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59 results about "Perfluorinated compound" patented technology

A perfluorinated compound (PFC) per- or polyfluoroalkyl chemical is an organofluorine compound containing only carbon-fluorine bonds (no C-H bonds) and C-C bonds but also other heteroatoms. PFCs, also known as perfluorinated chemicals, have properties that represent a blend of fluorocarbons (containing only C-F and C-C bonds) and the parent functionalized organic species. For example, perfluorooctanoic acid functions as a carboxylic acid but with strongly altered surfactant and hydrophobic characteristics. Fluorosurfactants are ubiquitously used in teflon, water resistant textiles and fire-fighting foam.

Method for adsorbing and degrading perfluorinated compounds in water

The invention discloses a method for adsorbing and degrading PFCs. The method comprises the steps that a material capable of adsorbing the PFCs is utilized for adsorbing the PFCs in water, the water contains the PFCs, and a method for obtaining the material capable of adsorbing the PFCs comprises the steps that activated carbon is put in a potassium salt solution to be steeped for 1-3 days, the mass ratio of potassium salt to the activated carbon is 0.5 to 1.5, the potassium salt is selected from at least one of K2CO3 and KOH, high temperature activation is conducted on the steeped activated carbon to obtain an activated product, the temperature of high temperature activation ranges from 800 DEG C to 1000 DEG C, the high temperature activation time ranges from one hour to two hours, and the activated product is washed through high purity water; 2, the material which is obtained in the first step and is capable of adsorbing the PFCs is put in a persulfate solution so as to degrade the PFCs on the material capable of adsorbing the PFCs, and the persulfate solution is selected from at least one of ammonium persulfate, potassium persulfate and sodium persulfate. By means of the method, the material achieving effective regenerative adsorption of the PFCs can be obtained, the PFCs adsorbed by the material can be degraded, and innoxious treatment of the PFCs is achieved.
Owner:TSINGHUA UNIV

BP neural network and MPSO algorithm-based aluminium electrolysis energy-saving and emission-reduction control method

The invention provides a BP neural network and MPSO algorithm-based aluminum electrolysis energy-saving and emission-reduction control method. Firstly, the modeling is conducted for the aluminum electrolysis production process based on the BP neural network. After that, based on the multi-objective particle swarm optimization (MPSO) algorithm, the model for the aluminum electrolysis production process is optimized to obtain a group of optimal solutions for each of all decision variables, the current efficiency, the energy consumption per ton of aluminum and the discharge of perfluorinated compounds corresponding to the group of optimal solutions. No crossover or mutation operation is required for the MPSO algorithm, so that the coding process is simple and easy in implementation. Meanwhile, compared with other algorithms, the MPSO algorithm has memory. In this way, not only a global optimal value and a local optimal value are retained, but also the optimal value integrity during the group evolution process is ensured. Based on the above method, the process parameters of the aluminum electrolysis production process are ensured to be optimal, and the current efficiency is effectively improved. The energy consumption per ton of aluminum is lowered, and the greenhouse gas emission load is reduced. The purposes of energy saving and emission reduction are really realized.
Owner:CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY

Processing method for high-efficiency polyester nonwoven thermal insulation material

ActiveCN102965911AContinuous productionDrying without supercritical technologyFibre typesPolyesterWater discharge
The invention discloses a processing method for a high-efficiency polyester nonwoven thermal insulation material, comprising the following steps: (1) carrying out aminolysis modification treatment on a polyester nonwoven fabric, and dewatering to form into the polyester nonwoven fabric which is carried out by aminolysis and modification with 40%-80% of mangle expression; (2) putting the polyester nonwoven fabric which is carried out by aminolysis and modification with 40%-80% of mangle expression into sol working solution to carry out an impregnation technology; and (3) adding 5%-10% (volume fraction) of perfluorinated compound into the working solution of the impregnation technology to improve the spontaneous water discharge capability of a capillary tube when the gel formed by the impregnation technology is dried, replacing the self removal of the solvent by nonpolar solvent through solvent, and drying in the manner of stepped heating and drying to obtain the high-efficiency polyester nonwoven thermal insulation material. According to the processing method, due to the technical means of the in-situ gelation, the problem that the fiber and the gel cannot be completely combined and easy to have the mechanical defect can be overcome, and the mechanical property of the thermal insulation material can be improved.
Owner:福建鑫华股份有限公司

Method for determining total fluorine compound precursor substances in atmospheric particulate matter sampling filter membrane

The invention provides a method for determining total fluorine compound precursor substances in an atmospheric particulate matter sampling filter membrane; the method comprises the following steps of1) extracting a sample: carrying out ultrasonic extraction on the atmospheric particulate matter sampling filter membrane, and collecting to obtain an extracting solution; 2) purification of the sample: carrying out purifying, concentrating and purifying on the extracting solution obtained in the step 1) to obtain a sample detection solution; and 3) determination of the sample: detecting the sample detection solution obtained in the step 2) by adopting an ultra-high performance liquid phase chromatography-triple quadrupole series mass spectrometer, and obtaining the content of the total fluorine compound precursor substance by adopting an internal standard method. The invention belongs to the technical field of environmental monitoring, and by virtue of the provided measurement method, full extraction and measurement of six kinds of total fluorine compound precursor substances, such as 4:2FTS and the like in the atmospheric particulate matter sampling filter membrane can be realized, the separation effect is good, and the detection efficiency is improved; and the method has the advantages of being accurate in measurement result, high in repeatability, high in sensitivity, high in recovery rate, low in detection limit, high in substrate interference resistance and the like.
Owner:SUN YAT SEN UNIV

Energy saving and emission reduction control method for aluminum electrolysis based on bp neural network and mpso algorithm

The invention provides a BP neural network and MPSO algorithm-based aluminum electrolysis energy-saving and emission-reduction control method. Firstly, the modeling is conducted for the aluminum electrolysis production process based on the BP neural network. After that, based on the multi-objective particle swarm optimization (MPSO) algorithm, the model for the aluminum electrolysis production process is optimized to obtain a group of optimal solutions for each of all decision variables, the current efficiency, the energy consumption per ton of aluminum and the discharge of perfluorinated compounds corresponding to the group of optimal solutions. No crossover or mutation operation is required for the MPSO algorithm, so that the coding process is simple and easy in implementation. Meanwhile, compared with other algorithms, the MPSO algorithm has memory. In this way, not only a global optimal value and a local optimal value are retained, but also the optimal value integrity during the group evolution process is ensured. Based on the above method, the process parameters of the aluminum electrolysis production process are ensured to be optimal, and the current efficiency is effectively improved. The energy consumption per ton of aluminum is lowered, and the greenhouse gas emission load is reduced. The purposes of energy saving and emission reduction are really realized.
Owner:CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY

Optimization method for energy conservation and emission reduction of aluminum electrolysis based on decision maker preference information

The invention discloses an optimization method for energy conservation and emission reduction of aluminum electrolysis based on decision maker preference information. Firstly, a recursive neural network is used to model an aluminum electrolysis production process, and then a decision maker sets a desired target value, an R-dominance preference dominance method is introduced, a multi-objective quantum particle swarm algorithm is combined to optimize a production process model, and an optimal decision variable that best meets the expectation of the decision maker, and the corresponding current efficiency, cell voltage, perfluorinated compound emissions and the energy consumption per ton of aluminum are further obtained. The MQPSO algorithm does not need to perform crossover and mutation operations, and only requires the simplest location update step, so that the encoding process is simple, a strong global search capability is realized, the integrity of a preference optimal value in the process of population evolution can be easily implemented, and the needs of the decision maker can be met. By using the method to determine the optimal value of process parameters in the aluminum electrolysis production process, the current efficiency can be effectively improved, the cell voltage can be reduced, the greenhouse gas emissions and the energy consumption per ton of aluminum can be reduced, and the purpose of energy conservation and emission reduction can be achieved.
Owner:CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY

Differential evolution aluminum electrolysis multi-objective optimization method based on AR preference information

The present invention provides a differential evolution aluminum electrolysis multi-objective optimization method based on AR preference information. The method comprises the steps of: employing a recurrent neural network to perform modeling of an aluminum electrolysis production process, setting an expected target value by a decider, employing a preference multi-objective quantum individual groupalgorithm to perform optimization of a production process model to obtain one set of optimal solutions, which the best meet the decider's expectation, of each decision variable, and current efficiencies, cell voltages, perfluorinated compound discharge and ton aluminum energy consumption corresponding to the optimal solutions. The variation, intersection and selection operation in a differentialevolution algorithm are employed to perform preference optimizing of decision variables to determine optimal values of process parameters in the aluminum electrolysis production process so as to effectively improve the current efficiency, reduce the cell voltages, reduce the greenhouse gas emissions and ton aluminum energy consumption and achieve the purpose of energy conservation and emission reduction while meeting the decider's preference.
Owner:CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY

Method for recovering perfluorinated compounds from sewage

A method for recovering perfluorinated compound from sewage, which comprises the following steps: an electric flocculation step, using an electric flocculation method to adsorb the perfluorinated compound in an aqueous solution or a water-organic solvent mixed solution onto the surface of flocs produced by electric flocculation to form sludge; an elution step, carrying out an organic solvent elution treatment on the above-mentioned sludge containing perfluorinated compound to separate the perfluorinated compound from the sludge and form a concentrated perfluorinated compound solution; and a distillation step, distilling the produced concentrated perfluorinated compound solution to obtain perfluorinated compound solids and a distillate, the distillate being used as an elution liquid of the above-mentioned elution step. Zn(OH)2 flocs produced in situ by electric flocculation have a very high adsorption capacity and a fast adsorption rate for the perfluorinated compound and can recover high-concentration and low-concentration perfluorinated compounds from sewage and purify the sewage simultaneously. Since the electric flocculation treatment has low costs and low sludge production amount, the large-scale application of the method is economically feasible.
Owner:BEIJING NORMAL UNIVERSITY

Optimization method for energy saving and emission reduction of aluminum electrolysis based on decision maker preference information

The invention discloses an optimization method for energy conservation and emission reduction of aluminum electrolysis based on decision maker preference information. Firstly, a recursive neural network is used to model an aluminum electrolysis production process, and then a decision maker sets a desired target value, an R-dominance preference dominance method is introduced, a multi-objective quantum particle swarm algorithm is combined to optimize a production process model, and an optimal decision variable that best meets the expectation of the decision maker, and the corresponding current efficiency, cell voltage, perfluorinated compound emissions and the energy consumption per ton of aluminum are further obtained. The MQPSO algorithm does not need to perform crossover and mutation operations, and only requires the simplest location update step, so that the encoding process is simple, a strong global search capability is realized, the integrity of a preference optimal value in the process of population evolution can be easily implemented, and the needs of the decision maker can be met. By using the method to determine the optimal value of process parameters in the aluminum electrolysis production process, the current efficiency can be effectively improved, the cell voltage can be reduced, the greenhouse gas emissions and the energy consumption per ton of aluminum can be reduced, and the purpose of energy conservation and emission reduction can be achieved.
Owner:CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY

Perfluorinated compounds for non-viral transfer of nucleic acids

The present invention relates to the compound of general formula (I): A-B-C (F, G')-D-E-F-G-A' or the compound of general formula (II): A-B-C (F ', G')-D-B-E-F-G-A' (II), wherein -A is at least one selected from perfluorocarbons (PFCs), perfluorinated silicon compounds and / or Molecules in the group of further perfluorinated compounds, -B is at least one predetermined breaking point in the form of a physically, chemically or enzymatically cleavable bond, -C is absent or is at least one linking molecule, -D is absent or is at least one spacer Molecule, -E is at least one member selected from the group consisting of nucleobases, nucleosides, nucleotides, oligonucleotides, nucleic acids, modified nucleobases, modified nucleosides, modified nucleotides, modified oligonucleotides , modified nucleic acids, peptide nucleic acid monomers, peptide nucleic acid oligomers and peptide nucleic acids or other nucleic acid analogues in the group of molecules, -F, F' is absent or is at least one ligand, -G, G' is absent Or be at least one marker molecule, -A' does not exist or is the meaning of A, and wherein compounds i), ii), iii), iv), v), vi) are excepted. The present invention also relates to the use of said compound for the non-viral transfer of molecule E into cells, the pharmaceutical composition containing said compound, and the use of said pharmaceutical composition.
Owner:康斯坦策·沙费尔 +1
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