Abstract
AbstractWindow factor analysis (WFA) is a self‐modeling method for extracting the concentration profiles of individual components from evolutionary processes such as flow injection, chromatography, titrations and reaction kinetics. The method takes advantage of the fact that each component lies in a specific region along the evolutionary axis, called the window. Theoretical equations are derived. The method is used to extract the concentration profiles and spectra of seven bismuth species from data obtained by Gemperline and Hamilton, who injected bismuth perchlorate into a flowing stream of hydrochloric acid.
References
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Dates
Type | When |
---|---|
Created | 20 years, 3 months ago (May 28, 2005, 8:51 p.m.) |
Deposited | 1 year, 9 months ago (Nov. 20, 2023, 6:28 p.m.) |
Indexed | 3 weeks ago (Aug. 7, 2025, 4:53 p.m.) |
Issued | 33 years, 7 months ago (Jan. 1, 1992) |
Published | 33 years, 7 months ago (Jan. 1, 1992) |
Published Online | 20 years, 4 months ago (March 30, 2005) |
Published Print | 33 years, 7 months ago (Jan. 1, 1992) |
@article{Malinowski_1992, title={Window factor analysis: Theoretical derivation and application to flow injection analysis data}, volume={6}, ISSN={1099-128X}, url={http://dx.doi.org/10.1002/cem.1180060104}, DOI={10.1002/cem.1180060104}, number={1}, journal={Journal of Chemometrics}, publisher={Wiley}, author={Malinowski, Edmund R.}, year={1992}, month=jan, pages={29–40} }