Abstract:"Thickness" is one of the descriptors of texture in liquid and semisolid foods. In this study, friction in thickener aqueous solutions was evaluated, using a biomimetic friction evaluation system, to show the correlation between friction data and sensory thickness and the recognition mechanism of this sensation during the process of eating. This system can measure friction forces under sinusoidal movement on fractal agar gel, which mimics the morphology and physical properties of the tongue. We found that an i… Show more
“…Although the thickness of the upper agar gel does not significantly affect the friction force or profile, the normalized delay time (δ), which is the normalized time lag in the friction force response to the contact probe’s movement, increases linearly with the thickness of the gel . In addition, we showed the correlation between the friction data of thickener aqueous solutions and the sensory thickness and the recognition mechanism of this sensation during the process of eating, using a biomimetic friction evaluation system . “Thickness” is one of the descriptors of the texture in liquid and semisolid foods.…”
Section: Introductionmentioning
confidence: 84%
“…The friction force between two agar gel substrates in the emulsions was assessed using a sinusoidal motion friction evaluation system (Figure ). The sinusoidal motion was achieved through the Scotch yoke mechanism. − The adopted evaluation method is described elsewhere . The sliding velocity ( V ) under the sinusoidal movement was calculated using the stroke length ( A ), angular velocity (ω), and time ( T ), based on eq In the present investigation, the friction conditions were as follows: A = ±14.5 mm; ω = 2.1 rad s –1 ; sampling interval = 1 ms; and normal force ( W ) = 0.39 N. In addition, the maximum sliding velocity ( V max ) and the average sliding velocity ( V ave ) for the angular velocity were 30 and 20 mm s –1 (2.1 rad s –1 ), respectively.…”
Section: Experimental
Sectionmentioning
confidence: 99%
“…Traditional systems are not suitable for mimicking the oral environment; therefore, we designed a friction evaluation system that combined a sinusoidal motion device with fractal agar gel substrates. − The developed system effectively mimicked the oral environment during eating. To evaluate the nonlinear mechanical response on a soft material surface, we created a unique device that can be used to evaluate friction under sinusoidal motion.…”
Section: Introductionmentioning
confidence: 99%
“…11 In addition, we showed the correlation between the friction data of thickener aqueous solutions and the sensory thickness and the recognition mechanism of this sensation during the process of eating, using a biomimetic friction evaluation system. 10 "Thickness" is one of the descriptors of the texture in liquid and semisolid foods. An increase in the viscosity of the thickener aqueous solution is responsible for both the sensory score of thickness and the asymmetric friction profile during a reciprocating motion.…”
In
this study, the friction properties of emulsions in an oral
environment were investigated to understand the food-texture recognition
mechanisms occurring on biological surfaces. Numerous publications
have suggested that the friction phenomena depend on friction conditions,
such as the surface characteristics, as well as the shape and movement
of contact probes. Traditional friction evaluation systems are unsuitable
for mimicking the oral environment. Thus, in this study, the friction
forces between two fractal agar gel substrates in an emulsion were
examined using a sinusoidal motion friction evaluation system that
effectively mimics the oral environment. The physical properties of
the fractal agar gel, including the elasticity, hydrophilicity, and
surface roughness, were analogous to those of the human tongue. Furthermore,
the sinusoidal motion imitated the movements of living organisms.
Depending on the samples, three friction profiles were observed. For
water, the surfactant aqueous solution, and olive oil, the friction
profiles of the outward and homeward processes were symmetric (stable
pattern). Interestingly, for an oil-in-water (O/W) emulsion, friction
behaviors with not only an asymmetric friction profile (unstable pattern
I) but also a lubrication phenomenon, which temporarily decreased
the friction force (unstable pattern II), were noted. The probability
for the appearance of unstable patterns and adhesion force between
the gel substrates increased with the oil content of the O/W emulsions.
These characteristic friction phenomena were attributed to the strong
adhesive force in the emulsion, which was sandwiched between the agar
gel substrates. The findings obtained in this study would contribute
significantly to understanding the food-texture recognition mechanisms
and dynamic phenomena occurring on biological surfaces.
“…Although the thickness of the upper agar gel does not significantly affect the friction force or profile, the normalized delay time (δ), which is the normalized time lag in the friction force response to the contact probe’s movement, increases linearly with the thickness of the gel . In addition, we showed the correlation between the friction data of thickener aqueous solutions and the sensory thickness and the recognition mechanism of this sensation during the process of eating, using a biomimetic friction evaluation system . “Thickness” is one of the descriptors of the texture in liquid and semisolid foods.…”
Section: Introductionmentioning
confidence: 84%
“…The friction force between two agar gel substrates in the emulsions was assessed using a sinusoidal motion friction evaluation system (Figure ). The sinusoidal motion was achieved through the Scotch yoke mechanism. − The adopted evaluation method is described elsewhere . The sliding velocity ( V ) under the sinusoidal movement was calculated using the stroke length ( A ), angular velocity (ω), and time ( T ), based on eq In the present investigation, the friction conditions were as follows: A = ±14.5 mm; ω = 2.1 rad s –1 ; sampling interval = 1 ms; and normal force ( W ) = 0.39 N. In addition, the maximum sliding velocity ( V max ) and the average sliding velocity ( V ave ) for the angular velocity were 30 and 20 mm s –1 (2.1 rad s –1 ), respectively.…”
Section: Experimental
Sectionmentioning
confidence: 99%
“…Traditional systems are not suitable for mimicking the oral environment; therefore, we designed a friction evaluation system that combined a sinusoidal motion device with fractal agar gel substrates. − The developed system effectively mimicked the oral environment during eating. To evaluate the nonlinear mechanical response on a soft material surface, we created a unique device that can be used to evaluate friction under sinusoidal motion.…”
Section: Introductionmentioning
confidence: 99%
“…11 In addition, we showed the correlation between the friction data of thickener aqueous solutions and the sensory thickness and the recognition mechanism of this sensation during the process of eating, using a biomimetic friction evaluation system. 10 "Thickness" is one of the descriptors of the texture in liquid and semisolid foods. An increase in the viscosity of the thickener aqueous solution is responsible for both the sensory score of thickness and the asymmetric friction profile during a reciprocating motion.…”
In
this study, the friction properties of emulsions in an oral
environment were investigated to understand the food-texture recognition
mechanisms occurring on biological surfaces. Numerous publications
have suggested that the friction phenomena depend on friction conditions,
such as the surface characteristics, as well as the shape and movement
of contact probes. Traditional friction evaluation systems are unsuitable
for mimicking the oral environment. Thus, in this study, the friction
forces between two fractal agar gel substrates in an emulsion were
examined using a sinusoidal motion friction evaluation system that
effectively mimics the oral environment. The physical properties of
the fractal agar gel, including the elasticity, hydrophilicity, and
surface roughness, were analogous to those of the human tongue. Furthermore,
the sinusoidal motion imitated the movements of living organisms.
Depending on the samples, three friction profiles were observed. For
water, the surfactant aqueous solution, and olive oil, the friction
profiles of the outward and homeward processes were symmetric (stable
pattern). Interestingly, for an oil-in-water (O/W) emulsion, friction
behaviors with not only an asymmetric friction profile (unstable pattern
I) but also a lubrication phenomenon, which temporarily decreased
the friction force (unstable pattern II), were noted. The probability
for the appearance of unstable patterns and adhesion force between
the gel substrates increased with the oil content of the O/W emulsions.
These characteristic friction phenomena were attributed to the strong
adhesive force in the emulsion, which was sandwiched between the agar
gel substrates. The findings obtained in this study would contribute
significantly to understanding the food-texture recognition mechanisms
and dynamic phenomena occurring on biological surfaces.
“…We have found that the characteristic friction stimulus with high acceleration is one of the cues to distinguish water from thickener aqueous solution [9, 10]. We also evaluated the friction dynamics on fractal agar gels, which mimic the shape and wettability of the tongue surface, and found that the friction profiles vary with the surface shape, vertical load, friction velocity and substance [15–18]. Asanuma et al found that the cosmetic sponge feels highly slippery when the friction force is low [19].…”
Objective
Evaluating friction in human skin is important to assess its condition and the effects of skincare cosmetics. In this study, we evaluated the friction dynamics of moisturized skin to show the effects of moisturization on its mechanical properties.
Methods
Friction force was evaluated using a sinusoidal motion friction evaluation system. The skin of the upper arm of 20 subjects was rubbed using a contact probe. The water content of the stratum corneum and the softness of the skin were measured using a Corneometer and a Cutometer, respectively.
Results
When human skin was treated with water or 10 wt% glycerol aqueous solution, the friction coefficients increased by 0.23 ± 0.01 and 0.17 ± 0.14, respectively, and the delay times (normalized by calculating the time interval from contact with the probe to the friction response divided by the friction time for one round trip) increased by 0.048 ± 0.034 and 0.055 ± 0.024, respectively. Three different friction profiles were observed: (a) a stable pattern, in which a smooth profile was observed during the sliding process; (b) an oscillation pattern, in which significant oscillation was obtained; and (c) a stick pattern, in which the friction coefficient increased even during the deceleration process. In the case of untreated skin, the oscillation pattern was observed for the majority of subjects. The appearance rate of the stick pattern increased by 80.3% ± 29.4% after treatment with 10 wt% glycerol aqueous solution. These characteristic friction profiles can be explained by a two‐step friction model consisting of two modes: (a) friction at the skin surface and (b) the delayed response due to skin deformation.
Conclusion
Moisturizing the skin with water or 10 wt% glycerol aqueous solution increased the friction coefficient and delay time, dramatically changing the friction profile. These changes were considered to be due to the swelling and softening of the stratum corneum and the increased true contact area between the contact probe and the skin surface.
Many foods are emulsions or dispersions containing lipids. The friction properties of foods are evaluated because they affect food texture and processability. Here, we evaluated the friction characteristics of 55 liquid or semisolid foods using a sinusoidal motion friction evaluation system to classify them based on friction dynamics. The contact surface was made to resemble a biological surface using agar gel, which exhibited a fractal structure, and the movement of the contact probe mimicked living movement by sinusoidal motion. The change in average friction coefficient (Δμ), static friction coefficient (Δμs) in a round trip, delay time (Δδ), and friction profile depended on the condition and rheological properties. Principal component analysis showed that all the friction parameters of Δμ, Δμs, Δδ, and the appearance ratio of the profile were involved in the principal components, Z1 and Z2 which are composite variables obtained by the contraction of many friction parameters in a principal component analysis. In addition, the foods were classified into three groups by cluster analysis using Z1 and Z2. The condition of the foods, rheological properties, and the presence or absence of lipids was the factors that defined each group.
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