Optimization and scale-up studies for the production of biosurfactant by Saccharomyces cerevisiae 2031 in a stirred tank bioreactor using molasses and coco paring meal as substrate

Date

6-2015

Degree

Bachelor of Science in Chemical Engineering

College

College of Engineering and Agro-Industrial Technology (CEAT)

Adviser/Committee Chair

Catalino G. Alfafara

Restrictions

Restricted: Not available to the general public. Access is available only after consultation with author/thesis adviser and only to those bound by the confidentiality agreement.

Abstract

The production of biosurfactant from Saccharomyces cerevisiae 2031 was optimized in a 5-L stirred tank bioreactor via Response Surface Methodology (RSM), and the results were used to scale up the process to a 30-L stirred tank bioreactor. RSM experiments showed that maximum yeasts biomass (proportional to biosurfactant content) was achieved at combinations of either (a) high aeration and high agitation or (b) high aeration and low agitation. On the other hand, the effect of of aeration and agitation on the emulsification index was not clearly determined indicating possible inadequate extraction of biosurfactant from yeast cell wall. Thus, considering the proportional relationship of biomass and biosurfactant concentrations, numerical optimization was applied to maximize biomass concentration in the 5-L bioreactor. Optimum biosurfactant production was found at 12.34 vvm aeration and 159 rpm agitation. Experimental verification showed validity of the optimum conditions (5-L bioreactor) Using the volumetric oxygen mass transfer coefficient (kLa) as a scale up factor the equivalent aeration/agitation conditions were calculated for a 30-L bioreactor as 1.34 vvm, 88 rpm. Verification of the equivalent optimum conditions in the scaled-up 30-L bioreactor showed reproducibility of optimum fermentation performance of the 5-L bioreactor, indicating successful optimization and scale-up.

Language

English

Location

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

Call Number

LG 993.5 2015 E62 /S35

Document Type

Thesis

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