Abstract
We present an approach for accurate glucose sensing in turbid media using a spectrally resolved reflectance setup. Our proposed reflectance setup uses specialized source-detector separations (SDSs) to enable an effective separation of diffusion and absorption signals. Additionally, we adjust the selected SDSs to their optimal values to acquire maximum sensitivity to glucose in the two signals. The separation can help to enhance the sensitivity to glucose both for the diffusion and absorption signals, as they always suppress each other by causing opposite effects on the reflected diffuse light intensity. Monte Carlo simulations and experiments for glucose sensing are used to test the method. The acquired optimal SDSs could provide a reference for noninvasive blood glucose sensing.
Highlights
Near-infrared diffuse reflectance spectroscopy (NIR-DRS) has been considered a promising human blood glucose sensing method, as it can potentially provide noninvasive and convenient real-time measurements on human subjects
Just as previous studies have sought optimal optical path lengths (OPLs) to improve the sensitivity to absorption changes for transparent absorption media [1,2,3,4], we believe that optimal light source-detector separations (SDSs) exist to improve the sensing of scattering and absorption in turbid media
We present a comprehensive investigation of near-infrared (NIR) diffuse reflectance spectroscopy and the determination of optimal SDS values
Summary
Near-infrared diffuse reflectance spectroscopy (NIR-DRS) has been considered a promising human blood glucose sensing method, as it can potentially provide noninvasive and convenient real-time measurements on human subjects. We discuss how to adjust SDSs to obtain the best sensitivity for the measurement of scattering- and absorption-related signals. We propose an approach to effectively separate the two kinds of signals since their sensitivity to glucose change is different in measurements with selected SDSs; these measurements vary with SDSs in different ways. These separations can help to analyze the signals as well as their sensitivity to glucose; we realize these separations by using specialized multi-SDSs, in which the SDSs can be adjusted to their optimal values to obtain the best sensitivity for the signals
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