Integrating mid-infrared spectroscopy, machine learning, and graphical bias correction for fatty acid prediction in water buffalo milk.

Journal: Journal of the science of food and agriculture
PMID: 38501395

Abstract

BACKGROUND: Buffalo milk, constituting 15% of global production, has higher fatty acids content than Holstein milk. Fourier-transform mid-infrared (FT-MIR) spectroscopy 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 spectroscopy 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.

Authors

  • Zhiqiu Yao
    International Joint Research Center for Animal Genetics, Breeding and Reproduction (IJRCAGBR), Huazhong Agricultural University, Wuhan, China.
  • Wenna Zou
    International Joint Research Center for Animal Genetics, Breeding and Reproduction (IJRCAGBR), Huazhong Agricultural University, Wuhan, China.
  • Xinxin Zhang
    School of Electrical Engineering, Yanshan University, Qinhuangdao 066001, China. Electronic address: zhangxinxin0723@163.com.
  • Pei Nie
    Department of Radiology, Affiliated Hospital of Qingdao University, Qingdao, China.
  • Haimiao Lv
    International Joint Research Center for Animal Genetics, Breeding and Reproduction (IJRCAGBR), Huazhong Agricultural University, Wuhan, China.
  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
  • Xuhong Zhao
    International Joint Research Center for Animal Genetics, Breeding and Reproduction (IJRCAGBR), Huazhong Agricultural University, Wuhan, China.
  • Ying Yang
    Department of Endocrinology, The Affiliated Hospital of Yunnan University, Kunming, China.
  • Liguo Yang
    International Joint Research Center for Animal Genetics, Breeding and Reproduction (IJRCAGBR), Huazhong Agricultural University, Wuhan, China.

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