ReviewNano convergence2025
A review of removal of per- and polyfluoroalkyl substances using metal-organic framework-based nanoadsorbents.
Review in Nano convergence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Review
- Metal-Organic Frameworks, Covalent Organic Frameworks, and Metal-Covalent Organic Frameworks for Aqueous PFAS Adsorption: Synthesis, Structural Engineering, and Remediation Performance.Materials (Basel, Switzerland) · 2026Review
- Metal-Organic Frameworks Built with Selenophene-Based Trimers for Perfluoroalkyl Substances Removal from Drinking Water.Chemistry of materials : a publication of the American Chemical Society · 2026Article
- Engineering graphene oxide interfaces for electrochemical biosensing of biomolecules, cells, and organoids.Nano convergence · 2026Review
- Lignocellulosic Biomass-Based Metal-Organic Frameworks: A Sustainable Frontier for Advanced Wastewater Remediation.Polymers · 2026Review
- Next-generation nanomaterials for environmental remediation: smart design, hybrid materials and sustainable use.Frontiers in chemistry · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Per- and polyfluoroalkyl substances (PFASs) are a category of extremely persistent environmental pollutants. Metal-organic frameworks (MOFs) have appeared as promising adsorbents for PFAS removal due to their large surface area, tunable porosity, and versatile surface chemistry, which are among the numerous treatment technologies available. This review critically evaluates current developments in the design, fabrication, and application of MOF-based (nano)materials for the adsorption of PFAS in aqueous environments. The adsorption efficacies of MOFs (e.g., pore size, surface charge, and functional groups) and PFASs (e.g., chain length, head group functionality, and polarity) are significantly influenced by their physicochemical properties. The selective and efficient removal of PFASs is governed by the interaction mechanisms such as electrostatic attraction, hydrophobic interactions, H-bonding, and Lewis acid-base coordination. In addition, the adsorption efficacy is significantly influenced by water quality conditions, including pH, ionic strength, background ions, and natural organic matter. Functionalized MOFs (e.g., those with amine, fluorinated, or hydrophobic groups) exhibit resilience to interference, although these factors can sometimes hinder their removal. Both experimental and computational studies have provided valuable mechanistic insights into the rational design of MOFs with improved selectivity and capacity. In addition, this review identifies critical challenges and future perspectives, such as the necessity of standard performance testing under realistic water matrices; the development of scalable, stable, and regenerable MOFs; and their integration into life-cycle assessment and toxicity evaluation.
Indexed as
Identifiers
What OpenQuestion holds
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.