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Pregled bibliografske jedinice broj: 834203

Apllication of artificial neural networks (ANN) for development of HPLC gradient separation methods of polyphenolic compounds in medical plants

Belščak-Cvitanović, Ana; Jurinjak Tušek, Ana; Valinger, Davor; Benković, Maja; Jurina, Tamara; Komes, Draženka
Apllication of artificial neural networks (ANN) for development of HPLC gradient separation methods of polyphenolic compounds in medical plants // Book of abstracts International Conference 16th Ružička days, "Today science-tomorrow industry" / Jukić, Ante (ur.).
Osijek: Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI) ; Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2016. str. 76-76 (poster, međunarodna recenzija, sažetak, znanstveni)

CROSBI ID: 834203 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Apllication of artificial neural networks (ANN) for development of HPLC gradient separation methods of polyphenolic compounds in medical plants

Autori
Belščak-Cvitanović, Ana ; Jurinjak Tušek, Ana ; Valinger, Davor ; Benković, Maja ; Jurina, Tamara ; Komes, Draženka

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of abstracts International Conference 16th Ružička days, "Today science-tomorrow industry" / Jukić, Ante - Osijek : Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI) ; Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2016, 76-76

ISBN
978-953-6894-58-1

Skup
International Conference 16th Ružička days, "Today science-tomorrow industry"

Mjesto i datum
Vukovar, Hrvatska, 21.09.2016. - 23.09.2016

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
artificial neural networks; HPLC; medicinal plants; polyphenols

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Biotehnologija

Napomena
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.



POVEZANOST RADA

Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb

Profili:

Avatar Url Tamara Jurina (autor)

Avatar Url Maja Benković (autor)

Avatar Url Ana Jurinjak Tušek (autor)

Avatar Url Davor Valinger (autor)

Avatar Url Ana Belščak-Cvitanović (autor)

Avatar Url Draženka Komes (autor)

Citiraj ovu publikaciju:

Belščak-Cvitanović, Ana; Jurinjak Tušek, Ana; Valinger, Davor; Benković, Maja; Jurina, Tamara; Komes, Draženka
Apllication of artificial neural networks (ANN) for development of HPLC gradient separation methods of polyphenolic compounds in medical plants // Book of abstracts International Conference 16th Ružička days, "Today science-tomorrow industry" / Jukić, Ante (ur.).
Osijek: Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI) ; Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2016. str. 76-76 (poster, međunarodna recenzija, sažetak, znanstveni)
Belščak-Cvitanović, A., Jurinjak Tušek, A., Valinger, D., Benković, M., Jurina, T. & Komes, D. (2016) Apllication of artificial neural networks (ANN) for development of HPLC gradient separation methods of polyphenolic compounds in medical plants. U: Jukić, A. (ur.)Book of abstracts International Conference 16th Ružička days, "Today science-tomorrow industry".
@article{article, author = {Bel\v{s}\v{c}ak-Cvitanovi\'{c}, Ana and Jurinjak Tu\v{s}ek, Ana and Valinger, Davor and Benkovi\'{c}, Maja and Jurina, Tamara and Komes, Dra\v{z}enka}, editor = {Juki\'{c}, A.}, year = {2016}, pages = {76-76}, keywords = {artificial neural networks, HPLC, medicinal plants, polyphenols}, isbn = {978-953-6894-58-1}, title = {Apllication of artificial neural networks (ANN) for development of HPLC gradient separation methods of polyphenolic compounds in medical plants}, keyword = {artificial neural networks, HPLC, medicinal plants, polyphenols}, publisher = {Hrvatsko dru\v{s}tvo kemijskih in\v{z}enjera i tehnologa (HDKI) ; Prehrambeno tehnolo\v{s}ki fakultet Sveu\v{c}ili\v{s}ta Josipa Jurja Strossmayera u Osijeku}, publisherplace = {Vukovar, Hrvatska} }
@article{article, author = {Bel\v{s}\v{c}ak-Cvitanovi\'{c}, Ana and Jurinjak Tu\v{s}ek, Ana and Valinger, Davor and Benkovi\'{c}, Maja and Jurina, Tamara and Komes, Dra\v{z}enka}, editor = {Juki\'{c}, A.}, year = {2016}, pages = {76-76}, keywords = {artificial neural networks, HPLC, medicinal plants, polyphenols}, isbn = {978-953-6894-58-1}, title = {Apllication of artificial neural networks (ANN) for development of HPLC gradient separation methods of polyphenolic compounds in medical plants}, keyword = {artificial neural networks, HPLC, medicinal plants, polyphenols}, publisher = {Hrvatsko dru\v{s}tvo kemijskih in\v{z}enjera i tehnologa (HDKI) ; Prehrambeno tehnolo\v{s}ki fakultet Sveu\v{c}ili\v{s}ta Josipa Jurja Strossmayera u Osijeku}, publisherplace = {Vukovar, Hrvatska} }

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