Non-Destructive Fluid-State Prediction Using Derivative Spectra
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Solution Overview
Problem
Existing optical analysis systems for chemical reaction systems require destructive sampling to analyze optical isomerism, limiting their applicability and efficiency.
Innovation Solution
An apparatus and method that non-destructively analyzes fluid spectra using a detection unit, derivative unit, extraction unit, and prediction unit to determine the state of a fluid in a flow channel, incorporating principal component analysis and peak data analysis to predict fluid conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If destructive sampling is used to analyze optical isomerism, then measurement precision is improved, but productivity is worsened due to loss of sample material
Solution Approach 1:
The patent replaces destructive mechanical sampling with non-destructive optical detection. A near-infrared spectroscopy detection unit measures the fluid spectrum without consuming or damaging the sample, allowing continuous monitoring while maintaining measurement precision for optical isomerism analysis
Solution Approach 2:
The patent introduces a derivative spectrum as an intermediary representation. By calculating the derivative of the fluid spectrum and comparing it with the derivative of the solvent spectrum, the system extracts information about optical isomerism without directly analyzing the sample material, thus avoiding destruction
2Measurement precision
If complex spectral analysis methods are used to predict fluid state, then measurement precision is improved, but device complexity is worsened
Solution Approach 1:
The patent segments the spectral analysis into distinct processing stages: obtaining fluid spectrum, calculating derivative spectrum, comparing with solvent spectrum, and predicting fluid state. Each stage handles a specific aspect of the analysis, making the overall complex process more manageable and implementable
Solution Approach 2:
The patent creates a reference model by storing the derivative spectrum of the solvent as a baseline. This copied reference is then compared with the derivative fluid spectrum to extract information about the fluid state, simplifying the analysis by using a known reference rather than requiring complex absolute measurements
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 non-destructive, accurate prediction of fluid states, including pH, temperature, and reaction progress, facilitating real-time monitoring and control of chemical reactions.
Implementation Method 1
a detection unit that detects a fluid spectrum which is a spectrum of light indicating a state of a fluid
Data Source
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AI summary
Provided is an apparatus (10) comprising: a detection unit (200: 180, 182, 186, 188, 190, 192, 194, 196) that detects a fluid spectrum which is a spectrum of light indicating a state of a fluid flowing through a flow channel (104, 114, 124, 134, 142, 152, 162), a derivative unit (210) that differentiates the fluid spectrum to derive a derivative spectrum; an extraction unit (240) that extracts a first solvent spectrum by principal component analysis for a solvent of the fluid, a calculation unit (250) that calculates a difference spectrum between the derivative spectrum and the first solvent spectrum and a prediction unit (270) that predicts a state of the fluid by using data regarding a peak of the difference spectrum calculated.