<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Pattern recognition method (PRM) was applied to gas chromatographic (GC) data for a fatty acid methyl esters (FAME) composition of commercial and laboratory synthesized biodiesel fuels from vegetable oils including sunflower, rapeseed, corn and palm oils. Two GC quantitative methods to calculate individual fames were compared: Area % and internal standard. The both methods were applied for analysis of two certified reference materials. The statistical processing of the obtained results demonstrates the accuracy and precision of the two methods and allows them to be compared. For further chemometric investigations of biodiesel fuels by their FAME-profiles any of those methods can be used. PRM results of FAME profiles of samples from different vegetable oils show a successful recognition of biodiesels according to the feedstock. The information obtained can be used for selection of feedstock to produce biodiesels with certain properties, for assessing their interchangeability, for fuel spillage and remedial actions in the environment.</p></abstract>

Pattern recognition method (PRM) was applied to gas chromatographic (GC) data for a fatty acid methyl esters (FAME) composition of commercial and laboratory synthesized biodiesel fuels from vegetable oils including sunflower, rapeseed, corn and palm oils. Two GC quantitative methods to calculate individual fames were compared: Area % and internal standard. The both methods were applied for analysis of two certified reference materials. The statistical processing of the obtained results demonstrates the accuracy and precision of the two methods and allows them to be compared. For further chemometric investigations of biodiesel fuels by their FAME-profiles any of those methods can be used. PRM results of FAME profiles of samples from different vegetable oils show a successful recognition of biodiesels according to the feedstock. The information obtained can be used for selection of feedstock to produce biodiesels with certain properties, for assessing their interchangeability, for fuel spillage and remedial actions in the environment.

Determination and discrimination of biodiesel fuels by gas chromatographic and chemometric methods

University “Prof. Dr. Assen Zlatarov“, Bourgas 8010, Bulgaria

University of Plovdiv “Paisii Hilendarski”, Plovdiv, Bulgaria

Konstantin Preslavski University of Shumen, Shumen, Bulgaria

Acta Scientifica Naturalis

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Pattern recognition method (PRM) was applied to gas chromatographic (GC) data for a fatty acid methyl esters (FAME) composition of commercial and laboratory...

Determination and discrimination of biodiesel fuels by gas chromatographic and chemometric methods

Data publikacji: 26 mar 2016

Zakres stron: 26 - 33

Otrzymano: 30 paź 2015

Przyjęty: 11 mar 2016

DOI: https://doi.org/10.1515/asn-2016-0004

Słowa kluczowe
biodiesel fuel, fatty acid methyl esters, gas chromatography, vegetable oil, animal fat

© 2016

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Determination and discrimination of biodiesel fuels by gas chromatographic and chemometric methods

Data publikacji: 26 mar 2016

Zakres stron: 26 - 33

Otrzymano: 30 paź 2015

Przyjęty: 11 mar 2016

DOI: https://doi.org/10.1515/asn-2016-0004

Słowa kluczowebiodiesel fuel, fatty acid methyl esters, gas chromatography, vegetable oil, animal fat

© 2016

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Słowa kluczowe
biodiesel fuel, fatty acid methyl esters, gas chromatography, vegetable oil, animal fat