【24h】

Kromoscopic measurement of glucose in the first overtone region of the near infrared spectrum

机译:用荧光镜测量近红外光谱第一泛音区的葡萄糖。

获取原文
获取原文并翻译 | 示例

摘要

The ability of Kromoscopy to measure glucose selectively is demonstrated in solutions composed glucose, urea, triacetin, bovine serum albumin (BSA), cholesterol, and hemoglobin (Hb). Kromoscopic measurements are made with a four-channel instrument designed for measuring light between 1500 and 1900 nm. The channels are configured to respond to four individual bands of near infrared light centered at 1600, 1700, 1750, and 1800 nm. An equation is proposed that describes the relative response for each channel as a function of relevant experimental parameters. This equation predicts the linear response observed for these types of measurements as a function of solute concentration. In addition, molar absorptivities are provided for glucose, urea, triacetin, BSA, Hb, and water. The non-negligible absorptivity of water demands the consideration of water displacement caused by solute dissolution. Channel responses are measured for a series of thirty-one samples. The chemical composition of these samples is designed to minimize the correlations between glucose concentration and the concentrations of all other solutes. Likewise, these samples provide negligible correlation between the concentration of glucose and the extent of water displacement. A calibration model is constructed for glucose by using a conventional P-matrix multiple linear regression analysis of the four-channel information. The resulting model demonstrates selectivity for glucose with values of 1.27 and 1.34 mM for the standard errors of calibration and prediction, respectively, over a glucose concentration range of 1.9 to 19 mM.
机译:在包含葡萄糖,尿素,三醋精,牛血清白蛋白(BSA),胆固醇和血红蛋白(Hb)的溶液中证明了Kromoscopy有选择性地测量葡萄糖的能力。用设计用于测量1500至1900 nm之间的光的四通道仪器进行透视测量。通道配置为响应以1600、1700、1750和1800 nm为中心的四个单独的近红外光带。提出了一个方程,该方程描述了每个通道的相对响应与相关实验参数的关系。该方程式预测了在这些类型的测量中观察到的线性响应随溶质浓度的变化。此外,还提供了葡萄糖,尿素,三醋精,BSA,Hb和水的摩尔吸收率。水的吸收率不可忽略,需要考虑由溶质溶解引起的水置换。对一系列三十一个样本测量信道响应。这些样品的化学成分旨在最大程度地减少葡萄糖浓度与所有其他溶质浓度之间的相关性。同样,这些样品在葡萄糖浓度和水置换程度之间的相关关系可忽略不计。通过使用常规的四通道信息的P矩阵多元线性回归分析,为葡萄糖构建校准模型。所得模型表明,在1.9至19 mM的葡萄糖浓度范围内,对于校准和预测的标准误差,葡萄糖的选择性分别为1.27和1.34 mM。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号