Retention Prediction Modeling of Ginsenosides on a Polyvinyl Alcohol-bonded Stationary Phase at Subambient Temperatures Using Multiple Linear Regression and Artificial Neural Network-Reference-Cited by-同舟云学术

Retention Prediction Modeling of Ginsenosides on a Polyvinyl Alcohol-bonded Stationary Phase at Subambient Temperatures Using Multiple Linear Regression and Artificial Neural Network

Published:2008 Issue:1 Volume:24 Page:139-148
ISSN:0910-6340
Container-title:Analytical Sciences
language:en
Short-container-title:Anal. Sci.

Author:

QUIMING Noel S.¹²,DENOLA Nerissa L.¹³,SOLIEV Azamjon B.¹,SAITO Yoshihiro¹,JINNO Kiyokatsu¹

Affiliation:

1. School of Materials Science, Toyohashi University of Technology

2. Department of Physical Sciences and Mathematics, College of Arts and Sciences, University of the Philippines Manila

3. Department of Pharmaceutical Chemistry, College of Pharmacy, University of the Philippines Manila

Publisher

Springer Science and Business Media LLC

Subject

Analytical Chemistry

Link

https://www.jstage.jst.go.jp/article/analsci/24/1/24_1_139/_pdf

Reference49 articles.

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3. 3. K. Hostettmann and A. Marston, “Saponins-Chemistry and Pharmacology of Natural Products”, 1995, Cambridge University Press, Cambridge, UK.

4. 4. ESCOP Monographs, “European Scientific Cooperative on Phytotherapy”, 2nd ed., 2003, Exeter, 211.

5. 5. D. Kiefer and T. Pantuso, Am. Family Phys., 2003, 68, 1539.

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