Multi-Channel Spectrometer for Non-Invasive Glucose Detection
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Solution Overview
Problem
Raman spectroscopy faces challenges in achieving a good signal-to-noise ratio for detecting analytes like glucose in biological samples due to weak spectral signals and interference from background noise, making it difficult to accurately quantify analytes non-invasively.
Innovation Solution
A multi-channel spectrometer device with a specific configuration of optical modulators and detectors is used to enhance the signal-to-noise ratio by transforming radiation signals according to distinct transfer functions, optimizing the number of modulators based on the reference spectrum of the analyte, allowing for precise detection and quantification of analytes like glucose in biological samples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If Raman spectroscopy is used to detect analytes in biological samples, then non-invasive measurement capability is achieved, but the signal-to-noise ratio deteriorates due to weak spectral signals and background interference
Solution Approach 1:
The patent segments the spectral detection into multiple channels, each optimized for specific wavelength ranges or spectral features. By dividing the broad spectral detection into targeted segments, the system enhances the signal-to-noise ratio for specific analytes while maintaining non-invasive measurement capabilities through optical detection.
Solution Approach 2:
The patent applies local quality by optimizing detection parameters, optical paths, and signal processing specifically for the weak Raman signals from biological samples. This includes using specialized detectors, optical filters, and processing algorithms tailored to enhance the specific spectral characteristics of analytes like glucose in blood or tissue.
2Device complexity
If traditional single-channel spectrometry is used, then device complexity is low, but the ability to distinguish weak analytical signals from background noise deteriorates
Solution Approach 1:
The patent transitions from single-channel to multi-channel spectrometry, adding a dimensional aspect to spectral detection. Each channel provides independent measurement data, creating a multi-dimensional dataset that enhances the ability to distinguish analytical signals from background noise through comparative and complementary information from multiple detection pathways.
Solution Approach 2:
The patent merges multiple detection channels into a unified spectrometer system, combining the advantages of different optical paths, detectors, or wavelength ranges. This integration allows the system to process and correlate data from multiple sources, improving signal discrimination while maintaining a cohesive device architecture.
Data Source
AI summary
The invention relates to a multi-channel spectrometer device (10) for detecting/quantifying a predetermined analyte (5) in a medium (6). The device (10) comprises an input (11) for receiving radiation (7), a first plurality of optical modulators (12) adapted for transforming the radiation (7) in accordance with a first transfer function, and a second plurality of optical modulators (13) adapted for transforming the radiation (7) in accordance with a second transfer function. The spectrometer device also comprises a detector (15) for generating output signals (4) indicative for the intensity of each transformed radiation signal. The ratio of the number of optical modulators in the first plurality and the number of optical modulators in the second plurality is determined by the ratio of a reference spectrum of the predetermined analyte transformed by the first transfer function and the reference spectrum transformed by the second transfer function.