Bioprocess Sampling Membrane with Counter Pressure Control
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Solution Overview
Problem
Existing bioprocess sampling methods disturb the process by repeatedly taking physical samples, leading to fluidic disturbances and significant loss of processing fluid, and fail to provide accurate analyte concentration at the spectroscopic measurement point.
Innovation Solution
A bioprocess assembly with a separation system and integrated sampling system, featuring a sampling membrane and a counter pressure generating unit, ensures minimal disturbance by controlling pressure through sensors and valves, allowing for accurate analyte concentration representation at the measurement point.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical samples are repeatedly taken from the process, then analyte concentration can be measured, but the process is disturbed and processing fluid is lost
Solution Approach 1:
A sampling membrane acts as an intermediary between the process stream and sampling channel, allowing analyte passage while maintaining process integrity. The membrane enables indirect sampling without direct fluid withdrawal, eliminating process disturbance and fluid loss while providing accurate analyte concentration measurements for spectroscopic calibration.
2Ease of operation
If sampling points are located in intermediate or end vessels, then sampling is simplified, but the sample only provides average analyte concentration and not at the specific measurement point
Solution Approach 1:
The sampling membrane is positioned in a third spatial dimension - embedded within the process stream path rather than in intermediate or end vessels. This allows the sampling point to be co-located with the spectroscopic measurement location, providing accurate analyte concentration data at the specific measurement point while maintaining ease of operation through integrated membrane sampling.
3Object-affected harmful factors
If a sampling membrane is used, then process disturbance is minimized, but pressure control within the sampling channel becomes complex
Solution Approach 1:
Pressure sensors provide real-time feedback on pressure conditions within the sampling channel, and a control system adjusts pressure parameters to maintain optimal sampling conditions. This feedback mechanism minimizes process disturbance by dynamically adapting pressure control, while the automated control system manages the complexity of pressure regulation without requiring manual intervention.
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 solution minimizes process disturbances and reduces fluid loss while providing precise analyte concentration data for calibration, enhancing process accuracy and reducing costs.
Implementation Method 1
the sampling system is fluidically connected to the separation system and comprises a sampling membrane such that the separation system and the sampling membrane provide a separate sampling channel
Implementation Method 2
the sampling channel comprises a counter pressure generating unit and at least one sensor, wherein the counter pressure generating unit is configured to adjust the pressure within the sampling channel based on data collected by the at least one sensor
Data Source
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AI summary
A bioprocess assembly (10) comprises a separation system (12) and a sampling system (14). The sampling system (14) is fluidically connected to the separation system (12) and comprises a sampling membrane (32) such that the separation system (12) and the sampling membrane (32) provide a separate sampling channel (30). The sampling channel (30) comprises at least one fluidic connection (36) to receive a buffer and at least one fluidic connection (51) to a sampling station (50). Further, the sampling channel (30) comprises a counter pressure generating unit (48) and at least one sensor (40), wherein the counter pressure generating unit (48) is configured to adjust the pressure within the sampling channel (30) based on data collected by the at least one sensor (40).