Evidence map›Paper›PMID 40821953›Full record

ArticleChemistry of materials : a publication of the American Chemical Society2023

Salicylhydroxamic Acid as a Novel Switchable Adhesive Molecule.

Kan Wang, Lokanath Patra, Bo Liu, Zhongtian Zhang, Ravindra Pandey, Bruce P Lee

Abstract read
In one paragraph

Article in Chemistry of materials : a publication of the American Chemical Society, 2023. 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
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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

6 authors.

Kan WangBiomedical Engineering Department, Michigan Technological University, 1400 Townsend Drive, Houghton, Michigan, 49931, United States.
Lokanath PatraPhysics Department, Michigan Technological University, 1400 Townsend Drive, Houghton, Michigan, 49931, United States.
Bo LiuBiomedical Engineering Department, Michigan Technological University, 1400 Townsend Drive, Houghton, Michigan, 49931, United States.
Zhongtian ZhangBiomedical Engineering Department, Michigan Technological University, 1400 Townsend Drive, Houghton, Michigan, 49931, United States.
Ravindra PandeyPhysics Department, Michigan Technological University, 1400 Townsend Drive, Houghton, Michigan, 49931, United States.
Bruce P LeeBiomedical Engineering Department, Michigan Technological University, 1400 Townsend Drive, Houghton, Michigan, 49931, United States.

Funding

Mutlifunctional Nanocomposite Bioadhesive for Diabetic Wound RepairR15GM135875 · NIGMS · MICHIGAN TECHNOLOGICAL UNIVERSITY · PI LEE, BRUCE P · 2020 to 2024
$884k
NIGMS NIH HHS R15 GM135875
6 · The paper itself

Abstract

The feasibility of salicylhydroxamic acid (SHAM) to function as a pH-responsive, switchable adhesive molecule is explored here. Using a custom-built Johnson-Kendall-Roberts contact mechanics test setup, SHAM-containing adhesive demonstrated strong, wet adhesion to various surfaces (glass, titanium, polystyrene and amine-functionalized glass) at pH 5 with adhesive properties that were comparable to those of catechol. Work of adhesion of SHAM decreased by nearly 98% with increasing pH and fully recovered when treated with pH 5. Most impressively, SHAM recovered its adhesive property even after its exposure to pH as high as 11, an indication of superior stability towards base treatment. This result contrasts the case of catechol, which did not recover its initial adhesive property due to irreversible oxidation. Finally, density functional theory calculations was used to confirm that the observed tunable adhesion property was due to the deprotonation of SHAM.

Identifiers

PMID40821953
PMCPMC12356411

What OpenQuestion holds

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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.