| 光谱学与光谱分析 |
|
|
|
|
|
| Spectra Analysis of Dissolved Organic Matter in Pretreatment Process of Leachate Treated by Reverse Osmosis |
| ZENG Xiao-lan, HAN Le, LIU Jian-dong, DING Wen-chuan, ZHANG Qin, JIANG An |
| Key Laboratory of the Three Gorges Reservoir Region’s Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400045, China |
|
|
|
|
Abstract In order to examine the removal of organic matter in the leachate which results in reverse osmosis (RO) membrane fouling, and to provides a reference to select appropriate pretreatment processes of RO, synchronous-scan fluorescence，three-dimensional excitation emission matrix fluorescence spectroscopic and UV-Vis spectrum of the dissolved organic matter (DOM) in different molecular weight range in effluent from each leachate process of “biochemical (UASB+A/O)and UF” pretreatment in some incineration plant were examined. The results of synchronous fluorescence spectra analysis showed that DOM in the wavelength range of 250～320 nm with all the molecular weight and in the wavelength>320 nm with molecular weight>1 KDa was removed obviously by the pretreatment processes. The results of three-dimensional excitation-emission matrix (3D-EEM) fluorescence spectra showed that the pretreatment processes removed low-excitation wavelength tyrosine-like，low-excitation wavelength tryptophan-like and high-excitation wavelength tryptophan-like with all the molecular weight off，and fulvic-like matter and high-excitation wave length tyrosine-like with molecular weight>1 KDa effectively. The results of UV-Vis spectra analysis showed that the pretreatment processes removed DOM of molecular weight>1 KDa with π—π* transition and DOM of all molecular weight with conjugated system of the benzene ring structure. It was concluded that the removal of both fulvic-like matter and high-excitation wave length tyrosine-like with the wavelength>320 nm，molecular weight<1 KDa and with π—π* transition should be strengthened for controlling (RO) membrane fouling, when leachate was treated by RO with the pretreatment processes of “biochemical(UASB+A/O)and UF”.
|
|
Received: 2012-12-19
Accepted: 2013-04-22
|
|
|
|
Corresponding Authors:
ZENG Xiao-lan
E-mail: wendyzeng@cqu.edu.cn
|
|
[1] GUO Jian, DENG Chao-bing, XIAN Ping, et al(郭 健，邓超冰，冼 萍，等). Environmental Science & Technology(环境科学与技术)，2011，34(5): 171.
[2] Renou S，Givaudan J G，Poulain S，et al. Journal of Hazardous Matreials, 2008, 150: 468.
[3] CHU Yan-jie, YU Hai-qin, CUI Can(楮彦杰, 于海琴, 崔 璨). Technology of Water Treatment(水处理技术), 2012, 38(1): 72.
[4] DONG Bing-zhi, CHEN Yan, GAO Nai-yun, et al(董秉直，陈 艳，高乃云). Journal of Tongji University (Natural Science)(同济大学学报·自然科学版), 2006, 34(12): 1643.
[5] FANG Fang, LIU Guo-qiang, GUO Jin-song, et al(方 芳，刘国强，郭劲松，等). Journal of Chongqing University(重庆大学学报)，2008，31(1): 77.
[6] XUE Jun-feng, HE Pin-jing, SHAO Li-ming, et al(薛俊峰, 何品晶, 邵立明, 等). Technology of Water Treatment(水处理技术), 2005, 31(6): 24.
[7] ZHANG Bin，LI Yan(张 彬，李 燕). Water Purification Technology (水处理技术)，2011, 30(5): 80.
[8] TONG Xiao-lan, WANG Jin, YANG Guang-xing, et al(童晓岚，王 瑾，杨光兴，等). China Water and Wastewater(中国给水排水)，2007，23(22): 78.
[9] Huo Shouliang, Xi Beidou, YU Haichan, et al. Journal of Environmental Science, 2008, (20): 492.
[10] FANG Fang, LIU Guo-qiang，GUO Jin-song, et al(方 芳, 刘国强，郭劲松，等). Technology of Water Treatment(水处理技术), 2009, 35(4): 4.
[11] Zhang Tao, Lu Jinfeng, Ma Jun, et al. Chemosphere, 2008, 71: 911.
[12] Jerry A,. Leenheer, Jean-Philippe Croue. Environment Science & Technology, 2003, 37(1): 19A.
[13] FANG Fang, LIU Guo-qiang, GUO Jin-song, et al(方 芳，刘国强，郭劲松，等). Environmental Science(环境科学)，2009, 30(3): 834.
[14] Mobed J J, Hemmingsen S L, Autry J L, et al. Environ. Sci. Technology, 1996, 30: 3061.
[15] Tlombardi A, Fjardim W. Water Res., 1999, 33(2): 512.
[16] HAO Rui-xia，CAO Ke-xin，ZHAO Gang，et al(郝瑞霞，曹可心，赵 钢，等). Journal of Beijing University Technology(北京工业大学学报)，2006, 32(12): 1062. |
| [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] |
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] |
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. |
| [4] |
LI Xin-ting, ZHANG Feng, FENG Jie*. Convolutional Neural Network Combined With Improved Spectral
Processing Method for Potato Disease Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 215-224. |
| [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] |
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. |
| [7] |
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. |
| [8] |
CHEN Jia-wei1, 2, ZHOU De-qiang1, 2*, CUI Chen-hao3, REN Zhi-jun1, ZUO Wen-juan1. Prediction Model of Farinograph Characteristics of Wheat Flour Based on Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3089-3097. |
| [9] |
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. |
| [10] |
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. |
| [11] |
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. |
| [12] |
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. |
| [13] |
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. |
| [14] |
PU Shan-shan, ZHENG En-rang*, CHEN Bei. Research on A Classification Algorithm of Near-Infrared Spectroscopy Based on 1D-CNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2446-2451. |
| [15] |
JIN Cheng-liang1, WANG Yong-jun2*, HUANG He2, LIU Jun-min3. Application of High-Dimensional Infrared Spectral Data Preprocessing in the Origin Identification of Traditional Chinese Medicinal Materials[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2238-2245. |
|
|
|
|
