Identification, Geographical Traceability, and Thermal Oxidation and Photodegradation Studies of Camellia Oil Based on Raman Spectroscopy.

Boxue Chang, Jingyue Huang, Qingli Xie, Yinlan Ruan, Rukuan Liu

Abstract read

In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

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1 · What the graph read from it

What it found

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1 citing paper in PubMed.

Advancing quality evaluation and origin tracing of HainanFood chemistry: X · 2026
Article

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5 · Who and what money

Authors and funding

5 authors.

Boxue ChangSchool of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China.

Jingyue HuangSchool of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China.

Qingli XieSchool of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.

Yinlan RuanSchool of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.

Rukuan LiuState Key Laboratory of Utilization of Woody Oil Resource, Hunan Academy of Forestry, Changsha 410004, China.

Funding

Guangxi Science and Technology Program Project No. AD25069073the Middle-aged and Young Teachers' Basic Ability Promotion Project of Guangxi，The Guilin University of Aerospace Technology School Fund 2024KY0802, 2023KY0217,XJ21KT29

6 · The paper itself

Abstract

Camellia oil, rich in monounsaturated fatty acids, squalene, tocopherols, and polyphenols, is highly valued for its nutritional benefits. However, its high market value and regional variations have led to frequent adulteration, highlighting the need for rapid, non-destructive methods for authentication, geographical traceability, and quality assessment. This study employed portable Raman spectroscopy combined with Partial Least Squares Discriminant Analysis (PLS-DA) and Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) to differentiate camellia oil from other edible oils and evaluate its thermal and photo-oxidative stability. PLS-DA, based on VIP-selected spectral variables, effectively distinguished camellia oil, with Raman bands near 1250 cm

Indexed as

CamelliaPlant OilsSpectrum Analysis, RamanCarotenoidsDiscriminant AnalysisLeast-Squares AnalysisOxidation-ReductionPhotolysisTemperatureCarotenoidsPlant Oilscamellia oilgeographical traceabilityMultivariate Curve Resolution-Alternating Least Squares (MCR-ALS)Partial Least Squares Discriminant Analysis (PLS-DA)photodegradationRaman spectroscopythermal oxidation

Identifiers

PMID40509360

DOI10.3390/molecules30112473

PMCPMC12157809

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