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    Binary transition metal oxide modified laser-scribed graphene electrochemical aptasensor for the accurate and sensitive screening of acute myocardial infarction

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    Binary_Binary transition metal oxide modified laser scribed graphene.pdf
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    1.735Mb
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    Description:
    Accepted manuscript
    Embargo End Date:
    2023-05-01
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    Type
    Article
    Authors
    Rauf, Sakandar cc
    Mani, Veerappan cc
    Ait Lahcen, Abdellatif cc
    Yuvaraja, Saravanan
    Beduk, Tutku
    Salama, Khaled N. cc
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Electrical and Computer Engineering
    Electrical and Computer Engineering Program
    Material Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Sensors Lab
    Sensors Lab, Advanced Membranes & Porous Materials Centre (AMPMC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
    KAUST Grant Number
    KAUST Sensor Initiative
    Date
    2021-05-01
    Online Publication Date
    2021-05-01
    Print Publication Date
    2021-08
    Embargo End Date
    2023-05-01
    Submitted Date
    2020-12-22
    Permanent link to this record
    http://hdl.handle.net/10754/669272
    
    Metadata
    Show full item record
    Abstract
    Laser-scribed graphene (LSG) electrodes have gained significant interest due to the ease in fabrication, surface modification, and potential to develop various types of electrochemical sensors and biosensors. In these studies, a new type of zinc ferrite nanoparticles (ZnFe2O4 NPs) modified LSG electrochemical sensing system comprising LSG-ZnFe2O4 working electrode, LSG reference, and LSG counter electrode on a single polyimide substrate is presented. LSG-ZnFe2O4 electrodes are fabricated by drop-casting a solution of ZnFe2O4 NPs onto the LSG electrode, which gave a 31% enhancement of sensitivity and electrocatalytic activity compared to the bare LSG electrode. LSG-ZnFe2O4 electrochemical aptasensor for acute myocardial infarction (AMI) screening is developed by detecting the cardiac Troponin-I (cTn-I) biomarker. The results show that the developed aptasensor could detect a broad concentration range of cTn-I with a limit of detection of 0.001 ng/mL and a sensitivity of 19.32 (±0.25) µA/(ng/mL). In addition to this, LSG-ZnFe2O4-aptasensor shows higher selectivity towards the detection of cTn-I and negligible cross-reactivity with other interfering biomolecules. Finally, it is demonstrated that LSG-ZnFe2O4-aptasensor can easily detect different concentrations of cTn-I spiked in human serum samples. These results show that the LSG-ZnFe2O4-aptasensor is a promising diagnostic tool to monitor cTn-I and could be a potential candidate to develop point-of-care devices for cTn-I biomarker detection and various other disease biomarkers in the future.
    Citation
    Rauf, S., Mani, V., Lahcen, A. A., Yuvaraja, S., Beduk, T., & Salama, K. N. (2021). Binary transition metal oxide modified laser-scribed graphene electrochemical aptasensor for the accurate and sensitive screening of acute myocardial infarction. Electrochimica Acta, 138489. doi:10.1016/j.electacta.2021.138489
    Sponsors
    The authors would like to express their acknowledgments to the financial support of funding from King Abdullah University of Science and Technology (KAUST), Saudi Arabia. Also, we thank the KAUST Sensor Initiative for supporting this work. In addition, we would like to thank Dr. Govindasamy Mani for his valuable suggestions regarding material synthesis.
    Publisher
    Elsevier BV
    Journal
    Electrochimica Acta
    DOI
    10.1016/j.electacta.2021.138489
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S0013468621007799
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.electacta.2021.138489
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Material Science and Engineering Program; Sensors Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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