Rapid identification of microbial contaminants in pharmaceutical products using a PCA/LDA-based FTIR-ATR method
Braz. J. Pharm. Sci. (Online)
;
57: e18899, 2021. tab, graf
Article
Dans Anglais
| LILACS
| ID: biblio-1339302
ABSTRACT
Microbiological quality of pharmaceuticals is fundamental in ensuring efficacy and safety of medicines. Conventional methods for microbial identification in non-sterile drugs are widely used; however they can be time-consuming and laborious. The aim of this paper was to develop a chemometric-based rapid microbiological method (RMM) for identifying contaminants in pharmaceutical products using Fourier transform infrared with attenuated total reflectance spectrometry (FTIR-ATR). Principal components analysis (PCA) and linear discriminant analysis (LDA) were used to obtain a predictive model capable of distinguishing Bacillus subtilis (ATCC 6633), Candida albicans (ATCC 10231), Enterococcus faecium (ATCC 8459), Escherichia coli (ATCC 8739), Micrococcus luteus (ATCC 10240), Pseudomonas aeruginosa (ATCC 9027), Salmonella typhimurium (ATCC 14028), Staphylococcus aureus (ATCC 6538), and Staphylococcus epidermidis (ATCC 12228) microbial growth. FTIR-ATR spectra provide data on proteins, DNA/RNA, lipids, and carbohydrates constitution of microbial growth. Microbial identification provided by PCA/LDA based on FTIR-ATR method were compatible with those obtained using traditional microbiological methods. The chemometric-based FTIR-ATR method for rapid identification of microbial contaminants in pharmaceutical products was validated by assessing the sensitivity (93.5%), specificity (83.3%), and limit of detection (17-23 CFU/mL of sample). Therefore, we propose that FTIR-ATR spectroscopy may be used for rapid identification of microbial contaminants in pharmaceutical products and taking into account the samples studied
Texte intégral:
Disponible
Indice:
LILAS (Amériques)
Sujet Principal:
Analyse spectrale
/
Préparations pharmaceutiques
/
Analyse discriminante
/
Spectroscopie infrarouge à transformée de Fourier
/
Analyse de Fourier
Type d'étude:
Etude diagnostique
/
Étude pronostique
langue:
Anglais
Texte intégral:
Braz. J. Pharm. Sci. (Online)
Thème du journal:
Farmacologia
/
Teraputica
/
Toxicologia
Année:
2021
Type:
Article
Pays d'affiliation:
Brésil
Institution/Pays d'affiliation:
Universidade de São Paulo/BR
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