Evidence map›Paper›PMID 42609451›Full record

ArticleFrontiers in nutrition2026

Comparative metabolomics of high-unsaturated fatty acid oils: exploring volatile and nonvolatile metabolite differences in olive, walnut, flaxseed, and camellia oils.

Bo Zhang, Zhanglian Chen, Kai Qin, Yongxing Yang, Li Xu, Zhengwu Zhang

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Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Bo ZhangLongnan Academy of Non-wood Forest, Longnan, China.
Zhanglian ChenKey Laboratory of Agricultural Product Processing and Quality Control of Specialty (Co-construction by Ministry and Province), School of Food Science and Technology, Shihezi University, Shihezi, Xinjiang, China.
Kai QinLongnan Academy of Non-wood Forest, Longnan, China.
Yongxing YangLongnan Academy of Non-wood Forest, Longnan, China.
Li XuLongnan Academy of Non-wood Forest, Longnan, China.
Zhengwu ZhangLongnan Academy of Non-wood Forest, Longnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Olive, walnut, flaxseed, and camellia oils are premium edible oils rich in unsaturated fatty acids, yet they exhibit distinct fatty acid profiles: olive and camellia oils are high in monounsaturated fatty acids, while walnut and flaxseed oils are abundant in polyunsaturated fatty acids. Despite their market value and nutritional importance, a systematic comparative metabolomic analysis covering both volatile and non‑volatile compounds under unified conditions has been lacking. Methods: We performed a comprehensive metabolomic comparison of the four oils using headspace solid‑phase microextraction/gas chromatography‑mass spectrometry (HS‑SPME/GC‑MS) for volatile compounds and ultra‑high‑performance liquid chromatography‑high‑resolution mass spectrometry (UHPLC‑HRMS) for non‑volatile metabolites. Multivariate statistical methods, including principal component analysis (PCA), partial least‑squares discriminant analysis (PLS‑DA), and relative odor activity value (ROAV) calculation, were applied to identify differential metabolites and characteristic biomarkers. Results: A total of 100 volatile and 1,186 non‑volatile metabolites were identified, covering alcohols, aldehydes, fatty acids, terpenes, phenolics, and others. PCA and heatmap analyses showed clear separation among the four oils. Common flavor markers included hexanal, ethanol, and ethyl hexanoate, while specific biomarkers such as hydroxytyrosol (olive oil), juglone (walnut oil), lignans (flaxseed oil), and camelliasaponin (camellia oil) were distinguished. ROAV analysis highlighted key flavor‑active volatiles, and differential metabolites were significantly correlated with flavor attributes, oxidative stability, and nutritional characteristics. Discussion: Our integrated volatile‑non‑volatile metabolomic approach provides a systematic foundation for comparing the compositional, flavor, and quality differences among high‑unsaturated fatty acid vegetable oils. The identified biomarkers and their correlations offer valuable tools for oil authentication, quality control, and functional product development, demonstrating the superiority of combined metabolomic profiling over single‑platform analyses.

Indexed as

camellia oilflavor profileflaxseed oilhigh-unsaturated fatty acid oilsmetabolomicsolive oilwalnut oil

Identifiers

PMID42609451
PMCPMC13478218

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.