指纹(计算)
材料科学
润湿
纳米技术
入侵
接触角
机制(生物学)
生物系统
计算机科学
复合材料
人工智能
地球化学
生物
认识论
地质学
哲学
作者
Chengjiao Wu,Yue Fan,Hongxin Wang,Juan Li,Yuxi Chen,Yingke Wang,Lin Liu,Lidan Zhou,Shilin Huang,Xuelin Tian
出处
期刊:Research
[American Association for the Advancement of Science]
日期:2022-01-01
卷期号:2022: 9850316-9850316
被引量:7
标识
DOI:10.34133/2022/9850316
摘要
Driven by the ever-increasing demand for fingerprint-resistant techniques in modern society, numerous researches have proposed to develop innovative antifingerprint coatings based on superhydrophobic/superoleophobic surface design. However, whether superhydrophobic/superoleophobic surfaces have favorable repellency to the microscopic fingerprint is in fact an open question. Here, we establish a reliable method that enables evaluating the antifingerprint capability of various surfaces in a quantitative way. We show that superhydrophobicity is irrelevant with fingerprint repellency. Regarding superoleophobic surfaces, two distinct wetting states of microscopic fingerprint residues, i.e., the "repellent" and the "collapsed" states, are revealed. Only in the "repellent" state, in which the fingerprint residues remain atop surface textures upon being pressed, superoleophobic surfaces can bring about favorable antifingerprint repellency, which correlates positively with their receding contact angles. A finger-deformation-dependent intrusion mechanism is proposed to account for the formation of different fingerprint wetting states. Our findings offer important insights into the mechanism of fingerprint repellency and will help the design of high-performance antifingerprint surfaces for diverse applications.
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