便携式气质联用技术在地下水异色物质分析和溯源中的应用

Application of Portable Gas Chromatography-mass Spectrometry Technology in the Analysis and Source Tracing of Heterochromatic Substances in Groundwater

  • 摘要: 地下水异色物质分析是环境监测领域的难点问题, 传统分析方法存在时效性差、操作复杂等局限。本研究基于固相微萃取结合便携式气质联用技术(SPME-PGC-MS)建立了一种地下水异色物质现场分析方法, 基于生产厂旧址地下水异色污染扩散至河道的典型场景, 同步对地下水样品进行定性筛查和关键物质的定量测定。通过定性筛查, 确定水中异色物质主要为苯胺类物质, 包括苯胺、N, N-二甲基苯胺、N-乙基苯胺、N-乙基邻甲苯胺和N, N-二乙基苯胺等; 进一步依托定性筛查结果, 确认了河道污染的主要来源。同时, 该方法对苯胺类化合物的定量线性良好, 在低(2~50 μg·L-1)、中(50~600 μg·L-1)、高(0.6~10 mg·L-1)浓度梯度内线性相关系数R2均大于0.98, 各组分回收率在93.81%~107.77%之间, 方法检出限为0.44~0.63 μg·L-1。通过定量分析, 精准锁定了污染物扩散范围, 并确定N-乙基苯胺是研究地块异色污染特征标记物。本研究开发的SPME-PGC-MS技术, 为地下水污染快速调查监测提供了新思路, 能有效克服传统技术时效性差、成本高等局限, 对地块后续风险管控措施的制定提供了重要的数据支撑, 有望成为应急响应、预警、长期监测等环节的核心技术手段。

     

    Abstract: The analysis of discolored substances in groundwater remains a challenging issue in the field of environmental monitoring. Traditional analytical methods have limitations such as poor timeliness and complex operation. This study established an on-site analysis method for discolored substances in groundwater based on solid-phase microextraction combined with portable gas chromatography-mass spectrometry (SPME-PGC-MS). Based on a typical scenario of discolor pollution spreading to rivers from a surrounding enterprise, qualitative screening and quantitative determination of key substances were performed on groundwater samples simultaneously. Through qualitative screening, it was determined that the main discolored substances in groundwater are aniline derivatives, including aniline, N, N-dimethylaniline, N-ethylaniline, N-ethylo-toluidine and N, N-diethylaniline. Further relying on qualitative screening results, the main source of river pollution was confirmed. Meanwhile, the method showed good quantitative linearity for aniline compounds (R2>0.98), with recovery rates ranging from 93.81% to 107.77%, relative standard deviations of 6.23% to 10.31%, and the detection limits of 0.44 to 0.63 μg·L-1. Through quantitative analysis, the diffusion range of pollutants can be accurately identified, and N-ethylaniline can be determined as a characteristic marker of local area discolor pollution. The SPME-PGC-MS technology developed in this study provides a new approach for rapid investigation and monitoring of groundwater pollution. It can effectively overcome the limitations of traditional technology, such as poor timeliness and high cost, and provide important data support for the formulation of subsequent groundwater risk control measures for the site. It is expected to become a core technical means for emergency response, early warning, and long-term monitoring of groundwater pollution.

     

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