光谱学与光谱分析 |
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Quantitative Analysis of Surface Composition of Polypropylene Blends Using Attenuated Total Reflectance FTIR Spectroscopy |
CHEN Han-jia1,2,ZHU Ya-fei3,ZHANG Yi2,XU Jia-rui2* |
1.School of Science, Shantou University, Shantou 515063, China 2.School of Chemistry and Chemical Engineering, Key Laboratory for Polymeric Composite and Functionality Materials of Ministry of Education, Materials Science Institute, Sun Yat-Sen University, Guangzhou 510275, China 3.Instrument and Testing Center, Sun Yat-Sen University, Guangzhou 510275, China |
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Abstract The surface composition and structure of solid organic polymers influence many of their properties and applications.Oligomers such as poly(ethylene glycol) (PEG), poly(methyl methacrylate) (PMMA) poly(butyl methacrylate) (PBMA) and their graft copolymers of polybutadiene and polypropylene were used as the macromolecular surface modifiers of polypropylene.The compositions on surface and in bulk of the polypropylene(PP) blends were determined quantitatively using attenuated total reflectance FTIR spectroscopic (ATR-FTIR) technique with a variable-angle multiple-reflection ATR accessory and FTIR measurements, respectively.By validating by Lambert- Beer law, 1 103 and 1 733 cm-1 can be used to represent modifiers characteristic absorbance band to determine quantitatively the surface composition of modifiers including poly(ethylene glycol) and carbonyl segment in PP blends, respectively.The determination error can be effectively eliminated by calibrating wavelength and using absorption peak area ratio as the calibrating basis for the quantitative analysis.To minimize the effect of contact between the polymer film and the internal reflection element on the results of absolute absorbance, the technique of “band ratioing” was developed, and it was testified that the error of the peak area ratios of interest can be reduced to 5% or below, which was suitable for ATR-FTIR used as a determining quantitative tool for surface composition.The working curves were then established and used to calculate the composition of the responding functional groups in the film surface of the PP blends.The depth distribution of modifiers on the surface of blend films also can be determined by changing the incident angle of interest on the basis of the equation of the depth of penetration of the excursion wave in ATR spectra.The results indicated that ATR-FTIR can be used to determine quantitatively the surface composition and distribution of modifiers with reproducible and reliable measurement results.
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Received: 2006-05-10
Accepted: 2006-08-20
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Corresponding Authors:
XU Jia-rui
E-mail: xjr@mail.sysu.edu.cn
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[1] QIAN Hao, ZHU Ya-fei, XU Jia-rui(钱 浩, 祝亚非, 许家瑞).Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2003, 23(4):708. [2] YANG Qun, WANG Yi-lin, YAO Jie, et al(杨 群, 王怡林, 姚 杰, 等).Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(12):2219. [3] JIANG Zhi, YUAN Kai-jun, LI Shu-fen, et al(江 治, 袁开军, 李疏芬, 等).Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(4):624. [4] Bergberiter D E, Srinivas B.Macromolecules, 1992, 25:636. [5] Lee K W, Kowalczyk S P, Shaw J M.Macromolecules, 1990, 23:2097. [6] Francis M, Mirabella J R.Appl.Spectrosc.Rev., 1985, 21:45. [7] Francis M, Mirabella J R.J.Polym.Sci.Polym.Phys.Edition, 1985, 23:861. [8] CHEN Han-jia, ZHU Ya-fei, ZHANG Yi, et al(陈汉佳, 祝亚非, 张 艺, 等).Acta Polymerical Sinica(高分子学报), 2007, (2):203. [9] CHEN Han-jia, ZHU Ya-fei, ZHANG Yi, et al.Journal of Applied Polymer Science, 2006, 102:3413. [10] CHEN Han-jia, ZHU Ya-fei, ZHANG Yi, et al(陈汉佳, 祝亚非, 张 艺, 等).China Plastics Industry(中国塑料工业), 2006, 34:11. [11] CHEN Xu-dong, XU Jia-ru (陈旭东,许家瑞).Journal of Functional Polymer(功能高分子学报),1998,11(4):550. [12] Bergbreiter D E,Walchuk B,Holtzman B,et al.Macromolecules,1998,31:3417. [13] Wllford N Hansen.Spectrochimica Acta, 1965, 21:815. [14] Fieldson G T, Barbari T A.AICHE.Journal, 1995,41(4):795. [15] Shick R A, Koenig J L, Ishida H.Appl.Spectrosc., 1993, 47(8):1237. [16] Harrick N J.Internal Reflection Spectroscopy.New York:Harrick Scientific Corp.,1967. |
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