Recent advancement in sensitive detection of carcinoembryonic antigen using nanomaterials based immunosensors

Bazilah Awang Abd Manaf, Shyang Pei Hong, Mohammad Rizwan, Fareeha Arshad, Christopher Gwenin, Minhaz Uddin Ahmed

    Research output: Contribution to journalArticlepeer-review

    27 Citations (Scopus)
    158 Downloads (Pure)

    Abstract

    Carcinoembryonic antigen (CEA) is a prominent cancer biomarker that allows for early diagnosis of various cancers. Present immunoassays techniques help quantify such target molecules in test samples via anti-antibody reaction. Despite their rapid usage, conventional immunoassay techniques demonstrate several limitations that can be easily overcome by employing nanomaterials in sensing assays. Thus, nanomaterial-based immunosensors have gained steady attention from the scientific community owing to their high specificity and low detection limit. Various nanomaterials like platinum, gold, silver and carbon exhibit exceptional properties have allowed promising results in the detection and diagnostics of CEA. Thus, the present review aims to explore the significance and the recent developments of nanomaterial-based biosensors for detecting CEA biomarkers with high sensitivity, selectivity, and specificity. After a brief introduction, we discussed the fundamentals of immunosensors immobilization strategies and common nanomaterials. In the next section, we highlighted the recent advances in the common immunosensors detection approaches for CEA alone and simultaneous detection of CEA with other biomarkers detection. Finally, we concluded the review by discussing the future perspectives of this promising field of biomarkers detection.
    Original languageEnglish
    Article number102596
    Number of pages17
    JournalSurfaces and Interfaces
    Volume36
    Early online date23 Dec 2022
    DOIs
    Publication statusPublished - 1 Feb 2023

    Keywords

    • Carcinoembryonic antigen
    • Noble nanomaterials
    • Carbon nanomaterials
    • Biosensors
    • Immunosensor
    • Detection techniques

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