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Use of artificial neural networks for optimization of biogenic amines derivatization

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ROZMAN Tomáš FARKA Zdeněk HAVLIŠ Jan LUBAL Přemysl FARKOVÁ Marta

Rok publikování 2014
Druh Článek ve sborníku
Konference CECE 2014: 11TH INTERNATIONAL INTERDISCIPLINARY MEETING ON BIOANALYSIS
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www http://www.ce-ce.org/CECE2014/CECE%202014%20proceedings_full.pdf#page=378
Obor Analytická chemie, separace
Klíčová slova ANN; biogenic amines; dansyl chloride; HPLC
Popis Biogenic amines as biologically active molecules with potential toxicological dangers are often subject of interest in food analysis. Since these substances do not exhibit significant fluorescence nor absorbance, derivatization is necessary for analysis in combination with RP-HPLC-UV setup. The use of experimental design (ED) in combination with artificial neural networks (ANN) for optimization of dansyl derivatization conditions for seven biogenic amines is presented. Four key factors were studied – concentration of derivatization reagent, buffer pH, temperature and incubation time. With the use of ED-ANN approach, optimal conditions for dansyl chloride derivatization were found and experimentally confirmed.
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