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Application of mu Raman Microscopy to the Identification of Individual Airborne Particles: Preliminary Results from Kozani's Area, Northern Greece

机译:mu拉曼显微镜在识别单个空气中颗粒物中的应用:希腊北部科扎尼地区的初步结果

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摘要

In the present study, Raman spectroscopy combined with a con-focal microscope has been applied for the identification of airborne particulate matter collected from Kozani's area, northern Greece. This technique provided a rapid and accurate identification of the molecular composition of micrometer sized (down to 2 mu m) airborne particles. Different experimental conditions (laser excitation wavelength of 532 and 780nm, slit and pinhole aperture, 50x and 100x objectives, number of exposures, and time of each exposure) were employed in order to obtain the optimal analytical parameters. The slit aperture and the 532nm laser source were preferable. Removal of the background interference caused by the blank Teflon filter was performed for the acquisition of Raman spectra of minute (<10 mu m) airborne particles, whereas no background correction was necessary for larger particles (>10 mu m). Several distinct mineral phases were determined, such as: the common geogenic minerals calcite, gypsum, anhydrite, titanium oxides and microcline (feldspar); the anthropogenic minerals, black carbon and nitrates; and the lepidolite and smectite (phyllosilicates) attributable to Saharan dust episodes.
机译:在本研究中,拉曼光谱法与共聚焦显微镜相结合已用于鉴定从希腊北部科扎尼地区收集的空气中颗粒物。这项技术可以快速,准确地识别微米级(低至2微米)空气传播颗粒的分子组成。为了获得最佳分析参数,采用了不同的实验条件(532和780nm的激光激发波长,狭缝和针孔孔径,50倍和100倍物镜,曝光次数和每次曝光时间)。狭缝孔径和532nm激光源是优选的。去除了由空白的特富龙滤光片引起的背景干扰,以获取微小(<10微米)机载颗粒的拉曼光谱,而对于较大的颗粒(> 10微米)则不需要背景校正。确定了几个不同的矿物相,例如:常见的地质矿物方解石,石膏,硬石膏,氧化钛和微晶石(长石);人为矿物,黑碳和硝酸盐;以及归因于撒哈拉尘埃事件的锂云母和蒙脱石(页硅酸盐)。

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