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Spectral pre-treatment for diffuse transmittance linearity improvement

机译:光谱预处理可改善漫透射率线性

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The linearity of diffuse transmittance spectra was considered on the basis of the Kubelka-Munk theory. The sub-linear dependence of -logT on the component concentration was determined and a linearisation method is suggested. The main point of linearisation is solving a cubic equation with absorbance to be linearised as an unknown variable and with the equation coefficients being power functions of the sample scattering capacity. The performance of the method is tested by employing the spectra of adsorbed water in the 1796-2004 nm range. The cellulose sheet was a matrix for adsorbed water molecules. Seventeen water content values from 0.6% to 22.7% (w/w) were prepared for calibration-prediction procedures. Raw spectra and linearised spectra were analysed by principal component analysis and partial least squares (PLS) regression. PLS cross-validation shows the 2.85-fold decrease of the prediction error after linearisation.
机译:基于Kubelka-Munk理论考虑了漫透射光谱的线性。确定了-logT对组分浓度的亚线性依赖性,并提出了线性化方法。线性化的要点是求解一个立方方程,该方程将吸光度线性化为一个未知变量,并且方程系数是样品散射容量的幂函数。该方法的性能通过使用1796-2004 nm范围内吸附水的光谱进行测试。纤维素片是吸附的水分子的基质。准备了从0.6%到22.7%(w / w)的17个水含量值用于校准预测程序。通过主成分分析和偏最小二乘(PLS)回归分析原始光谱和线性化光谱。 PLS交叉验证显示线性化后预测误差降低了2.85倍。

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