TY - NEWS
TI - Kinetic modeling of biosurfactant production from crude oil using Bacillus subtilis cells
AU - Alvarado, Kelly
AU - Niño, Lilibeth
AU - German, Gelves
AB - Crude oil and its derivatives have high application in different industries, and unforeseen spills or overexploitation generate a significant threat in ecosystems, causing negative impacts on soil, water, and air.
There are microorganisms capable of metabolizing hydrocarbons through the bioremediation process with
biosurfactant production, but large-scale culturing and technification are still a significant challenge due to their
high costs and optimization stage requirement. An unstructured kinetic model provides crucial information
regarding improvements and process optimization at the first stages. Thereof prediction of bioprocess kinetic
behavior is expected from mathematical expressions. Considering the above, biosurfactants’ bioprocess modeling
tends to be an essential tool to increasingly focus on the efficiency and profitability of oil industries. That is why
biosurfactant kinetics production from Bacillus subtilis is investigated in this research, implementing a mathematical model. Previous studies refereed experimental data to integrate into Monod, Contois, Haldane, Moser,
Powell, Tessier, Aiba-Edward, Luong, Yano-Koga, and Chen-Hashimoto equations. Therefore, a nonlinear
regression parameterization procedure is applied using the Matlab Fmincon Function. The best accuracy found
between experimental and simulated data was achieved using the Chen-Hashimoto kinetic model with μmax, kd
and ks values of 2.3239 d− 1
, 0.3748 d− 1 and 1.1619 g/L, respectively. This research suggests that biosurfactant
production occurs under anaerobic conditions where hydrolysis controls microbial growth. These research results are a promising aim related to industrial biotechnology since computational modeling is essential for
process efficiency from a technical and economic perspective.
DA - 2022-06-23
KW - Biosurfactant
KW - Bioreactor
KW - Crude oil
KW - Optimizing
KW - Modelling
PB - South African Journal of Chemical Engineering
UR - https://repositorio.ufps.edu.co/handle/ufps/6531
ER -