Microwave assisted green synthesis of silver nanoparticles using Trigonella Hamosa L.plant extract for the photodegradation of some water pollutants. [PDF]
Rashed MN, Abdelrady E, Ghabrial TM.
europepmc +1 more source
One-Step Synthesis of Nitrogen-Doped Porous Biochar Based on N-Doping Co-Activation Method and Its Application in Water Pollutants Control. [PDF]
Su Y, Shi Y, Jiang M, Chen S.
europepmc +1 more source
TiO2 functionalized nanofibrous membranes for removal of organic (micro)pollutants from water [PDF]
De Buysser, Klaartje +8 more
core +1 more source
This study systematically compares the degradation efficiency of CIP in a H2O2‐alone system and a novel Bi12FeO20‐H2O2 photo‐Fenton system. It reveals for the first time the presence of a quinone‐imine intermediate in the H2O2‐alone system, which exhibits toxicity comparable to CIP.
Wenting Qiu +9 more
wiley +1 more source
Correction: Elbedwehy et al. Super Effective Removal of Toxic Metals Water Pollutants Using Multi Functionalized Polyacrylonitrile and Arabic Gum Grafts. <i>Polymers</i> 2019, <i>11</i>, 1938. [PDF]
Elbedwehy AM +3 more
europepmc +1 more source
MIL-100(Fe)-Hybridized Nanofibers for Adsorption and Visible Light Photocatalytic Degradation of Water Pollutants: Experimental and DFT Approach. [PDF]
Lee H, Lee H, Ahn S, Kim J.
europepmc +1 more source
A green, thermoreversible self‐assembly strategy yields a multifunctional and recyclable supramolecular nanofibrous membrane. Graphene oxide (GO) nanosheet acts as a heterogeneous nucleation‐templating agent, simultaneously modulating the supramolecular crystal packing while tailoring the nanofibrous architecture for elite performance.
Wenjing Sun +6 more
wiley +1 more source
Biochar with further enhanced properties prepared by acid base combined pretreatment for removal of water pollutants. [PDF]
Gao W, Shi Y, Zhou Y, Jia J, Chen S.
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Mathematical analysis and control optimization of soluble and insoluble water pollutants dispersion. [PDF]
Oludoun OY +3 more
europepmc +1 more source

