Microfluidic Sensor Calibration for Drift-Stable Biological Monitoring
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Solution Overview
Problem
Existing electrochemical sensors used in organ-on-a-chip systems suffer from intrinsic drift, affecting measurement accuracy and reliability, especially in complex biological solutions, necessitating frequent calibrations that interrupt experimentation.
Innovation Solution
A method and system for calibrating electrochemical sensors within microfluidic components using multiple calibration and perfusion solutions, allowing real-time calibration and drift correction without interrupting experimentation, through a microfluidic system with integrated circuits and control units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electrochemical sensors are used to monitor biological objects in real-time, then measurement capability is improved, but sensor drift occurs affecting accuracy
Solution Approach 1:
The system implements feedback by continuously monitoring the sensor response to known analyte concentrations in the perfusion solution and automatically adjusting calibration parameters when drift is detected, maintaining measurement accuracy without manual intervention
Solution Approach 2:
The sensor system performs self-calibration by utilizing the perfusion solution containing known analyte concentrations as an internal reference, eliminating the need for external calibration operations and enabling continuous autonomous operation
2Measurement precision
If regular sensor calibration is performed to maintain accuracy, then measurement precision is improved, but experimentation is interrupted
Solution Approach 1:
The system enables continuous calibration by integrating the calibration function into the ongoing perfusion process, allowing calibration measurements to be taken without stopping the biological object perfusion or experimental workflow
Solution Approach 2:
The perfusion solution serves multiple functions: it nourishes the biological object, maintains the experimental environment, and simultaneously provides known analyte concentrations for sensor calibration, eliminating the need for separate calibration operations
3Measurement precision
If multiple calibration solutions are used to determine sensitivity and offset, then calibration accuracy is improved, but system complexity increases
Solution Approach 1:
The perfusion solution is designed to contain multiple known analyte concentrations simultaneously, allowing the system to perform multiple calibration measurements using a single solution rather than requiring multiple separate calibration solutions
Solution Approach 2:
The system merges the calibration function with the perfusion function by integrating calibration measurements into the ongoing perfusion process, combining what were previously separate operations into a unified continuous process
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 continuous, reliable electrochemical measurements during long experiments by automatically calibrating sensors in real-time, maintaining measurement accuracy and reducing the need for manual intervention.
Implementation Method 1
one or more electrochemical sensors (amperometric or potentiometric for example) are used
Data Source
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Figure 2A~2C
Figure 2D~2F
AI summary
The invention relates to a method for monitoring a biological object (O) placed in a microfluidic component (OOC), implemented using a monitoring system that includes a sensor (SENS), the monitoring method comprising: - A calibration step of the sensor (SENS), - A first step of perfusion of the biological object (O) to generate reference measurement data using the sensor, - A second step of perfusion of the biological object by injection of a first perfusion solution (P1) into the microfluidic component (OOC), said first perfusion solution (P1) taking on a second state after passing through the biological object (O), - Said first perfusion solution (P1) in its second state being injected into said sensor (SENS) to generate second measurement data using the sensor, - A differential measurement step by the sensor (SENS).by comparing the reference measurement data with the second set of measurement data.