Quantification of low drug concentration in model formulations with multivariate analysis using surface enhanced Raman chemical imaging

Tamás Firkala, Attila Farkas, Balázs Vajna, Zsombor Kristóf Nagy, György Pokol, György Marosi, Imre Miklós Szilágyi

Research output: Article

9 Citations (Scopus)

Abstract

This paper reports the application of surface enhanced Raman chemical imaging (SER-CI) as a potentially non-destructive quantitative analytical method for the investigation of model pharmaceutical formulations containing the active pharmaceutical ingredient (API) in low concentrations (0.5-2%). The application of chemometric techniques for processing the spectra enables the determination of API distribution in products of different concentrations. In addition, the applied multivariate curve resolution can be proper method to identify unexpected contaminants in illicit drugs. The drastic Raman signal enhancement in the presence of silver nanoparticles provides significantly improved calibration accuracy and, at the same time, radically decreased image acquisition time compared to conventional Raman chemical imaging.

Original languageEnglish
Pages (from-to)318-324
Number of pages7
JournalJournal of Pharmaceutical and Biomedical Analysis
Volume107
DOIs
Publication statusPublished - márc. 5 2015

ASJC Scopus subject areas

  • Analytical Chemistry
  • Pharmaceutical Science
  • Drug Discovery
  • Spectroscopy
  • Clinical Biochemistry

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