2024 : 12 : 22
Abdollah Salimi

Abdollah Salimi

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 57198900488
HIndex:
Faculty: Faculty of Science
Address:
Phone:

Research

Title
Immunoreaction-triggered diagnostic device using reduced graphene oxide/CuO NPs/chitosan ternary nanocomposite, toward enhanced electrochemical detection of albumin
Type
JournalPaper
Keywords
Human serum albumin Electrochemical immunosensor Electrochemically reduced graphene oxide CuO NPs Chitosan
Year
2020
Journal JOURNAL OF ELECTROANALYTICAL CHEMISTRY
DOI
Researchers Bahareh Feyzi-barnaji ، Behzad Darbasizadeh ، Elham Arkan ، Hamid Salehzadeh ، Abdollah Salimi ، Fatemeh Nili ، Rassoul Dinarvand ، Ali Mohamadi

Abstract

Determination of Human Serum Albumin (HSA), an important biomarker, is needed for early diagnosis and therapy monitoring in a variety of diseases. A novel electrochemical immunosensor was constructed to detect HSA in both standard solutions and human serum samples. In so doing, glassy carbon electrode (GCE) was modified in three steps. First, graphene oxide (GO) was drop-casted on the GCE surface and electrochemically reduced. Second, in situ electrochemical deposition (ECD) of cupric oxide nanoparticles (CuO NPs) in two consecutive steps has been done. Finally, anti- HSA antibodies have been immobilized via amino groups of chitosan which drop-casted earlier. The surface morphology and nature of the modified electrode was characterized using common electrochemical and imaging techniques. Using differential pulse voltammetry (DPV), the response of the immunosensor was linear in the range of 10–450 ng.mL−1 HSA, with the limit of detection (LOD) 2.6 ng.mL−1. Moreover, the selectivity of the modified electrode was investigated to some common interferences. Under optimumconditions, the immunosensor displayed excellent stability, reproducibility, selectivity and repeatability. The findings indicated that fabricated electrode is a promising candidate for quantifying HSA that is applicable in diagnostics and therapeutics.