Combined Use of Conventional and Second-Derivative Data in the SIMPLISMA Self-Modeling Mixture Analysis Approach-Reference-Cited by-同舟云学术

Combined Use of Conventional and Second-Derivative Data in the SIMPLISMA Self-Modeling Mixture Analysis Approach

Published:2002-02-19 Issue:6 Volume:74 Page:1371-1379
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Windig Willem¹,Antalek Brian¹,Lippert Joseph L.¹,Batonneau Yann¹,Brémard Claude¹

Affiliation:

1. Imaging Materials and Media, Research & Development, Eastman Kodak Company, Rochester, New York 14650-2132, and Laboratoire de Spectrochimie Infrarouge et Raman UMR-CNRS 8516, PRC Région Nord Pas de Calais, Bât. C5 Université des Sciences et Technologies de Lille, F-59655 Villeneuve d'Ascq cedex, France.

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ac0110911

Reference27 articles.

1. Mixture analysis using factor analysis. II: Self-modeling curve resolution

2. Self-modeling mixture analysis of spectral data with continuous concentration profiles

3. Interactive self-modeling mixture analysis

4. Self-modeling mixture analysis of categorized pyrolysis mass spectral data with the SIMPLISMA approach

5. Self-modeling mixture analysis of second-derivative near-infrared spectral data using the SIMPLISMA approach

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