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Pregled bibliografske jedinice broj: 144902

Model-based and experimental optimization using genetic algorithm


Findrik, Zvjezdana; Zelić, Bruno; Bogdan, Stjepan; Vasić-Rački, Đurđa
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

Poveznice na cjeloviti tekst rada:

silverstripe.fkit.hr silverstripe.fkit.hr

Citiraj ovu publikaciju:

Findrik, Zvjezdana; Zelić, Bruno; Bogdan, Stjepan; Vasić-Rački, Đurđa
Model-based and experimental optimization using genetic algorithm // Chemical and biochemical engineering quarterly, 18 (2004), 2; 105-116 (međunarodna recenzija, članak, znanstveni)
Findrik, Z., Zelić, B., Bogdan, S. & Vasić-Rački, Đ. (2004) Model-based and experimental optimization using genetic algorithm. Chemical and biochemical engineering quarterly, 18 (2), 105-116.
@article{article, author = {Findrik, Zvjezdana and Zeli\'{c}, Bruno and Bogdan, Stjepan and Vasi\'{c}-Ra\v{c}ki, \DJur\dja}, year = {2004}, pages = {105-116}, keywords = {genetic algorithm, model-based optimization, experimental optimization, enzymatic synthesis of N-acetyl neuraminic acid, aqueous two-phase system, BS Albumine}, journal = {Chemical and biochemical engineering quarterly}, volume = {18}, number = {2}, issn = {0352-9568}, title = {Model-based and experimental optimization using genetic algorithm}, keyword = {genetic algorithm, model-based optimization, experimental optimization, enzymatic synthesis of N-acetyl neuraminic acid, aqueous two-phase system, BS Albumine} }
@article{article, author = {Findrik, Zvjezdana and Zeli\'{c}, Bruno and Bogdan, Stjepan and Vasi\'{c}-Ra\v{c}ki, \DJur\dja}, year = {2004}, pages = {105-116}, keywords = {genetic algorithm, model-based optimization, experimental optimization, enzymatic synthesis of N-acetyl neuraminic acid, aqueous two-phase system, BS Albumine}, journal = {Chemical and biochemical engineering quarterly}, volume = {18}, number = {2}, issn = {0352-9568}, title = {Model-based and experimental optimization using genetic algorithm}, keyword = {genetic algorithm, model-based optimization, experimental optimization, enzymatic synthesis of N-acetyl neuraminic acid, aqueous two-phase system, BS Albumine} }

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)





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