Evidence map›Paper›PMID 30888145›Full record

ArticleACS applied materials & interfaces2019

Extended Nitric Oxide-Releasing Polyurethanes via S-Nitrosothiol-Modified Mesoporous Silica Nanoparticles.

Maggie J Malone-Povolny, Mark H Schoenfisch

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Mechanisms of Foreign Body Response Mitigation by Nitric Oxide Release.International journal of molecular sciences · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. ACS applied materials & interfaces · 2021
    Article
  13. Review
  14. Article
  15. Review
  16. 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

2 authors.

Maggie J Malone-PovolnyDepartment of Chemistry , University of North Carolina at Chapel Hill , CB3290, Chapel Hill , North Carolina 27599 , United States.
Mark H SchoenfischDepartment of Chemistry , University of North Carolina at Chapel Hill , CB3290, Chapel Hill , North Carolina 27599 , United States.ORCID http://orcid.org/0000-0002-2212-0658

Funding

Role of diabetes and nitric oxide release duration on analytical performance of in vivo glucose biosensorsR01DK108318 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SCHOENFISCH, MARK H · 2016 to 2023
$4.5M
NIDDK NIH HHS R01 DK108318
6 · The paper itself

Abstract

S-Nitrosothiol (RSNO)-modified mesoporous silica nanoparticles (MSNs) were doped into polyurethane (PU) to achieve extended NO-releasing coatings. Parameters influencing the synthesis of RSNO-functionalized nitric oxide (NO)-releasing MSNs were evaluated to elucidate the impact of pore structure on NO release characteristics. The porous particles were characterized as having larger NO payloads and longer NO release durations than those of nonporous particles, a feature attributed to the recombination of the NO radical in confined intraporous microenvironments. NO release kinetics, particle leaching, and thermal stability of the RSNO-modified MSNs dispersed in PU were evaluated as a function of PU structure to determine the feasibility of preparing a range of NO-releasing polymers for biomedical device-coating applications. The NO release kinetics from the PUs proved to be highly extended (>30 d) and consistent over a range of PU properties. Furthermore, RSNO-modified MSN leaching was not observed from the PUs. The NO release payloads were also maintained for 4 days for polymers stored at 0 °C.

Indexed as

mesoporositynitric oxidepolyurethanesilica nanoparticleS-nitrosothiol

Identifiers

PMID30888145
PMCPMC6773253

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Registered trials

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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.