Evidence map›Paper›PMID 35956906›Full record

ArticleMolecules (Basel, Switzerland)2022

New Materials Based on Molecular Interaction between Hyaluronic Acid and Bovine Albumin.

Magdalena Gadomska, Katarzyna Musiał, Piotr Bełdowski, Alina Sionkowska

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 28% of its field
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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

4 authors at 2 institutions in 1 country.

Magdalena GadomskaDepartment of Biomaterials and Cosmetic Chemistry, Faculty of Chemistry, Nicolaus Copernicus University in Toruń, Gagarin 7, 87-100 Toruń, Poland.
Katarzyna MusiałDepartment of Biomaterials and Cosmetic Chemistry, Faculty of Chemistry, Nicolaus Copernicus University in Toruń, Gagarin 7, 87-100 Toruń, Poland.ORCID 0000-0002-3596-602X
Piotr BełdowskiInstitute of Mathematics and Physics, Faculty of Chemical Technology and Engineering, Bydgoszcz University of Technology J.J. Śniadeckich, 85-796 Bydgoszcz, Poland.
Alina SionkowskaDepartment of Biomaterials and Cosmetic Chemistry, Faculty of Chemistry, Nicolaus Copernicus University in Toruń, Gagarin 7, 87-100 Toruń, Poland.ORCID 0000-0002-1551-2725
Nicolaus Copernicus University · PLBydgoszcz University of Science and Technology · PL

Funding

Nicolaus Copernicus University GRANT4NCUSTUDENTS, grant number 4101.00000026.
6 · The paper itself

Abstract

In this work, the interactions between hyaluronic acid and bovine serum albumin were investigated. The film-forming properties of the mixture were proven, and the mechanical and surface properties of the films were measured. The results showed the interactions between hyaluronic acid and albumin, mainly by hydrogen bonds. Molecular docking was used for the visualization of the interactions. The films obtained from the mixture of hyaluronic acid possessed different properties to films obtained from the single component. The addition of bovine serum albumin to hyaluronic acid led to a decrease in the mechanical properties, and to an increase in the surface roughness of the film. The new materials that have been obtained by blending can form a new group of materials for biomedicine and cosmetology.

Indexed as

Hyaluronic AcidSerum Albumin, BovineMolecular Docking SimulationSurface PropertiesHyaluronic AcidSerum Albumin, Bovinebiomaterialsbovine albuminhyaluronic acidmolecular interaction

Identifiers

PMID35956906
PMCPMC9370313
OpenAlexW4289943249

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.