Spectroscopic approach for dynamic bioanalyte tracking with minimal concentration information

Area of Science:

• Biophotonics
• Analytical Chemistry
• Spectroscopy

Background:

• Non-invasive measurement of blood constituents is a significant challenge in biophotonics.
• Existing methods often require extensive a priori concentration information for accurate tracking.

Purpose of the Study:

• To develop a novel analytical framework for longitudinal tracking of chemical concentrations using spectroscopy.
• To enable spectroscopy-based monitoring without extensive prior concentration data.

Main Methods:

• Proposed a concentration space transformation using spectral information.
• Integrated spectral estimates with a system kinetic model for concentration profiling.
• Applied the framework to blood glucose monitoring using Raman spectroscopy.

Main Results:

• Demonstrated the efficacy of the novel approach compared to conventional calibration methods.
• Achieved a 35% reduction in error compared to partial least squares regression for blood glucose monitoring.
• Validated the approach on data from human subjects undergoing glucose tolerance tests.

Conclusions:

• The proposed framework enables accurate longitudinal tracking of chemical concentrations via spectroscopy.
• This method shows promise for screening gestational diabetes and continuous process monitoring.
• Offers a non-invasive, sample-sparing alternative for biochemical analysis.