Evidence map›Paper›PMID 35529409›Full record

ArticleRSC advances2019

Properties and degradation of castor oil-based fluoridated biopolyurethanes with different lengths of fluorinated segments.

Jia-Wun Li, Yung-Hsin Cheng, Hsun-Tsing Lee, Wen-Chin Tsen, Chih-Wei Chiu, Maw-Cherng Suen

Abstract read
In one paragraph

Article in RSC advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Jia-Wun LiDepartment of Materials Science and Engineering, National Taiwan University of Science and Technology No. 43, Keelung Rd., Sec. 4, Da'an Dist Taipei 10607 Taiwan ROC cwchiu@mail.ntust.edu.tw +886-2-2737-6544 +886-2-2737-6521.ORCID https://orcid.org/0000-0001-5033-2829
Yung-Hsin ChengDepartment of Materials Science and Engineering, National Taiwan University of Science and Technology No. 43, Keelung Rd., Sec. 4, Da'an Dist Taipei 10607 Taiwan ROC cwchiu@mail.ntust.edu.tw +886-2-2737-6544 +886-2-2737-6521.
Hsun-Tsing LeeDepartment of Materials Science and Engineering, Vanung University Jongli Taoyuan 32061 Taiwan ROC.
Wen-Chin TsenDepartment of Fashion and Design, Lee-Ming Institute of Technology New Taipei City 24305 Taiwan ROC.
Chih-Wei ChiuDepartment of Materials Science and Engineering, National Taiwan University of Science and Technology No. 43, Keelung Rd., Sec. 4, Da'an Dist Taipei 10607 Taiwan ROC cwchiu@mail.ntust.edu.tw +886-2-2737-6544 +886-2-2737-6521.ORCID https://orcid.org/0000-0003-2258-2454
Maw-Cherng SuenDepartment of Fashion Business Administration, Lee-Ming Institute of Technology No.22, Sec.3, Tailin Rd. Taishan Dist. New Taipei City 24305 Taiwan ROC sunmc0414@gmail.com +886-2-2909-7811 ext. 1101.ORCID https://orcid.org/0000-0003-2023-2178

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To develop a durable, biodegradable polymer, this study successfully synthesized a castor-oil-based prepolymer by using methylene diphenyl diisocyanate as a hard segment, polycaprolactone as a soft segment, and castor oil as a functional monomer. We added perfluorinated alkyl segments with varying chain lengths into the castor-oil-based polymer to synthesize castor-oil-based fluoridated biopolyurethanes (FCOPUs) with different fluorinated segment lengths. The castor-oil-based polyurethanes with different fluorinated segment lengths had similar molecular weights, which enabled accurate analysis of the effect of the lengths of fluorinated segments on FCOPUs. Nuclear magnetic resonance (NMR) was used to perform

Identifiers

PMID35529409
PMCPMC9072421

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.