研究废水中溶解有机物质的光谱和铜结合特性,使用二维Savitzky-Golay二次差异化-PARAFACAC二维Savitzky-Golay二次差异化EEM
Bilal Touseef1, Xiaolong Yang1, Wenhong Fan1,2
1Department of Environmental Science and Engineering, School of Space and Environment, Beihang University, Beijing, 10191, China.
概括
一种名为2D-SG-2nd-df-PARAFAC的新方法可靠地描述废水中的溶解有机物 (DOM) 和与Cu2+等重金属的结合,改进了传统的PARAFAC分析.
科学领域:
- 环境化学环境化学
- 分析化学 分析化学
- 水处理技术 水处理技术
背景情况:
- 废水中的溶解有机物 (DOM) 影响重金属的动态和生物可用性.
- 传统的激发发射矩阵 (EEM) -平行因子分析 (PARAFAC) 对于DOM量化具有局限性,包括光谱重叠和峰值转移.
- 了解DOM-重金属相互作用对于有效的废水处理和环境风险评估至关重要.
研究的目的:
- 为了研究铜离子 (Cu2+) 与DOM在不同废水处理阶段的结合.
- 为了比较传统的EEM-PARAFAC与新的2D-SG-2nd-df-PARAFAC方法的有效性,用于DOM表征和金属复合分析.
- 评估多个废水处理装置中与Cu2+复合时DOM的结构变化.
主要方法:
- 分析了废水处理厂的流入,无氧,有氧和废水单位的样本.
- 使用Cu2+添加进行光定位.
- 两个维的Savitzky-Golay二次差异-PARAFAC (2D-SG-2nd-df-PARAFAC) 和传统的EEM-PARAFAC被用于DOM组件分离和分析.
主要成果:
- 两种方法都确定了四种DOM成分 (类似蛋白质的,类似酸的和类似酸的).
- Cu2+-DOM复合揭示了DOM组成的明显差异,富尔维酸类成分的结合强度增加,废水的结构成分发生了变化.
- 与传统的PARAAFAC相比,2D-SG-2nd-df-PARAFAC方法提供了优异的结果,显示没有峰值转移,并且更好地适合Cu2+-DOM复合的模型.
结论:
- 2D-SG-2nd-df-PARAFAC技术是用于DOM表征和量化废水中的金属-DOM相互作用的更可靠方法.
- 废水处理过程显著改变了DOM的组成及其与重金属的结合亲和力.
- 这项研究强调了先进分析技术对于准确评估水生环境中的污染物行为的重要性.
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