Volatile Liquid Sensing With Non-Equilibrium Spectral Analysis
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Solution Overview
Problem
Existing methods for analyzing volatile liquid mixtures are limited in their ability to accurately and efficiently determine compositional changes and properties of volatile liquids, particularly in real-time and non-equilibrium conditions.
Innovation Solution
A sensor system utilizing a non-porous material with a photonic crystal structure that undergoes physical or chemical modifications upon sorption of vaporized analytes, combined with machine learning algorithms to analyze non-equilibrium sensor responses, enabling precise determination of compositional changes and properties of volatile liquids.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional equilibrium-based analysis methods are used, then measurement simplicity is maintained, but measurement precision and ability to detect compositional changes deteriorate
Solution Approach 1:
The patent transitions from static equilibrium-based sensing to dynamic non-equilibrium sensing by monitoring sensor responses during the evaporation process. The sensor detects compositional information from transient vapor-phase interactions before equilibrium is reached, capturing kinetic data that reveals mixture composition without requiring complex equilibrium establishment procedures.
Solution Approach 2:
The invention exploits changes in sensor response parameters during the evaporation process. By monitoring how sensor signals evolve over time as the liquid evaporates and composition changes, the system extracts compositional information from dynamic parameter variations rather than relying on static equilibrium measurements.
2Productivity
If real-time analysis is implemented, then productivity is improved, but measurement precision under non-equilibrium conditions deteriorates
Solution Approach 1:
The system performs preliminary sensing actions during the evaporation process itself, capturing compositional information from vapor-phase interactions before the system reaches equilibrium. This allows real-time analysis to begin during the natural evaporation process rather than waiting for equilibrium conditions to be established.
Solution Approach 2:
The patent employs feedback mechanisms where sensor responses during evaporation are continuously monitored and fed back for compositional analysis. The system uses the dynamic sensor signals generated during non-equilibrium evaporation to provide real-time compositional feedback, enabling continuous monitoring without requiring equilibrium conditions.
3Measurement precision
If non-porous sensor materials are used, then device complexity is reduced, but sensitivity to vaporized analytes deteriorates
Solution Approach 1:
The patent utilizes porous sensor materials that interact with vaporized analytes through adsorption and diffusion mechanisms. The porous structure provides increased surface area and active sites for vapor interaction, enhancing sensitivity to compositional changes in the evaporating liquid mixture while maintaining a relatively simple overall device architecture.
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
The system provides real-time, accurate analysis of volatile liquid mixtures by detecting non-equilibrium sensor responses, allowing for the determination of compositional and property changes with high sensitivity and specificity.
Implementation Method 1
evaporation of at least a portion of the analyte liquid into a vaporized analyte
Implementation Method 2
convection and diffusion of the vaporized analyte through the chamber to the sensor
Implementation Method 3
convection and diffusion of the vaporized analyte through the chamber to the sensor
Implementation Method 4
sorption of the vaporized analyte on the sensor material
Data Source
AI summary
A method for analyzing a volatile liquid mixture is described. The method includes providing a sensor, and placing the sensor within a chamber. The mixture is stored in the chamber for a duration sufficient to achieve a series of dynamic non-equilibrium mass-transfer processes: (1) spreading and wetting of the analyte on at least a portion of the bottom-inside surface of the chamber from the source of the injection, (2) evaporation of at least a portion of the analyte liquid into a vaporized analyte, (3) convection and/or diffusion of the vaporized analyte through the chamber to the sensor, and (4) sorption of the vaporized analyte on the sensor. The sensor detects, over time, a plurality of non-equilibrium spectral responses, each corresponding to at least one compositional change in the analyte liquid. The method further includes machine learning algorithms to measure or predict the compositional change and/or presence of contaminants.