DOI:
10.1039/D4SM00022F
(Paper)
Soft Matter, 2024,
20, 5516-5526
Flexible hydrogels connecting adhesion and wetting†
Received
6th January 2024
, Accepted 15th April 2024
First published on 16th April 2024
Abstract
Raindrops falling on window-panes spread upon contact, whereas hail can cause dents or scratches on the same glass window upon contact. While the former phenomenon resembles classical wetting, the latter is dictated by contact and adhesion theories. The classical Young–Dupre law applies to the wetting of pure liquids on rigid solids, whereas conventional contact mechanics theories account for rigid-on-soft or soft-on-rigid contacts with small deformations in the elastic limit. However, the crossover between adhesion and wetting is yet to be fully resolved. The key lies in the study of soft-on-soft interactions with material properties intermediate between liquids and solids. In this work, we translate adhesion to wetting by experimentally probing the static signature of hydrogels in contact with soft PDMS of varying elasticity of both the components. Consequently, we probe this transition across six orders of magnitude in terms of the characteristic elasto-adhesive parameter of the system. In doing so, we reveal previously unknown phenomenology and a theoretical model which smoothly bridges adhesion of glass spheres with total wetting of pure liquids on any given substrate.
1 Introduction
Soft polymeric materials like hydrogels and elastomers find a wide range of applications, both in advanced technologies and everyday life. Hydrogels are extensively utilized in biomedical engineering, including in vitro model studies,1 3D bio-printing inks,2 and drug delivery,3 due to their biocompatibility, biodegradability, and high-water content.4 Compared to hydrogels, elastomers possess greater stability in diverse environments and mechanical robustness, unless specially engineered tough hydrogels are considered.5,6 Consequently, elastomers are employed in applications that require enhanced stretchability and durability, such as soft robotics,7,8 microfluidic devices,9,10 and sensors.11,12 Hydrogels and elastomers possess distinct characteristics and are often utilized to compensate for each other's weaknesses.6,13–15 The interaction between these soft materials does not adhere to either traditional wetting or solid contact mechanics, necessitating a comprehensive understanding of the interplay between their wettability and rheological properties to optimize their performance across different applications.
Contact between two elastic surfaces dates back to the seminal work by Hertz elucidating the morphology of the contact zone.16 Briefly, for two contacting surfaces with radii, elastic moduli, and Poisson's ratios R1, E1, ν1 and R2, E2, ν2, the contact radius scales as, a ∼ (3RF/4E*)1/3, where F is the applied load. Here, R = (1/R1 + 1/R2)−1 and E* = [(1 − ν12)/E1 + (1 − ν22)/E2]−1 are the effective radius and effective elastic modulus, respectively.16 Though Hertz theory successfully explains non-adhesive contacts, it fails where adhesion is present. Taking adhesion between the contacting surfaces into account, Johnson–Kendall–Roberts (JKR)17 and Derjaguin–Muller–Toporov (DMT)18 proposed modified theories. Considering adhesion, using JKR model, the modified contact radius can be expressed as
, where w = γ1 + γ2 − γ12 is the work of adhesion.17 Here, γ1 and γ2 are the surface tensions of the individual contacting pairs, whereas γ12 is the interfacial tension. Both JKR and DMT theories have been successfully adopted to explain contacting surfaces.19–23 However, they possess limitations too.19,20,24,25 For instance, for contacting surfaces with large contact radius, i.e., a/R ≫ 0.1, the Maugis model has been found to provide more accurate description of the contact zone.24,26 Further, recent experiments involving glass spheres on very soft gels (E* ∼ 1 kPa) have demonstrated how the JKR theory breaks down due to the dominant role of solid surface tension.20,25 Also, soft gels in contact with a glass sphere can often undergo long-term deformation dynamics which disrupts our conventional understanding of contact mechanics.27 It appears that an universal model is lacking to explain contact between any two surfaces.
On the other extreme, wetting of liquids28–30 essentially corresponds to E* = 0. Existing literature has attempted to bridge contact mechanics with a finite E* to wetting with E* = 0 using theoretical treatment.31–38 However, most of them are either restricted to small-strain systems or consider the variation of elasticity of only one of the contacting pairs. Similarly, existing experimental studies are limited in scope. Most experiments consider rigid-on-soft19,20,25,27,34–36,39–43 or soft-on-rigid21,31,44–46 contacts. Hence, the effective elastic modulus E* = E1/(1 − ν12)(or E2/(1 − ν22)), i.e., always becomes a function of only one of the elastic modulus, and thus fails to provide a holistic picture. Soft-on-soft systems provide the ideal playground to tune the effective elastic modulus E*, taking into account, elasticity of both the contacting pairs and provide an excellent platform to investigate the transition. At the same time, many biological47 and artificial materials48 represent soft-on-soft contact systems. Understanding such systems is key to interpreting natural phenomena like cell adhesion47,49,50 as well as in developing advanced technologies like medical diagnostic chips,51 contact lenses,52 and artificial organs.48
In this work, we aim to bridge adhesion and wetting using a specific soft-on-soft contact system, i.e., spherical hydrogels on soft PDMS substrates across a broad range of both hydrogel and PDMS elasticity.
2 Materials and methods
2.1 Fabrication of hydrogels and soft substrates
The chemicals used in this work were purchased from Sigma-Aldrich, if not otherwise specified. To synthesize hydrogels, we used acrylamide (AAm) as a monomer, N,N′-methylene-bis-acrylamide (BIS) as the crosslinker, and 2,4,6-tri-methyl benzoyl-diphenylphosphine oxide (TPO) nanoparticle as the initiator (Fig. 1). TPO nanoparticles were synthesized by dissolving 2.5 wt% of diphenyl (2,4,6-trimethylbenzoyl) phosphine oxide (Mw = 348.48), 3.75 wt% of polyvinylpyrrolidone, and 3.75 wt% of dodecyl surface sodium salt (SDS) in DI water. After mixing the ingredients in a sonicator for 5 min at 95 °C, we obtained 10 wt% of TPO nanoparticles in DI water. Pregel solutions were prepared by diluting the monomer (2.5–13 wt%), 1 wt% of the crosslinker (based on the monomer), and 2.5 wt% of TPO nanoparticles (based on the monomer) in 0.5 mM NaIO4 solution (oxygen scavenger). The hydrogel beads were prepared by suspending 4 μL of the pregel solution in a beaker containing n-octane and a silicone oil (phenylmethylsiloxane–dimethylsiloxane copolymer, 500 cSt, Gelest). The volume ratio between n-octane and the silicone oil is maintained as 1
:
2. Spherical shapes of the hydrogel were achieved due to the density gradient between n-octane (density ρ = 0.71 g cm−3) and the silicone oil (ρ = 1.08 g cm−3). Each pregel solution was exposed to UV light (∼365 nm) for 20 min. The cured hydrogel beads were washed with heptane multiple times before each use.
![image file: d4sm00022f-f1.tif](/image/article/2024/SM/d4sm00022f/d4sm00022f-f1.gif) |
| Fig. 1 Schematic showing the synthesis process of the polyacrylamide (PAAm) hydrogels. Here, AAm: acrylamide, TPO: 2,4,6-tri-methyl benzoyl-diphenylphosphine oxide, and bis: N,N′-methylene-bis-acrylamide. | |
Soft substrates were prepared using polydimethylsiloxane (PDMS, Sylgard 184 and Sylgard 527). First, the base and curing agent of Sylgard 184 and 527 were mixed in the weight ratio of 10
:
1 and 1
:
1, respectively as per manufacturer specifications. Consequently, each prepolymer of Sylgard 184 (10
:
1) and Sylgard 527 (1
:
1) were mixed together in different weight ratios of 1
:
0, 1.5
:
1, 1
:
1, 1
:
4, 1
:
15, and 0
:
1 to modulate the elastic properties. The mixture was then thoroughly stirred, vacuumed to eliminate trapped bubbles and cured at 85 °C for 12 hours and then kept at room temperature for 2 hours before each use. Using this technique, we prepared 2 mm-thick soft substrates by controlling the prepolymer volume in a Petri dish. Mixing Sylgard 184 (10
:
1) and 527 (1
:
1) maintained the stoichiometry of each PDMS while decreasing the elastic modulus from a few MPa to kPa. This mixture is often used for studying biological tissue mechanics due to the fine control of mechanical strength.53
2.2 Rheology of hydrogels and soft substrates
For rheology measurements, each PAAm hydrogel and silicone gel was polymerized in a 60 mm-diameter-Petri dish with a thickness of 2 mm. Detailed fabrication steps are illustrated in the previous section. The cured hydrogels and silicone gels were cut into 25 mm-diameter using a cutter. The shear storage and loss modulus of the materials were measured by performing a frequency sweep test on a dynamic shear rheometer (AR 2000, TA Instruments) from 0.01 to 100 Hz at a strain rate of 1% and a normal force of 1 N (Fig. S1–S3, ESI†). A constant temperature was maintained at 25 °C, and the test adopter is a 25 mm diameter plate. The measurement is taken after waiting for 10 min to stabilize the polymer. Each measurement was repeated three times. Further, rheology measurements were also performed for plasma-treated PDMS substrates and no noticeable change in elasticity was observed with their bare (no plasma) counterpart (Fig. S4, ESI†).
The shear viscosity of PAAm 2.5 wt% was analyzed from 0.01 to 100 Hz using a dynamic shear rheometer (Kinexus Rotational Rheometer, Malvern Instruments) at 25 °C (Fig. S2(b), ESI†). Since the monomer ratio was very low, the cured PAAm 2.5 wt% was still liquid, having less than 1 Pa of the shear storage modulus. As a result, we measured the shear viscosity of PAAm 2.5 wt% instead of the shear elasticities like other hydrogels. A cup and bob geometry (C14:CP14) was used, with a rotating cylinder inserted inside the cup. The cured hydrogel was poured into the geometry, and then the temperature was equilibrated for 5 min before testing. The shear rates from 0.01 to 100 Hz were applied. The measurement was repeated three times. Here, we note that for PAAm 4.0 wt% hydrogel, G′ was slightly higher than G′′, with a difference of 0.42 Pa (1.586–1.116 Pa). The phase angle (δ) in the loss tangent (G′′/G′ = tan
δ) of PAAm 4.0 wt% was 81.4°, close to that of pure liquids (90°), indicating that PAAm 4% behaved like a liquid.
2.3 Surface tension of hydrogels
The surface tension of each prepolymer solution was measured using the pendant drop method under ambient conditions of 25 °C on a drop-shape analyzer (Kruss, DSA30) (Table S1, ESI†). The droplet volume was increased at the tip of a needle (diameter: 0.8 mm) right before it dropped. The surface tension was measured based on the Young–Laplace equation programmed on the ADVANCE software (Kruss, DSA30). Each measurement was repeated three times. The surface energy of silicone gel was assumed to be equal to the measured surface tension of silicone prepolymer because of the small strain.
2.4 AFM measurements
Further, we examined the effect of plasma treatment on PDMS surface roughness using atomic force microscopy (AFM) (MFP-3D BIO, Asylum Research). Each PDMS substrate was prepared as mentioned earlier, and treated with air plasma for 5 min. For comparison, the surface roughness of pristine PDMS and bare glass slide were also measured. The average root mean square height (Rq) and arithmetic mean roughness (Ra) of a bare glass slide are 0.54 ± 0.01 nm and 0.43 ± 0.01 nm, respectively. Representative AFM results of plasma-treated PDMS with the elasticity 6855 kPa are shown in (Fig. S5, ESI†). On average, Rq and Ra of PDMS are 0.48 ± 0.05 nm and 0.31 ± 0.03 nm before air-plasma, respectively. After air plasma treatment, Rq and Ra values increase marginally as 0.66 ± 0.03 nm and 0.52 ± 0.03 nm, respectively.
2.5 FTIR measurements
Any potential diffusion effect of PAAm hydrogel into PDMS substrate was examined under a Tensor 27 attenuated total reflectance-Fourier transformed infrared (ATR-FTIR) spectrometer (Bruker). The measurements were obtained at a 1.92 cm−1 resolution from 124 scans. We placed 2 mm thick, cured hydrogel films (E1 = 106.65 kPa) on 2 mm thick PDMS substrates (E2 = 3 kPa and E2 = 6855 kPa). After 1 hour, we removed the hydrogel films and cut the PDMS substrates to scan the cross-section of the PDMS. The FTIR spectra were collected at the nearest section of the surface where the hydrogel film was in contact. Regardless of the hydrogel contact, all the spectra overlap (see Fig. 2). As shown in Fig. 2, the main absorption peaks of PDMS were observed at wavenumber of 2964 cm−1 (C–H stretching in CH3), 1257 cm−1 (CH3 symmetric bending in Si–CH3), 1251 cm−1 and 1010 cm−1 (Si–O–Si), and 787 cm−1 (CH3 rocking in Si–CH3). The typical absorption peaks of PAAm hydrogel were not observed: at wavenumbers of 1625 cm−1 (C–O stretching), 1599 cm−1 (N–H bending), and 1452 cm−1 and 1325 cm−1 (the scissoring and twisting vibrations of CH2). Also, the spectra do not manifest the IR absorption of water at wavenumbers of 3500 cm−1 (O–H stretch) and 1635 cm−1 (O–H–O scissors bending).
![image file: d4sm00022f-f2.tif](/image/article/2024/SM/d4sm00022f/d4sm00022f-f2.gif) |
| Fig. 2 FTIR spectra for pristine 2 mm thick PDMS substrates (E2 = 3 kPa and E2 = 6855 kPa) and the same substrates with hydrogel (E1 = 106.65 kPa) deposition. | |
2.6 Imaging experiments
The side view of the static contact was imaged using FASTCAM Mini AX high-speed camera (Photron) coupled to the Resolv4K lens (Navitar). A 4× objective lens (Olympus) was additionally attached to attain the spatial resolution of 3–4 μm per pixel. For cases, where higher magnification was required, a 10× long-working distance objective lens (Optem Inc.) was used providing a spatial resolution of 2 μm per pixel. Hydrogels were placed on the silicone gels using a PTFE-coated stainless steel dispensing needle. The captured side view images were subsequently processed using custom MATLAB routines and imageJ. The contact line was located where the gray scale intensity presented the maximum slope. Within the detected boundary of the hydrogel profile, the maximum circle was fitted, and the corresponding radius, wetting foot, wetting ridge height, macroscopic contact angle, and contact radius were measured (Fig. S6, ESI†). For each pair of hydrogels and soft substrates, three to five static measurements were performed.
Since the prepared hydrogels have high water content, varying between 89.6% for hydrogel with 13.0 wt% monomer (AAm) to 97.6% for hydrogel with 2.5 wt% monomer (AAm), care was taken to perform imaging as soon as equilibrium configuration was reached to minimize dehydration of hydrogels. Here, we note that even though the water fraction is high in the prepared hydrogels, the water inside the hydrogel offers negligible force transmission and thus presents negligible contribution to adhesion.4 Consequently, although the crosslinked polymers are minority constituents in the hydrogel, they contribute primarily to the adhesion with the other material present.
As control experiments, static measurements of water droplets and glass beads were also performed on bare glass slides and the soft substrates. For static configuration where the side view shadowgraphy provides inadequate resolution or clarity (for e.g., glass sphere contacts), we use bottom-view bright-field measurements at a magnification of 10× providing a resolution of 1 μm per pixel (Fig. S7, ESI†). This is due to the fact that close to 180 contact angles exhibited by rigid glass spheres on PDMS as well as on glass slides pose significant restrictions to side-view imaging since the contact region appears to merge with its own shadow. This feature is often encountered in early time droplet spreading studies and provides an overestimation of extracted contact radius. Thus, bottom view imaging is employed to accurately pinpoint the three-phase contact line and extract the correct contact radius.54,55
3 Results and discussions
3.1 Contact/wetting morphology of flexible hydrogels
As mentioned previously, the elasticity (E1) of the hydrogels is varied by varying the monomer (AAm) weight percentage. Subsequently, rheology measurements reveal that the hydrogel elasticity varies from 0.0057 kPa to 392.80 kPa as the monomer wt% increases from 4.0% to 30% (Fig. 3 and Fig. S1 and S2, ESI†). We further prepared a liquid hydrogel using 2.5 wt% of the monomer which behaves almost like a liquid with viscosity, μ1 = 0.163 Pa s. It should be noted here that PAAm 4.0% also behaves like a liquid but for the sake of simplicity we will refer to PAAm 2.5% as the liquid hydrogel. The effect of elasticity has direct consequences on the contact/wetting configurations of the prepared hydrogels on rigid glass and soft PDMS substrates. Here, we note that the prepared soft substrates exhibit Young's modulus (i.e., E2) varying between 3 kPa to 6855 kPa (Fig. S3, ESI†). Assuming ν1,ν2 ≈ 0.5,27,46 we thus vary E* between 0.007 kPa to 104 kPa: a parameter space significantly broader than those probed in existing literature (Table S2, ESI†). At the same time, the extensive elasticity variation of both the top (hydrogel) and the bottom (PDMS, glass) contacting pair provides us with the unique opportunity to probe adhesion-to-wetting transition.
![image file: d4sm00022f-f3.tif](/image/article/2024/SM/d4sm00022f/d4sm00022f-f3.gif) |
| Fig. 3 Variation of elastic (Young's) modulus E1 of the prepared hydrogels with AAm (acrylamide) monomer weight percentage. The solid line is a guide for the eye. | |
To probe the transition, we performed a thorough static characterization of 1 mm radius hydrogels (R0 = 0.96 ± 0.04 mm) on 1 mm thick, soft PDMS and rigid glass substrates using shadowgraphy. For comparison, we also highlight the equilibrium configurations of water droplets and glass spheres on the soft PDMS and rigid glass substrates. In Fig. 4, we exhibit the different equilibrium contact/wetting configurations of the hydrogels on rigid (glass) and soft (PDMS) substrates. On the one hand, at equilibrium, PAAm 2.5% (μ1 = 0.163 Pa s) behaves like a fully wetting liquid on the glass and PDMS substrates evident from the spherical cap profile. On the other hand, the stiffer hydrogels, i.e., PAAm 13 wt% (E1 = 106.65 kPa) onward exhibit solid-like contact morphology. The hydrogels with intermediate elasticity exhibit morphology intermediate between liquid-like and solid-like. Thus, by varying the monomer wt%, we are able to mimic fully wetting liquid drops as well as non-wetting solid spheres exhibiting a broad control of wettability and elasticity (Fig. 4). The contact/wetting morphology of hydrogels are similar for rigid glass substrates as well as soft PDMS substrates with a finite elasticity E2. Furthermore, we observe that plasma treatment of the prepared substrates has negligible influence on the static configuration of the hydrogels (Fig. S8, ESI†).
![image file: d4sm00022f-f4.tif](/image/article/2024/SM/d4sm00022f/d4sm00022f-f4.gif) |
| Fig. 4 Equilibrium snapshots of hydrogels of varying elasticity (E1) in contact with soft PDMS substrates (E2 = 3 kPa and E2 = 6855 kPa) and rigid glass substrates. The first row of images corresponds to the liquid-like hydrogels with μ = 0.163 Pa s while the second and third row of images corresponds to hydrogels with Young's modulus E1 = 0.18 kPa and E1 = 106.65 kPa, respectively. | |
Based on our experimental observations, we recreate the static configuration of the spherical hydrogels on pristine, soft PDMS substrates and glass substrates using appropriate schematics (see Fig. 5a). From Fig. 4 and 5a, it is evident that the hydrogels form a distinct foot-like region close to the three phase contact line: a phenomenon first predicted by Joanny et al.56 and later experimentally verified.46 The foot region exhibits a finite contact angle θ* which is markedly different than that exhibited by pure water/glycerol droplets on rigid substrates (Fig. 5b and c). The appearance of the foot diminishes with decreasing hydrogel elasticity and disappears for the two liquid-like hydrogels (PAAm 2.5 wt% and PAAm 4.0 wt%) mimicking wetting of pure liquids like water or glycerol with a macroscopic contact angle θm, which in this limit is the Young's angle θY (Fig. 5a–c). The foot region also diminishes for the stiffer hydrogels and although they possess a finite θ*, it is difficult to extract their foot angle with high accuracy due to very small foot dimensions. Consequently, for stiffer hydrogels, we use θm to analyze their contact behavior. Thus, we show how with increasing elasticity E1, the hydrogel contact angles increases from θ → 0 exhibited by complete wetting systems and eventually converge to θ → 180°, commonly exhibited by glass spheres on any given surface (Fig. 5b). Conversely, in terms of the elasticity ratio of the top and bottom pair, i.e., E1/E2, we obtain the Young's angle in the limit of E1/E2 → 0 whereas the Hertz/JKR contact angle is recovered for E1/E2 > 10−2 (Fig. S9, ESI†). Further, we observe that for the relatively stiffer hydrogels, variation of contact angles with substrate elasticity is insignificant whereas for the relatively softer ones, the observed contact angles are higher on PDMS than glass substrates. The variations of θ* and θm with PDMS elasticity E2 as well as with plasma treatment are shown in further details in ESI† (Fig. S10).
![image file: d4sm00022f-f5.tif](/image/article/2024/SM/d4sm00022f/d4sm00022f-f5.gif) |
| Fig. 5 (a) Schematics of the different contact/wetting configuration of hydrogels on soft/rigid substrates. Here, R0 and a are the initial hydrogel radius and contact radius, respectively. a0 and δ are the fitted apparent contact radius and apparent indentation depth, respectively. h and l are the foot-height and foot-length, respectively. θ* is the contact angle of the foot while θm is the macroscopic contact angle. (b) Variation of contact angle (θ*,θm) with hydrogel elasticity E1 on pristine, soft PDMS (E2 = 3 kPa and E2 = 6855 kPa) and rigid glass substrates. Inset shows the snapshot of a rigid sphere on a rigid glass substrate. Scale bar represents 0.5 mm. (c) Macroscopic contact angles θm of liquid hydrogel and common liquids like water and glycerol on pristine, soft PDMS (E2 = 3 kPa and E2 = 6855 kPa) and rigid glass substrates. Insets show the snapshots of 1 mm radius water and glycerol drops wetting rigid glass substrates. Scale bars represent 0.5 mm. (d) Variation of contact radius a with hydrogel elasticity E1 on pristine, soft PDMS (E2 = 3 kPa and E2 = 6855 kPa) and rigid glass substrates. The contact radius data for rigid glass spheres are also shown. (e) Variation of foot height h with hydrogel elasticity E1 on pristine, soft PDMS (E2 = 3 kPa and E2 = 6855 kPa) and rigid glass substrates. | |
Here, we reveal the variation of contact/wetting features like contact radius and foot height with hydrogel elasticity E1. As shown in Fig. 5d, irrespective of substrate elasiticity, the hydrogels exhibit wetting to non-wetting characteristics with increasing elasticity E1: a behavior manifested by gradually decreasing contact radius a. On the one hand, the hydrogels with the two lowest elasticity behave like liquid drops and exhibit significant spreading upon initial contact with the substrates. On the other hand, with increasing elasticity, the hydrogels exhibit decreasing spreading trend and converges to the contact behavior shown by rigid glass spheres. However, the contact behavior, i.e., the contact radius is dominated mostly by hydrogel elasticity and shows certain subtle changes with substrate elasticity, which will be discussed later in the text. To further analyze the contact morphology, we extract the apparent contact radius a0 and apparent indentation depth δ by fitting the largest possible circle to the hydrogel profile (Fig. 5a and Fig. S6, ESI†). Consequently, we highlight the deformation zone, i.e., the foot in terms of its height h and length l (Fig. 5a). It can be observed from Fig. 5e that with increasing hydrogel elasticity, the foot-height reduces as well. The foot height also diminishes in the low elasticity limit and completely disappears for the liquid hydrogel. It should be noted here that the occurrence of foot is primarily due to accumulation of polymers of the hydrogel.56,57 A similar trend, i.e., decreasing with increasing elasticity is observed for the variation of apparent indentation depth and foot-length as well (Fig. S11, ESI†). Lastly, effect of plasma treatment presents negligible change to these individual parameter trends (Fig. S12, ESI†).
3.2 Variation of contact radius with effective elastic modulus
In Fig. 6a, we analyze the variation of the hydrogel–PDMS substrate as well as the hydrogel–glass substrate contact radius a for different hydrogels with the effective elastic modulus of the contacting pair E*. It should be noted here that the contribution of surface (PDMS/glass) elasticity, i.e., E2 is embedded in E*. We observe that with increasing E*, the contact radius decreases and eventually converges to magnitude for rigid glass spheres atop the soft substrates. Interestingly, we observe that the hydrogel contact radius increases only marginally on plasma treated soft substrates (Fig. 6a, open symbols), exhibiting the same overall trend with E* as before. The effect of wettability of the underlying substrate only becomes prominent for the softest hydrogel (PAAm 4.0 wt% E1 = 0.0057 kPa), where the contact radius is significantly larger for glass slides (Fig. 6a, semi-open symbols) and plasma treated PDMS substrates (Fig. 6a, open symbols) as compared to pristine PDMS substrates (Fig. 6a, closed symbols). This observation reflects that below a certain elasticity, the hydrogels start to exhibit liquid-like wetting behavior: higher degree of wetting for hydrophilic (glass, plasma treated PDMS) surfaces than hydrophobic (pristine PDMS) ones. At the same time, above a certain hydrogel elasticity, i.e., for the two stiffest hydrogels, we observe higher contact radii on glass and plasma treated PDMS than on pristine PDMS. Thus, we observe deviations from wettability independence at both high and low elasticity limits.
![image file: d4sm00022f-f6.tif](/image/article/2024/SM/d4sm00022f/d4sm00022f-f6.gif) |
| Fig. 6 (a) Variation of contact radius a with effective Young's modulus E* for hydrogels-on-PDMS, hydrogels-on-glass slide, and glass sphere-on-PDMS system. E1 represents the elastic modulus of the hydrogels whereas PDMS elasticity E2 is embedded in E*. The closed symbols, open symbols and half-closed symbols represent hydrogels on pristine PDMS, hydrogels on plasma-treated PDMS and hydrogels on glass slides, respectively. The data for spherical glass spheres on PDMS (grey circles) is also shown. The Hertz and JKR theory (see main text) for both hydrogels (dashed lines) and glass spheres (solid lines) are plotted. The plots representing the theory are extended artificially beyond the Hertz/JKR limit of small strain, or equivalently a ≥ 0.4 (see main text). (b) Variation of contact radius a with effective Young's modulus E* for hydrogels-on-PDMS as well as liquid hydrogel and water droplets on PDMS (corresponds to E* = 0). The dashed lines show the fitting a ∼ E*−1/3 (pink), a ∼ E*−1/4 (black), and a ∼ E*−1/5 (violet). The prefactors are C0 = 1.2, C1 = 1.0, and C2 = 0.7. The symbol coding is same as (a). | |
It should be noted here that for relatively softer hydrogels, a ≈ R0 while for relatively stiffer ones, a < R0, where R0 ≈ 1 mm is the initial hydrogel radius. Consequently, the effective strain of the system, i.e., a/R0 varies from 0.05 to greater than 5. Nevertheless, we first compare our experimental data with Hertz and JKR theories. Note that for fitting Hertz (or JKR), we have used F = mg, i.e., weight of the hydrogel. We observe that Hertz theory deviates significantly from our experimental data, whereas JKR theory finds agreement only for certain cases. Notably, for hydrogels and glass spheres, JKR theory provides a satisfactory match for E* > 20 kPa. The above condition coincides with a/R0 < 0.4, an important consideration for JKR (or Hertz) theory to hold. Here, for fitting JKR theory, we used w ≈ 110–130 mN m−1 and w ≈ 44 mN m−1 for hydrogel–PDMS/glass substrates (see ESI†) and glass–PDMS substrate27 contacts, respectively. It should be noted here that the lack of agreement for Hertz theory is likely due to presence of adhesion and large deformations present in our system. Also, since the Tabor parameter58 relevant to the problem, β = (R0w2/E*2z0)1/3 ≫ 1, no comparison with DMT theory18 was performed. Here, z0 is the characteristic length scale representing the range of surface forces and is in the order of nanometers.21,58
The limiting case of wetting of water droplets and liquid hydrogel on all the substrates (PDMS and glass) are shown in Fig. 6b which corresponds to E* ≈ 0. Consequently, we attempt to fit our hydrogel contact radius data occurring beyond the Hertz/JKR limit with that of wetting of pure liquids (water and liquid hydrogel). For the sake of completeness, we used different fitting laws: a ∼ E*−1/3 (JKR), a ∼ E*−1/4 (simplified Maugis46), and a ∼ E*−1/5. Note that whereas the prefactor C0 ∼ w1/3R02/3 can be derived from JKR theory, the prefactors C1 ∼ w1/4R03/4 and C2 ∼ w1/5R04/5 are obtained using dimensional analysis. For example, w1/5R04/5 ≈ 0.0026 N1/5 m3/5 ≈ 0.7 N1/5 mm3/5 (adjusted for units in E* converted to N mm−2). We observe that both the power laws with exponents −1/4 and −1/5 agree well with our experimental data whereas the JKR exponent −1/3 deviates significantly. Here, we note that both the scaling laws predict a → ∞ as E* → 0. However, pure liquids exhibit finite wetting radius for partially-wetting and hydrophobic surfaces and only for complete wetting they form an extended thin film whose wetting radius can be considered approaching a very large value. Thus, the scaling laws are restricted only for total wetting scenario. At the same time, in order to interpret the adhesion-to-wetting transition, we need to analyze our experimentally observed contact radius with respect to the relative significance of work of adhesion w which promotes contact and effective elasticity E* which opposes it. Thus, to better represent our entire range of experimental parameters, we non-dimensionalize our observed contact radius a with respect to hydrogel radius R0 and the relative significance of adhesion energy and elastic energy in the form of non-dimensionalized elasto-adhesive parameter E*R0/w.33,35 Here w accounts for all the relevant work of adhesion present in the system i.e., glass–PDMS, hydrogel–PDMS, and hydrogel–glass. Additionally, using non-dimensional analysis aids us in effectively comparing our findings with similar phenomena studied in existing literature.20,39,40
3.3 Transition between wetting and adhesion
Here, we analyze the variation of normalized contact radius a/R0 with non-dimensionalized elasto-adhesive parameter E*R0/w. We compare our experimental data with the normalized forms of JKR and Maugis theories. Maugis’ theory24,26,59 is applicable for large deformations and a wide parameter space. According to this approach, the contact radius can be expressed as,24 | ![image file: d4sm00022f-t2.tif](/image/article/2024/SM/d4sm00022f/d4sm00022f-t2.gif) | (1) |
where F is the applied load. On numerically solving eqn (1) using our system properties and F = 0, we observe that real number solutions are obtained only intermittently. Note that while fitting JKR and Maugis models, using F = mg instead of F = 0 bears negligible difference on the final solution since the radius of the hydrogel is below the capillary length-scale. Further, since our experimental contact radius spans across a large range, i.e., 0.06–5 mm and assumes values close to and even greater than the hydrogel radius of 0.96 mm, we approximated eqn (1) for the case a → R0, yielding a ∼ (πw/E*), or equivalently a/R0 ∼ (πE*R0/w)−1. As shown in Fig. 7a, normalized JKR theory overlaps with some of our experimental data for E*R0/w > 200 whereas both general (eqn (1)) and large strain approximation of the Maugis’ theory intermittently obey our experimental data. Consequently, we observe that most of our experimental data can be fitted using the scaling law, a/R0 ∼ (E*R0/w)α, where the exponents α = −1/4 and α = −1/5 both are in reasonable agreement. Here, the fitting parameter is of the order of unity. However, upon plotting existing literature data corresponding to rigid-on-soft as well as soft-on-rigid contact systems (Table S2, ESI†) in the same plot, we observe that the scaling law with exponent α = −1/4 is in better agreement. In this regard, we note that even though majority of literature data represents contact of rigid spheres on soft substrates, they fall nicely on our experimental data, validating our approach to use the elasto-adhesive parameter to represent such systems.
![image file: d4sm00022f-f7.tif](/image/article/2024/SM/d4sm00022f/d4sm00022f-f7.gif) |
| Fig. 7 (a) Variation of normalized contact/wetting radius a/R0 with elasto-adhesive parameter E*R0/w for hydrogels of different elasticity (E1) on soft PDMS substrates of different elasticity(E2) as well as on rigid glass slides. The normalized contact radius data for rigid glass spheres on PDMS substrates are also shown. The contribution of E2 is embedded in E*. The closed symbols, open symbols and half-closed symbols represent hydrogels on pristine PDMS, hydrogels on plasma-treated PDMS and hydrogels on glass slides, respectively. The dashed red and dashed green lines represent the JKR and approximated Maugis model, respectively (see main text). The dashed blue and pink lines represent the scaling laws, a/R0 ∼ (E*R0/w)−1/4 and a/R0 ∼ (E*R0/w)−1/5, respectively. The blue shaded regions represent the standard Maugis model (eqn (1)). Literature data20,39,40,43,46 are shown in the same plot. (b) Comparison of our experimental data (same as in (a)) with JKR theory (red dashed line) and the proposed model (eqn (2), black solid line). | |
Although, both the aforementioned scaling laws reasonably agree with our experimental data across six order of magnitude in E*R0/w, we argue that E*R0/w ≈ 200 can be thought of as a reasonable transition point above which JKR theory is applicable considering experimental bounds. Incidentally, using this limit in the JKR theory predicts a limiting strain of a/R0 = (9π/400)1/3 ≈ 0.4, which coincides with our experimental data. Essentially, the limit represents the small strain aspect of Hooke's law upon which JKR theory is based. Thus, for material design considerations where strain is not known a priori, this limit in terms of elastoadhesive parameter can act as a crucial guideline. Furthermore, using theoretical modeling for contact of rigid spheres on soft substrates, Zhang et al.33 made similar observations whereby JKR theory was found to be valid for E*R0/w ≥ 100 and exhibited significant deviations for E*R0/w ≤ 10. However, for their chosen contacting pairs, effects of solid surface tension was hypothesized to be dominant below the above mentioned limit whereas for the present study, we observe onset of wetting-like interactions.
To physically interpret our experimental observations beyond just scaling laws, we revisit conventional contact theories relying on minimization of total energy (elastic, adhesion, capillary) of the contact system with respect to either contact radius a or indentation depth δ. For the small-to-large deformations present in the current work, the appropriate elastic energy is the solution of the Boussinesq problem, where the growth (or decay) in contact size for a spherical punch on an elastic half-space can be considered as crack propagation along the interface with the energy release rate G0 (conventionally represented as energy per unit area) expressed as,24,31,60
. Consequently, upon evaluating the energy release rate over the contact area A = πa2, we can express the elastic energy as,
. Upon using x′ = a/R0, we can express the integral as
, where the integral evaluates the strain dx′. Upon solving the integral using the approximation, ln[(1 + x′)/(1 − x′)] ≈ 2
tanh−1
x′ ≈ 2(x′ + x′3/3), we can express the elastic energy as, Uel ∼ E*R03[1/9(a/R0)9 + 8/7(a/R0)7 + 16/5(a/R0)5] (see ESI†). Minimizing total energy, U = Uel + Uad, where Uad = −πwa2 is the adhesion energy, with respect to contact radius a, we obtain the following relation between strain and elasto-adhesive parameter,
| ![image file: d4sm00022f-t6.tif](/image/article/2024/SM/d4sm00022f/d4sm00022f-t6.gif) | (2) |
On numerically solving eqn (2), we observe that the proposed model smoothly translates our experimental data from low to high strains (Fig. 7b), even beyond a/R0 = 1, diverging only at E* = 0 (pure liquid case). Also, for eqn (2), only one real solution exists whereas the remaining six solutions are complex. Further, we observe that for low strains, i.e., a/R0 < 0.4, the last term on L.H.S of eqn (2) becomes dominant and the proposed model recovers the classical JKR solution (Fig. 7b). In the energy minimization approach, often a capillary term is added accounting for the energy of the hydrogel spherical cap profile:31Ucap ≈ 2πγ(a2 + b2/2), where b is the vertical height of the hydrogel. For adhesive contacts, b ≫ a, Ucap ≈ πγb2 and thus the term vanishes upon partial derivative w.r.t. a. For contacts in the transition zone, a ≈ b, Ucap ≈ 3πγa2 and thus (∂Ucap/∂a) ∼ πγa. And for wettting like configuration, a ≫ b, Ucap ≈ 2πγa2 and thus (∂Ucap/∂a) ∼ πγa. Hence, the contribution of Ucap is insignificant for E*R0/w > 200 and causes a slight downshift of the solution of eqn (2) for E*R0/w < 200.
Here, we note that as E*R0/w → 0, the present contact problem extends well beyond Hookean elasticity and may include additional factors like non-linear elasticity37,61 or plasticity.62 Additionally, surface tension effects (hydrogel, PDMS) are expected to contribute for E*R0/w ≤ 10. As mentioned previously, we observe onset of wetting like interactions for the softest hydrogel (E1 = 0.0057 kPa), where the contact radius is dependent on substrate wettability typical of liquids. As shown in Fig. 7, this behavior corresponds to E*R0/w = 0.06 suggesting that onset of wetting occurs when adhesion significantly dominates over elasticity. We note here that for simplicity, we have used E*R0/w ≈ 0.1 as the bound for onset of wetting although E*R0/w ≈ 1 is equally likely. Eventually, the contribution from elasticity disappears in the liquid limit (E* = 0), where adhesion induced contact is solely resisted by liquid (hydrogel) surface tension γ. Here, we can express the contact as a/R0 ∼ f(γ/w). For the simplest case,
,35 which obeys our experimentally observed contact radius values for very soft/liquid hydrogels as well as water droplets on pristine PDMS substrates. Conversely, in the liquid limit, i.e., wetting, for systems such as a liquid drop on a rigid substrate or a small particle on a liquid substrate, assuming w ∼ γ(1 + cos
θY), the contact radius can be expressed solely as a function of the Young's angle.30,38 Further, in this limit, elasticity effects will influence the wetting morphology only when the underlying substrate is sufficiently soft. The manifestation of this effect provides the wetting ridge structure, localized at the three-phase contact line.63–65 This particular aspect is briefly discussed in the following section.
3.4 Deformation foot and wetting ridge
Interestingly, the contact radius is not the sole variable aiding our understanding of this transition problem. As mentioned previously, the hydrogels undergo a deformation close to the contact and exhibit a foot-like region (Fig. 8a). The foot diminishes as the hydrogel elasticity increases (or decreases) and resembles the spherical cap configuration of water droplets for the liquid hydrogel. Here, we probe the evolution of the hydrogel foot-height to better understand the adhesion-wetting transition. Briefly, we recall that for rigid glass spheres (E1 ≈ ∞) and liquid droplets (E1 ≈ 0) on soft substrates, deformation creates a ridge like structure on the soft substrates below the contact line19,20,27,63–67 (Fig. 8a). However, for a finite elasticity E1, the deformation forms a foot like structure into the hydrogel close to the contact line. As shown in Fig. 8b and c, the foot height increases with decreasing E*R0/w and eventually experiences an inflection point at E*R0/w ≈ 0.2–0.5 (or equivalently, E1 ≈ 0.005 kPa–0.1 kPa). Below that threshold value, the deformation occurs in the soft substrates at the contact line. The commonly called wetting ridge is observed for the liquid-like hydrogel (μ1 = 0.163 Pa s) on the soft substrates. As convention, we represent deformation in the hydrogel as +ve and that in the soft substrate as −ve in Fig. 8b and c. Further, we observe that the hydrogel with least elasticity, i.e., E1 = 0.0057 kPa exhibits no foot for some of the softer PDMS substrates whereas the liquid hydrogel exhibits no wetting ridge for some of the stiffer PDMS substrates indicating a delicate dependence on E* at the inflection point. Lastly, in stark contrast to deformation in soft substrates, which obey h ∼ γ/E2,63–65 here we observe that the hydrogel foot height can be represented using a scaling law, h/R0 ∼ (w/E*R0)1/2 (best-fit exponent = 0.49) (Fig. 5b and Fig. S14 and S15, ESI†): a dependence with E−1/2 rather than E−1. However, a more rigorous theoretical analysis to interpret the parabolic nature of foot height h across the entire parameter space is beyond the scope of the present work.
![image file: d4sm00022f-f8.tif](/image/article/2024/SM/d4sm00022f/d4sm00022f-f8.gif) |
| Fig. 8 (a) Schematics of liquid droplets on soft substrates forming a wetting ridge and hydrogels forming a distinct foot-like deformation region. (b) Variation of normalized foot-height h/R0 with elasto-adhesive parameter E*R0/w for hydrogels of different elasticity (E1) on soft PDMS substrates of different elasticity (E2). The dashed black line represents the scaling law, h/R0 ∼ (E*R0/w)−1 whereas the dashed blue line represents the scaling law, h/R0 ∼ (E*R0/w)−1/2. The closed symbols, open symbols and half-closed symbols represent hydrogels on pristine PDMS, hydrogels on plasma-treated PDMS and hydrogels on glass slides, respectively. (c) Linear plot of variation of normalized foot-height h/R0 with elasto-adhesive parameter E*R0/w for the hydrogel with the lowest elasticity, the liquid hydrogel and water droplets. Deformation in hydrogel (foot) is along the +ve h/R0 axis, while those in PDMS (wetting ridge) is along the −ve h/R0 axis. The red spline is artificially drawn to highlight the transition from (b) to (c). | |
4 Conclusions and outlook
Through careful experimentation of hydrogels, water droplets and rigid glass spheres on soft PDMS and rigid glass substrates, we have highlighted the transition from contacting surfaces16,17 to wetting of liquids.30 Our observations indicate that the transition is effectively captured by the characteristic elasto-adhesive parameter E*R0/w which accounts for elasticity of both the contacting pairs as well the work of adhesion between the two.33 From the analysis of contact/wetting radius, we identify that the transition region has an upper bound, i.e., E*R0/w ≈ 200, beyond which JKR theory can adequately explain contacting surfaces. As a lower bound, E*R0/w ≈ 0.1 is indicative of a transition to wetting of liquids. The identified bounds provide a framework to guide engineering controls in material design pertinent to soft robotics,7,8 nanomaterials,68 pressure-sensitive adhesives,69etc. At the same time, we highlight that the crossover of the contact/wetting radius from adhesion to wetting can be expressed using a higher order polynomial in strain a/R0 with respect to the elasto-adhesive parameter E*R0/w, which recovers the JKR theory for small strains. Comparison with existing literature data on rigid-on-soft and soft-on-rigid contact systems yields satisfactory agreement.
Earlier research often overlooked the smooth transition from wetting to adhesion regimes, despite the prevalence of soft and deformable surfaces in biological systems and applications.49,70 Grasping the interplay between these elements is crucial for controlling and analyzing vital performance metrics in contact systems, such as cell spreading.47 For example, Chakrabarti, et al. examined the static states of polyacrylamide hydrogel spheres on surfaces of varying wettability based on Maugis Law.46 However, they maintained the underlying substrate's elasticity as a constant, i.e., using rigid substrates. Jensen et al. identified a four-phase contact zone using a soft gel, although one contact pair involved rigid glass.43 Cai et al. systematically probed the topological features of wetting ridges of gels under liquid droplets, analyzing them based on Flory–Huggins energy of mixing.71 Notably, their focus remained on gel wetting rather than encompassing the broader wetting-to-adhesion spectrum. In this context, the present experimental data spanning six orders of magnitude of characteristic elasto-adhesive parameter and the supporting theoretical model offer profound insights into soft contact systems.
Lastly, analysis of the foot-like deformation region of the hydrogel provides us with a crucial insight: as E*R0/w approaches zero, the deformation in the hydrogel (top contacting pair) tends to zero and instead onset of deformation in the soft substrate (bottom contacting pair), i.e., the wetting ridge occurs. This observation has interesting implications: the foot region promotes adhesion with the underlying substrate, and as it diminishes the hydrogels can detach and roll off the substrate, and in that process can act as surface cleaning agents. Thus, use of such hydrogels has the potential to provide an alternative, more convenient route to generic surface cleaning compared to sophisticated, complex lithography techniques typically employed to fabricate textured superhydrophobic materials.72
Author contributions
B. Z. and S. K. M. conceived the study. A.-R. K. and S. M. performed the experiments with assistance from S. S. A.-R. K., S. M., and S. S. analyzed the data. S. M. wrote the manuscript with inputs from all the authors. B. Z. and S. K. M. supervised the research.
Conflicts of interest
The authors declare no conflict of interest.
Acknowledgements
The authors are grateful to Lukas Bauman (Department of Chemical Engineering, University of Waterloo) for assistance with hydrogel preparation and Prof. Michael K. C. Tam (Department of Chemical Engineering, University of Waterloo) for providing the dynamic shear rheometer. A.-R. K. acknowledges financial support from Waterloo Institute for Nanotechnology, University of Waterloo, in the form of Nanofellowship 2021. B. Z. acknowledges the support of NSERC RGPIN-2019-04650 and RGPAS-2019-00115. S. M., S. S., and S. K. M. acknowledges the support of the Discovery Grant (NSERC, RGPIN-2024-03729).
Notes and references
- T. Matsuzaki, G. Sazaki, M. Suganuma, T. Watanabe, T. Yamazaki, M. Tanaka, S. Nakabayashi and H. Y. Yoshikawa, J. Phys. Chem. Lett., 2014, 5, 253–257 CrossRef CAS PubMed.
- T. Zhou, H. Yuk, F. Hu, J. Wu, F. Tian, H. Roh, Z. Shen, G. Gu, J. Xu and B. Lu,
et al.
, Nat. Mater., 2023, 1–8 Search PubMed.
- G. Alici, Expert Rev. Med. Devices, 2015, 12, 703–715 CrossRef CAS PubMed.
- J. Yang, R. Bai, B. Chen and Z. Suo, Adv. Funct. Mater., 2020, 30, 1901693 CrossRef CAS.
- A. Stricher, R. Rinaldi, C. Barrès, F. Ganachaud and L. Chazeau, RSC Adv., 2015, 5, 53713–53725 RSC.
- H. Yuk, T. Zhang, G. A. Parada, X. Liu and X. Zhao, Nat. Commun., 2016, 7, 12028 CrossRef PubMed.
- J. Shintake, V. Cacucciolo, D. Floreano and H. Shea, Adv. Mater., 2018, 30, 1707035 CrossRef PubMed.
- Y. Zhang, D. Yang, P. Yan, P. Zhou, J. Zou and G. Gu, IEEE Trans. Rob., 2021, 38, 1806–1819 Search PubMed.
- T. Fujii, Microelectron. Eng., 2002, 61, 907–914 CrossRef.
- A. Lamberti, S. L. Marasso and M. Cocuzza, RSC Adv., 2014, 4, 61415–61419 RSC.
- J. Kim, E.-F. Chou, J. Le, S. Wong, M. Chu and M. Khine, Adv. Healthcare Mater., 2019, 8, 1900109 CrossRef.
- J. Guo, X. Liu, N. Jiang, A. K. Yetisen, H. Yuk, C. Yang, A. Khademhosseini, X. Zhao and S.-H. Yun, Adv. Mater., 2016, 28, 10244–10249 CrossRef CAS PubMed.
- G. Demirci, M. J. Niedźwiedź, N. Kantor-Malujdy and M. El Fray, Polymers, 2022, 14, 1822 CrossRef CAS PubMed.
- M. Grosjean, S. Ouedraogo, S. Déjean, X. Garric, V. Luchnikov, A. Ponche, N. Mathieu, K. Anselme and B. Nottelet, ACS Appl. Mater. Interfaces, 2022, 14, 43719–43731 CrossRef CAS PubMed.
- P. Le Floch, X. Yao, Q. Liu, Z. Wang, G. Nian, Y. Sun, L. Jia and Z. Suo, ACS Appl. Mater. Interfaces, 2017, 9, 25542–25552 CrossRef CAS.
- H. Hertz, J. Reine Angew. Math., 1882, 92, 22 Search PubMed.
- K. L. Johnson, K. Kendall and A. D. Roberts, Proc. R. Soc. London, Ser. A, 1971, 324, 301–313 CAS.
- B. V. Derjaguin, V. M. Muller and Y. P. Toporov, J. Colloid Interface Sci., 1975, 53, 314–326 CrossRef CAS.
- H.-J. Butt, B. Cappella and M. Kappl, Surf. Sci. Rep., 2005, 59, 1–152 CrossRef CAS.
- R. W. Style, C. Hyland, R. Boltyanskiy, J. S. Wettlaufer and E. R. Dufresne, Nat. Commun., 2013, 4, 1–6 Search PubMed.
- K.-K. Liu, J. Phys. D: Appl. Phys., 2006, 39, R189 CrossRef CAS.
- P. Prokopovich and V. Starov, Adv. Colloid Interface Sci., 2011, 168, 210–222 CrossRef CAS.
- J. Erath, S. Schmidt and A. Fery, Soft Matter, 2010, 6, 1432–1437 RSC.
- D. Maugis, Langmuir, 1995, 11, 679–682 CrossRef CAS.
- J. T. Pham, F. Schellenberger, M. Kappl and H.-J. Butt, Phys. Rev. Mater., 2017, 1, 015602 CrossRef.
- D. Maugis, J. Colloid Interface Sci., 1992, 150, 243–269 CrossRef CAS.
- A.-R. Kim, S. K. Mitra and B. Zhao, J. Colloid Interface Sci., 2022, 628, 788–797 CrossRef CAS PubMed.
- T. Young, Philos. Trans. R. Soc. London, 1805, 65–87 CrossRef.
- P.-G. De Gennes, Rev. Mod. Phys., 1985, 57, 827 CrossRef CAS.
-
P.-G. De Gennes, F. Brochard-Wyart and D. Quéré, et al., Capillarity and wetting phenomena: drops, bubbles, pearls, waves, Springer, 2004, vol. 315 Search PubMed.
- T. Salez, M. Benzaquen and É. Raphaël, Soft Matter, 2013, 9, 10699–10704 RSC.
- J. Long, G. Wang, X.-Q. Feng and S. Yu, Int. J. Solids Struct., 2016, 84, 133–138 CrossRef.
- L. Zhang and C. Ru, J. Appl. Mech., 2019, 86, 051004 CrossRef.
- X. Xu, A. Jagota and C.-Y. Hui, Soft Matter, 2014, 10, 4625–4632 RSC.
- C.-Y. Hui, T. Liu, T. Salez, E. Raphael and A. Jagota, Proc. R. Soc. A, 2015, 471, 20140727 CrossRef.
- Z. Cao, M. J. Stevens and A. V. Dobrynin, Macromolecules, 2014, 47, 3203–3209 CrossRef CAS.
- A. Pandey, B. Andreotti, S. Karpitschka, G. Van Zwieten, E. H. van Brummelen and J. H. Snoeijer, Phys. Rev. X, 2020, 10, 031067 CAS.
- S. Karpitschka, L. van Wijngaarden and J. H. Snoeijer, Soft Matter, 2016, 12, 4463–4471 RSC.
- D. Rimai, L. DeMejo and R. Bowen, J. Appl. Phys., 1989, 66, 3574–3578 CrossRef CAS.
- D. Rimai, L. DeMejo, W. Vreeland and R. Bowen, Langmuir, 1994, 10, 4361–4366 CrossRef CAS.
- J. Ally, E. Vittorias, A. Amirfazli, M. Kappl, E. Bonaccurso, C. E. McNamee and H.-J. Butt, Langmuir, 2010, 26, 11797–11803 CrossRef CAS PubMed.
- K. E. Jensen, R. W. Style, Q. Xu and E. R. Dufresne, Phys. Rev. X, 2017, 7, 041031 Search PubMed.
- K. E. Jensen, R. Sarfati, R. W. Style, R. Boltyanskiy, A. Chakrabarti, M. K. Chaudhury and E. R. Dufresne, Proc. Natl. Acad. Sci. U. S. A., 2015, 112, 14490–14494 CrossRef CAS.
- L. Liu and K.-K. Liu, Colloids Surf., A, 2021, 611, 125828 CrossRef CAS.
- J. Sokoloff, Langmuir, 2016, 32, 135–139 CrossRef CAS PubMed.
- A. Chakrabarti, A. Porat, E. Raphaël, T. Salez and M. K. Chaudhury, Langmuir, 2018, 34, 3894–3900 CrossRef CAS.
- U. S. Schwarz and S. A. Safran, Rev. Mod. Phys., 2013, 85, 1327 CrossRef CAS.
- S. Zhao and R. Zhu, Adv. Mater., 2017, 29, 1606151 CrossRef.
- Z. Gong, S. E. Szczesny, S. R. Caliari, E. E. Charrier, O. Chaudhuri, X. Cao, Y. Lin, R. L. Mauck, P. A. Janmey and J. A. Burdick,
et al.
, Proc. Natl. Acad. Sci. U. S. A., 2018, 115, E2686–E2695 CAS.
- Q. Li, G. Y. Lee, C. N. Ong and C. T. Lim, Biochem. Biophys. Res. Commun., 2008, 374, 609–613 CrossRef CAS PubMed.
- K. J. Regehr, M. Domenech, J. T. Koepsel, K. C. Carver, S. J. Ellison-Zelski, W. L. Murphy, L. A. Schuler, E. T. Alarid and D. J. Beebe, Lab Chip, 2009, 9, 2132–2139 RSC.
- J. Kopecek, J. Polym. Sci., Part A: Polym. Chem., 2009, 47, 5929–5946 CrossRef CAS PubMed.
- R. N. Palchesko, L. Zhang, Y. Sun and A. W. Feinberg, PLoS One, 2012, 7, e51499 CrossRef CAS PubMed.
- A. Eddi, K. G. Winkels and J. H. Snoeijer, Phys. Fluids, 2013, 25, 013102 CrossRef.
- S. Mitra and S. K. Mitra, Langmuir, 2016, 32, 8843–8848 CrossRef CAS.
- J. Joanny, A. Johner and T. A. Vilgis, Eur. Phys. J. E: Soft Matter Biol. Phys., 2001, 6, 201–209 CrossRef CAS.
- A. Bouillant, P. J. Dekker, M. A. Hack and J. H. Snoeijer, Phys. Rev. Fluids, 2022, 7, 123604 CrossRef.
-
D. Tabor, Plenary and invited lectures, Elsevier, 1977, pp. 3–14 Search PubMed.
-
D. Maugis, Contact, adhesion and rupture of elastic solids, Springer Science & Business Media, 2000, vol. 130 Search PubMed.
- D. Maugis and M. Barquins, J. Phys. D: Appl. Phys., 1983, 16, 1843 CrossRef.
- Y. Tatara, J. Eng. Mater. Technol., 1991, 113, 285–291 CrossRef.
- D. Maugis and H. Pollock, Acta Metall., 1984, 32, 1323–1334 CrossRef CAS.
- R. W. Style, R. Boltyanskiy, Y. Che, J. Wettlaufer, L. A. Wilen and E. R. Dufresne, Phys. Rev. Lett., 2013, 110, 066103 CrossRef.
- A. Marchand, S. Das, J. H. Snoeijer and B. Andreotti, Phys. Rev. Lett., 2012, 109, 236101 CrossRef PubMed.
- E. R. Jerison, Y. Xu, L. A. Wilen and E. R. Dufresne, Phys. Rev. Lett., 2011, 106, 186103 CrossRef PubMed.
- R. W. Style, A. Jagota, C.-Y. Hui and E. R. Dufresne, Annu. Rev. Condens. Matter Phys., 2017, 8, 99–118 CrossRef CAS.
- S. J. Park, B. M. Weon, J. S. Lee, J. Lee, J. Kim and J. H. Je, Nat. Commun., 2014, 5, 4369 CrossRef CAS PubMed.
- Q. Wu, W.-s Miao, Y.-d Zhang, H.-j Gao and D. Hui, Nanotechnol. Rev., 2020, 9, 259–273 CrossRef CAS.
- S. Sun, M. Li and A. Liu, Int. J. Adhes. Adhes., 2013, 41, 98–106 CrossRef CAS.
- R. V. Martinez, A. C. Glavan, C. Keplinger, A. I. Oyetibo and G. M. Whitesides, Adv. Funct. Mater., 2014, 24, 3003–3010 CrossRef CAS.
- Z. Cai, A. Skabeev, S. Morozova and J. T. Pham, Commun. Mater., 2021, 2, 21 CrossRef CAS.
- E. Celia, T. Darmanin, E. T. de Givenchy, S. Amigoni and F. Guittard, J. Colloid Interface Sci., 2013, 402, 1–18 CrossRef CAS PubMed.
|
This journal is © The Royal Society of Chemistry 2024 |