Recently, the American Dairy Science Association (ADSA) held its ADSA 2025 Annual Meeting in Kentucky, USA. The research achievement titled "Fatty acid profiles of milk from Holstein cows, Jersey cows, buffalos, yaks, humans, goats, camels, and donkeys based on gas chromatography–mass spectrometry" by the Milk Research Team received the Journal of Dairy Science (JDS) Highly Cited Award at this conference.

This study established a high-throughput method for detecting fatty acids in animal milk based on GC-MS, capable of simultaneously detecting 69 types of fatty acids, significantly exceeding the existing international standard of 36 and the Chinese national standard of 37. This provides a technical means for comprehensively analyzing the microscopic composition of human milk, cow's milk, and other animal milks. Furthermore, the study established fatty acid fingerprint profiles for milk from Holstein cows, Jersey cows, buffalos, yaks, humans, goats, camels, and donkeys, providing data support for systematically researching the quality characteristics of distinctive types of milk.

A total of three research achievements received the Highly Cited Paper Award, and this paper is also an ESI Highly Cited Paper. Dr. Wang Feng'en is the first author of the paper, with Professor Wang Jiaqi and Professor Zhang Yangdong serving as co-corresponding authors.