Evidence map›Paper›PMID 36850235›Full record

ArticlePolymers2023

Effect of Styrene-Maleic Anhydride Copolymer on Properties of PBST/PLA Blends.

Qing Zhang, Yongguang Gao, Baojing Luo, Yan Cui, Shili Shu, Wei Chen, Lei Wang

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 17 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

7 authors at 1 institution in 1 country.

Qing ZhangCollege of Chemistry, Tangshan Normal University, Tangshan 063000, China.ORCID 0000-0002-2028-7606
Yongguang GaoCollege of Chemistry, Tangshan Normal University, Tangshan 063000, China.ORCID 0000-0003-1754-3426
Baojing LuoCollege of Chemistry, Tangshan Normal University, Tangshan 063000, China.
Yan CuiCollege of Chemistry, Tangshan Normal University, Tangshan 063000, China.
Shili ShuCollege of Chemistry, Tangshan Normal University, Tangshan 063000, China.
Wei ChenCollege of Chemistry, Tangshan Normal University, Tangshan 063000, China.
Lei WangCollege of Chemistry, Tangshan Normal University, Tangshan 063000, China.
Tangshan Normal University · CN

Funding

Program of Tangshan Normal University 2022C44Talent Funding Project of Tangshan City A202203029
6 · The paper itself

Abstract

Poly(butylene succinate-butylene terephthalate) (PBST) and polylactic acid (PLA) are both biodegradable polymeric materials. PBST has good ductility but low strength, while PLA exhibits high strength but poor toughness. Based on the complementary mechanical properties of the two polymers, PBST/PLA blends were prepared by melt blending in the mixing chamber of a torque rheometer using styrene-maleic anhydride copolymer (PSMA) as a compatibilizer. The effects of different contents of PSMA on the crystalline properties, thermal properties, mechanical properties, rheological behavior, and morphology of PBST/PLA blends were investigated. The results showed that the addition of PSMA improved the compatibility between PBST and PLA. When the amount of PSMA is 3-4 wt%, the comprehensive mechanical properties of the blends are optimal, and the tensile strength was increased by 61.7% compared with the binary blend without PSMA. Additionally, rheological tests illustrated that the blends exhibited a typical shear-thinning behavior and belonged to pseudoplastic non-Newtonian fluids.

Indexed as

blendspoly(butylene succinate-butylene terephthalate)polylactic acidstyrene-maleic anhydride copolymer

Identifiers

PMID36850235
PMCPMC9960150
OpenAlexW4320918189

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.