应用近红外透射光谱分析技术,建立了烟用香精相对密度、折光指数、酸值的近红外预测模型,并对光谱预处理方法进行讨论。将模型的预测结果与标准方法测定结果进行比较,在显著性水平为5%的条件下,两种方法不存在显著性差异。该方法操作简便,可快速、准确地用于烟用香精理化指标的检测。%A mathematical prediction model was established to quantitative relative density, refraction index and acid value in tobacco flavor via near infrared transmission spectroscopy, and the spectral preprocessing methods were discussed. The model prediction results were compared with those by the standard methods, there was no significant difference between two methods at the level of significant was 5%. This method was simple, rapid, accurate and can be used for detection of physicochemical index in tobacco flavor.
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