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某兽药抗生素废水的荧光水质指纹特征
引用本文:胡远,柴一荻,刘博,王文霞,汤久凯,付新梅,吴静.某兽药抗生素废水的荧光水质指纹特征[J].光谱学与光谱分析,2018,38(10):3144-3147.
作者姓名:胡远  柴一荻  刘博  王文霞  汤久凯  付新梅  吴静
作者单位:1. 西南科技大学环境与资源学院,四川 绵阳 621010
2. 清华大学环境学院环境模拟与污染控制国家重点联合实验室,北京 100084
基金项目:国家水体污染控制与治理科技重大专项项目(2014ZX07305001),国家重大科学仪器设备开发重点专项(2017YFF0108500)和环境模拟与污染控制国家重点联合实验室专项经费(17Y01ESPCT)资助
摘    要:以某兽药抗生素废水为例,研究了基于三维荧光光谱的水质指纹(简称水纹)技术用于揭示废水有机成分性质的可行性。该废水具有4个典型水纹峰,峰的激发波长/发射波长分别为225/345,275/345,325/405和405/470 nm,编号A,B,C和D,各峰强度关系B>A>C>D。其中A峰和B峰的荧光强度较高,分别为(0.64±0.21)和(0.99±0.30) R.U,线性相关系数为0.95,且发射波长相同,很可能是同一种物质产生的。各水纹峰强度与COD都有明显的正相关性,线性相关系数R2达到0.66~0.70。C峰对应的有机物部分降解或降解速率较低,而其余3个水纹峰对应的有机物可以被较好降解。出水中新出现的荧光峰260/425 nm可能是废水微生物处理过程中新生成的腐殖质。上述研究表明,该兽药抗生素制药废水具有独特的水纹特征,水质指纹鉴别技术可以作为水体中识别该废水存在的新方法,水纹信息还可以反映废水有机物总量和有机成分的性质,对难降解废水的处理设计和运行均有一定价值。

关 键 词:抗生素废水  三维荧光光谱  水质指纹  有机物  难降解废水  
收稿时间:2017-10-01

Properties of Fluorescence Aqueous Fingerprint of Veterinary Antibiotic Wastewater
HU Yuan,CHAI Yi-di,LIU Bo,WANG Wen-xia,TANG Jiu-kai,FU Xin-mei,WU Jing.Properties of Fluorescence Aqueous Fingerprint of Veterinary Antibiotic Wastewater[J].Spectroscopy and Spectral Analysis,2018,38(10):3144-3147.
Authors:HU Yuan  CHAI Yi-di  LIU Bo  WANG Wen-xia  TANG Jiu-kai  FU Xin-mei  WU Jing
Affiliation: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.
Keywords:Antibiotic wastewater  Excitation-emission matrix  Aqueous fingerprint  Organic matter  Refractory wastewater  
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