Prediction of Retention Factors in Supercritical Fluid Chromatography Using Artificial Neural Network-Reference-Cited by-同舟云学术

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Prediction of Retention Factors in Supercritical Fluid Chromatography Using Artificial Neural Network

Published:2005-09 Issue:9 Volume:60 Page:860-865
ISSN:1061-9348
Container-title:Journal of Analytical Chemistry
language:en
Short-container-title:J Anal Chem

Author:

Fatemi M. H.,Baher E.

Publisher

Springer Science and Business Media LLC

Subject

Analytical Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s10809-005-0196-5.pdf

Reference33 articles.

1. Analytical Supercritical Fluid: Chromatography and Extraction, Lee, M.L. and Markides, K.E., Eds., Provo, Utah: Chromatography Conferences, 1990.

2. Moyiey, D.A., Extraction of Natural Products Using Near-Critical Solvents, Glasgow: Chapman and Hall, 1993.

3. Ramsey, E.D., Analytical Supercritical Fluid Extraction Techniques, Netherlands: Kluwer Academic, 1998.

4. Kaliszan, R., Structure and Retention in Chromatography: A Chemometric Approach, Amsterdam: Hardwood, 1997.

5. Mekenyan, O., Dimov, N., and Enchev, V., Anal. Chim. Acta, 1992, vol. 260, p. 69.

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2. Prediction of supercritical fluid chromatographic retention factors at different percents of organic modifiers in mobile phase;Journal of Separation Science;2009-02

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4. Prediction of selectivity coefficients of univalent anions for anion-selective electrode using support vector machine;Electrochimica Acta;2008-05

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