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Chemical Analysis of Air Pollutant Particulate Matters Based on Surface Enhanced Raman Spectroscopy (SERS)

机译:基于表面增强拉曼光谱(SERS)的空气污染物颗粒物的化学分析

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Particulate matters (PMs), which are condensed from air pollutants, pose severe health threats in many industrialized countries. Various chemical analyses of the particulate matters are crucial to specify their air pollutant sources and reduce PMs. Here, we report a chemical analysis technique for the PMs based on Surface Enhanced Raman Spectroscopy (SERS). Distinctive Raman spectroscopic signals are detected from PMs whose surface are dispersed with gold nanoparticle aggregates. By exploiting the molecular specific sensitivity of SERS, we distinguish between the PMs according to their sources. To be specific, artificially generated PM materials as a reference are successfully distinguished from soil dusts collected from on-site. This work would pave a way towards identifying the PMs according to their sources and developing an on-site chemical analysis of PMs.
机译:颗粒状物质(PMS),这些物质(PMS)从空气污染物凝聚,在许多工业化国家构成严重的健康威胁。颗粒物质的各种化学分析至关重要,以指定空气污染物源并减少PM。在这里,我们报告了基于表面增强拉曼光谱(SERS)的PMS的化学分析技术。从PM中检测到不同的拉曼光谱信号,其表面分散到金纳米颗粒聚集体。通过利用SERS的分子特异性敏感性,我们根据它们的来源区分PM。具体地,作为参考的人工产生的PM材料从现场收集的土壤粉尘成功地区分。这项工作会根据他们的来源进行识别PM的方法,并开发PMS的现场化学分析。

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