Line-scan Raman Imaging for Rapid Particulate Contamination Detection
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Solution Overview
Problem
Existing methods for detecting contamination in particulate food substances are slow and limited to small sample sizes, failing to efficiently test larger volumes while maintaining accuracy and consistency.
Innovation Solution
A line-scan Raman imaging method and apparatus that uses a high-power 785 nm line laser, a dichroic beamsplitter, and a spectrograph to generate spectral data for rapid analysis of larger samples, enabling quick detection of contaminants like melamine in powdered materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a point-source laser is used to test particulate materials for contaminants, then the detection accuracy is maintained, but the test speed is slow and the sample size is limited
Solution Approach 1:
The patent divides the sample analysis into multiple parallel measurement points across the sample surface. By using a line laser that scans across the sample and collecting Raman signals from multiple locations simultaneously, the system can process larger sample volumes faster without sacrificing detection accuracy at any specific point.
Solution Approach 2:
The patent transitions from point-by-point analysis to line-based scanning across the sample surface. This dimensional change from 0D (point) to 1D (line) scanning enables simultaneous analysis of multiple sample points, increasing both test speed and sample size capability while maintaining detection accuracy through spectral analysis.
2Loss of time
If traditional Raman spectroscopy is used, then detection accuracy is maintained, but test times take hours instead of minutes
Solution Approach 1:
The patent employs continuous scanning of the line laser across the sample surface while continuously collecting and processing Raman signals. This continuous measurement approach eliminates the need for repeated separate measurements, reducing total test time from hours to minutes while maintaining high productivity through uninterrupted data acquisition and analysis.
Solution Approach 2:
The patent replaces traditional mechanical point-by-point scanning methods with an optical line scanning system that uses a line laser and spectrograph to simultaneously capture spectral data across the sample. This substitution of mechanical scanning with optical scanning dramatically reduces measurement time while maintaining accuracy.
3Quantity of substance
If larger sample volumes are tested, then the comprehensiveness of contamination detection is improved, but the accuracy and consistency of results may be compromised
Solution Approach 1:
The patent applies local quality analysis by obtaining Raman spectra from multiple specific locations across the sample surface and analyzing each location's spectral characteristics. By examining the chemical composition at different points and comparing them against reference spectra, the system maintains high detection accuracy while comprehensively covering larger sample volumes through systematic spatial sampling.
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
The method significantly reduces test times from hours to minutes, allowing for the analysis of larger sample volumes with maintained accuracy and consistency, effectively identifying contaminants such as melamine in powdered food substances.
Implementation Method 1
The line-scan laser beam traverses the sample thereby causing the sample to emit a Raman light signal
Implementation Method 2
A spectrograph receives the light signal and disperses the light signal to generate spectral data
Data Source
AI summary
A line-scan laser is directed to a sample so that a Raman-shifted light signal is emitted from the sample. An imaging spectrograph and associated camera and processor acquires the Raman-shifted light signal and processes the signal to thereby identify the composition of the sample.