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Published on: March 3, 2017
Microextraction and its application for petroleum and crude oil samples
Mohammed Altahir Suliman1, Taofiq Abdulraheem Olarewaju1, Chanbasha Basheer1
1Department of Chemistry, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.
Microextraction techniques offer a faster, simpler alternative to traditional American Society for Testing and Materials (ASTM) methods for analyzing complex petroleum and petrochemical samples. This approach reduces sample preparation time and volume, aiding automation in the industry.
Area of Science:
- Petroleum Chemistry
- Analytical Chemistry
- Separation Science
Background:
- Petroleum is a complex mixture of aliphatic, aromatic, and heteroatom-containing compounds.
- American Society for Testing and Materials (ASTM) methods are standard for petroleum analysis but require extensive sample preparation.
- There is a need for rapid, automated, and simpler sample preparation techniques in petrochemical analysis.
Purpose of the Study:
- To review microextraction techniques as a complementary approach to existing petroleum sample preparation methods.
- To discuss solvent- and sorbent-based microextraction for petroleum, crude oil, and petrochemical industry samples.
Main Methods:
- Literature review of microextraction techniques applied to petroleum and petrochemical samples.
- Focus on solvent-based microextraction.
- Focus on sorbent-based microextraction.
Main Results:
- Microextraction techniques demonstrate significant potential for simplifying and accelerating petroleum sample preparation.
- These methods can effectively handle the heterogeneity of petroleum and crude oil matrices.
- Microextraction offers a viable alternative or complement to conventional ASTM procedures.
Conclusions:
- Microextraction is an excellent complement to current petroleum analysis methods.
- Solvent and sorbent-based microextraction techniques are suitable for petroleum and petrochemical industry samples.
- Further development in microextraction can lead to more efficient and automated analytical workflows.
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