| 光谱学与光谱分析 |
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| Purification of PTCDA by Vacuum Sublimation and Spectral Test and Analysis |
| ZHANG Xu1, ZHANG Jie3, YAN Zhao-wen3, ZHOU Xing-yu2, ZHANG Fu-jia3 |
1. School of Electronics and Information Engineering, Lanzhou University of Arts and Science, Lanzhou 730000, China
2. State Key Laboratory of Applied Organic Chemistry of Lanzhou University, Lanzhou 730000, China
3. School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China |
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Abstract The organic semiconductor 3, 4, 9, 10 perylenetetracarboxylic dianhydride (PTCDA) with the purity of 97.5% was purified by sublimation to 99.9%. The high-purity PTCDA material was measured by mass spectra, infrared spectrum and X-ray photoelectron spectroscopy (XPS). Detailed analysis revealed its molecular structure, the forming of chemical bond, the vibration modes of atoms in equilibrium lattice position, electronic configuration and the shift of binding energy of atoms. Based on the infrared spectrum analysis, the molecular structure of PTCDA is consisting of perylene core group with five C rings and two anhydrides located at both ends of perylene core, which is mainly bonded with covalent bond. The stretching vibration of C atoms in the crystal lattice dominates in their equilibrium positions. The PTCDA molecules have a large number of π electrons which can move freely; the intermolecular delocalized π bond overlap determines the conductivity of PTCDA. Based on XPS analysis, it can be found that there exist two kinds of C atoms with different binding energy: 285.3 and 288.7 eV, respectively, corresponding to the C atoms in the perylene ring and anhydride. In addition, there are two kinds of O atoms, i.e. COand C—O—C, whose bonding energy is 531.3 and 533.1 eV, respectively.
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Received: 2014-05-05
Accepted: 2014-08-19
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Corresponding Authors:
ZHANG Xu
E-mail: boyzx@sina.com
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[1] Forrest S R, Kaplan M L, Schmidt P H. Journal of Applied Physics, 1984, 55: 1495.
[2] Forrest S R, Kaplan M L, Schmidt P H. Journal of Applied Physics, 1984, 56: 543.
[3] Forest S R, So F F. J. Appl. Phys., 1988, 64: 399.
[4] Fuchigami Hiroyuki, Tanimura Sachiko, Uehara Yasusshi, et al. J. Appl. Phys., 1995, 134.
[5] Kim Y，Keum J I, Lee J G, et al. Adv. Mater. Opt. Electron., 2000, 10: 273.
[6] Chen Yong, Qian Jun, Liu Xiaoyun, et al. New J. Chem., 2013, 37: 2500.
[7] Radu-Danrusu, Mariana-Dana Damaceanu, Luminita Marin, et al. Journal of Polymer Science: Part A: Polymer Chemistry, 2010, 48: 4230.
[8] ZHANG Xu(张 旭). Journal of Gansu Sciences(甘肃科学学报), 2009, 21: 54.
[9] ZHANG Fu-jia, LI Dong-cang, GUI Wen-ming(张福甲, 李东仓，桂文明). Journal of Optoelectronics·Laser(光电子·激光), 2005, 16: 897.
[10] ZHANG Xu，ZHANG Gui-ling, XU Chao(张 旭，张桂玲，胥 超). Journal of Functional Materetials and Devices(功能材料与器件学报), 2010, 16: 174.
[11] ZHANG Xu，HE Xi-yuan, WANG De-ming(张 旭，何锡源，王德明). Journal of Optoelectronics·Laser(光电子·激光), 2012, 23: 439.
[12] Zheng Daishun，Li Hairong，Wang Yanyong, et al. Applied Surface Science, 2001, 183: 165.
[13] SHI Yao-ceng(施耀曾). Spectrum and Chemical Appraisal for Organic Compound, Jiangsu Science and Technology Publishing House(有机化合物光谱和化学鉴定). Nanjing: Jiangsu Science and Technology Press(南京：江苏科学技术出版社)，1992. 161.
[14] ZHANG Xu, ZHANG Jie, YAN Zhao-wen, et al(张 旭，张 杰，闫兆文，等). Chinese Journal of Luminescence(发光量报)，2014，35：1459.
[15] Krause B, Dürn A C, Ritley K, et al. Physical Review B, 2002, 66: 235404. |
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