Evidence map›Paper›PMID 25522283›Full record

ArticleMacromolecular rapid communications2015

Chitosan-PEG hydrogel with sol-gel transition triggerable by multiple external stimuli.

Ching Ting Tsao, Meng Hsuan Hsiao, Mengying Y Zhang, Sheeny Lan Levengood, Miqin Zhang

Open access · greenAbstract read
In one paragraph

Article in Macromolecular rapid communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 63 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Ching Ting TsaoDepartment of Materials Science & Engineering, University of Washington, Seattle, WA, 98195, USA.
Meng Hsuan Hsiao
Mengying Y Zhang
Sheeny Lan Levengood
Miqin Zhang
University of Washington · USNational Yang Ming Chiao Tung University · TW

Funding

Nanotechnology and Physical Science Training Program in Cancer ResearchT32CA138312 · NCI · UNIVERSITY OF WASHINGTON · PI ZHANG, MIQIN · 2009 to 2013
$1.5M
New 3D tumor models to rapidly test drugs for brain cancer therapyR01CA172455 · NCI · UNIVERSITY OF WASHINGTON · PI ZHANG, MIQIN · 2013 to 2016
$1.1M
NCI NIH HHS R01 CA172455NCI NIH HHS R01CA172455NCI NIH HHS T32 CA138312NCI NIH HHS T32CA138312
6 · The paper itself

Abstract

Smart hydrogels play an increasingly important role in biomedical applications, since materials that are both biocompatible and multi-stimuli-responsive are highly desirable. A simple, organic solvent-free method is presented to synthesize a biocompatible hydrogel that undergoes a sol-gel transition in response to multiple stimuli. Methoxy-poly(ethylene glycol) (mPEG) is modified into carboxylic-acid-terminated-methoxy-poly(ethylene glycol) (mPEG-acid), which is then grafted onto chitosan via amide linkages yielding mPEG-g-chitosan. Grafting of mPEG onto hydrophobic chitosan imparts hydrophilic properties to the resultant polymer. The mPEG-g-chitosan gel exhibits a controllable multi-stimuli-responsive property. The balance between hydrophilicity and hydrophobicity is believed to confer mPEG-g-chitosan with stimuli-responsive behavior. The effect of salt concentration, solute concentration, temperature, and pH on the sol-gel transition of mPEG-g-chitosan is evaluated and the underlying mechanisms of mPEG-g-chitosan polymer packing and gelation property is discussed.

Indexed as

ChitosanHydrogelsPolyethylene GlycolsChitosanHydrogelsmonomethoxypolyethylene glycolPolyethylene Glycolsbiocompatiblechitosanhydrogelspoly(ethylene glycol)smart gels

Identifiers

PMID25522283
PMCPMC4315756
OpenAlexW2162701498

What OpenQuestion holds

Textmetadata
LicenceTDM
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.