Spectroscopic Analyte Quantification with Background Interference Correction
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Solution Overview
Problem
Spectroscopic analyzers face challenges in accurately quantifying target analytes due to collisional broadening and structural interferences from complex background gas compositions, which conventional methods struggle to adequately address without requiring additional hardware or complex algorithms.
Innovation Solution
A method using multivariant analysis algorithms to model and correct for background interference by collecting calibration spectra, calculating concentrations, and applying a correlative model to correct target analyte concentrations in field samples, reducing hardware complexity and improving measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional spectroscopic analysis methods are used, then the analyzer structure remains simple, but measurement precision deteriorates due to background composition interference and collisional broadening effects
Solution Approach 1:
The patent applies preliminary action by pre-calculating collisional broadening correction factors for various background gas compositions during the calibration phase. These correction factors are stored and automatically applied during field measurements, eliminating the need for real-time complex calculations while maintaining high measurement precision across varying background conditions
Solution Approach 2:
The patent introduces an intermediary correction model that mediates between the raw spectroscopic measurements and the final concentration values. This correction model accounts for collisional broadening effects caused by background gases, effectively decoupling the target analyte measurement from background interference without requiring complex hardware modifications
2Measurement precision
If multi-variant analysis algorithms are used to correct background interference, then measurement precision improves, but device complexity increases due to additional hardware requirements
Solution Approach 1:
The patent extracts the collisional broadening correction functionality from the hardware domain and implements it purely in the software/algorithm domain. By separating the correction logic from physical hardware components, the system achieves high measurement precision without adding complex hardware, maintaining analyzer simplicity while correcting background interference effects
Solution Approach 2:
The patent changes the approach from hardware-based interference correction to parameter-based correction. By modeling collisional broadening as a function of background gas composition parameters and applying these parameters computationally, the system achieves accurate measurements without requiring additional hardware components
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
Enhances measurement accuracy and fidelity for trace analytes in complex backgrounds by effectively compensating for spectral interferences and collisional broadening, while minimizing hardware requirements.
Implementation Method 1
quantitative measurement of one or more target analytes using, for example, an absorption spectroscopic analyzer
Data Source
AI summary
A method of spectroscopic analysis includes: collecting a set of calibration spectra for calibration gas samples by scanning a sample range of wavelengths; calculating a first concentration of a target analyte and first concentrations of background components for each calibration spectrum using a multivariant algorithm; modeling an ideal concentration of the target analyte as a function of the first concentrations using a correlative model; collecting a field spectrum for an unknown field gas sample, wherein the field gas sample includes the target analyte and at least some of the background components; calculating a second concentration of the target analyte and second concentrations the background components for the field spectrum using the multivariant algorithm; correcting the second concentration of the target analyte using the correlative model and second concentrations of the background components; and determining a corrected target analyte concentration in the field gas sample based on the corrected second concentration.