Diffuse Spectrum Data Separation for Scattering Media Analysis
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Solution Overview
Problem
Spectroscopy technologies face challenges in accurately detecting components in scattering media due to interference from changes in optical parameters, particularly scattering characteristics, leading to low detection accuracy and non-portable models across different media types.
Innovation Solution
A method to process diffuse spectrum data to separate optical information caused by scattering and absorption effects, allowing for the establishment of prediction models and concentration predictions based on these separations, using specific radial positions and coefficients to isolate pure absorption and scattering signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If spectroscopy is used to detect components in scattering media, then detection can be performed on complex samples without pre-processing, but detection accuracy deteriorates due to interference from scattering effects
Solution Approach 1:
The patent segments the detected spectrum into multiple components: a first spectrum component corresponding to absorption effects, a second spectrum component corresponding to scattering effects, and a third spectrum component corresponding to other effects. By separating these components, the method isolates the absorption signal from scattering interference, enabling accurate component detection in scattering media while maintaining ease of operation on complex samples
Solution Approach 2:
The patent extracts the absorption spectrum component from the total detected spectrum by identifying and removing scattering spectrum components and other interference components. This extraction process isolates the pure absorption signal that contains information about the target component concentration, resolving the contradiction between operational convenience and measurement precision
2Device complexity
If Beer-Lambert Law is applied to scattering media with predominant absorption, then detection can be simplified, but detection accuracy deteriorates for weak components with small absorption
Solution Approach 1:
Instead of applying the simplified Beer-Lambert Law that assumes predominant absorption, the patent segments the spectrum to separately identify absorption components, scattering components, and other components. This segmentation allows accurate detection of weak components by isolating their absorption signals from scattering background, while maintaining reasonable method complexity through systematic spectral decomposition
Solution Approach 2:
The patent changes the approach from using concentration directly in Beer-Lambert Law to using spectral parameters (absorption spectrum components, scattering spectrum components) that are extracted through spectral decomposition. This parameter transformation enables accurate detection of weak components by capturing their spectral characteristics separately from scattering effects
3Measurement precision
If spectroscopy models are established for specific scattering media, then detection accuracy improves for that media type, but model portability deteriorates across different media types
Solution Approach 1:
The patent establishes a universal spectral decomposition method that can be applied to any scattering media type. By separating the spectrum into absorption components, scattering components, and other components through general physical principles rather than media-specific calibration, the method achieves both high detection accuracy for specific media and broad portability across different media types including milk, organic tissues, and other scattering samples
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 enables high prediction accuracy for component concentrations in scattering media, overcoming the limitations of low accuracy and non-portable models, and facilitates the detection of weak components, enhancing applications in food safety, environmental monitoring, and non-invasive tissue analysis.
Implementation Method 1
spectra detected from the scattering media include both effects of scattering and absorption
Implementation Method 2
spectra detected from the scattering media include both effects of scattering and absorption
Data Source
AI summary
A method of processing diffuse spectrum data may include: obtaining diffuse spectrum data of a medium to be detected at one or more first radial positions; and determining optical information caused by substantially only a variation in scattering characteristic of the medium to be detected and/or optical information caused by substantially only a variation in absorption characteristic of the medium to be detected at one or more second radial positions from the obtained diffuse spectrum data.