Form of presentation | Articles in international journals and collections |
Year of publication | 2014 |
Язык | английский |
|
Budnikov German Konstantinovich, author
Evtyugin Gennadiy Arturovich, author
Ziyatdinova Guzel Kamilevna, author
Savelev Anatoliy Aleksandrovich, author
|
Bibliographic description in the original language |
Ziyatdinova, G.K. Simultaneous voltammetric determination of phenolic antioxidants with chemometric approaches / G.K. Ziyatdinova, A.A. Saveliev, G.A. Evtugyn, H.C. Budnikov // Electrochim. Acta. - 2014. - V. 137. - P. 114-120. |
Annotation |
This work is devoted to the new approach for the description of voltammograms with overlapped peaksof individual analytes. The prediction of individual concentration is achieved by decomposition of entire voltammogram using radial basis function approach followed by fitting the curves using linear model and artificial neural net. The analytical case study is the direct determination of three phenolic antioxidants, i.e., tert-butylhydroquinone, 3-tert-butyl-4-hydroxyanisole and propyl gallate. The artificial mixtures contained their binary and ternary solutions in the range of concentration from 0.25 to 1.00 mM. The results of decomposition were first checked on similarity of recorded and reconstructed voltammograms followed by determination of individual concentrations by least square method (linear model fitting) and feed-forward artificial net consisting of two hidden layers with 7 and 3 neurons. The relative standard deviation of 0.03-0.07 can be obtained. |
Keywords |
Voltammetric detection of antioxidants, radial basis function method, artificial neural networks, sterically hindered phenols
|
The name of the journal |
ELECTROCHIMICA ACTA
|
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=107830&p_lang=2 |
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Budnikov German Konstantinovich |
ru_RU |
dc.contributor.author |
Evtyugin Gennadiy Arturovich |
ru_RU |
dc.contributor.author |
Ziyatdinova Guzel Kamilevna |
ru_RU |
dc.contributor.author |
Savelev Anatoliy Aleksandrovich |
ru_RU |
dc.date.accessioned |
2014-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2014-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2014 |
ru_RU |
dc.identifier.citation |
Ziyatdinova, G.K. Simultaneous voltammetric determination of phenolic antioxidants with chemometric approaches / G.K. Ziyatdinova, A.A. Saveliev, G.A. Evtugyn, H.C. Budnikov // Electrochim. Acta. - 2014. - V. 137. - P. 114-120. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=107830&p_lang=2 |
ru_RU |
dc.description.abstract |
ELECTROCHIMICA ACTA |
ru_RU |
dc.description.abstract |
This work is devoted to the new approach for the description of voltammograms with overlapped peaksof individual analytes. The prediction of individual concentration is achieved by decomposition of entire voltammogram using radial basis function approach followed by fitting the curves using linear model and artificial neural net. The analytical case study is the direct determination of three phenolic antioxidants, i.e., tert-butylhydroquinone, 3-tert-butyl-4-hydroxyanisole and propyl gallate. The artificial mixtures contained their binary and ternary solutions in the range of concentration from 0.25 to 1.00 mM. The results of decomposition were first checked on similarity of recorded and reconstructed voltammograms followed by determination of individual concentrations by least square method (linear model fitting) and feed-forward artificial net consisting of two hidden layers with 7 and 3 neurons. The relative standard deviation of 0.03-0.07 can be obtained. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
Voltammetric detection of antioxidants |
ru_RU |
dc.subject |
radial basis function method |
ru_RU |
dc.subject |
artificial neural networks |
ru_RU |
dc.subject |
sterically hindered phenols
|
ru_RU |
dc.title |
Simultaneous voltammetric determination of phenolic antioxidants with chemometric approaches |
ru_RU |
dc.type |
Articles in international journals and collections |
ru_RU |
|