MEASUREMENT OF ANALYTES IN WHOLE BLOOD AND SERUM

全血和血清中分析物的测量

• 批准号: 7357945
• 负责人: KATE L BECHTEL
• 金额: $ 2.03万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-01 至 2007-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7357945
• 关键词: blood; dogs; measurement; serum

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. Bayer Healthcare has completed adaptation of the duplicate of our Raman system that we constructed for them. The adaptation made it more suitable for use in their dog testing facility. Using this system, studies of Raman non-invasive glucose measurements using a clamp protocol on anesthetized dogs has been initiated. Spectroscopy Lab personnel have analyzed the data from two of these studies. Cross validated calibrations developed from this data have provided what we believe are promising results. In a seven level clamp study with the first sample removed as an outlier, the calibration has an average error (SEV) of 18 mg/dL, a Mean Absolute Error of 8.5% and an R2 of 0.96. In addition, data from the dog studies exhibited many of the same characteristics and issues that we have seen with our human testing. We expect that targeted experiments using this dog testing capability will be an important resource for us in our effort to understand the causes of these performance issues.

本子项目是利用由NIH/NCRR资助的中心赠款提供的资源的众多研究子项目之一。子项目和研究者（PI）可能已经从另一个NIH来源获得了主要资金，因此可以在其他CRISP条目中表示。列出的机构是中心的，不一定是研究者的机构。拜耳医疗保健已经完成了我们为他们构建的拉曼系统副本的适应。这种适应性使它更适合在他们的狗测试设施中使用。使用该系统，对麻醉犬进行拉曼无创血糖测量的研究已经开始。光谱学实验室的工作人员分析了其中两项研究的数据。从这些数据中开发的交叉验证校准提供了我们认为有希望的结果。在除去第一个样本作为异常值的七水平钳研究中，校准的平均误差（SEV）为18 mg/dL，平均绝对误差为8.5%，R2为0.96。此外，来自狗的研究数据显示出许多与我们在人类测试中看到的相同的特征和问题。我们期望使用这种狗测试能力的有针对性的实验将成为我们努力理解这些性能问题的原因的重要资源。