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

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)...

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Autores principales: Yao, Zhiqiu, Nie, Pei, Zhang, Xinxin, Chen, Chao, An, Zhigao, Wei, Ke, Zhao, Junwei, Lv, Haimiao, Niu, Kaifeng, Yang, Ying, Zou, Wenna, Yang, Liguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048274/
https://www.ncbi.nlm.nih.gov/pubmed/36981127
http://dx.doi.org/10.3390/foods12061199
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author Yao, Zhiqiu
Nie, Pei
Zhang, Xinxin
Chen, Chao
An, Zhigao
Wei, Ke
Zhao, Junwei
Lv, Haimiao
Niu, Kaifeng
Yang, Ying
Zou, Wenna
Yang, Liguo
author_facet Yao, Zhiqiu
Nie, Pei
Zhang, Xinxin
Chen, Chao
An, Zhigao
Wei, Ke
Zhao, Junwei
Lv, Haimiao
Niu, Kaifeng
Yang, Ying
Zou, Wenna
Yang, Liguo
author_sort Yao, Zhiqiu
collection PubMed
description 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.
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spelling pubmed-100482742023-03-29 Establishment and Validation of Fourier Transform Infrared Spectroscopy (FT–MIR) Methodology for the Detection of Linoleic Acid in Buffalo Milk Yao, Zhiqiu Nie, Pei Zhang, Xinxin Chen, Chao An, Zhigao Wei, Ke Zhao, Junwei Lv, Haimiao Niu, Kaifeng Yang, Ying Zou, Wenna Yang, Liguo Foods Article 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. MDPI 2023-03-12 /pmc/articles/PMC10048274/ /pubmed/36981127 http://dx.doi.org/10.3390/foods12061199 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yao, Zhiqiu
Nie, Pei
Zhang, Xinxin
Chen, Chao
An, Zhigao
Wei, Ke
Zhao, Junwei
Lv, Haimiao
Niu, Kaifeng
Yang, Ying
Zou, Wenna
Yang, Liguo
Establishment and Validation of Fourier Transform Infrared Spectroscopy (FT–MIR) Methodology for the Detection of Linoleic Acid in Buffalo Milk
title Establishment and Validation of Fourier Transform Infrared Spectroscopy (FT–MIR) Methodology for the Detection of Linoleic Acid in Buffalo Milk
title_full Establishment and Validation of Fourier Transform Infrared Spectroscopy (FT–MIR) Methodology for the Detection of Linoleic Acid in Buffalo Milk
title_fullStr Establishment and Validation of Fourier Transform Infrared Spectroscopy (FT–MIR) Methodology for the Detection of Linoleic Acid in Buffalo Milk
title_full_unstemmed Establishment and Validation of Fourier Transform Infrared Spectroscopy (FT–MIR) Methodology for the Detection of Linoleic Acid in Buffalo Milk
title_short Establishment and Validation of Fourier Transform Infrared Spectroscopy (FT–MIR) Methodology for the Detection of Linoleic Acid in Buffalo Milk
title_sort establishment and validation of fourier transform infrared spectroscopy (ft–mir) methodology for the detection of linoleic acid in buffalo milk
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048274/
https://www.ncbi.nlm.nih.gov/pubmed/36981127
http://dx.doi.org/10.3390/foods12061199
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