尿微量白蛋白是临床上检测肾损伤最可靠的诊断指标。 为实现尿微量白蛋白快速无试剂检测， 本文采用多光程方式得到207例尿液样品可见-近红外双波段的多光程光谱， 基于多光程光谱的非线性特性， 获得更多样品成分含量的信息。 在首先进行PLS建模的基础上， 使用PLS-ANN建模方法引入非线性信息， 对样本的可见-近红外波段多光程光谱与尿微量白蛋白实际含量建立回归模型。 通过对比， 使用PLS-ANN建模方法可得到更好地建模预测效果， 提高定量分析精度， 预测决定系数达0.951 1， 预测标准误差为5.02 mg·L-1。 研究结果表明， 可以在不需加入试剂的前提下， 使用多光程可见-近红外光谱较准确预测尿液微量白蛋白的含量， 为实现无试剂的方便、 快捷检测尿液微量白蛋白含量以及其他成分含量奠定了基础。

The urinary albumin (UMALB) is the most reliable diagnostic indicator of renal injury in clinical. Attempting to realize the rapid and free reagent measurement of UMALB, the visible-near infrared multiple optical path length spectra of 207 urine samples were collected. By the nonlinear characteristics of multiple optical path length spectra, more information about the component of sample contents can be obtained. The PLS model of the spectra and UMALB was firstly established. Based on it, the PLS-ANN modeling method was built to introduce nonlinear information. By contrast, the PLS-ANN modeling method can obtain a better model to improve the accuracy of quantitative analysis. The R2 of predicted model was 0.951 1 and the RMSEP was 5.02 mg·L-1. The results showed the feasibility of the visible-near infrared multiple optical path length spectroscopy technique for urinary albumin analysis. This research establishes the foundation of detecting the urinary albumin and other components free of reagent conveniently and rapidly.