A method for evaluating time-resolved rheological functionalities of fluid foods

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Received: 25 February 2022 Revised: 13 March 2022 Accepted: 23 March 2022

DOI: 10.1111/jtxs.12679


RES EARCH A RTICLE


A method for evaluating time-resolved rheological functionalities of fluid foods


Kohei Ohie1

| Haruko Chiba2

| Satomi Kumagai3
| Taiki Yoshida4
| Yuji Tasaka1


Abstract

We have developed an effective method for evaluating time-resolved rheological functionalities of swallowed foods using ultrasonic spinning rheometry (USR). USR can obtain variations over time in the rheological properties of fluids despite the fluids being in heterogeneous and nonequilibrium conditions. In addition, USR can evaluate time variations of shear-thinning property changing in a few seconds. Dem- onstrations were conducted with typical thickener solutions: starch, guar gum, and xanthan gum-based solutions, with alpha-amylase as a digestive enzyme. The flow curve of the starch-based solutions lowered with time, and a few minutes after addi- tion of the amylase, the viscosity dropped to one-hundredth of the original value. In contrast, the guar gum- and xanthan gum-based solutions maintained the original vis- cosities as generally known. Applying the power law fitting to series of these flow curves, the time variation of the shear-thinning property is quantitatively character- ized by the plots on typical K-space, where and are parameters in the model, consistency index and power law exponent. The qualitative characteristics of the thickeners are successfully quantified in the K-space, and this will be a practical tool for evaluating the time-resolved rheological properties of swallowed foods.

KE YWOR DS

digestive enzyme, shear thinning, thickener, transition, ultrasound

1Laboratory for Flow Control, Faculty of Engineering, Hokkaido University, Sapporo, Japan

2Department of Rehabilitation Medicine, Hokkaido University Hospital, Sapporo, Japan

3Nutrition Management Center, Hokkaido University Hospital, Sapporo, Japan

4National Metrology Institute of Japan, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan


Correspondence

Yuji Tasaka, Laboratory for Flow Control, Faculty of Engineering, Hokkaido University, N13, W8, Sapporo 060-8628, Japan.

Email: tasaka@eng.hokudai.ac.jp


Funding information

Hayashi Rheology Memorial Foundation; Hokkaido University; Japan Society for the Promotion of Science KAKENHI, Grant/Award Number: JP19H02057


  1. | INTRODUCTIONTo investigate the rheological properties that an ideal swallowed food should have to prevent aspiration, it is necessary to investigate the dynamics of the swallowed food in vivo and identify a causal relation- ship with the rheological properties of foods evaluated in vitro (Cutler, Morris, & Taylor, 1983; Houska et al., 1998; Hutchings & Lillford, 1988; Nakauma, Ishihara, Funami, & Nishinari, 2011; Shama &Sherman, 1973; Wood, 1968). In recent years, the development of in vivo methods of measurement has been remarkable, as represented by video fluorography (Bangyeekhan, Leelamanit, & Tekasakul, 2013; Nishinari, 2004; Palmer & Hiiemae, 1997; Qazi, Ekberg, Wiklund, Mansoor, & Stading, 2020; Takahashi et al. 2002; Zhu, Mizunuma, & Michiwaki, 2014) and ultrasonic pulse Doppler (Gao & Kohyama, 2014; Hasegawa, Nakazawa, & Kumagai, 2008; Hasegawa, Otoguro, Kumagai, & Nakazawa, 2005; Kumagai, Tashiro, Hasegawa,                                                                                              Kohyama, & Kumagai, 2009; Moritaka & Nakazawa, 2009; NagatoshiThis article was published on AA publication on: 26 March 2022et al. 2001; Qazi et al., 2020; Tashiro, Hasegawa, Kohyama,This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.© 2022 The Authors. Journal of Texture Studies published by Wiley Periodicals LLC.J Texture Stud. 2022;1–9.wileyonlinelibrary.com/journal/jtxs1Kumagai, & Kumagai, 2010) methods, which have enabled detailed access to the behavior of the bolus in the swallowing process.In vitro methods of measurement are technically far behind these in vivo methods. Most swallowed foods are in heterogeneous and nonequilibrium conditions, which makes it extremely difficult to evalu- ate the rheological properties, such as viscoelasticity and shear-rate- dependent viscosity, with the conventional torque-type rheometers widely used in academic and industrial fields (Kumagai & Kumagai, 2009; Matsumoto, 1978; Nishinari, 2003; Tashiro et al., 2010). Even though there are several practical methods for quantitatively characterizing the rheological properties (Ewoldt, Hosoi, & McKinley, 2008; Wagner, Barbati, Engmann, Burbidge, & McKinley, 2017), it should be noted that target fluids are limited only in homogenous and equilibrium states.There are three main difficulties in in vitro evaluations caused by the heterogeneous and nonequilibrium conditions. The first problem is that wall-slip and shear-banding phenomena occur frequently in the measurements of functional swallowed foods, such as gel–sol coexis- tent fluids, using torque-type rheometers (Fardin et al., 2014; Fischer, Wheeler, & Fuller, 2002; Sui & McKenna, 2007). These rheometers are available in multiple geometric options, including plate–plate, cone–plate, and double cylinder types. Rheological properties, such as viscoelasticity and effective viscosity, are determined by measuring the rotational speed and the integrated axial torque, assuming that the spatial profile of the velocity is linear in the narrow gap (Irgens, 2014; Macosko, 1994). Under the wall-slip and shear-banding phenomena, the standard torque-type rheometers cannot be used to distinguish whether the evaluated rheological properties originate from the properties of the swallowed foods themselves or are sup- erimposed phenomenon from the wall-slip and shear-banding (de Souza Mendes, Alicke, & Thompson, 2014; Saint-Michel, Gibaud, Leocmach, & Manneville, 2016). The second problem is the limited use of ordinary rheometers with heterogeneous fluids. Swallowed foods, such as porridge containing dispersions with millimeter size and yogurt, in which gel and sol states coexist, cannot fit in the narrow gap of the rheometers, and there is an increasing demand in the food and medical fields to be able to evaluate the rheology of such complex fluids. The last problem regarding the nonequilibrium conditions may be the most difficult of the three. Considering digestive enzyme in saliva decomposes the starch contained in many swallowed foods with a concomitant reduction in viscosity, the time variation of rheo- logical properties represented by shear-rate-dependent viscosity has to be evaluated (Chen, 2009; Kumagai & Kumagai, 2009). A standard rheometer evaluates the viscosity under one fixed shear rate at a time; therefore, such temporal evaluations take an enormous amount of time and are often impossible to perform.‌To meet the diverse demands for evaluating the rheological prop- erties of swallowed foods, we have developed a new method, ultra- sonic spinning rheometry (USR) (Sakurai, Tasaka, & Murai, 2013; Shiratori, Tasaka, Murai, & Takeda, 2013; Tasaka, Kimura, & Murai, 2015; Tasaka, Yoshida, Rapberger, & Murai, 2018; Yoshida, Tasaka, & Murai, 2019a). USR can be used to analyze rheological properties by substituting the flow velocity information obtained froman ultrasonic velocity profiler (UVP) (Takeda, 19862012) into the equations of fluid motion. Measurements of the fluid motion itself can be obtained and the rheological properties for each radial position locally in a vessel have been evaluated. The efficacy of USR has been verified by comparing with a standard torque-type rheometer (Ohie, Yoshida, Tasaka, & Murai, 2022; Yoshida, Tasaka, & Murai, 2019a). USR has been used to investigate milli-bubble/solid particle suspen- sions (Sakurai et al., 2013; Tasaka et al., 2015; Yoshida, Tasaka, & Murai, 2019b), an oil–water mixture (Ohie, Yoshida, Park, Tasaka, & Murai, 2020), porridge (Tasaka et al. 2021), and gel–sol coexistent fluids (Yoshida, Tasaka, & Fischer, 2019; Yoshida, Tasaka, & Murai, 2017; Yoshida, Tasaka, Tanaka, Park, & Murai, 2018). In addi- tion to its applicability to the analysis of complex fluids, USR can be used to evaluate the shear-rate-dependent viscosity as the shear rate is ~(101 s—1) near the cylindrical wall of the vessel and ~(10—1 s—1) near the central axis, which fall in the shear rate range required for evaluating the rheological properties of swallowed foods (Kumagai et al., 2009; Shama & Sherman, 1973; Tashiro et al., 2010). It is there- fore possible to evaluate the effect of chemical reactions, or the time variation of multiphase states, on the shear-rate-dependent viscosity, indicating that USR may solve the third problem related to swallowed foods in the nonequilibrium condition. The time variation of the vis- cosity curve can theoretically be evaluated on a time scale of ~(1 s).Herein, we describe a method for evaluating rheological proper-ties, especially variations over time, using USR. Aqueous solutions mixed with starch-based, guar gum-based, or xanthan gum-based thickeners were used as test fluids. These thickeners are classified as the first, second, and third-generation additives, respectively, for use in a dysphagia diet (Matsuo, Sato, Kudo, Sadzuka, & Tomita, 2020). The starch-based thickener is classified as the first generation, and it has been regarded as a problem that the viscosity decreases due to hydrolysis by amylase. The guar gum-based thickener is classified as the second generation, and the viscosity is sustained even though the amylase is mixed. The xanthan gum-based thickener classified as the third generation has further improved swallowability and flavor (Ueha et al., 2014). The time variation of the flow curves of these solutions after being mixed with alpha-amylase was evaluated by USR, and the rheological properties of the thickeners from each generation were quantitatively characterized.
  2. | MATERIALS AND METHODS
    1. | MaterialsThree types of commercial food thickeners were used: starch-based (Tromeline, Nutri Co. Ltd, Japan), guar gum-based (Hightoromeal, Foodcare Co. Ltd, Japan), and xanthan gum-based (Softia S, Nutri Co. Ltd, Yotsukaichi). These thickeners are categorized as the first, second, and third-generation additives, respectively, and various improvements have been made with each generation (Moritaka & Nakazawa, 2009; Ueha et al., 2014; Waqas, Wiklund, Altskär, Ekberg, & Stading, 2017). Three concentrations of each thickener inTA BL E 1 Amount of the three thickeners added to 100 ml of pure water


      Concentration


      Thickener

      Low (L)

      Middle (M)

      High (H)

      Starch-based (I)

      2.4 g (3.8 g)

      4.7 g

      7.1 g

      Guar gum-based (II)

      1.5 g

      2.2 g

      2.7 g

      Xanthan gum-based (III)

      1.0 g

      2.0 g

      3.0 g

      Note: The solution of the starch-based thickener was so low in viscosity that it could not be measured by USR; therefore, 3.8 g was added instead of 2.4 g.Abbreviation: USR, ultrasonic spinning rheometry.pure water were used, as summarized in Table 1. The solution with the lowest concentration of the starch-based thickener was difficult in the USR measurement to capture the time variation of shear-thinning property with converting sufficient range of the shear rate due to the low viscosity. More than the specified amount was therefore added as shown in the parenthesis in Table 1. The specified amount was dis- solved in 1 L of pure water with stirring with a spatula at room tem- perature of 25◦C. Nine test solutions were degassed with a vacuum pump and then stored at room temperature for a day. As tracer parti- cles for the UVP measurements, a small amount of styrene spherical particles (MCI GEL CHP20/P120, Mitsubishi Chemical Co. Ltd, Tokyo, Japan), with a mean diameter and density of 75–150 μm and1.01 g/ml, were added to all the solutions. As 5 g of the tracer parti-cles was added in 1 L of each solution, the volume fraction of the par- ticles was φ = 0.05%. Based on the theoretical formula of the effective viscosity proposed by Einstein (1906), increase rate of theviscosity due to the volume fraction is roughly estimated by 2.5φ. In this experiment, the increase rate is estimated by 0.125%, and changes in the rheological properties can be sufficiently small to be ignored. For simplicity of notation, each solution is represented by a Greek numeral and an uppercase letter denoting the generation of the thickener and the concentration, respectively (see Table 1).In the viscosity stability test, alpha-amylase (FUJIFILM Wako Pure Chemical Co. Ltd., Osaka, Japan) was used. First, 0.1 g of alpha- amylase powder was dissolved in 200 ml of pure water, then 2 ml of this amylase solution was added to 1 L of the thickened solution. The total amount of the amylase powder added was 1 ppm. This amount of amylase is almost as specified by the stability test method of thick- eners determined by the Consumer Affairs Agency of Japan. The method of mixing the amylase solution and the thickened solution is specifically explained in Section 2.3.
    2. | Ultrasonic spinning rheometryThe experimental setup of USR is schematically shown in Figure 1. An acrylic cylindrical vessel (radius: = 72.5 mm; thickness: 2 mm; and height: 60 mm) filled with a test fluid was installed in the center of awater bath for the UVP measurements and temperature control. The vessel was driven by a stepping motor as the velocity of the cylindrical
      FIG UR E 1 Experimental setup of USR for capturing the spatiotemporal velocity distribution in an oscillating cylindrical vessel:(a) schematic top view and (b) photograph of the setup, where a cylindrical vessel was installed in a water bath for the UVP measurements and temperature control. USR, ultrasonic spinning rheometry; UVP, ultrasonic velocity profilerwall takes a sine wave, uwall(t) = Uwall sin(2πfot), Uwall = 2πfoRΘ, where fo and Θ represent the oscillation frequency and the rotation angle of the vessel, respectively. Oscillatory shear flow is induced by themotion of the cylindrical wall, and the flow propagates toward the central axis with an accompanying phase lag. For fluids with relatively low viscosity, the fluid cannot track the motion of the cylindrical wall immediately. There is a phase lag between the fluid near the wall and that near the central axis. For relatively high viscosity fluids, such as honey, the fluid can track the motion of the wall without a consider- able phase lag. These phenomena suggest that the viscosity can beevaluated by observing the movement of the fluid. The spatiotempo- ral distribution of the azimuthal velocity uθ (rt) = (ry)uξ was obtained using a UVP, which is also applicable for opaque fluids. Rhe-ological properties, represented by viscoelasticity and effective vis- cosity, are estimated by substituting the velocity information into Navier–Stokes and constitutive equations. The theoretical back- ground of USR has been explained in detail elsewhere (Tasaka et al., 2015; Yoshida et al., 2017).An advantage of USR is the spatially local evaluation at each radial position in the vessel. Once the vessel is driven under theparameters (fo, Θ) for more than the period of the oscillation, the spa- tial variations of the effective viscosity μeff (r) and the effective shear rate γ_ eff (r) are obtained, where γ_ eff is ~(101 s—1) near the cylindricalwall and ~(10—1 s—1) near the central axis. The viscosity curveγ_ eff — μeff can be obtained over this shear rate range immediately. Flowtemperature of the solution was controlled at 25◦C by a thermostatic chamber. The USR measurements were conducted with the oscillation parameters: fo = 1.0 Hz and Θ = π/2 rad to obtain the viscosity cur-ves. Following the USR measurements of the original solutions, thestability after the addition of amylase was evaluated at the same tem-curveγ_ eff — τeff is also obtained by the integral operation onperature for the I, II-H, and III-H solutions. II and III solutions rarelydτeff = μeff( γ_ eff)d γ_eff with a boundary condition of τeff(γ_ 0) = τ0 = μeff(γ_ 0)γ_0, where τeff is the effective shear stress. In this paper, numerical integration is performed with γ_ 0 =3 s—1, which is the minimum shear rate on the viscosity curve γ_ eff — μeff evaluated byUSR. In this definition of differential viscosity, the power law expo- nent appearing in Section 3 never takes a negative value even in the limited range of the shear rate. USR can evaluate variations in the shear-rate-dependent viscosity/stress every few seconds. This local evaluation also makes it possible to evaluate the rheology of complex fluids, such as multiphase and gel–sol coexistent fluids containing dis- persions with ~(1 mm) size (Tasaka et al. 2021; Yoshida, Tasaka, & Fischer, 2019; Yoshida et al., 2017). With ordinary torque-type rhe- ometers, these fluids cause shear-banding and wall-slip phenomena, adding bias errors to the torque measurement values, which then no longer reflect the original rheological properties.‌‌Validation of the present USR has been conducted in studies (Ohie et al., 2022; Yoshida, Tasaka, & Murai, 2019a) with a standard torque-type rheometer (MCR 102, Anton Paar, Austria) with a plate– plate geometry. Using carboxymethyl cellulose aqueous solution, which is a representative shear-thinning fluid (Benchabane & Bekkour, 2008), Yoshida, Tasaka, and Murai (2019a) compared flowreact with amylase, so only the II-H and III-H solutions were evaluated as representative solutions. To allow the solution and the amylase to be mixed sufficiently, 200 ml of the solution was withdrawn from the vessel to a beaker and this solution was stirred quickly and thoroughly with 2 ml of the amylase solution with a spatula for approximately 10 s. The solution was put back in the vessel and the whole solution was similarly stirred. Immediately after that, the oscillation of the ves- sel and the UVP measurements were performed for the USR test in 20 min. The spatiotemporal velocity profile was extracted every 10 s, and a flow curve was obtained for each time point.
  3. | RESULTS AND DISCUSSION
    1. | Rheological properties of the original solutionsThe flow curves obtained by USR before adding the amylase are shown in Figure 2, where the axes represent the effective shear rate γ_eff and effective shear stress τeff in logarithmic scale. For quantita-efftively characterizing shear-rate-dependence of the rheological proper-curves evaluated by USR and the torque-type rheometer. The resultsties, power law fitting τeff = Kγ_ nwas applied to the flow curves,of both were in good agreement, indicating measurement accuracy of USR.While USR has high applicability to complex fluids in non- equilibrium conditions, it is not always superior to torque-type rheom- eters in all respects. It also has a lowest limitation for viscosity evaluation, just as the limitation is specified even with a standard torque-type rheometer (Ewoldt, Johnston, & Caretta, 2015). The low- est limitation for the viscosity evaluation by USR is about 10 cStunder the experimental condition of fo = 1.0 Hz. In the theory of USR,the oscillatory flow generated by the cylindrical wall is measured by UVP, and the viscosity at each radial position is evaluated by analyzing the velocity information. The thickness of the fluid layer moving onthe cylindrical wall is about δ= (ν/2πfo)1/2, where ν is the kinematicviscosity (Ohie et al., 2022; Tasaka et al. 2021). Spatial resolution ofUVP in the direction of measurement line is 0.74 mm. The viscosity therefore should be higher than ν = 10 mm2·s—1 so that δ= (10 mm2/s /[2π × 1.0 Hz])1/2 = 1.3 mm is thicker than the spatialresolution of UVP.2.3 | Experimental proceduresThe shear-rate-dependent rheological properties of the original solu- tions were investigated by USR before the addition of amylase. The cylindrical vessel was filled with each of the 1 L solutions, and thewhere and represent the consistency index and power law expo- nent, respectively. The conditions < 1, = 1, and 1 < correspond to pseudoplastic, Newtonian, and dilatant fluids, respectively. The shear-thinning property becomes more dominant as the value of decreases. The fitting based on the model was conducted against each flow curve in Figure 2 using the least square method. The fitting is in good agreement in the experimental results. The obtained param- eters were plotted on the typical K-space as shown in Figure 3, which was originally proposed for practically characterizing shear- rate-dependence of viscosity and elasticity (Wagner et al., 2017). The symbols of different concentrations are connected for better visibility. For the starch- and guar gum-based solutions, takes almost the same value regardless of the concentration, meaning that there was little difference in the shear-thinning properties of these solutions before the addition of amylase. The guar gum-based thickener, classi- fied as the second-generation thickener, had a better thickening effect per unit mass than the starch-based thickener, classified as the first- generation thickener, because the value of the II-M (2.2 g per 100 ml) solution was larger than that of the I-M (4.7 g per 100 ml) solution. The plotted points for the xanthan gum solutions were located at the far lower of the graph compared with the starch and guar gum solutions. Therefore, the xanthan gum solution has remark- able shear-thinning property, which is tentatively a better condition for swallowing food (Nishinari et al., 2011; Nishinari, Turcanu, Nakauma, & Fang, 2019).
      FIG U R E 2 Flow curves obtained by ultrasonic spinning rheometry for aqueous solutions of (a) starch-based, (b) guar gum-based, and(c) xanthan gum-based thickeners at 25◦C, where the oscillation parameters were set at fo = 1.0 Hz and Θ = π/2 rad. The symbols represent the types of solution and concentration, L, M, and H for low, middle, and high concentrations, respectively. Solid lines are the fitting results of the power law model
      FIG U R E 3 K-n diagram converted from the flow curves in Figure 2. The symbols represent the concentration of thickener
    2. | Stability of the rheological properties after addition of amylaseThe temporal changes of the flow curves after being mixed with amy- lase are shown in Figure 4. The symbols represent the elapsed time after the addition. For the starch-based solutions, the flow curves lowered over time as shown in Figure 4a–c. Seven minutes after the addition of the amylase, the effective shear stress/viscosity of the starch-based solutions decreased to less than one hundredth of the original values. In contrast, the flow curves of the II-H and III-H solu- tions were maintained over 7 min, indicating that the second andthird-generation thickeners were not affected by the amylase. Prelimi- nary experiments indicated that the reaction proceeded uniformly in the vessel regardless of the radial position having a different shear rate amplitude. This is because the oscillatory shear flow in the vessel was under laminar conditions, where the stirring capacity was weaker than the turbulent conditions.For quantitatively characterizing instantaneous shear-rate- dependence of the rheological properties, the power law fitting was applied to the flow curves, and the obtained parameters were plotted on the K-n space as shown in Figure 5. The shape of the symbols indi- cates the elapsed time after being mixed with the amylase, and the circles represent the time just before the addition. The symbols for different solutions with different concentrations are connected by lines for better visibility of the time variations. For the II-H and III-H solutions, the position of the plotted parameters does not change over time, indicating that mixing with amylase does not modify the rheological properties. The plot of the starch solutions (I), however, monotonically moved to the left with time elapsed. In addition, n approaches unity (Newtonian fluid) over time as an overall ten- dency. These indicate that the amylase changes the starch-based solu- tions to like pure water, increasing the risk of aspiration (Hasegawa et al., 2005; Kumagai et al., 2009; Nagatoshi et al., 2001; Tashiro et al., 2010).
    3. | Advantages of the functional evaluation via USRFood materials are generally in heterogeneous and exhibit markedly different properties depending on timescale, and these represent a vast majority of the real foods (Nishinari et al., 2019; Wagner et al., 2017). The evaluation method base on USR will be applied to create a database of complex fluids, such as multiphase and gel–sol coexistent fluids represented by porridge and yogurt, in which USR
      FIG U R E 4 Instantaneous flow curves obtained by ultrasonic spinning rheometry for the (a) I-L, (b) I-M, (c) I-H, (d) II-H, and (e) III-H solutions at 25◦C, where the oscillation parameters were fo = 1.0 Hz and Θ = π/2 rad. The symbols represent the elapsed time after being mixed with the amylase
      FIG U R E 5 K-n diagram converted from the viscosity curves in Figure 4. The symbols represent the elapsed time after being mixed with amylase. The notations of I, II, and III are for starch-, guar gum-, and xanthan gum-based solutions, and L, M, and H are for low, middle, and high concentrations, respectivelyhas a great advantage over ordinary torque-type rheometers. A data set of the time-resolved rheological properties of swallowed foods can be constructed on the K-space. In particular, porridge, which accounts for more than half of the calories in Japanese hospital food, loses its viscosity through hydrolysis. At what time the rheological properties of porridge decrease can be evaluated using the devel- oped method. This method can assess how long the addition of a thickener can extend the time sustaining the original properties. In addition, in vivo measurements are required in parallel with these evaluations through the K-diagram for elucidating the area where safe swallowing food is in. The last thing to emphasize is that a food bolus is subjected to not only shear but also extensional flows during swallowing process. Elongational and yielding properties also pro- vide important insights on the dynamics of food bolus represented by cohesiveness (Hadde & Chen, 2019; Nishinari et al., 2019; Ross, Tyler, Borgognone, & Eriksen, 2019; Tobin et al., 2020). Combining extensional viscosity and yield stress measurements in addition to the evaluation by the present USR will lead better understanding bolus dynamics of heterogeneous foods in nonequilibrium conditions.
  4. | CONCLUSIONS


The rheological properties of three types of thickeners after the addi- tion of alpha-amylase were evaluated using USR, which can provide an instantaneous flow curve. In addition to evaluating the viscosity of the original solutions, the changes over time of the flow curves after mixing the solutions with amylase were subsequently obtained by USR. As expected, the guar gum-based and xanthan gum-based solu- tions did not decrease in the effective shear stress/viscosity over the applied shear rate range. For the starch-based solutions classified as the first-generation thickeners, the flow curves for all three concen- trations decreased. The viscosity decreased to less than one hun- dredth of the original value, 7 min after the addition of alpha-amylase. To quantitatively characterize the time variations in this shear-rate- dependence of the effective shear stress/viscosity, which is necessary to evaluate the rheological properties of fluid foods in the swallowing process, the power law fitting was applied to series of these flow cur- ves. The obtained parameters are plotted on the typical K-space, where and are parameters in the model, consistency index and power law exponent. The rheological properties of the thickeners, which had been qualitatively characterized, were quantitatively evalu- ated using the diagram, indicating that this method is a practical tool for constructing a data set of the time-resolved rheological properties of swallowed food. As USR has high applicability to complex fluids, such evaluation can also be applied to porridge and yogurt with pulp, and this will be investigated in future work.‌‌‌‌


ACKNOWLEDGMENTS 

This work was financially supported by Japan Society for the Promo- tion of Science KAKENHI (Grant Number JP19H02057) and f3 Engi- neering Education and Research Center, Faculty of Engineering, Hokkaido University. The authors would like to acknowledge Ms. Yoko Ikeda, Nutrition Management Center, Hokkaido University Hospital for fruitful discussions from the early stages of this project and NUTRI Co., Ltd for willingly providing their food thickeners and advice on the experimental procedures. The first author, Kohei Ohie, would like to express his deep appreciation to the scholarship from Hayashi Rheology Memorial Foundation.‌‌‌


AUTHOR CONTRIBUTIONS

Kohei Ohie: Conceptualization (equal); data curation; formal analysis (lead); investigation (equal); methodology (equal); project administra- tion (supporting); software (lead); validation; visualization; writing— original draft (lead); writing—review and editing (equal). Haruko Chiba: Conceptualization (equal); investigation (equal); methodology (equal); project administration (supporting); writing—original draft (supporting); writing—review and editing (equal). Satomi Kumagai: Conceptualization (equal); investigation (equal); methodology (equal); resources; writing—original draft (supporting); writing—review and editing (equal). Taiki Yoshida: Conceptualization (equal); formal analy- sis (supporting); investigation (equal); methodology (equal); software (supporting); writing—original draft (supporting); writing—review and edition (equal). Yuji Tasaka: Conceptualization (equal); formal analysis‌‌‌

(supporting); funding acquisition; investigation (equal); methodology (equal); project administration (lead); software (supporting); supervi- sion; writing—original draft (supporting); writing—review and editing (equal).


ETHICAL STATEMENTS

Conflict of Interest: The authors declare that they do not have any conflict of interest.

Ethical Review: This study does not involve any human or animal testing.


ORCID

Kohei Ohie

https://orcid.org/0000-0002-9137-044X Haruko Chiba

https://orcid.org/0000-0002-4623-4465 Satomi Kumagai
https://orcid.org/0000-0003-1637-1634 Taiki Yoshida
https://orcid.org/0000-0002-9487-6198 Yuji Tasaka
https://orcid.org/0000-0002-8943-4803


REFERENCES

Bangyeekhan, S., Leelamanit, V., & Tekasakul, P. (2013). Effects of food viscosity on swallowing velocity in pharynx for different groups of age and gender. Journal of Medical and Biological Engineering33(3), 343–

348. https://doi.org/10.5405/jmbe.986

Benchabane, A., & Bekkour, K. (2008). Rheological properties of carbo- xymethyl cellulose (CMC) solutions. Colloid and Polymer Science286(10), 1173–1180. https://doi.org/10.1007/s00396-008-1882-2

Chen, J. (2009). Food oral processing—A review. Food Hydrocolloids23(1), 1–25. https://doi.org/10.1016/j.foodhyd.2007.11.013

Cutler, A. N., Morris, E. R., & Taylor, L. J. (1983). Oral perception of viscos- ity in fluid foods and model systems. Journal of Texture Studies14(4), 377–395. https://doi.org/10.1111/j.1745-4603.1983.tb00357.x

de Souza Mendes, P. R., Alicke, A. A., & Thompson, R. L. (2014). Parallel- plate geometry correction for transient rheometric experiments. Applied Rheology24(5), 1–10. https://doi.org/10.3933/applrheol-24-

52721

Einstein, A. (1906). Eine neue bestimmung der molekuldimensionen.

Annals of Physics, 19, 289–306.

Ewoldt, R. H., Hosoi, A. E., & McKinley, G. H. (2008). New measures for characterizing nonlinear viscoelasticity in large amplitude oscillatory shear. Journal of Rheology52(6), 1427–1458. https://doi.org/10. 1122/1.2970095

Ewoldt, R. H., Johnston, M. T., & Caretta, L. M. (2015). Experimental chal- lenges of shear rheology: How to avoid bad data. In S. E. Spagnolie, (Ed.) Complex fluids in biological systems (pp. 207–241). New York, NY: Springer. https://doi.org/10.1007/978-1-4939-2065-5_6

Fardin, M. A., Perge, C., Casanellas, L., Hollis, T., Taberlet, N., Ortín, J., … Manneville, S. (2014). Flow instabilities in large amplitude oscillatory shear: A cautionary tale. Rheologica Acta53(12), 885–898. https://doi. org/10.1007/s00397-014-0818-7

Fischer, P., Wheeler, E. K., & Fuller, G. G. (2002). Shear-banding structure orientated in the vorticity direction observed for equimolar micellar solution. Rheologica Acta41(1), 35–44. https://doi.org/10.1007/ s003970200003

Gao, Z., & Kohyama, K. (2014). Ultrasound pulsed wave Doppler imaging of the esophagus illustrates the effects of water volume on bolus kine- matics. Journal of Texture Studies45(5), 335–343. https://doi.org/10. 1111/jtxs.12077

Hadde, E. K., & Chen, J. (2019). Shear and extensional rheological charac- terization of thickened fluid for dysphagia management. Journal of Food Engineering245, 18–23.


Hasegawa, A., Nakazawa, F., & Kumagai, H. (2008). Measurement of mass dependence of swallowed food velocity in the pharynx by the ultra- sonic method. Journal of the Japanese Society for Food Science and Technology55, 330–337 (in Japanese).‌‌

Hasegawa, A., Otoguro, A., Kumagai, H., & Nakazawa, F. (2005). Velocity of swallowed gel food in the pharynx by ultrasonic method. Journal of the Japanese Society for Food Science and Technology52, 441–447 (in Japanese).

Houska, M., Valentova, H., Novotna, P., Strohalm, J., Sestak, J., & Pokorny, J. (1998). Shear rates during oral and nonoral perception of viscosity of fluid foods. Journal of Texture Studies29(6), 603–615. https://doi.org/10.1111/j.1745-4603.1998.tb00188.x‌

Hutchings, J. B., & Lillford, P. J. (1988). The perception of food texture-the philosophy of the breakdown path. Journal of Texture Studies19(2), 103–115. https://doi.org/10.1111/j.1745-4603.1988.tb00928.x

Irgens, F. (2014). Rheology and non-Newtonian fluids. New York: Springer International Publishing.

Kumagai, H., & Kumagai, H. (2009). Physical properties of foods and effect of water on them V: Rheology and food engineering. Japan Journal of Food Engineering10(3), 137–148 (in Japanese). https://doi.org/10. 11301/jsfe.10.137‌

Kumagai, H., Tashiro, A., Hasegawa, A., Kohyama, K., & Kumagai, H. (2009). Relationship between flow properties of thickener solutions and their velocity through the pharynx measured by the ultrasonic pulse Doppler method. Food Science and Technology Research15(3), 203–210. https://doi.org/10.3136/fstr.15.203‌

Macosko, C. W. (1994). Rheology principles, measurements, and applications.

New York, NY: VCH.

Matsumoto, S. (1978). The role of rheology in food science. Journal of the Society of Rheology, Japan6(2), 39–44 (in Japanese).

Matsuo, T., Sato, A., Kudo, K., Sadzuka, Y., & Tomita, T. (2020). Appropri- ate usage of food thickening agents to prevent non-disintegration of magnesium oxide tablets. Scientific Reports10(1), 1–7.

Moritaka, H., & Nakazawa, F. (2009). The rheological and swallowing prop- erties of rice starch. Food Science and Technology Research15(2), 133–

140. https://doi.org/10.3136/fstr.15.133

Nagatoshi, A., Noguchi, O., Itou, C., Tsuji, H., Morita, A., & Nakazawa, F. (2001). Comparison of the passage velocity of various foods in the human pharynx by ultrasonic measurement. Journal of Home Economics of Japan52(4), 343–350 (in Japanese). https://doi.org/10.11428/ jhej1987.52.343‌

Nakauma, M., Ishihara, S., Funami, T., & Nishinari, K. (2011). Swallowing profiles of food polysaccharide solutions with different flow behaviors. Food Hydrocolloids25(5), 1165–1173. https://doi.org/10.1016/j. foodhyd.2010.11.003‌‌

Nishinari, K. (2003). Rheology in food and eating. Journal of the Society of Rheology, Japan31(1), 41–50. https://doi.org/10.1678/rheology.

31.41

Nishinari, K. (2004). Rheology, food texture and mastication. Journal of Texture Studies35(2), 113–124. https://doi.org/10.1111/J.1745- 4603.2004.TB00828.X

Nishinari, K., Takemasa, M., Su, L., Michiwaki, Y., Mizunuma, H., & Ogoshi, H. (2011). Effect of shear thinning on aspiration—Toward making solutions for judging the risk of aspiration. Food Hydrocolloids25(7), 1737–1743. https://doi.org/10.1016/j.foodhyd.2011.03.016‌‌

Nishinari, K., Turcanu, M., Nakauma, M., & Fang, Y. (2019). Role of fluid cohesiveness in safe swallowing. npj Science of Food3(1), 1–13.

Ohie, K., Yoshida, T., Park, H. J., Tasaka, Y., & Murai, Y. (2020). Evaluation on time variation of effective viscosity by ultrasonic spinning rheometry (application to separating oil-water mixture). Transactions of the JSME86(890), 20-00242 (in Japanese). https://doi.org/10.1299/ transjsme.20-00242‌

Ohie, K., Yoshida, T., Tasaka, Y., & Murai, Y. (2022). Effective rheology mapping for characterizing polymer solutions utilizing ultrasonic


spinning rheometry. Experiments in Fluids63(2), 1–12. https://doi.org/ 10.1007/s00348-022-03382-0

Palmer, J. B., & Hiiemae, K. M. (1997). Integration of oral and pharyngeal bolus propulsion: A new model for the physiology of swallowing. The Japanese Journal of Dysphagia Rehabilitation1(1), 15–30. https://doi. org/10.32136/jsdr.1.1_15

Qazi, W. M., Ekberg, O., Wiklund, J., Mansoor, R., & Stading, M. (2020). Simultaneous X-ray video-fluoroscopy and pulsed ultrasound velocimetry analyses of the pharyngeal phase of swallowing of boluses with different rheological properties. Dysphagia35, 898–906. https:// doi.org/10.1007/s00455-020-10092-4

Ross, A. I., Tyler, P., Borgognone, M. G., & Eriksen, B. M. (2019). Relation- ships between shear rheology and sensory attributes of hydrocolloid- thickened fluids designed to compensate for impairments in oral manipulation and swallowing. Journal of Food Engineering263, 123–

131. https://doi.org/10.1016/j.jfoodeng.2019.05.040

Saint-Michel, B., Gibaud, T., Leocmach, M., & Manneville, S. (2016). Local oscillatory rheology from echography. Physical Review Applied5(3), 034014. https://doi.org/10.1103/PhysRevApplied.5.034014

Sakurai, K., Tasaka, Y., & Murai, Y. (2013). Modification of effective viscos- ity on bubbly flows due to transient bubble deformations. Transactions of the Japan Society of Mechanical Engineers. B79(797), 1–11. https:// doi.org/10.1299/kikaib.79.1

Shama, F., & Sherman, P. (1973). Identification of stimuli controlling the sensory evaluation of viscosity II. Oral methods. Journal of Texture Studies4(1), 111–118. https://doi.org/10.1111/j.1745-4603.1973. tb00657.x

Shiratori, T., Tasaka, Y., Murai, Y., & Takeda, Y. (2013). Development of ultrasonic visualizer for capturing the characteristics of viscoelastic fluids. Journal of Visualization16(4), 275–286. https://doi.org/10. 1007/s12650-013-0182-1

Sui, C., & McKenna, G. B. (2007). Instability of entangled polymers in cone and plate rheometry. Rheologica Acta46(6), 877–888. https://doi.org/ 10.1007/s00397-007-0169-8

Takahashi, T., Nitou, T., Tayama, N., Kawano, A., & Ogoshi, H. (2002). Effects of physical properties and oral perception on transit speed and passing time of semiliquid foods from the mid-pharynx to the hypo- pharynx. Journal of texture studies33(6), 585–598. https://doi.org/10. 1111/j.1745-4603.2002.tb01369.x

Takeda, Y. (1986). Velocity profile measurement by ultrasound Doppler shift method. International Journal of Heat and Fluid Flow7(4), 313–

318. https://doi.org/10.1016/0142-727X(86)90011-1

Takeda, Y. (Ed.). (2012). Ultrasonic Doppler velocity profiler for fluid flow.

Tokyo: Springer Science & Business Media.

Tasaka, Y., Kimura, T., & Murai, Y. (2015). Estimating the effective viscosity of bubble suspensions in oscillatory shear flows by means of ultrasonic spinning rheometry. Experiments in Fluids56(1), 1–13. https://doi.org/ 10.1007/s00348-014-1867-5

Tasaka, Y., Yoshida, T., & Murai, Y. (2021). Nonintrusive in-line rheometry using ultrasonic velocity profiling. Industrial & Engineering Chemistry Research60(30), 11535–11543. https://doi.org/10.1021/acs.iecr. 1c01795

Tasaka, Y., Yoshida, T., Ohie, K., & Kumagai, S. (2021). Ultrasonic spinning rheometry test of food rheology for better swallowing. Fine Chemicals50(2), 41–47 (in Japanese).

Tasaka, Y., Yoshida, T., Rapberger, R., & Murai, Y. (2018). Linear viscoelas- tic analysis using frequency-domain algorithm on oscillating circular shear flows for bubble suspensions. Rheologica Acta57(3), 229–240. https://doi.org/10.1007/s00397-018-1074-z

Tashiro, A., Hasegawa, A., Kohyama, K., Kumagai, H., & Kumagai, H. (2010). Relationship between the rheological properties of thickener solutions and their velocity through the pharynx as measured by the ultrasonic pulse Doppler method. Bioscience, Biotechnology, and Bio- chemistry74(8), 1598–1605. https://doi.org/10.1271/bbb.100192


Tobin, A. B., Mihnea, M., Hildenbrand, M., Miljkovic, A., Garrido- Bañuelos, G., Xanthakis, E., & Lopez-Sanchez, P. (2020). Bolus rheol- ogy and ease of swallowing of particulated semi-solid foods as evalu- ated by an elderly panel. Food & Function11(10), 8648–8658. https:// doi.org/10.1039/D0FO01728K‌‌‌

Ueha, R., Yokoyama, A., Takahashi, M., Mori, A., Goto, T., Kushiki, S., … Yamasoba, T. (2014). Appropriate thickener usage in the management of dysphagia. Deglutition3, 279–287 (in Japanese).

Wagner, C. E., Barbati, A. C., Engmann, J., Burbidge, A. S., & McKinley, G. H. (2017). Quantifying the consistency and rheology of liquid foods using fractional calculus. Food Hydrocolloids69, 242–254. https://doi.org/10.1016/j.foodhyd.2017.01.036‌

Waqas, M. Q., Wiklund, J., Altskär, A., Ekberg, O., & Stading, M. (2017). Shear and extensional rheology of commercial thickeners used for dys- phagia management. Journal of Texture Studies48(6), 507–517. https://doi.org/10.1111/jtxs.12264

Wood, F. W. (1968). Psychophysical studies on the consistency of liquid foods. Rheology and Texture of Food Stuffs, SCI Monograph27, 40–49.

Yoshida, T., Tasaka, Y., & Fischer, P. (2019). Ultrasonic spinning rheometry test on the rheology of gelled food for making better tasting desserts. Physics of Fluids31(11), 113101. https://doi.org/10.1063/1.5122874

Yoshida, T., Tasaka, Y., & Murai, Y. (2017). Rheological evaluation of com- plex fluids using ultrasonic spinning rheometry in an open container. Journal of Rheology61(3), 537–549. https://doi.org/10.1122/1.

4980852


Yoshida, T., Tasaka, Y., & Murai, Y. (2019a). Efficacy assessments in ultra- sonic spinning rheometry: Linear viscoelastic analysis on non- Newtonian fluids. Journal of Rheology63(4), 503–517. https://doi.org/ 10.1122/1.5086986

Yoshida, T., Tasaka, Y., & Murai, Y. (2019b). Effective viscoelasticity of non-Newtonian fluids modulated by large-spherical particles aligned under unsteady shear. Physics of Fluids31(10), 103304. https://doi. org/10.1063/1.5119335

Yoshida, T., Tasaka, Y., Tanaka, S., Park, H. J., & Murai, Y. (2018). Rheologi- cal properties of montmorillonite dispersions in dilute NaCl concentra- tion investigated by ultrasonic spinning rheometry. Applied Clay Science161, 513–523. https://doi.org/10.1016/j.clay.2018.05.017

Zhu, J. F., Mizunuma, H., & Michiwaki, Y. (2014). Determination of charac- teristic shear rate of a liquid bolus through the pharynx during swallowing. Journal of Texture Studies45(6), 430–439. https://doi.org/ 10.1111/jtxs.12094



How to cite this article: Ohie, K., Chiba, H., Kumagai, S.,

Yoshida, T., & Tasaka, Y. (2022). A method for evaluating

time-resolved rheological functionalities of fluid foods. Journal of Texture Studies, 1–9. https://doi.org/10.1111/jtxs.12679