用于植物油质量评价的香气和光学吸收光谱法

F. A. Rashid, H. Maamor, N. Yusuf, N. Z. I. Zakaria, S. Ismail, K. Adnan, A. Zakaria, L. Kamarudin, A. Shakaff
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引用次数: 3

摘要

不同来源的植物油可能有不同的香气和风味。本工作探讨了PEN3与紫外可见分光光度计相结合用于香气和挥发物分析的能力。对9种植物油的香气和挥发物吸收特性进行了表征,并将其分为鲜油、加热油和废油3类。主成分分析结果表明,三组植物油具有较好的分离性。PEN3(电子鼻)和UV-Vis光谱数据集进行线性判别分析。我们的研究结果表明,判别分析为多类分类难题提供了快速、高效和准确的研究。LDA能够对原始分组病例提供100.0%的正确分类。然而,只有85.4%的未知分组病例被正确分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aroma and optical absorption spectroscopy for quality assessment of vegetable cooking oils
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.
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