Skoči na glavni sadržaj

Kratko priopćenje

https://doi.org/10.1515/acph-2016-0011

Optimized genotyping method for identification of bacterial contaminants in pharmaceutical industry

BORCHE STAMATOSKI ; Quality Assurance, Profit Center Pharmaceuticals, Alkaloid AD, Skopje, Republic of Macedonia
MIROSLAVA ILIEVSKA ; Quality Assurance, Profit Center Pharmaceuticals, Alkaloid AD, Skopje, Republic of Macedonia
HRISTINA BABUNOVSKA ; Quality Assurance, Profit Center Pharmaceuticals, Alkaloid AD, Skopje, Republic of Macedonia
NIKOLA SEKULOVSKI ; Laboratory for Molecular Biology, Institute of Biology, Faculty of Natural Sciences and Mathematics, Ss. Cyril & Methodius University, Skopje, Republic of Macedonia
SASHO PANOV ; Laboratory for Molecular Biology, Institute of Biology, Faculty of Natural Sciences and Mathematics, Ss. Cyril & Methodius University, Skopje, Republic of Macedonia


Puni tekst: engleski pdf 381 Kb

str. 289-295

preuzimanja: 988

citiraj


Sažetak

Microbiological control has crucial importance in the pharmaceutical industry regarding the possible bacterial contamination of the environment, water, raw materials and finished products. Molecular identification of bacterial contaminants based on DNA sequencing of the hypervariable 16S rRNA gene has been introduced recently. The aim of this study is to investigate the suitability of gene sequencing using our selection of PCR primers and conditions for rapid and accurate bacterial identification in the pharmaceutical industry quality control.
DNA was extracted from overnight incubated colonies from 10 bacterial ATCC strains, which are common contaminants in the pharmaceutical industry. A region of bacterial 16S rRNA gene was analyzed by bidirectional DNA sequencing. Bacterial identification based on partial sequencing of the 16S rRNA gene is the appropriate method that could be used in the pharmaceutical industry after adequate validations. We have successfully identified all tested bacteria with more than 99 % similarity to the already published sequences.

Ključne riječi

16S rRNA; genotyping; bacterial identification; pharmaceutical industry

Hrčak ID:

147309

URI

https://hrcak.srce.hr/147309

Datum izdavanja:

30.6.2016.

Posjeta: 1.924 *