எங்கள் குழு ஒவ்வொரு ஆண்டும் அமெரிக்கா, ஐரோப்பா மற்றும் ஆசியா முழுவதும் 1000 அறிவியல் சங்கங்களின் ஆதரவுடன் 3000+ உலகளாவிய மாநாட்டுத் தொடர் நிகழ்வுகளை ஏற்பாடு செய்து 700+ திறந்த அணுகல் இதழ்களை வெளியிடுகிறது, இதில் 50000 க்கும் மேற்பட்ட தலைசிறந்த ஆளுமைகள், புகழ்பெற்ற விஞ்ஞானிகள் ஆசிரியர் குழு உறுப்பினர்களாக உள்ளனர்.
அதிக வாசகர்கள் மற்றும் மேற்கோள்களைப் பெறும் திறந்த அணுகல் இதழ்கள்
700 இதழ்கள் மற்றும் 15,000,000 வாசகர்கள் ஒவ்வொரு பத்திரிகையும் 25,000+ வாசகர்களைப் பெறுகிறது
Gopal Samy B*, Sujitha S, Thyagarajan R and Jegatheesan K
Transglutaminase (E.C. 2.3.2.13) are a family of enzymes that catalyze the covalent bond formation between open amine groups. They are widely used in food industries and their demand rises daily. Though they are available in mammalian tissues, fish and plants, the complex separation and purification process led to the search of Microbial Transglutaminase (MTGase). Finding a new microbial source of transglutaminase and the medium composition for MTGase production were the purpose of this work. Six Different types of Actinomycetes like strains were isolated from soil sample and two of them named PG03 and PG06 were selected based on their ability to produce 23 mg/ml and 21 mg/ml MTGase enzyme respectively. Strain PG03 was chosen for further studies and it was found to be a Streptomyces species. Standard enzyme production media composition is modified and tested to facilitate the optimized MTGase activity. Strategies like finest nitrogen and carbon source selection, revealing the key ingredients of media by full factorial design and their optimal concentration Box-Behnken design were adopted. At the 95% confidence level, second order polynomial model was applied to fit the research outcome. Under the proposed optimized conditions, the model predicted a transglutaminase yield of 21.7 mg/ml, very closely matching the experimental value of 24.1 mg/ml. The F-test was greater than the table value of 2.82 and the p-value of 0.004 clearly reveals that this regression was statistically significant at the 95% confidence level. Further, the proposed model has the ability to elucidate 48.8% response variation as indicated by the R2 of the regression value.