hao 2006
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Journal of Crystal Growth 290 (2006) 192–196
Effect of solvent on crystallization behavior of xylitol
Hongxun Haoa,b,, Baohong Houa, Jing-Kang Wanga, Guangyu Lina
aSchool of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, P.R. ChinabPostdoctor Station of Tianjin Economic–Technological Development Area, Tianjin 300457, P.R. China
Received 8 July 2005; received in revised form 12 December 2005; accepted 22 December 2005
Available online 3 February 2006
Communicated by M. Uwaha
Abstract
Effect of organic solvents content on crystallization behavior of xylitol was studied. Solubility and crystallization kinetics of xylitol in
methanol–water system were experimentally determined. It was found that the solubility of xylitol at various methanol content all
increases with increase of temperature. But it decreases when increasing methanol content at constant temperature. Based on the theory
of population balance, the nucleation and growth rates of xylitol in methanol–water mixed solvents were calculated by moments method.
From a series of experimental population density data of xylitol gotten from a batch-operated crystallizer, parameters of crystal
nucleation and growth rate equations at different methanol content were got by the method of nonlinear least-squares. By analyzing, it
was found that the content of methanol had an apparent effect on nucleation and growth rate of xylitol. At constant temperature, the
nucleation and growth rate of xylitol all decrease with increase of methanol content.
r 2006 Elsevier B.V. All rights reserved.
PACS: 81.10.Aj; 81.10.Dn; 82.60.Lf
Keywords: A1. Crystallization kinetics; A1. Growth rate; A1. Nucleation rate; A1. Population balance equation; A1. Solubility; B1. Xylitol
1. Introduction
Solvent has a strong influence on the crystallization
behavior of crystalline materials. Solvent can influence the
solubility and the crystallization kinetics (crystal nucleation
and growth rate) of crystalline materials in solutions [1,2].
However, the role played by solvent–solvent interactions in
enhancing or inhibiting crystal nucleation and growth is
still not completely resolved. It has been showed that
favorable interactions between solute and solvent on a
specific face lead to reducing the interfacial tension, causinga transition from a smooth to a rough interface and a
concomitant faster surface growth [3,4].
Xylitol is an important sweetener which is one kind of
sugar substitute. The main branches of xylitol use are food
production, perfumery, pharmaceutics and chemistry. In
industrial manufacture, xylitol is crystallized from solution
as the final step. So, crystallization is a key step since, in
many respects, it determines the yield and quality of the
target product [5–7]. In order to choose proper solvents
and to design an optimized crystallizer, it is necessary to
know the effect of solvents on xylitol solubility and
crystallization kinetics. However, it was found that no
one has studied the effect of solvent on crystallization
behavior of xylitol. In this paper, the solubility and
crystallization kinetics of xylitol in methanol–water systemwere experimentally determined. The effects of methanol
content on solubility, nucleation and growth rate of xylitol
were discussed.
2. Theory
The nucleation rate per unit mass of solvent is
represented by the empirical expression [8]
B 0 ¼ K b DC bM i T. (1)
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0022-0248/$ - see front matterr 2006 Elsevier B.V. All rights reserved.
doi:10.1016/j.jcrysgro.2005.12.099
Corresponding author. State Research Center of Industrialization for
Crystallization Technology (SRCICT), School of Chemical Engineering
and Technology, Tianjin University, Tianjin 300072, PR China. Tel.:
+8622 27405754; fax: +8622 27374971.
E-mail addresses: [email protected], [email protected]
(H. Hao).
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The nucleation rate constant K b may depend on many
variables, in particular temperature, hydrodynamics, pre-
sence of impurities and, perhaps, crystal properties. The
magma density term M T in the kinetic expression is
included to account for the secondary nucleation effect.
The overall linear growth rate per unit mass of solvent is
expressed as [9]
G ¼ K g DC g. (2)
The overall growth rate constant K g would be expected to
depend on variables such as temperature, crystal size,
hydrodynamics and presence of impurities.
For a well-mixed batch crystallizer in which the particle
size only changes owing to crystal growth (i.e. both
agglomeration and breakage disruption are neglected)
and there is no change of crystallizer volume, the
differential number balance [2] can be expressed in terms
of population density n(L) by
qnðLÞ
qt þ
d½G ðLÞ nðLÞ
dL ¼ 0, (3)
where G (L) is crystal linear growth rate, n(L) is population
density and L is crystal size.
If McCabe DL law holds, the crystal growth rate is size-
independent; Eq. (3) can be changed into [10,11]
qnðLÞ
qt þ G
d½nðLÞ
dL ¼ 0. (4)
The j -th moment of population density n(L) can be
defined as
m j ¼
Z 10
nL j dL ð j ¼ 0; 1; 2; . . .Þ. (5)
The moment equations for crystal obtained by moment
transformation of the population balance Eq. (4) with
respect to size are
dm0dt
¼ B 0, (6)
dm j
dt ¼ j m j 1 G ð j ¼ 1; 2; 3; . . .Þ. (7)
By replacing the derivatives with differentials, the
nucleation and growth rate can be calculated from
B 0 ¼Dm0
Dt , (8)
G j ; j 1 ¼Dm j
j m j 1 Dt. (9)
From crystal nucleation and growth rate, magma density
and supersaturation data of different moment, the kinetics
parameters of Eqs. (1) and (2) can be calculated by
nonlinear least-square method.
3. Experiments
3.1. Materials
A crystal of xylitol, with a melting/decomposition point
of 94.6 (70.5) 1C, was prepared by recrystallization from
aqueous solution. Its purity is higher than 99.9 mass%. Itwas dried in vacuo at 501C for 48 h and stored in a
desiccator. Methanol used for experiments was of analy-
tical reagent grade. It was dehydrated with molecular
sieves, and its purity was higher than 99.8 mass% checked
by gas chromatography. Distilled, deionized water of
HPLC grade was used.
3.2. Measurement of solubility
Solubility of xylitol was measured by the last crystal
disappearance method. Laser monitoring observation
technique was used to determine the disappearance of the
last crystal in solid + liquid mixtures. The laser monitoring
system consists of a laser generator, a photoelectric
transformer and a recorder. The equilibrium cell is a
cylindrical double-jacketed glass vessel. A constant desired
temperature was maintained by circulating water through
the outer jacket from a thermostat. The uncertainty in
temperature was 70.05 K. The cell has a perforated rubber
cover plate to prevent the solvent from evaporating,
through which a mercury thermometer with an uncertainty
of 70.05 K was inserted into the inner chamber of the
vessel. The mixtures of solute and solvent in the vessel were
stirred with a magnetic stirrer. The masses of the solvent
and solute were weighed using an analytical balance withan accuracy of 70.0001 g.
In experiments, known masses of xylitol solid and
solvent were transferred into the equilibrium vessel. The
solid + liquid mixtures were maintained at a fixed
temperature for about 1 h. Then, the solid + liquid
mixtures were heated slowly at rates less than 2 K/h with
continuous stirring. This procedure was repeated until the
last crystal disappeared completely. This process lasts more
than 6 h. In the early stage of the experiment, the laser
beam was blocked by the undissolved particles of xylitol in
the solution, so the intensity of laser beam penetrating the
vessel was low. The intensity increased gradually along
with the increase of the amount of xylitol dissolved. When
the last portion of xylitol disappeared, the intensity of laser
beam penetrating the vessel reached a maximum. The
temperature was recorded as the saturation temperature of
xylitol and the solubility expressed in g solute/g solvent was
calculated. The same solubility experiment was conducted
two times. The confidence of the solubility values is about
96%.
3.3. Measurement of kinetics
A series of batch crystallization experiments were carried
out in a 500 ml double-jacketed glass crystallizer. The
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supersaturation was produced by decreasing the tempera-
ture. The solution was mechanically agitated using an four-
blade, pitch-type impeller located in the center of the
crystallizer. The impeller rotation speeds were maintained
at 330 rpm. Temperature control within the crystallizer was
achieved by pumping constant temperature water con-
tinuously through the hollow draft tube at the maximumpossible rate. The temperature difference between the
solution and the constant temperature water was about
0.1 1C and, in this way, the crystallizer temperature in all
runs was controlled to within 70.1 1C. In a typical run, a
hot filtered solution of xylitol in methanol–water-mixed
solvents was charged into the crystallizer. The solution was
initially maintained about 10 1C above the saturation
temperature and the concentration of initial solution was
measured. Initial supersaturation was achieved by slow
cooling. When the temperature is between saturation
temperature and supersaturation temperature, pre-sized
accurately weighed seeds of uniform size were charged into
the crystallizer. Slurry sample (5 ml) was withdrawn from
the crystallizer using a micropipette. About 15 samples
were taken over a period of about 4 h, the time interval
between samples ranging from 10 min at the beginning up
to a maximum of 30 min at the end of the run. The samples
were subsequently used for crystal size distribution (CSD)
and solution concentration analysis. Malvern Mastersizer
(MAM5005) by Malvern Instruments Limited was used to
measure the CSD of xylitol which was sampled out. The
size analysis was performed twice on the same sample. The
population density was calculated by
ni ¼ M T DV i
k v rc ¯ L3
i DLi , (10)
where DV i is volume percentage of crystals falling into the
i th size range k v is volume shape factor; rc is density of
xylitol; M T is magma density; DLi is width of i th size range;
and ¯ Li is average size of crystal in i th size range.
After running the crystallizer for about 5 h, the entire
contents were removed and filtered, the product crystals
were air-dried and size-analyzed.
4. Results and discussion
4.1. Solubility
Solubility is basic thermodynamics data involved in
crystallization processes. The solubility of xylitol in
methanol–water system at different methanol content X
is presented in Fig. 1. From the figure, it can be seen that
the solubility of xylitol increases with raising temperature
in methanol–water system at various methanol content. It
was also found that the presence of methanol has anapparent effect on the solubility of xylitol. The solubility of
xylitol decreases quickly with increase of methanol content.
The temperature dependence of xylitol solubility in
methanol–water system at different methanol content is
described by the empirical Eq. (7)
C n ¼ A þ Bt þ Ct2, (11)
where C * is the solubility of xylitol, t is Celsius temperature
and A, B , C are parameters. The values of parameters A, B ,
C and the mean square error (MSE) are listed in Table 1.
The MSE is defined as
MSE ¼Xni ¼1
ðC ni C n
c Þ=C n
i
2=N
( )1=2, (12)
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Fig. 1. Solubility of xylitol in methanol–water system.
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where N is number of experimental points; C i * is
solubilities calculated from Eq. (11); and C c* is experimental
values of solubility. The calculated results show satisfac-
tory agreement with the experimental data.
4.2. Crystallization kinetics
In all experiments, the typical CSD of final xylitol crystal
is shown in Fig. 2. The typical SEM photograph of final
xylitol crystal is also given in Fig. 3. From Fig. 3, it can be
seen that the shape of xylitol crystal is rounded, and
breakage and agglomeration of it is neglectable. From aseries of experimental CSD data of xylitol, the population
density of it can be calculated by Eq. (10). Then, the crystal
nucleation and growth rate of xylitol at different conditions
can be determined by moments method. The values of the
parameters of Eqs. (1) and (2) for xylitol in methanol–-
water system at different methanol content are presented in
Table 2. The relationship of nucleation and growth rate
with supersaturation is depicted in Fig. 4. From Table 2, it
can be seen that the nucleation rate parameters K b and
growth rate parameter K g decrease with increase of
methanol content, but the nucleation rate parameters b
and i and growth rate parameters g increase with increasing
methanol content. So, we can conclude that the existence of
methanol has an obvious effect on nucleation and growth
of xylitol. The values of parameters b (6–7.1) and i (4.7–6)
of nucleation rate are especially high. The reason maybe is
that the crystallization of xylitol is a high-viscosity and
high-magma-density process, and the secondary nucleation
rate is very large. From Fig. 4, it also can be seen that the
nucleation and growth rate of xylitol decrease with the
increase of xylitol content at same supersaturation. As we
know, the solubility of xylitol in methanol–water system
decreases with increase of methanol content. This resulted
in the decrease of the xylitol molecules per unit volume
solution with the increase of methanol content. So, thecollision probability of xylitol molecules in solution
decreases with the increase of methanol content [12]. This
is maybe the reason that the growth and nucleation rate of
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Table 1Values of parameters A, B , C , and the mean square error of Eq. (11)
Methanol content
X (%)
A 10B 103C 102MSE
0.0 1.704 0.412 1.87 3.40
33.3 1.474 0.527 1.87 2.06
50.0 1.485 0.601 1.71 1.78
66.7 1.789 1.05 2.27 2.88
Fig. 2. Typical CSD of xylitol crystal.
Fig. 3. Typical SEM photograph of xylitol crystal.
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