Pregled bibliografske jedinice broj: 691471
Development of gradient retention model in ion chromatography. Part I: Conventional QSRR approach
Development of gradient retention model in ion chromatography. Part I: Conventional QSRR approach // Chromatographia, 77 (2014), 15-16; 985-996 doi:10.1007/s10337-014-2653-5 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 691471 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Development of gradient retention model in ion chromatography. Part I: Conventional QSRR approach
Autori
Ukić, Šime ; Novak, Mirjana ; Žuvela, Petar ; Avdalović, Nebojša ; Liu, Yan ; Buszewski, Bogusław ; Bolanča, Tomislav
Izvornik
Chromatographia (0009-5893) 77
(2014), 15-16;
985-996
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
ion chromatography ; QSRR ; gradient retention model ; stepwise MLR ; PLS ; UVE–PLS
Sažetak
New retention methodology that integrates conventional quantitative structure-retention relationship QSRR) approach and gradient retention modeling based on isocratic retention data is developed and presented in the paper. Such integrated approach removes the general QSRR limitation of highly predefined application conditions (i.e., QSRR are generally applicable only under the conditions used during model development) and allows the prediction of retentions over wide range of different elution conditions (practically for any isocratic or gradient elution profile). At the same time, it retains the ability to predict retention of components unknown to model, i.e., the components that have not been used in modeling. Ion-exchange chromatography (IC) analysis of carbohydrates was selected as modeling environment. Three regression techniques were applied and compared during QSRR modeling, namely: stepwise multiple linear regression, partial least squares (PLS), and uninformative variable elimination–PLS regression. The obtained prediction results of the best QSRR model (root-mean-square error of prediction = 22.69 %) were similar to those found in the literature. The upgrade from QSRR to the integrated model did not diminish the predictive ability of the model, indicating an excellent potential of the developed methodology not only in IC but also in chromatography in general.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Kemijsko inženjerstvo
POVEZANOST RADA
Projekti:
110005
MZOS-125-1253092-3004 - Procesi ionske izmjene u sustavu kvalitete industrijskih voda (Bolanča, Tomislav, MZOS ) ( CroRIS)
Ustanove:
Fakultet kemijskog inženjerstva i tehnologije, Zagreb
Profili:
Mirjana Novak Stankov
(autor)
Tomislav Bolanča
(autor)
Nebojša Avdalović
(autor)
Šime Ukić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- CA Search (Chemical Abstracts)