Fractional‐Order Kinetics Modeling of Starch Thermal Degradation

Author:

Roldan‐Cruz César1ORCID,García‐Hernandez Angeles2,Fonseca‐Florido Heidi Andrea3ORCID,Vernon‐Carter Eduardo Jaime4ORCID,Alvarez‐Ramirez Jose4ORCID

Affiliation:

1. Facultad de Nutrición Universidad Veracruzana‐Región Veracruz Iturbide S/N Ignacio Zaragoza Veracruz 91700 México

2. Facultad de Ciencias Químicas. Universidad Veracruzana‐Región Xalapa Calle de La Pérgola S/N, Zona Universitaria Xalapa Veracruz 91000 México

3. Investigador por México‐CONAHCYT Centro de Investigación en Química Aplicada (CIQA) Blvd. Enrique Reyna H. No. 140 Saltillo Coahuila 25294 México

4. Departamento de Ingeniería de Procesos e Hidráulica Universidad Autónoma Metropolitana‐Iztapalapa. Iztapalapa Apartado Postal 55–534. Ciudad de Mexico CDMX 09310 México

Abstract

AbstractThe 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.

Publisher

Wiley

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