TY - JOUR

T1 - Modeling the degradation and disinfection of water pollutants by photocatalysts and composites

T2 - A critical review

AU - Ateia, Mohamed

AU - Alalm, Mohamed Gar

AU - Awfa, Dion

AU - Johnson, Matthew S.

AU - Yoshimura, Chihiro

PY - 2020

Y1 - 2020

N2 - Recently, a series of new photocatalysts have been developed for to combat diverse bio-recalcitrant contaminants and the inactivation of bacteria. Modeling photocatalytic processes is important to assess these materials, and to understand and optimize their performance. In this study, the recent literature is critically reviewed and analyzed to identify and compare methods of modeling photocatalytic performance. The Langmuir–Hinshelwood model (L-H) has been used in many studies to rationalize the degradation kinetics of single contaminants because it is the simplest model including both the adsorption equilibrium and degradation rates. Other studies report the development of more sophisticated variants of the L-H model that include the rates of catalyst excitation, recombination of electron-hole pairs, production of reactive oxygen species (ROS), and formation of by-products. Modified Chick-Watson (C[sbnd]W) and Hom models have been used by many researchers to include lag phases of bacteria in the description of disinfection kinetics. Artificial neural networks (ANNs) have been used to analyze the effects of operational conditions on photocatalyst performance. Moreover, response surface methodology (RSM) has been employed for experimental design, and optimization of operational conditions. We have reviewed and analyzed all available articles that model photocatalytic activity towards water pollution, summarized and put them in context, and recommended future research directions.

AB - Recently, a series of new photocatalysts have been developed for to combat diverse bio-recalcitrant contaminants and the inactivation of bacteria. Modeling photocatalytic processes is important to assess these materials, and to understand and optimize their performance. In this study, the recent literature is critically reviewed and analyzed to identify and compare methods of modeling photocatalytic performance. The Langmuir–Hinshelwood model (L-H) has been used in many studies to rationalize the degradation kinetics of single contaminants because it is the simplest model including both the adsorption equilibrium and degradation rates. Other studies report the development of more sophisticated variants of the L-H model that include the rates of catalyst excitation, recombination of electron-hole pairs, production of reactive oxygen species (ROS), and formation of by-products. Modified Chick-Watson (C[sbnd]W) and Hom models have been used by many researchers to include lag phases of bacteria in the description of disinfection kinetics. Artificial neural networks (ANNs) have been used to analyze the effects of operational conditions on photocatalyst performance. Moreover, response surface methodology (RSM) has been employed for experimental design, and optimization of operational conditions. We have reviewed and analyzed all available articles that model photocatalytic activity towards water pollution, summarized and put them in context, and recommended future research directions.

KW - Artificial neural network (ANN)

KW - Disinfection

KW - Kinetic models

KW - Photocatalysis

KW - Pollutants degradation

KW - Response surface methodology (RSM)

U2 - 10.1016/j.scitotenv.2019.134197

DO - 10.1016/j.scitotenv.2019.134197

M3 - Review

C2 - 31494425

AN - SCOPUS:85071717565

VL - 698

SP - 1

EP - 16

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

M1 - 134197

ER -