Mid-infrared Laser Blood Glucose Monitor

描述(由申请人提供)：拟议的STTR第一阶段计划将开发一种新的非侵入性血糖监测仪。使用传统光谱仪和热光源的非侵入性血糖监测仪存在信噪比不足的问题，无法稳定地预测血糖浓度。所提出的基于激光的系统具有更高的血糖信噪比，因此具有更高的灵敏度和特异度。这些反过来将为生理和表型变量提供更好的解释。与其他方法相比，建议的技术具有显著的优势，即基于一种固有的可小型化、高能效和机械稳定的技术，这将允许开发紧凑型健壮系统。在该计划的第二阶段，将构建非侵入性监护仪的临床原型，并在人体上进行测试。 与公共卫生相关：糖尿病是世界发达国家和发展中国家的一个巨大且日益严重的问题。根据美国疾病控制和预防中心(CDC)2007年收集的统计数据，美国共有2360万人患有糖尿病，占总人口的7.8%。据估计，只有1790万人被诊断患有糖尿病，而570万人仍然没有得到诊断，主要是因为缺乏简单的诊断技术。本方案的目标是开发一种适用于临床环境的紧凑型非侵入性血糖监测仪。这项拟议中的技术的效用超出了拟议中的糖尿病护理应用。它在检测胆固醇、监测透析过程中的尿素以及在健康和疾病方面的许多其他应用方面具有潜力。

DESCRIPTION (provided by applicant): The proposed STTR Phase I program will develop a novel non-invasive blood glucose monitor. Non-invasive blood glucose monitors that utilize conventional spectrometers and thermal light sources suffer from insufficient signal-to-noise ratio for the stable prediction of glucose concentration. The proposed laser-based system exhibits superior signal-to-noise measurements of glucose, and therefore better sensitivity and specificity. These in turn will provide a better account for physiological and phenotypic variables. The proposed technology has the significant advantage over other approaches of being based upon an inherently miniaturizable, power-efficient, and mechanically stable technology that will permit the development of a compact robust system. During Phase II of this program, the clinical prototypes of non-invasive monitor will be constructed and tested in-vivo on human subjects. PUBLIC HEALTH RELEVANCE: Diabetes mellitus is a large and growing problem throughout the world's developed and developing nations. According to the statistical data collected by the Centers for Disease Control and Prevention (CDC) in 2007, a total of 23.6 million people in USA or 7.8 percent of the population have diabetes. It is estimated that only 17.9 million people are diagnosed with diabetes mellitus while 5.7 million people remain undiagnosed mostly due to the lack of easy diagnostic techniques. The goal in this proposal is to develop a compact non-invasive blood glucose monitor for clinical environment. The utility of the proposed technology goes beyond the proposed application in diabetes care. It has potential in the detection of cholesterol, monitoring urea during dialysis, and many other applications in health and disease.