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Probing temperature able to improve Raman spectroscopic discrimination of adulterated olive oils

机译:探测温度能够改善掺孔橄榄油的拉曼光谱鉴别

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摘要

An effective method for improving Raman spectroscopic identification of adulterated extra virgin olive oil (EVOO) was proposed. It was based on probing an optimal sample temperature where the spectral differentiation among components was enhanced, since temperature-induced spectral variations of individual components expected to be diversely different depends on their molecular structures. Initially, oleic and linoleic acids were separately frozen, and Raman spectra were consecutively collected at regular intervals as the temperature increased. The spectral variations of oleic and linoleic acids were dissimilar with each other due the difference in their molecular structures. In the temperature-varied spectra of pure EVOOs and adulterated EVOOs, both the magnitudes and patterns of the spectral differences between the two groups differed, and the measurement at -36.4 degrees C resulted in the lowest discrimination error of 8.0% based on linear discriminant analysis using principal component scores. The spectral features of the two groups became more discernible at this temperature due to the dissimilar temperature-dependent molecular vibrations of the components, which improved the authentication accuracy. (C) 2017 Elsevier B.V. All rights reserved.
机译:提出了一种改善掺假特级初榨橄榄油(EVOO)的拉曼光谱鉴定的有效方法。它基于探测最佳的样本温度,其中增强组分之间的光谱分子,因为预期的各个组分的温度诱导的谱变化取决于它们的分子结构。最初,随着温度升高,初始冷冻油酸和亚油酸单独冷冻,并以规则的间隔连续收集拉曼光谱。由于其分子结构的差异,油酸和亚油酸的光谱变化彼此不同。在纯EVOOS和掺假EVOOS的温度变化的光谱中,两组之间的光谱差异的幅度和模式都不同,并且在-36.4摄氏度下测量导致线性判别分析的最低辨别误差为8.0%使用主成分分数。由于部件的不相似的温度依赖性分子振动,这两组的光谱特征在该温度下变得更加可辨别,这改善了认证精度。 (c)2017 Elsevier B.v.保留所有权利。

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