Evidence map›Paper›PMID 37810651›Full record

ArticleACS omega2023

Achieving High-Performance Green Composites from Pineapple Leaf Fiber-Poly(butylene succinate) through Both Fiber Alignment and Matrix Orientation across the Thickness.

Sorn Duangsuwan, Taweechai Amornsakchai, Pranee Phinyocheep, Sombat Thanawan

Abstract read
In one paragraph

Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Sorn DuangsuwanPolymer Science and Technology Program, Department of Chemistry, Faculty of Science, Mahidol University, Phuttamonthon 4 Road, Salaya, Nakhon Pathom 73170, Thailand.
Taweechai AmornsakchaiPolymer Science and Technology Program, Department of Chemistry, Faculty of Science, Mahidol University, Phuttamonthon 4 Road, Salaya, Nakhon Pathom 73170, Thailand.ORCID https://orcid.org/0000-0002-5462-9192
Pranee PhinyocheepPolymer Science and Technology Program, Department of Chemistry, Faculty of Science, Mahidol University, Phuttamonthon 4 Road, Salaya, Nakhon Pathom 73170, Thailand.ORCID https://orcid.org/0000-0003-3194-0911
Sombat ThanawanPolymer Science and Technology Program, Department of Chemistry, Faculty of Science, Mahidol University, Phuttamonthon 4 Road, Salaya, Nakhon Pathom 73170, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research aims to develop high-performance and low-carbon composites using biobased poly(butylene succinate) (PBS) reinforced with well-aligned pineapple leaf fibers (PALF). PBS/PALF composites containing 10 and 20% PALF by weight (wt %) were prepared using a two-roll mill. During the mixing process, the molten material was slightly stretched to align the fibers in the machine direction, forming a uniaxial prepreg. The prepreg was subsequently stacked and compressed into composite sheets at compression temperatures of 120 and 140 °C. Differential scanning calorimetry, X-ray diffraction, and crystalline morphology analysis revealed the presence of matrix orientation in the prepreg, which was preserved in sheets compressed at 120 °C but not at 140 °C. The composites prepared at 120 °C exhibited significantly higher flexural strength and modulus compared to those prepared at 140 °C, attributed to the combined effect of matrix and PALF orientation. Additionally, the composites displayed an increase in heat distortion temperature, with a maximum of 10 °C higher than the matrix melting temperature (∼113 °C) for the composite with 20 wt % PALF. These findings indicate the potential for increased utilization of this low-carbon green composite.

Identifiers

PMID37810651
PMCPMC10551910

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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.