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

Abstract

Plant cell wall biomass is composed of a range of different types of carbon-based compounds. The proportions of the primary carbon types affect how cell walls decompose, an important ecosystem process because their decay contributes to soil carbon. Traditionally, these components are estimated using wet chemistry methods that can be costly and degrade the environment. Thermogravimetric analysis is an alternative method, already used by biofuel researchers, that involves pyrolysing dry, ground plant litter and estimating contribution of carbon components from a resulting mass decay curve. Because carbon types break down relatively independently, we can apply a mixture model to the multi-peaked rate of mass loss curve to identify mass loss of each carbon component. The <span style="font-family: monospace;">mixchar</span> package conducts this peak separation analysis in an open-source and reproducible way using R. <span style="font-family: monospace;">mixchar</span> has been tested over a range of plant litter types, composed primarily of the fiber components: hemicellulose, cellulose, and lignin.