Use of artificial neural networks for optimization of biogenic amines derivatization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F14%3A00077326" target="_blank" >RIV/00216224:14310/14:00077326 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Use of artificial neural networks for optimization of biogenic amines derivatization
Original language description
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 analysisin 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
CB - Analytical chemistry, separation
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0068" target="_blank" >ED1.1.00/02.0068: Central european institute of technology</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CECE 2014
ISBN
9788090495920
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
377-380
Publisher name
Institute of Analytical Chemistry AS CR
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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