Pregled bibliografske jedinice broj: 144902
Model-based and experimental optimization using genetic algorithm
Model-based and experimental optimization using genetic algorithm // Chemical and biochemical engineering quarterly, 18 (2004), 2; 105-116 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 144902 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Model-based and experimental optimization using
genetic algorithm
Autori
Findrik, Zvjezdana ; Zelić, Bruno ; Bogdan, Stjepan ; Vasić-Rački, Đurđa
Izvornik
Chemical and biochemical engineering quarterly (0352-9568) 18
(2004), 2;
105-116
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
genetic algorithm ; model-based optimization ; experimental optimization ; enzymatic synthesis of N-acetyl neuraminic acid ; aqueous two-phase system ; BS Albumine
Sažetak
For the purpose of this paper genetic algorithm (GA) was used for a model-based optimization of the enzymatic synthesis of N-acetyl neuraminic acid and experimental optimization of the initial conditions of an aqueous two-phase extraction system. Model-based optimization of enzymatic synthesis of N-acetyl neuraminic acid was carried out by using an earlier developed and verified mathematical model for this system in a batch reactor (Kragl, U., PhD Thesis, University of Bonn, 1992.). The influence of pyruvate (cPyr) and N-acetyl glucosamine (cGlcNAc) initial concentrations, epimerase (Eepi) and aldolase (Eald) concentrations and reaction time (t) were investigated to optimize volumetric productivity (QP) and ratio (R) of the final concentrations of N-acetyl neuraminic acid and pyruvate. In this example parameters were optimized within 40 generations of 8 experiments. Maximal volumetric productivity of QP = 47.8 g/(dm3 d) in the batch reactor and ratio of R = 2.57 were estimated under the following initial operating conditions: cPyr = 1 mmol/dm3, cGlcNAc = 460 mmol/dm3, Eepi = 39.9 mg/cm3, Eald = 0.2 mg/cm3 and t = 156.8 min. Experimental optimization using GA was applied to investigate the influence of the mass fraction of PEG-6000 (wPEG), the mass fraction of ammonium sulfate (wAS), pH and BS Albumine (BSA) concentration cBSA on partition coefficient of BSA KBSA in aqueous two-phase system consisting of PEG-6000 and ammonium sulfate. The partition coefficient was optimized within five sets of four experiments. It was found out that the mass fraction of PEG-6000 of 0.1770, the mass fraction of ammonium sulfate of 0.1105, pH of 7.0 and BSA concentration of 2.5 g/dm3 are the best working conditions to achieve the optimal partition coefficient of KBSA = 0.4793.
Izvorni jezik
Engleski
Znanstvena područja
Kemijsko inženjerstvo, Biotehnologija
POVEZANOST RADA
Projekti:
0125021
Ustanove:
Pliva-Istraživački institut,
Fakultet kemijskog inženjerstva i tehnologije, Zagreb
Profili:
Stjepan Bogdan
(autor)
Zvjezdana Findrik Blažević
(autor)
Bruno Zelić
(autor)
Đurđa Vasić-Rački
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- 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)