2022
DOI: 10.1002/cssc.202201136
|View full text |Cite
|
Sign up to set email alerts
|

Towards Solving the PFAS Problem: The Potential Role of Metal‐Organic Frameworks

Abstract: Per‐ and polyfluoroalkyl substances (PFAS) are a group of recalcitrant molecules that have been used since the 1940s in a variety of applications. They are now linked to a host of negative health outcomes and are extremely resistant to degradation under environmental conditions. Currently, membrane technologies or adsorbents are used to remediate contaminated water. These techniques are either inefficient at capturing smaller PFAS molecules, have high energy demands, or result in concentrated waste that must b… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 10 publications
(4 citation statements)
references
References 94 publications
0
4
0
Order By: Relevance
“…Metal-organic frameworks (MOFs), as a class of potentially porous and largely crystalline materials composed of metal clusters and organic ligands, have been widely used for the capture of various toxic substances from the environment. [19][20][21] The tunable pore sizes, task-specific adsorption domains and high surface areas of MOFs make them suitable for selective removal of PFAS. [22] Some typical MOFs, such as metal azolate frameworks [23] or zeolitic imidazolate frameworks, [24] and those named after Materials of Institut Lavoisier (MILs), [25] Northwest University (NU), [26] and University of Oslo (UiO), [27] have been demonstrated to be effective adsorbents for PFAS removal in water.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Metal-organic frameworks (MOFs), as a class of potentially porous and largely crystalline materials composed of metal clusters and organic ligands, have been widely used for the capture of various toxic substances from the environment. [19][20][21] The tunable pore sizes, task-specific adsorption domains and high surface areas of MOFs make them suitable for selective removal of PFAS. [22] Some typical MOFs, such as metal azolate frameworks [23] or zeolitic imidazolate frameworks, [24] and those named after Materials of Institut Lavoisier (MILs), [25] Northwest University (NU), [26] and University of Oslo (UiO), [27] have been demonstrated to be effective adsorbents for PFAS removal in water.…”
Section: Introductionmentioning
confidence: 99%
“…Metal‐organic frameworks (MOFs), as a class of potentially porous and largely crystalline materials composed of metal clusters and organic ligands, have been widely used for the capture of various toxic substances from the environment [19–21] . The tunable pore sizes, task‐specific adsorption domains and high surface areas of MOFs make them suitable for selective removal of PFAS [22] .…”
Section: Introductionmentioning
confidence: 99%
“…The adverse effects of residual PFASs still exist after their adsorption on MOFs because of imperfect detoxification, and are diverse; 10 however, this topic has been neglected and most research studies have focused on MOF adsorption efficiency. 11 The toxicity of PFASs varies widely based on their perfluoroalkyl chain, functional groups, and the species, sex and animal models that are exposed to the pollutants. 12 For example, humans may be less susceptible to the hepatic effects of PFASs than rats at the same serum concentration.…”
Section: Introductionmentioning
confidence: 99%
“…MOFs are potential candidates for selective chemical sensing with low detection limits owing to their extremely high surface area, variability of metal nodes, and modifiable organic linkers to provide adjustable binding sites [ 61 , 62 ]. By choosing different metal clusters for the organic linkers to coordinate around, surface characteristics and pore sizes can be adjusted [ 63 ]. Due to their stability, they can be used repeatedly to detect specific analytes [ 64 ].…”
Section: Introductionmentioning
confidence: 99%