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利用空间偏移拉曼光谱法预测浑浊介质中的亚层深度。

Prediction of sublayer depth in turbid media using spatially offset Raman spectroscopy.

作者信息

Macleod N A, Goodship A, Parker A W, Matousek P

机构信息

Central Laser Facility, Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Science and Innovation Campus, Didcot, Oxfordshire, OX11 0QX, United Kingdom.

出版信息

Anal Chem. 2008 Nov 1;80(21):8146-52. doi: 10.1021/ac801219a. Epub 2008 Sep 12.

Abstract

We demonstrate experimentally the feasibility of monitoring the depth of optically thick layers within turbid media using spatially offset Raman spectroscopy (SORS) in combination with multivariate analysis. The method uses the deep penetration capability of SORS to characterize significantly thicker (by at least a factor of 2) layers than possible with conventional Raman spectroscopy. Typical relative accuracies were between 5 and 10%. The incorporation of depth information into a SORS experiment as an additional dimension allows pure spectra of each individual layer to be resolved using three-dimensional multivariate techniques (parallel factor analysis, PARAFAC) to accuracies comparable with the results of a two-dimensional analysis.

摘要

我们通过实验证明了结合多元分析使用空间偏移拉曼光谱(SORS)监测浑浊介质中光学厚层深度的可行性。该方法利用SORS的深度穿透能力来表征比传统拉曼光谱所能表征的厚得多(至少2倍)的层。典型的相对精度在5%至10%之间。将深度信息作为一个附加维度纳入SORS实验中,使得可以使用三维多元技术(平行因子分析,PARAFAC)解析各层的纯光谱,其精度与二维分析结果相当。

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