Optical Analyte Testing Using Uneven Spectral Distribution
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Solution Overview
Problem
Existing optical testing technologies for analytes, such as blood glucose, are inaccurate due to interference from non-analytes, skin variations, and difficulty in separating spectral signals, leading to bulky and expensive systems that are difficult to industrialize for real-time, portable testing.
Innovation Solution
A method and system that utilizes infrared and ultraviolet light to collect spectral data with uneven distribution, using a trained analyte testing model to accurately determine analyte levels by distinguishing between testing and reference points, enabling non-invasive and cost-effective real-time testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Raman spectroscopy is used to measure blood glucose concentration, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent replaces the complex Raman spectroscopy system with an optical detection system using light sources and spectral analysis. This substitution maintains measurement precision while significantly reducing device complexity and cost, enabling portable real-time testing.
Solution Approach 2:
The patent changes the measurement parameters by using spectral data at specific wavelengths (such as 980nm and 1060nm) to differentiate analyte signals from non-analyte interference. This parameter optimization allows accurate measurement without requiring complex laboratory-grade equipment.
2Ease of operation
If absorption spectroscopy is used to collect spectral signals, then non-invasive testing is achieved, but measurement precision deteriorates due to signal mixing
Solution Approach 1:
The patent segments the spectral data by analyzing specific wavelength regions and their characteristics. By dividing the spectral analysis into distinct wavelength bands and using partial least squares regression, the system can separate analyte signals from non-analyte interference while maintaining non-invasive testing.
Solution Approach 2:
The patent introduces a reference sample with known analyte concentration as an intermediary. This reference sample helps calibrate the system and distinguish between analyte-specific spectral features and non-analyte interference, improving measurement precision without compromising non-invasive operation.
3Measurement precision
If multiple biological signals are collected from different body parts, then measurement precision may be improved, but device complexity and cost increase
Solution Approach 1:
The patent makes the single optical detection device universal by enabling it to measure analyte concentration at different body locations using the same hardware configuration. The system adapts to different measurement sites through software-based spectral analysis rather than requiring multiple specialized sensors, thus reducing device complexity 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
The method provides accurate analyte concentration measurements by excluding non-analyte interference, allowing for miniaturized, portable, and real-time testing without the need for electrochemical reactions.
Implementation Method 1
Absorption spectroscopy is used in the document. Spectral signals collected and analyzed include not only a spectral signal of blood glucose
Implementation Method 2
the light in the second wavelength range can cause the analyte to excite a fluorescence radiation signal
Data Source
AI summary
The present invention provides a method and a system for managing an analyte level, a method and a system for testing an analyte, a medium, and a device, which relate to the field of optical analysis. The method includes: data collecting step: collecting in real time spectral data that indicate uneven distribution in an imaging area of a reflection signal or an excitation signal generated by an analyte when irradiated by light; model analyzing step: inputting the collected spectral data into an analyte testing model to obtain an analyte level in the imaging area, where the analyte level includes information about the analyte correlated to the spectral data; and prompting step: displaying prompting information when the analyte level is beyond a preset range.


