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

IF 4.2 2区 化学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Boxue Chang, Jingyue Huang, Qingli Xie, Yinlan Ruan, Rukuan Liu
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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-1 and 1650 cm-1 contributing significantly. A unique peak at 1525 cm-1, observed in samples from Gongcheng, Guangxi, was associated with carotenoids and served as a potential marker for geographical traceability. MCR-ALS modeling revealed significant reductions in the 1650 cm-1 and 1525 cm-1 peaks when temperatures exceeded 150 °C, indicating degradation of unsaturated fatty acids and carotenoids. Under UV exposure, the 1525 cm-1 peak declined sharply and nearly disappeared after 24 h, suggesting rapid carotenoid degradation via photooxidation. Extended UV treatment also affected the 1650 cm-1 peak and led to oxidative product accumulation. Overall, this study demonstrates the feasibility of integrating Raman spectroscopy with chemometric analysis for efficient oil classification, traceability, and stability monitoring, offering a valuable tool for food quality control and market supervision.

基于拉曼光谱的茶油鉴别、地理溯源及热氧化和光降解研究
山茶油富含单不饱和脂肪酸、角鲨烯、生育酚和多酚,因其营养价值而备受重视。然而,其高市场价值和区域差异导致掺假频繁,突出需要快速,非破坏性的方法进行认证,地理可追溯性和质量评估。本研究采用便携式拉曼光谱结合偏最小二乘判别分析(PLS-DA)和多元曲线分辨率-交替最小二乘分析(MCR-ALS)对茶油与其他食用油进行鉴别,并评价其热稳定性和光氧化稳定性。PLS-DA基于vip选择的光谱变量,有效区分了茶油,其中1250 cm-1和1650 cm-1附近的拉曼波段贡献显著。在广西恭城的样品中观察到一个独特的峰,位于1525 cm-1,与类胡萝卜素有关,可作为地理可追溯性的潜在标记。MCR-ALS模型显示,当温度超过150°C时,1650 cm-1和1525 cm-1峰显著降低,表明不饱和脂肪酸和类胡萝卜素降解。在紫外线照射下,1525 cm-1峰急剧下降,24 h后几乎消失,表明类胡萝卜素通过光氧化快速降解。长时间的紫外处理也影响了1650 cm-1峰,导致氧化产物积累。综上所述,本研究证明了将拉曼光谱与化学计量分析相结合的可行性,可用于高效的油脂分类、可追溯性和稳定性监测,为食品质量控制和市场监管提供了有价值的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecules
Molecules 化学-有机化学
CiteScore
7.40
自引率
8.70%
发文量
7524
审稿时长
1.4 months
期刊介绍: Molecules (ISSN 1420-3049, CODEN: MOLEFW) is an open access journal of synthetic organic chemistry and natural product chemistry. All articles are peer-reviewed and published continously upon acceptance. Molecules is published by MDPI, Basel, Switzerland. Our aim is to encourage chemists to publish as much as possible their experimental detail, particularly synthetic procedures and characterization information. There is no restriction on the length of the experimental section. In addition, availability of compound samples is published and considered as important information. Authors are encouraged to register or deposit their chemical samples through the non-profit international organization Molecular Diversity Preservation International (MDPI). Molecules has been launched in 1996 to preserve and exploit molecular diversity of both, chemical information and chemical substances.
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