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Bibliographic record number: 834203

Journal

Authors: Belščak-Cvitanović, Ana; Jurinjak Tušek, Ana; Valinger, Davor; Benković, Maja; Jurina, Tamara; Komes, Draženka
Title: Apllication of artificial neural networks (ANN) for development of HPLC gradient separation methods of polyphenolic compounds in medical plants
Source: Book of abstracts International Conference 16th Ružička days, "Today science-tomorrow industry" / Jukić, Ante (ed). - Osijek : Hrvatsko društvo kemijskih inženjera i tehnologa ; Prehrambeno-tehnološki fakultet Osijek , 2016. 76-76 (ISBN: 978-953-6894-58-1).
Meeting: International Conference 16th Ružička days, "Today science-tomorrow industry"
Location and date: Vukovar, Hrvatska, 21-23.09.2016.
Keywords: artificial neural networks; HPLC; medicinal plants; polyphenols
Abstract:
behaviour of gallic, rosmarinic and chlorogenic acids as well as quercetin and rutin as the outputs from five different medicinal plant extracts. The optimal neural network chosen based on the predicted response factor values, mean of squares error (MSE), average error percentage (Er%), and coefficients of correlation (r) was able to highly accurately predict the experimental responses. The results of the present study confirm the usefulness of ANNs in the development of HPLC gradient separation methods.
Type of meeting: Poster
Type of presentation in a journal: Abstract
Type of peer-review: International peer-review
Original language: ENG
Category: Znanstveni
Research fields:
Biotechnology
Contrib. to CROSBI by: Ana Tušek Jurinjak (atusek@pbf.hr), 26. Ruj. 2016. u 09:05 sati
Remarks:
Ovaj rad doprinos je projektu "Primjena mikroreaktora u praćenju antioksidacijske aktivnosti samoniklog bilja (MICRO-AA)" projektni broj HR.3.2.01-0069, koji je financiran iz Europskog socijalnog fonda (ESF) putem operativnog programa Razvoj ljudskih potencijala.



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