کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
210051 461697 2013 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Classification of crude oil samples through statistical analysis of APPI FTICR mass spectra
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
Classification of crude oil samples through statistical analysis of APPI FTICR mass spectra
چکیده انگلیسی

Characterization and classification of crude oil is done following different approaches. Geochemistry investigations on one hand are focused on finding and quantifying markers characteristic of the oil, to provide detailed information about the geological history, the conditions of sedimentation of the oil and of the source rock. On the other hand Fourier transform ion cyclotron mass spectrometry (FTICR MS) has been proved to be a powerful tool in the analysis of crude oil at the molecular level. In this study, a group of fourteen samples of crude oil coming from different fields around the world has been analyzed through Atmospheric Pressure Photoionization (APPI) coupled to FTICR MS. Since the comparison of the many complex APPI FTICR mass spectra is complicated, we have applied statistical methods such as Principal Component Analysis (PCA) and hierarchical clustering (HCA) considering the peaks of the mass spectra. The statistical analysis has found to be able to group the oils according to the well where they have been extracted and from their geographical origin.

Figure optionsDownload as PowerPoint slideHighlights
► Statistical analysis were performed on the APPI-FTICR/MS of 14 crude oil samples.
► HCA and PCA have grouped the oils according to their geographical origin.
► This methodology can add information to the current chemical and geochemical methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuel Processing Technology - Volume 106, February 2013, Pages 181–185
نویسندگان
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