| 光谱学与光谱分析 |
|
|
|
|
|
| Study on the Spectrum of the Flocculent Conformation of Polymer Ferric Sulfate Flocculants |
| ZHENG Huai-li1, 2,PENG De-jun1,HUANG Xiao-hong1,LIU Hong1 |
1. College of Chemical and Chemistry Engineering, Chongqing University, Chongqing 400044, China
2. Key Laboratory of the Three Gorges Reservoir Region’s Eco-Environment, Ministry of Education, Chongqing University,Chongqing 400045, China |
|
|
|
|
Abstract In the present paper，the flocculent conformation and qualities of polymer ferric sulfate flocculants were studied by the ultraviolet-visible spectrum. The spectra of polymer ferric sulfate flocculants at different pH values, the microcosmic flocculent conformation of polymer ferric sulfate flocculants corresponding to some peaks in the spectrum, the reaction mechanism and the effects of different pH value on turbidity and colour removal and described. The absorbance of peaks in the wavelength range of 200-1 100 nm all increased with pH value rising from 1.0 to 2.5. The absorbance of peaks in the wavelength range mentioned above did not continuously increased with pH value rising above 2.5, and some of them are even decreased apparently. The flocculent effects of turbidity and colour removal on stimulant waste water is optimum at pH 2.0. When pH value is in the range of 1.5 to 2.0 and 2.0 to 2.3, the flocculent effects are also better. However, the flocculent effect is decreased apparently when pH value is over 2.5. The change in the spectral curve of the different pH polymer ferric sulfate flocculants is corresponding to the flocculent effects of turbidity and colour removal on stimulant waste water to some extent. The research method has potential application prospect for the better flocculation conformation analysis and identification of the polymer ferric flocculants. And it can provide some easy and actable methods for the flocculation conformation analysis and identification of high polymer ferric flocculants.
|
|
Received: 2006-08-02
Accepted: 2006-10-28
|
|
|
|
Corresponding Authors:
ZHENG Huai-li
E-mail: zhenghl@cta.cq.cn
|
|
| Cite this article: |
|
ZHENG Huai-li,PENG De-jun,HUANG Xiao-hong, et al. Study on the Spectrum of the Flocculent Conformation of Polymer Ferric Sulfate Flocculants[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(12): 2480-2484.
|
|
|
|
| URL: |
|
https://www.gpxygpfx.com/EN/Y2007/V27/I12/2480 |
[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 Edition)(重庆大学学报·自然科学版), 2001, 24(2): 143.
[2] ZHENG Huai-li(郑怀礼). Biological Flocculants and Flocculent Technologies(生物絮凝剂与絮凝技术). Beijing: Chemical Industry Press(北京: 化学工业出版社), 2004.
[3] ZHENG Huai-li, LIU Ke-wan(郑怀礼, 刘克万). Technology of Water Treatment(水处理技术), 2004, 30(6): 315.
[4] ZHENG Huai-li, LONG Teng-rui, YUAN Zong-xuan(郑怀礼, 龙腾锐, 袁宗宣). Techniques and Equipment for Environmental Pollution Control(环境污染治理技术与设备), 2000, 1(5): 21.
[5] 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.
[6] 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.
[7] ZHANG Xing-hua, ZHAO Ya-ming, FAN Hong, et al(章兴华，赵亚明, 范 红, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2000, 20(4): 577.
[8] Tang X H, et al. The Differences of Behaviour and Coagulating Mechanism between Inorganic Polymer Flocculants and Traditional Coagulants. Chemical Water and Wastewater Treatment Ⅵ. Springer-Verlag, 1996. 83.
[9] SUN Deng-ming, JI Fang(孙登明, 计 芳). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2003, 23(2)：351.
[10] Ali A. Ensafi, Keyvanfard M. Spectrochimica Acta Part A, 2002, 58: 1567.
[11] Chinese Environmental Protection Agency(国家环保局编). Analysis Method for Monitoring Water and Waste(Fourth Edition) (水和废水监测分析方法, 第4版). Beijing: Environmental Science Press in China(北京: 中国环境科学出版社), 2002. 346.
|
| [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. |
|
|
|
|
