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Feasibility study of discriminating edible vegetable oils by 2D-NIR

机译:2D-NIR鉴别食用植物油的可行性研究

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摘要

In order to develop a quick and non-destructive discrimination method for differentiating edible vegetable oils, near infrared spectra of four kinds of vegetable oil, namely soybean oil, palm oil, sesame oil and peanut oil from three different manufacturers were obtained using a Fourier transform near-infrared spectrometer and were combined using two-dimensional correlation spectroscopy over a range temperatures. The results showed that the peak information of different kinds of vegetable oil in the autopower spectra was different, and the difference was especially significant in the synchronous 2D-NIR spectra in the key area of 4800-4500 cm~(-1). Therefore, 2D-NIR spectroscopy can be used as an effective method to discriminate different kinds of vegetable oil. A comparison of peanut oils from different manufacturers showed that the difference between oils from manufacturers attached to the same holding company was very small, and that larger differences were observed for oils from manufacturers attached to different holding companies. This may be due to differences in production technology between holding companies. These findings may be used to identify which holding company produced a given sample of vegetable oil.
机译:为了建立一种快速,无损的食用植物油鉴别方法,采用傅立叶变换获得了来自三个不同生产厂家的四种植物油,即大豆油,棕榈油,芝麻油和花生油的近红外光谱。近红外光谱仪,并在一定温度范围内使用二维相关光谱法进行组合。结果表明,自功率谱中不同种类植物油的峰信息不同,在关键区域4800-4500 cm〜(-1)的同步二维近红外光谱中差异尤为明显。因此,二维近红外光谱可以用作区分不同种类植物油的有效方法。来自不同制造商的花生油的比较显示,隶属于同一控股公司的制造商的油之间的差异非常小,而来自不同控股公司的制造商的花生油的差异也较大。这可能是由于控股公司之间生产技术的差异。这些发现可用于确定哪个控股公司生产了给定的植物油样品。

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