Abstract
The hydrophobicity of a surface can be enhanced by physical textures. However, no existing theories of surface wetting can provide guidance to pinpoint the texture size requirement to achieve super/ultrahydrophobicity. Here, we show that the three-phase contact line tension, τ, is an important link to understand the dependence of macroscopic wetting on physical texture size in an ideal Cassie regime. Specifically, we show that texture size is the dominant parameter in determining surface hydrophobicity when the size approaches a limiting physical length scale, as defined by τ and the surface tension of the liquid.
Introduction
Many natural surfaces on animals, insects, and plants are highly hydrophobic.1–5 Water droplets on these natural surfaces maintain a near-spherical shape and roll off easily, carrying the dirt away with them.1,5 These observations have led to enormous interests in manufacturing biomimetic water-repellent surfaces owing to their broad spectrum of potential applications, ranging from liquid-repellent fabrics to friction-reduction surfaces.6–19 The governing mechanism of the observed high surface hydrophobicity is typically explained by the well-known Cassie–Baxter equation developed in 1944.20 Since the maximum contact angle on a smooth surface can only reach ∼120°,21 the Cassie–Baxter equation suggests that physical textures are required to further enhance the surface hydrophobicity. Specifically, the equation relates the most stable apparent equilibrium contact angle (i.e., θ*) of a liquid droplet suspended on a textured surface22,23 to its solid fraction (i.e., the portion of solid region that is in touch with the liquid droplet contact area, Φs)24 and its material surface property (i.e., the equilibrium contact angle on a smooth surface, θ),
(1) |
An important physical insight provided by the classical equation is that a high water apparent equilibrium contact angle (i.e., θ* ≥ 150°) can be achieved by reducing the texture solid fraction (i.e., Φs< 0.1) of hydrophobic surfaces (i.e., θ ≥ 90°).
Experimentally, the most stable apparent equilibrium contact angle of a water droplet on a textured surface can be difficult to attain. Liquid droplets sitting on the textured surface exhibit a variety of contact angles bound by two extreme values. The upper limit is known as the apparent advancing contact angle ( ), whereas the lower limit is referred as the apparent receding contact angle ( ). The difference between these values is known as contact angle hysteresis (i.e., , where ), whose physical origin is attributed to liquid contact line (CL) pinning to the physical roughness and chemical heterogeneity present on solid surfaces.6,25–28 By minimizing the contact angle hysteresis (i.e., Δθ* ∼ 0), textured surfaces with extremely high water repellency can be achieved.29
While most of the real surfaces show finite contact angle hysteresis, some exceptions were found in recent literature. For example, it is demonstrated that natural and artificial surfaces with texture sizes on the order of 1–100 nm show superior water repellency (i.e., ),4,15,16,19,30,31 which indicates that the apparent water contact angles on these surfaces are very close to the most stable equilibrium values (i.e., . In addition, some of these nanostructured surfaces, such as tokay gecko2,30 and mosquito Culex pipiens,4 can maintain their superhydrophobicity (i.e., 150° ≤ θ* < 180°)7 even with a high texture solid fraction (i.e.,Φs ≥ 0.1). This observation contradicts the theoretical prediction by the Cassie–Baxter equation. Furthermore, recent experiments showed that engineered hydrophobic surfaces with textures on the order of nanometers are purely ultrahydrophobic (i.e., θ* ∼ 180° and Δθ* ∼ 0).15,16,19 All of these experimental observations indicate that physical texture size, in addition to texture solid fraction, may play an important role in determining macroscopic surface hydrophobicity, which was not explicitly described in the classical and contemporary theories of surface wetting.20,23,32–39
In this Letter, we aim to provide a quantitative understanding on the relationship between surface hydrophobicity and physical texture size. Specifically, we show that CL tension at a three-phase interface, τ, is an important link to understand the dependence of macroscopic wetting on nanoscopic surface textures.
Theoretical Section
The concept of τ was first introduced by Gibbs in the 1870s,25 where it is defined as the excess free energy of a three-phase system per unit length of a CL.40,41 The physical origin of τ stems from the intermolecular forces of the molecules distributed along and in the vicinity of the CL acting upon each other.40 To understand how the three-phase CL formation influences the macroscopic wetting process, we consider a situation where a macroscopic liquid droplet suspends on a textured surface with cylindrical protrusions of radius r and solid fraction Φs (Figure 1). In particular, a number of key assumptions are made for this physical model: (1) the droplet size (or wetting radius) is much larger than that of the surface textures,22 yet smaller than the capillary length of the liquid; (2) small or negligible constraint of the three-phase CL at the protrusion edge (i.e., pinning is small or negligible); and (3) the liquid droplet is in an ideal Cassie regime (i.e., no liquid penetration into the surface textures). Under the droplet contact region, three-phase CLs are formed at the protrusion perimeters. Infinitesimal displacement of the CL is energetically favorable when the energy changes associated with the formation/destruction of new interfacial CL and surfaces lower the total energy of the three-phase system. For a very small displacement of the CL, dR, the total free energy change, dE, before and after the movement of the CL can be expressed as dE = dEsurface+ dEline, where dEsurface and dEline are the changes of surface and line energies, respectively. In particular, the surface energy change can be expressed as dEsurface = Φs (γSL − γSV)dA + (1 − Φs) γLV dA + γLV dAcos θ*, where γSL, γSV, and γLV are the surface tensions of solid–liquid, solid–vapor, and liquid–vapor interfaces, respectively, and dA is the infinitesimal area change as the contact radius displaces by dR. In addition, the total line energy change is proportional to the infinitesimal length of the three-phase contact lines formed within dA and thus can be computed as dEline=2τΦsdA/r (Supporting Information). By minimizing the total free energy change with respect to the contact area and applying the Young equation, we obtain a new governing equation which relates the texture size, r, to the most stable apparent equilibrium contact angle, θ* (Supporting Information),
(2) |
Equation (2) presents a unified description of surface hydrophobicity on a textured surface with the contributions from both surface and line energies (Supporting Information).
Results and Discussion
The quantitative nature of τ is a critical parameter that dictates the length scale of textures for line energy contribution to become dominant. While the sign of τ remains a controversial issue in the field of surface wetting science, there is now general consensus on the magnitudes of τ.40,41 For example, for a liquid droplet sitting on a flat surface, the CL tension is on the order of 10−12 – 10−10 J/m, as verified by recent high resolution scanning microscopy measurements.42,43 We denote this intrinsic form of CL tension as τintrinsic. In particular, when the characteristic curvature of a CL is on the order of τintrinsic/γLV, the influence of line energy is comparable to surface energy gained at the solid–liquid interface of a liquid droplet on a flat surface.44 On the other hand, it is important to recognize that the molecular environments in the vicinity of the three-phase CL at a protrusion edge are different from that of the flat surface. The interaction of the CL with the protrusion edge may result in an extra energy barrier26,45 due to CL pinning.25,28,46 Using the Gibbs inequality condition of pinning at a protrusion edge,25,47 one can show that the line energy barrier at the CL of an advancing liquid droplet, defined as τpinning, can be expressed as τpinning = pγLVr, provided that r is much smaller than the capillary length of the liquid and p is a non-negative coefficient that indicates the degree of pinning (Supporting Information). This suggests that τ at the protrusion edge may consist of two components; one is the intrinsic tension due to the intermolecular forces within and in the vicinity of the CL, and the other is the tension attributed to the interaction of the CL with the protrusion edge (i.e., τ = τintrinsic + τpinning). When pinning is negligible (i.e., p ∼ 0), the CL tension will be reduced to its intrinsic form (i.e., τ = τintrinsic).
We compared the proposed theoretical relationship with experimental data obtained from the well-characterized natural and artificial super/ultrahydrophobic surfaces equipped with cylindrical-like textures in the literature (Figure 2).4,10,12–14,16,19,30 Specifically, a defining characteristic for an ideal Cassie regime is signified by the low contact angle hysteresis of the surfaces (i.e., extremely high water repellency).48 Therefore, only the experimental data on super/ultrahydrophobic surfaces that satisfied this criterion (i.e., Δθ* ≤ 10°) are used to compare with the theoretical model. Based on these data, we used eq 2 to compute the corresponding line tension magnitudes (Supporting Information). The experimental trend shows a reasonable correlation with the proposed relationship with τintrinsic = 1 ×10−10 J/m and the coefficient of τpinning, p = 0.23 (n = 8, C2 = 0.80, where n and C are the number of experimental data points and the correlation coefficient, respectively). The deviation of the experimental data from the theoretical trend is attributed to the differences in protrusion edge sharpness and material surface properties (i.e., θ) for different textured surfaces. In addition, we found that when the texture size is on the order of a few nanometers,13,16,19 the estimated τ is on the order of 10−11 J/m, which is very close to the agreed magnitudes of τintrinsic.41 This indicates that pinning effects on these surfaces are very small or even negligible (i.e., p ∼ 0). On the other hand, as the texture size increases, the magnitudes of τ increase and can reach as high as the order of 10−9 J/m when r ∼ 100 nm. The large magnitudes of τ cannot be solely explained by the intrinsic line tension, which indicates the existence of pinning on these superhydrophobic surfaces (i.e., p > 0). This further reinforces that the apparent contact angles on these surfaces are not the most stable equilibrium values, which partially explained the discrepancy between the experimentally determined values and the theoretical predictions obtained by the classical Cassie–Baxter equation. This observation is in accord with a recent experimental study, which showed that the pinning effect plays an important role on superhydrophobic surfaces.49
With the new quantitative relationship of τ, one can further comment on how the surface hydrophobicity varies with the texture size using eq 2 (Figure 3). It can be shown that when θ* is approaching 180°, the radius of the protrusion is approaching a limiting physical length scale, ruh, which can be expressed as,
(3) |
Notice that this length scale includes the contribution from both τintrinsic and τpinning (i.e., p). In particular, when the pinning effect is small or negligible (i.e., 0 ≤ p < (1+cosθ)/2), ultrahydrophobicity is achieved when r ∼ ruh. With τintrinsic ∼ 10−11 J/m, γLV of water ∼ 73 × 103 J/m2, and p ∼ 0.23, ruh is on the order of 1 nm. In this regime, Φs is not an important parameter to dictate ultrahydrophobicity, provided that the droplet is in an ideal Cassie regime. This can be illustrated by two recent artificial surfaces fabricated by Choi and Kim (r ∼5–15 nm, Φs ∼0.01),16 and Dorrer and Rühe (r ∼5–10 nm, Φs ∼1 × 10−4),19 whose Φs value differs by ∼2 orders of magnitude, yet both surfaces exhibited a similar degree of ultrahydrophobicity. In addition, ruh is a weak function to the intrinsic material surface properties, θ, as compared to τintrinsic and γLV, when p is approaching zero. This implies that ultrahydrophobic surfaces could be made from a variety of materials under the condition that the droplet remains in an ideal Cassie regime. For example, Hosono et al. have recently demonstrated the use of a weakly hydrophilic material (i.e., θ = 75.2° ± 6.6°) to create an ultrahydrophobic surface (r ∼ 3 nm, Φs ∼6.12 ×10−4).13
When r is approaching ruh, surface hydrophobicity increases due to the intrinsic line tension. In this regime, small structures (i.e., small r) can impart superhydrophobicity even for a high solid fraction of textures (i.e., large Φs). It can be shown that small intrinsic line tension magnitude (i.e., ∼10−11 J/m) can influence macroscopic wetting of surfaces with texture sizes up to 50 nm in the lateral dimension (Figure 3). In the extreme case where r ≫ ruh, the influence of intrinsic line tension becomes negligible and the most stable apparent equilibrium contact angle approaches that defined by the Cassie–Baxter equation. Deviation of the apparent contact angles from the most stable equilibrium value is attributed to the pinning effect (i.e., τpinning), which is experimentally demonstrated by Öner and McCarthy,9 Tujeta et al.,18 and Kurogi et al.49
Conclusions
In summary, we show that physical texture size is the dominant parameter in determining surface hydrophobicity when the texture dimensions are on the order of τintrinsic/γLV (i.e., ruh). The new governing equation provides a theoretical groundwork that justifies the use of nanoscopic textures (i.e., order of 1–10 nm) to render a surface ultrahydrophobic. An important implication from our study is that, by using surface textures with sizes on the order of 1–10 nm, the surface hydrophobicity can be further enhanced due to the intrinsic line tension, provided that an ideal Cassie regime is satisfied. In addition, our quantitative analysis indicates that the effect of pinning reduces with the texture size. This observation may provide additional physical insight into why nanoscopic textures are required by natural superhydrophobic surfaces to achieve high surface hydrophobicity, which is advantageous in maintaining their water-repellent capabilities.
Supplementary Material
Acknowledgments
This project is supported by the Center for Scalable and Integrated Nanomanufacturing (SINAM) under the National Science Foundation (CMMI-0751621) and Center for Cell Control (PN2 EY018228) through NIH Roadmap for Nanomedicine. T.-S.W. acknowledges financial support from Intel Foundation. We thank Prof. Chang-Jin “CJ” Kim, Choonyeop Lee, Na Li, and Cecil Chen for discussions. Also, we thank Peter Lillehoj and Hsin-Huei Cheng for their help in preparing the manuscript.
Footnotes
Supporting Information Available. Derivations of the governing eq 2 and τpinning, stability analysis of the equilibrium θ*, tabulated form of line tension magnitude obtained from natural and artificial super/ultrahydrophobic surfaces, and comment on the sign of intrinsic CL tension on ultrahydrophobic surfaces. This material is available free of charge via the Internet at http://pubs.acs.org/.
References
- 1.Barthlott W, Neinhuis C. Planta. 1997;202(1):1–8. [Google Scholar]
- 2.Hansen WR, Autumn K. Proc Natl Acad Sci USA. 2005;102(2):385–389. doi: 10.1073/pnas.0408304102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Gao XF, Jiang L. Nature. 2004;432(7013):36–36. doi: 10.1038/432036a. [DOI] [PubMed] [Google Scholar]
- 4.Gao XF, Yan X, Yao X, Xu L, Zhang K, Zhang JH, Yang B, Jiang L. Adv Mater. 2007;19(17):2213–2217. [Google Scholar]
- 5.Cassie ABD, Baxter S. Nature. 1945;155(3923):21–22. [Google Scholar]
- 6.Quere D. Annu Rev Mater Res. 2008;38:71–99. [Google Scholar]
- 7.Quere D. Rep Prog Phys. 2005;68(11):2495–2532. [Google Scholar]
- 8.Blossey R. Nat Mater. 2003;2(5):301–306. doi: 10.1038/nmat856. [DOI] [PubMed] [Google Scholar]
- 9.Oner D, McCarthy TJ. Langmuir. 2000;16(20):7777–7782. [Google Scholar]
- 10.Feng L, Li SH, Li HJ, Zhai J, Song YL, Jiang L, Zhu DB. Angew Chem, Int Ed. 2002;41(7):1221–1223. doi: 10.1002/1521-3773(20020402)41:7<1221::aid-anie1221>3.0.co;2-g. [DOI] [PubMed] [Google Scholar]
- 11.Erbil HY, Demirel AL, Avci Y, Mert O. Science. 2003;299(5611):1377–1380. doi: 10.1126/science.1078365. [DOI] [PubMed] [Google Scholar]
- 12.Lau KKS, Bico J, Teo KBK, Chhowalla M, Amaratunga GAJ, Milne WI, McKinley GH, Gleason KK. Nano Lett. 2003;3(12):1701–1705. [Google Scholar]
- 13.Hosono E, Fujihara S, Honma I, Zhou HS. J Am Chem Soc. 2005;127(39):13458–13459. doi: 10.1021/ja053745j. [DOI] [PubMed] [Google Scholar]
- 14.Martines E, Seunarine K, Morgan H, Gadegaard N, Wilkinson CDW, Riehle MO. Nano Lett. 2005;5(10):2097–2103. doi: 10.1021/nl051435t. [DOI] [PubMed] [Google Scholar]
- 15.Gao LC, McCarthy TJ. J Am Chem Soc. 2006;128(28):9052–9053. doi: 10.1021/ja062943n. [DOI] [PubMed] [Google Scholar]
- 16.Choi CH, Kim CJ. Nanotechnology. 2006;17(21):5326–5333. [Google Scholar]
- 17.Zhang L, Zhou ZL, Cheng B, DeSimone JM, Samulski ET. Langmuir. 2006;22(20):8576–8580. doi: 10.1021/la061400o. [DOI] [PubMed] [Google Scholar]
- 18.Tuteja A, Choi W, Ma ML, Mabry JM, Mazzella SA, Rutledge GC, McKinley GH, Cohen RE. Science. 2007;318(5856):1618–1622. doi: 10.1126/science.1148326. [DOI] [PubMed] [Google Scholar]
- 19.Dorrer C, Ruhe J. Adv Mater. 2008;20(1):159–163. [Google Scholar]
- 20.Cassie ABD, Baxter S. Trans Faraday Soc. 1944;40:0546–0550. [Google Scholar]
- 21.Nishino T, Meguro M, Nakamae K, Matsushita M, Ueda Y. Langmuir. 1999;15(13):4321–4323. [Google Scholar]
- 22.Marmur A, Bittoun E. Langmuir. 2009;25(3):1277–1281. doi: 10.1021/la802667b. [DOI] [PubMed] [Google Scholar]
- 23.Marmur A. Annu Rev Mater Res. 2009;39:473–89. [Google Scholar]
- 24.Bico J, Marzolin C, Quere D. Europhys Lett. 1999;47(2):220–226. [Google Scholar]
- 25.Gibbs JW. The Scientific Papers of J Willard Gibbs. Dover Publications; New York: 1961. [Google Scholar]
- 26.Johnson RE, Dettre RH. J Phys Chem. 1964;68(7):1744–1750. [Google Scholar]
- 27.de Gennes PG. Rev Mod Phys. 1985;57(3):827–863. [Google Scholar]
- 28.Oliver JF, Huh C, Mason SG. J Colloid Interface Sci. 1977;59(3):568–581. [Google Scholar]
- 29.Furmidge CG. J Colloid Sci. 1962;17(4):309–324. [Google Scholar]
- 30.Autumn K, Hansen W. J Comp Physiol, A. 2006;192(11):1205–1212. doi: 10.1007/s00359-006-0149-y. [DOI] [PubMed] [Google Scholar]
- 31.Dorrer C. PhD Dissertation. IMTEK, University of Freiburg; 2007. Wetting of tailor-made micro- and nanostructured surfaces. [Google Scholar]
- 32.Wenzel RN. Ind Eng Chem. 1936;28:988–994. [Google Scholar]
- 33.Cassie ABD. Trans Faraday Soc. 1948;44(3):11–16. [Google Scholar]
- 34.Israelachvili JN, Gee ML. Langmuir. 1989;5(1):288–289. [Google Scholar]
- 35.Drelich J, Miller JD. Langmuir. 1993;9(2):619–621. [Google Scholar]
- 36.Swain PS, Lipowsky R. Langmuir. 1998;14(23):6772–6780. [Google Scholar]
- 37.Herminghaus S. Europhys Lett. 2000;52(2):165–170. [Google Scholar]
- 38.Extrand CW. Langmuir. 2002;18(21):7991–7999. [Google Scholar]
- 39.Bico J, Thiele U, Quere D. Colloids Surf, A. 2002;206(1–3):41–46. [Google Scholar]
- 40.Amirfazli A, Neumann AW. Adv Colloid Interface Sci. 2004;110(3):121–141. doi: 10.1016/j.cis.2004.05.001. [DOI] [PubMed] [Google Scholar]
- 41.Schimmele L, Napiorkowski M, Dietrich S. J Chem Phys. 2007;127(16):164715. doi: 10.1063/1.2799990. [DOI] [PubMed] [Google Scholar]
- 42.Pompe T, Herminghaus S. Phys Rev Lett. 2000;85(9):1930–1933. doi: 10.1103/PhysRevLett.85.1930. [DOI] [PubMed] [Google Scholar]
- 43.Checco A, Guenoun P, Daillant J. Phys Rev Lett. 2003;91(18):186101. doi: 10.1103/PhysRevLett.91.186101. [DOI] [PubMed] [Google Scholar]
- 44.Lipowsky R, Lenz P, Swain PS. Colloids Surf, A. 2000;161(1):3–22. [Google Scholar]
- 45.Good RJ. J Am Chem Soc. 1952;74(20):5041–5042. [Google Scholar]
- 46.Wong TS, Huang APH, Ho CM. Langmuir. 2009;25(12):6599–6603. doi: 10.1021/la900874f. [DOI] [PubMed] [Google Scholar]
- 47.Dyson DC. Phys Fluids. 1988;31(2):229–232. [Google Scholar]
- 48.Lafuma A, Quere D. Nat Mater. 2003;2(7):457–460. doi: 10.1038/nmat924. [DOI] [PubMed] [Google Scholar]
- 49.Kurogi K, Yan H, Tsujii K. Colloids Surf, A. 2008;317(1–3):592–597. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.