1. Introduction
Wettability is an essential property of solid surfaces which refers to how a liquid spreads out when placed on a solid (or liquid) substrate. The wettability phenomenon is used in several fields and is an area where chemistry, physics, and engineering overlap. Many applications employ wettability properties such as printing, painting, adhesion, lubrication, cleaning, coating, soldering, brazing, and composite processing [
1]. For example, wetting enhances the spreading of paint and adhesives on solid surfaces or the application of cosmetics onto human skin. On the contrary, dewetting is used to reduce surface contaminations; hence contaminating liquids such as oil and water are repelled and no longer attracted to that surface [
2].
Nonreactive wettability depends on the surface energy affected by the materials of spreading liquid and substrate (i.e., wetting system). In general, the wettability of a particular wetting system is affected by many factors [
3], such as surface roughness and heterogeneity, surface preparation, the presence of contaminants, the vapor environment, pressure and temperature, droplet size, and electrical charge. The surface energy is an indication of surface wetting capability, hence when the surface energy is lowered, the hydrophobicity is enhanced. In other words, a liquid with a low surface energy is able to wet a material with a high surface energy [
4,
5].
The latest development in material fabrication and synthesis techniques allowed scientists to control and form variable surface energy patterns, enabling scientists to develop a gradient in the surface energy. The surface energy patterns allow fluid droplets to form and move passively and purely in the desired direction due to the surface energy gradient [
6]. Different surface energy patterning techniques are investigated in the literature that utilize these techniques for surface self-cleaning or to enhance heat transfer and condensation [
7,
8,
9].
Surface energy depends on surface roughness, for simply rough surfaces, Wenzel’s theory can be used
, where
is the apparent contact angle,
is the contact angle, and
is the ratio of the real rough surface area to the projected perfectly smooth surface. In other words,
is proportional to the extension of surface area due to the roughness. Hence,
is greater than one for a rough surface and is equal to one for a perfectly smooth surface. In practice, this theory applies to a contact angle range of less than
[
10].
Poly Vinyl Alcohol (PVA) is the most readily biodegradable of vinyl polymers [
11,
12]. This type of biodegradable and water-soluble polymer is used in textile processing, frequently for nylon and in fiber manufacture as a raw material for the production of PVA fiber [
13]. Due to its distinguished properties, it has been reported in [
14,
15,
16,
17,
18] that PVA is used as a semiconducting polymer in fabricating storage devices and memory sensors with the use of various nanoparticles as storage elements. PVA alone is non-conductive, however, when mixed with organic plasticizers increasing their ionic conductivity thus making them suitable to be used as semiconducting polymers. The researchers used glycerol which was added to the rigid polymer, PVA, changes the polymeric properties and increases the processability, making it easier to change the molecular conformation of the polymer. Researchers have revealed a decrease in hardness and elastic modulus with an increase in plasticizer concentrations as the polymer matrix becomes more permeable [19, 20] and thus is susceptible to various applications such as sensors and actuators, batteries and capacitors, and biomedical applications [
21].
To further investigate the surface interactions of the polymer blend, the blending combinations of polyvinyl alcohol (PVA) with glycerol-choline chloride (GCC) ionic liquid are selected and tested for surface wettability. The surface energy of PVA-GCC films with different GCC contents is evaluated using the sessile drop technique. The GCC content was varied from 0% to 10% per weight of the PVA solution. The surface roughness of the films has been evaluated using SEM and nanoindenter Stylus.
2. Experimental Analysis
2.1. Material and Preparation Methods
The PVA films doped with glycerol-choline chloride (GCC) ionic liquid are prepared by solution casting method. In this method, a stock solution is prepared by adding 5 g of PVA (Mw ~ 61,000 g/mol) to 100 mL de-ionized water and sonicated for 4 hours to ensure homogenous formation of the PVA solution. The ionic liquid is prepared by mixing 1:1 glycerol to choline chloride (GCC). The 0% film was prepared first by pouring 2 mL of the PVA solution on a 1 in x 1 in glass slide. To prepare the PVA with 1% GCC solution, 0.05 g of GCC was added to 5 mL of the stock solution and kept on the Incu-shaker at 37oC and 250 rpm for 4 hours. The same procedure was followed for preparing the other samples of 2% to 10% of the PVA-GCC mixture while adding the appropriate weight of GCC to the PVA solution. After the 4-hour shaking, 2 mL of each solution is poured on a glass slide and placed in an oven at 55oC for 4 hours to dry. Finally, the films were left outside the oven for testing.
2.2. Contact Angle Measurements
The contact angle of water on PVA and doped PVA film surfaces was measured using the sessile drop method. The de-ionized water was charged into a 10.0 µL syringe. The syringe was attached to a metal stand and suspended vertically by a micromanipulator on top of the glass slide. The micromanipulator was used to adjust the position of the needle tip of the syringe carefully above the clean film sample. The tip of the syringe was positioned a few micrometers from the film to eliminate the impact effect when the droplet was released. The drop volume was taken within the range where the contact angle did not change with the modification of the volume, being 10±1 µL for water.
The film was placed on an optical stand within the focus of a two-inch charge-coupled device (CCD) digital video camera to provide enhanced image quality and resolution at low irradiance. The contact angle measurements were taken for each drop. Each data point presented an average value of at least 10 measurements. The standard deviation calculated for each data point was found to be less than 7.6°. All experiments were carried out at ambient conditions, i.e., 25±1°C and 47%±3% RH.
Eleven films were used in this study, which consisted of PVA doped with different GCC concentrations. The films were cleaned by thoroughly rinsing with distilled water. The clean slides are subsequently dried at ambient temperature prior to the start of the experiment. Each cleaned, dried film was used only once.
2.3. Roughness Measurements
Surface roughness is a measure of the texture of a surface which was measured using a nanoindenter, Micro Materials Ltd, Wrexham, UK, instrument. The nano-scratch tests for the films were performed using the scratch option. During the test, the specimen was rubbed against a static and loaded diamond indenter, which has a radius of 25 µm. A single pass scratch mode was applied using a constant load of 0.5 mN at a speed of 1 μm/s for a total length of 2000 µm. The scratch was repeated three times for each film and the average of the three scratches was reported in
Table 1. The testing load was applied to the indenter after a 20 μm pre-scan under a small load of 0.1 mN. The roughness is measured in terms of arithmetic average (
), root mean square roughness (
), maximum peak height (
), maximum valley depth (
), maximum peak to valley (
), and average peak-to-valley height (
).
The statistics were calculated over the scan length of 2000 µm. Where Ra is the arithmetic average, Rq is the root mean square roughness, Rv is the maximum valley depth, Rt is the maximum peak to valley, and Rz is the average peak to valley height. Since the roughness is directly linked to the surface wettability, the focus of the discussion will be based on these results.
2.4. Material Surface Evaluation Through SEM Imaging
To verify the surface topology, scanning electron microscopy (Jeol JSM-5600) imaging was utilized. Literature reports [
22,
23,
24] showed that SEM images of hydrophobic leaf surface microstructure have demonstrated the importance of having multiple characteristic length scales to achieve lower contact angle hysteresis. The SEM micrograph was produced for current films at an acceleration voltage of 5 kV.
3. Results and Discussion
The effects of varying GCC content on altering the surface energy of PVA-GCC films are shown in
Table 2 and the effect on contact angle is shown in
Figure 1.
The surface tensions on the films were evaluated by measuring the contact angle formed by a 10.0 µL droplet placed on PVA-GCC films. Different PVA-GCC films were cast by altering the content of GCC from 0% to 10%. The results show that increasing plasticizer, ionic liquid, (GCC) content in the film enhances wettability, or in other words, it increases the surface energy and hence decreases contact angle. As the GCC content increases, the wettability and the surface energy of the films increase. It can be observed that beyond 5% GCC content, there was minimal effect on the contact angle, however, a slight increase in the overall surface contact coverage was also noticed. This can be attributed to the adhesive forces between the molecular interaction of the PVA and GCC plasticizer and that with the surface substrate. The surface tension and adhesion ultimately correspond to the shape of the droplet and the surface coverage, thus affecting the contact angle. The contact angle for PVA without dopant closely matches that reported by Tezuka [
25], who also used the sessile drop method on PVA. He reported a contact angle of 51
o at room temperature.
As mentioned earlier, the surface energy depends on many factors and most importantly the surface roughness. Therefore, the effect of GCC on surface roughness was evaluated using a nanoindenter for a length of 2 mm.
Figure 2 shows the variation of the root mean square roughness as GCC content in PVA film was altered. A linear curve fitting is plotted for all films excluding the pure PVA film.
The results show that as GCC content increases from 0% to 10%, the surface roughness (R
q) almost tripled from 1.748 µm to 6.746 µm hence the wettability was enhanced. It is reported in the literature that lipophilicity and hydrophobicity are reinforced by roughness [
26,
27]. Hence for contact angles less than 90° such as the one observed in the PVA-GCC films, the apparent contact angle decreases with an increase in roughness. On the contrary, the apparent contact angle tends to increase with increasing roughness for contact angles greater than 90°.
Figure 3 shows the surface topology through SEM images for the even percentages of GCC-doped films that were evaluated in this study. It is clear that as the content of GCC increases the contrast of the grooves and surface roughness are more pronounced. The increased darkness is thus another indication of a rougher surface. The same pattern surface features were observed in all the samples, however with a different average diameter size as shown in
Table 3.
4. Conclusions
This work shows that increasing GCC content from 0% to 10% in PVA-GCC films increases the surface energy and hence enhances the wettability characteristics of the films. The contact angle of 10 µL deionized water droplet placed on the surface of PVA-GCC film decreases as GCC decreases. However, after GCC content reaches 5%, the contact angle remains relatively constant and is not affected. This enhancement is due to a change in the surface roughness which has increased due to the addition of the GCC. All the PVA-GCC films produced in this study are clear and transparent. It is found that roughness has a strong influence on the wettability of the PVA-GCC films.
Author Contributions
Conceptualization, Yousef Haik and Mohammad O. Hamdan.; methodology, Asma Al Hatti; validation, Asma Al Hatti, Mohammad O. Hamdan and Yousef Haik; formal analysis, Mohammad O. Hamdan and Yousef Haik; investigation, All Authors; resources, Yousef Haik; data curation, Asma Al Hatti; writing—original draft preparation, Mohammad Y. Al-Haik and Mohammad M. Kabir; writing—review and editing, Mohammad Y. Al-Haik, Mohammad M. Kabir and Md Mainul Islam; supervision, Yousef Haik and Mohammad O. Hamdan; project administration, Yousef Haik; funding acquisition, No Funding Available.
Institutional Review Board Statement
“Not applicable” for studies not involving humans or animals.
Data Availability Statement
The data used to support the findings of this study are available from the corresponding author upon request.
Acknowledgments
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Conflicts of Interest
The authors declare no conflicts of interest.
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