In order to test the prediction feasibility of total sugar, total nitrogen, nicotine, potassium and chlorine content in tobacco sheet, predictive models were established by partial least square ( pls ) technique, based on the data of nir diffuse reflective spectrum and determined chemical results of 250 tobacco sheet samples 摘要为了研究近红外光谱分析技术预测烟草薄片中的总糖、总氮、烟碱、钾和氯含量的可行性,本文以250个具有代表性的烟草薄片样品的近红外漫反射光谱数据和它们相时应化学测定数据为基础,通过偏最小二乘回归法(pls)建立了以上5种成分的近红外分析模型,并对模型的预测效果进行了评价。