Fluorescence excitation-emission matrix spectra coupled with parallel factor and regional integration analysis to characterize organic matter humification

被引:181
作者
He, Xiao-Song [1 ,2 ]
Xi, Bei-Dou [1 ,2 ]
Li, Xiang [1 ,2 ]
Pan, Hong-Wei [1 ,2 ]
An, Da [1 ,2 ]
Bai, Shuo-Guo [1 ,2 ]
Li, Dan [1 ,2 ]
Cui, Dong-Yu [1 ,2 ]
机构
[1] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China
[2] Chinese Res Inst Environm Sci, Lab Water Environm Syst Engn, Beijing 100012, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Dissolved organic matter; Excitation-emission matrix (EEM) spectra; Parallel factor analysis (PARAFAC); Fluorescence regional integration (FRI); Projection pursuit cluster (PPC) model; BIOLOGICAL STABILITY; HUMIC SUBSTANCES; RAPID ASSESSMENT; SPECTROSCOPY;
D O I
10.1016/j.chemosphere.2013.04.039
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The present several humification indexes cannot provide the whole fluorescence information on organic matter composition and the evaluation results from them are inconsistent sometimes. In this study, fluorescence excitation-emission matrix spectra coupled with parallel factor analysis and fluorescence regional integration analysis were utilized to investigate organic matter humification, and the projection pursuit cluster (PPC) model was applied to form a suitable index for overcoming the difficulties in multi-index evaluation. The result showed that the ratio between the volume of humic- and fulvic-like fluorescence region and the volume of protein-like fluorescence region not only revealed the heterogeneity of organic matter, but also provided more accurate information on organic matter humification. In addition, the results showed that the PPC model could be used to characterize integrally the humification, and the projected characteristic value calculated from the PPC model could be used as the integrated humification evaluation index. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2208 / 2215
页数:8
相关论文
共 30 条
[1]   In search of a reliable technique for the determination of the biological stability of the organic matter in the mechanical-biological treated waste [J].
Barrena, Raquel ;
d'Imporzano, Giuliana ;
Ponsa, Sergio ;
Gea, Teresa ;
Artola, Adriana ;
Vazquez, Felicitas ;
Sanchez, Antoni ;
Adani, Fabrizio .
JOURNAL OF HAZARDOUS MATERIALS, 2009, 162 (2-3) :1065-1072
[2]   Classification and calibration of organic matter fluorescence data with multiway analysis methods and artificial neural networks: an operational tool for improved drinking water treatment [J].
Bieroza, Magdalena ;
Baker, Andy ;
Bridgeman, John .
ENVIRONMETRICS, 2011, 22 (03) :256-270
[3]   Exploratory analysis of excitation-emission matrix fluorescence spectra with self-organizing maps as a basis for determination of organic matter removal efficiency at water treatment works [J].
Bieroza, Magdalena ;
Baker, Andy ;
Bridgeman, John .
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2009, 114
[4]   Fluorescence excitation - Emission matrix regional integration to quantify spectra for dissolved organic matter [J].
Chen, W ;
Westerhoff, P ;
Leenheer, JA ;
Booksh, K .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2003, 37 (24) :5701-5710
[5]   Fluorescence spectroscopy reveals ubiquitous presence of oxidized and reduced quinones in dissolved organic matter [J].
Cory, RM ;
McKnight, DM .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2005, 39 (21) :8142-8149
[6]   Test methods for assessing the biological stability of biodegradable waste [J].
Cossu, Raffaello ;
Raga, Roberto .
WASTE MANAGEMENT, 2008, 28 (02) :381-388
[7]  
Cui HJ, 1997, STAT PROBABIL LETT, V32, P235
[8]   Critical evaluation of municipal solid waste composting and potential compost markets [J].
Farrell, M. ;
Jones, D. L. .
BIORESOURCE TECHNOLOGY, 2009, 100 (19) :4301-4310
[9]   Hydrologic control of dissolved organic matter biogeochemistry in pools of a subtropical dryland river [J].
Fellman, Jason B. ;
Dogramaci, Shawan ;
Skrzypek, Grzegorz ;
Dodson, Wade ;
Grierson, Pauline F. .
WATER RESOURCES RESEARCH, 2011, 47
[10]   PROJECTION PURSUIT ALGORITHM FOR EXPLORATORY DATA-ANALYSIS [J].
FRIEDMAN, JH ;
TUKEY, JW .
IEEE TRANSACTIONS ON COMPUTERS, 1974, C 23 (09) :881-890