Fibrinolytic enzyme production
2019
0 views
0 downloads
Advisor: Prof. Dr. Muhammet Şaban Tanyıldızı
Abstract (EN)
In this study isolation, identification and optimisation of protease enzyme producing strains from fermantative protein resources was investigated. The protease enzyme activity of the isolated strains was determined by analyses performed on solid and liquid enzyme production media and the strain with the highest activity was selected. The obtained strain examined on the fibrin plate and blood agar and was selected having the highest activity. The selected strain was identified by 16S rRNA analysis. The maximum fibrinolytic enzyme production of the selected strains was observed at 60 °C and pH 7,0. In the different culture conditions used for enzyme production, it has been found that the best carbon source is fructose and the best nitrogen sources are yeast extract and pepton. MgSO4, CaCl2 and KH2PO4 components were found to have a negative effect on the enzyme production and MnCl2, ZnC4H6O4 elements had a positive effect. The optimum nutrient composition to be used in enzyme production was determined as 0,5 g/L ZnC4H6O4, 0,5 g/L MnCl2, 14,22 g/L peptone, 11,190 g/L yeast extract, 14,22 g/L fructose.
Author
Dr. Betül Düzleme
Institution
How to Cite
Betül Düzleme (Master Thesis). Fibrinolytic enzyme production, 2019, Fırat University.
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Fırat University
- Color usage at Turkish Divan of Fuzûlî(2013)
- Comparison of element concentrations in crude oil samples taken from different sites in Iraq and Turkey(2021)
- Geometric properties of Hasimoto surfaces in Minkowski 3-space(2022)
- The relationship between capitalism and fascism on the axis of two world wars(2022)
- Synthesis, electrical, and investigation of photochromic behaviors of chalcone based photosensitived polymers(2018)
- Analysis in the context of entrepreneurship of factors that affect the spreading strategies of mutinational companies in the global scale(2018)
