Tracking natural organic matter (NOM) in a drinking water treatment plant using fluorescence excitation-emission matrices and PARAFAC
Tracking natural organic matter (NOM) in a drinking water treatment plant using fluorescence excitation-emission matrices and PARAFAC
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DOI：
10.1016/j.watres.2010.09.005
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发表时间：
2011-01-01
期刊：
影响因子：
12.8
通讯作者：
Amy, G. L.
中科院分区：
文献类型：
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作者：
Baghoth, S. A.;Sharma, S. K.;Amy, G. L.
使用荧光激发发射矩阵 (F-EEM) 和平行因子分析 (PARAFAC) 对饮用水处理序列中的水样中的天然有机物 (NOM) 进行表征。使用来自两个全规模水处理厂的 147 个 F-EEM 水样开发并验证了七个组成部分的 PARAFAC 模型。研究发现，荧光成分的光谱特征与之前从不同水生环境的溶解有机物 (DOM) 的 F-EEM 中提取的光谱特征相似。其中五种成分是类腐殖质的，具有陆地、人为或海洋来源，而两种成分是类蛋白质，其荧光光谱与类色氨酸和类酪氨酸荧光团相似。对一个处理厂的样品进行了七种 PARAFAC 成分的最大荧光强度 (F(max)) 与使用有机碳检测液相色谱 (LC-OCD) 获得的同一样品的 NOM 组分（腐殖质、结构单元、中性物质、生物聚合物和低分子量酸）之间的相关性分析。样品 DOC 浓度、UVA(254) 和 7 个 PARAFAC 成分的 F(max) 与 LC-OCD 组分的 DOC 浓度之间存在显着相关性 (p < 0.01)。三种类腐殖质成分对 DOC 和腐殖质部分浓度的预测结果略好于 UVA (254)。色氨酸样和酪氨酸样成分与生物聚合物部分呈正相关。这些结果表明，使用 PARAFAC 从 F-EEM 中提取的荧光成分可能与之前定义的 NOM 组分相关，并且它们可以提供一种替代工具来评估水处理过程中感兴趣的 NOM 组分的去除情况。 (C) 2010 Elsevier Ltd. 保留所有权利。
Natural organic matter (NOM) in water samples from a drinking water treatment train was characterized using fluorescence excitation emission matrices (F-EEMs) and parallel factor analysis (PARAFAC). A seven component PARAFAC model was developed and validated using 147 F-EEMs of water samples from two full-scale water treatment plants. It was found that the fluorescent components have spectral features similar to those previously extracted from F-EEMs of dissolved organic matter (DOM) from diverse aquatic environments. Five of these components are humic-like with a terrestrial, anthropogenic or marine origin, while two are protein-like with fluorescence spectra similar to those of tryptophan-like and tyrosine-like fluorophores. A correlation analysis was carried out for samples of one treatment plant between the maximum fluorescence intensities (F(max)) of the seven PARAFAC components and NOM fractions (humics, building blocks, neutrals, biopolymers and low molecular weight acids) of the same sample obtained using liquid chromatography with organic carbon detection (LC-OCD). There were significant correlations (p < 0.01) between sample DOC concentration, UVA(254), and F(max) for the seven PARAFAC components and DOC concentrations of the LC-OCD fractions. Three of the humic-like components showed slightly better predictions of DOC and humic fraction concentrations than UVA(254). Tryptophan-like and tyrosine-like components correlated positively with the biopolymer fraction. These results demonstrate that fluorescent components extracted from F-EEMs using PARAFAC could be related to previously defined NOM fractions and that they could provide an alternative tool for evaluating the removal of NOM fractions of interest during water treatment. (C) 2010 Elsevier Ltd. All rights reserved.