Analytical Solutions of Chemical Reaction Kinetic Models Through Integral Transform Techniques

Authors

  • Pshtiwan Salim Mohammed Department of Chemistry, College of Science, Charmo University, Chamchamal, Sulaymaniyah 46023, Iraq
  • Hozan Hilmi Department of Mathematics, College of Science, University of Sulaimani, Sulaymaniyah 46001, Iraq.
  • Shwan Swara Fatah Department of Software Engineering, College of Engineering and Computation Science, Charmo University Chamchamal, Sulaymaniyah 46023, Iraq
  • Bryar Khdhir Abas Department of Mathematics, College of Science, University of Sulaimani, Sulaymaniyah 46001, Iraq

DOI:

https://doi.org/10.56714/bjrs.52.1.10

Keywords:

Chemical Science;, HK transform;, Mathematical Modelling;, Chemical Reaction Kinetic;, Chemical Mixture.

Abstract

Experts in mathematical modeling are currently using integral transforms to model many scientific phenomena. In this sense, the current work evaluates the success rate of the HK transform relative to the well-known Laplace transform by examining how it can be used to solve differential equations describing chemical processes. A first-order differential equation representing chemical reaction and diffusion models was used to demonstrate the HK transform's ability to simplify calculations and yield exact analytical solutions. The same method was then applied to a model that generated component diffusion in a reactive medium with a time-dependent coefficient, demonstrating the transform's ability in handling various coefficients. Lastly, the study examined a single step reversible chemical process represented by a second-order differential equation, and the outcomes of the Laplace and HK transforms were contrasted. The comparison established the HK transform as a trustworthy substitute mathematical tool for modeling and studying a variety of chemical systems by confirming that both transformations provide com-parable accuracy and efficacy.

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Published

30-06-2026

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How to Cite

Analytical Solutions of Chemical Reaction Kinetic Models Through Integral Transform Techniques. (2026). Journal of Basrah Researches (Sciences), 52(1), 123-134. https://doi.org/10.56714/bjrs.52.1.10