Application of ANN-ICA and PLSR Methodologies for the Simultaneous Spectrophotometric Determination of Analgesic Drugs in Commercial Pharmaceutical


AKTAŞ A. H.

INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH AND ALLIED SCIENCES, vol.7, no.2, pp.22-29, 2018 (Journal Indexed in ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 7 Issue: 2
  • Publication Date: 2018
  • Title of Journal : INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH AND ALLIED SCIENCES
  • Page Numbers: pp.22-29

Abstract

In this research, definite, precision and correct spectrophotometric - chemometric techniques were developed for the drugs containing codeine and acetaminophen. The examined commercial pharmaceutical is Geralgine. The used calibration-prediction methods are partial least squares regression (PLSR) and independent component analysis-artificial neural networks (ICA-ANN). A concentration set including binary mixtures of codeine and acetaminophen formed to 25 different concentrations, were synthetic set prepared in 96% ethanol. The precision and accuracy of the developed method were validated by analyzing synthetic mixture containing the examining drug. Eventually, high recoveries and very low relative standard deviations were found.