An electrochemical sensor based on carbon nanofiber and molecular imprinting strategy for dasatinib recognition

  • Emrecan Yıldız
  • , Ahmet Cetinkaya
  • , M. Emin Çorman
  • , Esen Bellur Atici
  • , Lokman Uzun
  • , Sibel A. Ozkan

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Herein, we proposed a new approach to design a MIP-based electrochemical sensor with carbon nanofiber (CNF), which could improve its conductivities as well as electrode sensitivity and successful detection of dasatinib (DAS). CNFs are capable of forming high porosity with significant interconnected porous networks. The poly(2-hydroxyethyl-methacrylate-N-methacryloyl-L-tyrosine) (PHEMA-MATyr) copolymer was synthesized in the presence of both CNF and DAS by photopolymerization. After optimization of the parameters, the modified MIP-based electrochemical sensor demonstrated the ability to determine the DAS in the linear working range of 1.0 × 10−14–1.0 × 10–13 M for the standard solution and commercial serum samples with a LOD of 1.76 × 10−15 and 2.46 × 10−15, respectively. Good linearity for DAS was observed with correlation coefficients (r) of 0.996 and 0.997 for the standard solution and commercial serum samples, respectively. The recoveries of the DAS ranged from 99.45 % to 99.53 % for the tablet dosage form and commercial serum samples, with average relative standard deviations below 1.96 % in both cases. The proposed modified sensor demonstrated significant sensitivity and selectivity for the rapid determination of DAS in commercial serum samples and tablet form.

Original languageEnglish
Article number108701
JournalBioelectrochemistry
Volume158
DOIs
Publication statusPublished - Aug 2024

Keywords

  • Carbon nanofiber
  • Dasatinib
  • Molecularly imprinted polymer
  • Pseudo-specific monomer

Fingerprint

Dive into the research topics of 'An electrochemical sensor based on carbon nanofiber and molecular imprinting strategy for dasatinib recognition'. Together they form a unique fingerprint.

Cite this