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1706221 Vol 8 · Issue 2 Download Paper

Comparative Analysis of Degradation Rate Constants for Predicting TPH Degradation in Soil Using Pennisetum Purpureum and Michaelis-Menten Kinetic Models

Achinike Okogbule Wonodi

Subject area: Science,Engineering and Technology  ·  Area of research: Agric and Environmental Engineering

Abstract

The degradation of total petroleum hydrocarbons (TPH) in soil environments plays a crucial role in bioremediation strategies. This study investigates the efficiency of Michaelis-Menten in predicting the degradation rate of TPH in soils amended with a medicinal herb known as Pennisetum Purpureum. Using empirical data from different soil types (swampy and clay) and treatment weights, we determined the degradation rate constants (k) for each model. The first-order rate model demonstrated a variable rate constant dependent on treatment weight, with values ranging from 0.0119 to 0.0527 day??. The second-order rate model, evaluated through regression analysis, provided alternative predictions that also varied with treatment weight. Our findings suggest that the degradation rate constants from this study are consistent with previously reported values, confirming the reliability of these models for TPH degradation prediction. This comparison highlights the applicability of each model for different treatment scenarios, providing insights into the most suitable kinetic model for optimizing bioremediation processes. The study underscores the importance of selecting appropriate kinetic models to enhance the accuracy of TPH degradation predictions and improve soil remediation strategies.

Keywords

TPH Degradation, Michaelis-Menten Model, Pennisetum Purpureum, Bioremediation Strategies, Kinetic Models

How to cite this paper

Achinike Okogbule Wonodi "Comparative Analysis of Degradation Rate Constants for Predicting TPH Degradation in Soil Using Pennisetum Purpureum and Michaelis-Menten Kinetic Models" Iconic Research And Engineering Journals Volume 8 Issue 2 2024 Page 893-896
Achinike Okogbule Wonodi "Comparative Analysis of Degradation Rate Constants for Predicting TPH Degradation in Soil Using Pennisetum Purpureum and Michaelis-Menten Kinetic Models" Iconic Research And Engineering Journals, vol. 8, no. 2, Aug. 2024
Achinike Okogbule Wonodi (2024). Comparative Analysis of Degradation Rate Constants for Predicting TPH Degradation in Soil Using Pennisetum Purpureum and Michaelis-Menten Kinetic Models. Iconic Research And Engineering Journals, 8(2).
Achinike Okogbule Wonodi "Comparative Analysis of Degradation Rate Constants for Predicting TPH Degradation in Soil Using Pennisetum Purpureum and Michaelis-Menten Kinetic Models" Iconic Research And Engineering Journals, vol. 8, no. 2, Aug. 2024.
@article{1706221,
      author = {Achinike Okogbule Wonodi},
      title = {Comparative Analysis of Degradation Rate Constants for Predicting TPH Degradation in Soil Using Pennisetum Purpureum and Michaelis-Menten Kinetic Models},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {8},
      number = {2},
      pages = {893-896},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/17062211.pdf},
      abstract = {The degradation of total petroleum hydrocarbons (TPH) in soil environments plays a crucial role in bioremediation strategies. This study investigates the efficiency of Michaelis-Menten in predicting the degradation rate of TPH in soils amended with a medicinal herb known as Pennisetum Purpureum. Using empirical data from different soil types (swampy and clay) and treatment weights, we determined the degradation rate constants (k) for each model. The first-order rate model demonstrated a variable rate constant dependent on treatment weight, with values ranging from 0.0119 to 0.0527 day??. The second-order rate model, evaluated through regression analysis, provided alternative predictions that also varied with treatment weight. Our findings suggest that the degradation rate constants from this study are consistent with previously reported values, confirming the reliability of these models for TPH degradation prediction. This comparison highlights the applicability of each model for different treatment scenarios, providing insights into the most suitable kinetic model for optimizing bioremediation processes. The study underscores the importance of selecting appropriate kinetic models to enhance the accuracy of TPH degradation predictions and improve soil remediation strategies.},
      keywords = {TPH Degradation, Michaelis-Menten Model, Pennisetum Purpureum, Bioremediation Strategies, Kinetic Models},
      month = {August},
  }