Genetic Algorithms-Based Approach for Wavelength Selection in Spectrophotometric Determination of Vitamin B12 in Pharmaceutical Tablets by Partial Least-Squares
| Autor: | Nongluck Ruangwises, L. Sratthaphut |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Chromatography
medicine.diagnostic_test Chemistry Calibration (statistics) General Medicine vitamin B12 genetic algorithms Set (abstract data type) Wavelength Spectrophotometry Partial least squares regression medicine Range (statistics) spectrophotometry Vitamin B12 partial least-squares Biological system Selection (genetic algorithm) Engineering(all) |
| Zdroj: | Procedia Engineering. 32:225-231 |
| ISSN: | 1877-7058 |
| DOI: | 10.1016/j.proeng.2012.01.1261 |
| Popis: | This study illustrated the genetic algorithms (GA) is useful tool in wavelength selection for the spectrophotometric determination of vitamin B12 in pharmaceutical tablets by partial least-squares calibration procedure (PLS). Because of interference in the spectra, a training set of the mixtures of vitamin B12 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 B12, 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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