Pregled bibliografske jedinice broj: 536610
„OptIC“: NEW IC METHOD DEVELOPMENT SOFTWARE
„OptIC“: NEW IC METHOD DEVELOPMENT SOFTWARE // 12th International School of Ion Chromatography, Book of Abstracts / Ukić, Šime ; Bolanča, Tomislav (ur.).
Zagreb: Fakultet kemijskog inženjerstva i tehnologije Sveučilišta u Zagrebu, 2011. str. 8-8 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 536610 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
„OptIC“: NEW IC METHOD DEVELOPMENT SOFTWARE
Autori
Bolanča, Tomislav ; Ukić, Šime ; Rogošić, Marko
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
12th International School of Ion Chromatography, Book of Abstracts
/ Ukić, Šime ; Bolanča, Tomislav - Zagreb : Fakultet kemijskog inženjerstva i tehnologije Sveučilišta u Zagrebu, 2011, 8-8
ISBN
978-953-6470-54-9
Skup
12th International School of Ion Chromatography
Mjesto i datum
Zagreb, Hrvatska, 30.06.2011. - 01.07.2011
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
OptIC; method development; software
Sažetak
Ion chromatographic samples are often very complex. Extreme differences in peak area of neighboring components or similar retention times can cause unsatisfactory separation. Although isocratic elution provides the best resolution, it is obtained usually at very low eluent concentration. Consequently, the analysis time is large and chromatographic bands of strongly retained components are particularly broadened, which diminishes the accuracy and precision of the analysis. Therefore, gradient elution is becoming increasingly popular in modern IC. By varying the gradient profile, it is possible to obtain satisfactory separation in a much shorter analysis time. The process of finding the optimum IC separation conditions for any solution/stationary phase combination takes some time, even in the case of simply switching from an old to a new column of the same type. Initial experiments are needed in any case. Their number can be quite large in case of searching for an optimum gradient profile. This lecture focuses on presenting different modeling and optimization approaches in gradient elution ion chromatography. These methodologies are based on complementary strategies including artificial neural networks, numerical integration approach using theoretical models, experimental data transferring from isocratic to gradient elution mode, signal processing and optimization based on multi criteria decision making. Each approach has advantages and disadvantages ; however, extensive experimental testing of designed models resulted in developed software that contains all of the extracted information and conclusions.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Kemijsko inženjerstvo
POVEZANOST RADA
Projekti:
125-1253092-3004 - Procesi ionske izmjene u sustavu kvalitete industrijskih voda (Bolanča, Tomislav, MZOS ) ( CroRIS)
Ustanove:
Fakultet kemijskog inženjerstva i tehnologije, Zagreb