Evidence map›Paper›PMID 39968715›Full record

ReviewAngewandte Chemie (International ed. in English)2025

Roadmap to Catalytic Abatement of Gas Phase Per- and Polyfluoroalkyl Substances (PFAS).

Patrick Lott, Florian Maurer, Arik Beck

Abstract readReview
In one paragraph

Review in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Patrick LottInstitute for Chemical Technology and Polymer Chemistry, Karlsruhe Institute of Technology KIT, Engesserstr. 18/20, 76131, Karlsruhe, Germany.ORCID https://orcid.org/0000-0001-8683-2155
Florian MaurerInstitute for Chemical Technology and Polymer Chemistry, Karlsruhe Institute of Technology KIT, Engesserstr. 18/20, 76131, Karlsruhe, Germany.ORCID https://orcid.org/0000-0002-3307-4132
Arik BeckInstitute for Chemical Technology and Polymer Chemistry, Karlsruhe Institute of Technology KIT, Engesserstr. 18/20, 76131, Karlsruhe, Germany.ORCID https://orcid.org/0000-0001-5267-3141

Funding

Deutsche Forschungsgemeinschaft 426888090Karlsruhe Institute of Technology YIGPrepPro
6 · The paper itself

Abstract

While the outstanding stability of per- and polyfluoroalkyl substances (PFAS) paved the way for their widespread application in a huge variety of applications, it also resulted in their nickname "forever chemicals". The rising awareness for PFAS-related environmental and health concerns drives a discussion on the most effective ways to abate PFAS emissions into the environment, i.e. water, soil, and air, and remediation of contaminated matter. In order to address the knowledge gap regarding air pollution by PFAS, this minireview summarizes the current corpus of work in the field and outlines how catalysis can contribute to PFAS abatement in the gas phase. Beyond a mere collection of state-of-the-art knowledge, overarching challenges in catalytic PFAS removal are identified, spanning from fundamental organic and inorganic chemistry, i.e. C-F-bond activation, to heterogeneous catalysis, i.e. surface reactions at the gas-solid interface, to reaction engineering, i.e. scaling relations and technical hurdles. In addition, the article introduces concepts and workflows that aim at providing guidance during the design of technological solutions for the efficient control of gaseous PFAS emissions.

Indexed as

C−F bondemission controlfluorineheterogeneous catalysisPFAS

Identifiers

PMID39968715
PMCPMC12070372

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.