2024 : 4 : 14
Ali Babaei

Ali Babaei

Academic rank: Professor
ORCID: https://orcid.org/0000-0001-5442-8123
Education: PhD.
ScopusId: 56496577600
Faculty: Science
Address: Arak University
Phone:

Research

Title
Application of multivariate optimization method in nanomolar simultaneous determination of morphine and codeine in the presence of uric acid using a glassy carbon electrode modified with a hydroxyapatite‑Fe3O4 nanoparticle/multiwalled carbon nanotubes composite
Type
JournalPaper
Keywords
Morphine · Codeine · Central composite design · Electrochemical nanosensor · Modified electrode
Year
2017
Journal Journal of the Iranian Chemical Society
DOI
Researchers Ali Babaei ، Mohammad Afrasiabi ، Meisam Shabanian

Abstract

The electrochemical oxidation of morphine (MO) and codeine (COD) has been investigated by the application of a novel glassy carbon electrode modified with a hydroxyapatite-Fe3O4 nanoparticles/multiwalled carbon nanotubes composite (HA-FeNPs-MWCNTs/GCE). The modified electrode worked as an efficient sensor for simultaneous determination of MO and COD in the presence of uric acid. Response surface methodology was utilized to optimize the voltammetric response of the modified electrode for the determination of MO and COD. The amount of HA-FeNPs in the modifier matrix (%HAFeNPs), the solution pH and the accumulation time were chosen as the three important operating factors through the experimental design methodology. The central composite design as a response surface approach was applied for obtaining the optimum conditions leading to maximum oxidation peak currents for MO and COD. The differential pulse voltammetry results showed that the obtained anodic peak currents were linearly proportional to concentration in the range of 0.08–32 μM with a detection limit (S/N = 3.0) of 14 nM for MO and in the range of 0.1–28 μM and with a detection limit of 22 nM for COD. The proposed method was successfully applied to determine these compounds in human urine and blood serum samples.