光谱学与光谱分析 |
|
|
|
|
|
FTIR Study of Nano-Iron Oxyhydroxides’ Decoloration on the Azo Dye |
SUN Zhen-ya1,2, DU Jian-hua1, CHEN He-sheng2, GONG Wen-qi1 |
1. School of Resource and Environment Engineering, Wuhan University of Technology, Wuhan 430070, China 2. Center for Materials Research and Analysis, Wuhan University of Technology, Wuhan 430070, China |
|
|
Abstract IR spectra were used to analyse the azo dye solution decoloration action by two kinds of iron oxyhydroxides. It was discovered that: (1)Acid Red G & methyl orange are apt to form complex on the surface of iron oxyhydroxides >FeOH, especially Acid Red G. which possesses two —SO3Na structures has a relatively high decoloration efficiency as a result of complexation reaction; (2) after 2 hours adsorption, the IR spectra of iron oxyhydroxides show characteristic wave numbers at 1 033 and 1 030 cm-1 which belong to —SO3Na,whereas the peaks at wave numbers between 1 450 and 1 400 cm-1, which belong to azo dye, disappear. These phenomena indicate that azo dye molecules are adsorbed on the surface of iron oxyhydroxides due to the negative —SO3Na structure, and at the moment azo dye molecules are adsorbed on the surface of iron oxyhydroxides, the electron transfer occurs between the azo dye molecules and the iron oxyhydroxides surface’s Fe3+ centre, which could lead to the rupture of azo bond. It can be infered that the decoloration of azo dye molecules is the co-effect of the selective chemical absorption and the oxidation-deoxidation effect on the surface of iron oxyhydroxides.
|
Received: 2005-02-18
Accepted: 2005-05-28
|
|
Corresponding Authors:
SUN Zhen-ya
|
|
Cite this article: |
SUN Zhen-ya,DU Jian-hua,CHEN He-sheng, et al. FTIR Study of Nano-Iron Oxyhydroxides’ Decoloration on the Azo Dye [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(07): 1226-1229.
|
|
|
|
URL: |
https://www.gpxygpfx.com/EN/Y2006/V26/I07/1226 |
[1] Ashokkumar M. J. Hydrogen Energy, 1998, 23(6): 427. [2] ZHU Chun-shui, SUN Zhen-ya, GONG Wen-qi, et al(祝春水, 孙振亚, 龚文琪, 等). Environ. Sci. Research(环境科学研究), 2003,16(6): 57. [3] Aürge I J, Hug S. Environ. Sci. Technol., 1998, 32: 2092. [4] Andreozzi R, Caprio V, Marotta R. Water Res., 2002, 36: 2761. [5] Andreozzi R, D’Apuzzo A. Marotta R. Water Res., 2002, 36: 469. [6] Andreozzi R, Caprio V. Water Res., 2003, 37: 3682. [7] Faust B C,Hoffmann M R. Environ. Sci. Technol.,1986,20: 943. [8] Cunningham K M, Goldberg M C, Weiner E R. Environ. Sci. Technol., 1988,22: 1090. [9] Goldberg M C, Cunninghem K M, Weiner E R. J. Photochem. Photobicl., A: Chem., 1993, 7:105. [10] OUYANG Tian-zhi,ZHAO Zhen-hua, GU Xiao-man, et al(欧阳天贽, 赵振华, 顾小曼, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2003, 23(6): 1097. [11] SUN Zhen-ya, ZHU Chun-shui, et al(孙振亚, 祝春水, 等). Acta Mineralogica Sinica(矿物学报), 2003, 23: 341. [12] FAN Shan-hu, SUN Zhen-fan, et al(范山湖, 孙振范, 等). Acta Phys.-Chim.(物理化学学报), 2003, 19(1): 25. [13] CHEN Jie, SONG Qi-ze(陈 洁, 宋启泽). Organism Spectroscopy Analysis(有机波谱分析). Beijing: Beijing University of Technology Press(北京: 北京理工大学出版社), 1996. 73. [14] TANG Hui-tong(唐恢同). Spectrometric Identification of Organic Compoud(有机化合物的光谱鉴定). Beijing: Peking University Press(北京: 北京大学出版社), 1992. 87. [15] JIANG Ting-da(蒋挺大). Chitosan(壳聚糖). Beijing: Chemical Industry Press(北京: 化学工业出版社), 2001. 127.
|
[1] |
CHENG Jia-wei1, 2,LIU Xin-xing1, 2*,ZHANG Juan1, 2. Application of Infrared Spectroscopy in Exploration of Mineral Deposits: A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 15-21. |
[2] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
[3] |
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. |
[4] |
LIU Jia, ZHENG Ya-long, WANG Cheng-bo, YIN Zuo-wei*, PAN Shao-kui. Spectra Characterization of Diaspore-Sapphire From Hotan, Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 176-180. |
[5] |
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. |
[6] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
[7] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
[8] |
SUN Wei-ji1, LIU Lang1, 2*, HOU Dong-zhuang3, QIU Hua-fu1, 2, TU Bing-bing4, XIN Jie1. Experimental Study on Physicochemical Properties and Hydration Activity of Modified Magnesium Slag[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3877-3884. |
[9] |
LI Xiao-dian1, TANG Nian1, ZHANG Man-jun1, SUN Dong-wei1, HE Shu-kai2, WANG Xian-zhong2, 3, ZENG Xiao-zhe2*, WANG Xing-hui2, LIU Xi-ya2. Infrared Spectral Characteristics and Mixing Ratio Detection Method of a New Environmentally Friendly Insulating Gas C5-PFK[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3794-3801. |
[10] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
[11] |
LIU Xin-peng1, SUN Xiang-hong2, QIN Yu-hua1*, ZHANG Min1, GONG Hui-li3. Research on t-SNE Similarity Measurement Method Based on Wasserstein Divergence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3806-3812. |
[12] |
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. |
[13] |
WANG Qi-biao1, HE Yu-kai1, LUO Yu-shi1, WANG Shu-jun1, XIE Bo2, DENG Chao2*, LIU Yong3, TUO Xian-guo3. Study on Analysis Method of Distiller's Grains Acidity Based on
Convolutional Neural Network and Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3726-3731. |
[14] |
DANG Rui, GAO Zi-ang, ZHANG Tong, WANG Jia-xing. Lighting Damage Model of Silk Cultural Relics in Museum Collections Based on Infrared Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3930-3936. |
[15] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
|
|
|
|