| 光谱学与光谱分析 |
|
|
|
|
|
| Study on the Preparation of A New Composite Coagulant: Poly-Ferric-Titanium-Sulfate and Analysis of FTIR Spectrum and UV-Vis Spectrum |
| CHEN Wei, ZHENG Huai-li*, ZHAI Jun, ZHAO Chun, XUE Wen-wen, CAI Na, YANG Qing-qing, FENG Li |
| Key Laboratory of the Three Gorges Reservoir Region’s Eco-Environment, Ministry of Education, National Centre for International Research of Low-carbon and Green Buildings，Chongqing University, Chongqing 400045, China |
|
|
|
|
Abstract Composite coagulants have drawn a widespread attention recently for its superior coagulation-flocculation performance. Fe and Ti based coagulants, as a kind of inorganic metal water treatment agent, h have received huge attention, but there is little study about the preparation and characterization of composite coagulate composite with Ti4+. In this paper we prepared a composite coagulant, in which the Ti (SO4)2 was introduced as coordination complexes, PO3-4 as stabilizer and complexant. Then, the FT-Infra Red spectrum (FT-IR) and ultraviolet/visible absorption spectrum (UV-Vis) were adopted to characterizse the changes of chemical group, species distribution of coagulants in case of varies Ti/Fe, P/Fe and OH/Fe molar ratio. The results shows other than simple mixture of the raw materials, the introduction of Ti4+ and —PO4 group synthesized the chemical group bond as Ti—O, —Fe—P—Fe— and —Ti—P—Ti—, which were beneficial to the degree of polymerization and increased the stability of the product. Furthermore, when the Ti/Fe molar ratio of 1∶8, P/Fe was in the range of 0.2~0.3, the optimal material is suitable for the generation of Fe—P—Ti— chemistry bond and medium polymer as Fe6(OH)6+12，[Fex(OH)y]2H2PO(6x-2y-1)+4. Whereas, too much addition of Ti4+, PO3-4 and HCO-3 deteriorated the polymer structure, leading to the presentation of precipitate as TiO2, Ti3(PO4)4 and FePO4, which will decrease the coagulation performance.
|
|
Received: 2015-01-29
Accepted: 2015-05-04
|
|
|
|
Corresponding Authors:
ZHENG Huai-li
E-mail: zhl@cqu.edu.cn
|
|
[1] Zouboulis A I, Moussas PA. Polyferric Silicate Sulphate (PFSiS): Preparation, Characterisation and Coagulation Behaviour, Desalination, 2008, 224: 307.
[2] Duan J, Gregory J. Advances in Colloid and Interface Science，2003，100-102：475.
[3] Flaten T P. Brain Research Bulletin，2001，55：187.
[4] Wu Y F, Liu W, Gao N Y, et al. Water Res., 2011, 45: 3704.
[5] Zhu G, Zheng H, Zhang Z, et al. Chemical Engineering Journal，2011，178：50.
[6] Zeng Y, Park J. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2009, 334: 147.
[7] Lan W, Qiu H, Zhang J, et al. Journal of Hazardous Materials，2009，162：174.
[8] Zouboulis A I, Moussas P A, Vasilakou F. Journal of Hazardous Materials，2008，155：459.
[9] Moussas P A, Zouboulis A I. Water Res., 2009, 43: 3511.
[10] LU Nang-quan, DENG Zhen-hua. Applied Infrared Spectral Analysis(实用红外光谱分析). Beijing: Publishing House of Electronics Industry(北京：电子工业出版社), 1989.
[11] Xu H, Jiao R, Xiao F, et al. Colloids and Surfaces A: Physicochemical and Engineering Aspects，2014，446：139.
[12] Wang D, Tang H. Water Research，2001，35：3418.
[13] Liang Z, Wang Y, Zhou Y, et al. Journal of the International Association on Water Pollution Research，2009，59：1129.
[14] Okour Y, Shon H K, El Saliby I J, et al. Bioresource Technology，2010，101：1453.
[15] Lee K E, Morad N, Teng T T, et al. Chemical Engineering Journal，2012，203：370. |
| [1] |
XU Rong1, AO Dong-mei2*, LI Man-tian1, 2, LIU Sai1, GUO Kun1, HU Ying2, YANG Chun-mei2, XU Chang-qing1. Study on Traditional Chinese Medicine of Lonicera L. Based on Infrared Spectroscopy and Cluster Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3518-3523. |
| [2] |
LI Chen-xi1, SUN Ze-yu1, 2, ZHAO Yu2*, YIN Li-hui2, CHEN Wen-liang1, 3, LIU Rong1, 3, XU Ke-xin1, 3. The Research Progress of Two-Dimensional Correlation Spectroscopy and Its Application in Protein Substances Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 1993-2001. |
| [3] |
QI Wei, FENG Peng*, WEI Biao, ZHENG Dong, YU Ting-ting, LIU Peng-yong. Feature Wavelength Optimization Algorithm for Water Quality COD Detection Based on Embedded Particle Swarm Optimization-Genetic Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(01): 194-200. |
| [4] |
SUN Yan-hua1, 2, FAN Yong-tao1, 2*. Correction of Temperature Influence in Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(06): 1690-1695. |
| [5] |
WEI Gang1, GU Zheng-ye1, GONG Shui-shui1, GUANG Shan-yi2, KE Fu-you1, XU Hong-yao1*. Determination of the Oxidizability on the Surface of the Graphene Oxide Layer by Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(06): 1722-1727. |
| [6] |
CAO Hai-qing, HAN Tong-shuai, LIU Xue-yu, LIU Jin*. Extracting Linear Attenuance of Analyte in Turbid Scattering Media and Prediction Model Transfer Based Thereon[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(12): 3711-3717. |
| [7] |
FU Sai1, LIN Long-fei1, LIU Yu-ling1, SONG Ji-zheng1, SHAO Jin-xin2, ZHONG Ming3, XIE Tang-gui3, LI Hui1*. Rapid Determination of Water Content in Refined Honey Used as Key Excipient to Form Pills Based on Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(08): 2590-2594. |
| [8] |
HAN Guo-cheng, SU Xiao-rui, HOU Jia-ting, FENG Xiao-zhen, CHEN Zhen-cheng*. Interaction Study of Fc(COOH)2 and BSA by UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(12): 3958-3962. |
| [9] |
LIU Yan-de, YE Ling-yu, TANG Tian-yi, OUYANG Ai-guo, SUN Xu-dong, ZHANG Yu. Determination of Performance of Different Concentration Ethanol Diesel Oil Based on Mid Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(09): 2741-2748. |
| [10] |
ZHAO Ming-fu1, 2, TANG Ping1, 2, TANG Bin1, 2, 3*, HE Peng3, XU Yang-fei1, 2, DENG Si-xing1, 2, SHI Sheng-hui1, 2. Research on Denoising of UV-Vis Spectral Data for Water Quality Detection with Compressed Sensing Theory Based on Wavelet Transform[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 844-850. |
| [11] |
SUN Cui-ying, HAN Tong-shuai, GUO Chao, SHENG Wei-nan, LIU Jin*. The Correction Methods for Near Infrared Spectrum of Glucose Aqueous Solution to Reduce the Influence from Temperature[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(11): 3391-3398. |
| [12] |
ZHONG Yong-cui1, 3, 4, YANG Li-wei2, QIU Yun-qi2, WANG Shu-mei1,3,4, LIANG Sheng-wang1, 3, 4*. Rapid Determination of Geniposide in Gardenia Jasminoids Ellis in Different Preparations Methods with NIRS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(06): 1771-1777. |
| [13] |
HU Wen-yan1,3, WANG Yu-heng1,3, ZHANG Xiao-shuan2, LI Jun-hui1,3, WANG Zhong-yi1,3, ZHAO Long-lian1,3*. Determination and 3D Reconstruction of Optical Parameters of Biological Tissue Based on Frequency-Domain Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(05): 1374-1379. |
| [14] |
OUYANG Ai-guo, HUANG Zhi-hong, LIU Yan-de*. Determination of Methanol Content in Methanol Diesel Based on Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(04): 1118-1122. |
| [15] |
HU Wen-yan1,3, LIU Hui1,3, WANG Yu-heng1,3, LI Jun-hui1,3, ZHANG Xiao-shuan2, WANG Zhong-yi1,3, ZHAO Long-lian1，3*. Study for the Photon Propagation Properties in Biological Tissue Based on Frequency-Domain Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(04): 1074-1080. |
|
|
|
|
