Department of NanoEngineering, University of California, San Diego, La Jolla, CA, USA.
Soft Matter. 2018 Sep 19;14(36):7483-7491. doi: 10.1039/c8sm01233d.
The perception of fine texture of an object is influenced by its microscopic topography and surface chemistry-i.e., the topmost layer of atoms and molecules responsible for its surface energy, adhesion, and friction generated when probed by a fingertip. Recently, it has been shown that human subjects can discriminate high-energy (i.e., hydrophilic), oxidized silicon from low-energy (i.e., hydrophobic), fluorinated alkylsilane-coated silicon. The basis of discrimination was consistent with differences between stick-slip friction frequencies generated when sliding the fingertip across the two surfaces. One aspect that was not examined was the presence of surface relief structures on the fingertip. Indeed, papillary ridges-fingerprints-may be involved in enhanced discrimination of fine textures arising from surface roughness, but how (or whether) fingerprints may also be involved in the discrimination of surface chemistry-through its effect on friction-is unknown. Here, using a mock finger made from a slab of silicone rubber shows that relief structures amplify differences in stick-slip friction when slid across either a hydrophilic oxide or a hydrophobic monolayer on silicon. We quantify the similarity between the friction traces of the mock fingers sliding across hydrophilic and hydrophobic surfaces under varying velocities and applied masses using a cross-correlation analysis. We then convert the cross-correlational data into convenient "discriminability matrices." These matrices identify combinations of downward forces and sliding velocities that enhance differences in friction between hydrophilic and hydrophobic monolayers. In addition, a computational model of macroscopic, "rate-and-state" friction confirms that frictional differences in chemistry are amplified when elastic slabs bear a patterned interface. This biomimetic approach to engineering sliding interfaces may inform the development of improved electronic skin and haptic devices and may contribute to understanding the role of relief structure in tactile perception.
物体的细微纹理感知受到其微观形貌和表面化学性质的影响,即决定表面能量、附着力和用指尖探测时产生摩擦力的最顶层原子和分子。最近,已经证明人类可以区分高能(即亲水)氧化硅和低能(即疏水)氟化烷基硅烷涂层硅。区分的基础与滑过两种表面时产生的滑滞-滑动摩擦频率的差异一致。未被检验的一个方面是指尖上是否存在表面浮雕结构。事实上,乳突纹线(指纹)可能参与增强对表面粗糙度产生的细微纹理的辨别,但指纹是否也通过对摩擦的影响参与表面化学的辨别尚不清楚。在这里,使用由硅橡胶平板制成的模拟手指表明,当在亲水氧化物或疏水单层硅上滑动时,浮雕结构会放大滑滞-滑动摩擦的差异。我们使用互相关分析来量化模拟手指在不同速度和施加质量下在亲水和疏水表面上滑动时的摩擦轨迹之间的相似性。然后,我们将互相关数据转换为方便的“可辨别性矩阵”。这些矩阵确定了向下力和滑动速度的组合,这些组合增强了亲水和疏水单层之间的摩擦差异。此外,宏观“速率-状态”摩擦的计算模型证实,当弹性平板具有图案化界面时,化学摩擦差异会被放大。这种仿生方法来设计滑动界面可能会为改进的电子皮肤和触觉设备的开发提供信息,并有助于理解浮雕结构在触觉感知中的作用。