Estimating the concentration and biodegradability of organic matter in 22 wastewater treatment plants using fluorescence excitation emission matrices and parallel factor analysis.
Estimating the concentration and biodegradability of organic matter in 22 wastewater treatment plants using fluorescence excitation emission matrices and parallel factor analysis.
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DOI：
10.3390/s140101771
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发表时间：
2014-01-20
期刊：
影响因子：
--
通讯作者：
Hur J
中科院分区：
文献类型：
--
作者：
Yang L;Shin HS;Hur J
本研究旨在利用基于荧光激发发射矩阵和平行因子分析的光学传感技术(EEM-PARAFAC)监测韩国22个生物污水处理厂废水样品中荧光成分的变化，并探索其对总有机碳(TOC)、溶解有机碳(DOC)、生化需氧量(BOD)、化学需氧量(COD)以及废水的可生化性的预测能力。用EEM-PARAFAC从样品中鉴定出三种荧光成分，包括类蛋白质(C1)、类富里酸(C2)和类腐殖质(C3)。在所研究的所有处理类型中，C1的去除效率最高(69%±26%~81%±8%)，其次是C2(37%±27%~65%±35%)，而类腐殖质成分(即C3)在生物处理过程中有积累的趋势。C2和C3(%C2和%C3)分别由43%±6%和3%±7%增加到10%±8%。与其他两种荧光成分相比，有机碳、有机碳、生化需氧量和化学需氧量与C1的荧光强度的相关性最强(r=0.790-0.817)。采用基于C1Fmax和悬浮物(SS)(r=0.856~0.865)的多元回归方法，提高了C1值对总有机碳、BOD和COD值的预测能力，两者均易于现场监测。有机物在BOD/COD中的生物降解率与PARAFAC各组分及其组合呈显著正相关(r=−0.598-0.613，p<；0.001)，相关系数最大的是C_1。通过基于%C_1、%C_2和C_3/C_2的多元回归进一步增强了估计能力(r=−0.691)。
This study aimed at monitoring the changes of fluorescent components in wastewater samples from 22 Korean biological wastewater treatment plants and exploring their prediction capabilities for total organic carbon (TOC), dissolved organic carbon (DOC), biochemical oxygen demand (BOD), chemical oxygen demand (COD), and the biodegradability of the wastewater using an optical sensing technique based on fluorescence excitation emission matrices and parallel factor analysis (EEM-PARAFAC). Three fluorescent components were identified from the samples by using EEM-PARAFAC, including protein-like (C1), fulvic-like (C2) and humic-like (C3) components. C1 showed the highest removal efficiencies for all the treatment types investigated here (69% ± 26%–81% ± 8%), followed by C2 (37% ± 27%–65% ± 35%), while humic-like component (i.e., C3) tended to be accumulated during the biological treatment processes. The percentage of C1 in total fluorescence (%C1) decreased from 54% ± 8% in the influents to 28% ± 8% in the effluents, while those of C2 and C3 (%C2 and %C3) increased from 43% ± 6% to 62% ± 9% and from 3% ± 7% to 10% ± 8%, respectively. The concentrations of TOC, DOC, BOD, and COD were the most correlated with the fluorescence intensity (Fmax) of C1 (r = 0.790–0.817), as compared with the other two fluorescent components. The prediction capability of C1 for TOC, BOD, and COD were improved by using multiple regression based on Fmax of C1 and suspended solids (SS) (r = 0.856–0.865), both of which can be easily monitored in situ. The biodegradability of organic matter in BOD/COD were significantly correlated with each PARAFAC component and their combinations (r = −0.598–0.613, p < 0.001), with the highest correlation coefficient shown for %C1. The estimation capability was further enhanced by using multiple regressions based on %C1, %C2 and C3/C2 (r = −0.691).
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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
影响因子：
12.8
作者：
Chen, Baiyang;Seong-Nam, Nam;Amy, Gary
通讯作者：
Amy, Gary
影响因子：
3
作者：
Alberts, JJ;Takács, M
通讯作者：
Takács, M
影响因子：
3
作者：
Jorgensen, Linda;Stedmon, Colin A.;Sondergaard, Morten
通讯作者：
Sondergaard, Morten
影响因子：
64.8
作者：
Loh, AN;Bauer, JE;Druffel, ERM
通讯作者：
Druffel, ERM