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Aroma and optical absorption spectroscopy for quality assessment of vegetable cooking oils

机译:香气和光吸收光谱法用于蔬菜食用油的质量评估

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Vegetable oils from different type of sources may have a distinctive aroma and flavour. This work explored the ability of combining PEN3 and UV-Vis Spectrophotometer for aroma and volatiles analysis. Nine types of vegetable oils were characterized and classified into three categories based on aroma and volatiles absorption characteristics which are fresh, heated and used cooking oil. The results of PCA analysis showed a good separation among three groups of vegetable cooking oil. Data set from both PEN3 (e-nose) and UV-Vis Spectroscopy was subjected to Linear Discriminant Analysis. Our results propose that discriminant analysis provides a rapid, efficient and accurate study for multi-class classification difficulties. LDA is capable to provide 100.0% correct classification of original grouped cases. However, only 85.4% of un-known grouped cases are correctly classified.
机译:来自不同类型来源的植物油可能具有独特的香气和风味。这项工作探索了结合使用PEN3和UV-Vis分光光度计进行香气和挥发物分析的能力。根据新鲜,加热和用过的食用油的香气和挥发物吸收特性,对9种类型的植物油进行了表征,并分为三类。 PCA分析的结果表明,三组蔬菜食用油之间具有良好的分离效果。将来自PEN3(电子鼻)和UV-Vis光谱学的数据集进行线性判别分析。我们的结果表明,判别分析为多类别分类困难提供了快速,有效和准确的研究。 LDA能够对原始分组的案例提供100.0%的正确分类。但是,只有85.4%的未知分组病例被正确分类。

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