Optimization and scale-up studies for the production of microbial rennet using submerged fermentation of Rhizopus Chinensis Saito Biotech 3273 in a medium containing Coconut Paring Cake (CPC) fines

Date

3-2014

Degree

Bachelor of Science in Chemical Engineering

College

College of Engineering and Agro-Industrial Technology (CEAT)

Adviser/Committee Chair

Catalino G. Alfafara

Abstract

This study was an attempt to optimize the production of microbial rennet in a 5-L bioreactor via Response Surface Methodology (RSM), and to use the optimum conditions of the 5L bioreactor to scale up the process to a 30-L bioreactor. The volumetric oxygen mass transfer coefficient (Kla) was used as the scale up factor. A factorial experiment was first done to determine the best preparation of the coconut paring cake (CPC) in the medium. An RSM- based Central Composite Design (CCD) was then used in the 5-L scale optimization experiments, followed by biochemical engineering scale up calculations and experiments to check reproducibility of fermentation performance in the 30-L bioreactor. Results showed that a suspension of CPC fines without extraction was the best methods for substrate preparation. Numerical optimization to maximize milk clotting activity (MCA) and minimize both proteolytic activity (PA) and biomass concentration gave the following solution for the 5-L bioreactor: 0.42vvm aeration rate and 300rpm agitation speed. Using Kla correlations, the equivalent optimum aeration and agitation conditions for the 30-L fermentor was calculated to be 0.42vvm and 300rpm respectively. the fermentation performance of the 30-L bioreactor at the scale-up conditions was found to be reasonably reproducible with the 5-L bioreactor performance. Maximum MCA of 850 IMCU/mL to 870 IMCU/mL, with negligible PA, was achieved within 30 hours to 38 hours of fermentation. The combination of statistical and biochemical engineering approach was shown to be a useful strategy for optimization and scale up of submerged fermentation for microbial rennet production.

Language

English

Location

UPLB College of Engineering and Agro-Industrial Technology (CEAT)

Call Number

LG 993.5 2014 E62 /C36

Document Type

Thesis

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