Occurrence of Mineral Oil Hydrocarbons in Feed and Milk: Implications for Sustainable Dairy Production

Mineral oil hydrocarbons (MOH) are increasingly reported in agri-food systems, but their presence in dairy production is not yet fully characterized. This study investigated the occurrence of mineral oil saturated hydrocarbons (MOSH) and mineral oil aromatic hydrocarbons (MOAH) in feed and milk collected from three dairy farms with different production conditions, with the aim of supporting a system-wide interpretation of contaminant presence. Samples were analyzed using confirmed chromatographic methods, and the results were descriptively evaluated to express variability both within and between farms. Both feed and milk samples showed heterogeneous contamination patterns, highlighting the influence of environmental exposure, technological activities and biological variations, rather than a direct linear transfer. To help the interpretation, a conceptual framework linking environment, feed, animals and milk was proposed. From a sustainability point of view, the results highlight the importance of preventive monitoring and farm-level management strategies to reduce contaminant pressure in dairy production. Overall, the study furnishes empirical evidence that contributes to a broader understanding of contaminant occurrence and supports integrated approaches for food safety and sustainable dairy production.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2026-03-16
DOI
https://doi.org/10.3390/su18062889
Primary Topic
Toxic Organic Pollutants Impact
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Occurrence of Mineral Oil Hydrocarbons in Feed and Milk: Implications for Sustainable Dairy Production

Mădălina Matei, I. M. Pop, Elena-Iuliana Flocea
Sustainability
Toxic Organic Pollutants Impact
article

Occurrence of Mineral Oil Hydrocarbons in Feed and Milk: Implications for Sustainable Dairy Production

Mădălina Matei, I. M. Pop, Elena-Iuliana Flocea
article en

Abstract

Mineral oil hydrocarbons (MOH) are increasingly reported in agri-food systems, but their presence in dairy production is not yet fully characterized. This study investigated the occurrence of mineral oil saturated hydrocarbons (MOSH) and mineral oil aromatic hydrocarbons (MOAH) in feed and milk collected from three dairy farms with different production conditions, with the aim of supporting a system-wide interpretation of contaminant presence. Samples were analyzed using confirmed chromatographic methods, and the results were descriptively evaluated to express variability both within and between farms. Both feed and milk samples showed heterogeneous contamination patterns, highlighting the influence of environmental exposure, technological activities and biological variations, rather than a direct linear transfer. To help the interpretation, a conceptual framework linking environment, feed, animals and milk was proposed. From a sustainability point of view, the results highlight the importance of preventive monitoring and farm-level management strategies to reduce contaminant pressure in dairy production. Overall, the study furnishes empirical evidence that contributes to a broader understanding of contaminant occurrence and supports integrated approaches for food safety and sustainable dairy production.

SustainabilityVol. 18(6)
"Ion Ionescu de la Brad" Iasi University of Life Sciences (RO)
Università degli Studi di Udine
Responsible consumption and production
Openalex Percentile: Top 23%
Toxic Organic Pollutants Impact
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.