ReviewMolecules (Basel, Switzerland)2024
Application Prospect of Ion-Imprinted Polymers in Harmless Treatment of Heavy Metal Wastewater.
Review in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Hybrid Graphene Oxide/Ion-Imprinted Polymer via Single-Step Grafting-Imprinting for High-Performance and Selective Cu(II) Adsorption.Polymers · 2026Article
- Ion-Imprinted Chitosan Technology for Heavy Metal Ion Removal from Water and Wastewater: A Review on Recent Insights and Future Perspectives.International journal of molecular sciences · 2026Review
- Highly Sensitive Optical Fiber PbGels (Basel, Switzerland) · 2025Article
- Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rapid development of industry, the discharge of heavy metal-containing wastewater poses a significant threat to aquatic and terrestrial environments as well as human health. This paper provides a brief introduction to the basic principles of ion-imprinted polymer preparation and focuses on the interaction between template ions and functional monomers. We summarized the current research status on typical heavy metal ions, such as Cu(II), Ni(II), Cd(II), Hg(II), Pb(II), and Cr(VI), as well as metalloid metal ions of the As and Sb classes. Furthermore, it discusses recent advances in multi-ion-imprinted polymers. Finally, the paper addresses the challenges faced by ion-imprinted technology and explores its prospects for application.
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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.