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为快速检测造纸法再造烟叶产品质量,以具有代表性的再造烟叶产品为研究对象,采用偏最小二乘法将样品的近红外光谱与其总糖、还原糖、总氮、挥发碱、挥发酸、氯离子、钙离子及钾离子含量进行拟合,建立了预测再造烟叶产品总糖、还原糖、总氮、挥发碱、挥发酸、氯离子、钾离子及钙离子含量的近红外分析模型,并评价了预测效果.结果表明:近红外预测值与各化学值之间具有很好的相关性,各模型均具有很好的预测准确性。建立的总糖、还原糖、总氮、挥发碱、挥发酸、氯离子、钙离子及钾离子模型的RMSECV分别为0.583 9、0.351 2、0.053 3、0.019 0、0.014 0、0.368 0、0.096 7、0.051 3,RPD分别为4.32、5.09、3.57、5.98、3.05、3.63、3.30、4.26.近红外光谱法可快速、简单和大批量地测定再造烟叶产品中的主要化学成分.
In order to quickly detect the quality of reconstituted tobacco products made by papermaking, the representative reconstituted tobacco products were taken as research objects. Near-infrared spectra of samples were compared with total sugar, reducing sugar, total nitrogen, volatile alkali, volatile acids, chlorine Ions, calcium ions and potassium ions were fitted to establish a near-infrared analysis model for predicting the contents of total sugar, reducing sugar, total nitrogen, volatile alkali, volatile acids, chloride, potassium and calcium in remanufactured tobacco leaves, The results show that there is a good correlation between the predicted value of NIR and each chemical value, and each model has a good prediction accuracy. The RMSECV of total sugar, reducing sugar, total nitrogen, volatile alkali, volatile acid, chloride ion, calcium ion and potassium ion were 0.583 9,0.351 2,0.053 3,0.019 0,0.014 0,0.368 0,0.096 7 , 0.051 3 and RPD respectively 4.32, 5.09, 3.57, 5.98, 3.05, 3.63, 3.30, 4.26. Near infrared spectroscopy can be used to determine the main chemical components of reconstituted tobacco products quickly, easily and in large quantities.