Comparison of lipid profiles and nutritional quality of 11 red-flowered oil-tea camellia through quantitative lipidomics and chemometrics

The aim of this study was to characterize the lipid profiles of 11 red-flowered oil-tea camellia (ROCs) using UPLC-MS/MS-based lipidomics. 618 lipids were identified, with TGs, PCs, PEs, PIs, DGs, and FFAs as the predominant lipid subclasses. TC1 exhibited the highest content of total lipids and GLs, followed by TC4 and DBXN. GPs were significantly elevated in TC1, TC2, TC3, and TS, whereas CC had the highest content of FFAs. CC, TS, DBXN, and TC lines exhibited unique lipid profiles suitable for functional product development. HCA and OPLS-DA demonstrated significant lipids variations among 11 ROCs, with 3 distinct clusters: CC-DBXN-XN, TC lines, and ZJ-GN-TS. Glycerophospholipid metabolism and glycerolipid metabolism were identified as key metabolic pathways, with LPC(18:2), PA(18:2_18:2), PA(16:0_18:2), PC(18:3_18:3), and TG(18:1_18:2_18:4) serving as characteristic differential lipids across 11 ROCs. Our findings provided insights into quantitative differential lipids as potential biomarkers for directional breeding and functional product development across ROCs.

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Publication Details

Journal
Food Chemistry X
Published
2025-07-01
DOI
https://doi.org/10.1016/j.fochx.2025.102738
Citations
1
Primary Topic
Tea Polyphenols and Effects
Type
article
Field-Weighted Citation Impact
1.47
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article

Comparison of lipid profiles and nutritional quality of 11 red-flowered oil-tea camellia through quantitative lipidomics and chemometrics

Guodong Wang, Zhubing Hu, Xinye Zhang, Qingjuan Tang et al.
1 citations
Food Chemistry X
Tea Polyphenols and Effects
1.47
article

Comparison of lipid profiles and nutritional quality of 11 red-flowered oil-tea camellia through quantitative lipidomics and chemometrics

Guodong Wang, Zhubing Hu, Xinye Zhang, Qingjuan Tang, Tao Zheng, Jianmei Yang, Zhuang Deng, Haitao Zeng, Chunyao Dun
article en
1 citations

Abstract

The aim of this study was to characterize the lipid profiles of 11 red-flowered oil-tea camellia (ROCs) using UPLC-MS/MS-based lipidomics. 618 lipids were identified, with TGs, PCs, PEs, PIs, DGs, and FFAs as the predominant lipid subclasses. TC1 exhibited the highest content of total lipids and GLs, followed by TC4 and DBXN. GPs were significantly elevated in TC1, TC2, TC3, and TS, whereas CC had the highest content of FFAs. CC, TS, DBXN, and TC lines exhibited unique lipid profiles suitable for functional product development. HCA and OPLS-DA demonstrated significant lipids variations among 11 ROCs, with 3 distinct clusters: CC-DBXN-XN, TC lines, and ZJ-GN-TS. Glycerophospholipid metabolism and glycerolipid metabolism were identified as key metabolic pathways, with LPC(18:2), PA(18:2_18:2), PA(16:0_18:2), PC(18:3_18:3), and TG(18:1_18:2_18:4) serving as characteristic differential lipids across 11 ROCs. Our findings provided insights into quantitative differential lipids as potential biomarkers for directional breeding and functional product development across ROCs.

Food Chemistry XVol. 29
Henan University (CN), Shaanxi University of Technology (CN), Hubei Academy of Forestry (CN), Ministry of Education (TW), Shaanxi Normal University (CN)
Zero hunger
Openalex Percentile: Top 18%
Tea Polyphenols and Effects
1.47
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