Abstract: Disclosed are super-hydrophobic, super oleophilic membranes comprising a metal mesh comprising copper, a coating comprising a carbohydrate derivative, wherein the carbohydrate derivative is covalently or ionically bonded to a metal mesh surface and methods of preparation thereof. The disclosed membranes are useful for wastewater treatment in the oil industry, in particular for oil/water separation processes.

Abstract: A super-hydrophilic membrane comprising a metal mesh comprising copper and a coating comprising copper(I) iodide crystals and a method of preparation thereof are disclosed. The membranes provided by the invention have improved physical properties, such as super-hydrophilicity as well as underwater oleophobicity, and are specifically adapted for oil/water separation processes.

Abstract: A method for preparing a super-hydrophobic membrane by cleaning a metal mesh by immersion in an organic solvent; subjecting the cleaned metal mesh to a surface modification treatment to increase its hydrophilicity; coating the treated metal mesh with a hydrophobic organic substance; and drying the metal coated mesh for obtaining the super-hydrophobic membrane. The super-hydrophobic membrane obtained thereby.

Abstract: An electronic device for discriminating, identifying and analyzing liquid, semi-liquid and solid samples containing volatile components, by performing simultaneous evaluation of odor and taste of the samples, the device having a closable and thermally stable chamber wherein the sample to be analyzed is placed, the chamber including, in direct contact with the sample, a set of electronic sensors for sensing a non-vapor phase of the sample, a second set of sensors for sensing a vapor phase of the sample and humidity and temperature sensors, with the signals from the sensors being processed and sent to a computing platform comprising a pattern-recognizing program and/or a multivaried-data analysis program.