2024 : 5 : 5
Abdollah Salimi

Abdollah Salimi

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 57198900488
Faculty: Faculty of Science
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Research

Title
Construction of a ternary nano-architecture based graphene oxide sheets, toward electrocatalytic determination of tumor-associated anti-p53 autoantibodies in human serum
Type
JournalPaper
Keywords
Electrochemical biosensor Graphene oxide Ni(OH)2 nanoparticles Horseradish peroxidase anti-p53 autoantibody
Year
2021
Journal TALANTA
DOI
Researchers Bahareh Feyzi-barnaji ، Rassoul Dinarvand ، Hamid Salehzadeh ، Elham Arkan ، Abdollah Salimi ، Fatemeh Nili ، Ali Mohammadi

Abstract

Almost 13% of all death in the world is related to cancer. One of the major reasons for failing cancer treatment is the late diagnosis of the tumors. Thus, diagnosis at the early stages could be vital for the treatment. Serum autoantibodies, as tumor markers, are becoming interesting targets due to their medical and biological relevance. Among them, anti-p53 autoantibody in human sera is found to be involved in a variety of cancers. Regarding this issue, a novel and sensitive electrochemical biosensor for detection of anti-p53 autoantibody has been developed. For this purpose, a nanocomposite including thionine (as an electron transfer mediator)/chitosan/nickel hydroxide nanoparticles/electrochemically reduced graphene oxide (Th-CS-Ni(OH)2NPs–ERGO) as a support platform was fabricated on the surface of glassy carbon electrode via a layer-by-layer manner and characterized through common electrochemical and imaging techniques. Then, p53-antigen was immobilized on the nanocomposite and used in an indirect immunoassay with horseradish peroxidase (HRP)-conjugated secondary antibody and H2O2 as the substrate, following the typical Michaelis–Menten kinetics. Under optimized condition, two techniques, including differential Pulse Voltammetry (DPV) and Electrochemical Impedance Spectroscopy (EIS) as a label free technique, applied for the biomarker detection. The linear ranges and LODs were obtained 0.1–500 pg mL􀀀 1 and 0.001 pg mL􀀀 1 using DPV and 5–150 pg mL􀀀 1 and 0.007 pg mL􀀀 1 using EIS, respectively. Furthermore, the proposed biosensor displayed satisfying stability, selectivity, and reproducibility. According to the results, the presented protocol is promising to develop other electrochemical biosensors.