您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

The Application of CLS Algorithm in the Quantitative Analysis of Lime in Wheat Flour by NIR Spectroscopy

文献类型： 外文期刊

作者： Wang, Dong 1 ; Ma, Zhihong 1 ; Pan, Ligang 1 ; Zhao, Liu 1 ; Han, Ping 1 ; Wang, Jihua 1 ;

作者机构： 1.Beijing Res Ctr Agri Food Testing & Farmland Moni, Beijing 100097, Peoples R China

关键词： Classical Least Square;Corrected Peak Area;Corrected Peak Height;Wheat Flour;Lime

期刊名称：ADVANCED MANUFACTURING TECHNOLOGY, PTS 1-4

ISSN： 1022-6680

年卷期： 2012 年 472-475 卷

页码：

收录情况： SCI

摘要： Classical least square (CLS) algorithm is applied in this thesis to develop the raw spectra corrected peak area model, the raw spectra corrected peak height model, the 2nd derivative spectra corrected peak area model and the 2nd derivative spectra corrected peak height model by NIR spectra data of the wheat flour samples with lime added in. The result indicated that the correlation coefficients of the 4 models are 0.9321, 0.9483, -0.9491 and -0.9482 respectively; the result of F-test indicated that a remarkable correlation exists between the specified values of lime in wheat flour and the the raw spectra corrected peak areas / heights or the 2nd derivative spectra corrected peak areas / heights, which indicated that CLS algorithm has a certain potential application in the quantitative analysis of lime in wheat flour by NIR spectra data. Meanwhile, the result of F-test indicated that a very remarkable correlation exists between the estimated and specified values both the calibration set and external validation set of the 4 models. The limit of detection of the 4 models are 4.83 %, 4.14 %, 4.14 % and 4.17 % respectively, which will be suitable for the rapid quality screening for the wheat flour in the market and will be of great importance to the quality screening of wheat flour in the market, guarantee of the customers' health and the design and manufacturing of the special NIR spectrometer.

  • 相关文献

[1]The Application of Classical Least Square Algorithm in the Quantitative Analysis of Lime in Wheat Flour by ATR-MIR Spectroscopy. Wang, Dong,Wang, Jihua,Wang, Dong,Han, Donghai,Wang, Dong,Ma, Zhihong,Pan, Ligang,Zhao, Liu,Han, Ping,Wang, Jihua. 2012

[2]Research on Detection of Lime in Wheat Flour by NIR Micro-Imaging. Wang, Dong,Wang, Jihua,Wang, Dong,Ma, Zhihong,Han, Ping,Zhao, Liu,Pan, Ligang,Li, Xiaoting,Wang, Jihua,Wang, Dong.

[3]Research on the Quantitative Determination of Lime in Wheat Flour by Near-Infrared Spectroscopy. Wang Dong,Ma Zhi-hong,Pan Li-gang,Han Ping,Zhao Liu,Wang Ji-hua,Wang Dong,Wang Ji-hua,Wang Dong. 2013

[4]Application research on enhancing near-infrared micro-imaging quality by 2nd derivative. Wang Dong,Ma Zhi-hong,Zhao Liu,Wang Bei-hong,Han Ping,Pan Li-gang,Wang Ji-hua. 2013

[5]Research on the Quantitative Determination of Lime in Wheat Flour by Short-Wavelength Near-Infrared Spectroscopy. Wang, Dong,Wang, Jihua,Wang, Dong,Ma, Zhihong,Pan, Ligang,Han, Ping,Zhao, Liu,Wang, Jihua,Wang, Dong,Han, Donghai.

作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台