Photoacoustic Glucose Sensing with Three-Wavelength Spectroscopy
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Solution Overview
Problem
Current glucose monitoring methods are invasive, painful, and costly, and non-invasive methods struggle to accurately measure blood glucose levels due to interference from other tissue signals and lack of depth discrimination on arteries or veins.
Innovation Solution
Utilizing photoacoustic ratiometric glucose (PARG) sensing with three different wavelengths to determine blood glucose concentration through photoacoustic spectroscopy, enabling calibration-free, continuous, and non-invasive measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If non-invasive optical sensing methods are used to measure glucose, then patient comfort and cost are improved, but measurement precision deteriorates due to interference from other tissue signals and lack of depth discrimination
Solution Approach 1:
The patent segments the tissue into different depth layers and isolates the arterial or venous blood compartment from surrounding tissue. By focusing the optical measurement on a specific vascular compartment at a defined depth, the system separates the glucose signal from interfering signals originating in other tissue layers, thereby improving measurement precision while maintaining non-invasive operation.
Solution Approach 2:
The patent applies local quality by targeting a specific spatial location (artery or vein) within the tissue rather than measuring from the bulk tissue. The optical system is configured to probe a localized vascular compartment where blood glucose concentration can be accurately determined, allowing precise measurement in a specific region while ignoring surrounding tissue interference.
2Device complexity
If single-wavelength optical sensing is used, then device complexity is reduced, but measurement precision deteriorates due to interference from physiological variations
Solution Approach 1:
The patent changes the optical parameter by using multiple wavelengths instead of a single wavelength. The system transmits light at different wavelengths through the tissue and analyzes the spectral characteristics to determine glucose concentration. This multi-wavelength approach enables differentiation of glucose signals from other physiological variations, improving measurement precision while the processing algorithms manage the increased data complexity.
Solution Approach 2:
The patent introduces an intermediary approach by using multiple wavelengths as mediators to probe tissue properties. Different wavelengths interact differently with various tissue components, and by analyzing the pattern of interactions across multiple wavelengths, the system can isolate the glucose-specific signal from confounding physiological variations, thereby improving accuracy.
3Measurement precision
If calibration-based methods are used for glucose sensing, then measurement precision is improved, but ease of operation deteriorates due to frequent calibration requirements
Solution Approach 1:
The patent implements self-service by enabling the glucose sensing system to automatically determine glucose concentration without requiring external calibration references. The multi-wavelength optical system inherently provides sufficient information to calculate glucose levels directly from the spectral data, allowing the device to self-calibrate and operate autonomously, thereby improving ease of operation while maintaining measurement precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides instantaneous and accurate blood glucose measurements from a wearable device, overcoming interference from physiological variations and eliminating the need for frequent calibration.
Implementation Method 1
at least one transmitter configured to transmit, into living tissue, a first signal with a first wavelength, a second signal with a second wavelength, and a third signal with a third wavelength to produce an acoustic response from the living tissue
Data Source
AI summary
Disclosed are systems and techniques for glucose sensing. For example, an example of a process can include transmitting, by at least one transmitter into living tissue, a first signal with a first wavelength, a second signal with a second wavelength, and a third signal with a third wavelength to produce an acoustic response from the living tissue. The first wavelength has a first correlation with the blood glucose concentration, the second wavelength has a second correlation with the blood glucose concentration, and the third wavelength has a third correlation with the blood glucose concentration. The process can include receiving, by at least one receiver, a response signal of the acoustic response. The process can include determining, by at least one processor, the blood glucose concentration based on a photoacoustic spectrum of the response signal.