Carry-Over of Aflatoxin B1 from Feed to Cow Milk-A Review

Toxins (Basel). 2023 Mar 4;15(3):195. doi: 10.3390/toxins15030195.

Abstract

The conversion of aflatoxin B1 in feed consumed by cows into aflatoxin M1 in their milk poses a challenge to food safety, with milk being a popular staple food and because of the harmful effects of these compounds. This study aimed at reviewing scientific information about the extent of carry-over of AFB1 from feed to milk. A range of studies reported about correlations of carry-over with different factors, particularly with milk yield and AFB1 intake. The extent of carry-over considerably varies, being 1-2% on average, which may be as high as 6% in the case of increased milk production. Specific factors influencing transfer rates, including milk yield, somatic cell counts, aflatoxin B1 intake, source of contamination, seasonal effects, particle size of feed, and the effects of certain interventions, namely vaccination and the use of adsorbents, are identified as the most important and are discussed in this review. The different mathematical formulas describing carry-over and instances of their application are reviewed as well. These carry-over equations may lead to largely different results, and no single carry-over equation can be suggested as the best one. While the exact quantification of carry-over is difficult as the process depends on many factors, including individual variabilities between animals, the intake of aflatoxin B1 and milk yield seem to be the most important factors influencing the excreted amount of aflatoxin M1 and the rate of carry-over.

Keywords: AFB1; AFM1; aflatoxin; carry-over; cow; milk.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aflatoxin B1* / analysis
  • Aflatoxin M1 / analysis
  • Animal Feed / analysis
  • Animals
  • Cattle
  • Female
  • Food Contamination / analysis
  • Milk* / chemistry

Substances

  • Aflatoxin B1
  • Aflatoxin M1

Grants and funding

Project no. RRF-2.3.1-21-2022-00001 has been implemented with the support provided by the Recovery and Resilience Facility (RRF), financed under the National Recovery Fund budget estimate, RRF-2.3.1-21 funding scheme. This research was also supported by “Project no. 2018-1.2.1-NKP-2018-00002 which has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the 2018-1.2.1-NKP funding scheme.