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Combined treatment method for sodium chloride-containing wastewater generated in dressing and smelting of rare earth

The invention relates to a combined treatment method for sodium chloride-containing wastewater generated in dressing and smelting of rare earth. According to the method, a series of desalination and concentration treatments such as deoiling, neutralizing, homogenizing, aeration, flocculation, ultrafiltration, nanofiltration, reverse osmosis, electroosmosis and MVR (mitral valve replacement) concentration are carried out on the wastewater, so that recyclable purified water is obtained; ammonium bicarbonate is added into the sodium chloride extracted from the wastewater, so that the sodium salt can be converted and regenerated into sodium bicarbonate, sodium carbonate and ammonium chloride products for dressing and smelting of the rare earth. According to the method, the recovery rate of the wastewater is high, the effluent quality is stable, the conversion rate of the sodium salt is high, and no three wastes are discharged; production equipment is compact, simple to operate, and easy to realize automation control; the problem that the sodium chloride-containing wastewater and other similar industrial wastewater generated in dressing and smelting of rare earth are difficult to recycle is solved.
Owner:YANSHAN UNIV

Using knowledge pattern search and learning for selecting microorganisms

This invention is to use knowledge pattern learning and search system for selecting microorganisms to produce useful materials and to generate clean energy from wastes, wastewaters, biomass or from other inexpensive sources. The method starts with an in silico screening platform which involves multiple steps. First, the organisms' profiles are compiled by linking the massive genetic and chemical fingerprints in the metabolic and energy-generating biological pathways (e.g. codon usages, gene distributions in function categories, etc.) to the organisms' biological behaviors. Second, a machine learning and pattern recognition system is used to group the organism population into characteristic groups based on the profiles. Lastly, one or a group of microorganisms are selected based on profile match scores calculated from a defined metabolic efficiency measure, which, in term, is a prediction of a desired capability in real life based on an organism's profile. In the example of recovering clean energy from treating wastewaters from food process industries, domestic or municipal wastes, animal or meat-packing wastes, microorganisms' metabolic capabilities to digest organic matter and generate clean energy are assessed using the invention, and the most effective organisms in terms of waste reduction and energy generation are selected based on the content of a biowaste input and a desired clean energy output. By selecting a microorganism or consortia of multiply microorganisms using this method, one can clean the water and also directly generate electricity from Microbial Fuel Cells (MFC), or hydrogen, methane or other biogases from microorganism fermentation. In addition, using similar screening method, clean hydrogen can be recovered first from an anaerobic fermentation process accompanying the wastewater treatment, and the end products from the fermentation process can be fed into a Microbial Fuel Cell (MFC) process to generate clean electricity and at the same time treat the wastewater. The invention can be used to first select the hydrogenic microorganisms to efficiently generate hydrogen and to select electrogenic organisms to convert the wastes into electricity. This method can be used for converting wastes to one or more forms of renewable energies.
Owner:QUANTUM INTELLIGENCE
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