ROZMAN, Tomáš, Zdeněk FARKA, Jan HAVLIŠ, Přemysl LUBAL and Marta FARKOVÁ. Use of artificial neural networks for optimization of biogenic amines derivatization. Online. In František Foret, Jana Křenková, Iveta Drobníková, Andras Guttman, Karel Klepárník. CECE 2014: 11TH INTERNATIONAL INTERDISCIPLINARY MEETING ON BIOANALYSIS. Brno: Institute of Analytical Chemistry AS CR, 2014, p. 377-380. ISBN 978-80-904959-2-0.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Use of artificial neural networks for optimization of biogenic amines derivatization
Authors ROZMAN, Tomáš (203 Czech Republic, belonging to the institution), Zdeněk FARKA (203 Czech Republic, belonging to the institution), Jan HAVLIŠ (203 Czech Republic, belonging to the institution), Přemysl LUBAL (203 Czech Republic, belonging to the institution) and Marta FARKOVÁ (203 Czech Republic, guarantor, belonging to the institution).
Edition Brno, CECE 2014: 11TH INTERNATIONAL INTERDISCIPLINARY MEETING ON BIOANALYSIS, p. 377-380, 4 pp. 2014.
Publisher Institute of Analytical Chemistry AS CR
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10406 Analytical chemistry
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14310/14:00077326
Organization unit Faculty of Science
ISBN 978-80-904959-2-0
UT WoS 000354547400122
Keywords in English ANN; biogenic amines; dansyl chloride; HPLC
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 25/8/2020 10:59.
Abstract
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.
Links
ED1.1.00/02.0068, research and development projectName: CEITEC - central european institute of technology
MUNI/A/0972/2013, interní kód MUName: Vývoj metod a instrumentace pro analýzu biologicky významných látek 2014 (Acronym: MIAB)
Investor: Masaryk University, Category A
PrintDisplayed: 17/7/2024 06:51