淀粉热降解的分数阶动力学模型

Starch Pub Date : 2024-04-19 DOI:10.1002/star.202400024
César Roldan‐Cruz, Angeles García‐Hernandez, Heidi Andrea Fonseca‐Florido, Eduardo Jaime Vernon‐Carter, Jose Alvarez‐Ramirez
{"title":"淀粉热降解的分数阶动力学模型","authors":"César Roldan‐Cruz, Angeles García‐Hernandez, Heidi Andrea Fonseca‐Florido, Eduardo Jaime Vernon‐Carter, Jose Alvarez‐Ramirez","doi":"10.1002/star.202400024","DOIUrl":null,"url":null,"abstract":"The thermal decomposition modeling of starch granules (rice, maize, and potato) is investigated in this work. Thermogravimetric analysis (TGA) under nitrogen conditions and different heating rates is carried out. First, a model‐free analysis is carried out to determine the variability of the activation energy with the relative conversion. The results reveal that the sequence of activation energy is rice > maize > potato. In turn, the activation energy is positively correlated (ρ = 0.98) with the relative crystallinity determined by X‐ray diffraction (XRD) analysis. Then, a fractional‐order version of the Sestak–Berggren equation is used to model the starch thermal decomposition. A least‐squares approach is used to estimate the underlying parameters by fitting non‐isothermal TGA curves. The results show that the parameters depend on the heating rate, but more strongly on the XRD relative crystallinity. Overall, the results reported in this study indicate that fractional‐order kinetics models provide an accurate description of the starch thermal degradation, without the use of the traditional TGA heuristic methods used for parameter estimation.","PeriodicalId":501569,"journal":{"name":"Starch","volume":"94 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fractional‐Order Kinetics Modeling of Starch Thermal Degradation\",\"authors\":\"César Roldan‐Cruz, Angeles García‐Hernandez, Heidi Andrea Fonseca‐Florido, Eduardo Jaime Vernon‐Carter, Jose Alvarez‐Ramirez\",\"doi\":\"10.1002/star.202400024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The thermal decomposition modeling of starch granules (rice, maize, and potato) is investigated in this work. Thermogravimetric analysis (TGA) under nitrogen conditions and different heating rates is carried out. First, a model‐free analysis is carried out to determine the variability of the activation energy with the relative conversion. The results reveal that the sequence of activation energy is rice > maize > potato. In turn, the activation energy is positively correlated (ρ = 0.98) with the relative crystallinity determined by X‐ray diffraction (XRD) analysis. Then, a fractional‐order version of the Sestak–Berggren equation is used to model the starch thermal decomposition. A least‐squares approach is used to estimate the underlying parameters by fitting non‐isothermal TGA curves. The results show that the parameters depend on the heating rate, but more strongly on the XRD relative crystallinity. Overall, the results reported in this study indicate that fractional‐order kinetics models provide an accurate description of the starch thermal degradation, without the use of the traditional TGA heuristic methods used for parameter estimation.\",\"PeriodicalId\":501569,\"journal\":{\"name\":\"Starch\",\"volume\":\"94 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Starch\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/star.202400024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Starch","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/star.202400024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

这项工作研究了淀粉颗粒(大米、玉米和马铃薯)的热分解模型。在氮气条件和不同加热速率下进行了热重分析(TGA)。首先,进行了无模型分析,以确定活化能随相对转化率的变化情况。结果表明,活化能的顺序为水稻> 玉米> 马铃薯。而活化能与 X 射线衍射(XRD)分析确定的相对结晶度呈正相关(ρ = 0.98)。然后,使用 Sestak-Berggren 方程的分数阶版本来模拟淀粉热分解。通过拟合非等温 TGA 曲线,采用最小二乘法估算基本参数。结果表明,参数取决于加热速率,但更取决于 XRD 相对结晶度。总之,本研究报告的结果表明,分数阶动力学模型能准确描述淀粉的热降解,而无需使用用于参数估计的传统 TGA 启发式方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Fractional‐Order Kinetics Modeling of Starch Thermal Degradation

Fractional‐Order Kinetics Modeling of Starch Thermal Degradation
The thermal decomposition modeling of starch granules (rice, maize, and potato) is investigated in this work. Thermogravimetric analysis (TGA) under nitrogen conditions and different heating rates is carried out. First, a model‐free analysis is carried out to determine the variability of the activation energy with the relative conversion. The results reveal that the sequence of activation energy is rice > maize > potato. In turn, the activation energy is positively correlated (ρ = 0.98) with the relative crystallinity determined by X‐ray diffraction (XRD) analysis. Then, a fractional‐order version of the Sestak–Berggren equation is used to model the starch thermal decomposition. A least‐squares approach is used to estimate the underlying parameters by fitting non‐isothermal TGA curves. The results show that the parameters depend on the heating rate, but more strongly on the XRD relative crystallinity. Overall, the results reported in this study indicate that fractional‐order kinetics models provide an accurate description of the starch thermal degradation, without the use of the traditional TGA heuristic methods used for parameter estimation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信