• Login
    View Item 
    •   Home
    • Research
    • Articles
    • View Item
    •   Home
    • Research
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    Iron Single-Atom Catalysts on MXenes for Ultrasensitive Monitoring of Adrenal Tumor Markers and Cellular Dopamine

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    MS clean version.pdf
    Size:
    1.433Mb
    Format:
    PDF
    Description:
    Accepted Manuscript
    Embargo End Date:
    2024-02-02
    Download
    Thumbnail
    Name:
    SI_clean version.docx
    Size:
    5.724Mb
    Format:
    Microsoft Word 2007
    Description:
    Supplementary material
    Embargo End Date:
    2024-02-02
    Download
    Type
    Article
    Authors
    Shetty, Saptami cc
    El Demellawi, Jehad K. cc
    Khan, Yusuf cc
    Hedhili, Mohamed N. cc
    Arul, Ponnusamy cc
    Mani, Veerappan cc
    Alshareef, Husam N. cc
    Salama, Khaled N. cc
    KAUST Department
    Sensors Lab Advanced Membranes and Porous Materials Center Computer Electrical and Mathematical Science and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia
    Physical Science and Engineering (PSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia
    Core Labs King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia
    Surface Science
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Material Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Electrical and Computer Engineering Program
    Advanced Membranes and Porous Materials Research Center
    Date
    2023-02-02
    Embargo End Date
    2024-02-02
    Permanent link to this record
    http://hdl.handle.net/10754/687483
    
    Metadata
    Show full item record
    Abstract
    Neuroblastoma and pheochromocytoma are the most prevalent malignancies of the adrenal medulla. They are currently diagnosed by measuring urinary catecholamines using high-performance liquid chromatography-mass spectrometry, which is expensive, bulky, and tedious. Electrochemical detectors stand out as low-cost alternatives; however, further development of functional materials with adequate sensitivity is still required to attain clinically useful diagnostic devices. Here, Ti3C2Tx MXene nanosheets stabilized with iron single-atom catalysts (Fe-SACs), anchored on the surface, are synthesized and utilized as efficient electrocatalysts for the determination of catecholamine (dopamine (DA)) and its end-products (vanillylmandelic acid (VMA) and homovanillic acid (HVA)). The Fe-SACs/Ti3C2Tx exhibits low oxidation overpotentials with high signal amplifications up to 610%, 290%, and 420%, and sensitive detection limits of 1.0, 5.0, and 10 nM for DA, VMA, and HVA, respectively. The presence of the atomic Fe elements on the Ti3C2Tx nanosheets is confirmed using high-resolution scanning transmission electron microscopy and X-ray photoelectron spectroscopy. The Fe-SACs/Ti3C2Tx sensor tracks the in situ production of DA in PC12 cells and found practically useful in analyzing human urine samples. The Fe-SACs/Ti3C2Tx stands out as a sensitive diagnostic platform for evaluating the progression of tumors and the quality of cellular DA communications
    Citation
    Shetty, S. S., El-Demellawi, J. K., Khan, Y., Hedhili, M. N., Arul, P., Mani, V., Alshareef, H. N., & Salama, K. N. (2023). Iron Single-Atom Catalysts on MXenes for Ultrasensitive Monitoring of Adrenal Tumor Markers and Cellular Dopamine. Advanced Materials Technologies, 2202069. Portico. https://doi.org/10.1002/admt.202202069
    Sponsors
    This work was supported financially by King Abdullah University of Science and Technology (KAUST), Saudi Arabia. In addition, the authors acknowledge the funding from the KAUST smart health initiative.
    Publisher
    Wiley
    Journal
    Advanced Materials Technologies
    DOI
    10.1002/admt.202202069
    Additional Links
    https://onlinelibrary.wiley.com/doi/10.1002/admt.202202069
    ae974a485f413a2113503eed53cd6c53
    10.1002/admt.202202069
    Scopus Count
    Collections
    Articles; Advanced Membranes and Porous Materials Research Center; 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

    entitlement

     
    DSpace software copyright © 2002-2023  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.