Modified DIX model for ion-exchange equilibrium of l -phenylalanine on a strong cation-exchange resin

Modified DIX model for ion-exchange equilibrium of l -phenylalanine on a strong cation-exchange resin

    Modified DIX Model for Ion-exchange Equilibrium of L- phenylalanine on a Strong Cation-exchange Resin Jinglan Wu, Pengfei Jiao, Wei Z...

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    Modified DIX Model for Ion-exchange Equilibrium of L- phenylalanine on a Strong Cation-exchange Resin Jinglan Wu, Pengfei Jiao, Wei Zhuang, Jingwei Zhou, Hanjie Ying PII: DOI: Reference:

S1004-9541(16)30668-1 doi: 10.1016/j.cjche.2016.07.009 CJCHE 626

To appear in: Received date: Revised date: Accepted date:

16 November 2015 16 May 2016 19 May 2016

Please cite this article as: Jinglan Wu, Pengfei Jiao, Wei Zhuang, Jingwei Zhou, Hanjie Ying, Modified DIX Model for Ion-exchange Equilibrium of L- phenylalanine on a Strong Cation-exchange Resin, (2016), doi: 10.1016/j.cjche.2016.07.009

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ACCEPTED MANUSCRIPT Separation Science and Engineering Modified DIX Model for Ion-exchange Equilibrium of

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L- phenylalanine on a Strong Cation-exchange Resin#

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Jinglan Wua,b,c, Pengfei Jiaoa,b,c, Wei Zhuanga,b,c, Jingwei Zhoua,b,c,

College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University,

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a

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Hanjie Yinga,b,c,d

Nanjing, China

d

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Jiangsu National Synergetic Innovation Center for Advanced Material State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing, China

Article history:

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c

National Engineering Technique Research Center for Biotechnology, Nanjing, China

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b

Received 16 November 2015

Received in revised form 16 May 2016

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Accepted 19 May 2016 Available online xxxx

#

Supported by the Program for Changjiang Scholars and Innovative Research Team in University (Grant No.

IRT1066), National Natural Science Foundation of China (Grant No. 21306086), and Applied Basic Research Programs of Science and Technology Commission Foundation of Jiangsu Province (Grant No. BK20151452).

*

Corresponding author. Prof. Hanjie Ying, Tel.: +86 25 86990001; fax: +86 25

58139389; E-mail address: [email protected] (H. Ying). 1

ACCEPTED MANUSCRIPT Abstract L-phenylalanine, one of the nine essential amino acids for the human body, is extensively used as an ingredient in food, pharmaceutical and nutrition industries. A

ion-exchange

chromatography.

In

this

work,

the

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suitable equilibrium model is required for purification of L-phenylalanine based on equilibrium

uptake

of

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L-phenylalanine on a strong acid-cation exchanger SH11 was investigated experimentally and theoretically. A modified Donnan ion-exchange (DIX) model, which takes the activity into account, was established to predict the uptake of

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L-phenylalanine at various solution pH values. The model parameters including selectivity and mean activity coefficient in the resin phase are presented. The

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modified DIX model is in good agreement with the experimental data. The optimum operating pH value of 2.0, with the highest L-phenylalanine uptake on the resin, is

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predicted by the model. This basic information combined with the general mass

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bed separation process.

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transfer model will lay the foundation for the prediction of dynamic behavior of fixed

Keywords: Ion-exchange equilibrium; L-phenylalanine; Mathematical modeling;

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Chromatography; Mean ionic activity coefficient

2

ACCEPTED MANUSCRIPT 1. Introduction Amino acids are important biomolecules. They can be used as precursors of proteins and other metabolic products, and also contribute to the production of

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metabolic energy by oxidative degradation. All human proteins are different connection sequences of twenty types of amino acids encoded by DNA. Currently, all

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the amino acids have been marketed and their use in pharmaceutical, health and food industries has increased significantly [1-3]. L-phenylalanine is a non-polar aromatic amino acid, classified as essential, and extensively used as an ingredient in food,

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pharmaceutical and nutrition industries. It is used in a large quantity for the synthesis of artificial sweetener aspartame, which is an ingredient in diet-labeled drinks and

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food [4].

Ion-exchange chromatography has been used in the separation and purification of

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L-phenylalanine from fermentation broths since 1960s [5]. The optimal design of

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fixed-bed exchangers requires accurate modeling for ion-exchange equilibrium [6]. So far, the Myers and Byington model is usually used to predict exchange equilibrium

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data of L-phenylalanine on ion-exchange resins. In this model the ion exchange is treated as an adsorption process and deviations from the ideal behavior are explained in terms of the energetic heterogeneity of functional groups in the ion exchanger [7-9].

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Dye et al. [10] used this model to predict equilibrium uptake of amino acids on a cation-exchange resin, Amberlite 252, in single- and multi-component systems. Their calculations agreed well with the experimental data. Moreira and Ferreira extended this model to evaluate ion-exchange equilibrium of phenylalanine and tyrosine on both cation- and anion-exchange resins [8]. They successfully simulated the dynamic breakthrough curves [1] and cyclic adsorption/desorption separation processes of amino acids in a fixed-bed ion-exchange column [11]. However, this model assumes that the coions are completely excluded from the resin phase and the non-ideal behavior of selectivity is attributed to the solute-adsorbent rather than solute-solute interactions [12]. As a result, this model can only be applied for prediction of the equilibrium uptake of L-phenylalanine in low concentration range, e.g. less than 20 mmol·L-1 [8]. 3

ACCEPTED MANUSCRIPT The ion-exchange uptake of amino acids has also been predicted with a rigorous model (the Donnan ion-exchange model, DIX model) developed by Jansen et al. [12]. This model is based on equilibrium thermodynamics including the Donnan

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equilibrium. Compared to the Myers and Byington model, the DIX model is more advantageous because it takes into account the uptake of all species, counterions,

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coions, and neutral species, especially when weak electrolytes are involved and when electrolyte concentrations greatly exceed the resin capacity [12]. Consequently, this model can give a convenient description for ion exchange of both strong and weak

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electrolytes over a wide range of concentration and pH values. Nevertheless, since an ideal behavior is still assumed for both coexisting phases, resin and surrounding

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aqueous phase, the mode may lead to erroneous results for liquid-phase equilibrium calculations and prediction of intraparticle properties, such as pH or other component

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activity [13]. Bellot et al. extended the DIX model to actual electrolyte systems by

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introducing activity [13], in which the activity of each component in the liquid phase is evaluated for short-range interactions by using the modified Universal Functional

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Activity Coefficient (UNIFAC) group-contribution model and long-range electrostatic interactions by adding the extended form of the Debye-Hückel equation to the UNIFAC equation, while the behavior of the polymeric phase is described in the

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framework of the extended Flory-Huggins model. This model has been evaluated by prediction of binary and multicomponent exchange equilibrium data for some amino acids

(phenylalanine,

alanine,

proline,

and

glutamate)

on

a

strong-acid

cation-exchange resin [13]. The L-phenylalanine concentration has been extended to 60 mmol•L-1. The equilibrium uptake of L-phenylalanine strongly depends on the pH and ionic strength of the adsorbate solution [8, 14]. The concentration of L-phenylalanine in the fermentation broth is higher than 100 mmol·L-1. Hence the Myers and Byington model is not a proper model to describe the sorption behavior of L-phenylalanine on the ion-exchange resins. The most suitable equilibrium model is the Bellot model, but it is too complex. Three equilibrium uptake isotherms of L-phenylalanine on a strong cation-exchange resin were simulated at Cl- concentrations of 1.0, 10, and 660 4

ACCEPTED MANUSCRIPT mmol·L-1 to validate the model [13], but the model parameters were not given, which impedes its general use. Moreira and Ferreira used the Myers and Byington model to predict the uptake of L-phenylalanine on PK220 at Cl- concentrations of 0.0 and 100

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mmol·L-1. The model

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mmol·L-1, with the L-phenylalanine concentration of 20.0

fitted the experimental results well [8]. With the same model, Dye et al. extended the

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L-phenylalanine concentration to 80 mmol·L-1 at Cl- concentrations of 0.0, 2.0, 7.0 and 170 mmol·L-1, and the deviation was obvious for the concentration of L-phenylalanine higher than 30

mmol·L-1 at Cl- of 170

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that the model is not suitable.

mmol·L-1 [10], indicating

The optimal operating pH, at which the equilibrium uptake of L-phenylalanine has

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a maximum value, plays an essential role in the separation and purification of L-phenylalanine from the fermentation broth. Saunders et al. extended the Myers and

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Byington model to investigate the effect of pH on uptake of L-phenylalanine. Their

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model prediction agreed well with the experimental results at L-phenylalanine concentration of 6.07

mmol·L-1 [7]. With regard to high L-phenylalanine

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concentration, the effect of pH on uptake of L-phenylalanine has not been reported. Thus a modified DIX model is established in this work to predict the L-phenylalanine (with concentration of 120

mmol·L-1) uptake on a strong cation-exchange resin

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SH11 at various solution pH values. This model is an extension of Donnan membrane equilibrium theory [12] and is suitable to predict the equilibrium uptake at high concentrations of adsorbate. The objectives of this work are as follows. (i) Obtain the optimal operating pH for L-phenylalanine sorption at the concentration of its fermentation broth. (ii) Predict the uptakes of all species of L-phenylalanine, i.e., positive-, negative-, and zwitter-ions, at various solution pH values by the proposed model. (iii) Provide the parameters of the proposed model as the fundamental information for the dynamic simulation in the future work. 2. Theory The DIX model for ion-exchange equilibrium is based on the Donnan membrane equilibrium theory. In the model, the resin phase is considered as a homogeneous phase. The solvent and solutes distribute freely over the two phases. The phase 5

ACCEPTED MANUSCRIPT boundary is visualized as a semipermeable membrane, permeable to all species except the functional groups, which are covalently linked to the matrix and stay in the resin phase [12]. The electrostatic interactions between fixed charges (functional groups)

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and mobile charges (ions) in the resin are long-range ones. The modified Debye-Hückel activity coefficient function is used to represent the activity in the

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liquid phase while the activity in the solid phase is obtained empirically. At equilibrium the chemical potential (electrochemical potential for electrolytes) of each component i, μi, is equal in both phases, which leads to

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aR i0 R Tl n iL  vi  zi F   ai

 0

(1)

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where Δμ0 is the electrochemical potential difference between the resin and liquid phase at the standard state, R the gas constant, T the temperature, α the activity, ν

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the partial molar volume assumed to be constant, π the pressure difference or osmotic

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pressure, z the valence, F the Faraday constant, and ∆Φ is the electrical potential difference between the resin and liquid phase (Donnan potential). Indexes R and L

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denote the resin phase and the liquid phase, respectively. This equation is the basis for calculating the resin-phase composition from known liquid phase concentrations. It is set up for phase equilibrium in general without limiting assumptions concerning

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partitioning of neutral species and exclusion of coions, so it applies to counter-ions, co-ions, and neutral species [12]. For both phases the concentrations of component i are related to its activity via the activity coefficient γi as follows.

ai   ci

i

(2)

Starting from Eq. (1), the concentration of each component in the resin phase can be calculated by the following equation, in which index cat and an denote cation and anion ions, respectively. The details of model equations are given elsewhere [12].

a  a 

R 1/ zcat an

R 1/ zcat cat

cat

an

1/ zcat 1/  zan z   L 1/ zcat 1/  zcat zH       acat Scat,H   aanL  San,OHOH    cat an

(3)

In the traditional DIX model [12], a thermodynamically ideal system is assumed, so 6

ACCEPTED MANUSCRIPT the activity equals to the concentration. In this study, the mean ionic activity coefficient γz [15] is introduced to describe the activity.



(4)

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a cat   cat c cat    c cat   a an   an c an    c an  a   z c z cat c z an  cat an 

to 1. Submitting Eq. (4) into Eq. (3) gives

cat

R an

an

γL   R γ

   

2

 C

L cat

cat

Scat ,H 

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C C R cat

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Since all of the ions in the solution are monovalent, the indexes in Eq. (3) are equal

 C

L an

San ,OH 



(5)

an

where S is the selectivity constant, defined as

 L c LH 

 R c RH  L  L c OH 

R  R c OH 

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R R  a LH  a cat  R c cat  Scat ,H   L R  L L a cat a H    c cat   L R R a OH  a an  R c an S    L R L  an ,OH a an a OH  L c an  

R L c cat cH

 

L c cat c RH  R L c an c OH 

(6)

L R c an c OH 

 R L  Ccat  CcatScat ,H    CR  CL S an an ,OH   an 

CRH  CLH  R COH 

(7)

L COH 

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The cation and anion concentrations in the resin phase are written explicitly as

In the strong-acid cation-exchange resin phase, the following equation can be given according to the electroneutrality condition

C

R cat

Q 

cat

C

R an

(8)

an

where Q is the resin capacity. Substitution of Eqs. (7) and (8) into Eq. (5) leads to 2

 C RH    C RH     γL     L L L L  L   C cat Scat ,H    Q L   C cat Scat ,H     L    C cat Scat ,H    C an San ,OH     γ   cat  an   C H   cat  C H   cat

(9) This is a quadratic relation for H+ concentration in the resin phase. Its solution is

CRH  CLH 



Q

Q2  4γAc 2c

(10)

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ACCEPTED MANUSCRIPT with

(11)

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 γL 2   R   γ  γ   L   Ccat Scat ,H   C  cat L  CanSan ,OH   A  an 

in which γ is the mean ionic activity coefficient ratio between resin and liquid phase.

leads to

 

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From Eq. (7) all other anion concentrations in the resin phase can be calculated. This

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 Q  Q 2  4 AC R L c cat  c cat Scat ,H   2C  2 Q  4 AC  Q  R L c an  c an San ,OH  2A

 

(12)

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Once the selectivity constants of ion pairs (S) and the mean ionic activity

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coefficient ratio (γ) are known, complete composition of the resin phase can be calculated from the known concentrations of the liquid phase. In this study, the mmol·L-1). Thus the

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concentration of L-phenylalanine is less than 40 g·L-1 (242.11

mean ionic activity coefficient in the liquid phase (  L ) can be calculated by modified Debye-Hückel activity coefficient function (Eq. 13), which assumes that only electric

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attraction exists among the ions in the solution and the short range interaction can be ignored [16, 17].

log  L   z i z j A D  H

I

(13)

1  1.5 I

where I is the ionic strength, and AD-H is the Debye-Hückel constant. Both of them can be obtained by the following equations [18].

I 

ADH

1 2

xz

2 i i

(14)

i

    1.8252  10  3 w 3   T  6

12

(15) 8

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where xi is the molar ratio of component i in the solution, and ε is the dielectric constant, which is a function of temperature.

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5321  233.76  0.9297T  1.41  10  3 T 2  8.29  10  7 T 3 T

(16)

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 

In the resin phase, it is difficult to calculate the mean ionic activity coefficient for

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molar ratios are unknown variables. The value of γR is therefore treated as one of the model parameters. Besides, Scat,H+ and San,OH- are also the model parameters. These

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parameters are obtained with SAS 8.2 (Statistical Analysis System). The Levenberg-Marquardt algorithm is used for estimation. The residual error SSres is minimized by adjusting the parameters.

i 1

2

 Vc  Vc )

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 (V c

L L i

R R i

L L i ,0

(17)

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SSres 

Nm

where SSres is the sum of squares of the residuals, V is the volume, and c0 is the initial

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liquid phase concentration of the component. 3. Materials and Methods 3.1 Materials

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The anhydrate form of L-phenylalanine was purchased from Sigma-Aldrich. All the chemicals used were of analytical grade. L-phenylalanine solutions were prepared by dissolving precisely measured amounts (±0.1 mg) of L-phenylalanine in deionized water. The gel-type strong cation exchange resin (SH11 resin) was kindly provided by National Engineering Research Center for Biotechnology. The physical properties of the resin are summarized in Table 1. Table 1 Physicochemical properties of resin SH11 Matrix structure

Polystyrene-poly(vinylbenzene)

Crosslinkage /%

7

Functional group

-SO3-H+

Water content/g ·(g dry resin)-1

1.16 9

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Hydrated density /g·L-1

1070

Specific area /m2·g-1

486

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Pore porosity

3.2 Ion-exchange capacity of SH11 resin

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The total ion-exchange capacity of SH11 resin, Q, was determined by equilibrating a sample of the resin in the hydrogen form with an excess volume of NaOH. At equilibrium, the excess NaOH was titrated with 0.1 mol·L-1 HCl using an 848 Titrino

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Plus apparatus with an 801 Magnetic stirrer (Switzerland). The capacity was determined based on the material balance.

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3.3 Ion-exchange equilibrium experiments

The equilibrium uptake of L-phenylalanine was determined by contacting the

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hydrogen from of SH11 resin with a stock solution containing a fixed concentration of

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L-phenylalanine. The ion-exchange equilibrium experiments were performed at 298K. The SH11 resin (0.5 g) was added to 30 ml of the solutions in 100 ml flasks. The

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flasks were completely sealed and shaken for 12 h at an agitation speed of 150 r·min-1 in an incubator shaker at a preset temperature to ensure the equilibrium. The mass balance was used to determine the equilibrium compositions of the resin. The amount

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of L-phenylalanine adsorbed onto the resin was calculated. qe 

C

0

 Ce V m

(18)

where c0 and ce are the initial and equilibrium L-phenylalanine concentrations in the solution, respectively, V the solution volume, ρ the resin density, and m the mass of adsorbent. Consequently, qe represents the equilibrium adsorption capacity corresponding to ce at the present temperature. To study the effect of pH on L-phenylalanine uptake on the resin, the pH value of L-phenylalanine solution was adjusted by addition of small amount of 2 mol·L-1 HCl or 2 mol·L-1 NaOH to the solution prior to experiments. The initial L-phenylalanine concentration was fixed at 0.12 mol·L-1, approximately the same concentration in the 10

ACCEPTED MANUSCRIPT fermentation broth. At the end of each experiment, after equilibrium was reached, the pH was measured and the L-phenylalanine uptake was calculated. The concentration of OH- was determined from the solution pH. A SX723 pH meter (Sanxin, Shanghai)

the average values are presented.

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3.4 High-performance liquid chromatography analysis

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was used for pH measurements. All the experiments were carried out in duplicate and

The concentrations of L-phenylalanine were determined by high performance liquid chromatography (Agilent Technologies 1200 Series, USA) equipped with a

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Sepax HP-C18 column (4.6mm×250 mm, 5μm, Sepax (Jiangsu) Technologies, Inc., Changzhou, China). The mobile phase was 30 vol% methanol. The column

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temperature was 25C and the flow rate was 1.0 ml·min-1. The detector wavelength was set at 260 nm.

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4. Result and Discussion

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4.1 Dissociation equilibria of L-phenylalanine in solution L-phenylalanine is an amphoteric molecule. In aqueous solution it dissociates into

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different ionic species depending on the pH value. As a result, the following dissociation equilibrium takes place. K1 NH3 CHRCOOH   NH3 CHRCOO  H 

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K2 NH3 CHRCOO   NH2 CHRCOO  H 

(19) (20)

where K1 and K2 are the dissociation constants for L-phenylalanine. The distribution coefficient (δ) for each ionic species may be calculated from  phe   phe   phe 

c phe ct c phe ct c phe ct

  

cH cH 2

c H   K 1c H   K 1 K 2 K 1c H  2

c H   K 1c H   K 1 K 2

(21)

K 1K 2 2

c H   K 1c H   K 1 K 2

where cphe is the concentration of positively charged L-phenylalanine, cphe is the 11

ACCEPTED MANUSCRIPT concentration of zwitterions, while cphe is the concentration of negatively charged form, ct represents the total concentration of L-phenylalanine, and cH  is the

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concentration of hydrogen ion. The total concentration of L-phenylalanine in the

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solution is

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c t  c phe  c phe  c phe

(22)

When the concentration of L-phenylalanine in a solution containing HCl is known, the Cl- concentration may be expressed as

c phe  c H   c phe  c OH   c cl 

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(23)

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The values of equilibrium constants and isoelectric point (pI) for L-phenylalanine under study are shown in Table 2. The distribution coefficient (δ) calculated by Eq. (20) is shown in Fig. 1(a). At the pH value below 2.0, the ratio of L-phe+ is the highest.

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As the pH value increases from 2.0 to 6.0, the ratio of L-phe+ decreases and the ratio

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of L-phe± increases. The ion exchange between L-phenylalanine and counter-ions of the cation exchange resin may take place at the pH value below 6.0. As a result, the

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cation exchange resin can be used to adsorb L-phenylalanine in this pH range. Table 2. Parameters of the modified DIX model

2.11

pK2

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pK1

9.13

Q

Sphe+ ,H+

Sphe± ,H+

Sphe± ,OH-

Scl- ,OH-

γR

66.06

2.212

3.096

0.2510

0.9694

/mol·L-1 1.3

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ACCEPTED MANUSCRIPT Fig.1. Theoretical distribution coefficients for different ionic components of L-phenylalanine in the solution (a) and the mean ionic activity coefficient of solution at different concentrations of L-phenylalanine and different pH values (b).

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4.2 The mean ionic activity coefficient of L-phenylalanine in liquid phase

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The mean ionic activity coefficient (  L ) calculated by Eqs. (13)-(16) at different L-phenylalanine concentrations and pH values is presented in Fig. 1(b). The value of

 L is not equal to unit even at very low concentration (3 g·L-1). The value of  L

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declines as the concentration of L-phenylalanine increases. Consequently, if the activity is considered equal to the concentration, there would be some errors between

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the calculated results and experimental data.

The solution pH has a significant influence on the mean ionic activity coefficient. As can be observed in Fig. 1(b), when the pH is in the range of 2~9 the mean ionic

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activity coefficient  L has the highest value and remains almost constant. However, when the pH is lower than 2 or higher than 12, the  L value reduces greatly. This is

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because the zwitterions L-phe± are dominant in the solution in the pH range of 2~9 (see Fig. 1), whereas HCl is added to the L-phenylalanine solution for pH < 2. Consequently, besides L-phe+ ions, Cl- ions are in the solution as well, increasing the

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ionic strength I. Thus the mean ionic activity coefficient  L decreases. The same is in the case of pH > 12. NaOH is added to the solution to adjust the solution pH. Consequently, in addition to L-phe- ions, Na+ ions exist in the solution as well. This causes the decrease of  L with the increase of pH. The solution pH influences not only the dissociation equilibrium of L-phenylalanine, but also the mean ionic activity coefficient  L significantly. Investigation on the effect of pH on the L-phenylalanine uptake onto the ion-exchanger is therefore of great importance. 4.3 Effect of solution pH on L-phenylalanine uptake by resin The influence of solution pH on the L-phenylalanine uptake on the strong-acid ion-exchanger SH11 is shown in Fig. 2. The modified DIX model gives an excellent 13

ACCEPTED MANUSCRIPT R prediction. The values of cphe,cal (L-phenylalanine concentration in the solid phase)

R calculated by the model and experimentally determined cphe are listed in Table 3.

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The relative deviations are all less than 3%, which indicates that the model proposed

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in this work is reliable.

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Model parameters S phe , H  , S cl  ,OH  , S phe , H  , S phe ,OH  , and γ R are presented in Table 2. The value of 0.9694 for γ R is very close to those for γ L (see Table 3). It is reasonable because in our study the concentration of L-phenylalanine is around 120

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mmol•L-1 and pH is between 1~6. The solution concentration and pH have

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insignificant effect on the L-phenylalanine activity. The value of S phe , H  is as high as 66.06 while S cl  ,OH  is only 0.251. In Jansens et al.’ work [12], S cl  ,OH  was

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0.241 while S Na , H  was in the range of 3.41~64.0. It indicates that the selectivity

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between cation ions and H+ could be much higher than that between anion ions and

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OH-. As a result, the values of S phe , H  and S cl  ,OH  are reasonable. The values of

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S phe , H  and S phe ,OH  are close to each other, which is also reasonable.

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ACCEPTED MANUSCRIPT Fig. 2. Concentrations of components in the resin phase at different pH values of solution (point: experimental value; curves, calculated values by the modified DIX

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model).

0.99 1.54 2.01 2.56 2.82 3.62 4.53 5.80

/mol·L-1

/mol·L-1

/mol·L-1

0.0943 0.0953 0.0926 0.0951 0.0954 0.0980 0.0966 0.0991

1.544 1.722 1.928 1.782 1.680 1.445 1.401 1.392

1.588 1.754 1.870 1.803 1.696 1.470 1.404 1.400

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0.5052 0.5032 0.5027 0.5063 0.5064 0.5041 0.5041 0.5052

R C PHE

γ±L 0.9324 0.9475 0.9574 0.9637 0.9653 0.9665 0.9666 0.9667

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0.1186 0.1223 0.1228 0.1232 0.1219 0.1207 0.1186 0.1210

pH

R C PHE ,CAL

L C PHE

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/mol·L-1

mresin /g

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0, L C PHE

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Table 3 Comparison of the simulation results with experimental data

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The influence of solution pH on the uptake of L-phe+ ( cRphe ), L-phe- ( cRphe ) and total L-phe ( cRphe ), with the uptake of H+ ( c RH  ) and Cl- ( cRcl  ), is presented in Fig. 2.

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cRphe increases to a maximum value and then decreases with the increase of solution pH. Saunders et al. [7] also measured the L-phenylalanine uptake at various solution

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pHs and gave the same trend, indicating that the results in our work are reasonable. The highest cRphe value is at pH 2.0. For pH below 2.0, concentrations of H+ and Clions are high and adsorbed onto the resin, which has a great effect on the adsorption of L-phe+. Thus the concentration of L-phe+ in the resin phase declines with the decrease of pH value. However, for pH above 2.0, higher pH value leads to the decrease of L-phe+ concentration and the increase of L-phe± in the solution. Since the concentration of L-phe in the resin phase is proportional to that in the liquid phase in the concentration range studied, the proportion of L-phe± in the resin phase gradually increases with pH. However, the electrostatic attraction between L-phe+ and the resin is stronger than the interaction between L-phe± and resin, so that the adsorption ability of SH11 resin for L-phe+ is stronger than that for L-phe±. Hence, the total 15

ACCEPTED MANUSCRIPT concentration of L-phenylalanine absorbed in the resin phase decreases with the increase of pH value. For pH in 4.5~6.0, the proportion of L-phe± to L-phenylalanine is almost 100% (see Fig. 1a). The resin-phase concentration of L-phenylalanine

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retains at a low and stable value in this pH range.

In all, the solution pH plays an important role in the L-phenylalanine adsorption

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process. According to the above results, pH 2.0 is the optimum condition for adsorbing L-phenylalanine. 5. Conclusions

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A modified DIX model for ion exchange equilibrium of L-phenylalanine is established on the basis of DIX model and the Debye-Hückel activity coefficient

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model. The mean ionic activity coefficient is introduced to reduce the deviation between activity and concentration. It is confirmed by calculation that the mean ionic

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activity coefficients of resin and liquid phase are not equal to 1 in this research scope.

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The L-phenylalanine concentration and solution pH have significant effect on the mean ionic activity coefficient.

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The modified DIX model is successfully used to calculate the resin-phase composition from known liquid-phase concentration at various pH values. It is demonstrated that the pH value of the solution has a strong influence on the

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adsorption process. The highest concentration of L-phenylalanine in the resin phase obtained is at pH of 2.0.

References (1) M. J. A. Moreira, L. M. Gando-Ferreira, Separation of phenylalanine and tyrosine by ion-exchange using a strong-base anionic resin. I. Breakthrough curves analysis, Biochem. Eng. J. 67(2012)231-240. (2) Y.-P. Chao, T.-E. Lo, N.-S. Luo, Selective production of L-aspartic acid and L-phenylalanine by coupling reactions of aspartase and aminotransferase in Escherichia coli, Enzyme Microb. Tech. 27(1)(2000)19-25. (3) K. Aida, I. Ichiba, K. Nakayama, K. Takinami, H. Yamada, Biotechnology of amino acid production, Elsevier, Amsterdam, 1986. (4) C. C. Alves, A. S. Franca, L. S. Oliveira, Removal of phenylalanine from aqueous solutions with 16

ACCEPTED MANUSCRIPT thermo-chemically modified corn cobs as adsorbents, LWT-Food Sci. Technol. 51(1)(2013)1-8. (5) J. Feitelson, Specific effects in the interaction between ion-exchange resins and amino acid cations. Influence of resin cross-linkage, J. Phys. Chem. 67(12)(1963)2544-2547. (6) P. E. Franco, M. T. Veit, C. E. Borba, G. da Cunha Gonçalves, M. R. Fagundes-Klen, R.

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Bergamasco, E. A. da Silva, P. Y. R. Suzaki, Nickel (II) and zinc (II) removal using Amberlite IR-120 resin: Ion exchange equilibrium and kinetics, Chem. Eng. J. 221(2013)426-435.

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(7) M. S. Saunders, J. B. Vierow, G. Carta, Uptake of phenylalanine and tyrosine by a strong-acid cation exchanger, AIChE J. 35(1)(1989)53–68.

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(8) M. J. A. Moreira, L. M. G. A. Ferreira, Equilibrium studies of phenylalanine and tyrosine on ion-exchange resins, Chem. Eng. Sci. 60(18)(2005)5022-5034.

(9) A. L. Myers, S. Byington, Thermodynamics of Ion Exchange: Prediction of Multicomponent Equilibria from Binary Data, Ellis Horwood Ltd., Chichester, 1986. Ind. Eng. Chem. Res. 29(5)(1990)849-857.

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(10) S. R. Dye, J. P. DeCarli, G. Carta, Equilibrium sorption of amino acids by a cation-exchange resin, (11) M. J. A. Moreira, L. M. Gando-Ferreira, Separation of phenylalanine and tyrosine by ion-exchange

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using a strong-base anionic resin. II. Cyclic adsorption/desorption studies, Biochem. Eng. J. 67(2012)241-250.

(12) M. L. Jansen, A. J. J. Straathof, L. A. M. V. D. Wielen, K. C. A. M. Luyben, W. J. J. V. D. Tweel, Rigorous model for ion exchange equilibria of strong and weak electrolytes, AIChE J.

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42(42)(1996)1911-1924.

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(13) J. C. Bellot, R. V. Tarantino, J. S. Condoret, Thermodynamic modeling of multicomponent ion‐ exchange equilibria of amino acids, AIChE J. 45(6)(1999)1329-1341. (14) J. Goscianska, A. Olejnik, R. Pietrzak, Adsorption of L-phenylalanine onto mesoporous silica,

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Mater. Chem. Phys. 142(2)(2013)586-593. (15) A. Adamson, A textbook of physical chemistry, Elsevier, Amsterdam, 2012. (16) G. Pazuki, A. Rohani, A. Dashtizadeh, Correlation of the mean ionic activity coefficients of electrolytes in aqueous amino acid and peptide systems, Fluid phase equilibr. 231(2)(2005)171-175.

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(17) E. Rodil, J. Vera, The activity of ions: analysis of the theory and data for aqueous solutions of MgBr 2, CaBr 2 and BaBr 2 at 298.2 K, Fluid phase equilibr. 205(1)(2003)115-132. (18) G. N. Lewis, M. Randall, The activity coefficient of strong electrolytes. 1, J. Am. Chem. Soc. 43(5)(1921)1112-1154.

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Graphic Abstract

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