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Open Chemistry

formerly Central European Journal of Chemistry

IMPACT FACTOR 2018: 1.512
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Volume 11, Issue 2


Volume 13 (2015)

Application of chemometrics to identifying solid fuels and their origin

Marcin Sajdak
Published Online: 2012-11-29 | DOI: https://doi.org/10.2478/s11532-012-0145-8


The aim of this work was to implement a chemometric analysis to detect the relationships between the analysed variables in samples of solid fuels. Efforts 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 properties and the type of sample. These analyses allowed us to detect the relationships between the studied parameters of the investigated solid fuels. Furthermore, the usefulness of chemometrics methods for identification of the origin of biofuels is shown. These methods will enable control of the degree of contamination.

Keywords: Hierarchical clustering analysis; Data mining; Solid fuels; Biomass; Principal components analysis

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About the article

Published Online: 2012-11-29

Published in Print: 2013-02-01

Citation Information: Open Chemistry, Volume 11, Issue 2, Pages 151–159, ISSN (Online) 2391-5420, DOI: https://doi.org/10.2478/s11532-012-0145-8.

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© 2013 Versita Warsaw. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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