Ion Recombination
Ion Recombination - Related Videos
11:32
Determination of the Relative Cell Surface and Total Expression of Recombinant Ion Channels Using Flow Cytometry
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Cited by 11 •
2016
Inherited cardiac arrhythmias are often caused by mutations that alter the surface delivery of one or more ion channels. Here, we adapt flow cytometry assays to provide a quantification of the relative total and cell surface protein expression of recombinant ion channels expressed in tsA-201 cells.
12:59
Optimized Transfection Strategy for Expression and Electrophysiological Recording of Recombinant Voltage-Gated Ion Channels in HEK-293T Cells
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Cited by 23 •
2011
Reliable method for highly efficient in vitro expression and subsequent electrophysiological recording of recombinant voltage-gated ion channels in cultured human embryonic kidney cells (HEK-293T).
14:23
Recombineering Homologous Recombination Constructs in Drosophila
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Cited by 9 •
2013
Homologous recombination techniques greatly advance Drosophila genetics by enabling the creation of molecularly precise mutations. The recent adoption of recombineering allows one to manipulate large pieces of DNA and transform them into Drosophila6. The methods presented here combine these techniques to rapidly generate large homologous recombination vectors.
03:24
Common Ion Effect
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2020
Compared with pure water, the solubility of an ionic compound is less in aqueous solutions containing a common ion (one also produced by dissolution of the ionic compound). This is an example of a phenomenon known as the common ion effect, which is a consequence of the law of mass action that may be explained using Le Châtelier’s principle. Consider the dissolution of silver iodide: This solubility equilibrium may be shifted left by the addition of either silver(I) or iodide ions, resulting in...
03:11
Precipitation of Ions
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2020
Predicting Precipitation The equation that describes the equilibrium between solid calcium carbonate and its solvated ions is: It is important to realize that this equilibrium is established in any aqueous solution containing Ca2+ and CO32– ions, not just in a solution formed by saturating water with calcium carbonate. Consider, for example, mixing aqueous solutions of the soluble compounds sodium carbonate and calcium nitrate. If the concentrations of calcium and carbonate ions in the mixture...
FAQs
Pressure, temperature, and particle density determine which recombination pathway dominates and how quickly charge is removed. Changes in these conditions affect collision frequency and energy transfer, altering the relative importance of radiative, dissociative, or three-body recombination. Accounting for these variables lets engineers connect recombination rates with expected charge decay and the behavior of an ionized gas.
Coulomb attraction draws oppositely charged particles toward one another, but proximity alone does not determine the final outcome. Collisions transfer energy, allowing the encounter to produce radiation, dissociation, or involvement of a third body. This distinction between particle attraction and collision-driven energy transfer explains why recombination behavior changes when gas conditions or particle density vary.
As charged-particle populations decline through recombination, the ionized environment changes, affecting its electrical behavior. In engineering analysis, the recombination rate links microscopic particle interactions with macroscopic plasma conductivity and discharge behavior. Modeling that link helps engineers evaluate whether a system will maintain stable operation or show changing electrical performance as charge decays.
Engineers first identify the system's pressure, temperature, and particle density, then determine which recombination mechanisms are plausible under those conditions. They relate the estimated rate to outcomes such as conductivity, discharge behavior, or charge decay. This workflow provides a basis for comparing operating conditions and selecting designs that support stable ionized environments.
Ion recombination is relevant wherever engineers must predict how charge evolves in an ionized environment. Examples include plasma reactors, gas sensors, radiation detectors, and atmospheric electrical models. In each case, recombination analysis can support interpretation of conductivity, discharge behavior, or charge decay, helping connect operating conditions with measurement accuracy and design performance.
Engineering designs must translate particle-scale behavior into dependable system operation. Recombination changes the charge population in an ionized gas, so neglecting its rate can undermine predictions of conductivity, discharge behavior, or charge decay. Including recombination in models supports stable operation, accurate measurements, and improved designs for devices and environments that rely on controlled ionization.