Publication:
Genetic algorithms-based approach for wavelength selection in spectrophotometric determination of vitamin B<inf>12</inf> in pharmaceutical tablets by partial least-squares

Issued Date

2012-01-01

Resource Type

Conference Paper

ISSN

18777058

DOI

10.1016/j.proeng.2012.01.1261

Other identifier(s)

2-s2.0-84880845731

Rights

Mahidol University

Rights Holder(s)

SCOPUS

Bibliographic Citation

Procedia Engineering. Vol.32, (2012), 225-231

Suggested Citation

L. Sratthaphut, N. Ruangwises Genetic algorithms-based approach for wavelength selection in spectrophotometric determination of vitamin B<inf>12</inf> in pharmaceutical tablets by partial least-squares. Procedia Engineering. Vol.32, (2012), 225-231. doi:10.1016/j.proeng.2012.01.1261 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/14179

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Title

Genetic algorithms-based approach for wavelength selection in spectrophotometric determination of vitamin B<inf>12</inf> in pharmaceutical tablets by partial least-squares

Author(s)

L. Sratthaphut
 N. Ruangwises

Other Contributor(s)

Silpakorn University
 Mahidol University

Abstract

This study illustrated the genetic algorithms (GA) is useful tool in wavelength selection for the spectrophotometric determination of vitamin B 12 in pharmaceutical tablets by partial least-squares calibration procedure (PLS). Because of interference in the spectra, a training set of the mixtures of vitamin B 12 and tablet excipients was built to be used as calibration set for modeling. The absorption spectra of all solutions were recorded each 1 nm in the range 354-600 nm, using 0.1N hydrochloric acid as solvent. A validation set was employed to verify the models and a commercial sample was analysed. GA-PLS model leads to 86% improvement of predictive ability for vitamin B 12 , when comparing with full spectrum PLS model. It is concluded that only some variables in GA-PLS modeling are relevant for prediction and removing the non-relevant variables can improve the predictive capability. © 2010 Published by Elsevier Ltd.

Keyword(s)

Engineering

Availability

URI

https://repository.li.mahidol.ac.th/handle/20.500.14594/14179

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