Evidence map›Paper›PMID 36340005›Full record

ArticleHeliyon2022

Influence of material composition on the morphology and engineering properties of waste plastic binder composite for construction purposes.

Yusuf Babatunde, John Mwero, Raphael Mutuku, Yinusa Jimoh, Daniel Oguntayo

Abstract read
In one paragraph

Article in Heliyon, 2022. 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

5 authors.

Yusuf BabatundePan African University, Institute for Basic Sciences, Technology and Innovation (PAUSTI), Juja, Kenya.
John MweroPan African University, Institute for Basic Sciences, Technology and Innovation (PAUSTI), Juja, Kenya.
Raphael MutukuPan African University, Institute for Basic Sciences, Technology and Innovation (PAUSTI), Juja, Kenya.
Yinusa JimohDepartment of Civil Engineering, University of Ilorin, Ilorin, Nigeria.
Daniel OguntayoLandmark University SDG 11(Sustainable Cities and Communities Research Group), Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ways of mitigating the menace caused by the abundance of waste plastic generated have been a global concern. Efforts are geared towards intensification of the recycling culture for circular economy. Recent studies combined waste plastic and sand to make Waste Plastic Binder (WPB) composite materials. However, sand mining operation has been associated with environmental and ecological issues. This study explores the engineering properties of waste plastic and quarry dust composite for sustainable infrastructural development. The polyethylene terephthalate type of plastic (PET) was employed, and which was melted and mixed with QD at different compositions of 1:0, 1:1, 1:2, and 1:3 respectively. The influence of the varying compositions on the morphological and engineering properties of resulting WPB composite was investigated. The scanning electron microscopy image showed that WPB composite with higher percentage of QD possess lesser pore space, and which influenced the high strength values. The findings showed P&QD 1:3 have highest compressive strength value of 20.1MPa, and which meets up with the American Concrete Institute and South African standard minimum requirement of 17MPa for structural lightweight concrete applicable for walkways, walling and water retaining structures constructions.

Indexed as

PET-Quary dust compositeRecyclingStrengthStructural lightweight concreteWaste PET plastic

Identifiers

PMID36340005
PMCPMC9626941

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.