Evidence map›Paper›PMID 37064486›Full record

ArticleHeliyon2023

Impact of ZnO nanoparticles as additive on performance and emission characteristics of a diesel engine fueled with waste plastic oil.

Ameer Suhel, Norwazan Abdul Rahim, Mohd Rosdzimin Abdul Rahman, Khairol Amali Bin Ahmad, Umrah Khan, Yew Heng Teoh, Noh Zainal Abidin

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

6 citing papers in PubMed, 47 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Ameer SuhelDepartment of Mechanical Engineering, Universiti Pertahanan Nasional Malaysia, Sungai Besi 57000, Kuala Lumpur, Malaysia.
Norwazan Abdul RahimDepartment of Mechanical Engineering, Universiti Pertahanan Nasional Malaysia, Sungai Besi 57000, Kuala Lumpur, Malaysia.
Mohd Rosdzimin Abdul RahmanDepartment of Mechanical Engineering, Universiti Pertahanan Nasional Malaysia, Sungai Besi 57000, Kuala Lumpur, Malaysia.
Khairol Amali Bin AhmadDepartment of Electrical & Electronics Engineering, Universiti Pertahanan Nasional Malaysia, Sungai Besi 57000 Kuala Lumpur, Malaysia.
Umrah KhanFaculty of Mechanical Engineering, Lords Institute of Engineering & Technology, Hyderabad, Telangana, India.
Yew Heng TeohSchool of Mechanical Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Penang, Malaysia.
Noh Zainal AbidinDepartment of Science & Maritime Technology, Universiti Pertahanan Nasional Malaysia, Sungai Besi 57000, Kuala Lumpur, Malaysia.
National Defence University of Malaysia · MYUniversiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neat waste plastic oil (WPO) application as a fuel in engines reduces BTE and increases deleterious emissions of CO, UHC, NOx, and smoke due to the presence of insufficient oxygen and unbreakable hydrocarbon chains in WPO. Present investigation was performed to evaluate the impact of ZnO nanoparticles on the performance and emission characteristics of a diesel engine operated with the waste plastic oil (WPO20) blend. The objective of doping ZnO nanoparticles with WPO20 was to enhance the oxidation reaction and heat transfer rate between fuel droplets during combustion, which aids in completing the combustion. The sol-gel technique was adopted to successfully synthesize the ZnO nanoparticles using zinc acetate (Zn(CH

Indexed as

Diesel engineEmissionPerformanceWaste plastic oilZnO nanoparticles

Identifiers

PMID37064486
PMCPMC10102206
OpenAlexW4360836431

What OpenQuestion holds

Textmetadata
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.