Bioprocessing pH Sensor Compensation for Pressure and Conductivity
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Solution Overview
Problem
Existing pH sensor measurements in bioprocessing applications are inaccurate due to variations in pressure and conductivity, which are not adequately compensated for by current technologies, affecting the reliability of process control and product quality.
Innovation Solution
A pH system that incorporates a pH sensor, a pressure sensor, and optionally a conductivity sensor, where the outputs are processed by a controller to calculate a compensation coefficient based on conductivity and apply it to adjust pH readings for pressure variations, using a power law relationship to account for conductivity's impact on pressure sensitivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional pH sensor measurements are used without compensation, then the system is simple and easy to operate, but the measurement precision deteriorates due to pressure and conductivity variations
Solution Approach 1:
The patent introduces pressure and conductivity sensors as intermediary devices that measure environmental conditions affecting pH readings. These sensors act as mediators to detect the causes of measurement errors, enabling the controller to calculate compensation values that correct the pH measurements, thereby resolving the contradiction between measurement precision and device complexity.
Solution Approach 2:
The patent changes the measurement parameters by incorporating pressure and conductivity measurements into the pH measurement system. The controller uses these additional parameters to calculate compensation values based on predetermined relationships, transforming the raw pH reading into a compensated accurate value, thus improving measurement precision while managing system complexity through algorithmic compensation.
2Reliability
If pressure and conductivity compensation is implemented, then the reliability of pH measurements improves, but the device complexity increases due to additional sensors and processing
Solution Approach 1:
The controller serves multiple functions: it not only processes pH readings but also receives and processes pressure and conductivity sensor data, calculates compensation values, and outputs corrected pH measurements. This multi-functionality consolidates the complexity into a single processing unit, improving reliability while managing device complexity through functional integration.
Solution Approach 2:
The system implements feedback by using pressure and conductivity measurements to calculate compensation values that are applied to correct pH readings. The controller continuously monitors environmental conditions and adjusts the pH measurements accordingly, creating a closed-loop feedback system that enhances measurement reliability while managing complexity through automated compensation algorithms.
3Measurement precision
If multiple sensors are integrated for compensation, then the measurement precision improves, but the ease of operation deteriorates due to increased system complexity
Solution Approach 1:
The system performs self-service by automatically calculating and applying compensation values without requiring user intervention. The controller autonomously processes data from multiple sensors, computes compensation based on predetermined relationships, and outputs corrected pH measurements, thereby maintaining measurement precision while preserving ease of operation through automated self-compensation.
Data Source
AI summary
A pH system that is able to compensate for variations in pressure and conductivity is disclosed. The system includes a pH sensor, a pressure sensor and optionally a conductivity sensor, the outputs of each are transmitted to a controller. The controller multiplies a compensation coefficient by the difference in pressure between the measured pressure and a threshold pressure. This result is then added to the measured pH value. Further, the compensation coefficient is a function of the conductivity of the solution. In some instances, the compensation coefficient is calculated by raising the conductivity to a power and multiplying that result by a constant. This pH system may be incorporated into various bioprocessing systems, such as multi-column chromatography systems and viral inactivation systems.