Enyi
Ye
a,
Michelle D.
Regulacio
a,
Madurai S.
Bharathi
b,
Hui
Pan
b,
Ming
Lin
a,
Michel
Bosman
a,
Khin Yin
Win
a,
Hariharaputran
Ramanarayan
b,
Shuang-Yuan
Zhang
a,
Xian Jun
Loh
a,
Yong-Wei
Zhang
*b and
Ming-Yong
Han
*a
aInstitute of Materials Research and Engineering, A*STAR, 2 Fusionopolis Way, Innovis, 138634, Singapore. E-mail: my-han@imre.a-star.edu.sg
bInstitute of High Performance Computing, A*STAR, 1 Fusionopolis Way, 138632, Singapore. E-mail: zhangyw@ihpc.a-star.edu.sg
First published on 23rd November 2015
In this work, copper (Cu) species were used as reducing reagents in the colloidal preparation of novel cross-shaped gold (Au) nanostructures in oleylamine. The reduction rate can be controlled through an appropriate choice of Cu species to obtain Au nanocrosses of varying sizes. It was found that the presence of Cu species during the nucleation stage is crucial to the formation of a branched morphology. Further analysis revealed that the four primary branches of the Au nanocrosses grow along the <110> and <001> directions, and that secondary branched growth occurs along the <111> direction. First-principles calculations and phase-field models were used to rationalize the observed preferential branching and understand the morphological evolution of the nanocrosses. These unique cross-like Au nanostructures exhibit strong NIR absorption and remarkable plasmonic properties that make them promising materials for optical and biomedical applications.
Our group was the first to report on the colloidal synthesis of branched Au nanostructures with a unique cross-like morphology (i.e., Au nanocrosses), which have attracted considerable attention in the last few years owing to their remarkable optical and plasmonic properties.21,22 Because of their huge potential in a range of optical and biomedical applications, we find it important to explore new synthetic routes to Au nanocrosses and investigate the formation and growth mechanisms of these anisotropically branched nanostructures. In this paper, we present vital information on the basis of both experimental results and theoretical calculations, which have provided us with a profound understanding of the morphological evolution of Au nanocrosses. Experimentally, highly crystalline Au nanocrosses were prepared in solution with the cooperative use of oleylamine and copper-based reducing agents. The reduction rate can be controlled through an appropriate choice of copper (Cu) species to obtain Au nanocrosses of varying sizes. The Au nanocrosses possess four primary branches that extend along the <110> and <001> directions, as well as secondary branches that grow along the <111> direction. The primary branching behavior was rationalized by first-principles simulations through studying the influence of Cu incorporation and oleylamine adsorption on different Au surfaces. Meanwhile, phase-field models were established to understand not only the primary branching but also the secondary branching observed. The Au nanocrosses were found to display intense photon absorption in the near-infrared region (NIR) that is tunable with size. Their strong NIR absorption allows their use in biomedical applications, where the use of NIR light is beneficial to achieve deeper penetration into tissues. Moreover, quantification of their precise optical response revealed high plasmon quality factors, indicating the suitability of these novel cross-shaped Au nanostructures for optical-related applications.
A schematic depiction of our synthetic protocol is displayed in Fig. 1A and we refer to this procedure as Method 1. First, a mixture of CuCl and oleylamine was heated to 100 °C, at which a pale yellow solution was observed due to the formation of a Cu+–oleylamine complex. When further heated at 200 °C for 10 min, the color of the reaction mixture turned reddish brown, which is indicative of the formation of Cu nanostructures. The presence of Cu nanostructures at this stage of the reaction is confirmed by the X-ray diffraction (XRD) pattern shown in Fig. S1 (in the ESI†), where the diffraction signals seen at 2θ = 43.5°, 50.7°, and 74.4° can be indexed to the (111), (200) and (220) crystal planes of face-centered cubic Cu (JCPDS #03-1018). The transmission electron microscopy (TEM) image in Fig. 1B reveals that the resulting Cu nanostructures exist in a variety of shapes (i.e., wires, rods, cubes etc.). In our previous work on colloidal Cu nanostructures, we have found that heating the Cu+–oleylamine complex at 200 °C for a sufficient length of time (i.e., ≥30 min) results in disproportionation of Cu+ (2Cu+ → Cu0 + Cu2+) to produce high-quality Cu nanowires.33 Because our present procedure involves heating at 200 °C for only 10 min, a fraction of Cu+ remained undisproportionated, and this accounts for the smaller Cu nanostructures that are observed along with the expected nanowires. The reaction mixture, which at this point consists of three different Cu species (i.e., Cu nanostructures, Cu2+ and Cu+) due to partial disproportionation of Cu+, was then allowed to cool to 50 °C. After cooling, an oleylamine solution of AuCl3 was added and the resulting mixture was incubated at 50 °C for 1 h. During this period, the reddish brown mixture turned blue, which denotes the consumption of Cu nanostructures and the generation of more Cu2+. From the potentials of half-cells, Cu0 − e− → Cu+, ϕ = −0.521 V and Cu0 − 2e− → Cu2+, ϕ = −0.337 V, one can see that Cu0 can easily reduce Au3+ to Au0 (Au3+ + 3e− → Au0, ϕ = 1.498 V) to form Cu+ and Cu2+. Furthermore, it is also possible for Cu+ to reduce Au3+ to Au0, considering the potential of the half-cell, Cu+ − e− → Cu2+, ϕ = −0.153 V. Thus, Au3+ was reduced by both the Cu nanostructures and Cu+ to produce the initial Au seeds and Cu2+. This was followed by centrifugation to remove any unreacted Cu nanostructures. The blue supernatant was then heated to 100 °C for 30 min to allow for growth of the Au seeds. Finally, a dark brown mixture that contains the oleylamine-capped Au nanocrosses was obtained.
Fig. 1C shows a low-magnification TEM image of the as-obtained Au nanocrosses. The four-branched cross-like structure is clearly seen in the TEM images of individual nanocrosses in Fig. 1D and E. Two typical morphologies are observed, one with the D2h symmetry (Fig. 1D and S2A in the ESI†) and the other with the C2v symmetry (Fig. 1E and S2B in the ESI†). Analysis of their high-resolution TEM (HRTEM) images reveals that the nanocrosses have either single or double twins in their centers (Fig. S2 in the ESI†). In the case of the singly-twinned nanocross, the lattice direction changes after the twin boundary. For the doubly-twinned nanocross, the lattice direction remains the same before and after the twin boundaries. Further analysis indicates that the Au nanocrosses possess two longer branches that extend along the <110> direction and two shorter branches that extend along the <001> direction (depicted in Fig. 1D and E). The XRD pattern in the inset of Fig. S2B (in the ESI†) shows diffraction peaks that can be indexed according to the standard diffraction pattern of face-centered cubic Au (JCPDS #04-0784). While not very evident in the XRD pattern, ICP measurement revealed that there is a small percentage of Cu (∼0.5 mol%) in the as-synthesized Au nanocrosses.
To confirm that both Cu and Cu+ are able to reduce the Au precursor to produce Au nanocrosses, we tried using these Cu species independently. Fig. 2A shows a schematic representation of the procedure used when only Cu nanostructures are employed as reducing agents, which we will refer to as Method 2. In this case, the Cu+–oleylamine complex was heated at 200 °C for a longer time (30 min) to ensure complete disproportionation of Cu+ to Cu and Cu2+. As shown in the TEM image in Fig. 2B, the complete disproportionation of Cu+ in oleylamine yielded highly monodisperse Cu nanowires. These Cu nanowires were isolated through centrifugation, purified and re-dispersed in an oleylamine solution containing AuCl3. The reddish brown mixture was then heated to 50 °C, and was incubated at this temperature for 1 h. At this stage, Au3+ was reduced gradually on the surface of the Cu nanowires to form small anisotropic Au seeds together with Cu2+. The generation of Cu2+ was indicated by the change of the solution color to blue. It is worth noting that the color transition from reddish brown to blue occurred at a slower rate than when Method 1 was used, suggesting that the reduction of Au3+ is faster when Cu+ is also present as a reductant. The as-reacted Cu nanowires and the newly formed Au seeds are seen in the TEM image displayed in Fig. 2C. It can be observed from this figure that the diameter of the Cu nanowires was greatly decreased as it gets oxidized to Cu2+. After centrifugation to remove the remaining Cu nanowires, the anisotropic Au seeds (Fig. 2D) remained in the supernatant, which was further heated at 100 °C to allow for seeded growth. The Au seeds grew bigger and started their branched growth after heating for 10 min at 100 °C (Fig. S3 in the ESI†). Au nanocrosses (Fig. 2E) were eventually observed when the reaction was allowed to proceed for another 20 min. These results indicate that Cu nanostructures alone can reduce Au3+ to Au in the presence of oleylamine to generate Au nanocrosses. Interestingly, the Au nanocrosses obtained with this method are larger than those produced when a combination of Cu nanostructures and Cu+ was employed as the reductant (Method 1).
Fig. 3A shows a schematic illustration of the procedure employed when Cu+ is used as the sole reducing agent (i.e., Method 3). CuCl was first heated in oleylamine at 100 °C to form the Cu+–oleylamine complex. The next step differs from Methods 1 and 2 as the resulting pale yellow solution was not heated to 200 °C so as to avoid the disproportionation of Cu+. As discussed above, the disproportionation of Cu+ will generate Cu nanostructures, which we do not want to be present in the reaction mixture. Thus, instead of heating to 200 °C, the Cu+–oleylamine solution was allowed to cool to 50 °C. After cooling, an oleylamine solution of AuCl3 was added and the resulting mixture was incubated at 50 °C for 1 h. It was noted that shortly after the addition of AuCl3, the pale yellow solution immediately turned blue, which is in contrast with the gradual change in color that was observed when Methods 1 and 2 were employed. This tells us that Cu+ was able to reduce Au3+ more quickly than Cu nanostructures to yield Au and Cu2+. The resulting mixture was then heated to 100 °C for 30 min to allow for growth of the Au nanostructures. Fig. 3B shows the TEM images of the final product. As one can see, Au nanocrosses were also obtained through Method 3, where Cu+ was used solely as the reductant. However, as compared to the nanocrosses obtained through the first two methods, the nanocrosses produced by Method 3 are much smaller.
In terms of size, the Au nanocrosses produced using the three different synthetic protocols can be ranked as follows: Method 2 (350 ± 40 nm) > Method 1 (230 ± 25 nm) > Method 3 (100 ± 15 nm). The difference in size can be attributed to the difference in the observed reduction rate, which follows the order: Method 3 > Method 1 > Method 2. This means that the reduction of Au3+, and thus the nucleation of Au seeds, is fastest when Cu+ is used as the sole reductant (Method 3). Because both Cu+ and Au3+ are dissolved in oleylamine, the reduction reaction proceeds instantly upon mixing at 50 °C, and this leads to fast nucleation of a large number of Au seeds, which grow into small Au nanocrosses. On the other hand, when Cu nanostructures are used as reductants (Method 2), fewer Au seeds are formed as the reduction of Au3+ proceeds gradually on the surface of the Cu nanostructures, and this eventually gives larger Au nanocrosses. When both Cu+ and Cu nanostructures are present as reducing agents (Method 1), the reduction reaction proceeds at a faster rate than when only Cu nanostructures are used (Method 2), but more slowly than when Cu+ is used alone (Method 3). In this case, Au nanocrosses of an intermediate size are obtained. Thus, the appropriate choice of Cu species (Cu+, Cu nanostructures or their combination) can be used to manipulate the reduction rate and can lead to size-controllable synthesis of Au nanocrosses.
The absorption spectra of the branched Au nanostructures prepared using Methods 1–3 are shown in Fig. 4A. The localized surface plasmon resonance (LSPR) bands at both short (500–600 nm) and long (800–1200 nm) wavelengths, which are attributable to the unique cross-like morphology, can be clearly distinguished. The band at the visible range arises from the transverse dipolar resonance of the branches while the intense broad band at the NIR spectral window is attributed to the longitudinal resonance, similar to the longitudinal mode observed in Au nanorods. Due to the smaller size of the Au nanocrosses obtained using Method 3, the longitudinal resonance seen in the NIR region falls at a shorter wavelength compared with those observed for the larger nanocrosses obtained by Methods 1 and 2. This tells us that by simply changing the size of the Au nanocrosses, we are able to tune their NIR absorption. The strong NIR absorption displayed by these nanocrosses renders them useful in applications where the use of NIR light is necessary, such as in photothermal therapy and in biomedical imaging and detection.
To understand the shape–property relationship of these Au nanocrosses, we used the monochromated electron energy-loss (EELS) mapping technique that we have developed previously22 to visualize the spatial distribution of plasmon antinodes on the nanocross. Fig. 4B and C show the scanning TEM (STEM) dark field image of a representative Au nanocross, overlaid with monochromated energy-filtered TEM (EFTEM) maps of the plasmon modes arising from the cross. In STEM mode, by placing a 1 nm electron probe at locations 1–5 indicated in Fig. 4C, we successfully obtained the corresponding monochromated EELS spectra as shown in Fig. 4D. In comparison with the absorption spectra in Fig. 4A, the plasmon bands revealed by the EELS spectra are sharper; furthermore, even the dark mode (∼650 nm), which is invisible in the absorption measurement, can be mapped. With the sharp plasmon bands, the quality factors of each plasmon mode were calculated and the results are shown in the inset between Fig. 4B and C. The high quality factors (Q) strongly indicate that our cross-like Au nanostructures can be promising materials for optical-related applications, especially for those that require large local-field enhancements, such as in surface-enhanced Raman scattering (SERS).
The potential utility of Au nanocrosses in many important applications has led us to investigate their formation and growth mechanisms. ICP measurements showed that there is a small percentage of Cu (∼0.5 mol%) in the Au nanocrosses prepared using the three synthetic protocols described above. This tells us that Cu has been incorporated during the formation of the Au nanocrosses and is possibly involved in the generation of the cross-like morphology. Note that for Methods 1–3, Cu and/or Cu+ was able to reduce Au3+ at 50 °C. However, we find that when the Cu-based reductants are not present in the reaction mixture, Au3+ can also be reduced by oleylamine but only at temperatures ≥100 °C. Moreover, without Cu or Cu+, only unbranched Au nanostructures are produced, indicating that Cu incorporation is crucial to branching. Fig. S4 (in the ESI†) shows the TEM image of the 12 nm Au nanostructures that were obtained when AuCl3 was heated in oleylamine at 100 °C for 30 min in the absence of Cu species. These unbranched Au nanostructures seem nearly spherical but a closer look at their HRTEM image (inset of Fig. S4 in the ESI†) reveals that they actually exhibit a multiply-twinned decahedral structure. For fcc metals like Au, the formation of decahedral nanocrystals with multiple cyclic twins is not unusual particularly in small sizes.20,34 Previous studies have shown that these multiply-twinned nanocrystals can evolve into larger nanostructures with interesting morphologies.35,36 To further investigate the role of Cu species in the branched growth of Au nanocrosses, we have tried to synthesize Au nanocrosses through reduction of Au3+ by Cu+ in the presence of our pre-synthesized multiply-twinned decahedral Au seeds. The synthetic protocol, which can be described as a modified version of Method 3, is schematically depicted in Fig. 5A. In this seeded growth approach, the pre-synthesized multiply-twinned 12 nm Au seeds were added together with AuCl3 to the Cu+–oleylamine complex at 50 °C. The reaction mixture was incubated at this temperature for 1 h, and was then heated at 100 °C for 30 min to allow for nanocrystal growth. Instead of nanocrosses, the Au nanostructures obtained from this protocol are unbranched multiply-twinned polyhedra with the size ranging from 15 to 50 nm, as shown in the TEM image in Fig. 5B. This indicates that the Au atoms that were produced by the reduction of Au3+ by Cu+ are deposited onto the surface of the existing decahedral Au seeds, and this growth behavior leads to larger polyhedral Au nanostructures. Because branching was not observed, it is believed that Cu incorporation must occur during the nucleation of Au seeds to lead to branched architectures.
On the basis of the above experimental results, it can be concluded that apart from serving as reductants for Au3+, Cu species also play a role in the formation of cross-shaped Au nanostructures when present during the nucleation of Au seeds. The presence of Cu species during the nucleation stage initially produces anisotropic Cu-doped Au seeds, as illustrated in Fig. 2. Subsequently, the preferential anisotropic growth of these Cu-doped Au seeds along both <110> and <001> directions leads to Cu-incorporated Au nanocrosses (depicted in Fig. 1D and E and 6A). Note that the anisotropic growth along <110> and <001> corresponds to the preferred growth of 1D Cu nanostructures along <110> in the absence of Au and the preferred growth of 1D Au nanostructures along <001> in the absence of Cu, respectively. Thus, the preferential growth along these two directions could be seen as the driving force for the formation of the cross-like morphology. Also noteworthy is that the nanocrosses are observed to exhibit secondary branching along the <111> direction, as highlighted in Fig. 6A. The secondary branches are not seen during the early stage of growth (Fig. S3 in the ESI†) but become evident when the nanocrosses are grown for a longer time. Interestingly, the secondary branches grow perpendicular to the primary branches and are predominantly on the two longer branches. The primary and secondary branching seen in our Au nanocrosses was investigated through theoretical calculations, and the results are discussed below.
The preferential growth of Au nanocrosses observed here is expected to depend on the ways in which Cu atoms are incorporated onto the Au surfaces. This argument was further rationalized by first-principles simulations. First-principles calculations were performed to study the influence of Cu incorporation and oleylamine adsorption on the branched growth of Au nanocrosses by employing the density functional theory (DFT)23 and Perdew–Burke–Ernzerhof generalized gradient approximation (PBE-GGA)26 with the use of the projector augmented wave (PAW) scheme24,27 as incorporated in the Vienna ab initio simulation package (VASP).25
We first investigated the stability of the Au (001), (110) and (111) surfaces with and without surface deposition of Cu. Without the involvement of Cu, the calculated surface energies are 4.98, 8.87 and 10.51 eV nm−2 for the Au (111), (001) and (110) surfaces, respectively. Hence, the surface energy for the Au (111) surface is much lower than the energies for the Au (001) and (110) surfaces. This causes the dominant formation of the Au (111) surface to greatly lower the surface energy of Au nanostructures, which is consistent with the commonly observed growth of Au nanoparticles with the preferentially exposed (111) surfaces. With the involvement of Cu, the calculated substitution energies are −0.211, −0.255 and −0.256 eV for a Au atom replacing a Cu atom at the Au (001), (110) and (111) surfaces, respectively.28,29 The negative formation energies indicate that Cu atoms on the Au surface can be much easily replaced by Au atoms.26 Since the substitution energies for the Cu-deposited Au (111) and (110) are very close and much lower than that for the Cu-deposited Au (001), it is expected that the Au (111) and (110) surfaces would grow faster than the Au (001) surface.
The simulation supports that the involvement of Cu can facilitate the favored growth of Au (110), which grows slower for pure Au whose surface energy follows the order of Au (110) > (001) > (111). However, this is still in contrast to the experimental observation in the growth of the Au nanocrosses, whose growth rate for the Au surfaces follows a trend of Au (110) > (001) > (111). To resolve this difficulty, we hypothesize that the growth of Au (111) is hindered by the strong surface adsorption of oleylamine, leading to the anisotropic growth along <001> and <110> as observed experimentally. To prove this hypothesis, we further performed first-principles simulations to study the influence of surface-adsorbed ligands on the branched growth of Au nanocrosses. We investigated the stability of the adsorbate on the (001), (110), and (111) surfaces of Au. In our experiments, oleylamine with the formula C18H37N is used as the adsorbate on the Au surface, where the N atom of the amine has a lone electron pair that is bound to the Au surface via a long-distance interaction.37 A model molecule, NH3 was chosen to simplify the simulation of the binding energies. The calculated binding energies are −1.429, −0.868 and −0.797 eV for the Au (111), (001) and (110) surfaces, respectively. The negative binding energies of the adsorbate on the Au surfaces indicate that the molecule is stably adsorbed on these surfaces. It is seen that there is an increase in the binding energy with the surface from (111), (001) to (110), as a result, the stability of the system follows a trend of (111) > (001) > (110). Since the binding energies on the Au (001) and (110) surfaces are close, both the Au (110) and (001) surfaces are expected to grow more easily than the Au (111) surface. Hence, it can be said that the strong adsorption of oleylamine on the Au (111) surface hinders its growth. In addition, the calculated binding distance (Au–N) on the Au (111) surface is 2.133 Å, which is much shorter than that on the other two surfaces (2.183 Å for (001) and 2.228 Å for (110)), further supporting that the Au (111) surface is difficult to grow in the presence of oleylamine. Finally, since the binding energy for Au (110) is lower than that for Au (001), the nanocrosses grow longer along <110> than <001>, as observed experimentally.
In addition to first-principles simulations, we have also established phase-field models for simulating the branched growth of Au nanocrosses. Gold nanostructures with fascinating morphologies have been of great interest in recent years,38 and the formation and evolution of such nanostructures are often studied using diffusion-limited aggregation (DLA) and cluster–cluster aggregation (CCA) models.39–41 It is commonly believed that these various nanostructures are formed by the competition between the growth rate and the diffusion rate. Since the mass transport at moving interfaces controls these nanostructures, it is important to track the evolution dynamics of the interfaces. The phase-field method is an efficient tool in describing the interface evolution in complex morphologies wherein a diffused interface is defined using order parameters such as composition, density and orientation fields. In the present work, we use the phase-field model formulated by Karma and Plapp30 to simulate the kinetics of the growth of the Au nanocrosses. In this model, the evolution equations are written in terms of the order parameter ξ and the concentration field c. The order parameter ξ = 0 refers to the growth medium while ξ = 1 refers to the Au nanostructure. The concentration field c is defined in terms of the concentration of the Au atoms g in the solution as c = Ω(g − geq), where Ω is the surface area of the Au nanostructure and geq is the equilibrium concentration of the Au adatoms on the surface. The evolution equations for ξ and c are
Here K2(∇ξ)2 is the gradient energy that is dependent on the gradient of the order parameter (non-zero at the interface) for describing interfacial energy. In this term, we introduce the anisotropy by using two cosine terms in K2 = k2{1 + ε1cos(4θ) + ε2
cos(2θ)} to model the morphology of a Au nanocross. The term k2 corresponds to the average interface energy, and ε1 and ε2 are the strengths of the anisotropy to accommodate the 4- and 2-fold symmetries of Au nanocrosses, respectively. The morphologies of the nanocrosses are primarily controlled by two model parameters: the flux of Au atoms f and the diffusion coefficient D. The terms −1/π
cos(π[ξ − ξ0]) + γc{ξ + 1/π
sin(π[ξ − ξ0])} correspond to the bulk thermodynamic energy. This free energy with the combination of sine and cosine terms has minima at ξ − ξ0 = +1 and −1, independent of c, where −1 represents the solution with reagents and +1 represents the Au nanocrosses.
The discrete Fourier transform method31 is used to solve this phase-field model for the formation of Au nanocrosses. We solve for ξ(x,y,t) under periodic boundary conditions in the x and y directions and use the phase-field units for length and time measurements, i.e., K2 = 1 and th = 1. The equations are discretized in both space and time, and we use Δx = Δy = 1 and Δt = 0.01. The parameters used are ts = 106, γ = 10 and geq = g(x,y,0) = 0.5. Starting with a cylindrical nucleus with a radius of 1 unit, the simulations are carried out at different values of flux f. All the results shown here are for a system size of 512 × 512 units. In the phase-field model, the flux term f defines the rate at which the dissolved Au atoms attach to the surface of the nanocross. Hence, it influences the rate of growth of the branches. Clearly, the flux controls the width of the branches: the branches widen as the flux is increased. In the experiments, the flux of the Au atoms arriving at the nanocross surface is controlled by the reaction rate, the concentration of reagents and the reaction temperature. Hence the flux term f used in the present model is related to the above mentioned factors. By controlling these factors, we are able to tune the growth flux, which in turn controls the morphology of the nanocrosses.
In our experiments, the presence of Cu is observed to result in an anisotropically branched morphology. Hence, it is deduced that the formation of such fascinating nanostructures arises from the fact that the presence of Cu atoms gives rise to the anisotropy in the surface energy of Au, which is supported by our first-principles calculations. In the phase field method, such surface energy anisotropy is described by using the terms ε1 and ε2, allowing the growth of certain orientations to be more energetically favorable than others, leading to the cross pattern. These parameters were systematically changed to reproduce the morphology of various Au nanocrosses. With the above understanding, we present our simulation results. We first simulated the formation of a doubly-twinned Au nanocross with the D2h symmetry that is shown in Fig. 6A. Using ε1 = 0.04, ε2 = 0.04 and f = 0.0002, the simulated morphology of the Au nanocross has four branches with an equal length (Fig. 6B). To introduce growth anisotropy, we choose different values for ε1and ε2. For example, when using ε1 = 0.04, ε2 = 0.08 and f = 0.0002, the resulting morphology shows that the branches are no longer of the same length with one pair being shorter than the other (Fig. 6C). This is consistent with our experimental observation that the longer pair of branches is more energetically favourable to grow along <110> as compared to the shorter pair of branches along <001>. Meanwhile, to understand the formation of the singly-twinned Au nanocross with the C2v symmetry (Fig. 7A), we utilize the mirror symmetry to simulate the single twin in the nanocross. The obtained structure is shown in Fig. 7B, with ε1 = 0.04, ε2 = 0.08 and f = 0.0002. It is seen that good agreement between the experimental and simulation results is achieved.
Experimentally, we observed that an increase in the reaction time results in secondary branching; where the growth of the secondary branches is perpendicular to the primary branches and is predominantly on the longer branches. However, in the present model, as the longer branch is more energetically favored to grow, any perturbation parallel to the longer branch will grow at the cost of growth along the shorter branch and this is in direct contrast with the experimental results. We hypothesize that such a formation of secondary branched structures is controlled by nucleation rather than growth. To confirm our hypothesis, we introduced new nuclei on the longer arms and observed their evolution after the nanocross grows to a certain size. The results are shown in Fig. 6D and E. It is seen that the nuclei, when placed either symmetrically or randomly along the longer branches, grow into secondary branches. In Fig. 6D, the branches grow symmetrically on either side due to the symmetrical introduction of nuclei, whereas in Fig. 6E, the branches grow asymmetrically due to the random introduction of nuclei. Thus, it is the subsequent nucleation on the Au nanocrosses that results in secondary branching. Clearly, the longer the arms are the larger the surface is available for nucleation; hence, the secondary branches are mostly formed on the longer arms. Overall, our simulation results reproduced the typical morphologies of the Au nanostructures observed in the experiments, confirming that the surface energy anisotropy and the growth flux are the controlling factors for the formation and morphological evolution of the Au nanocrosses.
Footnote |
† Electronic supplementary information (ESI) available: XRD patterns and TEM images. See DOI: 10.1039/c5nr07182h |
This journal is © The Royal Society of Chemistry 2016 |