Statistical Optimization Of Cultural Conditions For Manganese Peroxidase Production By Coriolus Versicolor Mtcc 138 From Digested Cattle Dung Slurry

Authors

  • Rekha Sharma Department of Microbiology,Punjab Agricultural University, Ludhiana – 141 004, Punjab (India)
  • Rouf Ahmad Dar Department of Microbiology,Punjab Agricultural University, Ludhiana – 141 004, Punjab (India)
  • Ajit Kaur Department of Microbiology,Punjab Agricultural University, Ludhiana – 141 004, Punjab (India)
  • Urmila Gupta Phutela School of Renewable Energy Engineering, Punjab Agricultural University, Ludhiana – 141 004, Punjab (India)

DOI:

https://doi.org/10.48165/

Keywords:

Coriolus versicolor MTCC 138, digested cattle dung slurry, manganese peroxidase, Placket-Burman model

Abstract

The present study reports the production of manganese peroxidase enzyme  using digested cattle dung slurry as a substrate by Coriolus versicolor MTCC  Digested cattle dung slurry was analyzed for proximate (total solids,  volatile solids and pH), chemical (cellulose, hemicellulose, lignin and silica) and biochemical (total proteins and manganese peroxidase) composition. Manganese peroxidase production by C. versicolor MTCC 138, was optimized by a conventional ‘one variable at a time approach’ and then by Placket Burman design. Optimized fermentation conditions for the maximum  manganese peroxidase (78.0 U mL-1) enzyme production were 25% slurry concentration, 5 days of incubation, temperature 25°C and inoculum size of 106  spores mL-1. This enzyme titre obtained by statistical optimization was 1.86- fold than that achieved by ‘one variable at a time approach’. It revealed that the effect of different cultural conditions (slurry concentration, spore concentration and incubation period) have statistically significant effect on enzyme production. 

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Published

2017-10-03

How to Cite

Statistical Optimization Of Cultural Conditions For Manganese Peroxidase Production By Coriolus Versicolor Mtcc 138 From Digested Cattle Dung Slurry . (2017). Applied Biological Research, 19(2), 122–131. https://doi.org/10.48165/