| 光谱学与光谱分析 |
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| Study of Ferric Species Distribution in Polyferric Silicate Sulfate (PFSS) Prepared from Tetraethylorthosilicate (TEOS) |
| ZHENG Huai-li1,2,HUANG Xiao-hong3,HE Qiang2,LI Dan-dan3 |
1. Faculty of Urban Construction and Environmental Engineering,Chongqing University,Chongqing 400045,China
2. Key Laboratory of the Three Gorges Reservoir Region’s Econ-Environment,Ministry of Education,Chongqing University,Chongqing 400045,China
3. College of Chemistry and Chemical Engineering,Chongqing University,Chongqing 400044,China |
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Abstract In the present experiment,poly-ferric silicate sulfate flocculants were prepared by using tetraethylorthosilicate and poly-ferric sulfate as row materials. Because tetraethylorthosilicate has the characteristic of hydrolyzing very slowly，the hydrolyzing reaction was controlled easily. The products feature uniform distribution of ferric and silicate and good repeatability so that it is easy to study the ferric species. Ferric and silicon species distribution in PFSS was investigated by Fe-ferron complexation timed spectrophotometry method and infrared spectrum method. The experiment showed that the amount of Fe(a) in poly-ferric silicate sulfate flocculants was the most in the three species,while the amount of Fe(b) and Fe(c) was small. As the aging time increased,the amount of Fe(b) and Fe(a) would decrease while the amount of Fe(c) would increase for a certain time; But these three species in poly-ferric silicate sulfate flocculants would not change after 5 days of aging. The iron and silicon species in poly-ferric silicate sulfate flocculants were different between poly-ferric sulfate and poly-silicon. There was not simplicial compound but complex reaction between poly-ferric sulfate and poly-silicon. And a new type of inorganic polymer flocculants,i.e. poly-ferric silicate sulfate flocculants was prepared.
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Received: 2006-11-02
Accepted: 2007-02-26
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Corresponding Authors:
ZHENG Huai-li
E-mail: zhl6512@126.com
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[1] YUAN Zong-xuan,ZHENG Huai-li,SHU Xing-wu(袁宗宣，郑怀礼，舒型武). Journal of Chongqing University,Natural Science Edintion(重庆大学学报·自然科学版),2001,24(2): 141.
[2] ZHENG Huai-li,LIU Ke-wan(郑怀礼，刘克万). Technology of Water Treatment(水处理技术),2004,30(6): 316.
[3] ZHENG Huai-li,YUAN Zong-xuan,GONG Ying-kun(郑怀礼，袁宗宣，龚迎昆). Fine Chemicals(精细化工),2002,19(8): 450.
[4] ZHENG Huai-li,LI Fang,LIU Hong(郑怀礼,李 方,刘 宏). Chemical Research and Application(化学研究与应用),2006,18(5): 492.
[5] ZHENG Huai-li,GAO Jie,YU Zhen-lan(郑怀礼，高 杰，余桢澜). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2000,20(4): 581.
[6] ZHENG Huai-li,PENG De-jun,HUANG Xiao-hong,et al(郑怀礼，彭德军，黄小红，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2007，27(12)：2485.
[7] PAN Yun-xia,ZHENG Huai-li,LI Dan-dan,et al(潘云霞，郑怀礼，李丹丹，等). Journal of Environmental Engineering(环境工程学报)，2007，27(7)：97.
[8] Kiyoshi Okada,Takahiro Tomita,Yoshikazu Kameshima,et al. Microporous and Mesoporous Materials,2000,37: 355.
[9] WANG Chen-yi,ZHANG Cai-hua,BI Shu-ping,et al(王趁义,张彩华,毕树平，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(2): 252.
[10] DONG Qing-nian(董庆年). Infrared Spectroscopy Method(红外光谱法). Beijing: Petrochemical Industry Press(北京：石油化学工业出版社),1977. 188.
[11] ZHONG Ben Yi Xiong(中本一雄). Infrared and Raman Spectroscopy of Inorganicand Coordination Compound(无机和配位化合物的红外和拉曼光谱). Translated by HUANG De-ru,WANG Ren-qing(黄德如,汪仁庆,译). Beijing: Chemical Industry Press(北京：化学工业出版社),1986. 230.
[12] ZHANG Xing-hua,ZHOU Li-yun,TANG Min(章兴华,周丽芸,汤 敏). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2002,22(1): 39.
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