Artificial neural network modeling of photocatalytic degradation of pollutants : a review of photocatalyst, optimum parameters and model topology

Das, Susmita (avtor), Moon, Snehal (avtor), Kaur, Ramanpreet (avtor), Sharma, Gaurav (avtor), Kumar, Praveen (avtor), Lavrenčič Štangar, Urška (avtor)

In the modern world, wastewater treatment is a critical responsibility for both residential and commercial processes. This article compiled and discussed the photocatalytic degradation of organic pollutants or substances of concern using advanced oxidation processes and various catalysts with reaction conditions and environmental effects. Artificial neural networks (ANN) are also widely used to predict pollutant degradation because they can model nonlinear processes in a time- and cost-efficient manner. This study discusses the different forms of ANNs such as single-layer perceptron (SLP), multi-layer perceptron (MLP), radial basis function (rbf) and recurrent neural networks (RNN) used for predicting the degradation efficiency of the photocatalyst in the given reaction conditions for pollutant removal in textile wastewater treatment. More importantly, this article provides the critical review of the photocatalyst used, the degraded pollutant, the training algorithm, and topology of the ANN model used, as well as the input and output parameters, with a focus on the most influential parameter in the photocatalytic degradation process. This review article aims to provide the reader with a better understanding of the ANN model and its application in the field of photocatalytic degradation process optimization and sensitivity analysis of various process parameters on the degradation rate.

• Jezik: Angleški jezik
• Ključne besede: artificial neural network, photocatalytic reaction, pollutants degradation, wastewater treatment
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.02 - Pregledni znanstveni članek
• Organizacija: FKKT - Fakulteta za kemijo in kemijsko tehnologijo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2024
• Št. strani: 35 str.
• Številčenje: Vol. , iss.
• PID: 20.500.12556/RUL-155802
• UDK: 544.526.5:628.3
• ISSN pri članku: 0161-4940
• DOI: 10.1080/01614940.2024.2338131
• COBISS.SI-ID: 192168707
• Datum objave v RUL: 18.04.2024

Gradivo je del revije

• Naslov: Catalysis reviews: science and engineering
• Skrajšan naslov: Catal. rev., Sci. eng.
• Založnik: Taylor & Francis
• ISSN: 0161-4940
• COBISS.SI-ID: 5817863

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: umetna nevronska mreža, fotokatalitske reakcije, razgradnja onesnaževal, čiščenje odpadnih vod