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为实现对掺伪小磨香油的快速鉴别,本文采集了小磨香油样品的近红外吸收光谱,经二阶导数+矢量归一化预处理,17点移动式平均平滑后,选择光谱范围为9000cm-1～4500cm-1,利用合格性测试和主成分分析法(PCA)建立了小磨香油的鉴别模型,并取样对该模型验证。结果表明:两种模式识别方法对于掺假量10%～90%的小磨香油的真伪识别率均为100%。因此认为,采用近红外光谱结合模式识别技术结合可快速、准确地鉴别小磨香油真伪。
In order to achieve the rapid identification of adulterated sesame oil, the near-infrared absorption spectrum of the sesame oil sample was collected. After normalized by the second derivative + vector and averaged smoothly at 17 o’clock, the spectral range was selected to be 9000 cm -1 ~ 4500cm-1. The discriminant model of sesame oil was established by the qualification test and principal component analysis (PCA), and the model was verified by sampling. The results show that the identification accuracy of the two kinds of pattern recognition methods is 100% for the sesame oil with adulteration of 10% ~ 90%. Therefore, the use of near infrared spectroscopy combined with pattern recognition technology can quickly and accurately identify the authenticity of small sesame oil.