【摘要】 建立了声光可调-近红外光谱方法(AOTF-NIR)检测烟草主要化学成分的方法。应用AOTF-NIR光谱仪测定了不同地区、不同等级烟草样品的近红外光谱,用Unscrambler(定量分析软件将光谱与对应的化学成分值相关联,建立了烟草中总糖、还原糖、总烟碱和钾的回归模型。用这些模型对未知样品进行了预测。总糖、还原糖、总烟碱和钾模型预测的平均相对标准偏差分别为2.71%、3.13%、4.04%和6.42%。更多还原

【Abstract】 An acoutsto-optic tunable filter-near infrared (AOTF-NIR) method for determining tobacco constituents was developed. The regressive models of total sugar, reducing sugar, nicotine and potassium were established by the Unscrambler. The average relative standard deviation between predicted value and measured value is 2.71%, 3.13%, 4.04%, 6.42%, respectively. The results indicate that AOTF-NIR technique is feasible for the analysis of tobacco constituents and the technique provides a foundation for on-line monitoring in tobacco process.更多还原