Partial least-squares method for calibration with NIR spectrophotometer

ZHANG Ling

doi:null

您当前的位置：

首页 >

文章列表页 >

Partial least-squares method for calibration with NIR spectrophotometer

更新时间：2020-08-12

- Partial least-squares method for calibration with NIR spectrophotometer
- Optics and Precision Engineering Vol. 8, Issue 3, Pages: 238-241(2000)
- 作者机构：
  
  中国科学院长春光学精密机械与物理研究所科技总公司, 吉林长春 130021
- 作者简介：
- 基金信息：
- DOI：
  CLC： O433.4
- Received：15 December 1999，
  
  Revised：22 February 2000，
  
  Published Online：15 June 2000，
  
  Published：15 June 2000
- 稿件说明：
移动端阅览
张玲. PLS定标法在近红外光谱分析仪中的应用研究[J]. 光学精密工程, 2000,(3): 238-241

ZHANG Ling. Partial least-squares method for calibration with NIR spectrophotometer[J]. Editorial Office of Optics and Precision Engineering, 2000,(3): 238-241
张玲. PLS定标法在近红外光谱分析仪中的应用研究[J]. 光学精密工程, 2000,(3): 238-241 DOI：

ZHANG Ling. Partial least-squares method for calibration with NIR spectrophotometer[J]. Editorial Office of Optics and Precision Engineering, 2000,(3): 238-241 DOI：

摘要

近红外光谱分析仪在农产品、水质监测和石油等许多领域有广泛的应用.这是一种在线实时分析仪器.光谱分析仪的定量分析有许多种方法.PLS(PartialLeast-Squares)法是在传统的多元线性回归的基础上发展起来的一种回归方法.文中针对40种烟草样品的红外光谱数据分别采用PLS回归法和MLR(Multiple Linear Regression)回归法进行分析.两种回归方法的结果与样品的化学位对比

表明PLS法是一种比较好的多变量定标方法

比较适合于实时在线定标分析.

Abstract

Near Infrared Reflectance(NIR)spectrophotometer is widely used in analyzing grains

water and oil. The spectrophotometer is able to analyze without destroy the chemical property of sample. There are many methods in its quantitative spectral analyses. Partial Least Squares(PLS)method is a good alternative to the more classical multiple linear regression. 40 tobacco sample data are described to illustrate the spectrophotometer calibration on PLS regression and Multiple Linear Regression(MLR). The result is related to calibration in chemical analysis. The values of components from PLS method is more precise than that from MLR method. It is proved that the PLS regression is a powerful multivariate calibration method and more suitable to the on-line or real-time analysis.

关键词

Keywords

references

Norris K H, Williams P C. Optimization of mathematical treatments of raw near-infrared signal in the measurement of protein in hard red spring wheat. Ⅰ. influence of particle size[J]. Cereal Chemistry, 1984, 61(2): 158－165.

Geladi Paul, Kowalski Bruce R. Partial least-squares regression: a tutorial[J]. Analytica Chimica Acta,1986, 185: 1－17.

Geladi Paul, Kowalski Bruce R. An example of 2-block predictive partial least-squares regression with simulated data[J]. Analytica Chimica Acta, 1986, 185: 19－32.

Haaland David M. Thomas Edward V. Partial least-squares methods for spectral analyses. 1. relation to other quantitative calibration methods and the extraction of qualitative information[J]. Anal. Chem., 1988, 60: 1193－1202.

Mcshane Michael J, Cote Gerard L, Spiegelman Clifford H. Assessment of partial least-squares calibration and wavelength selection for complex near-infrared spectra[J]. Applied Spectroscopy, 1998, 52(6): 878－884.

Views

504

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰