Establishment and Validation of Fourier Transform Infrared Spectroscopy (FT–MIR) Methodology for the Detection of Linoleic Acid in Buffalo Milk

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成果类型：

期刊论文

作者：

Yao, Zhiqiu;Nie, Pei;Zhang, Xinxin;Chen, Chao;An, Zhigao;...

通讯作者：

Liguo Yang

作者机构：

[Yao, Zhiqiu; Zou, Wenna; Lv, Haimiao; Niu, Kaifeng; Yang, Ying; Chen, Chao; Nie, Pei; Wei, Ke; Zhang, Xinxin; Zhao, Junwei; Yang, Liguo; An, Zhigao] Huazhong Agr Univ, Natl Ctr Int Res Anim Genet Breeding & Reprod NCIR, Minist Sci & Technol Peoples Republ China, Wuhan 430070, Peoples R China.

[Yao, Zhiqiu; Zou, Wenna; Lv, Haimiao; Niu, Kaifeng; Yang, Ying; Chen, Chao; Wei, Ke; Zhang, Xinxin; Zhao, Junwei; Yang, Liguo; An, Zhigao] Huazhong Agr Univ, Coll Anim Sci & Technol, Key Lab Anim Genet Breeding & Reprod, Minist Educ, Wuhan 430070, Peoples R China.

[Nie, Pei] Hunan Agr Univ, Coll Vet Med, Changsha 410128, Peoples R China.

通讯机构：

[Liguo Yang] N

National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Ministry of Science and Technology of the People’s Republic of China, Huazhong Agricultural University, Wuhan 430070, China<&wdkj&>Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China<&wdkj&>Author to whom correspondence should be addressed.

语种：

英文

关键词：

FT-MIR;linoleic acid;machine learning;accuracy profile

期刊：

Foods

ISSN：

2304-8158

年：

2023

卷：

期：

页码：

1199-

DOI：

10.3390/foods12061199

基金类别：

Z.Y. conceived and designed the experiment data curation. X.Z. and P.N. wrote the manuscript. Z.A., C.C. and K.W. contributed animals’ arrangement and sample collection. J.Z., H.L. and K.N. were responsible for software and visualization. Y.Y. and W.Z. revised the manuscript. L.Y. provided project and funding acquisition. All authors have read and agreed to the published version of the manuscript. This work was supported by the National Natural Science Foundation of China (No. 32172731) and the National Key R&D Program of China (No. 2022YFD1301001).

机构署名：

本校为其他机构

院系归属：

动物医学院

摘要：

Buffalo milk is a dairy product that is considered to have a higher nutritional value compared to cow’s milk. Linoleic acid (LA) is an essential fatty acid that is important for human health. This study aimed to investigate and validate the use of Fourier transform mid-infrared spectroscopy (FT-MIR) for the quantification of the linoleic acid in buffalo milk. Three machine learning models were used to predict linoleic acid content, and random forest was employed to select the most important subset of spectra for improved model performance. The...

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Establishment and Validation of Fourier Transform Infrared Spectroscopy (FT–MIR) Methodology for the Detection of Linoleic Acid in Buffalo Milk

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