近红外检测把烟叶片化学成分技术研究

Determination of Chemical Components of Handed Tobacco Leaves by NIRS

摘要: 为在收购现场及时向质检人员提供烟叶化学成分数据，更加全面准确地判断烟叶质量，减少烟叶样品前处理工序，直接在把烟叶表选取10个特殊点采集近红外光谱，然后合并为一个平均光谱，与流动分析仪检测化学成分结果进行关联，建立数学模型，各成分模型相关性均在0.9以上。初步应用证明该套近红外模型基本满足设计需要。

Abstract: In order to provide on site chemical analysis data of tobacco leaves to quality agent at purchase, NIRS method was used to determine the chemical component of tobacco leaves. The ten points of handed tobacco leaf surface was combined into one mean spectrum, which was correlated with the determination results of chemical components by flow analyzer, and the mathematical models were established with average correlation coefficients over 0.9. The designed NIRS model is reliable and practical for chemical components determination of handed tobacco leaves.