近红外光谱分析大理不同产区年度间烟叶化学成分的特性

Peculiarity of Chemical Components of Tobacco Leaves in Different Regions of Dali and Different Years by Near Infrared Spectrum Analysis

[目的]利用近红外光谱数据分析大理不同产区年度间烟叶化学成分的特性。[方法]以红塔集团2010—2016年大理南涧、弥渡、巍山产区上中下部位上等烟叶样品为试验对象,其烤烟品种为红大,共计3个产区、7个年度、3个部位的63类样品扫描其近红外光谱6 439条;应用德国BRUKER公司开发的OPUS软件建立化学成分定量模型对样品光谱进行预测,对不同产区烟叶样品的烟碱、总糖、还原糖、总氮、氧化钾等数据进行分析。[结果]63类烟叶样品从化学成分数据来看部位特征比较明显,3个产区的区域特征差异不大;相同产区不同年度间的化学成分差异较大,部位间的差异大于该试验取样的烟叶样品产区和年度间的差异。[结论]通过近红外光谱技术建模得到的烟叶样品化学成分数据能够客观地反映出大理红大3个产区不同年度间烟叶品质的差异,可以作为烟叶产区种植规划的参考。

[Objective]The research aimed to analyze the chemical components of tobacco leaves in different regions of Dali and different years by near infrared spectrum data.[Method]Taking the samples of three tobacco parts(upper,middle and lower parts)of Hongta Group from2010to2016in Dali Nanjian,Midu and Weishan producing areas as test objects,the flue-cured tobacco variety was Hongda,with a total of three producing areas,seven years and three parts of63samples were scanned by6439near infrared spectra.The OPUS software developed by BRUKER company in Germany was used to establish a chemical components quantitative model to predict the spectra of samples.Nicotine,total sugar,reducing sugar,total nitrogen and potassium oxide in tobacco samples from different areas were analyzed.[Result]In the63tobacco samples,the tobacco-parts features were obvious from the chemical components data,and the regional characteristics of the three producing areas were no obvious difference.The chemical components of the same producing area differed greatly in different years,and the difference between the parts was greater than the difference between the producing area and the annual of the sampled tobacco sample.[Conclusion]The chemical components data of tobacco leaves,which were modeled by near-infrared spectrum,can objectively reflect the differences of tobacco leaf quality in three regions of Hongda in Dali,which can be used as reference for planted tobacco planting areas.