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mixchar: An R Package for the Deconvolution of Thermal Decay Curves Cover

mixchar: An R Package for the Deconvolution of Thermal Decay Curves

Open Access
|Oct 2021

Figures & Tables

Figure 1

Mass across temperature for pyrolysis of Juncus amabilis.

Figure 2

Derivative thermogravimetric rate of mass loss across temperature, scaled by initial mass of sample for Juncus amabilis. Line segments 1, 2, and 3 represent mass loss phases.

Figure 3

Parametric study of the Fraser-Suzuki function for deconvolution of derivative thermogravimetric biomass curves: Effect of modifying (a) height; (b) skew; (c) position; and (d) width.

Figure 4

Mass loss and component estimation using default settings for test samples: (a) Thalassia testudinum leaves; (b) Zostera marina rhizome; and (c) Zostera marina root.

Figure 5

Component estimation for Ecklonia radiata blades with default (a) and specified starting values (b).

Figure 6

Deconvolution of Juncus amabilis example dataset. Mass loss data overlaid with output of deconvolution. Rate of mass loss scaled by initial mass of sample.

Table 1

Exported functions.

FUNCTION FAMILYFUNCTION NAMEDESCRIPTION
DatajuncusExample thermogravimetric data for Juncus amabilis
DatamarsileaExample thermogravimetric data for Marsilea drumondii
Basic useprocess()Calculates the derivative rate of mass loss of thermogravimetric data
Basic usedeconvolve()Deconvolves derivative rate of mass loss data
Accessor functiontemp_bounds()Access temperature bounds used to crop data for mixture model
Accessor functionrate_data()Access processed dataframe including mass loss, rate of mass loss, and temperature
Accessor functionmodel_fit()Access fit of nonlinear mixture model
Accessor functioncomponent_weights()Access mean, upper, and lower bounds for component weight estimates
Accessor functionmodel_parameters()Access parameter estimates
Fraser-Suzuki functionfs_function()Fraser-Suzuki equation for a single peak
Fraser-Suzuki functionfs_mixture()Fraser-Suzuki mixture model equation
Fraser-Suzuki functionfs_model()Non-linear model implementation of Fraser-Suzuki mixture model
S3 methodprint(<process>)Default print method for process object (derived from process())
S3 methodplot(<process>)Default plot method for process object (derived from process())
S3 methodprint(<deconvolve>)Default print method for decon object (derived from deconvolve())
S3 methodplot(<deconvolve>)Default plot method for process object (derived from deconvolve())
DOI: https://doi.org/10.5334/jors.249 | Journal eISSN: 2049-9647
Language: English
Submitted on: Oct 19, 2018
Accepted on: Apr 12, 2021
Published on: Oct 1, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Saras M. Windecker, Peter A. Vesk, Stacey M. Trevathan-Tackett, Nick Golding, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.