Evidence map›Paper›PMID 34070123›Full record

ArticlePolymers2021

Responsive Polyesters with Alkene and Carboxylic Acid Side-Groups for Tissue Engineering Applications.

Stella Afroditi Mountaki, Maria Kaliva, Konstantinos Loukelis, Maria Chatzinikolaidou, Maria Vamvakaki

Abstract read
In one paragraph

Article in Polymers, 2021. 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
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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

5 authors.

Stella Afroditi MountakiInstitute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Vassilika Vouton, 700 13 Heraklion, Greece.
Maria KalivaInstitute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Vassilika Vouton, 700 13 Heraklion, Greece.ORCID 0000-0003-2569-3328
Konstantinos LoukelisInstitute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Vassilika Vouton, 700 13 Heraklion, Greece.
Maria ChatzinikolaidouInstitute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Vassilika Vouton, 700 13 Heraklion, Greece.ORCID 0000-0002-2749-2506
Maria VamvakakiInstitute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Vassilika Vouton, 700 13 Heraklion, Greece.ORCID 0000-0003-2150-9415

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Main chain polyesters have been extensively used in the biomedical field. Despite their many advantages, including biocompatibility, biodegradability, and others, these materials are rather inert and lack specific functionalities which will endow them with additional biological and responsive properties. In this work, novel pH-responsive main chain polyesters have been prepared by a conventional condensation polymerization of a vinyl functionalized diol with a diacid chloride, followed by a photo-induced thiol-ene click reaction to attach functional carboxylic acid side-groups along the polymer chains. Two different mercaptocarboxylic acids were employed, allowing to vary the alkyl chain length of the polymer pendant groups. Moreover, the degree of modification, and as a result, the carboxylic acid content of the polymers, was easily tuned by varying the irradiation time during the click reaction. Both these parameters, were shown to strongly influence the responsive behavior of the polyesters, which presented adjustable p

Indexed as

aliphatic polyestersbiocompatibilitybiodegradable polymerspH-sensitive polymersresponsive materialssmart polymerstissue engineering

Identifiers

PMID34070123
PMCPMC8158382

What OpenQuestion holds

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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.