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dc.contributor.authorGhanam, Abdelghani
dc.contributor.authorAit Lahcen, Abdellatif
dc.contributor.authorBeduk, Tutku
dc.contributor.authorAlshareef, Husam N.
dc.contributor.authorAmine, Aziz
dc.contributor.authorSalama, Khaled N.
dc.date.accessioned2020-08-20T06:57:03Z
dc.date.available2020-08-20T06:57:03Z
dc.date.issued2020-08-19
dc.date.submitted2020-06-06
dc.identifier.citationGhanam, A., Lahcen, A. A., Beduk, T., Alshareef, H. N., Amine, A., & Salama, K. N. (2020). Laser scribed graphene: A novel platform for highly sensitive detection of eletroactive biomolecules. Biosensors and Bioelectronics, 112509. doi:10.1016/j.bios.2020.112509
dc.identifier.issn0956-5663
dc.identifier.doi10.1016/j.bios.2020.112509
dc.identifier.urihttp://hdl.handle.net/10754/664689
dc.description.abstractLaser-scribed graphene electrodes (LSGEs) have recently shown a potential for the development of electrochemical biosensors thanks to their electronic properties, porous structures, and large surface area that can support the charge transfer. In this paper, the authors present a comparative study of the electrochemical performances of LSGEs with the conventional screen-printed carbon electrodes (SPCEs) toward the detection of most commonly used phenolic compounds and biomolecules. Cyclic voltammetry measurements showed a significant enhancement in the electron transfer rate of all tested electroactive species at LSGEs compared to conventional SPCE. We have suggested, for the first time, a mechanistic study for catecholamine redox reactions at LSGE as the electron transfer–chemical reaction–electron transfer mechanism. Moreover, the excellent performances of LSGE were observed in terms of the electrocatalytic detection of paracetamol (PCM). Therefore, the second part of this study compared the analytical performances of LSGE and SPCE with respect to the detection of PCM. The LSGE allows a fast and reversible system for PCM with a low ΔEp of 88 mV while the SPCE exhibits a quasi-reversible system with a higher ΔEp of 384 mV. The LSGE demonstrated a PCM linear range of concentration between 0.1 μM and 10 μM, with a detection limit of 31 nM. In addition, the LSGE showed a successful applicability with good selectivity and sensitivity for PCM determination in real samples of pharmaceutical tablets. Hence, LSGEs could be an excellent platform for simple and low-cost electrochemical biosensor applications.
dc.description.sponsorshipThe authors would like to express their acknowledgements to the financial support of funding from King Abdullah University of Science and Technology (KAUST), Saudi Arabia. Also, we thank the KAUST Sensor Initiative and KAUST Visiting Student Program for supporting this work. In addition, we would like to thank Dr Sakandar Rauf, Dr Veerappan Mani, Dr Sandeep G. Surya and Saravanan Yuvaraja for their suggestions and comments.
dc.publisherElsevier BV
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S0956566320305017
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Biosensors and Bioelectronics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Biosensors and Bioelectronics, [, , (2020-08-19)] DOI: 10.1016/j.bios.2020.112509 . © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleLaser scribed graphene: A novel platform for highly sensitive detection of eletroactive biomolecules
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentFunctional Nanomaterials and Devices Research Group
dc.contributor.departmentMaterial Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentSensors Lab
dc.contributor.departmentSensors Lab, Advanced Membranes and Porous Materials Center, Computer Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
dc.identifier.journalBiosensors and Bioelectronics
dc.rights.embargodate2022-08-19
dc.eprint.versionPost-print
dc.contributor.institutionChemical Analysis and Biosensors Group, Laboratory of Process Engineering and Environment, Faculty of Science and Techniques, Hassan II University of Casablanca, B.P 146, Mohammedia, Morocco.
dc.identifier.pages112509
kaust.personLahcen, Abdellatif Ait
kaust.personBeduk, Tutku
kaust.personAlshareef, Husam N.
kaust.personSalama, Khaled N.
dc.date.accepted2020-08-09
refterms.dateFOA2020-08-20T06:57:49Z
dc.date.published-online2020-08-19
dc.date.published-print2020-11


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