摘要
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 rapidly analyze the quality of paper-process reconstituted tobacco( RT) samples,representative RT products are chosen,and their NIR spectrum and the contents of various chemical components( such as total sugar,reducing sugar,total nitrogen,and volatile alkali,volatile acid,chloride,potassium and calcium) are fitted. Near infrared analysis models to predict chemical components of RT products are established and evaluated. Results show that there is a remarkable correlation between predictive and determinative values,and all models present a good predictive veracity. The RMSECV of established near infrared analysis models of volatile alkali,volatile acid,chloride,potassium and calcium ion are 0. 583 9,0. 351 2,0. 053 3,0. 019 0,0. 014 0,0. 368 0,0. 096 7,and 0. 051 3,RPD are 4. 32,5. 09,3. 57,5. 98,3. 05,3. 63,3. 30 and 4. 26,respectively. Near infrared spectroscopy is proved to be fast and simple for mass determination of the main chemical components of RT products.
出处
《昆明理工大学学报(自然科学版)》
CAS
2015年第5期108-113,共6页
Journal of Kunming University of Science and Technology(Natural Science)
基金
国家烟草专卖局重大专项项目(110201201035(ZZ-16))
云南中烟科技项目(2015YL02)
云南中烟自立项目(S-6014011)
关键词
近红外技术
再造烟叶
偏最小二乘回归法
化学成分
near-infrared spectrometry
reconstituted tobacco
partial least square
chemical component