Abstract
In a decade marked by 4.0 technologies, using some of them for the optimization of effluent treatment processes is one of the objectives of the current researchers in this area. In this paper, we present two models as a fuzzy rule-based expert system, utilized in a computer desktop platform “Peroxide 1.0” and a mobile app “Peroxide App.” The objective is to select the best experimental parameters-electrodes type and potential-for the maximization of hydrogen peroxide (H2O2) electrogeneration. In situ H2O2 generation has as an auxiliary function to be used in the advanced oxidative processes for the degradation of persistent organic pollutants and emerging contaminants, which are not treated by traditional chemical and biological processes. For the construction of the proposed software in this study, the data were initially correlated using the MATLAB® platform Fuzzy toolbox, and the expert knowledge and literature were associated by a desktop and mobile knowledge system that weighs the variables according to their impact on the electrogeneration productivity. The desktop end-user interface was coded using Microsoft Visual Studio Rapid Application Development, and the mobile app was developed on the Android platform similar to Peroxide 1.0, adopting the specifics and particularity of the programming system. The developed systems were validated in different laboratory scenarios, and their performance were considered satisfactory, in agreement with the literature. Therefore, it is concluded that the Peroxide 1.0 and Peroxide App models can be a significant contribution to and advance the improvement in the processes for all types of industries that generate chemical effluents and require their treatment based on oxidative processes that use H2O2.
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Notes
The GDE (gas diffusion electrode) was prepared from Printex 6L conductive-carbon black graphitic pigment and 20% PTFE.
The EAQ is the GDE modified with 10% organic redox catalysts (2-ethylanthraquinone because quinones assist in the oxygen reduction reaction and, consequently, in the production of hydrogen peroxide).
The BAQ is the GDE modified with 10% 2-tert-butylanthraquinone.
The ALZ is the GDE modified with 10% alizarin.
The AZO is the GDE modified with 10% azobenzene.
The images used as avatars of the researchers are copyrighted and will be exchanged with original photos when necessary.
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Acknowledgements
This work was supported by the São Paulo Research Foundation—FAPESP [Grant Number: 2016/22115-2] and Brazilian National Council for Scientific and Technological Development—CNPq [Grant Numbers: 402757/2016-5; 307933/2016-4; 421782/2016-1]
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Neto, M.M., Matulovic, M., Novaes, A.K.M. et al. Decision-making desktop software and mobile app for wastewater treatment: selection of experimental parameters to estimate hydrogen peroxide production. Environ Syst Decis 42, 295–305 (2022). https://doi.org/10.1007/s10669-022-09850-6
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DOI: https://doi.org/10.1007/s10669-022-09850-6