dc.creator | Balkourani G., Damartzis T., Brouzgou A., Tsiakaras P. | en |
dc.date.accessioned | 2023-01-31T07:35:33Z | |
dc.date.available | 2023-01-31T07:35:33Z | |
dc.date.issued | 2022 | |
dc.identifier | 10.3390/s22010355 | |
dc.identifier.issn | 14248220 | |
dc.identifier.uri | http://hdl.handle.net/11615/71084 | |
dc.description.abstract | The high conductivity of graphene material (or its derivatives) and its very large surface area enhance the direct electron transfer, improving non-enzymatic electrochemical sensors sensitivity and its other characteristics. The offered large pores facilitate analyte transport enabling glucose detection even at very low concentration values. In the current review paper we classified the enzymeless graphene-based glucose electrocatalysts’ synthesis methods that have been followed into the last few years into four main categories: (i) direct growth of graphene (or oxides) on metallic substrates, (ii) in-situ growth of metallic nanoparticles into graphene (or oxides) matrix, (iii) laser-induced graphene electrodes and (iv) polymer functionalized graphene (or oxides) electrodes. The increment of the specific surface area and the high degree reduction of the electrode internal resistance were recognized as their common targets. Analyzing glucose electrooxidation mechanism over Cu-Co-and Ni-(oxide)/graphene (or derivative) electrocatalysts, we deduced that glucose electrochemical sensing properties, such as sensitivity, detection limit and linear detection limit, totally depend on the route of the mass and charge transport between metal(II)/metal(III); and so both (specific area and internal resistance) should have the optimum values. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. | en |
dc.language.iso | en | en |
dc.source | Sensors | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122107524&doi=10.3390%2fs22010355&partnerID=40&md5=dbe79326c593bc9e91d498466bd483ea | |
dc.subject | Cobalt compounds | en |
dc.subject | Copper oxides | en |
dc.subject | Cost effectiveness | en |
dc.subject | Electrocatalysts | en |
dc.subject | Electrochemical electrodes | en |
dc.subject | Electrochemical sensors | en |
dc.subject | Electrooxidation | en |
dc.subject | Glucose | en |
dc.subject | Graphene | en |
dc.subject | Graphite electrodes | en |
dc.subject | Metals | en |
dc.subject | Nanostructured materials | en |
dc.subject | Reduction | en |
dc.subject | Substrates | en |
dc.subject | Synthesis (chemical) | en |
dc.subject | Cobalt oxide nanomaterial | en |
dc.subject | Copper oxide nanomaterial | en |
dc.subject | Direct growth | en |
dc.subject | Functionalized | en |
dc.subject | Glucose electrooxi-dation mechanism | en |
dc.subject | Graphene-based nanomaterial | en |
dc.subject | In-situ growth | en |
dc.subject | Laser induced | en |
dc.subject | Nickel oxide nanomaterial | en |
dc.subject | Polymer functionalized | en |
dc.subject | Reduced graphene oxides | en |
dc.subject | Nickel oxide | en |
dc.subject | glucose | en |
dc.subject | graphite | en |
dc.subject | nanomaterial | en |
dc.subject | oxide | en |
dc.subject | cost benefit analysis | en |
dc.subject | electrochemical analysis | en |
dc.subject | electrode | en |
dc.subject | genetic procedures | en |
dc.subject | Biosensing Techniques | en |
dc.subject | Cost-Benefit Analysis | en |
dc.subject | Electrochemical Techniques | en |
dc.subject | Electrodes | en |
dc.subject | Glucose | en |
dc.subject | Graphite | en |
dc.subject | Nanostructures | en |
dc.subject | Oxides | en |
dc.subject | MDPI | en |
dc.title | Cost Effective Synthesis of Graphene Nanomaterials for Non-Enzymatic Electrochemical Sensors for Glucose: A Comprehensive Review | en |
dc.type | other | en |