Intensified photo-decontamination of tetracycline antibiotic by S-scheme spinel manganese ferrite-grafted ZIF-8 heterojunction photocatalyst: Mechanism conception, degradation pathway and DFT studies

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(3), P. 112875 - 112875

Published: April 30, 2024

Language: Английский

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Artificial Neural Network Modeling for the Prediction, Estimation, and Treatment of Diverse Wastewaters: A Comprehensive Review and Future Perspective

Chemosphere, Journal Year: 2024, Volume and Issue: 362, P. 142860 - 142860

Published: July 15, 2024

Language: Английский

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Efficient removal of ciprofloxacin and ofloxacin from aqueous solutions using a novel nano-scale adsorbent: Modeling, optimization, and characterization

Chemosphere, Journal Year: 2024, Volume and Issue: 354, P. 141640 - 141640

Published: March 14, 2024

Language: Английский

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Modeling the adsorption of ibuprofen on the Zn-decorated S,P,B co-doped C2N nanosheet: Machine learning and central composite design approaches

Journal of Industrial and Engineering Chemistry, Journal Year: 2024, Volume and Issue: 137, P. 583 - 592

Published: April 4, 2024

Language: Английский

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Status and future trends in wastewater management strategies using artificial intelligence and machine learning techniques

Chemosphere, Journal Year: 2024, Volume and Issue: 362, P. 142477 - 142477

Published: June 4, 2024

Language: Английский

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A green and economically efficient adsorbent made by longan seed for the treatment of fluoroquinolone antibiotics in water

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 467, P. 142954 - 142954

Published: June 20, 2024

Language: Английский

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Artificial intelligence based detection and control strategies for river water pollution: A comprehensive review

Journal of Contaminant Hydrology, Journal Year: 2025, Volume and Issue: 271, P. 104541 - 104541

Published: March 17, 2025

Language: Английский

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Applications of artificial intelligence for chemical analysis and monitoring of pharmaceutical and personal care products in water and wastewater: A review

Chemosphere, Journal Year: 2024, Volume and Issue: 368, P. 143692 - 143692

Published: Nov. 1, 2024

Specifying and interpreting the occurrence of emerging pollutants is essential for assessing treatment processes plants, conducting wastewater-based epidemiology, advancing environmental toxicology research. In recent years, artificial intelligence (AI) has been increasingly applied to enhance chemical analysis monitoring contaminants in water wastewater. However, their specific roles targeting pharmaceuticals personal care products (PPCPs) have not reviewed sufficiently. This review aims narrow gap by highlighting, scoping, discussing incorporation AI during detection quantification PPCPs when utilising equipment data first time. PPCPs, AI-assisted prediction chromatographic retention times collision cross-sections (CCS) suspect non-target screenings using high-resolution mass spectrometry (HRMS) enhances confidence, reduces time, lowers costs. also aids spectroscopic results. this approach still cannot be all matrices, as it offers lower sensitivity than liquid chromatography coupled with tandem or HRMS. For interpretation unsupervised methods recently presented capacity survey regional national community health socioeconomic factors. Nevertheless, a challenge, long-term sources are given literature, more comparative studies needed both monitoring. Finally, assistance anticipates frequent applications CCS confidence use processing epidemiology surveillance.

Language: Английский

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Nano‐Enhanced Water Purification: Uncovering the Dye Adsorption Efficiency of Ni‐Zn‐S@Cyclodextrine Nanomaterial

ChemistrySelect, Journal Year: 2024, Volume and Issue: 9(33)

Published: Aug. 28, 2024

Abstract This research investigates the synthesis of a hybrid nanomaterial, denoted as Ni‐Zn−S@Cyclodextrine, through cost‐effective and easy co‐precipitation method. The resulting nanomaterial has been thoroughly characterized applied for adsorptive removal Crystal violet Congo red dyes from their solutions. study delves into thermodynamics kinetics sorption process, well helps to propose adsorption mechanism both onto Ni‐Zn−S@Cyclodextrine surface. A comprehensive analysis, encompassing techniques, such XRD, FTIR, SEM‐EDX, TEM, TGA, Zeta potential, XPS, have conducted explore structural morphological attributes prepared nanomaterial. Furthermore, key parameters, including adsorbent's dosage, temperature, contact time, solution pH, systematically optimized achieve maximum efficiency. TEM images indicated particle size ranging between 60–80 nm. Moreover, it exhibited strong affinity dyes, with capacity 138.20 mgg −1 129.95 at 303 K. process an endothermic spontaneous nature. Isotherm studies revealed that data best aligned Freundlich isotherm, while reaction adhered pseudo‐second order within investigated temperature range.

Language: Английский

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Influence of porous aluminosilicate grain size materials in experimental and modelling Cs+ adsorption kinetics and wastewater column process

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 66, P. 106066 - 106066

Published: Sept. 1, 2024

Language: Английский

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