RF Signal Analysis for Pharmaceutical Concentration Identification
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Solution Overview
Problem
The identification of chemical and pharmaceutical solutions and compositions in manufacturing is challenging due to the need for automated quality control and assurance systems to prevent defects and human error, especially in the increasing use of automation and technology.
Innovation Solution
A system and method that uses radio frequency (RF) signals to identify constituents and concentrations of solids dissolved in solutions by applying Partial Least Squares (PLS) regression analysis to RF signal measurements, comparing them against baseline measurements in a database, and determining the identity and concentration of the constituents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If automated quality control systems are implemented to identify chemical and pharmaceutical solutions, then manufacturing precision and reliability are improved, but device complexity and measurement difficulty increase
Solution Approach 1:
The system segments the identification process into distinct functional modules: RF signal transmission, signal reception, frequency domain analysis, time domain analysis, and database comparison. Each module handles a specific aspect of the identification task, making the overall complex system manageable and maintainable while achieving high identification accuracy
Solution Approach 2:
The patent introduces an RF signal as an intermediary that interacts with the solution to produce measurable effects (frequency shifts, time domain responses). This intermediary enables indirect measurement of solution properties without direct contact or complex chemical analysis, simplifying the measurement interface while maintaining precision
2Measurement precision
If RF signal analysis with PLS regression is used to determine constituent and concentration values, then measurement precision is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system performs preliminary calibration by building PLS regression models using known reference samples before actual measurement. This preliminary action creates pre-computed relationships between RF signal characteristics and solution properties, enabling accurate concentration measurements without real-time complex calculations, thus reducing measurement difficulty while maintaining precision
Solution Approach 2:
The patent replaces direct physical or chemical measurement methods with electromagnetic field-based RF analysis. Instead of mechanical or chemical probing of the solution, the system uses RF signals that penetrate and interact with the solution, with results processed through computational PLS regression, substituting complex physical measurement with more manageable electromagnetic sensing and data processing
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
Accurately identifies pharmaceuticals and liquid solutions in IV bags and other containers, providing reliable quality control by distinguishing between different substances and their concentrations, reducing the risk of manufacturing defects and human error.
Implementation Method 1
providing an input radio frequency (RF) signal to the solution, receiving at least one of a reflected RF signal and a coupled RF signal
Data Source
AI summary
A system and method are disclosed for determining a constituent and/or concentration of a solid dissolved in a liquid. In one embodiment, a method is provided to interrogate and identify a liquid in a medical container.