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Pregled bibliografske jedinice broj: 309294

Optimization of the culture medium for the bioethanol production using genetic algorithm


Zelić, Bruno; Vrsalović Presečki, Ana; Findrik, Zvjezdana; Vasić-Rački, Đurđa
Optimization of the culture medium for the bioethanol production using genetic algorithm // Book of Abstracts of the 6th European Congress of Chemical Engineering : ECCE-6 ; Vol. 1 / Gani, Rafiqul ; Dam-Johansen, Kim (ur.).
Kopenhagen: Technical University of Denmark, 2007. str. 629-630 (poster, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 309294 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Optimization of the culture medium for the bioethanol production using genetic algorithm

Autori
Zelić, Bruno ; Vrsalović Presečki, Ana ; Findrik, Zvjezdana ; Vasić-Rački, Đurđa

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstracts of the 6th European Congress of Chemical Engineering : ECCE-6 ; Vol. 1 / Gani, Rafiqul ; Dam-Johansen, Kim - Kopenhagen : Technical University of Denmark, 2007, 629-630

ISBN
978-87-91435-56-0

Skup
European Congress of Chemical Engineering (6 ; 2007)

Mjesto i datum
Kopenhagen, Danska, 16.09.2007. - 20.09.2007

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
bioethanol; fermentation; Saccharomyces cerevisiae; optimization; genetic algorithm

Sažetak
Fuel ethanol, which has a higher octane rating than gasoline, accounts for approximately two-thirds of the world’ s total annual ethanol production of more than 31 billion liter. The primary reasons for considering the expanded use of biofuel ethanol concern sustainable resource supply, enhanced security and the realization of macroeconomic benefits for rural communities and the economy at large. Bioethanol is generally produced from the fermentation of sugar or materials that can be converted into sugar such as starch or cellulose, with the ethanol extracted in its final form by distillation. One of the basic problems in the bioprocesses development is the optimization of initial experimental conditions. Considering that, there is a great deal of parameters that can influence the outcome of bioprocess, it is of general concern to find a good optimization method. Genetic algorithm (GA) is a stochastic optimization method based on the principals of evolution. Experimental optimization using GA was applied to investigate influence of the composition of synthetic culture medium on fermentation of sugars in the bioethanol production process.

Izvorni jezik
Engleski

Znanstvena područja
Biotehnologija



POVEZANOST RADA


Projekti:
125-1252086-2793 - Biokatalizatori i biotransformacije (Vasić-Rački, Đurđa, MZOS ) ( CroRIS)

Ustanove:
Fakultet kemijskog inženjerstva i tehnologije, Zagreb


Citiraj ovu publikaciju:

Zelić, Bruno; Vrsalović Presečki, Ana; Findrik, Zvjezdana; Vasić-Rački, Đurđa
Optimization of the culture medium for the bioethanol production using genetic algorithm // Book of Abstracts of the 6th European Congress of Chemical Engineering : ECCE-6 ; Vol. 1 / Gani, Rafiqul ; Dam-Johansen, Kim (ur.).
Kopenhagen: Technical University of Denmark, 2007. str. 629-630 (poster, međunarodna recenzija, sažetak, znanstveni)
Zelić, B., Vrsalović Presečki, A., Findrik, Z. & Vasić-Rački, Đ. (2007) Optimization of the culture medium for the bioethanol production using genetic algorithm. U: Gani, R. & Dam-Johansen, K. (ur.)Book of Abstracts of the 6th European Congress of Chemical Engineering : ECCE-6 ; Vol. 1.
@article{article, author = {Zeli\'{c}, Bruno and Vrsalovi\'{c} Prese\v{c}ki, Ana and Findrik, Zvjezdana and Vasi\'{c}-Ra\v{c}ki, \DJur\dja}, year = {2007}, pages = {629-630}, keywords = {bioethanol, fermentation, Saccharomyces cerevisiae, optimization, genetic algorithm}, isbn = {978-87-91435-56-0}, title = {Optimization of the culture medium for the bioethanol production using genetic algorithm}, keyword = {bioethanol, fermentation, Saccharomyces cerevisiae, optimization, genetic algorithm}, publisher = {Technical University of Denmark}, publisherplace = {Kopenhagen, Danska} }
@article{article, author = {Zeli\'{c}, Bruno and Vrsalovi\'{c} Prese\v{c}ki, Ana and Findrik, Zvjezdana and Vasi\'{c}-Ra\v{c}ki, \DJur\dja}, year = {2007}, pages = {629-630}, keywords = {bioethanol, fermentation, Saccharomyces cerevisiae, optimization, genetic algorithm}, isbn = {978-87-91435-56-0}, title = {Optimization of the culture medium for the bioethanol production using genetic algorithm}, keyword = {bioethanol, fermentation, Saccharomyces cerevisiae, optimization, genetic algorithm}, publisher = {Technical University of Denmark}, publisherplace = {Kopenhagen, Danska} }




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