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染料探针技术对二级出水中优势污染物的定量检测 被引量:2

Quantitative Analysis of Dominant Pollutants in Secondary Effluent via Dye Probe Technology
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摘要 分别以刚果红和中性红为染料探针,建立了牛血清蛋白质(BSA)和海藻酸多糖(SA)含量与共振光散射(RLS)发射光谱强度间的线性关系;以甲苯胺蓝为染料探针,建立了腐殖酸(HA)含量与紫外吸光度间的线性关系;优化了3种标准物质的检测浓度范围及溶液p H值条件;考察了染料探针分析方法对标准物的二元和三元混合样品中的回收率.结果表明在适宜的浓度范围内,BSA、HA、SA浓度与染料探针光谱强度间的线性相关系数R>0.98,3种标准物在混合样品中的回收率不小于95%,标准误差低于0.11%.以紫外光谱和3D-EEM光谱特征作为城市污水二级出水样品中蛋白质、多糖和腐殖酸的定性依据,确认了4种二级出水样品中的优势污染物.通过染料-探针技术与国标法测得的多糖和蛋白质质量浓度的相对偏差在1.2%~0.04%之间. The linear relationship between the concentration of either bovine serum albumin( BSA) or sodium alginate( SA) and the intensity of a resonance light scattering( RLS) spectrum was established by using Congo red and neutral red as the dye probes,respectively. Moreover,the linear relationship between the concentration of humic acids( HA) and UV absorbance was determined by using toluidine blue( TB) as the dye probe. The detection of concentration range and the p H value of three kinds of standard substances were optimized. The recovery rate of bi-and tri-element samples of the standard objects was investigated by means of the dye probe analysis method. The results show that,in the appropriate concentration range,the linear correlation coefficients between the concentration of BSA,HA,or SA and the intensity of its corresponding dye probe spectrum were all high,at 0. 98. The recovery rates of the three kinds of standard objects in mixed samples were all greater than 95%,and the standard errors were all less than 0. 11%.Based on qualitative analysis of the proteins,polysaccharides,and humic acids in the secondary water discharge samples of urban sewage obtained via UV and RLS spectra,the dominant pollutants were confirmed in the four kinds of secondary effluent. The relative deviations of the concentration of polysaccharides and proteins measured using the dye probe technique and the national standard method ranged were from 1. 2% to 0. 04%.
出处 《环境科学》 EI CAS CSCD 北大核心 2018年第2期852-858,共7页 Environmental Science
基金 西安建筑科技大学创新团队项目 陕西省科技创新团队(2017KCT-19-01) 陕西省科技统筹创新工程项目(2017ZDCXL-GY-07-03)
关键词 染料探针 共振光散射 紫外分光光度法 二级出水 标准有机污染物 dye probes resonance light scattering UV spectrophotometry secondary effluent standard organics pollutants
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