Summary of Study ST002902

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001806. The data can be accessed directly via it's Project DOI: 10.21228/M88F0V This work is supported by NIH grant, U2C- DK119886.

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This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST002902
Study TitleQuantitative analysis of fatty acid compositions of retail cow’s milk and milk alternatives in Thailand using GC-MS
Study SummaryAll 36 brands of commercial milk samples available in retail stores in Thailand were collected in July 2019. They included 17 brands of whole cow’s milk, 6 brands of lactose-free cow’s milk, 9 brands of soymilk, and 4 brands of almond milk. Of all the cow’s milk samples, there were 6, 2, and 9 ultra-high temperature processing (UHT), sterilized, pasteurized milk samples, respectively. Quantification of fatty acids was performed using GC-MS.
Institute
Mahidol University
DepartmentSiriraj Metabolomics and Phenomics Center
LaboratorySiriraj Center of Research Excellence in Metabolomics and Systems Biology
Last NameKhoomrung
First NameSakda
Address2 Wanglang Road, Bangkok, Bangkok, 10700, Thailand
Emailsakda.kho@mahidol.edu
Phone024195511
Submit Date2023-09-25
Num Groups5
Total Subjects118
Publicationshttps://doi.org/10.1016/j.jfca.2020.103785
Raw Data AvailableYes
Raw Data File Type(s)mzML
Analysis Type DetailGC-MS
Release Date2023-10-27
Release Version1
Sakda Khoomrung Sakda Khoomrung
https://dx.doi.org/10.21228/M88F0V
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR001806
Project DOI:doi: 10.21228/M88F0V
Project Title:Quantitative analysis of nutrient metabolite compositions of retail cow’s milk and milk alternatives in Thailand using GC-MS
Project Type:MS quantitative analysis
Project Summary:To provide comprehensive metabolite profiles and their concentrations, this study characterized retail cow’s milk and plant-based milk (soymilk and almond milk) for amino acids (AA), fatty acids (FA), and sugars. The cow’s milk samples included conventional milk with different heating processes and lactose-free cow’s milk. Multivariate analysis was applied to identify pattern associated with different types of milk. Principal component analysis (PCA) indicated that the plant-based milk alternatives were markedly different from cow’s milk samples. This was attributed mainly to FA, particularly C18:2n-6 and C18:1 (cis-9) which were highest in soymilk and almond milk, respectively. Unlike the cow’s milk samples, the plant-based milk samples exhibited greater brand-to-brand variation in metabolite concentrations. The mean concentration of total AA in soymilk samples was comparable to that in cow’s milk samples, but the cow’s milk samples were 1.4–6.3 times more enriched in branched-chain AA. There was no significant difference in AA and FA concentrations between conventional and lactose-free cow’s milk. Heating processes of cow’s milk did not result in distinct metabolite patterns. This study further showed that FA profiling could be applied to evaluating soymilk adulteration with 1 %–2 % cow’s milk.
Institute:Mahidol University
Department:Siriraj Metabolomics and Phenomics Center
Laboratory:Siriraj Center of Research Excellence in Metabolomics and Systems Biology
Last Name:Khoomrung
First Name:Sakda
Address:2 Wanglang Road, Bangkok, Bangkok, 10700, Thailand
Email:sakda.kho@mahidol.edu
Phone:024195511
Publications:https://doi.org/10.1016/j.jfca.2020.103785
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