Evidence map›Paper›PMID 42289550›Full record

ArticleScientific reports2026

Comparative mechanical properties of polyester and polyethylene composites reinforced with sunflower seed hull fibers.

Babak Mehdipour, Abbas Niknejad, Hadi Zare-Zardini

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Babak MehdipourMechanical Engineering Department, Yasouj University, P.O. Box 75914- 353, Yasouj, Iran.
Abbas NiknejadMechanical Engineering Department, Yasouj University, P.O. Box 75914- 353, Yasouj, Iran. Aniknejad@yu.ac.ir.
Hadi Zare-ZardiniDepartment of Biomedical Engineering, Meybod University, Meybod, Iran. hadizarezardini@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the development and characterization of novel composite materials using sunflower seed hull fibers as reinforcement in polyester and polyethylene matrices. The fibers were extracted via alkaline treatment (10% NaOH) and mechanical separation. Composites were fabricated with various fiber mass fractions (0-40% for polyester and 0-22% for polyethylene) using a compression molding technique. Mechanical properties were evaluated through tensile, flexural, impact, and compression tests according to ASTM standards. Results showed significant improvements in the mechanical properties of polyester-based composites. The polyester/sunflower seed fiber composite exhibited a 50% increase in tensile strength at 40% fiber mass fraction, while flexural strength improved by 63%, reaching 70.52 MPa. Impact strength was 3.3 times greater than that of neat polyester resin, and compressive strength reached 143.5 MPa. Polyethylene-based composites showed more modest improvements, with a 12% increase in tensile strength and a 35% improvement in flexural strength at 22% fiber content, although impact strength decreased with increasing fiber content. This study demonstrates the potential of sunflower seed hull fibers as an effective, sustainable reinforcement material for polymer composites, particularly in polyester-based systems. These novel composites could be viable alternatives for applications requiring enhanced mechanical properties while maintaining environmental sustainability.

Indexed as

Mechanical propertiesNatural fiber compositesPolyester compositesPolyethylene compositesSunflower seed hull fibersSustainable materials

Identifiers

PMID42289550
PMCPMC13527094

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.