Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020]For more details click here

Login as a Reviewer

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

See Guidelines to Authors
Current Issues

Original Research Articles

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

Int.J.Curr.Microbiol.App.Sci.2020.9(4): 284-302
DOI: https://doi.org/10.20546/ijcmas.2020.904.035


Optimization of Nutritional Variables Using Response Surface Methodology for Enhanced Antifungal Metabolite Production by Janibacter sp. RC18 from Turmeric Rhizosphere
Ruth Chiamaka Osaro-Matthew*, Francis Sopuruchukwu Ire and
Nnenna Frank-peterside
Department of Microbiology University of Port Harcourt Choba, Nigeria
*Corresponding author
Abstract:

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.


Keywords: Janibacter sp. RC18, Antifungal metabolite, OFAT, Central composite design; Response surface methodology
Download this article as Download

How to cite this article:

Ruth Chiamaka Osaro-matthew, Francis Sopuruchukwu Ire and Nnenna Frank-peterside. 2020. Optimization of Nutritional Variables Using Response Surface Methodology for Enhanced Antifungal Metabolite Production by Janibacter sp. RC18 from Turmeric Rhizosphere.Int.J.Curr.Microbiol.App.Sci. 9(4): 284-302. doi: https://doi.org/10.20546/ijcmas.2020.904.035