EAGER: Portable photoacoustic platform for glucose sensing

建议：1445342PI：Mirov，Sergey大学：阿拉巴马大学伯明翰分校标题：EIGER：便携式血糖检测光声平台PI建议开发和建造一种真正的非侵入性、便携式、低成本的家庭或诊所血糖水平监测设备的工作原型。如果成功，这种设备将通过消除与刺穿手指的必要性相关的不适和疼痛，极大地改善数百万糖尿病患者的生活质量，并降低由于血糖水平管理不善而发生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，如用于环境研究和工业环境研究的水溶液中感兴趣的化学物质的检测和监测。该设备将基于近红外(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，一个由PI集团首创的便携式宽调二极管泵浦的铬：锌硒激光器，以及一部用于测量控制和数据分析的智能手机。这种新的波长调制技术本质上是一种零本底方法，它将大大提高目前用于血糖水平监测的光声方法的灵敏度。由于水的吸收而没有强背景，不仅提高了装置的灵敏度，而且消除了在强背景下提取弱葡萄糖吸收信号的繁琐的数据处理算法的必要性。这将使计算能力较低的设备得以使用，如智能手机。

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.