Mixture Model for the Deconvolution of Thermal Decay Curves
Accessor function to extract mean weights
Deconvolves Thermogravimetric Data
Fraser-Suzuki function for a single curve
Fraser-Suzuki mixture model
Non-linear model using Fraser-Suzuki mixture model
Calculate weight quantiles
Function to determine x-value of peak < 500 K
Accessor function to extract model fit
Accessor function to extract model parameters
This function evaluates root mean squared error of a model
Optimise parameters
Default S3 plot method for decon objects (derived from deconvolve())
Default S3 plot method for process objects (derived from process())
Default S3 print method for decon object (derived from deconvolve())
Default S3 print method for process object (derived from process())
Calculates the derivative rate of mass loss of thermogravimetric data
Accessor function to extract processed dataframe
Calculate room mean squared error
Accessor function to extract selected temperature bounds
Function to convert inflection point to logical argument for presence ...
Calculate weight quantiles
Calculate weight single component
Deconvolution of thermal decay curves allows you to quantify proportions of biomass components in plant litter. Thermal decay curves derived from thermogravimetric analysis (TGA) are imported, modified, and then modelled in a three- or four- part mixture model using the Fraser-Suzuki function. The output is estimates for weights of pseudo-components corresponding to hemicellulose, cellulose, and lignin. For more information see: Müller-Hagedorn, M. and Bockhorn, H. (2007) <doi:10.1016/j.jaap.2006.12.008>, Órfão, J. J. M. and Figueiredo, J. L. (2001) <doi:10.1016/S0040-6031(01)00634-7>, and Yang, H. and Yan, R. and Chen, H. and Zheng, C. and Lee, D. H. and Liang, D. T. (2006) <doi:10.1021/ef0580117>.