In-situ constructing an innovative and versatile nanotraps for incorporation of zero–valent iron nanoparticles into zeolite imidazole framework–8 towards high efficient detoxification and imprisonment of U(VI) and Se(IV) from water via a combination study of capture performance and underlying mechanism aspects

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 494, P. 153032 - 153032

Published: June 11, 2024

Language: Английский

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Nanoscale Fe(0)–Zeolite composite derived from coal bottom ash for efficient treatment of Cr(VI)-contaminated groundwater: Unveiling the importance of locations for surface-bound Fe(II) and Fe(0) passivation products

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 487, P. 137284 - 137284

Published: Jan. 20, 2025

Language: Английский

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Analysis of Response Surface and Artificial Neural Network for Cr(Ⅵ) Removal Column Experiment

Water, Journal Year: 2025, Volume and Issue: 17(8), P. 1211 - 1211

Published: April 18, 2025

In this study, inexpensive, environmentally friendly, and biodegradable cellulose filter paper was used to load nano zero-valent iron (nZVI), effectively improving the dispersibility of nZVI successfully preparing supported modified (FP-nZVI). Subsequently, capacity FP-nZVI remove Cr(VI) in a flow system explored. characterized by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD). Traditional single-factor experiments often require large number repeated when analyzing interactions among multiple variables, resulting long experimental cycle high consumption materials. This research Response Surface Methodology (RSM) based on Box-Behnken Design (BBD) Artificial Neural Network (ANN) optimize predict removal process Cr(VI). RSM investigated between response variable (Cr(VI) rate) independent variables concentration, pH value, rate). A highly significant quadratic regression model constructed, which proven F value (93.92), an extremely low p-value (<0.0001), determination coefficient (R2 = 0.9918). An ANN established forecast correlation rate Both models demonstrate remarkable consistency with data; however, from perspective statistical parameters, has more advantages; R2 reaches 0.9937, is higher than that (0.9918); values indicators such as MSE, RMSE, MAE, MAPE, AAD, SEP are all smaller those RSM. The exhibits greater excellence prediction error, fluctuation, closeness actual excellent ability. experiment for treating optimized, achieving good results. Meanwhile, it also provides valuable reference similar studies.

Language: Английский

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Evaluating nickel removal efficacy of Filtralite under laboratory conditions: Implications for sustainable urban drainage systems

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 63, P. 105416 - 105416

Published: May 9, 2024

Language: Английский

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Insights into micro-and nano-zero valent iron materials: synthesis methods and multifaceted applications

RSC Advances, Journal Year: 2024, Volume and Issue: 14(41), P. 30411 - 30439

Published: Jan. 1, 2024

The growing threat of environmental pollution to global health necessitates a focus on the search for sustainable wastewater remediation materials coupled with innovative strategies.

Language: Английский

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Batch and Column Adsorption of Hexavalent Chromium on Household Filter Waste Activated Charcoal (HFWAC)

Springer proceedings in earth and environmental sciences, Journal Year: 2024, Volume and Issue: unknown, P. 137 - 149

Published: Jan. 1, 2024

Language: Английский

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Kapok fibers modified with cationic surfactants: Structural insights and efficient removal of Cr(VI) and bisphenol A

Journal of Colloid and Interface Science, Journal Year: 2024, Volume and Issue: 683, P. 1119 - 1134

Published: Dec. 20, 2024

Language: Английский

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