Evidence map›Paper›PMID 36749115›Full record

ArticleAngewandte Chemie (International ed. in English)2023

Engineered Binding Microenvironments in Halogen Bonding Polymers for Enhanced Anion Sensing.

Krzysztof M Bąk, Sophie C Patrick, Xiaoxiong Li, Paul D Beer, Jason J Davis

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Solvent effects in anion recognition.Nature reviews. Chemistry · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

5 authors.

Krzysztof M BąkDepartment of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK.ORCID http://orcid.org/0000-0003-4813-4887
Sophie C PatrickDepartment of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK.ORCID http://orcid.org/0000-0002-0107-4664
Xiaoxiong LiDepartment of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK.
Paul D BeerDepartment of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK.ORCID http://orcid.org/0000-0003-0810-9716
Jason J DavisDepartment of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK.ORCID http://orcid.org/0000-0001-7734-1709

Funding

Engineering and Physical Sciences Research Council EP/P033490/1Engineering and Physical Sciences Research Council EP/T517811/1
6 · The paper itself

Abstract

Mimicking Nature's polymeric protein architectures by designing hosts with binding cavities screened from bulk solvent is a promising approach to achieving anion recognition in competitive media. Accomplishing this, however, can be synthetically demanding. Herein we present a synthetically tractable approach, by directly incorporating potent supramolecular anion-receptive motifs into a polymeric scaffold, tuneable through a judicious selection of the co-monomer. A comprehensive analysis of anion recognition and sensing is demonstrated with redox-active, halogen bonding polymeric hosts. Notably, the polymeric hosts consistently outperform their monomeric analogues, with especially large halide binding enhancements of ca. 50-fold observed in aqueous-organic solvent mixtures. These binding enhancements are rationalised by the generation and presentation of low dielectric constant binding microenvironments from which there is appreciable solvent exclusion.

Indexed as

AnionsElectrochemistryHost-Guest SystemsPolymersSolvent Effects

Identifiers

PMID36749115
PMCPMC10946961

What OpenQuestion holds

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LicenceCC BY
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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.