光谱学与光谱分析 |
|
|
|
|
|
Preparation of N-Doped Nanosize TiO2 and Spectral Analysis |
JIN Zhen-xing1,HUANG Hong-yan1,LIU Shou-xin2 |
1. Institute of Liaoxi Ecological Environment Science, Bohai University, Jinzhou 121013, China 2. College of Material Science and Engineering, Northeast Forestry Univercity, Harbin 150040, China |
|
|
Abstract Nitrogen-doped nanosize TiO2 was prepared by sol-gel method with TBT and EDA as forerunner body,ethanol as solvent and glacial acetic acid as inhibitor. The crystalline structure and spectrum character were characterzed. According to the curves of differential thermal gravimetric analysis(TG/DTA), the crystal transformation temperature and the best calcining temperature of the obtained samples were determined. According to the ultraviolet-visible diffuse reflection spectrum(UV-Vis/DRS), the spectral absorption characteristic of the obtained samples was characterized; According to the X-ray diffraction spectrum (XRD), the particle size and crystalline phase structure of the prepared samples were determined; and according to the X-ray photoelectron spectrum(XPS), the superficial composition of the prepared samples was analyzed. The relations between the red shift degree of absorption band and the proportion of EDA/TBT and calcining temperature were investigated in this experiment. The results indicate that the crystal phase of the obtained nitrogen-doped TiO2 is anatase, and the absorption band has a red shift obviously. Both the proportion of EDA/TBT and the calcining temperature have an evident effect on the spectral absorption of the prepared samples . When the mol proportion of EDA/TBT is 1∶10 and the calcining temperature is 600 ℃, the spectral absorption of the prepared samples is the strongest.
|
Received: 2006-10-09
Accepted: 2007-01-16
|
|
Corresponding Authors:
JIN Zhen-xing
E-mail: jinzhenxing1954@163.com
|
|
[1] ZHU Yong-fa, LI Wei(朱永法, 李 巍). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2003,23(3): 494. [2] YE Zhao, ZHANG Han-hui(叶 钊, 张汉辉). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2003,23(3): 487. [3] CHEN Wei, SUN Shi-gang(陈 卫, 孙世刚). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2002,22(3): 504. [4] Kobayakawa K, Murakami Y, Sato Y. J. Photochem. Photobiol. A, Chemistry,2005, 170(2): 177. [5] Hagfeld Anders. Solar Energy Mater. & Solar Cells, 1994, 32(3): 245. [6] Gratzel Michael, Shklover V. Inorg Chem., 1997, 36(25): 5937. [7] Asahi R, et al. Science,2001,293(7): 269. [8] Lindgren T, Mwabora J M, Avendano E, et al. J. Phys. Chem. B,2003, 107: 5709. [9] Irie H, Watanabe Y, Hashimoto K. J. Phys. Chem. B,2003, 107: 5483. [10] Sato S. Chem. Phys. Lett., 1986, 123(1-2): 126. [11] Lu M Ch, Roam G D, Chen J N, et al. J. Photochem. Photobiol. A, 1993, 76(1-2): 103. [12] Mabora J M, Lindgren T, Avendano E, et al. J. Phys. Chem. B,2004, 108: 20193. [13] YIN Yong-jia(印永嘉). Physical Chemistry Concise Handbook(物理化学简明手册). Beijing: Higher Education Press(北京:高等教育出版社),1988. 370. |
[1] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
[2] |
LI Yu1, ZHANG Ke-can1, PENG Li-juan2*, ZHU Zheng-liang1, HE Liang1*. Simultaneous Detection of Glucose and Xylose in Tobacco by Using Partial Least Squares Assisted UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 103-110. |
[3] |
BAI Xue-bing1, 2, SONG Chang-ze1, ZHANG Qian-wei1, DAI Bin-xiu1, JIN Guo-jie1, 2, LIU Wen-zheng1, TAO Yong-sheng1, 2*. Rapid and Nndestructive Dagnosis Mthod for Posphate Dficiency in “Cabernet Sauvignon” Gape Laves by Vis/NIR Sectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3719-3725. |
[4] |
ZHENG Shu-yuan1, 2, HAI Yan1, 2, HE Meng-qi1, 2, WANG Jian-xiong1, 2. Construction of Vegetation Index in Visible Light Band of GF-6 Image With Higher Discrimination[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3509-3517. |
[5] |
WANG Yi-ru1, GAO Yang2, 3, WU Yong-gang4*, WANG Bo5*. Study of the Electronic Structure, Spectrum, and Excitation Properties of Sudan Red Ⅲ Molecule Based on the Density Functional Theory[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2426-2436. |
[6] |
CHEN Chao-yang1, 2, LIU Cui-hong1, 2, LI Zhi-bin3, Andy Hsitien Shen1, 2*. Alexandrite Effect Origin of Gem Grade Diaspore[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2557-2562. |
[7] |
LI Shu-fei1, LI Kai-yu1, QIAO Yan2, ZHANG Ling-xian1*. Cucumber Disease Detection Method Based on Visible Light Spectrum and Improved YOLOv5 in Natural Scenes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2596-2600. |
[8] |
ZHANG Jing, GUO Zhen, WANG Si-hua, YUE Ming-hui, ZHANG Shan-shan, PENG Hui-hui, YIN Xiang, DU Juan*, MA Cheng-ye*. Comparison of Methods for Water Content in Rice by Portable Near-Infrared and Visible Light Spectrometers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2059-2066. |
[9] |
LIU Mei-jun, TIAN Ning*, YU Ji*. Spectral Study on Mouse Oocyte Quality[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1376-1380. |
[10] |
CI Cheng-gang*, ZANG Jie-chao, LI Ming-fei*. DFT Study on Spectra of Mn-Carbonyl Molecular Complexes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1434-1441. |
[11] |
CAO Yue1, BAO Ni-sha1, 2*, ZHOU Bin3, GU Xiao-wei1, 2, LIU Shan-jun1, YU Mo-li1. Research on Remote Sensing Inversion Method of Surface Moisture Content of Iron Tailings Based on Measured Spectra and Domestic Gaofen-5 Hyperspectral High-Resolution Satellites[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1225-1233. |
[12] |
LI Kai-yu1, ZHANG Hui2, MA Jun-cheng3, ZHANG Ling-xian1*. Segmentation Method for Crop Leaf Spot Based on Semantic Segmentation and Visible Spectral Images[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1248-1253. |
[13] |
LAI Si-han1, LIU Yan-song1, 2, 3*, LI Cheng-lin1, WANG Di1, HE Xing-hui1, LIU Qi1, SHEN Qian4. Study on Hyperspectral Inversion of Rare-Dispersed Element Cadmium Content in Lead-Zinc Ores[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1275-1281. |
[14] |
CHEN Qing1, TANG Bin1, 2*, LONG Zou-rong1, 2, MIAO Jun-feng1, HUANG Zi-heng1, DAI Ruo-chen1, SHI Sheng-hui1, ZHAO Ming-fu1, ZHONG Nian-bing1. Water Quality Classification Using Convolution Neural Network Based on UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 731-736. |
[15] |
ZHANG Xiu-quan1, LI Zhi-wei1*, ZHENG De-cong1*, SONG Hai-yan1, WANG Guo-liang2. VIS-NIR Hyperspectral Prediction of Soil Organic Matter Based on
Stacking Generalization Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 903-910. |
|
|
|
|