Abstract: A method of assessing concentration of analyte ion(s) in a liquid can include contacting the liquid with a plurality of electrodes, each of which is configured to generate a signal in response to sensing a selected ion in the liquid. The signal received from each of the electrodes can be processed using a neural network algorithm trained to calculate ion interference between the selected ion and other ions in the liquid sensed at one of the electrodes and/or electrode interference between ones of the electrodes sensing a same selected ion based on a result of a comparison of training data. The ion interference and/or electrode interference can be compensated for, and the concentration of the analyte ion(s) in the liquid can be assessed on the basis of a compensated output from the neural network algorithm.

Abstract: The present invention relates to modified clay sorbents which may be used as sorbents for chemical compounds. In addition, the present invention also relates to the use of modified clay sorbents for the sorption of chemical compounds. The modified clay sorbents of the present invention have particular application for the sorption of anionic and/or hydrophobic compounds.

Abstract: Disclosed herein are methods for the detection and/or quantification of anionic surfactants. Also disclosed herein are test kits, which utilize the disclosed methods, to estimate the anionic surfactant concentration in samples, such as environmentally-derived samples. In some specific embodiments, the method and the test kit may be used to detect, among other things, aqueous film forming foams that comprise anionic surfactants.

Abstract: The present invention relates to a method of assessing concentration of at least one analyte ion in a liquid, the method including contacting the liquid with a plurality of electrodes, each of which is configured to generate a signal in response to sensing a selected ion in the liquid; receiving the signal from each of the electrodes; processing the signal from each of the electrodes using a neural network algorithm residing on a processor that has been trained to calculate ion interference between the selected ion and other ions in the liquid sensed at one of the electrodes and/or electrode interference between ones of the electrodes sensing a same selected ion based on a result of a comparison of training data indicative of a known ionic concentration applied to the neural network algorithm and the known ionic concentration; compensating for said ion interference and/or said electrode interference; and assessing the concentration of the at least analyte ion in the liquid on the basis of a compensated output

Abstract: Disclosed herein are methods for the detection and/or quantification of anionic surfactants. Also disclosed herein are test kits, which utilize the disclosed methods, to estimate the anionic surfactant concentration in samples, such as environmentally-derived samples. In some specific embodiments, the method and the test kit may be used to detect, among other things, aqueous film forming foams that comprise anionic surfactants.

Abstract: The present invention relates to modified clay sorbents which may be used as sorbents for chemical compounds. In addition, the present invention also relates to the use of modified clay sorbents for the sorption of chemical compounds. The modified clay sorbents of the present invention have particular application for the sorption of anionic and/or hydrophobic compounds.

Abstract: Disclosed herein are methods for the detection and/or quantification of anionic surfactants. Also disclosed herein are test kits, which utilize the disclosed methods, to estimate the anionic surfactant concentration in samples, such as environmentally-derived samples. In some specific embodiments, the method and the test kit may be used to detect, among other things, aqueous film forming foams that comprise anionic surfactants.

Abstract: A system and method for removal of uranium and other contaminants from aqueous solution, utilizing live algae, are described. The system includes a bioreactor, in which a reaction mixture of live algae, preferably photosynthetic algae, and contaminated solution are introduced; a means for introducing carbon dioxide gas in the reaction mixture; a means for exposing the reaction mixture to light; means for mixing and impelling the reaction mixture; and means for separating out algae from remediated solution.

Abstract: A system and method for removal of uranium and other contaminants from aqueous solution, utilizing live algae, are described. The system includes a bioreactor, in which a reaction mixture of live algae, preferably photosynthetic algae, and contaminated solution are introduced; a means for introducing carbon dioxide gas in the reaction mixture; a means for exposing the reaction mixture to light; means for mixing and impelling the reaction mixture; and means for separating out algae from remediated solution.

Abstract: A system and method for removal of uranium and other contaminants from aqueous solution, utilizing live algae, are described. The system includes a bioreactor, in which a reaction mixture of live algae, preferably photosynthetic algae, and contaminated solution are introduced; a means for introducing carbon dioxide gas in the reaction mixture; a means for exposing the reaction mixture to light; means for mixing and impelling the reaction mixture; and means for separating out algae from remediated solution.

Abstract: A system and method for removal of uranium and other contaminants from aqueous solution, utilizing live algae, are described. The system includes a bioreactor, in which a reaction mixture of live algae, preferably photosynthetic algae, and contaminated solution are introduced; a means for introducing carbon dioxide gas in the reaction mixture; a means for exposing the reaction mixture to light; means for mixing and impelling the reaction mixture; and means for separating out algae from remediated solution.