title: Novel insights into anoxic/aerobic(1)/aerobic(2) biological fluidized-bed system for coke wastewater treatment by fluorescence excitation-emission matrix spectra coupled with parallel factor analysis.
abstract: Fluorescence spectroscopy coupled with parallel factor analysis (PARAFAC) was applied to investigate the contaminant removal efficiency and fluorescent characteristic variations in a full scale coke wastewater (CWW) treatment plant with a novel anoxic/aerobic(1)/aerobic(2) (A/O(1)/O(2)) process, which combined with internal-loop fluidized-bed reactor. Routine monitoring results indicated that primary contaminants in CWW, such as phenols and free cyanide, were removed efficiently in A/O(1)/O(2) process (removal efficiency reached 99% and 95%, respectively). Three-dimensional excitation-emission matrix fluorescence spectroscopy and PARAFAC identified three fluorescent components, including two humic-like fluorescence components (C1 and C3) and one protein-like component (C2). Principal component analysis revealed that C1 and C2 correlated with COD (correlation coefficient (r)=0.782, p<0.01 and r=0.921, p<0.01), respectively) and phenols (r=0.796, p<0.01 and r=0.914, p<0.01, respectively), suggesting that C1 and C2 might be associated with the predominating aromatic contaminants in CWW. C3 correlated with mixed liquor suspended solids (r=0.863, p<0.01) in fluidized-bed reactors, suggesting that it might represent the biological dissolved organic matter. In A/O(1)/O(2) process, the fluorescence intensities of C1 and C2 consecutively decreased, indicating the degradation of aromatic contaminants. Correspondingly, the fluorescence intensity of C3 increased in aerobic(1) stage, suggesting an increase of biological dissolved organic matter.
authors: Department of Environmental Engineering, Jinan University, Guangzhou 510632, PR China; The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, College of Environment and Energy, South China University of Technology, Higher Education Mega Center, Guangzhou 510006, PR China. Electronic address: ouhuase@126.com.
authors: Hua-Se
authors: HS
authors: Ou
authors: The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, College of Environment and Energy, South China University of Technology, Higher Education Mega Center, Guangzhou 510006, PR China.
authors: Chao-Hai
authors: CH
authors: Wei
authors: Department of Environmental Engineering, Jinan University, Guangzhou 510632, PR China.
authors: Ce-Hui
authors: CH
authors: Mo
authors: The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, College of Environment and Energy, South China University of Technology, Higher Education Mega Center, Guangzhou 510006, PR China.
authors: Hai-Zhen
authors: HZ
authors: Wu
authors: The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, College of Environment and Energy, South China University of Technology, Higher Education Mega Center, Guangzhou 510006, PR China.
authors: Yuan
authors: Y
authors: Ren
authors: The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, College of Environment and Energy, South China University of Technology, Higher Education Mega Center, Guangzhou 510006, PR China.
authors: Chun-Hua
authors: CH
authors: Feng
mesh_terms: D000332:Aerobiosis; D000693:Anaerobiosis; D057919:Biological Oxygen Demand Analysis; D003077:Coke; D005163:Factor Analysis, Statistical; D006841:Hydrocarbons, Aromatic / Q000032:analysis; D010636:Phenols / Q000032:analysis; D025341:Principal Component Analysis; D013050:Spectrometry, Fluorescence / Q000379:methods*; D062065:Wastewater / Q000032:analysis*; D014874:Water Pollutants, Chemical / Q000032:analysis*; D018508:Water Purification / Q000379:methods*
chemical_list: D003077:Coke; D006841:Hydrocarbons, Aromatic; D010636:Phenols; D062065:Wastewater; D014874:Water Pollutants, Chemical
keywords: Chromophoric dissolved organic matter; Coke wastewater; Cyanide; Parallel factor analysis; Phenol; Principal component analysis