Apicella, B.; Ciajolo, A.; Carpentieri, A.; Popa, C.; Russo, C. Characterization Techniques Coupled with Mathematical Tools for Deepening Asphaltene Structure. Fuels2022, 3, 75-84.
Apicella, B.; Ciajolo, A.; Carpentieri, A.; Popa, C.; Russo, C. Characterization Techniques Coupled with Mathematical Tools for Deepening Asphaltene Structure. Fuels 2022, 3, 75-84.
Apicella, B.; Ciajolo, A.; Carpentieri, A.; Popa, C.; Russo, C. Characterization Techniques Coupled with Mathematical Tools for Deepening Asphaltene Structure. Fuels2022, 3, 75-84.
Apicella, B.; Ciajolo, A.; Carpentieri, A.; Popa, C.; Russo, C. Characterization Techniques Coupled with Mathematical Tools for Deepening Asphaltene Structure. Fuels 2022, 3, 75-84.
Abstract
Asphaltenes constitute a heavy fraction of fossil fuels and their characterization is still a very difficult and challenging issue due to their complex and variable composition. Asphaltene components are highly condensed aromatic molecules having some heteroatom and aliphatic functionalities. Their molecular weights distribution span a wide range, from hundreds to millions of units, in dependence on the diagnostic used, leading to speculation about possible occurrence of self-aggregation. In the present work, mass spectrometry, with properly developed mathematical methods, size ex-clusion chromatography and X-ray diffraction analysis have been applied to asphaltenes for giving some further insight on their MW distribution and characteristics. The results here reported give further quantitative support to the experimental data interpretation already reported in previous works.
Keywords
Asphaltenes; mass spectrometry; DBE; Size exclusion chromatography; XRD; Aliphaticity
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.