Differential Coats–Redfern analysis for thermolysis of carbon-relevant polymers

IF 6.2 3区材料科学 Q2 CHEMISTRY, MULTIDISCIPLINARY

Carbon Letters Pub Date : 2026-07-27 DOI:10.1007/s42823-026-01120-8

Youngho Jeong, Young Seok Son, Dipali Pravin Upare, Chul Wee Lee, Young Soo Kang

{"title":"Differential Coats–Redfern analysis for thermolysis of carbon-relevant polymers","authors":"Youngho Jeong, Young Seok Son, Dipali Pravin Upare, Chul Wee Lee, Young Soo Kang","doi":"10.1007/s42823-026-01120-8","DOIUrl":null,"url":null,"abstract":"<div><p>Thermolysis of plastic waste is increasingly explored both as an end-of-life route and as a precursor step for producing carbonaceous materials, but most thermogravimetric (TG) data for polymers are collected under single heating rates with limited data resolution and are not optimized for kinetic analysis. In this study, we use the recently developed differential Coats–Redfern (d-CR) framework to extract conversion-resolved kinetic information from open-source TG curves of eight technologically important polymers (PP, PS, PET, PMMA, PC, PA, PUR, PTFE) recorded at 10 °C·min⁻¹. Classical Coats–Redfern (CR) analysis of these single-rate datasets yields curved ln[g(α)/T²] versus 1/T plots and conversion-averaged activation parameters that can misrepresent the underlying degradation behavior. In contrast, d-CR converts the same thermogravimetry into conversion-resolved Eₐ(α) and ln A(α), while rate-parity and conversion-variant compensation tests for an effective mechanistic model selection. The resulting profiles reveal systematic differences in thermolysis energy demand between commodity and engineering polymers and provide a kinetic baseline for assessing whether catalytic routes genuinely reduce process severity in plastic recycling schemes from future works.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":506,"journal":{"name":"Carbon Letters","volume":"36 5","pages":"2207 - 2218"},"PeriodicalIF":6.2000,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Carbon Letters","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s42823-026-01120-8","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

Thermolysis of plastic waste is increasingly explored both as an end-of-life route and as a precursor step for producing carbonaceous materials, but most thermogravimetric (TG) data for polymers are collected under single heating rates with limited data resolution and are not optimized for kinetic analysis. In this study, we use the recently developed differential Coats–Redfern (d-CR) framework to extract conversion-resolved kinetic information from open-source TG curves of eight technologically important polymers (PP, PS, PET, PMMA, PC, PA, PUR, PTFE) recorded at 10 °C·min⁻¹. Classical Coats–Redfern (CR) analysis of these single-rate datasets yields curved ln[g(α)/T²] versus 1/T plots and conversion-averaged activation parameters that can misrepresent the underlying degradation behavior. In contrast, d-CR converts the same thermogravimetry into conversion-resolved Eₐ(α) and ln A(α), while rate-parity and conversion-variant compensation tests for an effective mechanistic model selection. The resulting profiles reveal systematic differences in thermolysis energy demand between commodity and engineering polymers and provide a kinetic baseline for assessing whether catalytic routes genuinely reduce process severity in plastic recycling schemes from future works.

Graphical abstract

查看原文本刊更多论文

碳相关聚合物热裂解的差分Coats-Redfern分析

塑料废物的热分解作为一种报废途径和生产碳质材料的前驱步骤被越来越多地探索，但大多数聚合物的热重（TG）数据是在单一加热速率下收集的，数据分辨率有限，并且没有优化动力学分析。在这项研究中，我们使用最近开发的差分coat_redfern （d-CR）框架，从8种技术上重要的聚合物（PP， PS， PET， PMMA， PC， PA， PUR， PTFE）在10°C·min（⁻¹）下记录的开源TG曲线中提取转化分辨动力学信息。对这些单速率数据集的经典Coats-Redfern （CR）分析得出ln[g(α)/T²]与1/T的曲线图和转换平均激活参数，这些参数可能会歪曲潜在的降解行为。相比之下，d-CR将相同的热重测量转换为转换分辨的E - x1 （α）和ln - A(α)，而速率平价和转换变量补偿测试则是有效的机制模型选择。由此产生的剖面揭示了商品和工程聚合物之间热裂解能量需求的系统性差异，并为评估催化途径是否真正降低了未来工程中塑料回收方案的工艺严重性提供了动力学基线。图形抽象

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Carbon Letters CHEMISTRY, MULTIDISCIPLINARY-MATERIALS SCIENCE, MULTIDISCIPLINARY

CiteScore

7.30

自引率

20.00%

发文量

118

期刊介绍： Carbon Letters aims to be a comprehensive journal with complete coverage of carbon materials and carbon-rich molecules. These materials range from, but are not limited to, diamond and graphite through chars, semicokes, mesophase substances, carbon fibers, carbon nanotubes, graphenes, carbon blacks, activated carbons, pyrolytic carbons, glass-like carbons, etc. Papers on the secondary production of new carbon and composite materials from the above mentioned various carbons are within the scope of the journal. Papers on organic substances, including coals, will be considered only if the research has close relation to the resulting carbon materials. Carbon Letters also seeks to keep abreast of new developments in their specialist fields and to unite in finding alternative energy solutions to current issues such as the greenhouse effect and the depletion of the ozone layer. The renewable energy basics, energy storage and conversion, solar energy, wind energy, water energy, nuclear energy, biomass energy, hydrogen production technology, and other clean energy technologies are also within the scope of the journal. Carbon Letters invites original reports of fundamental research in all branches of the theory and practice of carbon science and technology.