Extra virgin olive oil (EVOO) is both edible oil and health care product. Adulteration in high quality vegetable oil is a ubiquitous fraud, especially in the market of EVOO. Spectroscopy is an effective means to realize the rapid detection of adulteration in EVOO, but the accuracy of quantitative analysis is the short board of spectral detection. Traditional Raman spectroscopy is used to detect the adulteration of EVOO by analyzing the content of monounsaturated fatty acids. However, high oleic acid content is not unique to EVOO. Confocal Raman and Fluorescence Spectroscopy (CRFS) was employed to characterize EVOO along with potential adulterant oils based on their Oleic acid and photosensitive substances content. Statistical analysis of these Oleic acid and photosensitive substances using Multiple Linear Regression (MLR) allowed for a rapid approach to determine EVOO authenticity. The quantitative analysis model of adulteration in EVOO was established using this approach, and the RMSE was 0.0068, and the R-Squared of external Prediction was 0.9996. In addition, Fluorescence quenching which interfered with the quantitative analysis of chlorophyll was found in the adulteration experiment of EVOO. Compared to traditional Raman methods, CRFS with MLR involves minimal sample preparation combined with fast analysis.

特级初榨橄榄油（EVOO）既是食用油又是保健产品。高品质植物油中的掺假现象无处不在，特别是在EVOO市场上。光谱法是实现EVOO中掺假快速检测的有效手段，但定量分析的准确性是光谱检测的短板。传统的拉曼光谱法通过分析单不饱和脂肪酸的含量来检测EVOO的掺杂。但是，高油酸含量并不是EVOO独有的。共焦拉曼和荧光光谱法（CRFS）用于表征EVOO以及潜在的掺假油，基于它们的油酸和光敏物质含量。使用多元线性回归（MLR）对这些油酸和光敏物质进行统计分析，可以快速确定EVOO的真实性。采用这种方法建立了EVOO中掺假的定量分析模型，RMSE为0.0068，外部预测的R-Squared为0.9996。另外，在EVOO的掺假实验中发现了荧光猝灭，干扰了叶绿素的定量分析。与传统的拉曼方法相比，具有MLR的CRFS只需最少的样品制备和快速分析即可。在EVOO的掺假实验中发现了荧光猝灭，干扰了叶绿素的定量分析。与传统的拉曼方法相比，具有MLR的CRFS只需最少的样品制备和快速分析即可。在EVOO的掺假实验中发现了荧光猝灭，干扰了叶绿素的定量分析。与传统的拉曼方法相比，具有MLR的CRFS只需最少的样品制备和快速分析即可。