scholarly journals Photocatalytic Degradation of AO7 Aqueous Solution Using Ag/CeO2 Catalyst: Modeling of Process Parameters Using Response Surface Methodology

2021 ◽  
Vol 2129 (1) ◽  
pp. 012037
Author(s):  
Zal Helmi Abdul Hamid ◽  
A K Nur Fadzeelah ◽  
Wan Zuraida Wan Kamis ◽  
Siti Sabrina Sukri ◽  
Siti Khatijah Jamaluddin ◽  
...  
Keyword(s):  
Aqueous Solution ◽  
Response Surface Methodology ◽  
Photocatalytic Degradation ◽  
Response Surface ◽  
Process Parameters ◽  
Polynomial Regression ◽  
Uv Light ◽  
Acid Orange 7 ◽  
Determination Coefficient ◽  
Surface Plot

Abstract In the present study, photocatalytic degradation of Acid Orange 7 (AO7) aqueous solution using Ag/CeO2 catalyst with the presence of UV light was evaluated. The effect of process parameters such as pH, initial dye concentration and Ag/CeO2 dosage were investigated using response surface methodology (RSM) based on three levels of Box-Behnken Design. The effect of process parameters and their binary interactions were analyzed using the polynomial regression model. The experimental data and ANOVA analysis showed that the determination coefficient (R2) and adjusted determination coefficient (R2 adj) were 0.9580 and 0.9161, respectively, demonstrated that the model was significant. The response surface plot was successfully established the interaction effect of process parameters on the photocatalytic degradation of AO7 aqueous solution.

Photocatalytic degradation of imidacloprid in soil: application of response surface methodology for the optimization of parameters

RSC Advances ◽  
2015 ◽  
Vol 5 (32) ◽  
pp. 25059-25065 ◽  
Author(s):  
Teena Sharma ◽  
Amrit Pal Toor ◽  
Anita Rajor
Keyword(s):  
Response Surface Methodology ◽  
Photocatalytic Degradation ◽  
Response Surface ◽  
Uv Light ◽  
Inorganic Ions ◽  
Optimization Of Parameters ◽  
Soil Application

The photocatalytic mineralization of imidacloprid (IMI) in soil to inorganic ions and the formation of various intermediates using TiO2 as the photocatalyst have been investigated under UV light.

scholarly journals Preparation of Reed Straw-Based Panels Bonded by Soy-Based Adhesives: Optimization via Response Surface Methodology

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Zhang Yingjie ◽  
Yong Wang ◽  
Wanli Lou ◽  
Dongbin Fan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Hot Pressing ◽  
Polynomial Regression ◽  
Pressing Temperature ◽  
Determination Coefficient ◽  
Average Value ◽  
Reed Straw ◽  
Preparation Conditions ◽  
Pressing Time

The optimization of manufacturing conditions for reed straw-based particleboard by soy-based adhesive was performed through response surface methodology. The interactions of various conditions, including adhesive amount, hot-pressing temperature, and hot-pressing time on wet internal bonding strength were investigated. A 3-level-3-factor Box–Behnken design was used to test the optimal preparation conditions of reed straw particleboard. The polynomial regression model for manufacturing conditions had a very significant level ( p < 0.01 ). In addition, the determination coefficient (R2) and the adjust determination coefficient ( R 2 ) of this model were found to be 0.969 and 0.9292, respectively. The conditions optimized by the model were 25% of adhesive amount, 138°C of hot-pressing temperature, and 27 min of hot-pressing time. Under the optimal conditions, validation tests were performed, and the average value of parallel experiments was 0.17 ± 0.02 MPa. Moreover, the thickness swelling of water absorption after soaking and mechanical properties (MOE and MOR) of samples prepared under optimized conditions were further measured, which all met the requirement of Type P6 particleboard. It could provide an efficient method for massive production of reed straw particleboard.

scholarly journals Ultrasound Assisted Synthesis of Gadolinium Oxide-Zeolitic Imidazolate Framework-8 Nanocomposites and Their Optimization for Photocatalytic Degradation of Methyl Orange Using Response Surface Methodology

Catalysts ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1022
Author(s):  
Su-Gyeong Jeon ◽  
Jeong-Won Ko ◽  
Weon-Bae Ko
Keyword(s):  
Response Surface Methodology ◽  
Methyl Orange ◽  
Photocatalytic Degradation ◽  
Response Surface ◽  
Uv Light ◽  
Gadolinium Oxide ◽  
Experimental Conditions ◽  
Zeolitic Imidazolate Framework ◽  
Vis Spectroscopy ◽  
Ultrasound Assisted

An ultrasound-assisted method was used to prepare gadolinium oxide (Gd2O3)-zeolitic imidazolate framework (ZIF)-8 nanocomposites. The surface morphology, particle size, and properties of the Gd2O3-ZIF-8 nanocomposites were examined using scanning electron microscopy (SEM), X-ray diffraction (XRD), Raman spectroscopy, and ultraviolet-visible (UV-vis) spectroscopy. The synthesized Gd2O3-ZIF-8 nanocomposites were used as a catalyst to degrade methyl orange (MO) under UV light irradiation at 254 nm. The color of the aqueous MO dye solution during photocatalytic degradation was examined using color spectroscopy. Response surface methodology (RSM) using a four-factor Box-Behnken design (BBD) was used to design the experiments and optimize the photocatalytic degradation of MO. The significance of the experimental factors and their interactions were determined using analysis of variance (ANOVA). The efficiency of Gd2O3-ZIF-8 nanocomposites for the photocatalytic degradation of MO reached 98.05% within 40 min under UV irradiation at 254 nm under the experimental conditions of pH 3.3, 0.4 g/L catalyst dose, 0.0630 mM MO concentration, and 431.79 mg/L H2O2 concentration. The kinetics study showed that the MO photocatalytic degradation followed a pseudo-first-order reaction rate law.

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