首页 | 本学科首页   官方微博 | 高级检索  
     

基于近红外光谱的淀粉掺杂滑石粉检测方法研究
引用本文:孙晓荣,刘翠玲,吴静珠,吴胜男,董秀丽. 基于近红外光谱的淀粉掺杂滑石粉检测方法研究[J]. 农机化研究, 2012, 34(7): 177-180
作者姓名:孙晓荣  刘翠玲  吴静珠  吴胜男  董秀丽
作者单位:北京工商大学计算机与信息工程学院,北京,100048
摘    要:实验运用近红外光谱分析技术检测淀粉中掺杂滑石粉的含量;收集了国内常用的不同品牌不同种类的淀粉样本共32个,将滑石粉按不同浓度掺杂到淀粉中制备实验样本;选择最优的光谱预处理方法和光谱范围,运用近红外光谱分析中的偏最小二乘法(PLS)进行定量分析研究。结果表明,采用偏最小二乘法(PLS)所建的定量分析模型的相关性较高,预测相关系数和预测均方根误差均符合要求。研究发现,近红外光谱技术用于快速无损检测淀粉掺杂滑石粉是可行的。

关 键 词:近红外光谱  偏最小二乘法  淀粉  滑石粉

The Research of Detection of Talc Content in Starch Based on Near-infrared Spectroscopy
Sun Xiaorong , Liu Cuiling , Wu Jingzhu , Wu Shengnan , Dong Xiuli. The Research of Detection of Talc Content in Starch Based on Near-infrared Spectroscopy[J]. Journal of Agricultural Mechanization Research, 2012, 34(7): 177-180
Authors:Sun Xiaorong    Liu Cuiling    Wu Jingzhu    Wu Shengnan    Dong Xiuli
Affiliation:(College of Computer Science and Information Engineering,Beijing Technology and Business University,Beijing 100048,China)
Abstract:This objective of this research is to find the possible method of applying near infrared spectroscopy technology to detect the content of talc in the starch.32 different brands of starch in Chinese market are used in the research.The samples are made by mixing the talc into starch sample with different concentration.The partial least squares(PLS) of the near infrared spectroscopy is used in the analysis of the data from these samples processed by the optimal spectral pretreatment methods and spectral range.It is proved that the quantitative analysis model built on the partial least squares(PLS) has high correlation,the correlation coefficients and root mean square forecast error match the requirements.The final result of this research is feasible to use near-infrared spectroscopy technology to rapid-speed non-destructive detecting starch mixed with talc.
Keywords:near-infrared spectroscopy  partial least squares method  starch  talc
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号