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Multiple Responses Optimization and Modeling of Lipase Production by Rhodotorula mucilaginosa MTCC-8737 Using Response Surface Methodology

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Abstract

Response surface methodology was employed to optimize culture medium for production of lipase with Rhodotorula sp. MTCC 8737. In the first step, a Plackett–Burman design was used to evaluate the effects of different inducers qualitatively. Of all the seven inducers tested, soybean oil showed significant influence on the lipase production. Further, response surface studies were conducted to quantitatively optimize by considering linear, interactive, and quadratic effects of test variables. A novel approach was proposed to optimize the lipase production system by optimizing the responses in terms of yield kinetics rather than optimizing the direct responses like lipase titer and biomass growth. The coefficient of determination (R 2) calculated for Y P/S (0.769), Y P/X (0.799), and Y X/S (0.847) indicated that the statistical model could explain 76.9%, 79.99%, and 84.7% of variability in the response.

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Acknowledgment

The authors are thankful to Dr. J.S. Yadav, Director, Indian Institute of Chemical Technology, Hyderabad, India for his encouragement. One of the authors, Subhakar Chennupati, thanks CSIR, New Delhi, India for SRF fellowship.

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Authors and Affiliations

  1. Bioengineering and Environmental Centre, Indian Institute of Chemical Technology (CSIR), Tarnaka, Hyderabad, 500607, India

    Subhakar Chennupati, Ravichandra Potumarthi & Annapurna Jetty

  2. Department of Statistics, Osmania University, Hyderabad, 500007, India

    M. Gopal Rao, P. Lakshmi Manga & M. Sridevi

Authors
  1. Subhakar Chennupati
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  2. Ravichandra Potumarthi
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  3. M. Gopal Rao
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  4. P. Lakshmi Manga
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  5. M. Sridevi
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  6. Annapurna Jetty
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Correspondence to Annapurna Jetty.

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Chennupati, S., Potumarthi, R., Gopal Rao, M. et al. Multiple Responses Optimization and Modeling of Lipase Production by Rhodotorula mucilaginosa MTCC-8737 Using Response Surface Methodology. Appl Biochem Biotechnol 159, 317–329 (2009). https://doi.org/10.1007/s12010-009-8547-6

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  • DOI: https://doi.org/10.1007/s12010-009-8547-6

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