Pressure-driven Control
Pressure-driven Control - Related Videos
07:26
Synthesis and Microdiffraction at Extreme Pressures and Temperatures
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Cited by 5 •
2013
The laser heated diamond anvil cell combined with synchrotron micro-diffraction techniques allows researchers to explore the nature and properties of new phases of matter at extreme pressure and temperature (PT) conditions. Heterogeneous samples can be characterized in situ under high pressure by 2D mapping and combined powder, single-crystal and multigrain diffraction approaches.
07:55
Pressure Controlled Ventilation to Induce Acute Lung Injury in Mice
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Cited by 7 •
2011
A murine model for ventilator induced lung injury is an important tool to study an acute lung injury in vivo. Here, we report an easy applicable in situ model for acute lung injury using high-pressure mechanical ventilation to induce acute failure of the lung.
10:28
Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique
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Cited by 1 •
2023
A simple and cost-efficient fabrication method based on the solvent evaporation technique is presented to optimize the performance of a soft capacitive pressure sensor, which is enabled by porosity control in the dielectric layer using different mass ratios of the molding PDMS/toluene solution.
09:58
Light-driven Enzymatic Decarboxylation
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Cited by 6 •
2016
We describe a protocol for the light-catalyzed generation of hydrogen peroxide — a cofactor for oxidative transformations.
11:35
Constant Pressure-controlled Extrusion Method for the Preparation of Nano-sized Lipid Vesicles
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Cited by 29 •
2012
This protocol describes an extrusion method for preparing lipid vesicles of sub-micron sizes with a high degree of homogeneity. This method uses a pressure-controlled system with controlled nitrogen flow rates for liposome preparation. The lipid preparation1,2, liposome extrusion, and size characterization will be presented herein.
FAQs
Flow rate is determined by the balance between the applied pressure difference and the system’s resistance. A larger driving difference can promote faster transport, whereas narrow or porous pathways and other resistive elements limit movement. In bioengineering, this relationship helps tune fluid delivery through channels or tissue-like structures without changing the transported material.
Valves, flexible membranes, and feedback sensors convert a pressure input into controllable behavior. Valves regulate when a pathway is open, membranes can respond mechanically to pressure, and sensors report system behavior for adjustment. Together, these elements improve response accuracy, allowing an engineered device to maintain more consistent flow or deformation than pressure application alone.
Pressure-driven control can regulate either transport or mechanical response, depending on the engineered structure. In a channel or porous material, pressure primarily produces fluid movement; with a flexible membrane, it can produce deformation that changes system behavior. This distinction matters when designing devices that must coordinate fluid handling with physical motion.
Setting up a pressure-driven system begins by defining the desired fluid path and the pressure difference across it. Researchers then account for pathway resistance and integrate relevant valves, membranes, or sensors. Observing the resulting flow or deformation provides a basis for adjusting the pressure input and refining control. This workflow supports reproducible operation in engineered systems.
In microfluidic handling and sample processing, pressure-driven control provides a way to move liquids through engineered pathways with predictable direction and transport behavior. The approach is useful when a device must coordinate movement across channels or porous structures while preserving control over surrounding experimental conditions. It therefore supports repeatable laboratory workflows and controlled biomolecular sample handling.
For engineered tissues and biomedical devices, controlled pressure gradients can establish perfusion conditions that help reproduce aspects of a physiological environment. The same principle supports controlled delivery and process scale-up by linking pressure input to measurable flow or deformation. These outcomes help researchers evaluate device performance and maintain defined cellular or biomolecular environments.