Evidence map›Paper›PMID 34179539›Full record

ArticleHeliyon2021

Assessment of ethanol autoxidation as a drop-in kerosene and surrogates blend with a new modelling approach.

Ahmad Syihan Auzani, Alastair G Clements, Kevin J Hughes, Derek B Ingham, Mohamed Pourkashanian

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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 at 2 institutions in 2 countries.

Ahmad Syihan AuzaniEnergy 2050, Faculty of Engineering, University of Sheffield, Sheffield S10 2TN, United Kingdom.
Alastair G ClementsEnergy 2050, Faculty of Engineering, University of Sheffield, Sheffield S10 2TN, United Kingdom.
Kevin J HughesEnergy 2050, Faculty of Engineering, University of Sheffield, Sheffield S10 2TN, United Kingdom.
Derek B InghamEnergy 2050, Faculty of Engineering, University of Sheffield, Sheffield S10 2TN, United Kingdom.
Mohamed PourkashanianEnergy 2050, Faculty of Engineering, University of Sheffield, Sheffield S10 2TN, United Kingdom.
University of Sheffield · GBUniversity of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioethanol has been considered as a more sustainable alternative for fossil fuels, and it has been used as a drop-in fuel mixture. In this paper, the autoxidation properties of real kerosene as well as single, binary and ternary surrogates with the presence of ethanol are investigated for the first time. A simplified python code is proposed to predict the pressure drop of the PetroOXY method that was used for assessing the fuel autoxidation properties. The experimental results show that the addition of an ethanol concentration reduces the induction period of real kerosene while increasing that of surrogate mixtures. Also, the maximum pressure during the PetroOXY test increases with the increase of ethanol concentration. The model is able to predict the induction period of ethanol accurately by employing an automated reaction mechanism generator. A strategy to increase the autoxidation stability of ethanol by adding 1 g/L antioxidant has been evaluated. The efficiency of the antioxidants for ethanol is in the following order: PY > Decalin > DTBP > Tetralin > BHT > MTBP > BHA > TBHQ > PG.

Indexed as

AutoxidationEthanolKerosenePetroOXY

Identifiers

PMID34179539
PMCPMC8213907
OpenAlexW3170593071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.