|Gencline||Innovative separation and product recovery technologies|
The patented Gencline separation technology is applicable to a broad range of applications involving product recovery, separation, concentration or stratification. The unique process does not involve trapping particles and is generally independent of particle density. As a result, the Gencline process has distinct advantages over conventional methods. Potential applications can involve processing of cells, cellular fragments or components, cell aggregates, proteins and solid particles composed of various substances such as precipitates, crystal particles, rock/sediment. The suspending fluid can have any form including liquid or gas.
The Gencline process is based on obstacle induced preferential diffusion (OIPD). In this process, the mixture or suspension to be separated is forced past an obstacle field. The obstacle field causes a preferential dispersion or migration of the particles so that they are separated from the fluid. In particular, a non-uniform obstacle field has a spatial density that varies in a given direction. For example, consider a flow along an X axis through a field of obstacles whose spatial density increases in the Y direction, i.e., there are more obstacles as one travels in the +Y direction. When a particle encounters an obstacle it is shifted in either the +Y or -Y direction relative to the flow. If the particle is shifted in the +Y direction there is an increased probability of encountering another obstacle and being shifted back to its original path. If the particle is shifted in the -Y direction, there is a decreased probability of the particle encountering an obstacle and being shifted back to its original path. Thus, the particles will tend to migrate in the -Y direction. This migration is referred to as obstacle induced preferential dispersion (OIPD). In addition, the magnitude of the particle path shift from a single obstacle is dependent on the particle properties; therefore, the rate of migration will also be a function of particle characteristics.
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