Kinetic Model for Galacto-Oligosaccharide Synthesis
Samo za registrovane korisnike
2022
Autori
Pravilović, RadoslavaTodić, Branislav
Simović, Milica
Banjanac, Katarina
Bezbradica, Dejan
Nikačević, Nikola
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
A new micro-kinetic model is proposed for galacto-oligosaccharide (GOS) synthesis with β-galactosidase from Aspergillus oryzae. Several kinetic models with similar reaction mechanisms, i.e., steps and kinetic constants, have been investigated covering a range of initial lactose (20-40 wt %) and enzyme concentrations (0.5-2 mg/mL). The kinetic parameters were estimated simultaneously for all experimental results using a hybrid genetic algorithm. A detailed analysis of the effect of process parameters on the concentrations of lactose and GOS is performed. The proposed model has a very good quantitative fit of the experimental data, with an average error of 9.34%. More importantly, qualitative trends for the change in the concentration of lactose and GOS are predicted excellently, especially if one takes into account the variation of both concentrations of enzyme and lactose in a range wider than reported in the literature to date. Also, the analysis between the two comparative reactions ...of transglycosylation and lactose hydrolysis confirmed the positive effect of increasing lactose concentration on the production of GOS. On the other hand, a higher enzyme concentration resulted in a faster production of GOS but with more intensive decomposition at longer reaction times.
Izvor:
Industrial and Engineering Chemistry Research, 2022, 61, 38, 14189-14198Izdavač:
- American Chemical Society
Finansiranje / projekti:
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200135 (Univerzitet u Beogradu, Tehnološko-metalurški fakultet) (RS-MESTD-inst-2020-200135)
Kolekcije
Institucija/grupa
Tehnološko-metalurški fakultetTY - JOUR AU - Pravilović, Radoslava AU - Todić, Branislav AU - Simović, Milica AU - Banjanac, Katarina AU - Bezbradica, Dejan AU - Nikačević, Nikola PY - 2022 UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/5226 AB - A new micro-kinetic model is proposed for galacto-oligosaccharide (GOS) synthesis with β-galactosidase from Aspergillus oryzae. Several kinetic models with similar reaction mechanisms, i.e., steps and kinetic constants, have been investigated covering a range of initial lactose (20-40 wt %) and enzyme concentrations (0.5-2 mg/mL). The kinetic parameters were estimated simultaneously for all experimental results using a hybrid genetic algorithm. A detailed analysis of the effect of process parameters on the concentrations of lactose and GOS is performed. The proposed model has a very good quantitative fit of the experimental data, with an average error of 9.34%. More importantly, qualitative trends for the change in the concentration of lactose and GOS are predicted excellently, especially if one takes into account the variation of both concentrations of enzyme and lactose in a range wider than reported in the literature to date. Also, the analysis between the two comparative reactions of transglycosylation and lactose hydrolysis confirmed the positive effect of increasing lactose concentration on the production of GOS. On the other hand, a higher enzyme concentration resulted in a faster production of GOS but with more intensive decomposition at longer reaction times. PB - American Chemical Society T2 - Industrial and Engineering Chemistry Research T1 - Kinetic Model for Galacto-Oligosaccharide Synthesis EP - 14198 IS - 38 SP - 14189 VL - 61 DO - 10.1021/acs.iecr.2c02053 ER -
@article{ author = "Pravilović, Radoslava and Todić, Branislav and Simović, Milica and Banjanac, Katarina and Bezbradica, Dejan and Nikačević, Nikola", year = "2022", abstract = "A new micro-kinetic model is proposed for galacto-oligosaccharide (GOS) synthesis with β-galactosidase from Aspergillus oryzae. Several kinetic models with similar reaction mechanisms, i.e., steps and kinetic constants, have been investigated covering a range of initial lactose (20-40 wt %) and enzyme concentrations (0.5-2 mg/mL). The kinetic parameters were estimated simultaneously for all experimental results using a hybrid genetic algorithm. A detailed analysis of the effect of process parameters on the concentrations of lactose and GOS is performed. The proposed model has a very good quantitative fit of the experimental data, with an average error of 9.34%. More importantly, qualitative trends for the change in the concentration of lactose and GOS are predicted excellently, especially if one takes into account the variation of both concentrations of enzyme and lactose in a range wider than reported in the literature to date. Also, the analysis between the two comparative reactions of transglycosylation and lactose hydrolysis confirmed the positive effect of increasing lactose concentration on the production of GOS. On the other hand, a higher enzyme concentration resulted in a faster production of GOS but with more intensive decomposition at longer reaction times.", publisher = "American Chemical Society", journal = "Industrial and Engineering Chemistry Research", title = "Kinetic Model for Galacto-Oligosaccharide Synthesis", pages = "14198-14189", number = "38", volume = "61", doi = "10.1021/acs.iecr.2c02053" }
Pravilović, R., Todić, B., Simović, M., Banjanac, K., Bezbradica, D.,& Nikačević, N.. (2022). Kinetic Model for Galacto-Oligosaccharide Synthesis. in Industrial and Engineering Chemistry Research American Chemical Society., 61(38), 14189-14198. https://doi.org/10.1021/acs.iecr.2c02053
Pravilović R, Todić B, Simović M, Banjanac K, Bezbradica D, Nikačević N. Kinetic Model for Galacto-Oligosaccharide Synthesis. in Industrial and Engineering Chemistry Research. 2022;61(38):14189-14198. doi:10.1021/acs.iecr.2c02053 .
Pravilović, Radoslava, Todić, Branislav, Simović, Milica, Banjanac, Katarina, Bezbradica, Dejan, Nikačević, Nikola, "Kinetic Model for Galacto-Oligosaccharide Synthesis" in Industrial and Engineering Chemistry Research, 61, no. 38 (2022):14189-14198, https://doi.org/10.1021/acs.iecr.2c02053 . .