烟草科技2017，Vol.50Issue(2)：15-21,7.
用近红外光谱无损测定烟草种子淀粉含量
Nondestructive determination of starch content in tobacco seeds by near infrared spectroscopy
摘要
Abstract
To investigate nondestructive testing technology for starch content determination in tobacco seeds, near infrared spectra of 120 groups of tobacco seeds were analyzed within the wave length range of 4000 -9000 cm-1. A quantitative analysis model based on the near infrared spectroscopy for starch content in tobacco seeds was established by employing principal component regression (PCR) and verified by independent validation. The results showed that after the near infrared spectra were pre-processed with a standard normal variate (SNV) method combined with De-trending algorithm and smoothed with 19 points, the determination coefficient of the established model reached 99.80%, and the root mean square error of estimation (RMSEE) and standard error of prediction (SEP) were as low as 0.1493 and 0.1838, respectively. Meanwhile, the errors between the test values used in the validation set and the predicted values of the model were small.关键词
近红外/光谱/烟草种子/淀粉含量/分析模型Key words
Near infrared/Spectrum/Tobacco seed/Starch content/Analysis model分类
农业科技引用本文复制引用
潘威,马文广,郑昀晔,宋碧清,杜景诚,乔雨..用近红外光谱无损测定烟草种子淀粉含量[J].烟草科技,2017,50(2):15-21,7.基金项目
中国烟草总公司科技重点项目"烟草种子质量关键影响因素研究与质量控制体系构建"(110201302006) （110201302006）
云南省烟草公司科技项目"烟草种子质量关键影响因素研究与质量控制体系构建"(2013YN10) （2013YN10）
云南省烟草公司科技项目"烟草种子成熟机制及其调控技术研究与应用"(2016YN21). （2016YN21）
