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利用空间位移拉曼光谱估算混浊介质的散射系数。

Estimating the Reduced Scattering Coefficient of Turbid Media Using Spatially Offset Raman Spectroscopy.

机构信息

Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UK Research and Innovation, Harwell Campus, Didcot OX11 0QX, United Kingdom.

School of Physics and Astronomy, University of Exeter, Exeter EX4 4QL, United Kingdom.

出版信息

Anal Chem. 2021 Feb 23;93(7):3386-3392. doi: 10.1021/acs.analchem.0c04290. Epub 2021 Feb 11.

Abstract

We propose a new method for estimating the reduced scattering coefficient, μ', of turbid homogeneous samples using Spatially Offset Raman Spectroscopy (SORS). The concept is based around the variation of Raman signal with SORS spatial offset that is strongly μ'-dependent, as such, permitting the determination of μ'. The evaluation is carried out under the assumptions that absorption is negligible at the laser and Raman wavelengths and μ' is approximately the same for those two wavelengths. These conditions are often satisfied for samples analyzed in the NIR region of the spectrum where SORS is traditionally deployed. Through a calibration procedure on a PTFE model sample, it was possible to estimate the μ' coefficient of different turbid samples with an error (RMSEP) below 18%. The knowledge of μ' in the NIR range is highly valuable for facilitating accurate numerical simulations to optimize illumination and collection geometries in SORS, to derive in-depth information about the properties of SORS measurements or in other photon applications, dependent on photon propagation in turbid media with general impact across fields such as biomedical, pharmaceutical, security, forensic, and cultural sciences.

摘要

我们提出了一种使用空间偏移拉曼光谱(SORS)估计均匀混浊样品的散射系数μ'的新方法。该概念基于 SORS 空间偏移处的拉曼信号变化与μ'密切相关,因此可以确定μ'。评估是在假设激光和拉曼波长处的吸收可以忽略以及对于这两个波长μ'大致相同的条件下进行的。对于在 SORS 传统应用的光谱近红外区域分析的样品,这些条件通常得到满足。通过对 PTFE 模型样品进行校准程序,可以以低于 18%的误差(RMSEP)估计不同混浊样品的μ'系数。在近红外范围内对μ'的了解对于促进准确的数值模拟以优化 SORS 中的照明和收集几何形状非常有价值,以便从 SORS 测量的特性中得出深入的信息,或者在其他光子应用中,取决于光子在具有广泛影响的混浊介质中的传播,例如生物医学、制药、安全、法医和文化科学。

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