Jiangsu Key Laboratory for Chemistry of Low-Dimensional Materials, Jiangsu Engineering Laboratory for Environment Functional Materials, Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environmental Protection, School of Chemistry and Chemical Engineering, Huaiyin Normal University, Huaian 223300, China.
College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China.
Ecotoxicol Environ Saf. 2022 Jun 15;238:113567. doi: 10.1016/j.ecoenv.2022.113567. Epub 2022 Apr 28.
Biological treatment can remove more than 89.8% of total organic carbon (TOC) and 94.4% of fluorescent dissolved organic matter (DOM) in the coking wastewater, thereby affecting the migration, transformation and bioavailability and binding characteristics of heavy metals (HMs). The results of parallel factor analysis (PARAFAC) show that protein-like materials accounted for 97.53% in the coking wastewater DOM, a large number of humic-like substances are produced and accounted for more than 55.40% after biological treatment. A new spectral data processing method, the 1/n-th power transformation after two-dimensional correlated spectroscopy (2D-COS) in combination with synchronous fluorescence spectra (SFS), can identify small features obscured by strong peaks, and reveal more binding sites as well as preserve the sequential order information. The result indicates that the preferential bonding of Cu(II) is at 306 nm (protein-like) for coking wastewater DOM, and at 514 nm (humic-like) for effluent DOM. The C-O group of esters and alcohols can preferentially complexate with Cu(II) in the coking wastewater and effluent DOM. The log K values of PARAFAC components with Cu(II) are in the range of 3.59-5.06 for coking wastewater DOM, and in the range of 4.80-5.64 for the effluent DOM. Log K values for protein-like materials with Cu(II) are higher than these for fulvic- and humic-like substances. Humic-like substances can form more stable complexes with Cu(II) in the effluent DOM. Biological treatment increases the chemical stability of DOM-Cu(II) complexes, thereby further reducing the environmental risk of Cu(II).
生物处理可去除焦化废水中 89.8%以上的总有机碳（TOC）和 94.4%的荧光溶解有机物（DOM），从而影响重金属（HM）的迁移、转化和生物有效性及结合特性。平行因子分析（PARAFAC）的结果表明，焦化废水中 DOM 中的蛋白类物质占 97.53%，生物处理后产生了大量的类腐殖质物质，占比超过 55.40%。一种新的光谱数据处理方法，即二维相关光谱（2D-COS）与同步荧光光谱（SFS）相结合的 1/n 次幂变换，可以识别被强峰掩盖的小特征，并揭示更多的结合位点，同时保留顺序信息。结果表明，Cu(II)优先与焦化废水 DOM 中的 306nm 处（蛋白类）和出水 DOM 中的 514nm 处（类腐殖质）结合。酯和醇的 C-O 基团可以优先与焦化废水和出水 DOM 中的 Cu(II)络合。PARAFAC 组分与 Cu(II)的 log K 值在焦化废水 DOM 中为 3.59-5.06，在出水 DOM 中为 4.80-5.64。Cu(II)与蛋白类物质的 log K 值高于与富里酸类和腐殖酸类物质的 log K 值。类腐殖质物质在出水 DOM 中可以与 Cu(II)形成更稳定的配合物。生物处理增加了 DOM-Cu(II)配合物的化学稳定性，从而进一步降低了 Cu(II)的环境风险。
