Spectroscopy and Spectral Analysis, Volume. 38, Issue 10, 3144(2018)

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, and WU Jing2
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  • 1[in Chinese]
  • 2[in Chinese]
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    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.

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    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

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    Paper Information

    Received: Oct. 1, 2017

    Accepted: --

    Published Online: Nov. 25, 2018

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2018)10-3144-04

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