Pregled bibliografske jedinice broj: 400617
Classification of polymorphic forms of entacapone using vibrational spectroscopy
Classification of polymorphic forms of entacapone using vibrational spectroscopy // XXI. Hrvatski skup kemičara i kemijskih inženjera – Knjiga sažetaka / Novak, Predrag ; Pičuljan, Katarina ; Smolec, Sonja (ur.).
Zagreb: Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI), 2009. (poster, nije recenziran, sažetak, znanstveni)
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Naslov
Classification of polymorphic forms of entacapone using vibrational spectroscopy
Autori
Tomica Hrenar, Snežana Miljanić, Andrea Kišić, Zlatko Meić, Predrag Novak
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
XXI. Hrvatski skup kemičara i kemijskih inženjera – Knjiga sažetaka
/ Novak, Predrag ; Pičuljan, Katarina ; Smolec, Sonja - Zagreb : Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI), 2009
ISBN
978-953-6894-38-3
Skup
XXI. Hrvatski skup kemičara i kemijskih inženjera
Mjesto i datum
Trogir, Hrvatska, 19.04.2009. - 22.04.2009
Vrsta sudjelovanja
Poster
Vrsta recenzije
Nije recenziran
Ključne riječi
Entacapone; vibrational spectroscopy
Sažetak
Entacapone is a known catechol-O-methyl transferase inhibitor used in the treatment of Parkinson's disease [1]. It exists in two stereoisomeric forms E and Z (Fig. 1.). Originally, (E)-isomer was chosen because of a more favourable synthetic route. However, during the crystalization process several polymorhic forms can be isolated according to different conditions (solvents, temperature, etc). Figure 1. (E)- and (Z)- stereoisomers of entacapone Vibrational spectroscopy (IR and Raman) in combination with principal component analysis provide an efficient and reliable procedure for reduction of multidimensional data sets which facilitate analysis. Results obtained from a set of vibrational spectra show that classification of polymorhic forms of entacapone can be carried out using only few principal components. A first two principal components are covering the majority of the variance, thus enabling a significant data-set reduction [1] http://www.fda.gov
Izvorni jezik
Engleski
Znanstvena područja
Kemija
POVEZANOST RADA
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb