Application of Two-Dimensional Correlation Spectroscopy to Chemometrics: Self-Modeling Curve Resolution Analysis of Spectral Data Sets-Reference-Cited by-同舟云学术

Application of Two-Dimensional Correlation Spectroscopy to Chemometrics: Self-Modeling Curve Resolution Analysis of Spectral Data Sets

Published:2003-11 Issue:11 Volume:57 Page:1376-1380
ISSN:0003-7028
Container-title:Applied Spectroscopy
language:en
Short-container-title:Appl Spectrosc

Author:

Jung Young Mee¹,Kim Seung Bin¹,Noda Isao¹

Affiliation:

1. Department of Chemistry, Pohang University of Science and Technology, San 31, Hyojadong, Pohang 790-784, Korea (Y.M.J., S.B.K.); and The Procter and Gamble Company, 8611 Beckett Road, West Chester, Ohio 45069 (I.N.)

Publisher

SAGE Publications

Subject

Spectroscopy,Instrumentation

Link

http://journals.sagepub.com/doi/pdf/10.1366/000370203322554536

Reference31 articles.

1. Self Modeling Curve Resolution

2. Separation of mass spectra of mixtures by factor analysis

3. Obtaining the key set of typical vectors by factor analysis and subsequent isolation of component spectra

4. A priori estimates of the elution profiles of the pure components in overlapped liquid chromatography peaks using target factor analysis

5. Three-component curve resolution in liquid chromatography with multiwavelength diode array detection

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