用于血糖无创检测的喇曼光谱系统  

Raman Spectroscopy System for Non-invasive Blood Glucose Detection

作　　者：郑毅[1,2] 朱香平[1] 聂荣志[1,2,3] 高飞[1] 崔晓霞[1] 佘江波[1] 彭波[1] 

机构地区：[1]中国科学院西安光学精密机械研究所瞬态光学与光子学国家重点实验室,西安710119 [2]中国科学院大学,北京100049 [3]西安交通大学理学院,西安710049

出　　处：《光子学报》2017年第8期158-166,共9页Acta Photonica Sinica

基　　金：国家自然科学基金(No.61308086);陕西省自然科学基金(No.2016JQ6016)资助~~

摘　　要：以铊掺杂自聚焦透镜作为光谱采集透镜,设计了一种小型可穿戴式光谱采集探头,在此基础上搭建了一种小型可穿戴式血糖喇曼光谱检测系统.利用该系统对不同浓度的葡萄糖溶液、11只实验白鼠以及10位人体志愿者进行测试.以光谱特征峰面积作为主要计算参考,以峰强度作为辅助参考进行光谱定量分析.针对不同样本分别建立基于主导因子的非线性多变量偏最小二乘模型以计算葡萄糖水平.计算结果表明葡萄糖溶液、实验白鼠以及人体的准确度分别为98.1%、89.3%和84.4%,测试准确性得到提高.该检测系统具有体积小、成本低、喇曼信号采集稳定、使用方便等优点,能够准确实现人体血糖的无创检测并具有较好的可重复性.A miniature wearable Raman spectroscopy system used to achieve noninvasive detection of human blood glucose level was developed.A thallium-doped grin lens was employed as the collection lens and a specially designed wearable fiber optic probe was employed to help the stable and convenient collection of Raman spectrum.The glucose solution,11 rats and 10 healthy human were studied as subjects.In addition,a method of quantitative analysis of Raman spectrum was proposed which using the peak area as the main reference factor while the peak intensity as the auxiliary reference factor to calculate the target concentration.A non-linearized multivariate dominant factor-based partial least squares model was built for different samples to predict glucose level.The results show that the accuracy are 98.1%,89.3% and 84.4% for glucose solution,rats and human subjects.The system has the advantages of more compact structure,lower cost,better testing stability and convenient for human body to wear,and is feasible and repeatable to achieve the noninvasive detection of human blood glucose accurately.

关 键 词：喇曼光谱 光谱仪 无创检测 血液或组织成分监测 血糖 

分 类 号：O433.4[机械工程—光学工程]