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Electroactive biochar outperforms highly conductive carbon materials for biodegrading pollutants by enhancing microbial extracellular electron transfer

Authors :
Universidad de Alicante. Departamento de Química Física
Universidad de Alicante. Instituto Universitario de Materiales
Prado, Amanda
Berenguer Betrián, Raúl
Esteve-Núñez, Abraham
Universidad de Alicante. Departamento de Química Física
Universidad de Alicante. Instituto Universitario de Materiales
Prado, Amanda
Berenguer Betrián, Raúl
Esteve-Núñez, Abraham
Publication Year :
2019

Abstract

The development and full-scale application of microbial electrochemical technologies (METs) for wastewater treatment demand massive amounts of electroconductive carbon materials to promote extracellular electron transfer (EET) and biodegradation. While the potential capability of these materials and their properties to design efficient systems is still in their infancy, the state-of-the-art METs are based on highly-conductive fossil-derived carbons. In this work we evaluate the performance of different electroconductive carbon materials (graphite, coke, biochar) for supporting microbial EET and treating urban wastewater. Our results reveal that the electroconductive biochar was the most efficient biofilter-material, enabling to stimulate bioremediation at anodic potential as high as 0.6 V (maximum removal efficiency (92%) and degradation rate (185 g-COD m−3d−1)), and to fulfill the discharge limits under conditions where the other materials failed. A deep materials characterization suggests that, despite electroconductivity is necessary, the optimal EET on biochar can be mainly assigned to its large number of electroactive surface oxygen functionalities, which can reversibly exchange electrons through the geobattery mechanism. We propose the modulation of quinone-like e-acceptors by anodic polarization to promote the biodegradation capability of carbon materials. Because of its great efficiency and sustainability, electroactive biochar will greatly expand the applicability of METs at large scale.

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1088302371
Document Type :
Electronic Resource