EAGER: Portable photoacoustic platform for glucose sensing

提案：1445342PI: Mirov， sergey大学：阿拉巴马大学伯明翰分校标题：渴望：便携式光声平台葡萄糖传感PI建议开发和构建一个真正的无创，便携式手持，低成本设备的工作原型，用于家庭或诊所环境中的血糖水平监测。如果成功，该装置将大大改善数百万糖尿病患者的生活质量，消除刺穿手指带来的不适和疼痛，并减少因血糖水平管理不善而导致慢性糖尿病并发症的可能性。该设备还可用于临床和医院环境中的连续血糖水平监测。该平台还可用于开发其他应用，例如环境研究和工业环境中水溶液中感兴趣的化学物质的检测和监测。该装置将基于近红外（IR）光谱区域的波长调制（WM）光声（PA）光谱。它将包括一个便携式声学单元，由PI小组首创的便携式宽可调谐二极管泵浦Cr:ZnSe激光器，以及用于测量控制和数据分析的智能手机。这种新颖的波长调制技术本质上是一种零背景方法，它将大大提高当前光声方法用于血糖水平监测的灵敏度。由于吸水而没有强背景，不仅可以提高设备的灵敏度，而且可以消除在强背景下屏蔽的微弱葡萄糖吸收信号的提取需要执行艰巨的数据处理算法。这将使低计算能力的设备，如智能手机的使用成为可能。

Proposal: 1445342PI: Mirov, SergeyUniversity: University of Alabama at BirminghamTitle: EAGER: Portable photoacoustic platform for glucose sensingThe PI proposes to develop and build a working prototype of a true noninvasive, portable hand held, low cost device for blood glucose level monitoring in home or clinic settings. If successful, this device will substantially improve the quality of life of millions of people with diabetes by eliminating discomfort and pain associated with the necessity to puncture fingers, and reduce the probability of developing chronic diabetes complications due to poor management of blood glucose levels. The device could be also used for continuous blood glucose level monitoring in clinic and hospital settings. The proposed platform can also be used for development of other applications such as detection and monitoring of chemicals of interest in aqueous solutions for environmental studies, and in industrial settings.The device will be based on a wavelength modulation (WM) photoacoustic (PA) spectroscopy in the near-infra-red (IR) spectral region. It will consist of a portable acoustic cell, a portable broadly tunable diode pumped Cr:ZnSe laser, pioneered by the PI group, and a smartphone for measurements control and data analysis. This novel wavelength modulation technique is essentially a zero background method, which will substantially improve sensitivity of current photoacoustic methods for glucose level monitoring. The absence of a strong background due to water absorption will not only improve sensitivity of the device, but also eliminate the necessity to perform arduous data treatment algorithms for extracting weak glucose absorption signals masked under a strong background. This will enable the use of devices with low computational power, such as smartphones.