响应量转换近红外检测技术在强散射介质中的应用研究

在近红外光谱定量分析中，由于散射作用的存在使得光谱变化复杂，从而导致校正模型的预测精度较低。消除散射干扰是提高测量精度的有效处理手段之一。为了消除散射对测量结果的影响，文章提出了响应量转换法，即根据被测介质在空间不同位置的光强随被测物浓度的变化率，通过逆倍增模型推出被测介质的吸收系数作为新的响应变量，从而建立校正模型。以牛奶样品为例，分析了脂肪和蛋白质浓度与吸收系数之间的关系，利用蒙特卡罗模拟研究了散射对近红外牛奶成分测量结果的影响，并通过传统预处理方法和响应量转换法进行散射干扰的消除。实验结果表明，响应量转换法能够有效消除散射干扰，与传统MSC和SNV预处理方法相比，脂肪预测精度分别提高了33.9%和55.9%，蛋白质预测精度分别提高了46.5%和33.7%。

Research on the Application of Response Variable Transform Method in High Scattering Medium with Near-Infrared Spectroscopy

In the present paper,a new method named response variable transform(RVT) is proposed to reduce the effect of scattering in the NIR spectroscopy measurement.In the RVT method,the rates of the change in light intensity at different spatial positions with the concentration of the investigated composition are firstly sampled.Then,based on the sampled changing rates of light intensity,the absorption coefficients,which are used as new response variable,are calculated using the inverse adding-double(IAD) algorithm...