The effect of adding NaCl on thermal aggregation and gelation of soy protein isolate

The effect of adding NaCl on thermal aggregation and gelation of soy protein isolate

Accepted Manuscript The effect of adding NaCl on thermal aggregation and gelation of soy protein isolate Nannan Chen, Mouming Zhao, Christophe Chassen...

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Accepted Manuscript The effect of adding NaCl on thermal aggregation and gelation of soy protein isolate Nannan Chen, Mouming Zhao, Christophe Chassenieux, Taco Nicolai PII:

S0268-005X(16)30601-4

DOI:

10.1016/j.foodhyd.2017.03.024

Reference:

FOOHYD 3835

To appear in:

Food Hydrocolloids

Received Date: 14 October 2016 Revised Date:

24 February 2017

Accepted Date: 19 March 2017

Please cite this article as: Chen, N., Zhao, M., Chassenieux, C., Nicolai, T., The effect of adding NaCl on thermal aggregation and gelation of soy protein isolate, Food Hydrocolloids (2017), doi: 10.1016/ j.foodhyd.2017.03.024. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

ACCEPTED MANUSCRIPT The effect of adding NaCl on thermal aggregation and gelation of soy protein isolate

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Nannan Chen, Mouming Zhao, Christophe Chassenieux, Taco Nicolai

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The effect of adding NaCl on thermal aggregation and gelation of soy

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protein isolate

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Nannan Chen1,2, Mouming Zhao1, Christophe Chassenieux2, Taco Nicolai2

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Guangzhou, China

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72085 Le Mans cedex 9, France

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Email : [email protected]

School of Food Science and Engineering, South China University of Technology, 510640,

Tel : (33)-243833139

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LUNAM Université du Maine, IMMM UMR-CNRS 6283, Polymères, Colloïdes et Interfaces,

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ACCEPTED MANUSCRIPT Abstract

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Thermal aggregation and gelation of soy protein isolate (SPI) was studied at fixed charge

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density over a wide range of protein concentrations (1-95 g/L), NaCl concentrations (0 - 0.5

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M) and temperatures (30-85 oC). Gelation was studied with oscillatory shear measurements

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and aggregation with light scattering. At all conditions, self-similar aggregates were formed

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by random association of elementary units consisting of dense SPI particles with radii

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between 30 nm and 50 nm that were formed in a first step of the thermal aggregation process.

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Two distinct irreversible aggregation processes were identified: one dominating between 30

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and 45°C and one dominating above 65°C. Addition of salt led to faster aggregation and

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gelation, but did not influence the gel stiffness at steady state. The size and density of the

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elementary units of the aggregates increased with increasing NaCl concentration and confocal

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laser scanning microscopy images showed increasingly heterogeneous gels structures. The

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effect of varying the ionic strength on thermal aggregation is compared with that of varying

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the net charge density of the proteins.

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Key words: soy, protein, aggregation, gelation, rheology, structure

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Introduction

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Soy globulin in the form of soy protein isolate (SPI) is an important food ingredient

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and has been widely used in the food industry for its good functional and nutritional

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properties. It contains two main components: glycinin (11S) and β-conglycinin (7S), having

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molar masses of about 200 kg/mol and 360 kg/mol, respectively (Nishinari, Fang, Guo and

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Phillips, 2014) . In aqueous solutions, these proteins associate or dissociate to different

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extents depending on the concentration, pH and ionic strength (Nishinari et al., 2014) .

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At high temperatures, irreversible aggregation of soy globulin is observed, which is

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generally considered to be caused by denaturation of the proteins (Nishinari et al., 2014) . The

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rate of thermal aggregation increases strongly with increasing temperature and SPI

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concentration and has therefore been mostly investigated at elevated temperatures (T>80°C)

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where it is rapid (Hua, Cui, Wang, Mine and Roysa, 2005; Renkema and van Vliet, 2002b) .

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In the absence of salt, the aggregation rate was found to have an Arrhenius temperature

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dependence characterized by an activation energy (Ea) of 180 kJ/mol (Chen, Zhao,

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Chassenieux and Nicolai, 2016b) in the range 65°C – 85°C. 2

ACCEPTED MANUSCRIPT A detailed investigation of the influence of the pH between pH 7 and pH 5.8 on

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thermal aggregation of SPI indentified a two step aggregation process (Chen, Zhao,

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Niepceron, Chassenieux and Nicolai, 2016c) . In the first step, dense approximately spherical

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particles are formed that in the second step randomly associate into self-similar aggregates.

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Decreasing the pH caused an increase of the radius of the primary particles formed in the first

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step, but did not modify the fractal dimension of the aggregates on larger length scales.

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Growth of the self similar aggregates led to the formation of a system spanning network at a

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critical gel time. The aggregation and gelation rate of SPI increased with decreasing pH, but

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did not significantly influence the activation energy nor the elastic modulus of the gels.

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The effect of salt on thermal aggregation of SPI has also been investigated in the past.

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The denaturation temperature of glycinin and β-conglycinin was found to increase with

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increasing NaCl concentration implying that soy proteins have a higher thermal stability in the

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presence of salt (Bikbov et al., 1983; Jiang, Xiong and Chen, 2010; Renkema, Gruppen and

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van Vliet, 2002a) . Nevertheless, (Jiang et al., 2010) observed that the turbidity of SPI

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solutions at pH 7.0 increased more strongly during a heating ramp if 0.1 M or 0.6 M NaCl

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was added than in deionized water, indicating that aggregation is favored by screening of

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electrostatic repulsion. (Hua et al., 2005) reported that the stiffness of the gels at C=80 g/L

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after a given heat treatment (95°C, 15 min) increased with increasing NaCl concentration until

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approximately 0.2 M, but further increase of the salt concentration led to a slight decrease of

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the gel stiffness. On the other hand, (Renkema et al., 2002a) did not find a systematic effect

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of adding 0.2 M or 0.5 M NaCl on the stiffness of SPI gels (C=12 wt%) that were heated at

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95°C during 1 h. These literature results give some indication about the effect of salt on

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thermal SPI aggregation, but, as far as we are aware, no detailed systematic investigation has

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yet been reported.

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Here, we present an investigation of the effect of salt on the aggregation and gelation

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of SPI over a wide range of NaCl concentrations (0-0.5 M), protein concentrations (1-95 g/L)

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and heating temperatures (30-85°C). We have studied the effect of adding salt on the kinetics

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of the thermal aggregation process, the structure of the aggregates, the elastic modulus of the

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gels and the microstructure of the gels as a function of the temperature and concentration. The

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net charge density was fixed at α=-175, where α is expressed in number of charges per protein

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unit with molar mass 3.0x105 g/mol. It was shown that SPI in pure water forms stable

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suspensions for α<-150 and are only weakly associated because the electrostatic repulsion is

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strong (Chen, Zhao, Chassenieux and Nicolai, 2016a) . Notice that if the net charge density is 3

ACCEPTED MANUSCRIPT fixed, the pH decreases with increasing NaCl concentration or protein concentration (Chen et

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al., 2016a) . The pH of the samples studied here varied between pH 7.2 at low SPI

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concentrations without added salt to pH 6.4 at 0.5 M NaCl. The effect of screening

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electrostatic repulsion by adding salt for SPI with high charge density studied here will be

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compared with the effect of reducing the charge density of SPI in the absence of salt reported

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elsewhere (Chen et al., 2016c)

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Materials and Method

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Materials

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Soy protein isolate (SPI) was obtained from defatted soybean flakes (Yuwang Group,

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China) by precipitation at pH 4.5 using the procedure detailed elsewhere (Chen, Lin, Sun and

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Zhao, 2014) . The SPI powder contained 94% protein (Kjeldahl, N×6.25). It has been argued

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that a smaller nitrogen correction factor (5.5) should be used for soy proteins (Mariotti, Tomé

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and Mirand, 2008) , but we have used 6.25 here for easier comparison with previous results

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reported by us and others in the literature. Analysis by SDS-page showed that the sample

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contained about 60% glycinin and 40% β-conglycinin. Protein solutions were prepared in salt-

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free Milli-Q water with 3 mM NaN3 to avoid bacterial growth. They were centrifuged at room

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temperature with an Allegra 64R centrifuge (Beckman Coulter, USA) at 5x104 g for 4 h. The

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ionic strength of the protein solutions was set by adding aliquots of a concentrated NaCl

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solution (2 or 4 M). After setting of the ionic strength, the solution was put in air-tight glass

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tubes with diameter of about 10 mm and heated in a temperature control water bath

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immediately. After heating, the solutions were cooled to room temperature with tap water.

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Light Scattering.

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Static (SLS) and dynamic (DLS) light scattering measurements were done using a

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commercial apparatus (ALV-Langen). The light source was a He–Ne laser with wavelength

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λ= 632 nm. The temperature was controlled by a thermostatic bath to within ± 0.2 °C.

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Measurements were made at angles of observation (θ) between 13° and 140°. The relative

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scattering intensity (Ir) was calculated as the intensity minus the solvent scattering divided by

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the scattering intensity of toluene at 20°C. In dilute solutions, Ir is related to the weight

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average molar mass (Mw) and the structure factor (S(q)) of the solute (Brown, 1996; Higgins

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and Benoit, 1994) 4

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ூೝ ௄஼

= ‫ܯ‬௪ ܵ(‫)ݍ‬

(1)

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with K an optical constant. The initial dependence of S(q) on the scattering wave vector (q)

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was used to obtain the z-average radius of gyration (Rg).

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S(q)=(1+q2.Rg2/3)-1

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(2)

The normalized intensity autocorrelation functions measured with DLS could be

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described by a monomodal relaxation time distribution. An apparent q-dependent diffusion

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coefficient was calculated from the average relaxation rate (Γ): Da=Γ.q-2 (Berne and Pecora,

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2000) . In dilute solutions and for q→0, Da is equal to the translational diffusion coefficient of

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the solute (D) and is related to the hydrodynamic radius (Rh):

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‫=ܦ‬

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with η the viscosity, k Boltzmann’s constant, and T the absolute temperature.

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Rheology

Oscillatory shear measurements were done with a stress imposed rheometer (AR2000,

Instruments)

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cone–plate geometry

(diameter

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mm).

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The temperature was controlled by a Peltier system and the geometry was covered

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with paraffin oil to prevent water evaporation. The storage (G') and loss (G'') moduli

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were determined in the linear response regime.

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Confocal Laser Scanning Microscopy (CLSM)

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CLSM was used in the fluorescence mode. Observations were made at 20°C with

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a Leica TCS-SP2 (Leica Microsystems Heidelberg, Germany). A water immersion

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objective lens was used (HCxPL APO 63× NA = 1.2) with theoretical resolution of 75

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nm in the x–y plane. Soy protein was physically labeled with the fluorochrome rhodamine

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B, by adding a small amount of a concentrated rhodamine solution to the 95 g/L soy

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protein solutions with a final concentration of 5 ppm. The solutions were inserted between a

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concave slide and a cover slip and hermetically sealed and heated at 80oC during 16 h.

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3 Results

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3.1 Influence of the NaCl concentration on gelation

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Figure 1 shows the evolution of the storage shear modulus during heating at 80oC for

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SPI solutions at C= 95 g/L containing different NaCl concentrations between 0 and 0.4 M. G'

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increased sharply when SPI gelled. For the gels, G' was almost independent of the oscillation

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frequency in the range tested (0.01 - 1 Hz) and much larger than the loss modulus (results not

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shown). The gel time decreased with increasing [NaCl] up to a factor 10 at 0.1 M, but adding

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more salt did not have an effect on the kinetics. Remarkably, addition of salt did not have a

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significantly influence on the stiffness of extensively heated gels. This is in agreement with

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the results by Renkema et al. (2002a) , but appears to contradict the results by Hua et al. (2005)

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who observed an increase of G' up to 0.2 M NaCl. However, the results can be reconciled if

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we consider that Hua et al. (2005) compared G' of the gels after a fixed relatively short heat

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treatment, which confounds the effects on the gelation rate and the gel stiffness.

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The microstructure of gels obtained after heating for 16 h at 80oC was observed by

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CLSM. Images of the gels show that the gels were increasingly heterogeneous for [NaCl] ≥

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0.05 M, see Fig. 2. We note that CLSM images of the samples before heating were

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homogeneous. The more heterogeneous structure was formed during gelation, i.e. much

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sooner than 16 h. Further heating did not have a significant influence on the structure once the

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systems had gelled even though G' continued to increase.

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3.2 Influence of the temperature on aggregation and gelation

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Fig. 3a shows the evolution of G' for SPI solutions at C=95 g/L in the presence of 0.1

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M NaCl during heating at different temperatures between 65°C and 85°C. The gelation rate

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increased strongly with increasing temperature. The results obtained at different temperatures

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superimpose when they are plotted as a function of time normalized by the gel time (tg)

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estimated as the time at which G'=0.1 Pa, see fig. 3c. This shows that the heating temperature

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did not influence the stiffness of the gels if the difference in the kinetics is properly accounted

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for. 6

ACCEPTED MANUSCRIPT As was discussed elsewhere for thermal aggregation of SPI in the absence of salt

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(Chen et al., 2016c) gelation is preceded by the formation of self-similar aggregates that can

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be characterized by light scattering. Fig. 3b shows the evolution with time of the average

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molar mass of the aggregates during heating at temperatures between 30 and 70°C. Mw

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increased with increasing heating time and diverged at tg when a space filling network was

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formed. The aggregation rate increased with increasing temperature, but, curiously, tg varied

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little between 45 and 60°C. When Mw is plotted as a function of t/tg, we find that the results

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obtained at 30, 35 and 40°C superimposed, but the results at higher temperatures deviated for

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smaller t/tg, see fig. 3c.

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Similar results were obtained for solutions at other NaCl concentrations between 0 and

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0.4 M NaCl. The temperature dependence of tg could be obtained over a broad range by

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combining the results of rheology and light scattering, see fig. 4. In the narrow temperature

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range where both techniques could be used (65-70°C) the same value of tg was obtained. In

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the absence of salt, a continuous strong decrease of tg with increasing temperature was

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observed over the whole temperature range where it could be investigated (50-85°C). As was

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mentioned in the introduction, tg was found to have an Arrhenius temperature dependence

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between 65°C and 85°C in the absence of salt with Ea=180 kJ/mol independent of the protein

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concentration and the pH, at least between pH 5.8 and pH 6.8 (Chen et al., 2016c) .

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It was already shown in fig. 1 for SPI solutions heated at 80°C that addition of NaCl

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up to 0.1 M increased the gelation rate, but further increase of [NaCl] had no effect on tg. The

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effect of salt was similar in the temperature range between 65°C and 85°C. However, a

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remarkably different temperature dependence of tg was observed at lower temperatures. tg was

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almost independent in the temperature range 40-55°C, 45-60°C and 50-65°C for 0.05, 0.1 and

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0.4 M NaCl, respectively. At temperatures below this range, tg increased again with

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decreasing temperature. It appears that addition of salt induces a different aggregation process

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at low temperatures.

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3.3 Influence of the protein concentration on gelation

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The effect of the protein concentration on the evolution of G' during heating at 90°C is

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shown in fig. 5 for SPI solutions at [NaCl] = 50 mM between C=50 g/L and C=95 g/L. For

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C<50 g/L, very weak gels or precipitates were formed that could not be properly characterized 7

ACCEPTED MANUSCRIPT with the rheometers at our disposal. G' increased steeply when the gel was formed and

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reached a steady state value at long heating time. It is clear that the rate of gelation and the

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stiffness of extensively heated gels increased with increasing protein concentration. The

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steady state values of G' and the gel time are plotted as a function of C in fig 6. G' increased

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by a factor of 30 between C=50 g/L and C=95 g/L and in the same concentration range, tg

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decreased from 20 min to 3 min. Similar results were reported elsewhere for heated SPI

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solutions in the absence of salt at pH 6.0 (Chen et al., 2016c) and are reproduced in fig 6 for

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comparison. G' is the same within the experimental uncertainty at all concentrations, but the

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gel time is systematically shorter at the conditions studied here.

3.6 Structure of the aggregates

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SPI aggregates were formed by heating solutions at 95°C during 0.5 h at different

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protein and salt concentrations. The dependence of Mw on [NaCl] is shown in fig. 7a for

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different protein concentrations and the dependence on C is shown in fig. 7b for different

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ionic strengths. At a given protein concentration larger than 28 g/L, Mw increased with

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increasing [NaCl] until gels were formed. For C<28 g/L, gels were not formed and Mw

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reached a maximum at [NaCl]=0.2 M. The decrease of the aggregation rate for [NaCl]>0.2 M

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is strikingly illustrated by the observation that at C= 28 g/L a gel was formed at 0.2 M NaCl,

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but not at 0.5 M NaCl. At a given ionic strength, Mw increased with increasing C until gels

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were formed at a critical concentration. The latter decreased from about 85 g/L in the absence

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of salt to about 30 g/L at 0.2 M NaCl. However, it should be realized that the critical gel

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concentration depends on the intensity of the heat treatment and decreases with increasing

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heating time. It was shown elsewhere for salt free SPI solutions that gels can be formed at

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least down to C=50 g/L if the systems are heated much longer (Chen et al., 2016b) .

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The dependence of Ir/KC on the scattering wave vector of highly diluted solutions

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characterizes the structure of the aggregates. Figure 8a shows the results for aggregates

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formed at 0.1 M NaCl at different SPI concentrations. Similar results were obtained at other

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ionic strengths (see supplementary information). The q-dependence increases with increasing

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concentrations, because the aggregates become larger. Close to the gel point, a power law

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dependence is observed over the whole accessible q-range, indicating that the aggregates have

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a self-similar structure (Sorensen, 2001) . The power law exponent is equal to the fractal

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dimension of the aggregates and was found here to be df=1.7. The results superimpose if S(q) 8

ACCEPTED MANUSCRIPT is plotted vs q.Rg see figure 8b, which means that the aggregates have the same overall

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structure independent of their size. Master curves obtained at other ionic strengths were very

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close, see supplementary information. The master curves could be well described by eq. 2,

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which implies df=2.0, except for the results at the highest values of q.Rg that suggests a

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slightly smaller df. No significant effect of the salt concentration on the structure factor was

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found.

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The hydrodynamic radius (Rh) of the aggregates was determined as briefly described

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in the materials and methods section. As was shown elsewhere (Chen et al., 2016b) Rh is

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proportional to Rg, but was systematically between 10% and 30% smaller for aggregates

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formed at the different salt concentrations investigated here. It is more time consuming to

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determine Rh than Rg, but it can be determined down to smaller sizes. Mw is plotted as a

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function of Rh for aggregates obtained at different concentrations and ionic strengths in figure

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9a. For a given ionic strength, Mw increased steeply with increasing Rh for small aggregates

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formed at low protein concentrations, but for larger aggregates the data were consistent with a

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power law dependence. A power law dependence between Mw and Rh is characteristic for

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self-similar aggregates and the power law exponent is equal to the fractal dimension:

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Mw∝Rhdf (Sorensen, 2001) . Here we find df between 1.7 and 2.0, but the data are not

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sufficient to give a more precise value or to conclude if df depends on the salt concentration.

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However, the onset of the power law dependence started at larger Rh and Mw when

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more salt was present. This means that Rh and Mw of the elementary unit of the fractal

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aggregates increased with increasing ionic strength between Rh≈30 nm, Mw≈3x106 g/mol and

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Rh≈50 nm, Mw≈ 3x107 g/mol. Mw increased slightly more than Rh3, which suggests that the

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density of the elementary unit increased weakly with increasing ionic strength. An increase of

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the size of the elementary unit was also found for aggregates formed by SPI with different

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charge densities in the absence of salt and we reproduced the figure here, see fig. 9b (Chen et

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al., 2016c) . In that case, the size and density of the elementary units increased with

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decreasing |α|, i.e. decreasing pH and were shown by cryo-TEM to be spherical and rather

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polydisperse in size.

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The effect of heating temperature on the structure of the aggregate was studied for

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aggregates formed at C=95 g/L in the presence of 0.05, 0.1 and 0.4 M NaCl. Aggregates of

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different sizes were formed by heating the SPI solutions during different times at fixed

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temperatures between 30°C and 70°C. The dependence of Mw on Rg of aggregates formed at 9

ACCEPTED MANUSCRIPT 0.1 M NaCl are shown in fig.10. At all temperatures a steep increase of Mw with increasing Rg

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was followed by a power law dependence with approximately the same exponent. The results

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at different temperatures for T≥60°C were the same within the experimental error. The results

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obtained at different temperatures for T≤45°C were also the same, but for a given value of Rg

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Mw was systematically about 50% smaller than for T≥60°C. The behavior at 50°C was

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intermediate. A similar behavior was observed at the other two ionic strengths, see

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supplementary information.

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Discussion

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The present investigation of the influence of salt (0-0.5 M) on thermal aggregation and

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gelation of SPI at a fixed charge density (α=-175) complements the investigation of the

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influence of the net charge density (α=-100 to -175; pH 5.8 to 7.2) in the absence of salt that

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was reported elsewhere (Chen et al., 2016c) . At all α and [NaCl] investigated, irreversibly

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cross-linked aggregates were formed that have a self-similar structure on large length scales

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with a fractal dimension close to two. The aggregates grow with heating time until they

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percolate into a system spanning network. This behavior is similar to that reported for various

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other types of globular proteins.

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At steady state, elastic modulus of the gels obtained after extensive heat treatment

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does not depend on the pH nor on the ionic strength in the range investigated. This is

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remarkable, because the structure of the elementary units and the microscopic structure do

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vary when the strength of the electrostatic interactions is varied either by varying the pH or by

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adding salt. It suggests that differences in structure are compensated by differences in bond

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strength, but in the absence of detailed knowledge about which and how many bonds are

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deformed under stress it is not possible to go beyond this observation. As expected, G'

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decreases with decreasing SPI concentration and for C≤40 g/L the gels either break when the

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vials are turned upside down or the solutions become macroscopically heterogeneous.

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The principal effects of varying [NaCl] or α are on the aggregation kinetics and the

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structure. If [NaCl] is increased or |α| is decreased, aggregation and gelation is faster, the

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microstructure of the gels is more heterogeneous, and the elementary units of the fractal

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aggregates are larger and denser. The strikingly similar effects of increasing [NaCl] or

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decreasing |α| are obviously related to the decrease of the repulsive electrostatic interactions

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either by screening or by reducing the charge. The screening length of electrostatic

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interactions decreases with increasing ionic strength and becomes very small for [NaCl]>0.1. 10

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This may explain why tg no longer depends on [NaCl] for [NaCl]>0.1. However, the structure

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of the gels is coarser at 0.4 M NaCl than at 0.1 M NaCl, see fig. 2, which is perhaps caused by

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the effect of salt on hydration of the proteins. The formation of larger and denser elementary units of the fractal aggregates with

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decreasing |α| or increasing [NaCl] may be attributed to the reduction of electrostatic

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repulsion. It was shown by (Chen et al., 2016c) that roughly spherical particles are formed in

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the first step of the process that subsequently randomly associate into fractal aggregates and

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eventually form a network if the SPI concentration is sufficiently high. The size and density

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of the elementary units is clearly determined by the strength of the electrostatic interactions.

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The particles grow until the repulsion between the accumulated charges render further growth

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unfavorable. However, these particles can still randomly associate into larger clusters or a

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network. A similar aggregation mechanism was reported for thermal aggregation of whey

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proteins (Phan-Xuan et al., 2013) .

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The temperature appears to have only a kinetic effect for T>60°C, as the structure of

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the aggregates and the elastic modulus of the gels was independent of the temperature for all

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systems. The aggregation and gelation rate increased with increasing temperature following

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an Arrhenius dependence with the same activation energy independent of the pH, the ionic

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strength and the SPI concentration. However, a remarkably different temperature dependence

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of tg behavior was observed at lower temperatures in the presence of salt. Below a

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characteristic temperature, tg become almost independent of the temperature over a range of

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temperatures before increasing again. The characteristic temperature increased with

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increasing ionic strength from 55°C at 50 mM NaCl to 65°C at 0.5 M NaCl. It is tempting to

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relate the characteristic temperature with the denaturation temperature determined by DSC

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that was reported by Bikbov et al. (1983) to increase with increasing NaCl concentration from

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68°C without salt to 78°C at 0.5M NaCl for β-conglycinin and from 85°C to 95°C for

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glycinin. These values are close to those reported by Renkema et al. (2002a) who also

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showed that it depended only weakly on the pH between 6 and 8. It is likely that the

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aggregation process at high temperatures characterized by Ea=180 kJ/mol is controlled by

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denaturation of β-conglycinin. Denaturation of glycinin, which becomes fast above 75°C

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(Zhao, Li, Qin and Chen, 2016) , does not appear to influence the aggregation process as the

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kinetics is characterized by a single activation energy between 60°C and 85°C and the

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aggregate structure is the same.

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ACCEPTED MANUSCRIPT The irreversible aggregation process at T≤45°C, which can only be observed in the

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presence of salt, leads to the formation of aggregates with the same fractal dimension, but

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with elementary units that are less dense than those formed at higher temperatures. This

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observation together with the change in the temperature dependence of tg shown in Fig. 4 and

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the different dependence of Mw on t/tg shown in Fig. 3, suggest that there are two different

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thermal aggregation process of SPI. One dominates at T≥60°C and one dominates at T≤45°C.

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We speculate that the temperature dependence of tg is weak at intermediate temperatures,

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because in this range both processes occur with varying relative importance. As was

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mentioned above, it appears that fast denaturation of β-conglycinin plays a major role in the

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process at T≥60°C, denaturation of β-conglycinin is extremely slow below 45°C so the

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driving force for irreversible aggregation at 30°C≤T≤45°C is unclear. Unfortunately, the

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experimental techniques used in this study do not reveal the crosslinking mechanism of the

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proteins on the molecular scale.

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Conclusion

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During heating SPI solutions, relatively dense spherical particles are formed first that

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in a second step randomly associate into larger fractal aggregates. If the protein concentration

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is sufficiently high, the aggregates connect into a system spanning network. Addition of NaCl

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causes an increase in the rate of thermal aggregation and gelation, but does not modify the

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stiffness of the gels at steady state. The size and density of the elementary units increases with

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increasing NaCl concentration and the microstructure of the gels becomes increasingly

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heterogeneous. In many aspects, increasing the ionic strength is equivalent to decreasing the

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net charge density of the protein, i.e. decreasing the pH towards the isoionic point. In both

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cases the effect on aggregation is caused by the reduction of electrostatic repulsion.

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For T>60°C, the effect of heating temperature on the aggregation process is

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principally on the kinetics. The gelation rate has an Arrhenius temperature dependence

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between 60°C and 85°C with an activation energy of 180kJ/mol that does not depend on the

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ionic strength, the pH or the protein concentration. A different irreversible aggregation

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process dominates at temperature between 30°C and 45°C, which leads to fractal aggregates

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with less dense elementary units. There are indications that the high temperature process is

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controlled by denaturation of β-conglycinin. The driving force for irreversible aggregation at

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lower temperatures is not yet elucidated. 12

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Measurements of the dependence of the molar mass on the radius on the gyration of the

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aggregates formed during heating at different temperatures are shown for 0.05 M NaCl and

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0.4 M NaCl. Also the structure factor of the aggregates formed at different ionic strengths is

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shown.

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References

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Berne, B. & Pecora, R. (2000), Dynamic light scattering With Applications to Chemistry, Biology, and physics. New York: Dover Publications. Bikbov, T., Grinberg, V., Danilenko, A. N., Chaika, T. S., Vaintraub, I. A. & Tolstoguzov, V. (1983), Studies on gelation of soybean globulin solutions Part 3., Colloid & Polymer Sci., 261, 346-358. Brown, W. (1996), Light scattering: principles and development. Oxford: Clarendon Press. Chen, N., Lin, L., Sun, W. & Zhao, M. (2014), Stable and pH-Sensitive Protein Nanogels Made by SelfAssembly of Heat Denatured Soy Protein, Journal of Agricultural and Food Chemistry, 62, 9553-9561. Chen, N., Zhao, M., Chassenieux, C. & Nicolai, T. (2016a), Structure of self-assembled native soy globulin in aqueous solution as a function of the concentration and the pH, Food Hydrocolloids, 56, 417-424. Chen, N., Zhao, M., Chassenieux, C. & Nicolai, T. (2016b), Thermal aggregation and gelation of soy globulin at neutral pH, Food Hydrocolloids, 61, 740-746. Chen, N., Zhao, M., Niepceron, F., Chassenieux, C. & Nicolai, T. (2016c), The effect of the pH on thermal aggregation and gelation of soy proteins, Food Hydrocolloids, 61, 740-746. Higgins, J. S. & Benoit, H. C. (1994), Polymers and neutron scattering. Oxford: Clarendon Press. Hua, Y., Cui, S. W., Wang, Q., Mine, Y. & Roysa, V. (2005), Heat induced gelling properties of soy protein isolates prepared from different defatted soybean flours, Food Research International, 38, 377-385. Jiang, J., Xiong, Y. L. & Chen, J. (2010), pH Shifting alters solubility characteristics and thermal stability of soy protein isolate and its globulin fractions in different pH, salt concentration, and temperature conditions, J Agric Food Chem, 58, 8035-42. Mariotti, F., Tomé, D. & Mirand, P. P. (2008), Converting nitrogen into protein - beyond 6.25 and Jones' factors, Critical reviews in food science and nutrition, 48, 177-184. Nishinari, K., Fang, Y., Guo, S. & Phillips, G. O. (2014), Soy proteins: A review on composition, aggregation and emulsification, Food Hydrocolloids, 39, 301-318. Phan-Xuan, T., Durand, D., Nicolai, T., Donato, L., Schmitt, C. & Bovetto, L. (2013), Tuning the structure of protein particles and gels with calcium or sodium ions, Biomacromolecules, 14, 1980– 1989. Renkema, J. M. S., Gruppen, H. & van Vliet, T. (2002a), Influence of pH and ionic strength on heatinduced formation and rheological properties of soy protein gels in relation to denaturation and their protein compositions, Journal of Agricultural and Food Chemistry, 50, 6064-6071. Renkema, J. M. S. & van Vliet, T. (2002b), Heat-induced gel formation by soy proteins at neutral pH, Journal of Agricultural and Food Chemistry, 50, 1569-1573. Sorensen, C. (2001), Light scattering by fractal aggregates: a review, Aerosol Science & Technology, 35, 648-687. Zhao, H., Li, W., Qin, F. & Chen, J. (2016), Calcium sulphate-induced soya bean protein tofu-type gels: influence of denaturation and particle size, International Journal of Food Science and Technology, 51, 731-741.

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Figure captions

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Figure 1 Influence of the ionic strength on the evolution of G' during heating at 80oC for SPI

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solutions at C=95 g/L.

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Figure 2 CLSM images (40 x 40 µm) of SPI gels at C=95g/L and different NaCl

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concentrations. The gels were formed by heating at 80oC for 16 h.

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Figure 3 G' (a) and Mw (b) as a function of time during heating at different temperatures

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([NaCl]= 0.1M, C=95g/L). Figure 3c shows the same data after normalizing the heating time

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by gel time (tg).

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Figure 4 Comparison of the gelation time as a function of temperature at different salt

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concentration obtained by light scattering (T<70oC) and rheology (T≥65oC).

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Figure 5 Storage shear modulus of SPI solutions at 0.05 M NaCl and different protein

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concentrations as a function of time during heating at 90oC.

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Figure 6 Dependence of G' (a) and the gel time (b) on the protein concentration for the SPI

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gels by heating either without salt at pH 6.0 at 85 oC (triangles) or at 0.05 M NaCl at 90oC

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(circles).

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Fig. 7 Mw as a function of [NaCl] at different SPI concentrations (a) and as a function of SPI

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concentration at different ionic strengths (b) for SPI aggregates obtained after 0.5 h heating at

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95°C.

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Figure 8 Dependence of of Ir/KC on the scattering wave vector for aggregates formed at 0.1

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M NaCl at different SPI concentrations (a) and the master curve obtained by plotting the same

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data as S(q) vs qRg (b). The solid line in figure 8b represents a fit to equation 2.

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Figure 9 Mw as a function of Rh for SPI aggregates formed at different salt concentrations (a).

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and pH (b). The aggregates were formed by heating SPI solutions for 0.5 h at 95°C at

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different concentrations between 1.8 g/L and the gel concentration.

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Figure 10 Mw as a function of Rg for aggregates formed during heating SPI solutions at C=95

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g/L and [NaCl]= 0.1 M at different temperatures.

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Supplementary information

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Figure S2 Mw as a function of Rg for aggregates formed during heating SPI solutions at C=95

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g/L and [NaCl]= 0.05 M or 0.4 M at different temperatures.

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ACCEPTED MANUSCRIPT Self similar SPI aggregates are formed during heating. Local density of the aggregates increases with increasing [NaCl]. The gel stiffness does not depend on the ionic strength. Gelation is faster at higher ionic strength.

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Influence of decreasing pH and increasing [NaCl] is similar.