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제124회 대한화학회 학술발표회, 총회 및 기기전시회 안내 Average structure parameters of Asphaltenes by Magnetic resonance spectroscopy

2019년 8월 29일 15시 59분 43초
ANAL.P-165 이곳을 클릭하시면 발표코드에 대한 설명을 보실 수 있습니다.
10월 18일 (금요일) 11:00~12:30
Analytical Chemistry
저자 및
Yongnam Joe
Analysis unit, Sk Innovation, Korea
Petroleum derived asphaltenes are known to be the most complex fraction of crude oil. They are also known to be coke precursors in refinery process resulting in several problems such as catalyst deactivation and poisoning because of their tendency to flocculate and precipitate during oil upgrading process. It is neeed to understand more thoroughly the structures and behaviors of asphaltenes to predict their chemistry during refining process. However, petroleum asphaltenes are very complex aromatic molecules surrounded and linked by aliphatic chains. The inherent complexity of asphaltenes hinders a full identification of their constituents. A great variety of analytical techniques including various types of chromatographic methods and spectroscopic methods have been employed to investigate asphaltene molecular structure and still many things are going on. Among them NMR is a powerful analytical method as it allows to quantify different types of protons and carbons. Average structure parameters such as aromaticity, degree of ring condensation and alkyl chain length can be evaluated by means of NMR. Also, asphaltenes contain unpaired electrons and form complexes with vanadium. By EPR analysis organic asphaltene radical and vanadyl porphyrin can be discriminated. EPR can detect these species in order to determine the asphaltene content and can be used to understand the characteristics of asphaltenes. It can be used to predict reactivity of refinery process such as hydrotreating demetalization process. In this work, we present the magnetic resonance spectroscopic work such as Liquid-NMR, Solid-NMR and EPR on petroleum derived asphaltenes in order to evaluate the structural aspects that could be correlated with crude oil behavior in thermal process.