Dual Spectrum Collection Unit for Accurate Sample Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional Raman spectrometers fail to accurately generate spectral data that accounts for the properties of both the medium and the target material, leading to incomplete analysis due to energy absorption and scattering effects within the medium.
Innovation Solution
A sample ingredient analysis apparatus comprising a first spectrum collection unit for broadband wavelength light and a second spectrum collection unit for Raman scattered light, with a data analyzer that calculates spectral data considering both elastic and inelastic scattering properties, allowing for accurate concentration data retrieval of the target material.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional Raman spectrometer uses single spectrum collection unit, then device complexity is reduced, but measurement precision deteriorates due to inability to account for medium properties in spectral data
Solution Approach 1:
The patent divides the spectrum collection function into two separate units: a first spectrum collection unit for collecting first spectra and a second spectrum collection unit for collecting second spectra. This segmentation allows each unit to specialize in specific wavelength ranges or spectral characteristics, enabling the system to separately characterize both the medium and target material properties without interference, thereby improving measurement precision while maintaining manageable device complexity through functional division.
Solution Approach 2:
The patent introduces a new dimension to spectral data collection by simultaneously acquiring multiple types of spectral information (first spectra and second spectra) that capture different aspects of light-matter interaction. This dimensional expansion allows the system to represent the sample's optical properties in a higher-dimensional space, enabling more accurate decomposition of medium and target material contributions to the overall spectral signal.
2Reliability
If light passes through medium to reach target material, then complete sample analysis is enabled, but energy loss increases due to absorption and scattering in medium
Solution Approach 1:
The patent performs preliminary spectral characterization by collecting first spectra that specifically capture the optical properties of the medium before the light reaches the target material. This preliminary action allows the system to pre-characterize the medium's absorption and scattering characteristics, enabling subsequent compensation effects that restore the energy and information lost during light transmission through the medium to the target material.
Solution Approach 2:
The patent establishes a feedback mechanism where the first spectra (medium characteristics) and second spectra (target material response) are combined through calculation to generate corrected spectral data. This feedback loop continuously refines the analysis by using the medium characterization information to compensate for energy losses and optical distortions, ensuring complete and accurate sample analysis while effectively managing light energy loss.
3Measurement precision
If spectral data does not account for medium properties, then calculation complexity is reduced, but measurement precision deteriorates due to incomplete spectral representation
Solution Approach 1:
The patent segments the spectral data into distinct components: first spectral data representing medium properties and second spectral data representing target material properties. This segmentation allows the calculation unit to process and analyze each component separately using optimized algorithms, then combine them to produce accurate concentration data. By dividing the complex calculation into manageable segments, the system achieves high measurement precision without excessive computational complexity.
Solution Approach 2:
The patent introduces intermediate spectral data representations (first spectral data and second spectral data) that serve as mediators between the raw spectral measurements and the final concentration analysis. These intermediate representations separately encode medium and target material information, acting as bridges that enable accurate decomposition and quantification. This intermediary approach simplifies the overall calculation by providing structured, pre-processed data that can be directly used for concentration determination without requiring complex real-time calculations.
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
Enables rapid and non-destructive analysis of samples by generating spectral data that accurately reflects the properties of both the medium and the target material, improving analysis accuracy and reliability.
Implementation Method 1
The first spectrum may be generated as the result of the first light of a broadband wavelength emitted from a lamp being transmitted through or reflected from the sample
Implementation Method 2
Raman spectroscopy is based on the principle of radiating excitation light (e.g. a laser) to a material to be analyzed and generating scattered light from the material to be analyzed to measure the relative energy (or wavelength or frequency) change of inelastically scattered light relative to the excitation light
Implementation Method 3
generating spectral data of the measurement target material and the medium in consideration of elastic scattering properties and inelastic scattering properties of the measurement target material and the medium with respect to incident light
Data Source
AI summary
Disclosed is a sample ingredient analysis apparatus including a first spectrum collection unit configured to radiate first light to a sample in order to generate a first spectrum and to concentrate the first spectrum, a second spectrum collection unit configured to radiate second light to the sample in order to generate a second spectrum and to concentrate the second spectrum, a data analyzer configured to receive the first and second spectra from the first and second spectrum collection units, to generate first and second spectral data based on the first and second spectra, and to calculate the first and second spectral data in order to obtain spectral data, and a data terminal configured to receive the first and second spectra data and the spectral data from the data analyzer and to display the first and second spectra and the spectral data to the outside.