Synthesis of butyl-β- d -galactoside with commercial β-galactosidases

Effect of product partition on the synthesis of butyl-β-D-galactoside from Aspergillus oryzae

The effect of donor substrate and products partitioning on the performance of butyl-β-galactoside synthesis with Aspergillus oryzae β-galactosidase was studied. Firstly, the partition coefficient of the donor substrate (lactose) and the reaction products (glucose, galactose and butyl-β-galactoside) were determined in the aqueous and organic phases of the reaction medium. In the temperature range studied (30 to 50 °C), butyl β-galactoside was roughly 130 and 30-fold more soluble in the organic phase than lactose and the monosaccharides, respectively. Afterward, the effect of the 1-butanol/ aqueous phase ratio (α) on the reaction was evaluated in the range from 0.25 to 4. Results show that higher values of α reduce the incidence of secondary hydrolysis by favoring the extraction of butyl-β-galactoside into the organic phase where it is not hydrolyzed, leading to higher yields. Also, major interfacial properties for butyl-β-galactoside were determined at 25 °C.

Synthesis of Butyl-β-D-Galactoside in the Ternary System: Acetone/1-Butanol/Aqueous Solution

The enzymatic synthesis of short-tailed alkyl glucosides is generally carried out in an aqueous-organic biphasic reaction medium with a rather low fatty alcohol concentration in the aqueous phase (where the synthesis occurs). Thus, hydrolytic reactions have a significant impact on the synthesis performance. Given this background, the use of acetone as cosolvent was studied for the synthesis of butyl-β-galactoside with Aspergillus oryzae β-galactosidase. The liquid-liquid equilibrium of the reaction mixture components (acetone/1-butanol/aqueous solution) was determined and the single- and two-phase regions were defined at 30, 40, and 50°C. It was observed that the liquid-liquid equilibrium of the ternary system acetone/1-butanol/water differs significantly from the one obtained using an aqueous solution (50 mM McIlvaine buffer pH 4.5; 5 g L^-1) instead of water. This is mainly because of the salting-out effect of the buffer; nevertheless, the presence of lactose also altered the equilibrium. Having this in mind, the effects of temperature (30 and 50°C) and reaction mixture composition were assessed. Three general conditions were evaluated: single-phase ternary system (30% acetone), two-phase ternary system (10% acetone) and two-phase binary system (0% acetone). Acetone had a deleterious effect on enzyme stability at 50°C, leading to low reaction yields. However, no enzyme deactivation was detected at 30°C. Moreover, a reaction yield of 0.98 mol mol^-1 was attained in the 30/50/20% (w/w) mixture of acetone/1-butanol/aqueous solution. This very high yield can be explained by the huge increase in the concentration of 1-butanol and the reduction of water activity. The synthesis was carried out using also the β-galactosidase immobilized in glyoxal-agarose and amino-glyoxal-agarose, and by aggregation and crosslinking. In the case of agarose-derived catalysts, two average particle diameters were assessed to evaluate the presence of internal mass transfer limitations. Best yield (0.88 mol mol^-1) was obtained with glyoxal-agarose derivatives and the particle size had non-effect on yield. The chemical structure of butyl-β-galactoside was determined by NMR and FT-IR.

Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology

A statistical approach with D-optimal design was used to optimize the process parameters for polycaprolactone (PCL) synthesis. The variables selected were temperature (50°C-110°C), time (1-7 h), mixing speed (50-500 rpm) and monomer/solvent ratio (1:1-1:6). Molecular weight was chosen as response and was determined using matrix-assisted laser desorption/ionization time of flight (MALDI TOF). Using the D-optimal method in design of experiments, the interactions between parameters and responses were analysed and validated. The results show a good agreement with a minimum error between the actual and predicted values.