Experimental Scale Photocatalytic Oxidation SO2 from Simulated Flue Gas in the Presence of Mn/Copper Slag as a Novel Nanocatalyst: Optimizations by Hybrid Box-Behnken Experimental Design and Genetic Algorithm

Rabiee, Fattah; Mahanpoor, Kazem

doi:10.1134/s1070427218040237

Cited by 4 publications

(2 citation statements)

References 35 publications

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“…It was worthy to note that each solution is expensive. Hence, an innovative approach is required (Moors et al 2017 ; Wang et al 2017 ; Rabiee and Mahanpoor 2018 ). Today, the catalysts possessing large surface area have been progressed to become one of the most important branches of advanced materials, organic chemistry, and nanotechnology.…”

Section: Introductionmentioning

confidence: 99%

Nano Pt/TiO2 photocatalyst for ultrafast production of sulfamic acid derivatives using 4-nitroacetanilides as nitrogen precursor in continuous flow reactors

Mohamed¹,

Attia²

2023

Environ Sci Pollut Res

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The design of reactors based on high performance photocatalysts is an important research in catalytic hydrogenation. In this work, modification of titanium dioxide nanoparticles (TiO2 NPs) was achieved by preparation of Pt/TiO2 nanocomposites (NCs) through photo-deposition method. Both nanocatalysts were used for the photocatalytic removal of SOx from the flue gas at room temperature in the presence of hydrogen peroxide, water, and nitroacetanilide derivatives under visible light irradiation. In this approach, chemical deSOx was achieved along with protection of the nanocatalyst from sulfur poising through the interaction of the released SOx from SOx-Pt/TiO2 surface with p-nitroacetanilide derivatives to produce simultaneous aromatic sulfonic acids. Pt/TiO2 NCs have a bandgap of 2.64 eV in visible light range, which is lower than the bandgap of TiO2 NPs, whereas TiO2 NPs have a mean size of 4 nm and a high specific surface area of 226 m2/g. Pt/TiO2 NCs showed high photocatalytic sulfonation of some phenolic compounds using SO2 as a sulfonating agent along with the existence of p-nitroactanilide derivatives. The conversion of p-nitroacetanilide followed the combination processes of adsorption and catalytic oxidation–reduction reactions. Construction of an online continuous flow reactor–high-resolution time-of-flight mass spectrometry system had been investigated, realizing real-time and automatic monitoring of completion the reaction. 4-nitroacetanilide derivatives (1a-1e) was converted to its corresponding sulfamic acid derivatives (2a–2e) in 93–99% isolated yields of within 60 s. It is expected to offer a great opportunity for ultrafast detection of pharmacophores.

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Section: Introductionmentioning

confidence: 99%

Nano Pt/TiO2 photocatalyst for ultrafast production of sulfamic acid derivatives using 4-nitroacetanilides as nitrogen precursor in continuous flow reactors

Mohamed¹,

Attia²

2023

Environ Sci Pollut Res

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“…When hunting, whales surround their prey and update their position by surrounding their prey, as follows: The error between the predicted degradation percentage of TC by the artificial neural network model optimized by a genetic algorithm and the experimental value is only 1.02%. Gradually, artificial neural network models optimized by genetic algorithms are widely used to predict the photocatalytic performance of photocatalysts [75][76][77].…”

Section: Neural Network Model Optimized By Whale Algorithmmentioning

confidence: 99%

Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction

Wang,

Mo,

et al. 2024

Catalysts

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Photocatalysts have made great contributions to the degradation of pollutants to achieve environmental purification. The traditional method of developing new photocatalysts is to design and perform a large number of experiments to continuously try to obtain efficient photocatalysts that can degrade pollutants, which is time-consuming, costly, and does not necessarily achieve the best performance of the photocatalyst. The rapid development of photocatalysis has been accelerated by the rapid development of artificial intelligence. Intelligent algorithms can be utilized to design photocatalysts and predict photocatalytic performance, resulting in a reduction in development time and the cost of new catalysts. In this paper, the intelligent algorithms for photocatalyst design and photocatalytic performance prediction are reviewed, especially the artificial neural network model and the model optimized by an intelligent algorithm. A detailed discussion is given on the advantages and disadvantages of the neural network model, as well as its application in photocatalysis optimized by intelligent algorithms. The use of intelligent algorithms in photocatalysis is challenging and long term due to the lack of suitable neural network models for predicting the photocatalytic performance of photocatalysts. The prediction of photocatalytic performance of photocatalysts can be aided by the combination of various intelligent optimization algorithms and neural network models, but it is only useful in the early stages. Intelligent algorithms can be used to design photocatalysts and predict their photocatalytic performance, which is a promising technology.

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An efficient approach to utilize copper smelting slag: Separating nonferrous metals and reducing iron oxide at high temperature

Wu,

Li,

Liu

et al. 2023

Waste Management

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Experimental Scale Photocatalytic Oxidation SO2 from Simulated Flue Gas in the Presence of Mn/Copper Slag as a Novel Nanocatalyst: Optimizations by Hybrid Box-Behnken Experimental Design and Genetic Algorithm

Cited by 4 publications

References 35 publications

Nano Pt/TiO2 photocatalyst for ultrafast production of sulfamic acid derivatives using 4-nitroacetanilides as nitrogen precursor in continuous flow reactors

Nano Pt/TiO2 photocatalyst for ultrafast production of sulfamic acid derivatives using 4-nitroacetanilides as nitrogen precursor in continuous flow reactors

Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction

An efficient approach to utilize copper smelting slag: Separating nonferrous metals and reducing iron oxide at high temperature

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