Electrospinning Parameter Optimization
Electrospinning Parameter Optimization - Related Videos
07:57
Electrospinning Fundamentals: Optimizing Solution and Apparatus Parameters
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Cited by 93 •
2011
Electrospinning techniques can create a variety of nanofibrous scaffolds for tissue engineering or other applications. We describe here a procedure to optimize the parameters of the electrospinning solution and apparatus to obtain fibers with the desired morphology and alignment. Common problems and troubleshooting techniques are also presented.
07:58
Electrospinning of Silk Biomaterials
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2023
Silk fibers have been processed and used to create fabrics and threads for centuries. However, the solubilizing of silk fibers, thereby turning it into a versatile pre-polymer solution is a much newer technology. Solubilized silk can be processed in many different ways to create a biocompatible material with controllable mechanical properties. This video introduces the processing of silk from silk worm cocoons, and shows how the silk solution can be used to create a fiber mat via...
09:30
Electrospinning of Photocatalytic Electrodes for Dye-sensitized Solar Cells
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Cited by 3 •
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The overall goal of this project was to use electrospinning to fabricate a photoanode with improved performance for dye-sensitized solar cells.
08:23
Optimization of Performance Parameters of the TAGGG Telomere Length Assay
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Cited by 3 •
2023
Here, we describe in detail the protocol for quantifying telomere length using non-radioactive chemiluminescent detection, with a focus on the optimization of various performance parameters of the TAGGG telomere length assay kit, such as buffer quantities and probe concentrations.
06:55
Fabrication of Small Caliber Stent-grafts Using Electrospinning and Balloon Expandable Bare Metal Stents
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Cited by 10 •
2016
In the protocol, we present a method to manufacture a small caliber stent-graft by sandwiching a balloon expandable stent between two electrospun nanofibrous polyurethane layers.
FAQs
These variables regulate how the charged jet stretches and how much time the material has for solvent evaporation before reaching the collector. Voltage affects the applied electric field, flow rate controls the amount of solution or melt entering the jet, and needle-to-collector distance changes the travel path. Adjusting them together helps control fiber diameter, morphology, and reproducibility.
Polymer concentration and viscosity influence whether the stretched jet can form continuous fibers with the desired structure, while conductivity affects how the material responds to the electric field. Because these solution conditions interact with voltage and flow rate, changing one variable can alter fiber formation even when equipment settings remain constant. Optimization therefore requires evaluating processing and solution conditions together.
Solvent evaporation occurs while the charged jet travels from the Taylor cone toward the collector, helping determine the material state when fibers are deposited. The available evaporation conditions depend partly on processing settings such as flow rate and needle-to-collector distance. Controlling this stage supports adjustment of morphology and porosity, which are important for matching a scaffold or delivery material to its intended use.
Optimization should assess more than fiber diameter alone. The resulting nanofibers can be examined for diameter, morphology, porosity, and mechanical properties, because these characteristics determine whether the material meets a specific performance requirement. Comparing these outcomes across processing and solution conditions also helps identify settings that provide consistent results rather than an isolated fiber structure.
Begin by selecting the polymer solution or melt and identifying the required fiber characteristics. Then vary relevant settings, including voltage, flow rate, needle-to-collector distance, polymer concentration, viscosity, and conductivity. Produce fibers under the selected conditions and compare their diameter, morphology, porosity, and mechanical properties. This iterative process links controllable inputs with measurable material outcomes and improves reproducibility.
In bioengineering, optimized electrospun fibers can be tailored for tissue-engineering scaffolds, wound dressings, and drug-delivery systems. Their controlled architecture can mimic aspects of extracellular matrix structure, while adjusted mechanical properties and porosity support application-specific requirements. Parameter optimization is especially relevant when the material must perform reliably within a particular biological environment rather than simply form fibers.