TGA-IPR Deconvolution Code
Abstract
This dataset contains the Python code used to implement Independent Parallel Reaction (IPR) deconvolution for model verification (through published datasets), model validation (through industrial wood and pulp samples), and sensitivity analysis (involving parameter initialisation and perturbation). The files are provided as supplementary material for the study titled “Rapid Compositional Analysis of Wood and Kraft Pulp via Thermogravimetric Peak Deconvolution.” The accompanying CSV file contains raw thermogravimetric analysis (TGA) data obtained from the pyrolysis of Eucalyptus woodchips under a nitrogen atmosphere as a representative dataset.
Fields of Study & Subjects
Thermal and Kinetic Analysis
Thermochemical Biomass Conversion Processes
Spectroscopy and Chemometric Analyses
Publication details
- Journal / source
- Mendeley Data
- Publication date
- 30 January 2026
- Document type
- Dataset