| 光谱学与光谱分析 |
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| Study on the Synthesis, Characterization of Structure and Fluorescence Properties of the Solid Complex of Europium Ion with 1,10-Phenanthroline and 2-Thiopheneglyoxylic Acid |
| YU Bin1, SUN Bo1*, ZHAO Ying2, YAN Xiao-qi1 |
1. Department of Material Chemistry, College of Chemistry, Nankai University, Tianjin 300071, China
2. State Key Laboratory of Polymer Physics and Chemistry, Institute of Chemistry，Chinese Academy of Sciences, Beijing 100080, China |
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Abstract The complex of europium with 1, 10-phenanthroline and 2-thiopheneglyoxylic acid (HL) was synthesized. Its chemical formula was determined to be [EuL2·phen·(H2O)3]NO3 by elemental analysis, electrical conductivity, IR and 1H NMR. It was found that the europium ion coordinated to the O atoms of 2-thiopheneglyoxylic acid and H2O, and to the N atoms of 1,10-phenanthroline. Its fluorescence property was determined by the excitation and emission spectra at room temperature, the emission peaks at 592 and 618 nm were assigned to the 5D0-7F1 and 5D0-7F2, respectively. It was also observed that the title complex emits strong red fluorescence under ultraviolet light at room temperature. In the IR spectrum, the characteristic absorptionνCO(1 719cm-1)，νC—O(1 232 cm-1)，δO—H(909 cm-1) of 2-thiopheneglyoxylic acid disappeared in the complex, the νas and νs of —COO- appeared at 1 642 and 1 408 cm-1 in the complex respectively. In 1H NMR, the signals of 2-thiopheneglyoxylic acid were shifted upfield, and those of 1,10-phenanthroline downfield. It is proved by the TG curve that the complex is stable from ambient temperature to 250 ℃.
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Received: 2003-09-03
Accepted: 2003-12-26
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Corresponding Authors:
SUN Bo
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| Cite this article: |
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YU Bin,SUN Bo,ZHAO Ying, et al. Study on the Synthesis, Characterization of Structure and Fluorescence Properties of the Solid Complex of Europium Ion with 1,10-Phenanthroline and 2-Thiopheneglyoxylic Acid [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2004, 24(12): 1571-1574.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2004/V24/I12/1571 |
[1] Weissman S. I. J. Chem. Phys., 1942，10: 214.
[2] XU Yong-yuan, Hemmil I A, Lvgren T N E. Analyst., 1992, 117(7): 1061.
[3] Georges J. Analyst., 1993，118(12): 1481.
[4] Ger. Offen. 2, 528, 786 (cl. C07 DC).
[5] LI Xia, DENG Yu-heng, LI Wen-jun(李 夏, 邓玉恒, 李文君). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，1999, 19(6): 821.
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