Evidence map›Paper›PMID 41663650›Full record

ArticleScientific reports2026

Impact of seaweeds on tensile, thermal and viscoelasticity behavior of polybutylene adipate terephthalate-based composites.

Muhamad Haikal Hamdan, Siti Noorbaini Sarmin, Zoheb Karim, Mohammad Jawaid, Ahmad Safwan Ismail, Nurjannah Salim

Abstract read
PubMed Full text at PMC Publisher
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

6 authors.

Muhamad Haikal HamdanDepartment of Wood Technology, Faculty of Applied Science, Universiti Teknologi MARA, 26400, Jengka, Pahang, Malaysia.
Siti Noorbaini SarminDepartment of Wood Technology, Faculty of Applied Science, Universiti Teknologi MARA, 26400, Jengka, Pahang, Malaysia.
Zoheb KarimDepartment of Chemical and Petroleum Engineering, College of Engineering, United Arab Emirates University (UAEU), Al Ain, UAE.
Mohammad JawaidDepartment of Chemical and Petroleum Engineering, College of Engineering, United Arab Emirates University (UAEU), Al Ain, UAE. jawaid@uaeu.ac.ae.
Ahmad Safwan IsmailChemical Engineering Programme, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia.
Nurjannah SalimDepartment of Bio-Composite Laboratory, Institute of Tropical Forestry and Forest Products, University Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia.

Funding

College of Engineering, United Arab Emirates University 12R301 and 12R287
6 · The paper itself

Abstract

In the current study, a composite was produced using Kappaphycus alvarezii (K.Alvarezii) as filler with poly(butylene adipate-co-terephthalate) (PBAT). The varying concentrations of K.Alvarezii (10 wt%, 20 wt%, 30 wt%, and 40wt%) were used to determine their impact on the mechanical, thermal, morphological, and viscoelastic properties of the produced composites. Addition of K. Alvarezii particles to PBAT resulted in an improvement in the tensile modulus and decrease in the damping factor (Tan delta). An observed inverse correlation between the storage and loss modulus was analyzed. The thermogravimetric investigation demonstrated the degradation temperature of composites falls within the range of temperatures exhibited by their pristine components, i.e., K. Alvarezii and PBAT. As the amount of K. Alvarezii particles increased, improved melting (T

Indexed as

BiopolymerKappaphycus alvareziiPoly(butylene adipate-co-terephthalateTensile propertiesThermal properties

Identifiers

PMID41663650
PMCPMC12957286

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.