Department of Environmental Engineering, Peking University, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing 100871, China.
State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, CAS, POB 2871, Beijing 100085, China.
Water Res. 2020 Oct 15;185:116206. doi: 10.1016/j.watres.2020.116206. Epub 2020 Jul 20.
This study compared chlorination-induced changes of the properties of natural organic matter (NOM) represented by standard humic substances and NOM present in pristine and anthropogenically-affect reservoirs, rivers, groundwater and seawater. The chlorination-induced changes of NOM properties were quantified using the differential absorbance spectra (DAS) which were processed via numeric deconvolution. Six Gaussian bands were found to comprise the DAS of all examined waters. These bands (denoted as A0, A1, A2, A3, A4 and A5, respectively) have maxima located at ca. 200, 240, 276, 316, 385 and 547 nm. The bands A1-A4 were observed in the DAS of representative model chlorinated compounds. Quantum chemical (QC) calculations were carried out to examine the intrinsic nature of these bands and electronic transitions associated with them. QC data demonstrate that bands A1 and A2 are present in almost all aromatic organic species, A3 is likely to be associated with acetophenone- and/or styrene-like groups. A4 can be attributed to the engagement of m-hydroxyaromatic and flavone-type groups typical for the polyphenolic moiety in NOM and known to be the key precursors of disinfection by-product (DBP) formation. Thus, the intensity of band A4 is predicted to be an especially strong predictor of DBP formation.
本研究比较了以标准腐殖质为代表的天然有机物(NOM)和原始及人为影响的水库、河流、地下水和海水中的 NOM 的氯化诱导特性变化。通过数值解卷积处理差分吸收光谱(DAS)来量化 NOM 特性的氯化诱导变化。发现所有被检测水样的 DAS 由六个高斯带组成。这些带(分别表示为 A0、A1、A2、A3、A4 和 A5)的最大值分别位于约 200、240、276、316、385 和 547nm 处。带 A1-A4 出现在代表性模型氯化化合物的 DAS 中。进行了量子化学(QC)计算以检查这些带的固有性质及其相关的电子跃迁。QC 数据表明,带 A1 和 A2 存在于几乎所有芳香族有机物质中,A3 可能与苯乙酮和/或苯乙烯类似基团有关。A4 可归因于 NOM 中多酚部分的 m-羟基芳族和黄酮型基团的参与,这是众所周知的消毒副产物(DBP)形成的关键前体。因此,带 A4 的强度预计是 DBP 形成的一个特别强的预测因子。