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用于检测水牛奶中亚油酸的傅里叶变换红外光谱(FT-MIR)方法的建立与验证

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

作者信息

Yao Zhiqiu, Nie Pei, Zhang Xinxin, Chen Chao, An Zhigao, Wei Ke, Zhao Junwei, Lv Haimiao, Niu Kaifeng, Yang Ying, Zou Wenna, Yang Liguo

机构信息

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.

Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.

出版信息

Foods. 2023 Mar 12;12(6):1199. doi: 10.3390/foods12061199.

DOI:10.3390/foods12061199
PMID:36981127
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10048274/
Abstract

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 validity of the FT-MIR methods was evaluated in accordance with ICH Q2 (R1) guidelines using the accuracy profile method, and the precision, the accuracy, and the limit of quantification were determined. The results showed that Fourier transform infrared spectroscopy is a suitable technique for the analysis of linoleic acid, with a lower limit of quantification of 0.15 mg/mL milk. Our results showed that FT-MIR spectroscopy is a viable method for LA concentration analysis.

摘要

水牛奶是一种乳制品,与牛奶相比,其营养价值更高。亚油酸(LA)是一种对人体健康很重要的必需脂肪酸。本研究旨在探究和验证傅里叶变换中红外光谱法(FT-MIR)用于定量水牛奶中亚油酸的可行性。使用三种机器学习模型预测亚油酸含量,并采用随机森林算法选择最重要的光谱子集以提高模型性能。根据国际协调会议(ICH)Q2(R1)指南,采用准确度概况法评估FT-MIR方法的有效性,并测定其精密度、准确度和定量限。结果表明,傅里叶变换红外光谱法是分析亚油酸的合适技术,牛奶中亚油酸的定量下限为0.15 mg/mL。我们的结果表明,FT-MIR光谱法是分析亚油酸浓度的可行方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e8a/10048274/819913d9f927/foods-12-01199-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e8a/10048274/41305522bf44/foods-12-01199-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e8a/10048274/62582f813f78/foods-12-01199-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e8a/10048274/819913d9f927/foods-12-01199-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e8a/10048274/41305522bf44/foods-12-01199-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e8a/10048274/62582f813f78/foods-12-01199-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e8a/10048274/819913d9f927/foods-12-01199-g003.jpg

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