Decolorization of Azo Dye Solution by Ozone Based Advanced Oxidation Processes: Optimization Using Response Surface Methodology and Neural Network

Rekhate, Chhaya V.; Shrivastava, Jaya

doi:10.1080/01919512.2020.1714426

Cited by 37 publications

(5 citation statements)

References 24 publications

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“…However, when the pH is more than 8, this eventually hampers the process with the decay of ozone half-lives (Gardoni et al, 2012). Furthermore, we consider that our UV in the AOP-Ozone combination promotes the chemical breakdown of organic pollutants, as previously described by Rekhate et al (Rekhate and Shrivastava, 2020) and Wu et al (Wu, 2008).…”

Section: Figurementioning

confidence: 68%

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Combination of ozone-based advanced oxidation process and nanobubbles generation toward textile wastewater recovery

Hutagalung

Rafryanto²,

Sun

et al. 2023

Front. Environ. Sci.

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The intricate nature of various textile manufacturing processes introduces colored dyes, surfactants, and toxic chemicals that have been harmful to ecosystems in recent years. Here, a combination ozone-based advanced oxidation process (AOP) is coupled with a nanobubbles generator for the generation of ozone nanobubbles (NB) utilized the same to treat the primary effluent acquired from textile wastewaters. Here we find several key parameters such as chemical oxygen demand ammonia content (NH3), and total suspended solids indicating a substantial recovery in which the respective percentages of 81.1%, 30.81%, and 41.98%, upon 300 min residence time are achieved. On the other hand, the pH is shifted from 7.93 to 7.46, indicating the generation of hydrogen peroxide (H2O2) due to the termination reaction and the self-reaction of reactive oxygen species (ROS). We propose that the reactive oxygen species can be identified from the negative zeta potential measurement (−22.43 ± 0.34 mV) collected in the final state of treatment. The combined method has successfully generated ozone nanobubbles with 99.94% of size distributed in 216.9 nm. This highlights that enhancement of ozone’s reactivity plays a crucial role in improving the water quality of textile wastewater towards being technologically efficient to date.

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Section: Figurementioning

confidence: 68%

“…Frontiers in Environmental Science frontiersin.org transfers one electron, the COD value may be determined using the following equation (Rekhate and Shrivastava, 2020).…”

Section: Figurementioning

confidence: 99%

Combination of ozone-based advanced oxidation process and nanobubbles generation toward textile wastewater recovery

Hutagalung

Rafryanto²,

Sun

et al. 2023

Front. Environ. Sci.

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“…Such a rigorous approach to modelling the kinetics of the decolorization process is rarely found in the literature. The decolorization rate mostly follows pseudo-first order kinetics with respect to dye concentration, e.g., Yang and Yuan [ 166 ] and Rekhate and Shrivastava [ 167 ], or very rarely an irreversible second order reaction e.g., Zhang et al [ 168 ], who applied Danckwerts surface renewal theory to specify the gas–liquid mass transfer of gaseous O 3 and to determine the second order reaction rate constant. In order to avoid O 3 mass transfer limitation, Bilińska et al [ 169 ] investigated the kinetics of Reactive Black 5 (RB5) ozonation in a liquid–liquid system (gaseous O 3 was previously absorbed in water) under acidic solution (pH 1.88–6.1).…”

Section: Mechanism and Kinetics Of Aopsmentioning

confidence: 99%

Recent Achievements in Dyes Removal Focused on Advanced Oxidation Processes Integrated with Biological Methods

2021

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In the last 3 years alone, over 10,000 publications have appeared on the topic of dye removal, including over 300 reviews. Thus, the topic is very relevant, although there are few articles on the practical applications on an industrial scale of the results obtained in research laboratories. Therefore, in this review, we focus on advanced oxidation methods integrated with biological methods, widely recognized as highly efficient treatments for recalcitrant wastewater, that have the best chance of industrial application. It is extremely important to know all the phenomena and mechanisms that occur during the process of removing dyestuffs and the products of their degradation from wastewater to prevent their penetration into drinking water sources. Therefore, particular attention is paid to understanding the mechanisms of both chemical and biological degradation of dyes, and the kinetics of these processes, which are important from a design point of view, as well as the performance and implementation of these operations on a larger scale.

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“…34 Numerous studies have been reported on the successful applicability of response surface methodology (RSM), artificial neural network (ANN), and adaptive neurofuzzy inference system (ANFIS)-based modeling in predicting yields in chemical reactions. Rekhate and Shrivastava 35 applied RSM and ANN in forecasting the oxidation of acidic black azo dye using O 3 , O 3 /UV, and O 3 /Fe(II) oxidation processes. With the aid of a UV−vis spectrophotometer, the decolorization process was ascertained in their investigation by measuring the dye's absorption wavelength.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Benzyl Alcohol Oxidation with tert-Butyl Hydroperoxide to Benzaldehyde Using the Response Surface Methodology, Artificial Neural Network, and Adaptive Neuro-Fuzzy Inference System Model

Emeji,

Kumi,

Meijboom

2024

ACS Omega

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The adaptive neuro-fuzzy inference system (ANFIS), central composite experimental design (CCD)-response surface methodology (RSM), and artificial neural network (ANN) are used to model the oxidation of benzyl alcohol using the tert-butyl hydroperoxide (TBHP) oxidant to selectively yield benzaldehyde over a mesoporous ceria-zirconia catalyst. Characterization reveals that the produced catalyst has hysteresis loops, a sponge-like structure, and structurally induced reactivity. Three independent variables were taken into consideration while analyzing the ANN, RSM, and ANFIS models: the amount of catalyst (A), reaction temperature (B), and reaction time (C). With the application of optimum conditions, along with a constant (45 mmol) TBHP oxidant amount, (30 mmol) benzyl alcohol amount, and rigorous refluxing of 450 rpm, a maximum optimal benzaldehyde yield of 98.4% was obtained. To examine the acceptability of the models, further sensitivity studies including statistical error functions, analysis of variance (ANOVA) results, and the lack-of-fit test, among others, were employed. The obtained results show that the ANFIS model is the most suited to predicting benzaldehyde yield, followed by RSM. Green chemistry matrix calculations for the reaction reveal lower values of the E-factor (1.57), mass intensity (MI, 2.57), and mass productivity (MP, 38%), which are highly desirable for green and sustainable reactions. Therefore, utilizing a ceria-zirconia catalyst synthesized via the inverse micelle method for the oxidation of benzyl alcohol provides a green and sustainable methodology for the synthesis of benzaldehyde under mild conditions.

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Decolorization of Azo Dye Solution by Ozone Based Advanced Oxidation Processes: Optimization Using Response Surface Methodology and Neural Network

Cited by 37 publications

References 24 publications

Combination of ozone-based advanced oxidation process and nanobubbles generation toward textile wastewater recovery

Combination of ozone-based advanced oxidation process and nanobubbles generation toward textile wastewater recovery

Recent Achievements in Dyes Removal Focused on Advanced Oxidation Processes Integrated with Biological Methods

Performance Evaluation of Benzyl Alcohol Oxidation with tert-Butyl Hydroperoxide to Benzaldehyde Using the Response Surface Methodology, Artificial Neural Network, and Adaptive Neuro-Fuzzy Inference System Model

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