基于拉曼光谱-聚类分析快速鉴别掺伪油茶籽油

在532 nm激光光源的扩展拉曼光谱及一阶导数光谱中,油茶籽油与低价植物油及精炼地沟油光谱形态的差异显著,谱峰得到有效分离。基于全波段光谱信息和形态建立的多步聚类分析模型既可准确鉴定油茶籽油,还可准确鉴定各种类型的掺伪油茶籽油。对26份不同油茶籽油、105份不同低价植物油、75份5%及以上的掺杂油茶籽油和38份不同精炼地沟油的判别正确率均为100%,对5%及以上的180份掺假油茶籽油和72份掺杂植物油的判别正确率达92%以上。样品测量时无需制备样品及消耗化学试剂,测量和分析1份样品仅耗时5 min左右,可实现对掺伪油茶籽油的快速、无损和准确鉴别。

Rapid detection of adulterated oil-tea camellia seed oil by Raman spectrum-cluster analysis

Under the excitation of 532 nm laser, the extended and first-derivative Raman spectrum showed the largest spectral information and significantly different patterns among oil-tea camellia seed oil, low-price vegetable oil and bio-waste oil. The cluster analysis model established on full-range spectrum would identify oil-tea camellia seed oil as well as kinds of adulterated oil-tea camellia seed oil. The discriminant rate was 100% for 26 oil-tea camellia seed oils, 105 low-price vegetable oils and 38 refined bio-waste oils. The discriminant rates were 92%, 100% and 92% respectively, for 180 oil-tea camellia seed oils mixed with at least 5% low-price vegetable oil, 75 oil-tea camellia seed oils mixed with at least 5% bio-waste oil, and 72 vegetable oils mixed with at least 5% bio-waste oil. The measurement process required no sample preparation or chemical reagent consumption, and the time cost was 5 min for each sample, therefore the detection for adulterated oil-tea camellia seed oil was rapid, non-destructive and accurate.