Evidence map›Paper›PMID 38672863›Full record

ArticleFoods (Basel, Switzerland)2024

Synergistic Effects and Kinetic Analysis in Co-Pyrolysis of Peanut Shells and Polypropylene.

Zhigang Huang, Jiahui Wu, Tenglun Yang, Zihan Wang, Tong Zhang, Fei Gao, Li Yang, Gang Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Foods (Basel, Switzerland), 2024. 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
0.9field-weighted citation impact, top 30% 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, 5 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

8 authors at 2 institutions in 1 country.

Zhigang HuangSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Haidian District, Beijing 100048, China.
Jiahui WuSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Haidian District, Beijing 100048, China.ORCID 0009-0008-5220-8491
Tenglun YangSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Haidian District, Beijing 100048, China.ORCID 0000-0002-3377-6572
Zihan WangSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Haidian District, Beijing 100048, China.
Tong ZhangSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Haidian District, Beijing 100048, China.
Fei GaoChina-Canada Joint Lab of Food Nutrition and Health (Beijing), Key Laboratory of Special Food Supervision Technology for State Market Regulation, School of Food and Health, Beijing Technology and Business University, 11 Fucheng Road, Beijing 100048, China.ORCID 0000-0003-1999-1708
Li YangSchool of International Studies, Peking University, Haidian District, Beijing 100871, China.
Gang LiSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Haidian District, Beijing 100048, China.ORCID 0000-0002-9520-1731
Beijing Technology and Business University · CNPeking University · CN

Funding

National Natural Science Foundation of China 32101635National Natural Science Foundation of China 32172277National Natural Science Foundation of China 52306219
6 · The paper itself

Abstract

The impact of COVID-19 has boosted growth in the takeaway and medical industries but has also generated a large amount of plastic waste. Peanut shells (PS) are produced in large quantities and are challenging to recycle in China. Co-pyrolysis of peanut shells (PS) and polypropylene (PP) is an effective method for processing plastic waste and energy mitigation. Thermogravimetric analysis was conducted on PS, PP, and their blends (PS-PP) at different heating rates (10, 20, 30 °C·min

Indexed as

activation energyco-pyrolysis processheating ratesynergistic mechanismthermogravimetry

Identifiers

PMID38672863
PMCPMC11049628
OpenAlexW4394819333

What OpenQuestion holds

Textmetadata
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.