Characterization of the mechanical properties of a dermal equivalent compared with human skin <i>in vivo</i> by indentation and static friction tests

Zahouani, H.; Pailler-Mattéi, C.; Sohm, B.; Vargiolu, R.; Cenizo, Valérie; Debret, Romain

doi:10.1111/j.1600-0846.2008.00329.x

Cited by 177 publications

(125 citation statements)

References 24 publications

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“…The force required to achieve the maximum extension, which is generally quite low (1.7 N), depends on the peel contact angle [76]. The production of a substrate with a Young's modulus (about 7 --10 kPa) [77] close to that of human skin would better discriminate patch performances including the adhesive/ cohesive shift as a function of peel rate and application time [70].…”

Section: Prediction Of Patch In Vivo Adhesive Performancesmentioning

confidence: 99%

Adhesive properties: a critical issue in transdermal patch development

Cilurzo

Gennari

Minghetti

2011

Expert Opinion on Drug Delivery

116

113

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Section: Prediction Of Patch In Vivo Adhesive Performancesmentioning

confidence: 99%

Adhesive properties: a critical issue in transdermal patch development

Cilurzo

Gennari

Minghetti

2011

Expert Opinion on Drug Delivery

116

113

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“…Many of these models assume skin to be an isotropic, linear elastic material (Zahouani et al 2009;Diridollou et al 2000;Pailler-Mattei et al 2008;Khatyr et al 2006). In these cases, the skin is often characterised by a Young's modulus and Poisson's ratio.…”

Section: Introductionmentioning

confidence: 99%

Mechanical characterisation of in vivo human skin using a 3D force-sensitive micro-robot and finite element analysis

Flynn

Taberner

Nielsen

2010

Biomech Model Mechanobiol

107

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The complex mechanical properties of skin have been the subject of much study in recent years. Several experimental methods developed to measure the mechanical properties of skin in vivo, such as suction or torsion, are unable to measure skin's anisotropic characteristics. An experiment characterising the mechanical properties of in vivo human skin using a novel force-sensitive micro-robot is presented. The micro-robot applied in-plane deformations to the anterior forearm and the posterior upper arm. The behaviour of the skin in each area is highly nonlinear, anisotropic, and viscoelastic. The response of the upper arm skin is very dependent on the orientation of the arm. A finite element model consisting of an Ogden strain energy function and quasi-linear viscoelasticity was developed to simulate the experiments. An orthogonal initial stress field, representing the in vivo skin tension, was used as an additional model parameter. The model simulated the experiments accurately with an error-of-fit of 17.5% for the anterior lower forearm area, 6.5% for the anterior upper forearm and 9.3% for the posterior upper arm. The maximum in vivo tension in each area determined by the model was 6.2 Nm(-1) in the anterior lower forearm, 11.4 Nm(-1) in anterior upper forearm and 5.6 Nm(-1) in the posterior upper arm. The results also show that a finite element model with a neo-Hookean strain energy function cannot simulate the experiments with the same accuracy.

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“…While some indentation devices have reported much lower stiffness on the forearm (approximately 8 kPa) [8,10], these estimates have been generated at much lower strains. Other deformation profiles report higher values.…”

Section: Discussionmentioning

confidence: 98%

“…Current research devices and clinical products for in vivo skin assessment typically employ a single mode or method of deformation, such as suction [1][2][3][4][5], torsion [6,7], indentometry [8][9][10][11], ballistometry [12], shear deformation [13][14][15], or extensometry [16][17][18]. Mechanical properties reported using these techniques vary widely.…”

Section: Introductionmentioning

confidence: 99%

Multidirectional In Vivo Characterization of Skin Using Wiener Nonlinear Stochastic System Identification Techniques

Parker

Jones

Hunter

et al. 2016

Journal of Biomechanical Engineering

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A triaxial force-sensitive microrobot was developed to dynamically perturb skin in multiple deformation modes, in vivo. Wiener static nonlinear identification was used to extract the linear dynamics and static nonlinearity of the force-displacement behavior of skin. Stochastic input forces were applied to the volar forearm and thenar eminence of the hand, producing probe tip perturbations in indentation and tangential extension. Wiener static nonlinear approaches reproduced the resulting displacements with variances accounted for (VAF) ranging 94-97%, indicating a good fit to the data. These approaches provided VAF improvements of 0.1-3.4% over linear models. Thenar eminence stiffness measures were approximately twice those measured on the forearm. Damping was shown to be significantly higher on the palm, whereas the perturbed mass typically was lower. Coefficients of variation (CVs) for nonlinear parameters were assessed within and across individuals. Individual CVs ranged from 2% to 11% for indentation and from 2% to 19% for extension. Stochastic perturbations with incrementally increasing mean amplitudes were applied to the same test areas. Differences between full-scale and incremental reduced-scale perturbations were investigated. Different incremental preloading schemes were investigated. However, no significant difference in parameters was found between different incremental preloading schemes. Incremental schemes provided depth-dependent estimates of stiffness and damping, ranging from 300 N/m and 2 Ns/m, respectively, at the surface to 5 kN/m and 50 Ns/m at greater depths. The device and techniques used in this research have potential applications in areas, such as evaluating skincare products, assessing skin hydration, or analyzing wound healing.

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Characterization of the mechanical properties of a dermal equivalent compared with human skin in vivo by indentation and static friction tests

Cited by 177 publications

References 24 publications

Adhesive properties: a critical issue in transdermal patch development

Adhesive properties: a critical issue in transdermal patch development

Mechanical characterisation of in vivo human skin using a 3D force-sensitive micro-robot and finite element analysis

Multidirectional In Vivo Characterization of Skin Using Wiener Nonlinear Stochastic System Identification Techniques

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