CER - Central Repository
Institute of Chemistry, Technology and Metallurgy
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrilic)
    • Serbian (Latin)
  • Login
View Item 
  •   Central Repository
  • IHTM
  • Radovi istraživača / Researchers' publications
  • View Item
  •   Central Repository
  • IHTM
  • Radovi istraživača / Researchers' publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A Chemometrical Analysis of Voltammetric Data for Simultaneous Determination of Phenobarbital Sodium and Paracetamol Obtained at a Gold Electrode

Thumbnail
2016
1939.pdf (138.1Kb)
Authors
Avramov Ivić, Milka
Antanasijevic, Jelena
Trišović, Nemanja
Antanasijevic, Davor
Lović, Jelena
Mijin, Dušan
Petrović, Slobodan D.
Article (Published version)
Metadata
Show full item record
Abstract
The electrochemical behavior of phenobarbital sodium (PBS), paracetamol (PCM) and their binary mixtures was investigated using cyclic voltammetry (CV) and square wave voltammetry (SWV) at a bare gold electrode in a 0.05 M bicarbonate solution. A calibration curve of PBS obtained by SWV had two linear ranges, from 1.0 to 3.0 mu M and from 5.0 to 35.0 mu M with a limit of quantification (LOQ) of 0.62 mu M and a limit of detection (LOD) of 0.19 mu M, while a calibration curve of PCM was determined within the range from 10.0 to 50.0 mu M with a LOQ of 8.53 mu M and a LOD of 2.56 mu M. Both drugs underwent oxidation by irreversible, diffusion controlled process. The SW voltammograms of the drug mixtures produced complex, overlapping profiles and a chemometric method was applied for their decomposition. Two different artificial neural network (ANN) architectures, namely back-propagation neural network (BPNN) and general regression neural network (GRNN) were employed for the simultaneous pred...iction of the concentrations of the drugs in a synthetic sample. The BPNN model had higher accuracy (mean absolute percentage error values were in the range of 3.6-8.4%) and thus it can be used for the simultaneous determination of PBS and PCM.

Keywords:
phenobarbital / paracetamol / voltammetry / chemometrics
Source:
International Journal of Electrochemical Science, 2016, 11, 7, 5935-5951
Publisher:
  • Esg, Belgrade
Projects:
  • Study of the Synthesis, Structure and Activity of Natural and Synthetic Organic Compounds (RS-172013)
  • New approach in designing materials for energy conversion and energy storage systems (RS-172060)
  • Development and Application of Methods and Materials for Monitoring New Organic Contaminants, Toxic Compounds and Heavy Metals (RS-172007)

DOI: 10.20964/2016.07.48

ISSN: 1452-3981

WoS: 000384905600050

Scopus: 2-s2.0-84978138152
[ Google Scholar ]
3
1
URI
http://cer.ihtm.bg.ac.rs/handle/123456789/1941
Collections
  • Radovi istraživača / Researchers' publications
Institution
IHTM
TY  - JOUR
AU  - Avramov Ivić, Milka
AU  - Antanasijevic, Jelena
AU  - Trišović, Nemanja
AU  - Antanasijevic, Davor
AU  - Lović, Jelena
AU  - Mijin, Dušan
AU  - Petrović, Slobodan D.
PY  - 2016
UR  - http://cer.ihtm.bg.ac.rs/handle/123456789/1941
AB  - The electrochemical behavior of phenobarbital sodium (PBS), paracetamol (PCM) and their binary mixtures was investigated using cyclic voltammetry (CV) and square wave voltammetry (SWV) at a bare gold electrode in a 0.05 M bicarbonate solution. A calibration curve of PBS obtained by SWV had two linear ranges, from 1.0 to 3.0 mu M and from 5.0 to 35.0 mu M with a limit of quantification (LOQ) of 0.62 mu M and a limit of detection (LOD) of 0.19 mu M, while a calibration curve of PCM was determined within the range from 10.0 to 50.0 mu M with a LOQ of 8.53 mu M and a LOD of 2.56 mu M. Both drugs underwent oxidation by irreversible, diffusion controlled process. The SW voltammograms of the drug mixtures produced complex, overlapping profiles and a chemometric method was applied for their decomposition. Two different artificial neural network (ANN) architectures, namely back-propagation neural network (BPNN) and general regression neural network (GRNN) were employed for the simultaneous prediction of the concentrations of the drugs in a synthetic sample. The BPNN model had higher accuracy (mean absolute percentage error values were in the range of 3.6-8.4%) and thus it can be used for the simultaneous determination of PBS and PCM.
PB  - Esg, Belgrade
T2  - International Journal of Electrochemical Science
T1  - A Chemometrical Analysis of Voltammetric Data for Simultaneous Determination of Phenobarbital Sodium and Paracetamol Obtained at a Gold Electrode
VL  - 11
IS  - 7
SP  - 5935
EP  - 5951
DO  - 10.20964/2016.07.48
ER  - 
@article{
author = "Avramov Ivić, Milka and Antanasijevic, Jelena and Trišović, Nemanja and Antanasijevic, Davor and Lović, Jelena and Mijin, Dušan and Petrović, Slobodan D.",
year = "2016",
url = "http://cer.ihtm.bg.ac.rs/handle/123456789/1941",
abstract = "The electrochemical behavior of phenobarbital sodium (PBS), paracetamol (PCM) and their binary mixtures was investigated using cyclic voltammetry (CV) and square wave voltammetry (SWV) at a bare gold electrode in a 0.05 M bicarbonate solution. A calibration curve of PBS obtained by SWV had two linear ranges, from 1.0 to 3.0 mu M and from 5.0 to 35.0 mu M with a limit of quantification (LOQ) of 0.62 mu M and a limit of detection (LOD) of 0.19 mu M, while a calibration curve of PCM was determined within the range from 10.0 to 50.0 mu M with a LOQ of 8.53 mu M and a LOD of 2.56 mu M. Both drugs underwent oxidation by irreversible, diffusion controlled process. The SW voltammograms of the drug mixtures produced complex, overlapping profiles and a chemometric method was applied for their decomposition. Two different artificial neural network (ANN) architectures, namely back-propagation neural network (BPNN) and general regression neural network (GRNN) were employed for the simultaneous prediction of the concentrations of the drugs in a synthetic sample. The BPNN model had higher accuracy (mean absolute percentage error values were in the range of 3.6-8.4%) and thus it can be used for the simultaneous determination of PBS and PCM.",
publisher = "Esg, Belgrade",
journal = "International Journal of Electrochemical Science",
title = "A Chemometrical Analysis of Voltammetric Data for Simultaneous Determination of Phenobarbital Sodium and Paracetamol Obtained at a Gold Electrode",
volume = "11",
number = "7",
pages = "5935-5951",
doi = "10.20964/2016.07.48"
}
Avramov Ivić M, Antanasijevic J, Trišović N, Antanasijevic D, Lović J, Mijin D, Petrović SD. A Chemometrical Analysis of Voltammetric Data for Simultaneous Determination of Phenobarbital Sodium and Paracetamol Obtained at a Gold Electrode. International Journal of Electrochemical Science. 2016;11(7):5935-5951
Avramov Ivić, M., Antanasijevic, J., Trišović, N., Antanasijevic, D., Lović, J., Mijin, D.,& Petrović, S. D. (2016). A Chemometrical Analysis of Voltammetric Data for Simultaneous Determination of Phenobarbital Sodium and Paracetamol Obtained at a Gold Electrode.
International Journal of Electrochemical ScienceEsg, Belgrade., 11(7), 5935-5951.
https://doi.org/10.20964/2016.07.48
Avramov Ivić Milka, Antanasijevic Jelena, Trišović Nemanja, Antanasijevic Davor, Lović Jelena, Mijin Dušan, Petrović Slobodan D., "A Chemometrical Analysis of Voltammetric Data for Simultaneous Determination of Phenobarbital Sodium and Paracetamol Obtained at a Gold Electrode" 11, no. 7 (2016):5935-5951,
https://doi.org/10.20964/2016.07.48 .

DSpace software copyright © 2002-2015  DuraSpace
About CeR – Central Repository | Send Feedback

OpenAIRERCUB
 

 

All of DSpaceInstitutionsAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About CeR – Central Repository | Send Feedback

OpenAIRERCUB