Spectroscopy Calibration via Sub-Optical Deconvolution
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Solution Overview
Problem
High-resolution spectroscopy techniques, such as LIBS, face challenges in identifying and quantifying chemical elements due to optical resolution limits and spectral line broadening, leading to convoluted and overlapping spectral information that hinders deterministic identification and requires human expertise.
Innovation Solution
A calibration method that deconvolutes spectral lines below optical resolution using sub-optical spectral information, allowing for accurate determination of spectral line positions and wavelengths, enabling deterministic identification and classification of chemical elements and molecules through supervised sub-optical deconvolution and calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution spectroscopy techniques are used to obtain electromagnetic spectra, then spectral resolution is improved, but spectral line broadening and overlapping increase due to quantum, Doppler and collisional effects
Solution Approach 1:
The patent replaces traditional pixel-based spectral analysis with a physics-based model substitution approach. Instead of relying on direct pixel mapping, the invention uses theoretical spectral line models (incorporating quantum, Doppler, and collisional broadening effects) to substitute for the limited resolution data, enabling deterministic identification despite spectral overlapping
Solution Approach 2:
The invention changes the fundamental parameter from pixel intensity values to physical spectral line parameters (wavelength, intensity, broadening coefficients). By fitting observed spectra to theoretical models with adjustable parameters, the system extracts meaningful chemical information even when spectral lines are convoluted beyond optical resolution limits
2Device complexity
If pixel-based methods are used for spectral analysis, then device complexity is reduced, but identification reliability decreases due to probabilistic rather than deterministic identification
Solution Approach 1:
The patent substitutes simple pixel-counting algorithms with physics-based spectral modeling. The theoretical spectral line models incorporate fundamental physical effects (quantum transitions, Doppler broadening, collisional broadening) to provide deterministic identification, replacing the probabilistic nature of pixel-based methods while maintaining computational feasibility
3Productivity
If spectral information is obtained from multiple spectroscopy devices, then measurement coverage is improved, but data comparability deteriorates due to device-specific calibration variations
Solution Approach 1:
The patent creates a universal spectral analysis framework based on fundamental physics that is device-independent. By using theoretical spectral line models that rely on universal physical constants and laws, the system ensures that spectral data from multiple different spectroscopy devices can be directly compared and integrated without device-specific calibration corrections
Solution Approach 2:
The invention transforms device-specific pixel coordinates into universal physical parameters (wavelength, intensity, broadening coefficients). This parameter transformation enables spectral data from different devices to be expressed in a common physical framework, ensuring comparability across the measurement network
Data Source
AI summary
The present invention is enclosed in the area of calibration of spectral information/spectroscopy devices, such as the calibration of spectral information which consist of high-resolution electromagnetic spectra, as Laser-induced Breakdown Spectroscopy (LIBS). It is an object of the present invention a calibration method of a spectroscopy device comprising a plurality of sensors and a method for transferring spectral information obtained from a first and a second spectroscopy devices. The method of the present invention provides the access to accurately defined spectral lines from the electromagnetic spectrum, as well as to obtain electromagnetic spectra in two different sites, with two different spectroscopy devices and physical samples still provide for the reliable comparison between the electromagnetic spectra obtained in each of such spectroscopy devices.