news & views to this approach is the need to use a rigid substrate that can withstand the high-temperature growth (>600 °C) of the graphene film. As a result, the microelectronics industry, which seeks the application of highly crystalline and continuous graphene for siliconbased integrated devices, will benefit the most. The elimination of the fishing step means that the whole fabrication process, from the growth of graphene to its deposition on an insulating substrate, can be automated and scaled. The nitrogen species implantation step uses readily available microelectronics equipment and has the added advantage of reducing the etching time of the catalytic growth

substrate. Notably, the resulting graphene films are uniform and unaffected by this nitrogen plasma pretreatment. By replacing the SiO2–Si substrate with a transparent material such as quartz or sapphire, the use of graphene as a transparent conductor can also be achieved. Substrates that lattice match with graphene such as hexagonal boron nitride or transitionmetal chalcogenides may potentially be used to give higher-performance integrated electronics. The potential for plant-scale production created by this face-to-face transfer may mean that commercial products containing highquality transferred graphene can soon be realized. ❐

Jaime A. Torres and Richard B. Kaner are in the Department of Chemistry & Biochemistry and Department of Materials Science & Engineering, University of California, Los Angeles, California 90095-1569, USA. e-mail: [email protected]; [email protected] References 1. Geim, A. K. & Novoselov, K. S. Nature Mater. 6, 183–191 (2007). 2. Lee, G-H. et al. Science 340, 1073–1076 (2013). 3. Seol, J. H. et al. Science 328, 213–216 (2010). 4. Gao, L. et al. Nature 505, 190–194 (2014). 5. Li, X. S. et al. J. Am. Chem. Soc. 133, 2816–2819 (2011). 6. Wassei, J. K. & Kaner, R. B. Acc. Chem. Res. 46, 2244–2253 (2013). 7. Li, X. et al. Science 324, 1312–1314 (2009). 8. Zhou, H. et al. Nature Commun. 4, 2096 (2013). 9. Reddy, A. L. M. et al. ACS Nano 4, 6337–6342 (2010). 10. Levendorf, M. P. et al. Nature 488, 627–632 (2012). 11. Federle, W., Barnes, W. J. P., Baumgartner, W., Drechsler, P. & Smith, J. M. J. R. Soc. Interface 3, 689–697 (2006).

BIOINSPIRED MATERIALS

Boosting plant biology

Chloroplasts with extended photosynthetic activity beyond the visible absorption spectrum, and living leaves that perform non-biological functions, are made possible by localizing nanoparticles within plant organelles.

Gregory D. Scholes and Edward H. Sargent

T

he photosynthetic machinery is utterly ingenious. It uses the antenna effect, wherein many high-cross-section light absorbers — molecules, such as chlorophyll, that are embedded in the protein complexes that make up the photosynthetic unit of plants — funnel their energy (transiently captured as photoexcitations) into a much smaller number of reaction centres, the protein complexes that initiate a chain of reactions to convert the photoexcitations into chemical energy. Across the Earth, absorbed sunlight powers biochemical processes that produce a staggering 100 billion tons of biomass annually. Human-engineered analogues of photosynthetic systems include dye-sensitized solar cells1 and energygradient devices2. However, aspects of the photosynthetic system, such as the spectral cross-section for light harvesting, could be optimized further. Michael Strano and colleagues now report in Nature Materials that the localization of nanoparticles within plant chloroplasts aids photosynthesis through the broadening of the spectral capture of light and the scavenging of radical oxygen species3. Furthermore, the researchers report the first steps of what they term plant nanobionics: the enhancement of plant functions

through the combination of biology and nanotechnology. They also showed that living plant leaves can be embedded with nanoparticle-based sensors to monitor nitric oxide in real time. Strano and collaborators first showed that two nanoscale systems, singlewalled carbon nanotubes (SWNTs) and ceria nanoparticles, can traverse and localize within the lipid envelope of plant chloroplasts. SWNTs and ceria are attractive choices, as they have the potential to couple to the photosynthetic system­. In particular, ceria is a well-known quencher of reactive oxygen species that may be produced by rogue photoexcitations, and SWNTs offer a broadband spectral capture, absorbing photons of energies lower than those typically absorbed by plants. Moreover, SWNTs can transport electronic excitations across extraordinary distances4. In fact, Strano and co-authors report that SWNTs show photoluminescence at longer wavelengths (785 nm) than natural photosynthetic reaction centres (chlorophyll excitation occurs at 700 nm). To demonstrate augmented photosynthesis in a much broader spectral bandwidth, however, further improvements to the SWNT–chlorophyll (or more generally nanoparticle–chlorophyll) hybrid system would be required. For instance, the

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reaction centre could be modified so that it can capture and process near-infrared excitations. Interestingly, the authors suggest a further possible element of sensitization within the photosynthetic apparatus by proposing that SWNTs may introduce electrons into the photosynthetic reactions. Structurally, the photosynthetic machinery is located in the thylakoid membranes within chloroplasts (Fig. 1). However, in some photosynthetic organisms, additional light-harvesting complexes dock on the stromal side of the membrane (in the case of cyanobacteria and red algae) or locate in the lumen (cryptophyte algae)4. Strano and colleagues show that SWNTs and nanoceria pass through the outer membranes of the chloroplast and locate in the stroma, and that, remarkably, both nanoparticles influence photosynthetic performance. It would be interesting to investigate the possibility to introduce nanoscale systems that sit in selected positions across the chloroplast system, thus potentially adding spatial localization to the new or augmented functionalities arising from the coupling of the nanoparticles to the biological components. This is particularly critical in the case of SWNTs, as their role in augmenting plant 329

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Outer membrane Inner membrane Stroma

Granum 1.5 µm

Stroma

Thylakoid membrane Thylakoid lumen

Nanoparticles

100 nm

Figure 1 | Natural and nanobionic chloroplasts. The photosynthetic apparatus is mostly embedded in the thylakoid membranes of chloroplasts. Flattened thylakoids are stacked into grana, as shown by a micrograph of the cryptophyte alga Proteomonas sulcata (top right). Strano and colleagues show that the nanoparticles localize in both the thylakoid membrane and the stroma (bottom left schematic; green and blue arrows, respectively, in the bottom right micrograph3). Schematic and top right image courtesy of T. Mirkovic, Univ. Toronto.

functionalities is strongly dependent on achieving a well-defined coupling with the photosystems. Ceria nanoparticles, however, require less precise positioning relative to the thylakoid membrane because their role is to prevent damage to the photosystems by quenching reactive oxygen species that are widely dispersed throughout the chloroplast. Biology offers powerful tools that might be harnessed to control the precise positioning of nanoparticles within photosynthetic systems and probe their interaction with the photosynthetic apparatus. For example, proteins employ targeting sequences stitched onto their ends that help them home in on specific membranes. This is exemplified by phycobiliproteins in photosynthetic cryptophyte light-harvesting complexes5: the nuclear-encoded α-subunit phycobiliprotein must be transported into the chloroplast where it meets its chloroplast-encoded partner, the β-subunit; then they assemble with light-absorbing chromophores before being transported across the thylakoid membrane into the lumen6. The combination of biological functionalization and targeting strategies with functional artificial nanomaterials may one day allow researchers to emulate the precise assembly, transport and positioning of biological components. Bionics and bioinspiration may thus hold promise for boosting energy 330

harvesting. In contrast to most engineered systems, natural systems such as plants and algae exhibit powerful advantages, such as their capacity to self-propagate, self-repair and self-protect. Hence, there are opportunities for synergy between biology and technology. For instance, solar-energy solutions have drawn insights from natural systems7,8. Still, in the energy-conversion process, natural systems are compellingly efficient despite lacking long-range crystalline order and extreme compositional purity. Moreover, the natural biological machinery operates in an environment that includes oxygen, water and fluctuations in environmental variables, such as temperature and illumination. Such a ‘warm, wet and noisy’ environment — as Schrödinger would describe it 9 — is challenging from an engineering perspective. Energy-harvesting technology thus stands to gain a great deal from designs that learn from and mimic relevant natural processes. Yet natural energy-harvesting systems also stand to be improved. Evolution may have naturally selected biological systems for certain optimal properties, but this does not mean that they possess a high overall efficiency of capturing energy and storing it for later use10. For example, light harvesting on the femtosecond timescale is tightly interconnected with the biochemical production of sugars and their export from the chloroplast. Also, most

photosynthetic activity is highly attenuated on a sunny day by a protective process called nonphotochemical quenching. Therefore, substantial gains may be readily possible by optimizing rate-limiting steps or bottlenecks. For example, photosynthetic production under high solar irradiance can be boosted if sugars are exported from the leaf more effectively by increasing the size of the transport pipes (the phloem)11. Because photosynthesis in such rampedup photosynthetic systems may also boost photodegradative pathways, the nanoparticle-based approach of Strano and collaborators may prove useful. Indeed, additives such as ceria nanoparticles could scavenge reactive oxide species and thereby extend the lifetime of photosynthetic activity, especially in ex vivo systems that do not benefit from the inbuilt self-repair mechanisms of plants. Clearly, opportunities abound for understanding mechanisms and limitations of natural photosynthetic systems, and for discovering unique and inspiring solutions to light-harvesting problems. However, the path towards bionic systems will be a complex one to walk because of the combination of the exquisite optimization of natural systems with their baffling bottlenecks12. Still, we can learn from highly optimized systems such as carbonfixing enzymes (such as RuBisCO) to try to reduce carbon dioxide efficiently 13, and also elucidate upgrades to functional elements in the enzyme so as to be able to capture carbon dioxide selectively and more efficiently in the enzyme’s active site14. Energy harvesting — based on natural biological platforms or engineered ones — requires urgent breakthroughs. Humanity is bound to increase power consumption from the present 15 TW to 30 TW by 205015. Eighty-five per cent of the present 15 TW of demand is met by burning fossil fuels. To decelerate climate change while doubling energy production is thus a tall order. As we seek to make more effective use of free, clean and abundant sunlight, nature’s abundant, robust and distributed solar harvesters merit ever-deepened study, and some of their most efficient elements deserve emulation. Bioinspired engineering for energy harvesting will find many opportunities to discover, emulate, improve and engage the exquisite, yet sometimes bizarre, products of 3.5 billion years of evolution. ❐ Gregory D. Scholes is at the Department of Chemistry, University of Toronto, 80 St George Street, Toronto, Ontario M5S 3H6, Canada. Edward H. Sargent is at the Department of Electrical and Computer Engineering, University of Toronto, 10 King’s College

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news & views Road, Toronto, Ontario M5S 3G4, Canada. e-mail: [email protected]; [email protected] References 1. Graetzel, M., Janssen, R. A. J., Mitzi, D. B. & Sargent, E. H. Nature 488, 304–312 (2012). 2. Kramer, I. J., Levina, L., Debnath, R., Zhitomirsky, D. & Sargent, E. H. Nano Lett. 11, 3701–3706 (2011). 3. Giraldo, J. P. et al. Nature Mater. 13, 400–408 (2014).

4. Anderson, M. D., Xiao, Y-F. & Fraser, J. M. Phys. Rev. B 88, 045420 (2013). 5. Green, B. R. & Parson, W. W. (eds) Light-Harvesting Antennas in Photosynthesis (Kluwer, 2003). 6. Wastl, J. & Maier, U. G. J. Biol. Chem. 275, 23194–23198 (2000). 7. Scholes, G. D., Mirkovic, T., Turner, D. B., Fassioli, F. & Buchleitner, A. Energ. Environ. Sci. 5, 9374–9393 (2012). 8. Scholes, G. D., Fleming, G. R., Olaya-Castro, A. & van Grondelle, R. Nature Chem. 3, 763–774 (2011). 9. Jumper, C. C. & Scholes, G. D. Phys. Life Rev. 11, 85–86 (2014).

10. Blankenship, R. E. et al. Science 332, 805–809 (2011). 11. Adams, W. W., Cohu, C. M., Muller, O. & Demmig-Adams, B. Front. Plant Sci. 4, 194 (2013). 12. Rutherford, A. W., Osyczka, A. & Rappaport, F. FEBS Lett. 586, 603–616 (2012). 13. Armstrong, F. A. & Hirst, J. Proc. Natl Acad. Sci. USA 108, 14049–14054 (2011). 14. Tcherkez, G. G. B., Farquhar, G. D. & Andrews, T. J. Proc. Natl Acad. Sci. USA 103, 7246–7251 (2006). 15. Barber, J. Chem. Soc. Rev. 38, 185–196 (2009).

CELL MIGRATION

Electrifying movement

Electric fields prompt epithelial cell populations to make coordinated movements such as U-turns.

Nir Gov

L

iving cells, both eukaryote and prokaryote, undergo motion in response to weak electric fields1. Writing in Nature Materials, Daniel Cohen and colleagues now report that this process, called galvanotaxis, can be used to control the collective migration of cells on a flat substrate2. Unlike other forms of external perturbation that have been used to control and direct cellular migration, such as chemotaxis and shear flow, the use of electric fields allows cells to be perturbed on much faster timescales. Using lithography to design the shape of the electrodes and the geometric constraints of the cellular layer, the approach of Cohen and colleagues allows for the exploration of cellular dynamics with very complex spatiotemporal regulation. This technique therefore opens up a whole new realm in the exploration of collective cellular migration, a poorly understood phenomenon that is considered to be one of the ten greatest unsolved problems in cell biology 3. Although the discovery that cells orient and migrate in response to a direct current electric field dates to the late-nineteenth century 1, the precise mechanism driving galvanotaxis is still not well understood. What is known is that the electric current is the crucial driving cue, and that it induces a cellular response that enlists the same downstream motility pathways as in chemotaxis and general cell motility 4–6. The relevance of this effect for cellular dynamics in vivo is also not understood, yet there are indications that it can play a role during wound healing, morphogenesis and regeneration7–9. Cohen and co-authors provide several examples that demonstrate the strengths of the galvanotactic approach. By oscillating an applied electric field at various frequencies

and following the dynamics of the whole cellular layer as its direction of migration oscillates, they found that galvanotactic changes are associated with a break-up of the ordered collective migration of the layer into local patches that carry out U-turn rotations (Fig. 1). The size of these patches is of the order of ~5–10 cell lengths (~80–150 μm), which is reminiscent of the inherent velocity correlation lengths found in other studies10,11. In fact, each rotating patch resembles a local vortex in the cellular velocity field. From the electric field oscillations, the authors were able to measure the time that it takes for the collective motion of the layer to set in, that a

Electric field

b

Electric field

c

Electric field

is, for all the patches to merge into a single coherent migration flow. This is found to be of the order of ~10–30 min, which is the time it takes for cellular orientational ordering to propagate across the length of the rotating patches. Therefore, it is expected to be of the order of the ratio between the size of each rotating patch and the speed with which orientational ordering has been found to propagate in a wave-like manner inside a two-dimensional cellular layer 12, which is approximately 1–10 μm min−1. This is indeed the case. In collective cellular migration, it is known that leader cells13 that form at the leading edge of the moving mass of cells play

Figure 1 | Collective cell migration under the influence of an external electric field2. a, At a steady state, a direct current field induces collective coherent motion in a confluent cellular layer. b, On rapid switching of the field direction, the cells undergo collective rotations, carrying out coordinated U-turns over patches that are several cells big in size (dashed circles and boxed regions). c, After a relaxation time of about 10 min, the coherent collective migration state resumes along the new direction of the applied field. Left, schematics; right, micrographs. Width of micrographs, 600 μm.

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Bioinspired materials: Boosting plant biology.

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