Visible‐light‐driven photocatalytic degradation of fenpyroximate in rotating packed bed reactor using Fe₃O₄@PbS@Ni₂P magnetic nanocomposite photocatalyst: Response surface modelling and optimization

Abstract

A highly efficient rotating packed bed photocatalytic reactor based on Fe3O4@PbS@Ni2P composite for the degradation of fenpyroximate (FP) as an acaricide in agriculture is described. The visible‐light‐driven photocatalyst was characterized using various techniques. The interaction of operational parameters consisting of rotational speed (400–1200 rpm), photocatalyst dosage (0.20–0.40 g l−1), solution flow rate (0.10–0.50 l min−1), aeration rate (15–35 l min−1), FP initial concentration (5–45 mg l−1), pH (2–10) and irradiation time (20–100 min) for FP degradation was examined via central composite design under response surface methodology. Accordingly, under the suggested optimum conditions, namely rotational speed of 950 rpm, Fe3O4@PbS@Ni2P dosage of 0.30 g l−1, solution flow rate of 0.30 l min−1, aeration rate of 25 l min−1, pH of 6.0 and irradiation time of 85 min, more than 99% of 45 mg l−1 FP was degraded. The Langmuir–Hinshelwood kinetic model was the best equation for the description of the experimental data. According to the rate constant, the contribution of photocatalytic degradation, adsorption and photolysis to the reduction of FP concentration and, subsequently, the efficiency of water treatment were studied.

Development of Cigarette Carbonaceous Hydrochar/ZIF-67-Based Fluids for CO2 Capture from a Gas Stream in a Packed Column: Mass-Transfer Performance Evaluation

“…43 The statistical significance of the obtained model was appraised through the analysis of variance (ANOVA) via a comprehensive collection of mathematical and statistical tests including F-value, Pvalue, lack of fit, the regression correlation squared (R 2 ), adjusted Rsquared (R adj 2 ), predicted R-squared (R pred 2 ), and the predicted residual error sum of squares (PRESS). 44,45 Eventually, the justified model was employed for providing 3D response surface plots and evaluation of the interactions among the operational parameters. cm −1 , C−O vibration at 1380 cm −1 , and CO peak at 1710 cm −1 .…”

High Performance Magnetically Separable G‐C3N4/γ‐Fe2O3/TiO2 Nanocomposite with Boosted Photocatalytic Capability towards the Cefixime Trihydrate Degradation under Visible‐Light

“…[62] In the ANOVA analysis, when the data related to the p-value was determined to be lower than 0.05, the fitted model would be proper for predicting the photocatalytic degradation process at a confidence level of 95 %. [63,64] Furthermore, the lack-of fit (LOF) of the model should be insignificant to well represent the high performance of the model for providing reasonable data. [63,64] Accordingly, the designated data to the p-value and LOF amount in Table 3, clearly revealed that the designed in which, parameters with a positive sign (+) and a negative sign (À ) have a positive and negative influence on the CEF photocatalytic degradation process, respectively.…”

“…The high value of R 2 (0.9996) and the adjusted R 2 (0.9992), and their closeness to 1.0 shows a very reasonable agreement between the observed results and the predicted ones. [64] To obtain further insight into the accuracy of the model in the CEF degradation process, the predicted values obtained from the respective model versus the measured experimental data (actual values) are depicted in Figure 11a. As it is apparent, the predicted data are entirely close to the experimental ones, which successfully confirmed that the actual values are well agreed with the predicted results, in accordance with the proposed polynomial equation.…”