Open AccessElectroanalytical investigation and voltammetric quantification of antiviral drug favipiravir in the pharmaceutical formulation and urine sample using a glassy carbon electrode in anionic surfactant media
Author(s) -
ZEYNEP AKCA,
HANDE İZEM ÖZOK,
Yavuz Yardım,
ZÜHRE ŞENTÜRK
Publication year - 2022
Publication title -
turkish journal of chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.239
H-Index - 46
eISSN - 1303-6130
pISSN - 1300-0527
DOI - 10.55730/1300-0527.3375
Subject(s) - chemistry , detection limit , glassy carbon , adsorptive stripping voltammetry , pulmonary surfactant , sodium dodecyl sulfate , electrochemistry , voltammetry , chromatography , electroanalytical method , stripping (fiber) , supporting electrolyte , electrode , pharmaceutical formulation , cyclic voltammetry , buffer solution , nuclear chemistry , potentiometric titration , biochemistry , electrical engineering , engineering
This work describes the electrochemical investigation of a promising antiviral agent, favipiravir (FAV) utilizing a nonmodified glassy carbon (GC) electrode, along with a unique voltammetric approach that can determine FAV with a good degree of accuracy, speed, and cost-effectiveness. Using cyclic voltammetry, the compound demonstrated a single well-defined and an irreversible oxidation peak at approximately +1.12 V (vs. Ag/AgCl) in Britton - Robinson (BR) buffer at pH 10.0. The synergistic effect of anionic surfactant, sodium dodecyl sulfate (SDS) on the adsorption ability of GC electrode remarkably increased the sensitivity of the stripping voltammetric measurements of FAV. Employing square-wave adsorptive stripping voltammetry at +1.17 V (vs. Ag/AgCl) (after 60 s accumulation at open-circuit condition) in BR buffer (pH 10.0) containing 3 × 10 -4 M SDS, the linear relationship is found for FAV quantification in the concentration from 1.0 to 100.0 μg mL -1 (6.4 × 10 -6 -6.4 × 10 -4 M) with a detection limit of 0.26 μg mL -1 (1.7 × 10 -6 M). The proposed approach was used successfully to determine FAV in pharmaceutical formulations and model human urine samples.