Preprocessing methods for near‐infrared spectrum calibration-Reference-Cited by-同舟云学术

Preprocessing methods for near‐infrared spectrum calibration

Published:2020-10-15 Issue:11 Volume:34 Page:
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:Journal of Chemometrics

Author:

Jiao Yiping¹^ORCID,Li Zhichao¹,Chen Xisong¹,Fei Shumin¹

Affiliation:

1. School of Automation Southeast University Nanjing China

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cem.3306

Reference82 articles.

1. Study of partial least squares and ridge regression methods

2. Linear support vector regression and partial least squares chemometric models for determination of Hydrochlorothiazide and Benazepril hydrochloride in presence of related impurities: A comparative study

3. Comparison among principal component, partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy

4. Comparative study between derivative spectrophotometry and multivariate calibration as analytical tools applied for the simultaneous quantitation of Amlodipine, Valsartan and Hydrochlorothiazide

5. Simultaneous determination of 6‐mercaptopurine and its oxidative metabolites in synthetic solutions and human plasma using spectrophotometric multivariate calibration methods;Sorouraddin M‐H;BioImpacts,2011

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