| 光谱学与光谱分析 |
|
|
|
|
|
| Spectral Properties and Thermal Stability of Zinc Phosphate Hydrate |
| YUAN Ai-qun1，2, HUANG Zeng-wei1, DENG Guang-hui1, SONG Bao-ling2,TONG Zhang-fa1 |
1. School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China
2. Department of Chemistry and Ecology Engineering, Guangxi University for Nationalities, Nanning 530006, China |
|
|
|
|
Abstract X-ray, FTIR, and Raman spectra were used to measure the spectral properties of three kinds of zinc phosphate hydrate. Spectral changes with crystalline water were analyzed. The thermal stability of zinc phosphate tetrahydrate was studied by TG-DTA to identify the existent temperature of zinc phosphate hydrate. The results show that the differences in crystalline water among these hydrates results in the variation in both 2θ characteristic values and peaks. The FTIR spectra reflect H—O—H strength information (1 600 cm-1) and O—H bond stretching vibrations (3 400-3 500 cm-1). Raman spectra show the difference in P—O bond stretching mode at 400-700 cm-1 and the shape of O—H stretching peak. According to the mass-loss curves, the onset temperature of zinc phosphate tetrahydrate was 95 ℃. Heating to 145 ℃ was accompanied by the removal of 2H2O and transform into Zn3(PO4)2·2H2O, indicating that Zn3(PO4)2·2H2O was established at this temperature. Zn3(PO4)2·H2O can be obtained by heating to 195 ℃. The third stage of dehydration gave an anhydrous Zn3(PO4)2 phase.
|
|
Received: 2005-08-26
Accepted: 2005-12-18
|
|
|
|
Corresponding Authors:
YUAN Ai-qun
|
|
| Cite this article: |
|
YUAN Ai-qun,HUANG Zeng-wei,DENG Guang-hui, et al. Spectral Properties and Thermal Stability of Zinc Phosphate Hydrate[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(08): 1564-1567.
|
|
|
|
| URL: |
|
https://www.gpxygpfx.com/EN/Y2006/V26/I08/1564 |
[1] Burkill J A, Mayne J E D. Surf. Coat. Int., 1988，71(9): 273.
[2] Herschke Laurent, Enkelmann Volker, Lieberwirth Ingo, et al. Chem. Eur. J., 2004，10(2)：2795.
[3] Stoch A, Paluszkiewicz Cz, Dlugon E. Journal of Molecular Structure, 1999, 511(4): 295.
[4] Frost Ray I. Spectrochimica Acta Part A, 2004, 60(7): 1439.
[5] YUAN Ai-qun(袁爱群). Coating and Painting Industry(涂料工业)，2000，30(6)：29.
[6] Pawlig O, Schellenschlager V, Lutz H D, et al. Spectrochimica Acta Part A, 2001, 57(3): 581.
[7] GUO Ying-feng, YOU Jing-lin, JIANG Guo-chang, et al(郭迎峰, 尤静林, 蒋国昌, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2003, 23(5): 855.
|
| [1] |
FAN Ping-ping，LI Xue-ying，QIU Hui-min，HOU Guang-li，LIU Yan*. Spectral Analysis of Organic Carbon in Sediments of the Yellow Sea and Bohai Sea by Different Spectrometers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 52-55. |
| [2] |
YANG Chao-pu1, 2, FANG Wen-qing3*, WU Qing-feng3, LI Chun1, LI Xiao-long1. Study on Changes of Blue Light Hazard and Circadian Effect of AMOLED With Age Based on Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 36-43. |
| [3] |
BAO Hao1, 2，ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
| [4] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
| [5] |
LIANG Jin-xing1, 2, 3, XIN Lei1, CHENG Jing-yao1, ZHOU Jing1, LUO Hang1, 3*. Adaptive Weighted Spectral Reconstruction Method Against
Exposure Variation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3330-3338. |
| [6] |
MA Qian1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, CHENG Hui-zhu1, 2, ZHAO Yan-chun1, 2. Research on Classification of Heavy Metal Pb in Honeysuckle Based on XRF and Transfer Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2729-2733. |
| [7] |
HUANG Chao1, 2, ZHAO Yu-hong1, ZHANG Hong-ming2*, LÜ Bo2, 3, YIN Xiang-hui1, SHEN Yong-cai4, 5, FU Jia2, LI Jian-kang2, 6. Development and Test of On-Line Spectroscopic System Based on Thermostatic Control Using STM32 Single-Chip Microcomputer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2734-2739. |
| [8] |
ZHENG Yi-xuan1, PAN Xiao-xuan2, GUO Hong1*, CHEN Kun-long1, LUO Ao-te-gen3. Application of Spectroscopic Techniques in Investigation of the Mural in Lam Rim Hall of Wudang Lamasery, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2849-2854. |
| [9] |
WANG Jun-jie1, YUAN Xi-ping2, 3, GAN Shu1, 2*, HU Lin1, ZHAO Hai-long1. Hyperspectral Identification Method of Typical Sedimentary Rocks in Lufeng Dinosaur Valley[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2855-2861. |
| [10] |
WANG Jing-yong1, XIE Sa-sa2, 3, GAI Jing-yao1*, WANG Zi-ting2, 3*. Hyperspectral Prediction Model of Chlorophyll Content in Sugarcane Leaves Under Stress of Mosaic[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2885-2893. |
| [11] |
WANG Yu-qi, LI Bin, ZHU Ming-wang, LIU Yan-de*. Optimizations of Sample and Wavelength for Apple Brix Prediction Model Based on LASSOLars Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1419-1425. |
| [12] |
LI Shuai-wei1, WEI Qi1, QIU Xuan-bing1*, LI Chuan-liang1, LI Jie2, CHEN Ting-ting2. Research on Low-Cost Multi-Spectral Quantum Dots SARS-Cov-2 IgM and IgG Antibody Quantitative Device[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1012-1016. |
| [13] |
JIN Cui1, 4, GUO Hong1*, YU Hai-kuan2, LI Bo3, YANG Jian-du3, ZHANG Yao1. Spectral Analysis of the Techniques and Materials Used to Make Murals
——a Case Study of the Murals in Huapen Guandi Temple in Yanqing District, Beijing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1147-1154. |
| [14] |
DING Kun-yan1, HE Chang-tao2, LIU Zhi-gang2*, XIAO Jing1, FENG Guo-ying1, ZHOU Kai-nan3, XIE Na3, HAN Jing-hua1. Research on Particulate Contamination Induced Laser Damage of Optical Material Based on Integrated Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1234-1241. |
| [15] |
ZHANG Bao-ping1, NING Tian1, ZHANG Fu-rong1, CHEN Yi-shen1, ZHANG Zhan-qin2, WANG Shuang1*. Study on Raman Spectral Characteristics of Breast Cancer Based on
Multivariable Spectral Data Analysis Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 426-434. |
|
|
|
|
