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Multicomponent analysis using a confocal Raman microscope

机译:使用共焦拉曼显微镜的多组分分析

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摘要

Measuring the concentration of multiple chemical components in a low-volume aqueous mixture by Raman spectroscopy has received significant interest in the literature. All of the contributions to date focus on the design of optical systems that facilitate the recording of spectra with high signal-to-noise ratio by collecting as many Raman scattered photons as possible. In this study, the confocal Raman microscope setup is investigated for multicomponent analysis. Partial least-squares regression is used to quantify physiologically relevant aqueous mixtures of glucose, lactic acid, and urea. The predicted error is 17.81 mg/dL for glucose, 10.6 mg/dL for lactic acid, and 7.6 mg/dL for urea, although this can be improved with increased acquisition times. A theoretical analysis of the method is proposed, which relates the numerical aperture and the magnification of the microscope objective, as well as the confocal pinhole size, to the performance of the technique. (C) 2018 Optical Society of America
机译:通过拉曼光谱法测量低容量水性混合物中多种化学成分的浓度已接受对文献的显着兴趣。所有迄今为止的贡献专注于通过收集尽可能多的拉曼散射光子,便于以高信噪比记录光谱的光学系统的设计。在该研究中,研究了共聚焦拉曼显微镜设置以进行多组分分析。部分最小二乘回归用于量化生理相关的葡萄糖,乳酸和尿素的水性混合物。葡萄糖的预测误差为17.81mg / dl,乳酸10.6mg / dl,尿素7.6mg / dl,但随着采集时间的增加,这可以提高。提出了该方法的理论分析,其涉及数值孔径和显微镜物镜的放大率,以及辅助针孔尺寸,以及技术的性能。 (c)2018年光学学会

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