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.

该子项目是利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 该项目的目标是使用近红外拉曼光谱法测量人类受试者血液组织基质中的临床相关分析物。这种技术可能对整个人群的医疗保健实践产生巨大影响，短期研究针对糖尿病患者的葡萄糖测量。最近，我们已经证明了检测的可行性葡萄糖浓度在体内从经皮测量的前臂进行个人校准。从这些测量中，我们已经确定了当校准算法应用于较大人群时的以下预测误差来源：（A）样品浊度的变化，（B）组织自发荧光和光漂白的存在，以及（C）血液和间质液（ISF）葡萄糖之间的生理滞后。我们以前已经完成了一种方法（称为浊度校正拉曼光谱，TCRS）的发展，用于校正浊度引起的失真，在拉曼光谱利用光子迁移的方法。我们已经证明，在应用TCRS时，从具有相同浓度的拉曼散射体但不同浊度的一组组织幻影中观察到的广泛变化的拉曼光谱倾向于显示出接近完美的合并到单个光谱轮廓上。此外，在采用具有不同浊度和随机浓度的拉曼散射体和干扰剂的物理组织模型的前瞻性研究中，通过将浊度校正程序应用于所获取的拉曼光谱，获得了20%的预测误差减少。