Isolation of Pneumocandin Bo by Optimization of Downstream Process Parameters using Statistical Approach

Authors

  • Umesh Luthra  IPCA Laboratories Ltd., Biotech R&D, Kandivali (W), Mumbai, Maharashtra, India
  • Yogesh Patel  IPCA Laboratories Ltd., Biotech R&D, Kandivali (W), Mumbai, Maharashtra, India
  • Nishtha Singh  IPCA Laboratories Ltd., Biotech R&D, Kandivali (W), Mumbai, Maharashtra, India
  • Dharmendra Singh  IPCA Laboratories Ltd., Biotech R&D, Kandivali (W), Mumbai, Maharashtra, India

Keywords:

Pneumocandin Bo, downstream processing, filtration technique, solvent extraction, full factorial design

Abstract

Pneumocandin Bo is a lipopeptide antifungal agent that inhibits the synthesis of 1,3-β-d-glucan, an essential cell wall homopolysaccharide found in many pathogenic fungi. It is an industrial product produced as a result of fermentation by fungal strain Zelerion arboricola. The primary objective in industrial fermentation processes is to recover the product efficiently, reproducibly and safely to its required specification, while achieving maximum product yield at minimum recovery cost.Isolation of product from the fermentation broth is a challenging task. In the current study statistical approach was employed to optimize various parameters for downstream processing of Pneumocandin B0. Filtration technique was optimized initially using one variable at a time method. Press filter technique was found most suitable filtration technique. Solvent selection for extraction procedure was carried out using one variable at a time (OVAT). Isobutanol showed maximum product recovery. Further variables: agitation time, solvent volume and solvent wash were studied using full factorial design. Experimental design showed that agitation time and solvent wash had maximum impact on Pneumocandin B0 extraction.

References

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Published

2017-12-31

Issue

Section

Research Articles

How to Cite

[1]
Umesh Luthra, Yogesh Patel, Nishtha Singh, Dharmendra Singh, " Isolation of Pneumocandin Bo by Optimization of Downstream Process Parameters using Statistical Approach, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 2, Issue 3, pp.39-44, May-June-2016.