SPANILÁ, Miroslava, Jiří PAZOUREK, Marta FARKOVÁ a Josef HAVEL. Optimization of solid-phase extraction using artificial neural networks in combination with experimental design for determination of resveratrol by capillary zone electrophoresis in wines. J. Chromatogr. A. Amsterdam (The Netherlands): Elsevier Science, 2005, roč. 1084, č. 1, s. 180-185. ISSN 0021-9606. |
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@article{710521, author = {Spanilá, Miroslava and Pazourek, Jiří and Farková, Marta and Havel, Josef}, article_location = {Amsterdam (The Netherlands)}, article_number = {1}, keywords = {Solid-phase extraction; Artificial neural networks; Experimental design; Single variable approach; Multivariable approach; Capillary electrophoresis; trans-resveratrol}, language = {eng}, issn = {0021-9606}, journal = {J. Chromatogr. A.}, title = {Optimization of solid-phase extraction using artificial neural networks in combination with experimental design for determination of resveratrol by capillary zone electrophoresis in wines}, volume = {1084}, year = {2005} }
TY - JOUR ID - 710521 AU - Spanilá, Miroslava - Pazourek, Jiří - Farková, Marta - Havel, Josef PY - 2005 TI - Optimization of solid-phase extraction using artificial neural networks in combination with experimental design for determination of resveratrol by capillary zone electrophoresis in wines JF - J. Chromatogr. A. VL - 1084 IS - 1 SP - 180-185 EP - 180-185 PB - Elsevier Science SN - 00219606 KW - Solid-phase extraction KW - Artificial neural networks KW - Experimental design KW - Single variable approach KW - Multivariable approach KW - Capillary electrophoresis KW - trans-resveratrol N2 - Solid-phase extraction (SPE) is often used for preconcentration of analytes from biological samples. Such an analytical step requires optimization for obtaining reliable results. Optimization in analytical chemistry is traditionally still often done with relaxation method, when an optimal value of a single variable is searched for (single variable approach, SVA). Nowadays, using artificial neural networks (ANN) as a multivariable approach (MVA) in optimization is rapidly expanding. In this work, the optimization of SPE using relaxation method (SVA) and optimization by ANN in combination with experimental design (MVA) are compared and the latter approach is practically illustrated. Advantages of MVA over SVA for optimization are discussed. The prediction of the optimal SPE conditions for determination cis- and trans-resveratrol in Australian wines by capillary zone electrophoresis is described and the improvement of efficiency of SPE using MVA is confirmed. ER -
SPANILÁ, Miroslava, Jiří PAZOUREK, Marta FARKOVÁ a Josef HAVEL. Optimization of solid-phase extraction using artificial neural networks in combination with experimental design for determination of resveratrol by capillary zone electrophoresis in wines. \textit{J. Chromatogr. A.}. Amsterdam (The Netherlands): Elsevier Science, 2005, roč.~1084, č.~1, s.~180-185. ISSN~0021-9606.
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