Optimized genotyping method for identification of bacterial contaminants in pharmaceutical industry
Microbiological control is of 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 16SrRNA gene...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2016-06-01
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| Series: | Acta Pharmaceutica |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/acph-2016-0011 |
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| _version_ | 1832570267688239104 |
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| author | Stamatoski Borche Ilievska Miroslava Babunovska Hristina Sekulovski Nikola Panov Sasho |
| author_facet | Stamatoski Borche Ilievska Miroslava Babunovska Hristina Sekulovski Nikola Panov Sasho |
| author_sort | Stamatoski Borche |
| collection | DOAJ |
| description | Microbiological control is of 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 16SrRNA 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 pharmaceutical industry quality control. |
| format | Article |
| id | doaj-art-08dceb8c70f44cacbc427af80b9730be |
| institution | Kabale University |
| issn | 1846-9558 |
| language | English |
| publishDate | 2016-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Acta Pharmaceutica |
| spelling | doaj-art-08dceb8c70f44cacbc427af80b9730be2025-02-02T15:49:15ZengSciendoActa Pharmaceutica1846-95582016-06-0166228929510.1515/acph-2016-0011acph-2016-0011Optimized genotyping method for identification of bacterial contaminants in pharmaceutical industryStamatoski Borche0Ilievska Miroslava1Babunovska Hristina2Sekulovski Nikola3Panov Sasho4 Quality Assurance, Profit Center Pharmaceuticals, Alkaloid AD, Skopje, Republic of Macedonia Quality Assurance, Profit Center Pharmaceuticals, Alkaloid AD, Skopje, Republic of Macedonia Quality Assurance, Profit Center Pharmaceuticals, Alkaloid AD, Skopje, Republic of Macedonia Laboratory for Molecular Biology, Institute of Biology, Faculty of Natural Sciences and Mathematics, Ss. Cyril & Methodius University, Skopje, Republic of Macedonia Laboratory for Molecular Biology, Institute of Biology, Faculty of Natural Sciences and Mathematics, Ss. Cyril & Methodius University, Skopje, Republic of MacedoniaMicrobiological control is of 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 16SrRNA 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 pharmaceutical industry quality control.https://doi.org/10.1515/acph-2016-001116srrnagenotypingbacterial identificationpharmaceutical industry |
| spellingShingle | Stamatoski Borche Ilievska Miroslava Babunovska Hristina Sekulovski Nikola Panov Sasho Optimized genotyping method for identification of bacterial contaminants in pharmaceutical industry Acta Pharmaceutica 16srrna genotyping bacterial identification pharmaceutical industry |
| title | Optimized genotyping method for identification of bacterial contaminants in pharmaceutical industry |
| title_full | Optimized genotyping method for identification of bacterial contaminants in pharmaceutical industry |
| title_fullStr | Optimized genotyping method for identification of bacterial contaminants in pharmaceutical industry |
| title_full_unstemmed | Optimized genotyping method for identification of bacterial contaminants in pharmaceutical industry |
| title_short | Optimized genotyping method for identification of bacterial contaminants in pharmaceutical industry |
| title_sort | optimized genotyping method for identification of bacterial contaminants in pharmaceutical industry |
| topic | 16srrna genotyping bacterial identification pharmaceutical industry |
| url | https://doi.org/10.1515/acph-2016-0011 |
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