基于固相萃取和超分子溶剂萃取的饮用水中未知污染物识别技术研究

Identification of unknown pollutants in drinking water based on solid-phase extraction and supramolecular solvent extraction

  • 摘要:
    背景 随着工业化的发展,越来越多的新污染物进入水环境,对饮用水安全构成了严重威胁。因此,建立饮用水未知危害因素识别和安全预警体系尤为重要。其中,非靶筛查是这一过程中的关键环节,但其有效性很大程度上受到前处理方法覆盖范围的限制。
    目的 在整合现代色谱/质谱技术以及多重数据挖掘的基础上,建立一种全面富集饮用水中未知污染物的非歧视性样品前处理方法,为发现和鉴定饮用水中未知有机危害因素奠定技术基础。
    方法 本研究建立了一套基于超分子与固相萃取相结合的非歧视性前处理方法。选择333种农药、194种药品及个人护理产品(PPCPs)以及59种全氟化合物(PFASs)作为目标化合物进行前处理方法的优化,验证方法的覆盖性。比较采用不同洗脱液对目标化合物绝对回收率的影响,选择回收率最高的条件用于样品预处理;比较不同超分子溶剂和加盐量对目标化合物的绝对回收率影响,选择最适宜的溶剂和加盐量。
    结果 基于目标化合物回收率对固相萃取洗脱溶液、超分子萃取溶剂及加盐量进行优化,本研究发现,在2 mL甲醇、2 mL甲醇(含1%甲酸)、2 mL乙酸乙酯、2 mL二氯甲烷洗脱溶液、己二醇超分子溶剂以及426 mg加盐量条件下,目标化合物能够获得最佳的提取回收率;基于以上条件建立的检测方法,所有目标物在0.1~100.0 ng·mL−1范围内具有良好的线性关系,R2>0.99。方法检出限在0.01~0.95 ng·mL−1之间,95%的目标化合物的回收率位于20%~120%区间,相对标准偏差(RSD)小于30%,精密度较好。
    结论 结合固相萃取和超分子溶剂萃取的前处理方法能够高效富集饮用水中低、中、高极性的污染物,实现了对饮用水中种类繁多且痕量污染物的广谱富集,为实现对饮用水中有机污染物的广谱、高通量筛查鉴定以及城市饮用水公共安全预警体系的建立提供技术参考。

     

    Abstract:
    Background With the progression of industrialization, an increasing number of emerging contaminants are entering aquatic environments, posing significant threats to the safety of drinking water. Therefore, establishing a system for identifying unknown hazardous factors and implementing safety warning mechanisms for drinking water is of paramount importance. Among these efforts, non-target screening plays a critical role, but its effectiveness is largely constrained by the scope of coverage of sample pre-treatment methods.
    Objective To integrate modern chromatography/mass spectrometry techniques with advanced data mining methods to develop a non-discriminatory sample pre-treatment method for comprehensive enrichment of unknown contaminants in drinking water, laying a technical foundation for the discovery and identification of unknown organic hazardous factors in drinking water.
    Methods A non-discriminatory pre-treatment method based on supramolecular and solid-phase extraction was developed. The final target compounds including 333 pesticides, 194 pharmaceuticals and personal care products (PPCPs), and 59 per- and polyfluoroalkyl substances (PFASs) were used for optimizing the pre-treatment method, confirming its coverage. The impacts of different eluents on the absolute recovery rates of target compounds were compared to select the conditions with the highest recovery for sample pre-treatment. The effects of different supramolecular solvents and salt concentrations on target compound recovery were also evaluated to determine the most suitable solvent and salt concentration.
    Results The solid-phase extraction elution solvents, supramolecular extraction solvents, and salt concentrations were optimized based on the target compound recovery rates. The optimal recovery conditions were achieved using 2 mL methanol, 2 mL methanol (containing 1% formic acid), 2 mL ethyl acetate, 2 mL dichloromethane, hexanediol supramolecular solvent, and 426 mg salt. The detection method developed based on these conditions showed a good linear relationship for all target compounds in the range of 0.1-100.0 ng·mL−1, with R² > 0.99. The method’s limit of detection ranged from 0.01 ng−1 to 0.95 ng−1, and 95% of target compounds were recovered in the range of 20%-120%, with relative standard deviation (RSD) less than 30%, indicating good precision.
    Conclusion The combined pre-treatment method of solid-phase extraction and supramolecular solvent extraction can effectively enrich contaminants in drinking water across low, medium, and high polarities, enabling broad-spectrum enrichment of diverse trace contaminants in drinking water. It provides technical support for broad-spectrum, high-throughput screening and identification of organic pollutants in drinking water, and also serves as a reference for establishing urban drinking water public safety warning systems.

     

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