| 光谱学与光谱分析 |
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| Applications of Real-Time Measurement Technology with Raman Spectroscopy for Polymer Synthesis and Processing |
| JIN Gang, HUANG Xi, CHEN Ru-huang |
| National Engineering Research Center of Novel Equipment for Polymer Processing, The Key Laboratory of Polymer Processing Engineering of Ministry of Education, South China University of Technology, Guangzhou 510641, China |
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Abstract The process of polymer synthesis and processing affects the degree of polymerization, crystallinity, orientation and the uniformity of blending components, which ultimately influences the performance of polymer products. Therefore, real-time monitoring of material properties is very important in the process of polymer synthesis and processing. Real-time measurement technology with Raman spectroscopy has been widely applied in the field of polymer synthesis and processing, since it features non-destructive testing, easy sampling and high reliability. It has no specific requirements for the sample’s thickness, shape and state, and it realizes the measurement in high temperature, high pressure and toxic environment directly. Real-time Raman spectroscopy can analyze material chemical composition and physical properties. It controls the process of polymer synthesis and processing to improve the performance of polymeric products. In this paper, the research progress in real-time measurement of polymerization conversion, polymer particle size and distribution, crystallinity, orientation, and components content in multiphase blend polymers with Raman spectroscopy is discussed. The application of real-time measurement technology with Raman spectroscopy has great potential.
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Received: 2015-05-20
Accepted: 2015-09-11
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Corresponding Authors:
JIN Gang
E-mail: pmrdd@scut.edu.cn
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[1] Alig I, Steinhoff B, Lellinger D. Measurement Science and Technology, 2010, 21(6): 062001.
[2] Frauendorfer E, Wolf A, Hergeth W D. Chemical Engineering & Technology, 2010, 33(11): 1767.
[3] Chevrel M C, Brun N, Hoppe S, et al. Chemical Engineering Science, 2014, 106: 242.
[4] Hardis R, Jessop J L P, Peters F E, et al. Composites Part A: Applied Science and Manufacturing, 2013, 49: 100.
[5] Barnes S, Sibley M, Edwards H, et al. Transactions of the Institute of Measurement and Control, 2007, 29(5): 453.
[6] Reis M M, Araújo P H H, Sayer C, et al. Analytica Chimica Acta, 2007, 595(1-2): 257.
[7] Smith E, Dent G. Modern Raman Spectroscopy: a Practical Approach. John Wiley & Sons, 2013.
[8] McCreery R L. Raman Spectroscopy for Chemical Analysis. John Wiley & Sons, 2005.
[9] Brun N, Chevrel M C, Falk L, et al. Chemical Engineering & Technology, 2014, 37(2): 275.
[10] Castor C A, Pontier A, Durand J, et al. Chemical Engineering Science, 2015, 131: 340.
[11] Elizalde O, Asua J M, Leiza J R. Applied Spectroscopy, 2005, 59(10): 1270.
[12] Ito K, Kato T, Ona T. Journal of Raman Spectroscopy, 2002, 33(6): 466.
[13] Reis M M, Araújo P H H , Sayer C, et al. Polymer, 2003, 44(20): 6123.
[14] Santos J C, Reis M M, Machado R A F, et al. Industrial & Engineering Chemistry Research, 2004, 43(23): 7282.
[15] Cherukupalli S S, Gottlieb S E, Ogale A A. Journal of Applied Polymer Science, 2005, 98(4): 1740.
[16] Paradkar R P, Sakhalkar S S, He X J, et al. Journal of Applied Polymer Science, 2003, 88(2): 545.
[17] Paradkar R P, Sakhalkar S S, He X J, et al. Applied Spectroscopy, 2001, 55(5): 534.
[18] Gururajan G, Ogale A A. Journal of Raman Spectroscopy, 2009, 40(2): 212.
[19] Barnes S E, Brown E C, Sibley M G, et al. Applied Spectroscopy, 2005, 59(5): 611.
[20] Barnes S E, Brown E C, Sibley M G, et al. The Analyst, 2005, 130(3): 286.
[21] Alig I, Fischer D, Lellinger D, et al. Macromolecular Symposia, 2005, 230(1): 51. |
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