摘要
采用多元统计分析方法,对贵州2010和2011年124个烤烟样品中的8种生物碱进行偏最小二乘回归分析。结果表明:假木贼碱、二烯烟碱、新烟草碱及可替宁对烟碱含量的影响最大;通过偏最小二乘回归方程对烟碱含量进行预测,训练集119个样本的预测值与测定值之间的相对标准偏差都小于17.04%,其中有109个样本小于10.00%;用检测集5个样本进一步对方程进行验证,其预测值与测定值之间的相对标准偏差都小于6.72%。
Using the method of multivariate statistical analysis, we have conducted the partial least squares regression analysis（PLSRA） of 8 kinds of alkaloids of 124 flue-cured tobacco samples in 2010 and 2011 in Guizhou. The result shows that nornicotine, nicotyrine, anatabine and cotinine have the greatest influence on nicotine content. By partial least squares regression equation to predict the content of nicotine. We have found that the relative standard deviation between predicted value of 119 samples of the training set and their measured value is less than 17.04% and that in 109 of them is less than 10.00%. At last, 5 samples of the detecting set have been applied to validate the partial least squares regression equation. The result shows that the relative standard deviation between predicted value and measured value is less than 6.72% and a good fitting has been obtained.
出处
《湖南农业大学学报（自然科学版）》
CAS
CSCD
北大核心
2013年第5期463-465,共3页
Journal of Hunan Agricultural University(Natural Sciences)
基金
贵州省烟草专卖局(公司)项目(2009–09
2009–20
2011–12)
关键词
烤烟
生物碱
偏最小二乘回归分析
贵州
flue-cured tobacco
alkaloids
partial least squares regression analysis
Guizhou
