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    Development of highly sensitive and selective bisphenol A sensor based on a cobalt phthalocyanine-modified carbon paste electrode: application in dairy analysis


    Jemmeli, Dhouha, Dridi, Chérif, Abbas, Mohammed Nooredeen and Dempsey, Eithne (2021) Development of highly sensitive and selective bisphenol A sensor based on a cobalt phthalocyanine-modified carbon paste electrode: application in dairy analysis. Analytical Methods, 13 (39). pp. 4674-4682. ISSN 1759-9660

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    Abstract

    The development of an accurate, sensitive and selective sensor for the detection of bisphenol A (BPA) based on the incorporation of a new phthalocyanine derivative, cobalt phthalocyanine, C,C,C,C-tetracarboxylic acid-polyacrylamide (CoPc-PAA) into a carbon-paste matrix is presented using voltammetry and constant potential techniques. The influence of measuring parameters such as pH and scan rate on the analytical performance of the sensor was evaluated. Several kinetic parameters such as electron transfer number (n), charge transfer coefficient (a), electrode surface area (A) and diffusion coefficient (D) were also calculated. Under optimum conditions, particularly at pH 7.2, the BPA sensor resulted in a wide linear range from 25x10x11M to 2.5 x 10 x 7M and a limit of detection as low as 63.5 pM. Based on these findings, it can be concluded that our sensor can be substantially utilized for detecting BPA in spiked milk samples
    Item Type: Article
    Additional Information: Cite as: Jemmeli, D., Dridi, C., Abbas, M.N. & Dempsey, E. 2021, "Development of highly sensitive and selective bisphenol A sensor based on a cobalt phthalocyanine-modified carbon paste electrode: application in dairy analysis", Analytical methods, vol. 13, no. 39, pp. 4674-4682.
    Keywords: Bisphenol A; Carbon; Charge transfer; Cobalt; Diffusion coefficient; Electrodes; Electron transfer; Mathematical analysis; Milk; Parameters; pH; pH effects; Polyacrylamide; Sensors
    Academic Unit: Faculty of Science and Engineering > Chemistry
    Faculty of Science and Engineering > Research Institutes > Human Health Institute
    Item ID: 17382
    Identification Number: 10.1039/d1ay00827g
    Depositing User: Eithne Dempsey
    Date Deposited: 06 Jul 2023 10:39
    Journal or Publication Title: Analytical Methods
    Publisher: Royal Society of Chemistry
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/17382
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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