Raman Spectroscopy Signal Enhancement via Variable Spot Size
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Solution Overview
Problem
Raman spectroscopy measurements are hindered by weak Raman signal intensity, interference from fluorescence, ambient light, and stray light, making it difficult to acquire reliable and quick identifications of substances, especially under field conditions.
Innovation Solution
The method involves setting a first and second spot size of light emitted by a light source at a sample, recording spectra with each spot size, and forming a data set based on the dissimilarity between the spectra to enhance the Raman contribution, using a liquid lens to adjust the focal point and intensity, thereby improving the signal-to-noise ratio and suppressing fluorescence and other optical responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a small spot size is used to enhance Raman signal intensity, then the Raman contribution is improved, but the measurement time increases and the system becomes more sensitive to optical responses from ambient light and fluorescence
Solution Approach 1:
The measurement process is segmented into multiple recordings at different spot sizes (first and second spot sizes), allowing the system to capture Raman signals under varying illumination conditions. This segmentation enables subsequent differentiation between Raman contributions and background noise through comparative analysis of the recorded spectra.
Solution Approach 2:
The system dynamically adjusts the spot size of the light source during measurement. By varying the spot size between first and second measurements, the system optimizes the balance between Raman signal intensity and susceptibility to optical responses from ambient light and fluorescence, enabling adaptive measurement strategies.
2Measurement precision
If a small spot size is used to enhance Raman signal intensity, then the Raman contribution is improved, but the optical responses from ambient light and fluorescence increase relative to the Raman signal
Solution Approach 1:
The system converts the harmful optical responses from ambient light and fluorescence into useful information by recording spectra at multiple spot sizes. The difference between recordings at different spot sizes is used to isolate and enhance the Raman contribution, effectively transforming background noise into a tool for signal purification.
Solution Approach 2:
The system introduces an intermediary measurement process where spectra are recorded at both a first spot size and a second spot size. This intermediary approach allows the system to separate the Raman signal from harmful optical responses through comparative analysis, with the difference between recordings serving as a mediator to isolate the desired Raman contribution.
3Measurement precision
If chemical analysis is used to determine substances, then accuracy is improved, but complexity and time required increase
Solution Approach 1:
The system replaces complex chemical analysis procedures with optical measurement techniques. By using spectroscopic methods with varying spot sizes and analyzing the differences in recorded spectra, the system achieves substance determination without requiring complex chemical reagents and procedures, thereby reducing overall system complexity.
4Measurement precision
If chemical analysis is used to determine substances, then accuracy is improved, but time required and cost increase
Solution Approach 1:
The system replaces time-consuming chemical analysis with rapid optical measurement. By capturing spectra at different spot sizes and processing the differences, the system achieves accurate substance determination significantly faster than traditional chemical analysis methods, eliminating the need for lengthy laboratory procedures.
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 Raman contribution in the data set, leading to more accurate determination and characterization of substances by improving the visibility of Raman peaks and reducing noise, facilitating identification under field conditions.
Implementation Method 1
Raman spectroscopy is a spectroscopic technique relying on in-elastic scattering of photons, known as Raman scattering. The laser light interacts with molecular vibrations, phonons or other excitations in the molecular system, resulting in that the energy of the laser photons being shifted up or down in the in-elastically scattered light thereof.
Implementation Method 2
using a liquid lens to adjust the focal point and intensity
Implementation Method 3
Another commonly used approach for detecting and determining different substances is to use some form of spectroscopic analysis. A common type of spectroscopy used in this case is optical spectroscopy where light having interacted with the substance in question is analyzed using a spectrometer.
Data Source
AI summary
The present invention relates to a method (500) for enhancing a Raman contribution in a spectrum of a sample (102), the method (500) comprising: Recording (504) a first spectrum of light (200) comprising information associated with ambient light and a first measurement response, wherein the first measurement response comprises a first optical response and a first Raman response of the sample (102) in response to being illuminated with light (104), having a first spot size (103b), from a light source (110). Recording (508) a second spectrum of light (300) comprising information associated with ambient light and a second measurement response, wherein the second measurement response comprises a second optical response and a second Raman response of the sample (102) in response to being illuminated with light (104), having a second spot size (103a), from the light source (110). Wherein the first spot size (103b) is larger than the second spot size (103a), whereby a contribution, to the first measurement response, of the first Raman response in relation to a contribution of the first optical response is smaller than a contribution, to the second measurement response, of the second Raman response in relation to the second optical response. Forming (510) a data set (400) based on a dissimilarity between the first spectrum (200) and the second spectrum (300), thereby enhancing a contribution of a Raman response to the formed data set (400). A spectroscopy system (100), a computer program and a non-transitory computer-readable storage medium are also disclosed.