National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Antifungal metabolites from rare actinomycetes have been found attractive for application due to its novelty, potency and environmental friendliness. Optimization of process variables for enhanced production of antifungal metabolite in Janibacter sp. RC18 was carried out in this study. One factor at a time (OFAT) was used for preliminary optimization of fermentation variables (time, temperature, initial pH, carbon and nitrogen sources). A three factor central composite design (CCD) and response surface methodology (RSM) were employed for optimization of the selected significant nutritional variable (starch, soybean meal) and CaCO3. The optimum antifungal metabolite production was obtained at day 7 incubation period inhibition, temperature 30 oC, pH 8, starch as carbon source and soybean meal as nitrogen source. Response surface analysis revealed that the optimum value of the variables were 10.76 g/l of starch, 11.95 g/l of soybean meal and 1.57 g/l of CaCO3. Under this optimal condition antifungal metabolite production was 23.7 ± 0.09 mm which increased by 22.33 % compared to OFAT optimized medium (18.4 ± 0.06 mm). The present study has proved CCD and RSM is a reliable statistical tool for optimization of antifungal metabolite production in actinomycetes.
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