ArticleNanomaterials (Basel, Switzerland)2018
Self-Assembled AgNP-Containing Nanocomposites Constructed by Electrospinning as Efficient Dye Photocatalyst Materials for Wastewater Treatment.
Article in Nanomaterials (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Agaricus arvensis extract-coated functionalized silver nanoparticles for effective aerobic biotransformation of synthetic L-tyrosine to L-DOPA.AMB Express · 2026Article
- Synergistic photocatalytic and biomedical applications of Ag₂O-immobilized Bacillus subtilis-hyaluronic acid.Microbial cell factories · 2025Article
- Article
- A Pressure and Proximity Sensor Based on Laser-Induced Graphene.Sensors (Basel, Switzerland) · 2024Article
- The Characterization and Study of Antibacterial, Free Radical Scavenging, and Anticancer Potential ofMolecules (Basel, Switzerland) · 2023Article
- Research progress, models and simulation of electrospinning technology: a review.Journal of materials science · 2022Review
- A comprehensive review on electrospun nanohybrid membranes for wastewater treatment.Beilstein journal of nanotechnology · 2022Review
- Bio-mimetic synthesis of catalytically active nano-silver using Bos taurus (A-2) urine.Scientific reports · 2021Article
- Article
- Recent Advances in Electrospun Sustainable Composites for Biomedical, Environmental, Energy, and Packaging Applications.International journal of molecular sciences · 2020Review
- Article
- Electrochemical Fabrication of rGO-embedded Ag-TiONano-micro letters · 2019Article
- Electrospinning Preparation of NC/GAP/Submicron-HNS Energetic Composite Fiber and its Properties.ACS omega · 2019Article
- Highly Efficient Catalytic Performances of Nitro Compounds and Morin via Self-Assembled MXene-Pd Nanocomposites Synthesized through Self-Reduction Strategy.Nanomaterials (Basel, Switzerland) · 2019Article
- Article
- Article
- Preparation of Self-Assembled Composite Films Constructed by Chemically-Modified MXene and Dyes with Surface-Enhanced Raman Scattering Characterization.Nanomaterials (Basel, Switzerland) · 2019Article
- Fabrication and Highly Efficient Dye Removal Characterization of Beta-Cyclodextrin-Based Composite Polymer Fibers by Electrospinning.Nanomaterials (Basel, Switzerland) · 2019Article
- Facile Preparation of Self-Assembled Polydopamine-Modified Electrospun Fibers for Highly Effective Removal of Organic Dyes.Nanomaterials (Basel, Switzerland) · 2019Article
- Facile solvothermal preparation of FeRSC advances · 2019Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The design and self-assembly of graphene oxide (GO)-based composite membranes have attracted enormous attention due to their wide application in nanomaterial and environmental fields. In this work, we have successfully developed a strategy to fabricate new composite membranes based on poly(vinyl alcohol)/poly(acrylic acid)/carboxyl-functionalized graphene oxide modified with silver nanoparticles (PVA/PAA/GO-COOH@AgNPs), which were prepared via thermal treatment and the electrospinning technique. Due to the strong π-π forces and strong electrostatic interactions of GO-COOH sheets, the prepared composite membranes and their lager surface areas were modified by scores of AgNPs, which demonstrated that a high-efficiency photocatalyst removed the organic dyes from the aqueous solutions. The prepared PVA/PAA/GO-COOH@AgNPs nanocomposite membranes showed a remarkable photocatalytic capacity in the catalytic degradation of the methylene blue dye solutions. Most importantly, the whole process was easy, mild, and eco-friendly. Additionally, the as-prepared membranes could be repeatedly used after the catalytic reaction.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.