Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Characterization Techniques Coupled With Mathematical Tools for Deepening Asphaltenes Structure

Version 1 : Received: 16 November 2021 / Approved: 17 November 2021 / Online: 17 November 2021 (12:54:15 CET)

How to cite: Apicella, B.; Ciajolo, A.; Carpentieri, A.; Popa, C.; Russo, C. Characterization Techniques Coupled With Mathematical Tools for Deepening Asphaltenes Structure. Preprints 2021, 2021110308 (doi: 10.20944/preprints202111.0308.v1). Apicella, B.; Ciajolo, A.; Carpentieri, A.; Popa, C.; Russo, C. Characterization Techniques Coupled With Mathematical Tools for Deepening Asphaltenes Structure. Preprints 2021, 2021110308 (doi: 10.20944/preprints202111.0308.v1).

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 & Fuel Technology

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