Evidence map›Paper›PMID 40942308›Full record

ArticlePolymers2025

Measurement Error Analysis and Thermal Degradation Kinetic Model Improvement for Thermogravimetric Analyzers.

Guixiang Xie, Yaqi Lu, Xiaochun Lu, Zhusen Zhang, Shuidong Lin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Guixiang XieFujian Provincial Key Laboratory of Clean Energy Materials, Longyan Nonferrous Metal Industry Research Institute, College of Chemistry and Material Science, Longyan University, Longyan 364012, China.
Yaqi LuFujian Provincial Key Laboratory of Clean Energy Materials, Longyan Nonferrous Metal Industry Research Institute, College of Chemistry and Material Science, Longyan University, Longyan 364012, China.
Xiaochun LuFujian Provincial Key Laboratory of Clean Energy Materials, Longyan Nonferrous Metal Industry Research Institute, College of Chemistry and Material Science, Longyan University, Longyan 364012, China.
Zhusen ZhangFujian Provincial Key Laboratory of Clean Energy Materials, Longyan Nonferrous Metal Industry Research Institute, College of Chemistry and Material Science, Longyan University, Longyan 364012, China.
Shuidong LinFujian Provincial Key Laboratory of Clean Energy Materials, Longyan Nonferrous Metal Industry Research Institute, College of Chemistry and Material Science, Longyan University, Longyan 364012, China.

Funding

Education and teaching reform research foundation of Longyan Universtiy 2024JY21Higher education laboratory scientific research Foundation of Fujian Province 24FJSYZD062National College Student Innovation Training Project Foundation of China 202411312004Natural Science Foundation of Fujian Province 2024J01312，，2023J01985the Open Research Project Foundation of Fujian Key Laboratory of Photoelectric Functional Materials FJPFM-202201
6 · The paper itself

Abstract

Thermogravimetric analysis (TGA) has been extensively applied in polymeric characterization and quality inspection, facilitating in-depth investigations of the microstructural thermal response characteristics of polymers, including thermal stability, composition analysis, and thermal decomposition mechanisms. Here, the impacts of six factors on the TG thermal analysis curves obtained during operation are systematically examined while analyzing their causes and recommending solutions. Furthermore, the thermal degradation kinetics of an ionomer formed by neutralizing an ethylene-methacrylic acid copolymer with metal ions (SGP membrane) used in laminated tempered glass is analyzed using the Arrhenius equation, Ozawa-Flynn-Wall hypothesis and Kissinger method. Kinetic parameters at 5% degradation are fitted and used to predict the service lifetime of the SGP membrane. The results indicate that the SGP membrane sample exhibits activation energy

Indexed as

degradation kineticsheating rateservice lifetimeSGP membranethermogravimetric analysis

Identifiers

PMID40942308
PMCPMC12431055

What OpenQuestion holds

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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.