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Efficiency of GC-MS method in detection of beeswax adulterated with paraffin Cover

Efficiency of GC-MS method in detection of beeswax adulterated with paraffin

Open Access
|Jun 2016

Abstract

The efficiency of the gas chromatography - mass detector (GC-MS) technique for the detection of beeswax adulterated with paraffin, was evaluated. For this purpose, beeswax samples with paraffin additions (3, 5, 10, 30, 50%) were analysed. Since not enough is known about paraffin compositions, and since it is difficult to detect paraffin in beeswax, the aim of our research was also to compare the hydrocarbon composition of different types of paraffin. The analysis showed that the types of paraffin available on the market, differ qualitatively and quantitatively as far as their hydrocarbon compositions are concerned. In all kinds of paraffin, we found homologous series of n-alkanes that were much longer than those in beeswax. In beeswax, the amount of added paraffin that is possible to detect, differs and depends on the kind of paraffin used for adulteration. In this study, the minimum estimated percent that was detected using the GC-MS technique, was 3%. The adulteration is indicated by the presence of hydrocarbons containing over 35 carbon atoms in the molecule, and by the higher contents of n-alkanes (C20H42 - C35H72), in comparison to the concentration of these compounds determined in pure beeswax. We also presented the results of the quality control of commercial beeswax. Based on our results, it can be stated that beeswax adulteration is currently a problem.

DOI: https://doi.org/10.1515/jas-2016-0012 | Journal eISSN: 2299-4831 | Journal ISSN: 1643-4439
Language: English
Page range: 145 - 162
Submitted on: Apr 15, 2016
Accepted on: May 10, 2016
Published on: Jun 3, 2016
Published by: Research Institute of Horticulture
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2016 Ewa Waś, Teresa Szczęsna, Helena Rybak-Chmielewska, published by Research Institute of Horticulture
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.