Setting local rank constraints by orthogonal projections for image resolution analysis: Application to the determination of a low dose pharmaceutical compound-Reference-Cited by-同舟云学术

Setting local rank constraints by orthogonal projections for image resolution analysis: Application to the determination of a low dose pharmaceutical compound

Published:2015-09 Issue: Volume:892 Page:49-58
ISSN:0003-2670
Container-title:Analytica Chimica Acta
language:en
Short-container-title:Analytica Chimica Acta

Author:

Boiret Mathieu,de Juan Anna,Gorretta Nathalie,Ginot Yves-Michel,Roger Jean-Michel

Publisher

Elsevier BV

Subject

Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Reference27 articles.

1. Pharmaceutical applications of vibrational chemical imaging and chemometrics: a review;Gendrin;J. Pharm. Biomed. Anal.,2008

2. Study of pharmaceutical samples by NIR chemical-image and multivariate analysis;Amigo;Trends Anal. Chem.,2008

3. Comparison of chemometric methods in the analysis of pharmaceuticals with hyperspectral Raman imaging;Vajna;J. Raman Spectrosc.,2011

4. Defining a strategy for chemical imaging of industrial pharmaceutical samples on Raman line-mapping and global illumination instruments;Šašić;Appl. Spectrosc.,2006

5. Application of independent component analysis on Raman images of a pharmaceutical drug product: pure spectra determination and spatial distribution of constituents;Boiret;J. Pharm. Biomed. Anal.,2014

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3. An iterative approach for compound detection in an unknown pharmaceutical drug product: Application on Raman microscopy;Journal of Pharmaceutical and Biomedical Analysis;2016-02

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