Fluorescence excitation-emission matrix as a novel indicator of assimilable organic carbon in wastewater: Implication from a coal chemical wastewater study

被引:9
|
作者
Wang, Shu [1 ,2 ]
Li, Yufang [1 ]
Xiao, Kang [3 ]
Huang, Xia [1 ,4 ]
机构
[1] Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China
[2] CAUPD Beijing Planning & Design Consultants Ltd, Beijing 100044, Peoples R China
[3] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[4] Tsinghua Univ, Sch Environm, Res & Applicat Ctr Membrane Technol, Beijing 100084, Peoples R China
基金
北京市自然科学基金;
关键词
Coal chemical industrial wastewater; Assimilable organic carbon; EEM; Fluorescence regional integration; Correlation; DRINKING-WATER; MATTER; AOC; DOM; SPECTROSCOPY; SYSTEMS; GROWTH; SIZE;
D O I
10.1016/j.scitotenv.2021.150144
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Assimilable organic carbon (AOC) is recognized as an important parameter to evaluate the biostability of water. Studies have been carried out to investigate the easier and faster AOC detection methods in recent years. In our study, the relationship between AOC and excitation-emission matrix (EEM) was investigated through analysis of wastewater from a coal chemical industrial corporation, including biochemical effluent, ultrafiltration effluent, and reverse osmosis concentrate. Considering the influence of water sample properties on AOC distribution, these water samples were fractionated according to their hydrophilicity and acid/base properties. Neutrals and hydrophobic acids were major components of total organic carbon and AOC concentration of these fractions was measured. EEM spectra of water samples were divided into five regions according to fluorescence peaks. Distribution of fluorescence region integration (FRI) of water samples was also calculated, as well as other fluorescence parameters. Statistical analysis showed that the concentration of AOC presented high positive correlation with the FRI in region H2, with R2 = 0.696. Monte Carlo simulation also proved that the proportion of significant R2 (p < 0.05) was high at 89.1%, suggesting that the model was reliable at least at the qualitative level. In that case, FRI in Region H2 could be an indication for AOC concentration inwater samples. Our findings focus on fundamental insights into establishing relationship between spectroscopy method and AOC in wastewater and provide an easier way of accessing AOC in coal chemical industrial wastewater. Further investigation could be oriented to the dynamic analysis of AOC transformation and tracing. (c) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Fluorescence Excitation Emission Matrix Properties of the Effluents From the Wastewater Treatment Plants in Jiangyin City, Jiangsu Province
    Cheng, Cheng
    Qian, Yu-Ting
    Huang, Zhen-Rong
    Jiang, Jing
    Shao, Li
    Wang, Zhong-Xi
    Lü, Wei-Ming
    Wu, Jing
    Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis, 2021, 41 (12): : 3791 - 3796
  • [42] Monitoring organic loading to swimming pools by fluorescence excitation-emission matrix with parallel factor analysis (PARAFAC)
    Seredynska-Sobecka, Bozena
    Stedmon, Colin A.
    Boe-Hansen, Rasmus
    Waul, Christopher K.
    Arvin, Erik
    WATER RESEARCH, 2011, 45 (06) : 2306 - 2314
  • [43] Application of Excitation-Emission Matrix (EEM) Fluorescence Combined With Linear SVM in Organic Pollution Monitoring of Water
    Dai Yuan
    Xie Ji-zheng
    Yuan Jing
    Shen Wei
    Guo Hong-da
    Sun Xiao-ping
    Wang Zhi-gang
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41 (09) : 2839 - 2845
  • [44] A new view into three-dimensional excitation-emission matrix fluorescence spectroscopy for dissolved organic matter
    Li, Wen
    Li, Xuan
    Han, Chunxiao
    Gao, Li
    Wu, Haiming
    Li, Ming
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 855
  • [45] Dynamics of water extractable organic carbon at a subtropical catchment using fluorescence excitation-emission matrix spectroscopy coupled with parallel factor analysis
    Ma, Wenming
    Li, Zhongwu
    Ding, Keyi
    Zhou, Qingping
    EUROPEAN JOURNAL OF SOIL SCIENCE, 2021, 72 (02) : 871 - 885
  • [46] Variability in excitation-emission spectra among wastewater treatment units and applications of fluorescence-based water quality monitoring
    Faizel, Haya
    Syed, Arwa A. Balkhi
    Vijayanandan, Arya
    WATER QUALITY RESEARCH JOURNAL, 2024, 59 (03) : 159 - 169
  • [47] A Novel Strategy for Identifying Oil Pollutants Based on Excitation-Emission Matrix Fluorescence Spectroscopy and Zernike Moments
    Cui, Yaoyao
    Kong, Deming
    Kong, Lingfu
    Wang, Shutao
    Shi, Huichao
    IEEE ACCESS, 2020, 8 : 17999 - 18006
  • [48] Excitation-emission matrix fluorescence spectra of chromophoric dissolved organic matter reflected the composition and origination of dissolved organic carbon in Lijiang River, Southwest China
    He, Qiufang
    Xiao, Qiong
    Fan, Jiaxing
    Zhao, Haijuan
    Cao, Min
    Zhang, Cheng
    Jiang, Yongjun
    JOURNAL OF HYDROLOGY, 2021, 598
  • [49] Study of the pH influence on the optical properties of dissolved organic matter using fluorescence excitation-emission matrix and parallel factor analysis
    Yan, Mingquan
    Fu, Qiangwei
    Li, Dechao
    Gao, Gunfa
    Wang, Dongsheng
    JOURNAL OF LUMINESCENCE, 2013, 142 : 103 - 109
  • [50] A novel bound constrained optimization method for three-way chemical data analysis with application to fluorescence excitation-emission matrix spectroscopy
    Wang, Ke
    Yu, Jie
    Bi, Yiming
    Li, Yuhan
    Huang, Pingjie
    Hou, Dibo
    Zhang, Guangxin
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2020, 203