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Label-Free Electrochemical Cancer Cell Detection Leveraging Hemoglobin-Encapsulated Silver Nanoclusters and Cu-Mof Nanohybrids on a Graphene-Assisted Dual-Modal Probe Publisher Pubmed



Zare AA1 ; Naderimanesh H1, 2 ; Naghib SM3 ; Shamsipur M4 ; Molaabasi F5
Authors
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Authors Affiliations
  1. 1. Department of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
  2. 2. Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
  3. 3. Nanotechnology Department, School of Advanced Technologies, Iran University of Science and Technology (IUST), Tehran, Iran
  4. 4. Department of Chemistry, Razi University, Kermanshah, Iran
  5. 5. Biomaterials and Tissue Engineering Research Group, Department of Interdisciplinary Technologies, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran

Source: Scientific Reports Published:2023


Abstract

Breast cancer detection at an early stage significantly increases the chances of successful treatment and survival. This study presents an electrochemical biosensor for detecting breast cancer cells, utilizing silver nanoclusters encapsulated by hemoglobin and Cu (II)-porphyrin-metal organic framework (BioMOF) in a graphene-incorporated nanohybrid probe. This Hb-AgNCs@MOF-G probe demonstrates high electrochemical activity, superior dispersity, porosity, and a large surface area for effective functionalization. Using a green ultrasonic-assisted stirring method, we fabricate ultra-small 5 nm particles that readily immobilize on a glassy carbon electrode, generating a detection signal when interacting with ferricyanide/ferrocyanide redox probes. The resulting immunosensor detects as few as 2 cells/mL using Electrochemical Impedance Spectroscopy (EIS) “signal on” and 16 cells/mL via Square Wave Voltammetry (SWV) “signal off”, within a broad range of cell concentrations (102–5 × 104 cells/mL). Our designed sensor shows improved selectivity (5- to 16-fold) and robust detection in human blood with a recovery efficiency between 94.8–106% (EIS method) and 95.4–111% (SWV method). This sensor could streamline early cancer diagnosis and monitor patient treatment without requiring labelling or signal amplification. As a pioneering endeavor, we've utilized integrated porous MOFs with Hb-encapsulated silver nanoclusters in cancer detection, where these components collectively enhance the overall functionality. © 2023, The Author(s).
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