激光诱导荧光初榨橄榄油掺杂定量分析

Quantification of Adulterated Extra Virgin Olive Oil Using Laser Induced Fluorescence

利用激光诱导荧光技术开展了初榨橄榄油掺杂定量分析的研究。利用波长为450nm的激光激发不同掺杂浓度的掺杂橄榄油样品产生荧光并进行荧光光谱采集。将采集到的光谱利用线性判别法(linear discriminant analysis,LDA)结合k-近邻方法(k-Nearest Neighbor,kNN)建立掺杂橄榄油掺杂浓度预测的模型。通过交叉验证,该模型预测的橄榄油掺杂浓度的均方根误差为3.74%。按照掺杂浓度的不同将样品分为4组进行分类识别,分类正确率达88%。结果表明,利用激光诱导荧光原理结合LDA-kNN能够实现掺杂橄榄油掺杂浓度的定量分析,该方法可以用于掺杂橄榄油快速初筛。

In this paper,laser induced fluorescence(LIF)technology is used to study the issue of quantification of adulterated extra virgin olive oil(EVOO).A 450 nm laser is used to induce fluorescence of samples with different adulteration concentrations.Linear discriminant analysis(LDA)coupled with k-Nearest Neighbor(kNN)methods are used to predict the adulteration level of adulterated EVOOs.Besides,the samples are divided into 4 groups according to adulteration levels for classification.Through cross-validation,the root mean square error of the predicted adulteration level is 3.74% with a classification rate of88%.The results show that LIF combined with LDA-kNN have potential for rapid screening of adulterated EVOOs.