NONINVASIVE MEASUREMENT OF BLOOD ANALYTES

血液分析物的无创测量

• 批准号: 8170379
• 负责人: ISHAN BARMAN
• 金额: $ 2.85万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-06-01 至 2011-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8170379
• 关键词: Algorithms; Blood; Calibration; Computer Retrieval of Information on Scientific Projects Database; Detection; Development; Forearm; Funding; Glucose; Goals; Grant; Healthcare; Human; Individual; Institution; Intercellular Fluid; Measurement; Methods; Photobleaching; Photons; Physiological; Population; Procedures; Prospective Studies; Raman Spectrum Analysis; Randomized; Research; Research Personnel; Resources; Sampling; Source; Technology; Tissue Model; Tissues; United States National Institutes of Health; clinically relevant; diabetic patient; human subject; in vivo; migration; tissue phantom

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 by performing individual calibration. From these measurements we have identified the following sources of prediction error when a calibration algorithm is applied on a larger human population: (A) variability in sample turbidity, (B) presence of tissue autofluorescence and photobleaching and (C) physiological lag between blood and interstitial fluid (ISF) glucose. We have previously completed the development of a method (called turbidity corrected Raman spectroscopy, TCRS) for the correction of turbidity-induced distortions in Raman spectra utilizing the photon migration approach. We have demonstrated that, upon application of TCRS, the widely varying Raman spectra observed from a set of tissue phantoms having the same concentration of Raman scatterers but different turbidities tend to show near perfect coalescence onto a single spectral profile. Furthermore, in a prospective study that employs physical tissue models with varying turbidities and randomized concentrations of Raman scatterers and interfering agents, a 20% reduction in prediction error is obtained by applying the turbidity correction procedure to the acquired Raman spectra.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 该项目的目的是使用近红外拉曼光谱法测量人类受试者的血液组织基质中临床相关的分析物。这样的技术可能会对整个人群的医疗保健实践产生重大影响，而较短的一项研究针对糖尿病患者的葡萄糖测量。最近，我们通过执行单个校准来证明，通过对前臂的经皮测量值对葡萄糖浓度的可行性。从这些测量值中，我们确定了在较大的人群上应用校准算法时的以下预测误差来源：（a）样品浊度的变化，（b）组织自动荧光和光漂白以及（c）血液和室间液体（ISF）葡萄糖之间的生理滞后。我们先前已经完成了一种使用光子迁移方法的拉曼光谱中浊度引起的扭曲造成的扭曲的方法（称为浊度校正的拉曼光谱，TCRS）。我们已经证明，在应用TCR后，从具有相同浓度的拉曼散射体的一组组织幻象观察到的较大的拉曼光谱，但不同的浊度往往显示在单个光谱曲线上几乎完美地结合。此外，在一项前瞻性研究中，该研究采用了具有不同浊度和随机浓度的拉曼散射器和干扰剂的物理组织模型，通过将浊度校正程序应用于获得的拉曼光谱，可获得预测误差的20％。