A monitorable and renewable pollution filter based on graphene nanoplatelets.

Abstract

The paper deals with the fabrication, modeling and experimental characterization of a monitorable and renewable graphene-based pollution filter. The main goal is that of demonstrating a method able to monitor in real time the status of such a filter during its operating phases: pollutant adsorption, saturation, and regeneration. The filter is realized by a disk of pressed graphene nanoplatelets. This is a low-cost type of graphene which has recently drawn a great interest due to its potential use in large scale industrial production. Here the nanomaterial is obtained through the exfoliation method assisted by microwave irradiation, by exploiting the thermal expansion of commercial intercalated graphite, according to a low-cost and ecologically friendly procedure. The filter is here used to adsorb acetonitrile, a toxic water-soluble organic compound that is present in some industrial solvents and paints. The monitoring method is based on the interpretation of the time variation of the electrical impedance measured during the filter operating. Two are the main results of the paper. From one side, the graphene filter is shown to be effective in adsorbing the above pollutant, with the additional feature to be fully renewable: all the pollutant is removed from the filter without the need of costly physical or chemical processes. From the other side, the monitoring of the time-evolution of the electrical impedance allows an efficient detection of the different phases of the filter life cycle: clean, polluted, saturated and regenerated. This feature is of potential interest since it enables the predictive maintenance of such filters.