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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)

    ARTICLE IN PRESS

    www.elsevier.com/locate/jcrysgro

    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).

    http://www.elsevier.com/locate/jcrysgrohttp://www.elsevier.com/locate/jcrysgro

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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

    ARTICLE IN PRESS

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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

    2=N 

    ( )1=2, (12)

    ARTICLE IN PRESS

    Fig. 1. Solubility of xylitol in methanol–water system.

    H. Hao et al. / Journal of Crystal Growth 290 (2006) 192–196 194

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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 

    ARTICLE IN PRESS

    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.

    H. Hao et al. / Journal of Crystal Growth 290 (2006) 192–196    195

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