S
Samuel E. Agarry
Researcher at Ladoke Akintola University of Technology
Publications - 84
Citations - 1605
Samuel E. Agarry is an academic researcher from Ladoke Akintola University of Technology. The author has contributed to research in topics: Bioremediation & Biostimulation. The author has an hindex of 24, co-authored 75 publications receiving 1304 citations. Previous affiliations of Samuel E. Agarry include Delta State University.
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Microbial degradation of phenols: a review
TL;DR: The microbial degradation of phenols has been reviewed including the phenol-degrading microbes, factors affecting degradability, and the use of biotechnology with emphasis on degradation mechanisms and their kinetics and it was clear it may never be possible to describe the kinetic properties of a microbial cell with a single set of constants.
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Kinetics of batch microbial degradation of phenols by indigenous Pseudomonas fluorescence
Samuel E. Agarry,B. O. Solomon +1 more
TL;DR: The biokinetic constants estimated using these models showed good potential of the Pseudomonas fluorescence and the possibility of using it in bioremediation of phenol waste effluents and the Haldane model was found to give the best fit.
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Bioremediation of Soil Artificially Contaminated with Petroleum Hydrocarbon Oil Mixtures: Evaluation of the Use of Animal Manure and Chemical Fertilizer
TL;DR: In this article, a combination of treatments consisting of the application of poultry manure, piggery manure, goat manure, and chemical fertilizer was evaluated in situ during a period of 4 weeks of remediation.
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Box-Behnken design application to study enhanced bioremediation of soil artificially contaminated with spent engine oil using biostimulation strategy
Samuel E. Agarry,O. O. Ogunleye +1 more
TL;DR: In this article, the authors studied the biodegradation of spent engine oil in soil using Box-Behnken design under response surface methodology and obtained a statistically significant second-order quadratic regression model for TPH and hexavalent chromium (Cr) removal.
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Statistical optimization of process variables for biodiesel production from waste cooking oil using heterogeneous base catalyst.
TL;DR: In this paper, the effects of methanol -to-oil molar ratio, catalyst amount and reaction time on the transesterification of waste cooking oil (WCO) to biodiesel were investigated.