NONINVASIVE MEASUREMENT OF BLOOD ANALYTES

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 该项目的目标是使用近红外拉曼光谱测量受试者血液组织基质中与临床相关的分析物。这种技术可能会对整个人群的医疗保健实践产生重大影响，短期研究将针对糖尿病患者的血糖测量。我们最近证明了通过前臂的经皮测量来检测体内葡萄糖浓度的可行性。从这些测量中，我们发现一个重要的误差来源是样品浊度的可变性。因此，我们发展了一种利用光子迁移方法来校正由浑浊引起的拉曼光谱失真的方法。我们目前正在进行体外研究，以证明这种方法在改善前瞻性预测方面的有效性。随后将进行体内研究，以证明血液分析物检测具有临床准确性的可行性。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The goal of this project is the measurement of clinically-relevant analytes in the blood tissue matrix of human subjects using near-infrared Raman spectroscopy. Such a technology could have great impact on the healthcare practices for the entire population, with the shorter term research directed towards glucose measurements for diabetic patients. We have recently demonstrated detection feasibility of glucose concentrations in vivo from transcutaneous measurements of the forearm. From these measurements we discovered that one important source of error is variability in sample turbidity. As a result, we have developed a method for the correction of turbidity-induced distortions in Raman spectra utilizing the photon migration approach. We are currently performing in vitro studies to demonstrate the effectiveness of this method in improving prospective prediction. This will be followed by in vivo studies to demonstrate the feasibility of the detection of blood analytes with clinical accuracy.