Photocatalytic oxidation of treated municipal wastewaters for the removal of phenolic compounds: optimization and modeling using response surface methodology (RSM) and artificial neural networks (ANNs)

Abstract

BACKGROUND: TiO 2 heterogeneous photocatalysis should be optimized before application for the removal of pollutants in treated wastewaters. The response surface methodology (RSM) and artificial neural networks (ANNs) were applied to model and optimize the photocatalytic degradation of total phenolic (TPh) compounds in real secondary and tertiary treated municipal wastewaters.

Photocatalytic degradation of pentachlorophenol by visible light Ν–F–TiO2 in the presence of oxalate ions: optimization, modeling, and scavenging studies

“…Although, the conventional one-factor-at-a-time optimization technique, changing one factor at a time by keeping the other factors constant, has been widely used in process optimization, it is time consuming and expensive, particularly for multivariable systems, without including interactive effects between factors (Antonopoulou et al 2012a;Lin et al 2009). Response surface methodology (RSM) based on a central composite design (CCD) has been successfully used to model and optimize the photocatalytic process, minimizing simultaneously the number of experiments required for the selected response that can overcome the limitations of a onefactor-at-a-time approach by a collection of mathematical and statistical techniques (Antonopoulou et al 2012a;Lin et al 2009;Tzikalos et al 2013;Xu et al 2014).…”

“…Response surface methodology (RSM) based on a central composite design (CCD) has been successfully used to model and optimize the photocatalytic process, minimizing simultaneously the number of experiments required for the selected response that can overcome the limitations of a onefactor-at-a-time approach by a collection of mathematical and statistical techniques (Antonopoulou et al 2012a;Lin et al 2009;Tzikalos et al 2013;Xu et al 2014).…”

“…Driven mainly by HO · radicals, generated when the semiconductor is exposed to ultraviolet (UV) and/or solar irradiation, photocatalytic process employing TiO 2 , a representative advanced oxidation process (AOP), is considered as a promising method for degradation of non biodegradable and/or toxic organic compounds due to its ability to achieve complete oxidation of the organic pollutants (Konstantinou and Albanis 2004;Antonopoulou et al 2012a). In earlier studies, PCP degradation has been investigated by means of UVand natural solar irradiation over TiO 2 suspensions (Minero et al 1993;Mills and Hoffmann 1993;Jardim et al 1997).…”

Comparative study on the predictability of statistical models (RSM and ANN) on the behavior of optimized buccoadhesive wafers containing Loratadine and their in vivo assessment

“…where y is the predicted response, is the b0 constant term, bi represents the coefficients of the linear parameters, Xi represents the variables and " is the random error (Antonopoulou et al, 2008).…”

Optimization of Microwave-Hydrogen Peroxide Pretreatment of Cellulose

“…Therefore, RSM has been employed in many studies as a powerful tool to explore the interactions among multiple factors. Predictive models, which are the most representative, have been used to analyze and optimize the operation parameters in many fields, including chemical (Adalarasan et al 2015), medical (Chojnicka-Paszun and de Jongh 2014), and energy (Antonopoulou et al 2012;Chen et al 2012). This process could result in the development of desirable responses and reduce the number of experiments required.…”