Optical Analysis System Orthogonal Filtering for Precision
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Solution Overview
Problem
Existing optical systems face challenges in accurately measuring light intensity due to interfering factors, leading to inaccurate data interpretation, especially in multivariate analysis where multiple wavelength bands are involved, and require expensive and sensitive detectors that are impractical for many applications.
Innovation Solution
A multivariate optical computing system that uses spectral elements and optical filters to separate and analyze light into orthogonal components, reducing interference and enabling precise measurement of light data through direct optical computation, thereby simplifying instrumentation and improving measurement precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional detectors are used to measure light intensity across multiple wavelength bands, then measurement capability is provided, but measurement precision deteriorates due to interfering factors and cross-talk between wavelength bands
Solution Approach 1:
The patent segments the light signal into orthogonal components using optical filters before detection. Each detector measures only one orthogonal component, eliminating cross-talk between wavelength bands. This segmentation of the measurement process resolves the interference problem by physically separating the measurement channels.
Solution Approach 2:
The patent introduces optical filters as intermediary elements between the light source and detectors. These filters perform optical computation to create orthogonal wavelength combinations, acting as mediators that eliminate interfering factors before the light reaches the detectors. This intermediary processing layer solves the measurement precision problem.
2Loss of information
If multiple wavelength bands are measured simultaneously to obtain multivariate data, then information completeness is improved, but device complexity increases due to the need for expensive and sensitive detectors
Solution Approach 1:
The patent replaces complex electronic detection systems with simpler optical filtering elements. Instead of using expensive, sensitive detectors to resolve multiple wavelength bands, the system uses optical filters to perform the separation and measurement function. This substitution of optical computation for electronic detection reduces device complexity while maintaining information completeness.
Solution Approach 2:
The patent performs preliminary optical computation through the filters before detection occurs. By pre-processing the light signal to create orthogonal components, the system simplifies the subsequent detection step. This preliminary action eliminates the need for complex simultaneous multi-wavelength detection, reducing device complexity.
3Device complexity
If traditional optical systems are used without orthogonal filtering, then system simplicity is maintained, but measurement precision deteriorates due to cross-talk and background noise
Solution Approach 1:
The patent changes the spectral parameters of the light signal by using optical filters to create orthogonal wavelength combinations. This parameter transformation eliminates cross-talk and background noise while maintaining relative system simplicity. The filtering approach adds minimal complexity compared to the significant improvement in measurement precision.
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 allows for accurate and efficient derivation of information from light signals by minimizing cross-talk and background noise, enhancing measurement precision and reducing the need for expensive detectors, making it more practical for various applications.
Implementation Method 1
an optical filter mechanism disposed to receive the first beam, the optical filter mechanism being configured to optically filter data carried by the first beam into at least one orthogonal component of the first beam
Implementation Method 2
a spectral element being configured to filter the first light for a spectral range of interest of a sample
Implementation Method 3
a modulator disposed in the first ray path proximate the spectral element, the modulator being configured to modulate the first light to a desired frequency
Data Source
AI summary
A multivariate optical computing and analysis system includes a light source configured to radiate a first light along a first ray path; a modulator disposed in the first ray path, the modulator configured to modulate the first light to a desired frequency; a spectral element disposed proximate the modulator, the spectral element configured to filter the first light for a spectral range of interest of a sample; a cavity disposed in communication with the spectral element, the cavity configured to direct the first light in a direction of the sample; a tube disposed proximate the cavity, the tube configured to receive and direct a second light generated by a reflection of the first light from the sample, the tube being further configured to separate the first and second lights; a beamsplitter configured to split the second light into a first beam and a second beam; an optical filter mechanism disposed to receive the first beam, the optical filter mechanism configured to optically filter data carried by the first beam into at least one orthogonal component of the first beam; and a detector mechanism in communication with the optical filter mechanism to measure a property of the orthogonal component to measure the data.