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Characterization of skin tissue heterogeneity with near-infrared microspectroscopy and its effects on noninvasive measurements of glucose.

机译：用近红外显微术表征皮肤组织异质性及其对葡萄糖非侵入性测量的影响。

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摘要

The ability to measure glucose transcutaneously and noninvasively is an exciting prospect. Such a procedure will offer a painless way of glucose self-monitoring improving the lives of people with diabetes by lowering the barriers to optimal glycemic control. Noninvasive measurements involve collecting near-infrared spectra (4000-5000 cm-1; 2.0 -2.5 mum) of skin with two optical fibers in a transmission geometry. Previous results indicate that repositioning of the fiber optic interface adversely affects both precision and accuracy of such measurements. Slight movements of the interface increase prediction errors more than 2.5-fold relative to measurements with a stationary rat model.;In this dissertation, the chemical heterogeneity of skin tissue is explored as a possible cause for the sensitivity of the measurement to the position of the optical interface. Rat and human skin tissues are mapped by using combination near infrared spectra to provide distributions of the major components of skin: water, collagen type I protein, fat, keratin protein, and two scattering terms of constant and slope.;On the basis of the measured heterogeneity, sets of rat and human skin spectra are simulated to investigate the impact of repositioning the fiber-optic interface. Glucose predictions are analyzed for each location of the interface for a series of partial least squares (PLS) calibration vectors established for different locations on the skin. Significant increases in measurement errors are observed for the situation where the PLS calibration models are generated from spectra associated with one location of the interface while subsequent measurements are performed at different locations on the skin matrix. These increases in prediction errors match the 2.5-fold increase observed in vivo..;The impact of replacing the spectrum of bovine fat with spectra of native fat for both rat and human skin samples is established. Principal component analysis (PCA) of the spectral residuals reveals that the magnitude of the spectral residuals and the effects of tissue fat content on the quality of the linear regression were decreased.;The key implication of the research detailed in this dissertation is that chemical heterogeneity of skin tissue must be considered in multivariate models intended for noninvasive glucose measurements.
机译：透皮和无创测量葡萄糖的能力是令人兴奋的前景。这样的程序将通过降低最佳血糖控制的障碍，提供一种无痛的葡萄糖自我监测方法，从而改善糖尿病患者的生活。非侵入性测量涉及通过传输几何结构中的两条光纤收集皮肤的近红外光谱（4000-5000 cm-1； 2.0 -2.5微米）。先前的结果表明，重新定位光纤接口会不利地影响此类测量的精度和准确性。相对于固定大鼠模型的测量，界面的轻微移动使预测误差增加了2.5倍以上；本论文探讨了皮肤组织的化学异质性，这可能是导致测量对位置敏感的原因。光学接口。通过使用近红外光谱组合绘制大鼠和人类皮肤组织的图，以提供皮肤主要成分的分布：水，I型胶原蛋白，脂肪，角蛋白和两个常数和斜率的散射项。测量异质性，模拟大鼠和人类皮肤光谱集，以研究重新定位光纤界面的影响。针对针对皮肤上不同位置而建立的一系列偏最小二乘（PLS）校准矢量，分析了界面每个位置的葡萄糖预测。对于从与界面的一个位置相关联的光谱生成PLS校准模型而在皮肤基质上的不同位置执行后续测量的情况，可以观察到测量误差的显着增加。这些预测误差的增加与体内观察到的2.5倍增加相匹配。建立了用天然脂肪光谱代替牛脂肪光谱对大鼠和人类皮肤样品的影响。光谱残差的主成分分析（PCA）表明，光谱残差的幅度和组织脂肪含量对线性回归质量的影响均降低了;本论文详细研究的关键意义在于化学异质性在用于无创血糖测量的多变量模型中必须考虑皮肤组织的数量。

著录项

  • 作者

    Alexeeva, Natalia Victorovna.;

  • 作者单位

    The University of Iowa.;

  • 授予单位 The University of Iowa.;
  • 学科 Analytical chemistry.;Statistics.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 312 p.
  • 总页数 312
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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