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Non-targeted mass spectrometry and feature-based molecular networking for determination of branched fatty acid esters of hydroxy fatty acids in milk


Citation

Zhu, Shuang and He, Yuan and Lei, Jing-Nan and Gong, Jia-Jia and Tan, Chin Ping and Liu, Yuan-Fa and Xu, Yong-Jiang (2024) Non-targeted mass spectrometry and feature-based molecular networking for determination of branched fatty acid esters of hydroxy fatty acids in milk. Analytical and Bioanalytical Chemistry, 416 (18). pp. 4111-4122. ISSN 1618-2642; eISSN: 1618-2650

Abstract

Branched fatty acid esters of hydroxy fatty acids (FAHFAs) represent trace lipids with significant natural biological functions. While exogenous FAHFAs have been extensively studied, research on FAHFAs in milk remains limited, constraining our grasp of their nutritional roles. This study introduces a non-targeted mass spectrometry approach combined with chemical networking of spectral fragmentation patterns to uncover FAHFAs. Through meticulous sample handling and comparisons of various data acquisition and processing modes, we validate the method’s superiority, identifying twice as many FAHFAs compared to alternative techniques. This validated method was then applied to different milk samples, revealing 45 chemical signals associated with known and potential FAHFAs, alongside findings of 66 ceramide/hexosylceramide (Cer/HexCer), 48 phosphatidyl ethanolamine/lyso phosphatidyl ethanolamine (PE/LPE), 21 phosphatidylcholine/lysophosphatidylcholine (PC/LPC), 16 phosphatidylinositol (PI), 7 phosphatidylserine (PS), and 11 sphingomyelin (SM) compounds. This study expands our understanding of the FAHFA family in milk and provides a fast and convenient method for identifying FAHFAs.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Food Science and Technology
DOI Number: https://doi.org/10.1007/s00216-024-05335-4
Publisher: Springer Science and Business Media Deutschland GmbH
Keywords: Bioactive lipids; FAHFAs; FBMN; LC–MS/MS; Milk
Depositing User: Ms. Zaimah Saiful Yazan
Date Deposited: 09 Jul 2025 08:42
Last Modified: 09 Jul 2025 08:42
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s00216-024-05335-4
URI: http://psasir.upm.edu.my/id/eprint/117567
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