Kinetic and Thermodynamic Analyses of Poly (3‐Hydroxybutyrate‐co‐3‐hydroxyvalerate) Pyrolysis by Model‐Free and Gaussian Deconvolution Methods

Abstract Pyrolysis of poly (3‐hydroxybutyrate‐co‐3‐hydroxyvalerate) (PHBV) has been investigated in detail by means of thermogravimetric measurements and theoretical kinetic parameterization. The novelty of present work is that the Gaussian deconvolution method is attempted for the first time to perform kinetic study of PHBV pyrolysis along with thermodynamic analysis. The results acquired from 5 to 20 K/min demonstrate that PHBV was mainly pyrolyzed within 500 ∼ 950 K. The pyrolysis features were characterized by some specific pyrolysis indexes and kinetic analysis was conducted by using various methods. Using the model‐free methods, the activation energy Ea and pre‐exponential factor lnA for global PHBV pyrolysis are 118.1 ∼ 189.2 kJ/mol and 18.43 ∼ 24.83 min‐1, separately. By the Gaussian multi‐peak fitting method, the PHBV pyrolysis has been deconvoluted into four parallel sub‐reactions. Following Coats‐Redfern method, the Avrami‐Erofeev type reaction models are found to be the most suitable for describing the global pyrolysis process and sub‐reactions. With kinetic parameters, the fittings against experimental results are satisfactorily achieved. Finally, the evaluations of thermodynamic parameters and thermal lifespan are made for practical application considerations. Overall, our results can be very helpful for deeply understanding intricate pyrolysis of PHBV waste and advancing bioenergy development.

Authors

Institutions

Publication Details

Journal
ChemistrySelect
Published
2025-08-26
DOI
https://doi.org/10.1002/slct.202500326
Citations
1
Primary Topic
Thermal and Kinetic Analysis
Type
article
Field-Weighted Citation Impact
0.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Kinetic and Thermodynamic Analyses of Poly (3‐Hydroxybutyrate‐co‐3‐hydroxyvalerate) Pyrolysis by Model‐Free and Gaussian Deconvolution Methods

Yu‐si Li, Zhen Huang, Yu‐jiang Liu, Chenxu Zhao
1 citations
ChemistrySelect
Thermal and Kinetic Analysis
0.52
article

Kinetic and Thermodynamic Analyses of Poly (3‐Hydroxybutyrate‐co‐3‐hydroxyvalerate) Pyrolysis by Model‐Free and Gaussian Deconvolution Methods

Yu‐si Li, Zhen Huang, Yu‐jiang Liu, Chenxu Zhao
article en
1 citations

Abstract

Abstract Pyrolysis of poly (3‐hydroxybutyrate‐co‐3‐hydroxyvalerate) (PHBV) has been investigated in detail by means of thermogravimetric measurements and theoretical kinetic parameterization. The novelty of present work is that the Gaussian deconvolution method is attempted for the first time to perform kinetic study of PHBV pyrolysis along with thermodynamic analysis. The results acquired from 5 to 20 K/min demonstrate that PHBV was mainly pyrolyzed within 500 ∼ 950 K. The pyrolysis features were characterized by some specific pyrolysis indexes and kinetic analysis was conducted by using various methods. Using the model‐free methods, the activation energy Ea and pre‐exponential factor lnA for global PHBV pyrolysis are 118.1 ∼ 189.2 kJ/mol and 18.43 ∼ 24.83 min‐1, separately. By the Gaussian multi‐peak fitting method, the PHBV pyrolysis has been deconvoluted into four parallel sub‐reactions. Following Coats‐Redfern method, the Avrami‐Erofeev type reaction models are found to be the most suitable for describing the global pyrolysis process and sub‐reactions. With kinetic parameters, the fittings against experimental results are satisfactorily achieved. Finally, the evaluations of thermodynamic parameters and thermal lifespan are made for practical application considerations. Overall, our results can be very helpful for deeply understanding intricate pyrolysis of PHBV waste and advancing bioenergy development.

ChemistrySelectVol. 10(33)
Tianjin University of Commerce (CN)
Openalex Percentile: Top 34%
Thermal and Kinetic Analysis
0.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.