OPTIMIZATION OF BIOFILM SYSTEMS UNDER TOXIC INFLUENT LOADING USING GENETIC ALGORITHM
Abstract:The removal of Hexavalent chromium (Cr(VI)) and phenol was evaluated in mixedculture and pure-culture biofilm reactors using kinetic parameters optimized by a genetic search algorithm (GSA). Cr(VI) reduction was studied in a Bacillus sp. pure-culture system whereas simultaneous Cr(VI) reduction and phenol degradation was studied in a Pseudomonas putida DMP-1/Eschericia coli ATCC 33456 coculture system with phenol as the sole added carbon source. Close to 100% removal efficiencies were observed under low to medium loadings (2.5-26.5 mg Cr(VI)/L/d with phenol as the carbon source and 10-498 mg Cr(VI)/L/d with glucose as the sole added carbon source). The model predicted rather accurately the effluent conditions by capturing the perturbations caused by either excessive toxicity or biomass loss in the reactor. The optimum values of the kinetic parameters obtained by the GSA were comparable to reported values for substrate (phenol and glucose) utilization, and significantly higher for Cr(VI) reduction. The developed model was aimed at minimizing the simplifying assumptions for the biofilm systems thereby avoiding the use of rigid models useful only in a narrow range of operation.
Document Type: Research Article
Publication date: January 1, 2002
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