Your browser doesn't support javascript.
loading
Unraveling the Molecular Structures of Asphaltenes by Atomic Force Microscopy.
Schuler, Bruno; Meyer, Gerhard; Peña, Diego; Mullins, Oliver C; Gross, Leo.
Afiliação
  • Schuler B; †IBM Research - Zurich, Säumerstrasse 4, 8803 Rüschlikon, Switzerland.
  • Meyer G; †IBM Research - Zurich, Säumerstrasse 4, 8803 Rüschlikon, Switzerland.
  • Peña D; ‡CIQUS and Facultad de Química, Universidad de Santiago de Compostela, E-15782 Santiago de Compostela, Spain.
  • Mullins OC; §Schlumberger-Doll Research, Cambridge, Massachusetts 02139, United States.
  • Gross L; †IBM Research - Zurich, Säumerstrasse 4, 8803 Rüschlikon, Switzerland.
J Am Chem Soc ; 137(31): 9870-6, 2015 Aug 12.
Article em En | MEDLINE | ID: mdl-26170086
ABSTRACT
Petroleum is one of the most precious and complex molecular mixtures existing. Because of its chemical complexity, the solid component of crude oil, the asphaltenes, poses an exceptional challenge for structure analysis, with tremendous economic relevance. Here, we combine atomic-resolution imaging using atomic force microscopy and molecular orbital imaging using scanning tunnelling microscopy to study more than 100 asphaltene molecules. The complexity and range of asphaltene polycyclic aromatic hydrocarbons are established in detail. Identifying molecular structures provides a foundation to understand all aspects of petroleum science from colloidal structure and interfacial interactions to petroleum thermodynamics, enabling a first-principles approach to optimize resource utilization. Particularly, the findings contribute to a long-standing debate about asphaltene molecular architecture. Our technique constitutes a paradigm shift for the analysis of complex molecular mixtures, with possible applications in molecular electronics, organic light emitting diodes, and photovoltaic devices.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article