Vol. 1 No. 3 (2023)
Articles

ESTIMATION OF DEGRADATION RATE CONSTANT FOR UTILIZATION IN TPH PREDICTION DURING SOIL BIOREMEDIATION

Woyengibunugha Ere
Department of Agricultural and Environmental Engineering, Niger Delta University, Wilberforce Island, Bayelsa State. woyinse1234@gmail.com
Balogun T.A.
Department of Chemical Engineering, University of Delta, Agbor, P.M.B. 2090, Delta State. Nigeria

Published 2023-10-02

Keywords

  • Bioremediation,
  • TPH,
  • Kinetics models,
  • Degradation rate constant

How to Cite

Woyengibunugha Ere, & Balogun T.A. (2023). ESTIMATION OF DEGRADATION RATE CONSTANT FOR UTILIZATION IN TPH PREDICTION DURING SOIL BIOREMEDIATION. African Journal of Environment and Sustainable Development, 1(3), 126-136. https://www.openjournals.ijaar.org/index.php/ajesd/article/view/360

How to Cite

Woyengibunugha Ere, & Balogun T.A. (2023). ESTIMATION OF DEGRADATION RATE CONSTANT FOR UTILIZATION IN TPH PREDICTION DURING SOIL BIOREMEDIATION. African Journal of Environment and Sustainable Development, 1(3), 126-136. https://www.openjournals.ijaar.org/index.php/ajesd/article/view/360

Abstract

Crude oil pollution of soil is a major environmental concern that requires effective remediation. Bioremediation using microorganisms provides an eco-friendly approach. This study investigated the biodegradation of total petroleum hydrocarbons (TPH) in crude oil contaminated wet and dry soils treated with Pseudomonas sp. First order and Michaelis-Menten kinetics models were used to evaluate degradation rate constants. Results showed significant TPH reduction of up to 96.97% and 95.10% in wet and dry soils treated with Pseudomonas sp., respectively. The first order rate constant () increased from 0.0073 day-1 to 0.0394 day-1 in wet soil and from 0.0057 day-1 to 0.0298 day-1 in dry soil with Pseudomonas sp. treatment. The maximum specific degradation rate and Michaelis-Menten constants also varied based on treatment. Comparison of experimental TPH values with model predictions showed the first order kinetics provided a better fit (R2 0.9730-0.9869) than Michaelis-Menten model (R2 0.8318-0.9590). By utilising the rate constants, the models can effectively predict TPH reduction over time during bioremediation.

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