Reference Wavelength Spectral Analysis for Non-Invasive Glucose Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Near-infrared spectroscopy for non-invasive sensing, such as blood glucose monitoring, faces challenges due to overlapping absorption spectra, complex background noises, and poor specificity, making it difficult to accurately detect weak glucose signals amidst interference from other physiological components.
Innovation Solution
A method utilizing a reference wavelength is introduced, where a wavelength insensitive to target component concentration changes is determined, allowing for the isolation of interference factors and enhancement of signal specificity by using differential spectral processing and mathematical calibration models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If near-infrared spectroscopy is used for non-invasive sensing, then the penetrability of light through body fluid and soft tissue is improved, but the detection precision deteriorates due to overlapping absorption spectra and background noises
Solution Approach 1:
The patent segments the near-infrared spectrum into multiple specific wavelength points (e.g., 9 wavelengths for glucose detection) rather than using the entire spectrum. This segmentation allows selective measurement at wavelengths where the target component has characteristic absorption while minimizing interference from overlapping spectra and background noises from water, protein, and fat.
Solution Approach 2:
The patent introduces reference wavelengths as intermediary measurement points that do not correspond to the target component's absorption peaks. These reference wavelengths serve as mediators to measure and compensate for background noises and interferences from other physiological components, allowing the target component's signal to be isolated through differential calculation.
2Adaptability or versatility
If multivariable analysis is used for qualitative detecting of material compositions, then the analysis capability is improved, but the device complexity and measurement difficulty increase
Solution Approach 1:
The patent extracts only the essential wavelength points needed for target component detection from the entire near-infrared spectrum. Instead of using complex multivariable analysis of the full spectrum, it selects specific wavelengths (including reference wavelengths) that contain the necessary information, thereby simplifying the measurement system while maintaining detection capability.
Solution Approach 2:
The patent changes the measurement parameters from continuous spectrum analysis to discrete wavelength point measurements. By selecting specific wavelengths and their corresponding absorbance values as measurement parameters, the system simplifies the data processing requirements and reduces device complexity while preserving the ability to detect target component concentrations.
3Loss of information
If the full near-infrared spectrum is analyzed, then the information completeness is improved, but the signal specificity deteriorates due to overlapping absorption from multiple components
Solution Approach 1:
The patent segments the spectrum into specific wavelength points, including both target-component-specific wavelengths and reference wavelengths. This segmentation maintains information completeness by selecting wavelengths that collectively provide sufficient information about the target component while excluding wavelengths dominated by interfering substances.
Solution Approach 2:
Reference wavelengths act as intermediaries that provide information about background absorption from water, protein, and fat without being influenced by the target component. This allows the system to maintain information completeness while achieving signal specificity through differential measurement between target wavelengths and reference wavelengths.
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
This approach improves measurement accuracy and sensitivity by isolating the target component's signal from interference, effectively addressing the challenges of overlapping spectra and background noise in non-invasive sensing.
Implementation Method 1
The near-infrared spectrum (with a wavelength ranging from 780 to 2500 nm) is caused by a double-frequency or combined-frequency absorption of vibration at a fundamental-frequency in the mid-infrared region of different compounds which contain chemical bonds such as C—H, O—H or N—H
Implementation Method 2
The characteristics of the near-infrared spectra will change with the concentrations of organic compounds containing the chemical bond —H or its relative combined inorganic compounds. Thus, the concentration variation of the target component could be analyzed based on the spectrum feature
Data Source
AI summary
A method of detecting a concentration of a target component by using a reference wavelength includes: defining a wavelength at which a light intensity is insensitive to the variation of the target component concentration as a reference wavelength for the target component; detecting spectra at both the reference wavelength and a further measuring wavelength; processing the spectrum detected at the further measuring wavelength, with the spectrum detected at the reference wavelength as an inner reference, to obtain a characteristic spectrum including specific information of the target component; building a calibration model between the characteristic spectrum and the concentration of the target component; and determining the concentration of the target component based on the calibration model.