Abstract
The world has long experienced the impact of surfaces fouling with biofilms, not only in economic terms, but also, importantly, the adverse effect that biofilms can have with regard to public health. In the USA alone, billions of dollars are spent every year cleaning equipment, decontaminating products and cleaning ship hulls, while over 100,000 mortalities are reported annually as a result of infections resulting from medical device implant surgeries that have been compromised by the presence of pathogenic bacteria. Of great concern is that the heavy use of chemicals for neutralising bacterial colonies has resulted in the production of tougher, more resistant strains of pathogenic bacteria, which challenges the scientific community to find new approaches for controlling the formation of biofilms. Recently, the hierarchical structures found on the surfaces of some organisms, such as plant leaves and insect cuticles, have been shown to be superhydrophobic, self-cleaning, and possess bactericidal activity. Since the self-cleaning properties of the lotus leaf were reported in 1997, there has been a great deal of effort put into exploring this approach as a potential method for controlling the formation of biofilms. These discoveries may provide alternative approaches for controlling bacterial behaviour, either before or after the bacteria have attached to a substrate surface. This chapter provides a summary of some of the strategies employed by nature for controlling the colonisation of bacteria on surfaces.
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Keywords
- Antibiofouling
- Superhydrophobicity
- Self-cleaning
- Bactericidal activity
- Wettability
- Plant leaves
- Insect cuticule
- Mechanobactericidal activity
2.1 Introduction
Biofouling has remained a complex, problematic issue for a long period of time. Its consequences impact not only upon the economy, but also public health. For this reason, antibacterial materials have been developed in order to design advanced strategies for limiting the colonisation of bacteria on their surfaces (Zhang et al. 2013). Traditionally, antibacterial surfaces were designed so that their surfaces would leach biocides, which would kill bacterial cells in situ and in areas surrounding the surface. For example, peptides and chitosan have been used as chemical-based methods for controlling the colonisation of bacteria on surfaces (Gazit 2007; Qi et al. 2004). Antibacterial metal nanoparticle s such as silver (Rai et al. 2009), copper (Hsiao et al. 2006), and molybdenum (Yasuyuki et al. 2010) have also been used as an additive for controlling bacterial attachment. The effects of these metals on human health and the environment are of growing concern. In addition, ever-increasing doses are now being required for chemical-based methods to effectively sterilise surfaces. This increased use of chemical agents has led to another problem; bacterial resistance to antibiotics. Therefore, the scientific community must continue to find alternative methods for effectively controlling bacterial attachment.
More recently, new approaches for preventing bacterial attachment, which use photocatalytic metal oxides such as TiO2 (Gelover et al. 2006) and ZnO (Franklin et al. 2007; Jones et al. 2008), have been developed. These materials produce highly reactive species such as hydroxyl radicals, hydrogen peroxide and superoxide, which are lethal to Escherichia coli and some other types of bacterial cells (Maness et al. 1999; Ibáñez et al. 2003). These metal oxides are, however, mainly activated by UVA light sources, which limits their potential biomedical applications (In et al. 2007; Fu et al. 2005).
Superhydrophobic /self-cleaning surfaces based on natural materials such as plant leaves and insect cuticles are currently being developed for controlling bacterial colonisation. Traditionally, only those materials that could induce bacterial cell death were considered to be antibacterial materials (Zhang et al. 2013), however antibiofouling materials, many of which are also superhydrophobic, can also classified in this category due to their potential application in controlling bacterial attachment. Many natural surfaces have been subjected to harsh environmental conditions in that they are constantly in contact with pollutants and changing weather conditions. Over millions of years of evolution, organisms have developed strategies that enable them to survive. Lotus leaves have been studied in detail since 1997 and have given rise to the archetypal “lotus effect” due to their self-cleaning nature (Barthlott and Neinhuis 1997). The properties that afford the lotus leaf these self-cleaning properties are their high water contact angle (θ > 150°) and low tilting angle (θ < 10°), the angle to which the leaf needs to be tilted in order for the water droplet to roll off the surface. These properties allow water droplets to collect dirt as they move over the surface, hence the term ‘self-cleaning’ (Webb et al. 2011) being applied to such surfaces. If artificial surfaces can be synthetically produced to possess similar surface characteristics and therefore cause water to behave in a similar way, bacterial cells could potentially also be cleaned from such surfaces before they have a chance to develop a biofilm. A similar phenomenon was also observed on the surfaces of sections of some insects , such as cicada and dragonfly wings. Interestingly, some insect surfaces possess not only self-cleaning properties, but also act as bactericidal surfaces (Ivanova et al. 2012; Pogodin et al. 2013).
2.2 Basics of Biofilms
A biofilm is defined as the attachment and development of microorganism community embedded in extracellular matrix on a surface (O’Toole et al. 2000). The organisms undergo a transition state between having the ability to be free swimming in their native environment (planktonic cells) to being cells that form part of the surface-attached community. The essential factors necessary for the formation of a biofilm are microbes and a substratum (Garrett et al. 2008). There are numerous advantages for bacteria to be part of a biofilm; these include resistance to antibiotics (Schmidt et al. 2012) and disinfectants (Ryu and Beuchat 2005; Simões et al. 2009) and being part of a dynamic environment (Liu and Tay 2002; Di Iaconi et al. 2005). Intercellular communication within the biofilm community also enhances the regulation of gene expression, which enables the bacterial cells to temporally adapt to any phenotypic variations in the surrounding environment, in addition to any deficiency in the available nutrient supply (Dalton and March 1998; Kjelleberg and Molin 2002; Daniels et al. 2004).
Biofilm formation can involve a single microbial sp ecies or multiple microbial species adhering onto a range of surfaces. On most environmental surfaces, mixtures of various species will dominate the biofilm. It is usually a single bacterial species, however, that is responsible for the infection of medical devices and implants (Holmes et al. 2008; Behlau and Gilmore 2008; Seo et al. 2008; Bulgarelli et al. 2013; Wu et al. 2012). According to a public health report in 2002 (Klevens et al. 2007), approximately 64 % of hospital attending cases resulted from the viable bacterial infection of medical devices and implants. These biofilms have been associated with 100,000 mortalities annually in the US alone. Researchers began studying biofilms over three decades ago, with the discovery that under natural living conditions, microorganisms dominantly attach themselves to surfaces (Geesey et al. 1977). The first recorded observation was published in 1933 by Henrici (1933), however the impact of biofilm formation had been recognised even before this time in the form of the fouling of ships in marine environments (Angst 1923). It has been estimated that the fouling of US Navy ships costs approximately US$ 180M–$260M per year. This represents only 0.5 % of the total number of ships world-wide (Schultz et al. 2011).
The initial development of a biofilm is described by a two stage kinetic binding model (Fig. 2.1). The first stage involves the initial reversible interaction that takes place between bacterial cells and the material surface, followed by the second stage where specific and non-specific interactions take place at the molecular level (Lichter et al. 2009; Bos et al. 1999). The interactions that occur in the second stage involve proteins that are expressed on the bacterial surface and on molecules on the material surfaces. The second stage occurs slowly and is irreversible once a mature biofilm has been formed. Apart from these two main steps of biofilm maturation, O’Toole et al. proposed that the starvation response pathway can also be considered as part of the biofilm development (O’Toole et al. 2000). This pathway is developed when the source of nutrients becomes depleted, and single microbial cells detach from the surface and return to their planktonic state, and commence infecting new areas of the surface.
For these reasons, controlling bacterial attachment on material surfaces has been a long-standing battle for science. Several approaches have been developed to limit the colonisation of microbes onto the surfaces, however most of these have focussed on using chemical-based methods for bacterial control, which has led to the new and rising problem of bacterial resistance to these agents. Preventing bacterial adhesion from occurring by modifying the surface topography of substrates has been id entified as an approach that may provide attractive alternative strategies for controlling biofilm formation .
2.3 Antibiofouling Based on the Self-Cleaning Properties of a Surface
2.3.1 Wettability Theory
Wettability is a measure of the ability of a liquid to wet and spread over a solid surface. The contact angle, which is a function of surface energy of the solid, is formed when the liquid/vapour interface meets that of the liquid/solid interface. The wettability of solid surfaces plays an important role in daily life, industry and agriculture. Surfaces with special wettability properties, exhibiting for example high degrees of hydrophobici ty or hydrophilicity, have been the subject of much research due to the potential advantages associated with these types of surfaces (Nosonovsky and Bhushan 2005, 2007; Su et al. 2010). According to the most commonly agreed definitions, surfaces can be classified into one of four categories:
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surfaces with a water contact angle greater than 150° and a tilting angle less than 10°. These surfaces are considered to be superhydrophobic and self-cleaning.
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surfaces with a water contact angle between 90° and 150°. These surfaces are described as being hydrophobic.
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surfaces with a water contact angle between 10° and 90°. These surfaces are described as being hydrophilic.
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surfaces with a water contact angle less tha n 10°. These surfaces are considered to be superhydrophilic.
The measurement of water contact angle (WCA, θ) is the most common method for determining the wettability of surfaces. Originally, the contact angles were determined by Young’s Eq. 2.1 where the surfaces were assumed to be smooth, rigid, chemically homogeneous, insoluble and non-reactive (Zhang et al. 2013; Young 1805):
where θ is the contact angle; γ is the surface tension which is determined as the force per unit length; s, l, v represent solid, liquid and vapour, respectively. Surface tension is also known as surface energy, which is the energy required to br eak an intermolecular bond (Nosonovsky and Bhushan 2008). Numerically, surface tension and surface energy are equivalent, however they are thermodynamically different (Yan et al. 2011). Surface tension is used when dealing with liquids, whilst surface energy is a general term used for the description of solid surfaces.
In practice, most surfaces are both rough and chemically heterogeneous, and this complexity at the interface between the solid and liquid surfaces causes difficulties in determining the real contact angle. Wenzel first proposed a model to explain the relationship between surface roughness and the measured contact angle (Wenzel 1949), while Cassie and Baxter (1944) described the relationship between the surface fractions of different chemical composition and the contact angle. Wenzel’s equation is shown as:
where θ rough and θ smooth are water con tact angles on rough and ideal smooth surfaces, respectively, and r is the Wenzel roughness factor. The roughness factor is calculated as the ratio between the actual surface area and the projected surface area, which can be used to explain the change in surface hydrophobicity that arises through roughness, not surface chemistry. According to the theory, there are two separate cases where θ rough will behave differently as the roughness factor incre ases, depending on the value of θ smooth :
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(i)
if θ smooth <90°, as r increases, θ rough will reduce to 0°
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(ii)
if θ smooth >90°, as r increases, θ rough will approach 180°.
According to the Cassie and Baxter model, surface heterogeneity induces air entrapment between the topographical structures on a surface, which causes increased surface hydrophobicity , as given in the equation:
where, θ is the composite contact angle of t he heterogeneous surface, f 1 and f 2 are the area fractions of surface components 1 and 2, and θ 1 and θ 2 are their respective contact angles. This equation has been used widely to explain and/or predict the hydrophobicity of the surfaces with both a micro- and nano-hierarchical structure. When a water droplet sits on a rough surface, the two surface components that affect surface wettability are the surface itself and the air trapped between the surface features. Since the water contact angle on air can be taken as 180° (i.e. θ 2 = 180°), and f2 = 1 – f1, then Eq. 2.3 becomes:
$$ \cos \theta ={f}_1\left( \cos {\theta}_1+1\right)-1 $$(2.4)
According to Cassie-Baxter theory, superhydrophobicity arises from the combination of hierarchical surface structures that enable the entrapment of air on low surface energy materials. The sliding angle, another parameter that is important in determining the degree of hydrophobicity , is defined as the critical angle at which the water droplets start to slide along a tilted surface (Bhushan et al. 2009; Jung and Bhushan 2006; Yan et al. 2011). The scientific community has become aware of this principle only in the past century, whereas nature has adapted and evolved over millions of years to develop mechanisms that function according to this principle. Lotus leaves have long been regarded as a symbol of purity in many Asian cultures, and this originates from their clean nature despite being often found in unclean environmental conditions. It is now well established that the self-cleaning ability of the l otus leaf is a direct result of surface micro- and nanostructures that maximise the quantity of entrapped air in the surface, resulting in the condition of superhydrophobicity , in accordance to the Cassie-Baxter wetting regime. Several other organisms have been identified to utilise similar mechanisms, including other plant species and some insects. Some marine organisms are also known to remain clean through the different, but related concept of superoleophobicity. The following sections will focus on these organisms and the mechanisms by which their surfaces exhibit antibiofouling properties for c ontrolling bacterial colonisation onto the surfaces.
2.3.2 Plant Leaves
Since Barthlott and Neinhuis first reported the ‘lotus effect’, the lotus has become the archetype surface for exhibiting superhydrophobicity and self-cleaning abilities (Barthlott and Neinhuis 1997). Lotus leaves satisfy the two factors that are reflected in the Cassie-Baxter theory. The surface is covered by a layer of lipids, which are low in surface energy. The lipids appear as a layer of multiscale structures that enable a large quantity of air to be trapped in between the surface features. This results in a surface with very high WCA (θ ≈ 165°) and low tilting angle, hence the surface can remain clean as the water droplets collect dirt and contaminating particles as they roll off the surface. In Fig. 2.2, a mercury droplet that is spherical in shape can be seen to roll across the surface of a leaf. Cont aminants also adhere to the droplet rather than the surface. This demonstrates how superhydrophobic and self-cleaning surfaces can be very useful templates for designing antibiofouling materials.
Many other plants exhib it very similar properties to that of the lotus leaf, for example the Indian canna, taro and cabbage leaves. Plants first moved from water onto land approximately 480–360 million years ago; this was an important event in the history of life as it highlighted the consequences of the evolutionary changes of terrestrial organisms and global environments (Kenrick and Crane 1997). To cope with their new environments, plants developed a protective ‘skin’, known as the cuticle. The plant cuticle is a thin layer of lipophilic compounds that function as a protective barrier to perform various physiological, ecological and developmental roles. These roles include minimising water loss, reducing the leaching of cellular content, decreasing the adhesion of pathogenic spores and dust, protecting tissues from ultraviolet radiation, and mediation of their interaction with the surrounding environment (Van Maarseveen et al. 2009). The cuticle contains a continuous extracellular membrane that is made of biopolymers. These polymers cover the primary above-ground organs such as the flowers, leaves, stems and fruit of all land plants (Koch and Ensikat 2008). A mixture of hydrophobic compounds is integrated and superimposed on the cuticles, which is composed of various waxes (Jetter et al. 2000; Barthlott et al. 1998).
Plant waxes that are embed ded within the cutin network are called “intracuticular waxes”, whereas “epicuticular waxes” are located on the outer su rface of the cuticle (Barthlott and Neinhuis 1997; Barthlott et al. 1998; Buschhaus et al. 2007; Buschhaus and Jetter 2011; Ensikat et al. 2011; Koch et al. 2009). Cutin is a comprised of a polymer of predominantly ω- and mid-chain hydroxyl and epoxy C16 and C18 fatty acids in addition to glycerol (Samuels et al. 2008). The epicuticular waxes are organised within themselves to form three-dimensional crystals with highly variable morphologies, e.g., nano/micro projections, platelets, rods and tubules (Barthlott et al. 1998; Koch et al. 2006). Some examples of plants with superhydrophobic surfaces are pre sented in Fig. 2.3.
Both India canna leaves and purple Setcreasea are covered by many wax platelets, distributed randomly on a series of rod-like structures. This increases the proportion of air that can be trapped within the surface, producing water contact angles in excess of the 150° contact angle condition for superhydrophobicity (i.e. 165°). In the case of ramee leaves (Fig. 2.3d), the rear face is covered by a randomly distributed fiber-like structure which forms the layers of a web. This also allows for large amounts of entrapped air to be present on the surface, causing the surface to exhibit a large WCA (164°). The front of ramee leaves are significantly different in nature. They are composed of a web of micro-fibers, with many larger micrometer-size spheres without any further nanoscale-structure, and the sur face exhibits a WCA of 38° (Guo and Liu 2007).
There are many more le af surfaces that possess similar properties. Up to 200 water repellent plant species have been screened to measure their WCA and the majority were reported to possess superhydrophobic properties (Neinhuis and Barthlott 1997). The common feature shared by these surfaces is that each of them possessed a very dense layer of three-dimensional cuticular wax crystals arranged randomly or uniformly on their corresponding micro-scale surface features (e.g. papillae). This hierarchical structure enables the plant surfaces to remain clean, and therefore resistant against a wide range of contaminants. Many attempts have been made to understand how the lipids self-assemble into such useful and systematic structures, and while no clear understanding has yet been obtained regarding this process, it has been postulated that the cutin network may act as a template in controlling the orientation of the wax crystals (Jeffree 2006).
2.3.3 Insect Cuticle
Insects first ev olved the ability to fly at least 400 million years ago, and were the first organisms to develop powered flight; taking to the skies at least 90 million years prior to the earliest winged vertebrates (Grimaldi and Engel 2005). Nowadays they represent half of all eukaryotic species on earth. Insect wings are composed of lightweight building materials of thicknesses ranging from 0.5 μm to about 1 mm (Wan et al. 2008; Wootton 1992). In order to adapt to ever-changing environments, insects have evolved to possess geometric, non-smooth structures on their wing surface (Fig. 2.4) (Arsene et al. 2002; Boeve et al. 2011; Nelson and Charlet 2003). The presence of a thin superficial layer of waxes in the epicuticle was first reported by Ramsay in 1935 (Ramsay 1935).
As is the case with plant leaves, insec t surfaces are covered by a layer of cuticle, which is the barrier that directly interacts with the environment. Their terminology might be different, but in principle they are very similar in construction. The insect cuticle is secreted by a single layer of epidermal cells, forming a lipophilic structure that consists of two major sublayers, which are the epicuticle and the intracuticle (Lockey 1980, 1985; Nelson and Blomquist 1995; Buckner 2010; Jetter and Kunst 2008). The intracuticular layer, located beneath the epicuticle, is a mixture of chitin (poly-N-acetylglucosamine) and protein (Lockey 1980, 1985, 1988). The epicuticle is located in the outermost layer and is com posed of a mixture of aliphatic hydrocarbons and their derivatives; these compounds contain one or more oxygenated functional groups including esters, ketones, alcohols, aldehydes and fatty acids (Samuels et al. 2008; Koch and Ensikat 2008). This mixture of organic components is self-organized in the epicuticular layer of the cuticle, a highly-ordered, rough structure, composed of numerous micro- and nanometer-scale features. For some insects, e.g. dragonflies, the epicuticular waxes self-assemble into a three-dimensional layer of “nanopillars”, which enable air to be trapped in the spaces between and hence exhibit a high WCA (Ivanova et al. 2013b; Nguyen et al. 2013). Insect wing membranes are composed of lightweight building materials with a thickness ranging from 0.5 μm to approximately 1 mm (Wootton 1992). Their wings are framed by a system of veins that aid in stabilizing the wing as a whole (Kreuz et al. 2001; Gorb 1999; Moussian 2010). The highly-ordered, rough structure of the epicuticle enables insects to minimize their mass but still retain the ability to protect themselves from being wet by rain and coated with pollutants (Fig. 2.4).
A sy stematic terminology to describe the 2D and 3D micro- and nano-scale structures of the insect cuticle has not thus far been developed. Byun et al. used the terms ‘layered cuticle’, ‘setae’, ‘denticles’ and ‘fractal’ to describe the morpho logical features present on the surfaces of the insect wings, and this is the system that will be adopted here. The term ‘layered cuticle’ refers to a surface that contains scale-like structures that overlap, such as those typically found on butterfly wings. Surfaces with ‘setae’ contain high aspect ratio nanopillars or hairs. ‘Denticle’ structures refer to tooth-like projections, and these can vary greatly in their morphology, ranging from small hemispheres to taller nanopillars. ‘Fractal’ structures are composed of an irregular array of fine nanoscale protrusions (Byun et al. 2009). Among these structural types, the presence of layered cuticles, denticles and fractal structures result in the production of the most hydrophobic surfaces in a majority of cases, whilst the presence of setae alone on a surface usually produces a surface exhibiting hydrophilic properties (Table 2.1).
The superhydrophobicity of an insect wing surface, together with its ability to self-clean, are very important factors that contribute to an insect’s ability to survive. The nanoarray structures present on the surfaces of some insect wings such as those of the cicada and dragonfly afford the insect antireflective properties, which can assist in protecting them from predators (Watson et al. 2008). The superhydrophobic and self-cleaning properties can also assist in keeping their surfaces clean and free from contaminants that may also adversely impact their antireflective properties. The self-cleaning properties of these insect wings can be further enh anced due to the presence of turbulent conditions during their flight (Nishimoto and Bhushan 2013).
2.3.4 Superoleophobicity
Superhydrophobicity is the key for terrestrial organisms to deal with contaminants, however it is not a practical option for aquatic organisms, since their living conditions require constant contact with water. In order to cope with this differen ce in living conditions, nature has employed a different, but similar concept. The surfaces of these organisms are modified so that their surfaces remain wet but unable to be wet by oils, the main source of contaminants, particularly with modern types of marine pollution. Several aquatic species exhibit superoleophobicity rather than superhydrophobicity, exhibiting oil contact angles (OCA) greater than 150° when submerged in water. These organisms possess hierarchical surface structures that are self-cleaning, antifouling and promote low-drag conditions when moving through water (Bixler and Bhushan 2013).
For example, dolphin (Fish and Hui 1991), whale (Baum et al. 2002) and shark skin is known to reduce drag and improve fouling resistance. The skin of bottlenose dolphins Tursiops truncatus and the k iller whale Orcinus orca are covered by dermal ridges positioned such that they are transverse to the direction of flow (Ridgway and Carder 1993; Fish 2006). Another whale, Globicephala melas has enclosed nanopores on their patterned ridges, which exhibit great antifouling ability (Baum et al. 2002). Shark skin is covered by dermal denticles shaped like small ribs (or ‘riblets’). The denticles are oriented so that they align with the direction of fluid flow as the shark swims through the water. The low drag riblet microstructure, together with a mucous layer on the surface, allows the shark to remain flexible and clean (Bushnell and Moore 1991; Bechert et al. 1997; Dean and Bhushan 2010). This surface structure also provides protection from abrasion, which in turn minimises the opportunities for microorganisms to adhere (Bhushan 2012). Fish scales are another example of self-cleaning surfaces in aquatic environments (Hay 1996). They perform in a manner that is very similar to the shark skin. Their surfaces are covered by sector-like scales (diameter of 4–5 mm), which are covered by papillae (100–300 μm in length and 30–40 μm in width), and exhibit a particularly high oil contact angle in water (163°).
The surface structures of snail shells have been commercially exploited in the construction of snail shell-inspired self-cleaning surfaces for outdoor walls (Nishimoto and Bhushan 2013). These surfaces exhibit the ability to remai n clean, despite their dwelling environment and their appearance on rainy days. The surface of snail shells is comprised of a regularly rough structure consisting of line grooves (pitch of 0.5 mm), smaller grooves crossing the line groove (pitch of 0.1 mm) and micro-grooves between the line grooves (pitch of 10 μm). The surface of snail shells is covered by a regular hierarchical structure that ranges in size from micrometers to millimeters, which may facilitate water entrapment. Compared to superhydrophobic surfaces, which entrap air within their hierarchical structure, superoleophobic surfaces trap water molecules. This water-entrapment system helps the shells remain wet, yet remain clean under their semi-aquatic living conditions. This is a key factor that contributes to their ability to self-clean, in the way that their usually wetted surface is rarely able to be contamin ated (Nishimoto and Bhushan 2013).
2.4 Mechanobactericidal Activity
The inspiration that can be obtained from insects appears to be almost unlimited. Ivanova et al. recently found that the robust hexagonal arrays of ‘nanopillars’ on the surfaces of Psaltoda claripennis cicada wings are bactericidal (Ivanova et al. 2012). This nanopattern present on the wing surfaces penetrated attaching Pseudomonas aeruginosa cells, killing them with extreme efficiency (Fig. 2.5a, a1). The surface of the cicada wings retained its lethality against these G ram negative pathogenic bacteria even after the surface was coated with a 10 nm-thick layer of gold, which indicated that the bactericidal properties of the cicada wing surfaces arose from the physical properties of the wing surfaces, rather than from their chemical composition. It was also reported that the wings consistently killed other Gram-negative bacteria, i.e., Branhamella catarrhalis, E. coli, and Pseudomonas fluorescens, however Gram-positive cells (Bacillus subtilis, Planococcus maritimus, and Staphylococcus aureus) were found to be resistant to the action of the wing surface (Hasan et al. 2012). Cicada wings were the first example of a surface with bactericidal properties that arose as a result of purely physical action.
To explain this phenomenon, biophysical models were constructed to describe the interaction taking place between the bacterial cells and the nanopatterns present on the surface of the cicada wings (Pogodin et al. 2013). Mathematical calculations revealed that the nanopillars did not pierce the cells but rather the cells were stretched in the regions between the nanopillars as they adsorbed onto the wing surface, until the point of cell rupture. It was also found that the more rigid the cell membrane, the harder they were to break, which was consistent with the results obtained for the Gram-positive bacteria that attached to the wing surface, but were not killed by the action of the nanopillars; the thicker layer of peptidoglycan present in the cell wall afforded the cells a greater dgree of rigidity, making them resistant to the action of the wing nanopillars. This was supported experimentally by decreasing the rigidity of Gram-positive cells though microwave treatment. B. subtilis, S. aureus, and Planococcus maritimus were used as bacterial species. After microwave treatment, all three bacterial species showed a high level of susceptibility to the action of the cicada wing surfaces.
In contrast to cicada wings, which only showed effectiveness against Gram negative bacteria, the surfaces of dragonfly wings were shown to have the ability to kill a large range of bacterial species, including Gram-negative (Pseudomonas aeruginosa), and Gram-positive, (Staphylococcus aureus and Bacillus subtilis) bacteria and even endospores. Similar to cicada wings, dragonfly wings surfaces are covered by a layer of nanopillar-like structures, which punctured all types of bacterial cells that came into contact with the surface, as demonstrated in Fig. 2.5, b1–3. A synthetic material known as black silicon that mimics the surface structure of these dragonfly wings also demonstrated antibacterial properties against these different types of bacterial cells (Ivanova et al. 2013a). The discovery of the bactericidal properties possessed by th ese insect wings has brought them into focus as promising new prospects as templates for the production of synthetic biocidal surfaces.
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Nguyen, S.H., Webb, H.K., Crawford, R.J., Ivanova, E.P. (2015). Natural Antibacterial Surfaces. In: Ivanova, E., Crawford, R. (eds) Antibacterial Surfaces. Springer, Cham. https://doi.org/10.1007/978-3-319-18594-1_2
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