Use of artificial neural networks for optimization of biogenic
amines derivatization

D 2014

Use of artificial neural networks for optimization of biogenic amines derivatization

ROZMAN, Tomáš; Zdeněk FARKA; Jan HAVLIŠ; Přemysl LUBAL; Marta FARKOVÁ et al.

Základní údaje

Originální název

Use of artificial neural networks for optimization of biogenic amines derivatization

Autoři

ROZMAN, Tomáš; Zdeněk FARKA; Jan HAVLIŠ; Přemysl LUBAL a Marta FARKOVÁ

Vydání

Brno, CECE 2014: 11TH INTERNATIONAL INTERDISCIPLINARY MEETING ON BIOANALYSIS, od s. 377-380, 4 s. 2014

Nakladatel

Institute of Analytical Chemistry AS CR

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10406 Analytical chemistry

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Kód RIV

RIV/00216224:14310/14:00077326

Organizační jednotka

Přírodovědecká fakulta

ISBN

978-80-904959-2-0

UT WoS

000354547400122

Klíčová slova anglicky

ANN; biogenic amines; dansyl chloride; HPLC

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 25. 8. 2020 10:59, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

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.

Návaznosti

ED1.1.00/02.0068, projekt VaV

Název: CEITEC - central european institute of technology

MUNI/A/0972/2013, interní kód MU

Název: Vývoj metod a instrumentace pro analýzu biologicky významných látek 2014 (Akronym: MIAB)

Investor: Masarykova univerzita, Vývoj metod a instrumentace pro analýzu biologicky významných látek 2014, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

ROZMAN, Tomáš; Zdeněk FARKA; Jan HAVLIŠ; Přemysl LUBAL a 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, s. 377-380. ISBN 978-80-904959-2-0.

@inproceedings{1206163,
   author = {Rozman, Tomáš and Farka, Zdeněk and Havliš, Jan and Lubal, Přemysl and Farková, Marta},
   address = {Brno},
   booktitle = {CECE 2014: 11TH INTERNATIONAL INTERDISCIPLINARY MEETING ON BIOANALYSIS},
   editor = {František Foret, Jana Křenková, Iveta Drobníková, Andras Guttman, Karel Klepárník},
   keywords = {ANN; biogenic amines; dansyl chloride; HPLC},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Brno},
   isbn = {978-80-904959-2-0},
   pages = {377-380},
   publisher = {Institute of Analytical Chemistry AS CR},
   title = {Use of artificial neural networks for optimization of biogenic amines derivatization},
   url = {http://www.ce-ce.org/CECE2014/CECE%202014%20proceedings_full.pdf#page=378},
   year = {2014}
}

TY  - CONF
ID  - 1206163
AU  - Rozman, Tomáš - Farka, Zdeněk - Havliš, Jan - Lubal, Přemysl - Farková, Marta
PY  - 2014
TI  - Use of artificial neural networks for optimization of biogenic amines derivatization
PB  - Institute of Analytical Chemistry AS CR
CY  - Brno
SN  - 9788090495920
KW  - ANN
KW  - biogenic amines
KW  - dansyl chloride
KW  - HPLC
UR  - http://www.ce-ce.org/CECE2014/CECE%202014%20proceedings_full.pdf#page=378
N2  - 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.
ER  -

ROZMAN, Tomáš; Zdeněk FARKA; Jan HAVLIŠ; Přemysl LUBAL a 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. \textit{CECE 2014: 11TH INTERNATIONAL INTERDISCIPLINARY MEETING ON BIOANALYSIS}. Brno: Institute of Analytical Chemistry AS CR, 2014, s.~377-380. ISBN~978-80-904959-2-0.

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