliformin Occurrence in Serbian Maize over Four Years: Understanding Weather-Dependent Variability

Toxins (Basel). 2023 Oct 30;15(11):634. doi: 10.3390/toxins15110634.

Abstract

Moniliformin (MON) represents one of the most widespread emerging mycotoxins, whose presence in food and feed can potentially cause harmful effects on the health of both the public and animals. In order to investigate MON occurrence, a total of four hundred (n = 400) samples of unprocessed maize were sampled from different regions (Bačka, Banat, and Srem) of Serbia during a period of four years (2018-2021) and were analyzed using a validated liquid chromatography with tandem mass spectrometry (LC-MS/MS) method. The influence of regional differences and variations from year to year in terms of weather conditions on the occurrence of MON was also assessed. The obtained validation parameters indicated that the LC-MS/MS method is applicable to the determination of MON in maize samples. It can be observed from the acquired findings that all samples were contaminated with MON, while concentration levels varied between the samples, especially from different sampling years. The maize samples showed the greatest levels of MON concentration during the dry and hot climatic conditions experienced in 2021. In maize samples harvested in the period 2018-2020, the MON concentration levels detected were about two to three times lower compared to the year 2021. Additionally, a comprehensive investigation into the correlation between weather conditions and the occurrence of MON in maize grown in Serbia was undertaken by reviewing the outcomes of research undertaken in the past decade.

Keywords: LC-MS/MS; annual variations; climate change; emerging mycotoxin; regional variations.

MeSH terms

  • Animals
  • Chromatography, Liquid / methods
  • Food Contamination / analysis
  • Mycotoxins* / analysis
  • Serbia
  • Tandem Mass Spectrometry / methods
  • Weather
  • Zea mays* / chemistry

Substances

  • moniliformin
  • Mycotoxins

Grants and funding

This paper is a result of the research funded by The Ministry of Science, Technological Development and Innovations of the Republic of Serbia (451-03-47/2023-01/200222).