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Chin. Opt. Lett.
 Home  List of Issues    Issue s1 , Vol. 09 , 2011    10.3788/COL201109.s10505


Identification of pour point depressant by terahertz time-domain spectroscopy
Hui Zhao1;2, Lu Tian2, Kun Zhao1;2;4, Qingli Zhou3, Yulei Shi3, Dongmei Zhao3, Songqing Zhao2, Cunlin Zhang3
1 State Key Laboratory of Heavy Oil Processing, [China University of Petroleum], Beijing 102249, China
2 Laboratory of Optic Sensing and Detecting Technology, [China University of Petroleum], Beijing 102249, China
3 Beijing Key Laboratory for Terahertz Spectroscopy and Imaging, Key Laboratory of Terahertz Optoelectronics, Ministry of Education, Department of Physics, [Capital Normal University], Beijing 100048, China
4 [International Center for Materials Physics, Chinese Academy of Sciences], Shenyang 110016, China

Chin. Opt. Lett., 2011, 09(s1): pp.s10505

DOI:10.3788/COL201109.s10505
Topic:Terahertz Spectroscopy and Imaging
Keywords(OCIS Code): 300.6495  300.6250  

Abstract
The frequency-dependent absorption coefficients and refractive indexes of three selected pour point depressants (PPDs) are extracted within the spectral range of 0.2–2.5 THz using terahertz time-domain spectroscopy (THz-TDS). The selected PPDs are also characterized by the middle-infrared spectrum. The experimental results reveal that PPD is more sensitive in the THz range than that in the middle-infrared range. Moreover, the different compositions of PPD can be identified according to their different spectral features in the THz range. Due to its properties of better repeatability, shorter testing time, and easier operation, THz-TDS can be used as a complement for identifying the chemical compositions of PPD.

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Received:2010/11/30
Accepted:2011/1/30
Posted online:2011/6/27

Get Citation: Hui Zhao, Lu Tian, Kun Zhao, Qingli Zhou, Yulei Shi, Dongmei Zhao, Songqing Zhao, Cunlin Zhang, "Identification of pour point depressant by terahertz time-domain spectroscopy," Chin. Opt. Lett. 09(s1), s10505(2011)

Note: This work was supported by the Program for New Century Excellent Talents in University (No. NCET-08-0841), the National Natural Science Foundation of China (Nos. 50672132, 60778034, and 60877038), the Research Fund for the Doctoral Program of Higher Education (No. 200804250006), the State Key Laboratory of Heavy Oil Processing, China University of Petroleum (No. 2008-14), and the Foresight Fund Program from China University of Petroleum.



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