Excitation-emission matrix (EEM) fluorescence spectroscopy for characterization of organic matter in membrane bioreactors: Principles, methods and applications
Excitation-emission matrix (EEM) fluorescence spectroscopy for characterization of organic matter in membrane bioreactors: Principles, methods and applications
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用于表征膜生物反应器中有机物的激发-发射矩阵 (EEM) 荧光光谱:原理、方法和应用
DOI:
10.1007/s11783-019-1210-8
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发表时间:
2020-01
影响因子:
6.4
通讯作者:
Xia Huang
中科院分区:
文献类型:
--
作者:
Jinlan Yu;Kang Xiao;Wenchao Xue;Yue-xiao Shen;Jihua Tan;Shuai Liang;Yanfen Wang;Xia Huang
The membrane bioreactor (MBR) technology is a rising star for wastewater treatment. The pollutant elimination and membrane fouling performances of MBRs are essentially related to the dissolved organic matter (DOM) in the system. Three-dimensional excitation-emission matrix (3D-EEM) fluorescence spectroscopy, a powerful tool for the rapid and sensitive characterization of DOM, has been extensively applied in MBR studies; however, only a limited portion of the EEM fingerprinting information was utilized. This paper revisits the principles and methods of fluorescence EEM, and reviews the recent progress in applying EEM to characterize DOM in MBR studies. We systematically introduced the information extracted from EEM by considering the fluorescence peak location/ intensity, wavelength regional distribution, and spectral deconvolution (giving fluorescent component loadings/scores), and discussed how to use the information to interpret the chemical compositions, physiochemical properties, biological activities, membrane retention/fouling behaviors, and migration/ transformation fates of DOM in MBR systems. In addition to conventional EEM indicators, novel fluorescent parameters are summarized for potential use, including quantum yield, Stokes shift, excited energy state, and fluorescence lifetime. The current limitations of EEM-based DOM characterization are also discussed, with possible measures proposed to improve applications in MBR monitoring.
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影响因子:
2.7
作者:
Kothawala, Dolly N.;Murphy, Kathleen R.;Tranvik, Lars J.
通讯作者:
Tranvik, Lars J.
影响因子:
12.8
作者:
L. Deng;H. Ngo;Wenshan Guo;Hongwei Zhang
通讯作者:
L. Deng;H. Ngo;Wenshan Guo;Hongwei Zhang
影响因子:
3.7
作者:
M. Timmerman
通讯作者:
M. Timmerman
影响因子:
12.8
作者:
Yu Huarong;Wu Zijian;Zhang Xiaolei;Qu Fangshu;Wang Peng;Liang Heng
通讯作者:
Liang Heng
DOI:
10.3390/s120100972
发表时间:
2012
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
作者:
Hur J;Cho J
通讯作者:
Cho J