Evidence map›Paper›PMID 37215830›Full record

ArticleHeliyon2023

Statistical prediction and sensitivity analysis of kinetic rate constants for efficient thermal valorization of plastic waste into combustible oil and gases.

Muhammad Irfan, Rao Adeel Un Nabi, Hammad Hussain, Muhammad Yasin Naz, Shazia Shukrullah, Hassan Abbas Khawaja, Saifur Rahman, Muhammad Usman Farid

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

8 authors.

Muhammad IrfanElectrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran, 61441, Saudi Arabia.
Rao Adeel Un NabiDepartment of Physics, University of Agriculture Faisalabad, 38040, Pakistan.
Hammad HussainDepartment of Agricultural Engineering, Faculty of Agricultural Engineering & Technology, University of Agriculture Faisalabad, 38040, Pakistan.
Muhammad Yasin NazDepartment of Physics, University of Agriculture Faisalabad, 38040, Pakistan.
Shazia ShukrullahDepartment of Physics, University of Agriculture Faisalabad, 38040, Pakistan.
Hassan Abbas KhawajaDepartment of Automation and Process Engineering, UiT the Arctic University of Norway, Tromsø, Norway.
Saifur RahmanElectrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran, 61441, Saudi Arabia.
Muhammad Usman FaridDepartment of Structures and Environmental Engineering, University of Agriculture Faisalabad, 38040, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensitivity analyses of rate constants for chemical kinetics of the pyrolysis reaction are essential for the efficient valorization of plastic waste into combustible liquids and gases. Finding the role of individual rate constants can provide important information on the process conditions, quality, and quantity of the pyrolysis products. The reaction temperature and time can also be reduced through these analyses. For sensitivity analysis, one possible approach is to estimate the kinetic parameters using MLRM (multiple linear regression model) in SPSS. To date, no research reports on this research gap are documented in the published literature. In this study, MLRM is applied to kinetic rate constants, which slightly differ from experimental data. The experimental and statistically predicted rate constants varied up to 200% from their original values to perform sensitivity analysis using MATLAB software. The product yield was examined after 60 min of thermal pyrolysis at a fixed temperature of 420 °C. The predicted rate constant "k(8)" with a slight difference of 0.02 and 0.04 from the experiment revealed 85% oil yield and 40% light wax after 60 min of operation. The heavy wax was missing from the products under these conditions. This rate constant can be utilized to maximize the commercial-scale extraction of liquids and light waxes from thermal pyrolysis of plastics.

Indexed as

Kinetic rate reactionsPolyethyleneSensitivity analysisSPSSThermal pyrolysis

Identifiers

PMID37215830
PMCPMC10192758

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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.