Lipid profile migration during the tilapia muscle steaming process revealed by a transactional analysis between MS data and lipidomics data

Abstract In this work, lipid profile migration from muscle to juice during the tilapia muscle steaming process was revealed by a transactional analysis of data from ultra-high-performance liquid chromatography coupled with Q Exactive (UHPLC-QE) Orbitrap mass spectrometry (MS) and lipidomics. Firstly...

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Autores principales: Rui Sun, Tingting Wu, Hao Guo, Jiamin Xu, Jiahui Chen, Ningping Tao, Xichang Wang, Jian Zhong
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:35e714a000704be2af3fd7c2c63470b52021-11-21T12:40:10ZLipid profile migration during the tilapia muscle steaming process revealed by a transactional analysis between MS data and lipidomics data10.1038/s41538-021-00115-12396-8370https://doaj.org/article/35e714a000704be2af3fd7c2c63470b52021-11-01T00:00:00Zhttps://doi.org/10.1038/s41538-021-00115-1https://doaj.org/toc/2396-8370Abstract In this work, lipid profile migration from muscle to juice during the tilapia muscle steaming process was revealed by a transactional analysis of data from ultra-high-performance liquid chromatography coupled with Q Exactive (UHPLC-QE) Orbitrap mass spectrometry (MS) and lipidomics. Firstly, the lipids in tilapia muscles and juices at different steaming time points were extracted and examined by UHPLC-QE Orbitrap mass spectrometry. Secondly, a transactional analysis procedure was developed to analyze the data from UHPLC-QE Orbitrap MS and lipidomics. Finally, the corrected lipidomics data and the normalized MS data were used for lipid migration analysis. The results suggested that the transactional analysis procedure was efficient to significantly decrease UHPLC-QE Orbitrap MS workloads and delete the false-positive data (22.4–36.7%) in lipidomics data, which compensated the disadvantages of the current lipidomics method. The lipid changes could be disappearance, full migration into juice, appearance in juice, appearance in muscle, appearance in both muscle and juice, and retention in the muscle. Moreover, the results showed 9 (compared with 52), 5 (compared with 116), and 10 (compared with 178) of lipid class (compared with individual lipid) variables showed significant differences among the different steaming times (0, 10, 30, and 60 min) in all the muscles, juices, and muscle-juice systems, respectively. These results showed significant lipid profile migration from muscle to juice during the tilapia steaming process.Rui SunTingting WuHao GuoJiamin XuJiahui ChenNingping TaoXichang WangJian ZhongNature PortfolioarticleNutrition. Foods and food supplyTX341-641Food processing and manufactureTP368-456ENnpj Science of Food, Vol 5, Iss 1, Pp 1-14 (2021)
institution DOAJ
collection DOAJ
language EN
topic Nutrition. Foods and food supply
TX341-641
Food processing and manufacture
TP368-456
spellingShingle Nutrition. Foods and food supply
TX341-641
Food processing and manufacture
TP368-456
Rui Sun
Tingting Wu
Hao Guo
Jiamin Xu
Jiahui Chen
Ningping Tao
Xichang Wang
Jian Zhong
Lipid profile migration during the tilapia muscle steaming process revealed by a transactional analysis between MS data and lipidomics data
description Abstract In this work, lipid profile migration from muscle to juice during the tilapia muscle steaming process was revealed by a transactional analysis of data from ultra-high-performance liquid chromatography coupled with Q Exactive (UHPLC-QE) Orbitrap mass spectrometry (MS) and lipidomics. Firstly, the lipids in tilapia muscles and juices at different steaming time points were extracted and examined by UHPLC-QE Orbitrap mass spectrometry. Secondly, a transactional analysis procedure was developed to analyze the data from UHPLC-QE Orbitrap MS and lipidomics. Finally, the corrected lipidomics data and the normalized MS data were used for lipid migration analysis. The results suggested that the transactional analysis procedure was efficient to significantly decrease UHPLC-QE Orbitrap MS workloads and delete the false-positive data (22.4–36.7%) in lipidomics data, which compensated the disadvantages of the current lipidomics method. The lipid changes could be disappearance, full migration into juice, appearance in juice, appearance in muscle, appearance in both muscle and juice, and retention in the muscle. Moreover, the results showed 9 (compared with 52), 5 (compared with 116), and 10 (compared with 178) of lipid class (compared with individual lipid) variables showed significant differences among the different steaming times (0, 10, 30, and 60 min) in all the muscles, juices, and muscle-juice systems, respectively. These results showed significant lipid profile migration from muscle to juice during the tilapia steaming process.
format article
author Rui Sun
Tingting Wu
Hao Guo
Jiamin Xu
Jiahui Chen
Ningping Tao
Xichang Wang
Jian Zhong
author_facet Rui Sun
Tingting Wu
Hao Guo
Jiamin Xu
Jiahui Chen
Ningping Tao
Xichang Wang
Jian Zhong
author_sort Rui Sun
title Lipid profile migration during the tilapia muscle steaming process revealed by a transactional analysis between MS data and lipidomics data
title_short Lipid profile migration during the tilapia muscle steaming process revealed by a transactional analysis between MS data and lipidomics data
title_full Lipid profile migration during the tilapia muscle steaming process revealed by a transactional analysis between MS data and lipidomics data
title_fullStr Lipid profile migration during the tilapia muscle steaming process revealed by a transactional analysis between MS data and lipidomics data
title_full_unstemmed Lipid profile migration during the tilapia muscle steaming process revealed by a transactional analysis between MS data and lipidomics data
title_sort lipid profile migration during the tilapia muscle steaming process revealed by a transactional analysis between ms data and lipidomics data
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/35e714a000704be2af3fd7c2c63470b5
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