Properties of Fluorescence Aqueous Fingerprint of Veterinary Antibiotic Wastewater
HU Yuan1，2, CHAI Yi-di2, LIU Bo2, WANG Wen-xia2, TANG Jiu-kai2, FU Xin-mei1, WU Jing2*
1. School of Environment & Resource, Southwest University of Science & Technology, Mianyang 621010, China
2. State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
Abstract：In this paper, the feasibility of using aqueous fingerprint based on fluorescence excitation-emission matrix to reveal organic components of veterinary antibiotic wastewater was studied. There were 4 peaks in the aqueous fingerprint of the wastewater with excitation and emission wavelengths (ex/em) of 225/345, 275/345, 325/405 and 405/470 nm and marked as A, B, C and D, respectively. The intensity ordering of these 4 peaks is B>A>C>D. The intensities of peak B and A were relatively high, which were (0.64±0.21), (0.99±0.30) R. U, respectively, and had linear relationship with correlation coefficient of 0.95. Besides, same emission wavelength of these two peaks indicated they were likely to be produced by the same substance. The intensity of each peak demonstrated significantly positive correlation with COD (R2=0.66～0.70). The substances related to peak C were partially degraded or possessed low degradation rate, while the substances related to other three peaks could be degraded well. The new peak (ex/em 260/425) appeared in effluent water might relate to humic substance generated in microbial metabolism of the wastewater treatment. Above all, the properties of aqueous fingerprint of veterinary antibiotic wastewater were distinct and distinguishable. Aqueous fingerprint identifying technology could be a novel tool to identify such wastewater from water body. The information about total organic matters and organic compounds composition provided by aqueous fingerprint is of great value to refractory wastewater treatment designing and operating.
[1] National Bureau of Statistics and Ministry of Environmental Protection(国家统计局，环境保护部). China Statistical Yearbook on Environment(中国环境统计年鉴)，2016.
[2] Ahmad S R, Reynolds D M. Water Research，1995，29(6)：1599.
[3] XU Jin-gou, WANG Zun-ben(许金钩, 王尊本). Fluorescence Analysis Method(荧光分析法). Beijing: Science Press(北京: 科学出版社), 2006.
[4] Reynolds D，Coble P G, Lead J, et al. Aquatic Organic Matter Fluorescence: Plate Section. Cambridge University Press, NY, USA, 3.
[5] Murphy K R, Hambly A, Singh, S, et al. Environ. Sci. Technol.，2011, 45(7)：2909.
[6] Chong S, Aziz A, Harun S. Sensors (Basel)，2013, 13(7)：8640.
[7] Yang L, Han D H, Lee B M, et al. Chemosphere，2015, 127：222.
[8] TANG Jiu-kai, WU Jing, CHENG Cheng, et al(汤久凯, 吴 静, 程 澄, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2016, 36(11): 3602.
[9] Elfrida M Carstea, John Bridgeman, Andy Baker, et al. Water Research, 2016, 95：205.
[10] Henderson R K，Baker A，Murphy K R, et al. Water Research, 2008, 11(27): 865.
[11] Lawaetz A J，Stedmon C A. Applied Spectroscopy, 2009, 63(8): 936.
[12] Hudson N，Baker A，Reynolds D. River Research and Applications，2007, 23(6): 631.
[13] Wu J, Pons M N, Potier O. Water Science and Technology, 2006, 53(4-5): 449.
[14] Lee S，Ahn K H. Water Science and Technology, 2004, 50(8)：57.
