Zhiqiu Yao, Wenna Zou, Xinxin Zhang, Pei Nie, Haimiao Lv, Wei Wang, Xuhong Zhao, Ying Yang, Liguo Yang
BACKGROUND: Buffalo milk, constituting 15% of global production, has higher fatty acids content than Holstein milk.Fourier transform mid-infrared spectroscopy (FT-MIR) is widely used for dairy analysis, but its application to buffalo milk, with larger fat globules, remains understudied. The ultimate goal of this study is to develop machine learning models based on FT-MIR for predicting fatty acids in buffalo milk and to assess the accuracy of commercial milk analyzers. This research provides a convenient, fast, and environmentally friendly method for detecting the fatty acid composition in buffalo milk...
March 19, 2024: Journal of the Science of Food and Agriculture