Sorry, you need to enable JavaScript to visit this website.

A monitorable and renewable pollution filter based on graphene nanoplatelets

TitoloA monitorable and renewable pollution filter based on graphene nanoplatelets
Tipo di pubblicazioneArticolo su Rivista peer-reviewed
Anno di Pubblicazione2020
AutoriFerrigno, L., Cataldo Antonino, Sibilia S., Maffucci A., and Bellucci S.
Parole chiaveCosts, Electric Impedance, Electric impedance measurement, Electrical characterization, Experimental characterization, Graphene, Graphene nanoplatelets, Impedance analysis, Industrial production, Intercalated graphite, Microwave irradiation, monitoring, Organic solvents, Pollution detection, Predictive maintenance, Thermal expansion, Water soluble organic compounds

This paper deals with the fabrication, modeling and experimental characterization of a monitorable and renewable graphene-based pollution filter. The main goal is to demonstrate a method to monitor the status of such a filter in real time 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 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 used here 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 filter operation. There are two main results of the paper: Firstly, the graphene filter is shown to be effective in adsorbing the above pollutant, with the additional feature of being fully renewable: all the pollutant can be removed from the filter without the need of costly physical or chemical processes. Secondly, monitoring of the time-evolution of the electrical impedance allows 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. © 2019 IOP Publishing Ltd.


cited By 4

Citation KeyFerrigno2020