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, G. Pokol, G. Marosi, Imre Miklós Szilágyi

Research output: Contribution to journalArticle

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 - Mar 5 2015

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Multivariate Analysis
Imaging techniques
Drug Compounding
Street Drugs
Silver
Pharmaceutical Preparations
Nanoparticles
Calibration
Image acquisition
Impurities
Processing

Keywords

  • Chemometrics
  • R-CI
  • Raman chemical imaging
  • SER-CI
  • SERS

ASJC Scopus subject areas

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

Cite this

Quantification of low drug concentration in model formulations with multivariate analysis using surface enhanced Raman chemical imaging. / Firkala, Tamás; Farkas, Attila; Vajna, Balázs; Nagy, Zsombor Kristóf; Pokol, G.; Marosi, G.; Szilágyi, Imre Miklós.

In: Journal of Pharmaceutical and Biomedical Analysis, Vol. 107, 05.03.2015, p. 318-324.

Research output: Contribution to journalArticle

Firkala, Tamás ; Farkas, Attila ; Vajna, Balázs ; Nagy, Zsombor Kristóf ; Pokol, G. ; Marosi, G. ; Szilágyi, Imre Miklós. / Quantification of low drug concentration in model formulations with multivariate analysis using surface enhanced Raman chemical imaging. In: Journal of Pharmaceutical and Biomedical Analysis. 2015 ; Vol. 107. pp. 318-324.
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