The analysis, published in Discover Chemical Engineering, compares ozonation and catalytic ozonation with the Fenton process as a representative advanced oxidation process, and uses response surface methodology to distil generalized optimization trends from the published literature.
The study was motivated by a practical problem: industrial effluents are complex mixtures of dyes, inorganic ions and organic constituents, which makes it difficult to identify the critical parameters governing treatment efficiency. Rather than running new experiments, the authors strategically analysed the available literature on ozonation and catalytic ozonation, with the Fenton process included for comparative evaluation of optimization strategies for dye-containing wastewater.
Response surface methodology, a statistical technique for evaluating the effects of multiple variables simultaneously, was applied to published optimization studies. The parameters examined included initial dye concentration, pH, temperature, ozone dose or concentration, catalyst dose, hydrogen peroxide concentration and contact time. For each parameter, the analysis identified the optimum operating ranges reported across the compiled studies.
The statistical interpretation pointed to a clear hierarchy of influence. For ozonation, the initial concentration of the pollutant and the ozone dose emerged as the governing parameters of performance. In catalytic ozonation, the catalyst dose had a significant impact on treatment outcomes. For the Fenton process, the concentration of hydrogen peroxide was the most significant operating parameter. According to the authors, the compiled literature and its statistical interpretation provide a generalized understanding of how optimization behaves in these oxidation processes and indicate which operating variables most influence pollutant removal.
The authors position the results as a reference for future laboratory and pilot-scale optimization studies, and suggest the work may support the development of more efficient and sustainable wastewater treatment processes. They are explicit about the limits of the analysis, however: the observed optimization trends should be considered preliminary guidelines, and further validation is required with real industrial wastewater under practical operating conditions.
By ranking the sensitivity of each process to its key variables, the review offers a starting point for researchers designing their own optimization experiments, helping them prioritize which factors to control and vary first when treating dye-laden effluents.
The article is published as open access and is currently shared as an accepted manuscript, citable under a permanent DOI, with the final version of record to follow after further edits. The study was authored by Snigdha Khuntia, Arunima Singh and Manisha Wakle, with Manish Kumar Sinha as a co-author.
Subject of Research: Process optimization of ozone-based advanced oxidation processes for dye-containing wastewater treatment
Article Title: A detailed analysis of process optimization for ozone-based processes for water treatment
Article References: Khuntia, S., Singh, A., Wakle, M., & Sinha, M. K. (2026). A detailed analysis of process optimization for ozone-based processes for water treatment. Discover Chemical Engineering. https://doi.org/10.1007/s43938-026-00139-7
Image Credits: AI Generated
DOI: 10.1007/s43938-026-00139-7
Keywords: ozonation, catalytic ozonation, Fenton process, advanced oxidation processes, dye wastewater, response surface methodology, process optimization, ozone dose, catalyst dose, hydrogen peroxide, industrial effluents, water treatment
News Source: Bethany Barker. (October 29, 2026). Ozone, catalysts and hydrogen peroxide: what really drives dye wastewater treatment. Scienmag.
