Evidence map›Paper›PMID 41502746›Full record

ArticleACS omega2025

Study on the Correlation between Functional Group Structural Parameters and Prediction of Biomass Combustion Characteristics.

Tingting Zhu, Ziyi Ma, Jiaxing Niu, Jianglong Yu, Jinxiao Dou, Lili Li

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Tingting ZhuUniversity of Science and Technology Liaoning, Anshan 114051, China.ORCID https://orcid.org/0009-0007-4464-3787
Ziyi MaUniversity of Science and Technology Liaoning, Anshan 114051, China.
Jiaxing NiuUniversity of Science and Technology Liaoning, Anshan 114051, China.
Jianglong YuSuzhou Industrial Park Monash Research Institute of Science and Technology and Southeast University-Monash University Joint Graduate School, Suzhou 215123, China.
Jinxiao DouUniversity of Science and Technology Liaoning, Anshan 114051, China.
Lili LiUniversity of Science and Technology Liaoning, Anshan 114051, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, the aim is to predict biomass combustion characteristics based on the semiquantitative analysis of biomass functional group structural parameters. The structural parameters of biomass were calculated by Fourier transform infrared (FT-IR) spectroscopy. Then, a chemical percolation devolatilization model suitable for biomass was used to predict the pyrolysis process of biomass, and the influence of functional group structural parameters on the pyrolysis behavior was analyzed. The combustion characteristics of biomass were investigated by using a thermogravimetric analyzer and visual drop tube furnace. Finally, correlations between functional group structural parameters and combustion characteristics were established. The results show that biomass with a high content of hydroxyl groups (

Identifiers

PMID41502746
PMCPMC12771201

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Registered trials

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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.