Untargeted metabolomics reveals higher contaminant occurrences in mixed-grains of dairy cow feedstuff during wet season of tropical climate zone
January 1, 2026·,,,,
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H.A. Dyahyuningtyas
F.S. Aurum
M.F. Karimy
Ema Damayanti
V.T. Rosyida
Dr. Nodali Ndraha
N. Fitrianto
T.H. Siregar
D. Dwiyitno
P. Pourazad
F. Penagos-Tabares
Siska Aditya
Abstract
To support milk production and quality, high-yielding dairy cows are normally fed using mixed-grains from nutritious sources. However, the contamination of those typical feeds often occurs along with the alteration of the season, including temperature and humidity changes. Therefore, the objective of this study was to compare natural biotoxin and other contaminants in mixed-grains of dairy cow’s foodstuff between wet and dry seasons of tropical climate zone using untargeted metabolomic approaches. A total of 40 samples of mixed-grains was divided into two groups; wet (WS; 20) and dry (DS; 20) seasons. Furthermore, data revealed that 321 compounds of mixed grain were identified, whereby 152 compounds showed significant difference between dry and wet seasons (P < 0.05). Data revealed the possible important compounds associated with feed/food safety issues, such as biotoxins and toxicants were more pronounced in mixed-grains during wet season. Higher biological compounds and biotoxins such as actinonin and embelin as well as allopumiliotoxin 267 A and aflatoxin were pointed under wet season (P < 0.05), respectively. Toxicants, like dodecylamine, caprolactam, crotetamide, azidamfenicol, and tridemorph showed significantly stronger in WS group compared to their counterparts (P < 0.05). Data suggests that a stronger alteration associated with potential toxin profiles of mixed-grains was noticeable in wet season compared to dry season, which could adversely affect on feed and food safety parameters. The wet season was found to pose a greater risk to feed-food safety compared to the dry season.
Type
Publication
Food and Humanity

Authors
Dr. Nodali Ndraha
(he/him)
Food Science Researcher
Welcome! I am a food safety researcher working at the intersection of wet-lab molecular microbiology and computational risk modeling. My work focuses on tracking and controlling foodborne pathogens—from investigating biofilm resistance and fermentation ecology to developing rapid diagnostic assays and Quantitative Microbial Risk Assessment (QMRA) models. I am passionate about open science, reproducible data workflows in R, and advancing global food safety standards.