光谱学与光谱分析 |
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Study on Quantitative Analysis of Cross Linked Copolymer by IR |
SHAO Qiong-fang1,2,DONG Ming1,CHEN Shuai-hua2,WEI Chao2,XIE Xiao-hong2 |
1. Department of Chemical Engineering, Ningbo University of Technology, Ningbo 315016, China 2. Department of Chemistry, Jiangxi Science and Technology Teacher’s College, Nanchang 330013, China |
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Abstract Cross linked copolymer silicon oil-Co-lactide(Si-co-LA) was analyzed quantitatively by IR. Potassium sulfocyanate(KSCN) was chosen as an inside mark material, because it has only one strong absorption peak at 2 100 cm-1 and the peak was chosen as its quantitative peak. The peak at 1 750 cm-1 is the characteristic absorption of carbonyl and was chosen as the quantitative peak of lactide(LA). The ratio of the two absorbencies is I, and I=ALA/AKSCN. KSCN and LA were mixed according to a certain mass ratio C=MLA/MKSCN to prepare standard samples. The curve of C versus I is the quantitative work curve. The result of the experiment indicates that the work curve has good linearity in the range of 2/5<MLA/MKSCN<8/5. The formulas calculating the proportion of every component in the cross linked copolymer were established: MKSC/Mp=B,MLA/MKSCN=C, and (MLA/Mp)×100%=BC×100%. Cross Linked Copolymer is hard to be analyzed quantitatively, because of its no dissolving and no melting. A convenient method of determining the component of the cross linked copolymer or other copolymer has been provided.
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Received: 2006-09-09
Accepted: 2007-07-12
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Corresponding Authors:
SHAO Qiong-fang
E-mail: shaoqf85@163.com
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Cite this article: |
SHAO Qiong-fang,DONG Ming,CHEN Shuai-hua, et al. Study on Quantitative Analysis of Cross Linked Copolymer by IR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(12): 2445-2447.
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URL: |
https://www.gpxygpfx.com/EN/Y2007/V27/I12/2445 |
[1] WU Hong, LIN Zhi-yong, QIAN Hao(吴 宏, 林志勇, 钱 浩). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(1): 70. [2] Kontoyannis C G, Bouiopoulos N, Dauaher H H, et al. Applied Spectroscopy, 2000, 54(2): 225. [3] SHAO Qiong-fang, DONG Ming, XIE Xiao-hong,et al(邵琼芳, 董 明, 谢小红, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2004, 24(6): 698. [4] Bosch Reig F, Gimeno Adelantado J V. Talanta, 2002, 58(4):81.1 [5] YANG Jun, ZHU Xiao-lan, SU Qing-de, et al(杨 俊,朱晓兰,苏庆德,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007,27(6):1152. [6] LIU Ming-yang, MENG Yu, REN Yu-lin, et al(刘名扬,孟 昱,任玉林,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007,27(6):1098. [7] ZHANG Lin, CHEN Hong-yuan, WANG Ling-xiao, et al(张 林,陈宏愿,王灵肖,等). Petrochemical Industry Technology(石化技术),2006,13(4):41. [8] LIU Jie, HE Jia-song(刘 杰,何嘉松). Acta Polymerica Sinica(高分子学报),1997,(5):620. [9] LU Yan, JING Xia-bin(卢 琰,景遐斌). Acta Polymerica Sinica(高分子学报),1990,(5):604. [10] LI Yan, WU Ran-ran, YU Bai-hua, et al(李 燕,吴然然,于佰华,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2006,26(10):1846. |
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