Spectroscopic Analyzer Wavelength Selection for Drug Verification
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Solution Overview
Problem
Spectroscopic analyzers, such as spectrophotometers, often provide inaccurate analysis when discriminating between different substances, making it difficult to verify or identify drugs and other substances accurately.
Innovation Solution
The use of a spectroscopic analyzer that employs a plurality of electromagnetic radiation beams with different wavelengths, specifically within the 1300nm to 2000nm range, to capture spectral characteristics of a liquid sample, combined with a processor that removes dark current components and uses reference information to identify or verify the drug sample.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional spectroscopic analysis methods are used, then the analysis process is simple, but the measurement precision and reliability of substance discrimination are poor
Solution Approach 1:
The spectrum range (1300nm-2000nm) is segmented into multiple discrete wavelength regions, with specific wavelengths selected to target different spectral characteristics of the liquid spectrum. This segmentation allows focused measurement at critical wavelengths rather than continuous spectrum analysis, improving discrimination accuracy while managing system complexity.
Solution Approach 2:
The invention changes the measurement parameter from broad spectrum analysis to specific wavelength selection within the 1300nm-2000nm range. By selecting wavelengths that correspond to specific spectral characteristics (peaks, troughs, inflections), the system achieves better substance discrimination through parameter optimization rather than increased complexity.
2Reliability
If multiple wavelengths are used to capture spectral characteristics, then the drug identification accuracy is improved, but the device complexity and cost increase
Solution Approach 1:
The invention adds the wavelength dimension within the 1300nm-2000nm range, selecting specific wavelengths that correspond to different spectral characteristics. This dimensional approach allows capturing multiple spectral features (peaks, troughs, inflections) simultaneously, improving drug verification reliability without requiring complex multi-dimensional analysis systems.
Solution Approach 2:
The processor acts as an intermediary that receives signals from multiple wavelength detectors and processes them to identify spectral characteristics. By using the processor to analyze and correlate signals from selected wavelengths, the system achieves reliable drug verification while managing the complexity of multi-wavelength measurement through centralized signal processing.
3Measurement precision
If the spectrum range 1300nm-2000nm is used to capture spectral characteristics, then the analysis accuracy is improved, but the loss of information from other spectral regions occurs
Solution Approach 1:
The invention applies local quality by focusing measurement resources on the specific 1300nm-2000nm wavelength range where liquid spectral characteristics are most pronounced. Rather than uniformly analyzing the entire spectrum, the system concentrates measurement precision on this critical region, capturing essential spectral information (peaks, troughs, inflections) while accepting limited information from other regions.
Solution Approach 2:
The system performs partial action by measuring only specific wavelengths within the 1300nm-2000nm range rather than the complete spectrum. This partial measurement approach is sufficient to capture the essential spectral characteristics needed for liquid identification, achieving adequate information acquisition without the complexity of full-spectrum analysis.
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 drug identification and verification by utilizing multiple wavelengths to capture specific spectral characteristics, reducing errors and improving the reliability of the analysis process.
Implementation Method 1
by directing incident radiation towards a sample, and analysing the spectral nature of the affected radiation
Implementation Method 2
a modulator is used for modulating the electromagnetic radiation beam(s) emitted at the sample resulting in detected affected radiation detected by the sample detector that is modulated
Implementation Method 3
the processor removes the dark current component by multiplying the output representing the detected affected modulated electromagnetic radiation by sine and cosine functions and integrating over the period of modulation oscillation
Data Source
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AI summary
An analyser (10) for identifying or verifying or otherwise characterising a liquid based drug sample (16) comprising: an electromagnetic radiation source (11) for emitting electromagnetic radiation (14a) in at least one beam at a sample (16), the electromagnetic radiation comprising at least two different wavelengths, a sample detector (17) that detects affected electromagnetic radiation resulting from the emitted electromagnetic radiation affected by the sample, and a processor (18) for identifying or verifying the sample from the detected affected electromagnetic radiation, wherein each wavelength or at least two of the wavelengths is between substantially 1300nm and 2000nm, and each wavelength or at least two of the wavelengths is in the vicinity of the wavelength(s) of (or within a region spanning) a spectral characteristic in the liquid spectrum between substantially 1300nm and 2000nm.