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N. Paludo et al. / Ultrasonics Sonochemistry xxx (2014) xxx–xxx
interaction between phases in a system by cavitation caused by the
collapse of bubbles, whereas the ultrasonic jet disrupts the bound-
ary phase and causes emulsification [15–17]. When applied in
aqueous solutions or suspensions, ultrasound increases mixing,
shearing, and mass transfer rate of the system, reducing process
time when compared with other conventional mixing techniques
[18,19]. In biotechnological processes, ultrasound has been applied
for some enzymatic reactions, wastewater treatment and biofuels
production, with very good results [18,20–22]. While some reports
have shown the positive influence of ultrasound on the kinetic
parameters of esterification reactions catalyzed by enzymes [23–
25], its application in this field remains scarcely explored, and
few reports for lipase-catalyzed flavor esters syntheses are found
in the literature. In a previous work of our group, the use of ultra-
sounds for the esterification of acetic acid and butanol catalyzed by
immobilized lipase B from Candida antarctica (Novozym 435),
allowed us to use higher acetic acid concentrations when com-
pared to systems where mechanical agitation was employed,
increasing the overall reaction productivity by 7.5-fold [26].
In the present work, we investigate the influence of ultrasound
energy on the esterification reaction between butyric acid and eth-
anol using hexane as solvent, catalyzed by the commercial immo-
bilized preparation of the lipase from Thermomyces lanuginosus,
using as support an ionic-exchange resin (Lipozyme TL-IM). Lipase
from T. lanuginosus has been chosen because it is among the most
used lipases, showing high stability [27]. It was also performed the
optimization of the reaction as well as the analysis of the effect of
the use of molecular sieves on the reaction performance and the
possibilities of the reuse of the biocatalyst.
the optimal conditions for esterification reaction. The variables
and their coded and uncoded values are presented in Table 1,
showing the 11 treatments of the two variables, each at five levels.
The design was constructed of 4 factorial points, 4 axial points (two
axial points on the axis of design variable), and 3 replications at the
central point. The mixtures of butyric acid (0.7 M), ethanol, and
Lipozyme TL-IM were placed in the ultrasonic bath for 5 h. The bio-
catalyst content and temperature were varied according to the
CCD. In each case, the esterification percentage of conversion (or
yield) was determined. The second-order polynomial equation for
the variables was as follows:
X
X
X
Y ¼ b0 þ
biXi þ
bijXiXj þ
biiX2
ð1Þ
i
where Y is the response variable, b0 the constant, bi, bii, bij were the
coefficients for the linear, quadratic, and for the interaction effects,
respectively, and Xi and Xj the coded level of variables xi and xj. The
above quadratic equation was used to plot surfaces for all variables.
2.5. Effect of molecular sieves
The effect of molecular sieves in the reaction was evaluated
varying the concentration from 0 to 120 mg of molecular sieves
per mmol of butyric acid. The mixtures of butyric acid and ethanol
(both at 0.7 M), and Lipozyme TL-IM (35%, by substrates mass)
were placed in the ultrasonic bath at 30 °C for 6 h.
2.6. Enzyme reuse
In order to test the possibility of reusing the biocatalyst several
times, which is important for the economics of enzymatic reac-
tions, repeated reaction batches were devised using the same prep-
aration. After one esterification reaction, the immobilized enzyme
was separated from the reaction medium by vacuum filtration
using a sintered glass funnel and reused in a new fresh reaction
without any further treatment.
2. Material and methods
2.1. Materials
Commercial immobilized lipase from T. lanuginosus (Lipozyme
TL-IM) was used in this work and it was kindly supplied by Novo-
zymes (Spain). Molecular sieves (3 Å, beads 4–8 mesh), butyric
acid, ethanol, and other chemicals were of analytical grade and
purchased from Sigma–Aldrich (Sigma, St. Louis, USA).
2.7. Statistical analysis
Experiments were performed in triplicates and mean with the
standard errors were plotted in the figures. The experimental
design and analysis of results were carried out using Statistica
7.0 (Statsoft, USA). The statistical analysis of the model was per-
formed as analysis of variance (ANOVA). The significance of the
regression coefficients and the associated probabilities, p(t), were
determined by Student’s t-test; the second order model equation
significance was determined by Fisher’s F-test. The variance
explained by model is given by the multiple determination coeffi-
cients, R2. For each variable, the quadratic models were repre-
sented as contour plots.
2.2. Ultrasound-assisted esterification
The esterification reactions were carried out in an ultrasonic
bath (Unique Inc., model USC 2880A, 40 kHz, 220 W, Brazil). The
mixture of butyric acid, ethanol and enzymes were placed in the
ultrasonic bath at the desired temperature for different times.
The progress of esterification was monitored by determining the
residual acid content of the reaction by titration of 0.5 mL samples
with NaOH (0.01 M) using phenolphthalein as indicator and 5 mL
of ethanol as quenching agent. The amount of ester produced
was calculated as being equivalent to the amount of consumed
acid.
Table 1
2.3. Effect of substrates concentrations
Coded levels, real values (in the parenthesis) and results of CCD.
In order to evaluate the effect of substrates concentrations on
the reaction, butyric acid and ethanol concentrations (maintaining
a molecular ratio of 1) were varied from 0.1 to 1.0 M, measuring
the initial reaction rate. The mixtures of butyric acid, ethanol,
and Lipozyme TL-IM (35%, by substrates mass) were placed in
the ultrasonic bath at 40 °C.
Run
Temperature (°C)
Substrate molar ratio (alcohol:acid)
Yield (%)
1
2
3
4
5
6
7
8
9
ꢀ1 (34.5)
ꢀ1 (34.5)
1 (55.5)
1 (55.5)
ꢀ1.41 (30)
1.41 (60)
0 (45)
0 (45)
0 (45)
0 (45)
0 (45)
ꢀ1 (1.3:1)
1 (2.7:1)
ꢀ1 (1.3:1)
1 (2.7:1)
0 (2:1)
53.7
34.9
18.7
13.2
62.5
15.1
34.5
36.7
25.3
21.7
24.6
0 (2:1)
ꢀ1.41 (1:1)
1.41 (3:1)
0 (2:1)
0 (2:1)
0 (2:1)
2.4. Experimental design
10
11
A central composite design (CCD) with two variables, tempera-
ture and substrate molar ratio, was carried out in order to obtain
Please cite this article in press as: N. Paludo et al., The combined use of ultrasound and molecular sieves improves the synthesis of ethyl butyrate catalyzed