Near-Infrared Spectroscopy Quantification Method
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Solution Overview
Problem
Existing methods for quantifying substances in delivery systems using infrared spectroscopy lack sufficient accuracy, particularly when interferent compounds like flavorings and acids are present, leading to unreliable detection of target substances.
Innovation Solution
The method involves obtaining near-infrared spectroscopy data in two separated wavelength ranges and using chemometric models, such as partial least squares or neural networks, to estimate the amount of substances in samples, improving the resolution and specificity of detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional single wavelength range infrared spectroscopy is used, then the measurement process is simple, but the accuracy of substance quantification is insufficient due to interferent compounds
Solution Approach 1:
The patent divides the infrared spectroscopy measurement into two separate wavelength ranges: a first wavelength range (e.g., 600-1800 cm⁻¹) and a second wavelength range (e.g., 1800-4000 cm⁻¹). Each range is measured independently and then combined, allowing the system to capture both broad spectral features and fine spectral details that are otherwise obscured when measuring the full range in a single step.
2Measurement precision
If high resolution spectroscopy data is collected across the full wavelength range, then detection specificity improves, but the measurement time increases
Solution Approach 1:
The patent employs periodic action by sequentially measuring the two wavelength ranges in separate steps rather than attempting to measure the full range simultaneously. The first wavelength range is measured, then the second wavelength range is measured, and the results are combined. This periodic measurement approach reduces the time required for each individual measurement while still capturing the complete spectral information needed for high-specificity detection.
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 enhances the accuracy of substance quantification in delivery systems, effectively distinguishing target substances from interferents, thereby improving quality control and composition analysis.
Implementation Method 1
obtaining first near infra-red spectroscopy data for the sample of material in a first wavelength range; obtaining second near infra-red spectroscopy data for the sample of material in a second wavelength range
Data Source
AI summary
A method of quantifying an amount of a substance in a sample of material for a delivery system, the method comprising: obtaining first near infra-red spectroscopy data for the sample of material in a first wavelength range; obtaining second near infra-red spectroscopy data for the sample of material in a second wavelength range, wherein the second wavelength range is separated from the first wavelength range; and using the first and second near infra-red spectroscopy data to estimate an amount of the substance in the sample of material.