摘要
糖尿病严重危害人类健康,无创血糖检测是医患双方的期望。人体生理背景成分复杂、易变,各种组织信息混杂,导致直接测量人体的近红外光谱很难真实反映血液中血糖浓度变化信息。提出血流容积差光谱相减法,即利用血流容积一直在变而人体组织背景和血液成分含量短时间不变的事实,通过相似背景扣除,有效消除人体组织背景干扰,获得反映血液成分信息的有效光谱信号。为验证方法的有效性,自行研制相关实验系统,获得系统噪声好于20μAU,并在波长1 250 nm处取得信噪比为20 000:1的有效光谱信号,阐明现有条件下血流容积差光谱相减法在近红外无创血糖检验临床应用的可行性和优势。
Diabetes seriously endanger human health, and noninvasive glucose sensing is the expectation of both doctors and patients. Physiological background is complicated, volatile and mixed with a variety of tissue information, resulting in direct measurement of the body＇s near infrared spectra difficult to truly reflect the concentration change in glucose. As a matter of fact, blood volume is always changing, but human tissue background and the concentration of blood components are constant in a short period. Taking advantage of this, subtracted blood volume spectrometry is propounded, which could eliminate the interference of human tissue background and obtain effective spectrum information of blood. To verify the effectiveness of the method, a experimental system was developed. The system noise is better than 20 μAU, and the signal to noise ratio of the effective spectrum signal at 1 250 nm is 20 000 ： 1. Finally, the feasibility and advantages of subtracted blood volume spectrometry are clarified in clinical application of near infrared non-invasive glucose sensing.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2010年第1期50-53,共4页
Spectroscopy and Spectral Analysis
基金
国家自然科学基金项目(60878052)
中国科学院知识创新工程领域前沿资助项目(O62Y32Q060)
中国科学院长春光学精密机械与物理研究所优秀博士论文基金项目(O7Y932Q070)资助
关键词
近红外光谱
无创血糖检测
血液
血流容积差光谱相减法
Near infrared spectroscopy
Noninvasive glucose measurement
Blood
Subtracted blood volume spectrometry
