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Kinetic and thermodynamic studies of biomass pseudo-components under thermo-oxidative degradation conditions using asymmetric function of Bi-Gaussian as deconvolution technique

Weizhen Li, Yanqin Huang, Huacai Liu, Yan Zhang, Yang Jiang, Yan Wang, Junfeng Wan and Xiuli Yin

Renewable Energy, 2022, vol. 188, issue C, 491-503

Abstract: This work aimed at investigating the kinetic and thermodynamic characteristics of components of pine sawdust (PS), edible fungi spent substrate (FVSS) and their blend during thermo-oxidative degradation. The novelty focused on applying deconvolution technique to distinguish an overlapped peak into three individual peaks corresponding to pseudo-hemicellulose, pseudo-cellulose and pseudo-lignin, respectively. Particularly, the function of Bi-Gaussian was employed to capture the asymmetric reaction shapes. Mass loss was recorded using a thermal analyzer at heating rates of 10, 20 and 30 K min−1 in air atmosphere. Methods of Starink and master-plots were used for estimating kinetic triplet. The average activation energies of FVSS are lower than PS, with an order of pseudo-lignin > pseudo-hemicellulose > pseudo-cellulose corresponding to the ranges of 211.70–342.78, 139.00–172.53 and 128.08–146.99 kJ mol−1, respectively. The pre-exponential factor are all higher than E+10 s−1 demonstrating some simple complex chemical reactions occurred. Models of D2 and A1 dominate the degradation of pseudo-hemicellulose and pseudo-cellulose, respectively, in PS and the blend. The average values of ΔS, ΔH and ΔG are −51.62-146.31 J mol−1, 122.99–335 kJ mol−1 and 78 144.87–216.59 kJ mol−1, showing the non-spontaneous process and need energy to maintain.

Keywords: Biomass; Pseudo-component; Thermo-oxidative degradation; Deconvolution; Bi-Gaussian; Kinetic and thermodynamic parameters (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:188:y:2022:i:c:p:491-503

DOI: 10.1016/j.renene.2022.02.024

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