Pipette Pressure Curve Simulation for Unknown Liquid Parameters
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Solution Overview
Problem
Laboratory automation devices face challenges in determining the physical parameters of unknown liquids, such as density and viscosity, which are crucial for accurate handling and processing.
Innovation Solution
A method involving a laboratory automation device that uses a pipette to aspirate and dispense both known and unknown liquids, measuring pressure curves to determine pipette and liquid parameters through iterative optimization, utilizing methods like Monte Carlo and genetic algorithms to adjust simulated curves to measured curves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical parameters of unknown liquids are determined through manual measurement and analysis, then measurement precision can be achieved, but the process is time-consuming and lacks automation
Solution Approach 1:
The system performs self-characterization by automatically determining its own pipette geometric parameters through pressure curve analysis, eliminating the need for manual measurement and calibration. The control device autonomously extracts parameters like tip radius and conical section dimensions from the pressure data, making the system self-sufficient and eliminating time-consuming manual intervention.
Solution Approach 2:
The patent replaces manual mechanical measurement methods with an automated electronic system that uses pressure sensing and computational analysis. Instead of physically measuring pipette dimensions with calipers or other mechanical tools, the system uses pressure curve data processed by a control device to determine geometric parameters, significantly reducing time while maintaining precision.
2Measurement precision
If iterative optimization methods like Monte Carlo or genetic algorithms are used to adjust simulated curves to measured curves, then parameter determination accuracy is improved, but computational complexity and processing time increase
Solution Approach 1:
The system performs a preliminary determination of pipette geometric parameters using pressure curve analysis before conducting the iterative optimization for liquid parameters. By first establishing accurate pipette characteristics through self-characterization, the system reduces the complexity of subsequent optimization steps, as the pipette parameters are already known and can be used as fixed inputs in the optimization process.
Solution Approach 2:
The parameter determination process is divided into distinct segments: first determining pipette geometric parameters from pressure curves, then using those results as inputs for a second optimization step to determine liquid physical parameters. This segmentation of the optimization process reduces overall computational complexity by breaking down the problem into manageable stages with clear dependencies.
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 determines the physical parameters of unknown liquids, enhancing the device's ability to handle and process these liquids effectively.
Implementation Method 1
measuring a pressure curve in the pipette during aspirating and/or dispensing
Data Source
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AI summary
A method for determining physical parameters of an unknown liquid (22) to be aspirated and/or dispensed by a laboratory automation device (10) comprises: determining physical parameters of the pipette (14), the physical parameters including geometric parameters of the pipette (14), which at least include a tip radius of an orifice of the pipette (15); aspirating and/or dispensing the unknown liquid (22) with a pipette (14) of the laboratory automation device and measuring a measured pressure curve (40) in the pipette (14) during aspirating and/or dispensing; determining the physical parameters of the unknown liquid (22) by minimizing an objective function depending on a difference (44) between a simulated pressure curve and the measured pressure curve, wherein the simulated pressure curve (42) simulates a pressure in the pipette (14) during aspirating and/or dispensing and is calculated based on a physical model of the laboratory automation device (10) including the physical parameters of the pipette (14), wherein the physical parameters of the unknown liquid (22) are varied to minimize the objective function.