Evidence map›Paper›PMID 37836056›Full record

ReviewPolymers2023

Exploring the Prospects of Macadamia Nutshells for Bio-Synthetic Polymer Composites: A Review.

Md Sefat Khan, Md Mainul Islam, Jayantha Epaarachchi, Shinichi Shibata

Abstract readReview
In one paragraph

Review 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
–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

5 citing papers in PubMed.

  1. Effects of Substitution of Corn withAnimals : an open access journal from MDPI · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
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.

Md Sefat KhanCentre for Future Materials and School of Engineering, University of Southern Queensland, Toowoomba, QL 4350, Australia.
Md Mainul IslamCentre for Future Materials and School of Engineering, University of Southern Queensland, Toowoomba, QL 4350, Australia.ORCID 0000-0003-3265-2348
Jayantha EpaarachchiCentre for Future Materials and School of Engineering, University of Southern Queensland, Toowoomba, QL 4350, Australia.
Shinichi ShibataDepartment of Mechanical Systems Engineering, University of the Ryukyus, Okinawa 903-0213, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global production of macadamia nuts has witnessed a significant increase, resulting in the accumulation of large quantities of discarded nutshells. These nutshells possess the properties of remarkable hardness and toughness, which are comparable to those of aluminum. Incorporating natural fillers to enhance the properties of composite materials for various applications, including light duty, structural, and semi-structural purposes, is a common practice. Given their inherent hardness and toughness, macadamia nutshells present an intriguing choice as fillers, provided that the manufacturing conditions are economically viable. With the urgent need to shift toward natural fillers and reduce reliance on synthetics, exploring macadamia nutshells as components of natural fiber composites becomes imperative. This review aims to comprehensively examine the existing body of knowledge on macadamia nutshells and their bio-synthetic polymer composites, highlighting key research findings, achievements, and identifying knowledge gaps. Furthermore, the article will outline prospective areas of focus for future research endeavors in this domain, aligning with the universal goal of minimizing synthetic materials.

Indexed as

macadamia nutshellsmechanical characterizationsmorphologypolymer composites

Identifiers

PMID37836056
PMCPMC10574907

What OpenQuestion holds

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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.