Application of chemometrics to identifying solid fuels and their origin

摘要

The aim of this work was to implement a chemometric analysis to detect the relationships between the analysed variables in samples of solid fuels. Effor ts are being made to apply chemometrics methods in environmental issues by developing methods for the rapid assessment of solid fuels and their compliance with the required emission characteristics regulations. In the present investigation, two clustering techniques-hierarchical clustering analysis (HCA) and principal components analysis (PCA)-are used to obtain the linkage between solid fuel proper ties and the type of sample. These analyses allowed us to detect the relationships between the studied parameters of the investigated solid fuels. Fur thermore, the usefulness of chemometrics methods for identifcation of the origin of biofuels is shown. These methods will enable control of the degree of contamination.