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A colorimetric biosensor based on peroxidase-like activity of CuO nanoparticles for simultaneous detection of microRNAs

Mohadese Mahdie, Mahdi Rahaie, and Fateme Shateri

Department of Life Science Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran

 

E-mail: mrahaie@ut.ac.ir

Received: 31 May 2022  Accepted: 5 August 2022

Abstract:

Currently, early diagnosis of breast cancer with novel biomarkers of microRNAs has developed as promising approach in medicine and preventing unnecessary surgery. In this work, we designed a colorimetric biosensor based on the catalytic and peroxidase-like properties of copper oxide nanoparticles (CuO) in the interaction with DNA. The mimic enzymatic activity with combination to no PCR amplification strategy of HCR can be easily use to detect multiple microRNAs, simultaneously. The biosensing method was confirmed using UV spectroscopy, XRD, FESEM, and electrophoresis analysis. The results showed a high specificity and sensitivity for dual targets (miR-21 and miR-155) with a detection limit of 0.31 nM and a linear response range of 0.1-1 μM. It was found that the approach could provide a cheap, fast, and reliable multiple detection technique to diagnose and monitor breast cancer in patients, with high accuracy and repeatability.

Keywords: CuO nanoparticles; miRNA; Biosensor; Optical; Detection; Breast cancer

Full paper is available at www.springerlink.com.

DOI: 10.1007/s11696-022-02417-4

 

Chemical Papers 76 (12) 7305–7312 (2022)

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