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Ultrasensitive and label free electrochemical immunosensor for detection of ROR1 as an oncofetal biomarker using gold nanoparticles assisted LDH/rGO nanocomposite

  • Rozita Abolhasan
  • , Balal Khalilzadeh*
  • , Hadi Yousefi
  • , Sahar Samemaleki
  • , Forough Chakari-Khiavi
  • , Farzaneh Ghorbani
  • , Ramin Pourakbari
  • , Amin Kamrani
  • , Alireza Khataee
  • , Tannaz Sadeghi Rad
  • , Mohammad Reza Rashidi
  • , Mehdi Yousefi
  • , Leili AghebatiMaleki*
  • *Corresponding author for this work
  • Tabriz University of Medical Sciences
  • Ardabil University of Medical Sciences
  • Khoy University of Medical Sciences
  • Hamedan University of Medical Sciences and Health Services
  • University of Tabriz
  • Gebze Technical University
  • South Ural State University

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

Abstract

In the present article, we developed a highly sensitive label-free electrochemical immunosensor based on NiFe-layered double hydroxides (LDH)/reduced graphene oxide (rGO)/gold nanoparticles modified glassy carbon electrode for the determination of receptor tyrosine kinase-like orphan receptor (ROR)-1. In this electrochemical immunoassay platform, NiFe-LDH/rGO was used due to great electron mobility, high specific surface area and flexible structures, while Au nanoparticles were prepared and coated on the modified electrodes to improve the detection sensitivity and ROR1 antibody immobilizing (ROR1Ab). The modification procedure was approved by using cyclic voltammetry and differential pulse voltammetry based on the response of peak current to the step by step modifications. Under optimum conditions, the experimental results showed that the immunosensor revealed a sensitive response to ROR1 in the range of 0.01–1 pg mL−1, and with a lower limit of quantification of 10 attogram/mL (10 ag mL−1). Furthermore, the designed immunosensor was applied for the analysis of ROR1 in several serum samples of chronic lymphocytic leukemia suffering patients with acceptable results, and it also exhibited good selectivity, reproducibility and stability.

Original languageEnglish
Article number14921
JournalScientific Reports
Volume11
Issue number1
DOIs
Publication statusPublished - Dec 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021, The Author(s).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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