用于定量生物光谱分析的本征拉曼光谱法 第二部分：实验应用
Intrinsic Raman spectroscopy for quantitative biological spectroscopy part II: experimental applications.
作者信息
Bechtel Kate L, Shih Wei-Chuan, Feld Michael S
机构信息
GR Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Avenue,Cambridge, MA 02139, USA.
出版信息
Opt Express. 2008 Aug 18;16(17):12737-45. doi: 10.1364/oe.16.012737.
Abstract
We demonstrate the effectiveness of intrinsic Raman spectroscopy (IRS) at reducing errors caused by absorption and scattering. Physical tissue models, solutions of varying absorption and scattering coefficients with known concentrations of Raman scatterers, are studied. We show significant improvement in prediction error by implementing IRS to predict concentrations of Raman scatterers using both ordinary least squares regression (OLS) and partial least squares regression (PLS). In particular, we show that IRS provides a robust calibration model that does not increase in error when applied to samples with optical properties outside the range of calibration.
摘要
我们证明了本征拉曼光谱（IRS）在减少由吸收和散射引起的误差方面的有效性。我们研究了物理组织模型，即具有已知拉曼散射体浓度的不同吸收和散射系数的溶液。通过使用普通最小二乘法回归（OLS）和偏最小二乘法回归（PLS），利用IRS来预测拉曼散射体的浓度，我们展示了预测误差的显著改善。特别是，我们表明IRS提供了一个稳健的校准模型，当应用于具有超出校准范围光学特性的样品时，误差不会增加。
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