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Transcript of Hydrogen evolution via sunlight water splitting on an artificial butterfly wing architecture
COVER ARTICLEFan et al.Hydrogen evolution via sunlight water splitting on an artifi cial butterfl y wing architecture
HOT ARTICLEMoortgat et al.The gas-phase ozonolysis of α-humulene
ISSN 1463-9076
Physical Chemistry Chemical Physics
www.rsc.org/pccp Volume 13 | Number 23 | 21 June 2011 | Pages 10825–11452
10872 Phys. Chem. Chem. Phys., 2011, 13, 10872–10876 This journal is c the Owner Societies 2011
Cite this: Phys. Chem. Chem. Phys., 2011, 13, 10872–10876
Hydrogen evolution via sunlight water splitting on an artificial butterfly
wing architecturew
Huihui Liu,za QibinZhao,za Han Zhou,aJian Ding,
aDi Zhang,
aHanxing Zhu
band
Tongxiang Fan*a
Received 16th March 2011, Accepted 25th March 2011
DOI: 10.1039/c1cp20787c
A prototype of nature’s butterfly wing architecture using Pt
loaded TiO2 is provided and demonstrated to be able to enhance
the hydrogen evolution rate by 2.3 times in sunlight water
splitting. This is due to advantages brought about by the
hierarchical architecture in both meso scope and nano scope.
The global energy crisis and environmental problems have
become increasingly prominent as a consequence of industrial
civilization, and the situation is unlikely to improve in decades
to come. Given the right way to utilize it, solar energy could
provide a promising solution. The real challenge is how to
convert solar energy into high-energy chemicals and how to
collect such energy products efficiently. Using sunlight to split
water into hydrogen and oxygen seems to be a promising way
as its product, hydrogen, is a clean and sustainable energy
source.1,2 To further develop this strategy we need to focus on
enhancing the performance of the photocatalyst used in this
reaction. The reaction of sunlight water splitting consists of
three steps: light harvesting, energy conversion, hydrogen
production and evacuation.3 Here, we put forward a general
strategy of using nature’s butterfly wing hierarchical architecture
to get better photocatalytic performance of TiO2, a typical
sunlight water splitting photocatalyst, in all three steps. We
believe nature has provided hidden solutions in many forms
and butterfly wing architecture may be one of them, but not
the only one. This concept could be extended to many other
relevant species, thus give a broad scope of building proto-
types to exploit solar energy for sustainable energy resources.
As a high efficiency photocatalyst under ultraviolet light,
titanium dioxide (TiO2) has been widely investigated in
dye-sensitized solar cells,4,5 water and air detoxification,6,7
self-cleaning,8 water splitting,9 and so forth. To enhance its
photocatalytic performance in sunlight water splitting,
investigators have been conducting research with an emphasis
on modification of TiO2 by means of metal loading,10,11 metal
ion doping,12 dye sensitization,13 composite semiconductor,14
anion doping,15 and metal ion-implantation.16,17 Recently more
and more researchers have recognized the effect of micro
architectures, and have reported significantly enhanced photo-
catalytic properties on TiO2 nanotube arrays,18 ordered meso-
porous TiO2 thin films,19 improvement of light harvesting
with interconnected web-like architecture TiO2 films, and so
forth. However, present techniques are very limited in taking
the challenge of designing and producing effective micro
architectures, while nature has plenty of exquisite architectures.
Butterfly wings exhibit a variety of beautiful colors that
are not only the result of pigments but are also more
importantly due to the presence of periodical submicrometer
architectures.20,21 In the nanometre to micron scale, butterfly
wing scales show an extremely delicate and complex morphology
consisting of aligned lamellas, which are in turn arranged into
highly ordered architectures forming pores and layers.22 These
exquisite architectures offered by Mother Nature could be
borrowed as bio-templates to get TiO2 with a hierarchical
architecture, in order to help promote the photocatalytic
efficiency and thus enhance the energy transfer system.
Vaviaty methods like chemical vapor deposition, sol–gel,
atomic layer deposition have been reported on using photonic
structures from insects to create inorganic replicas.23–29 Here
we learn from these works and make a modulated prototype of
efficient photocatalyst after studying the original architecture.
We tried this idea with the male Papilio helenus Linnaeus
(Fig. 1a) which belongs to the Papilionidae family. It’s
basically all black only with a pair of white spots on the dorsal
wings. Field emission scanning electron microscopy (FESEM)
images show that the wing is covered with layers of scales
arranged orderly like roof tiles (Fig. 1b). A typical scale is
about 130 mm long and 60 mm wide, consisting of a simple
bottom layer (about 220 nm thick) and an upper layer with
hierarchical architecture (Fig. 1c). In this case, the upper layer
is comprised of a continuous bottom open hollow wedge like
ridges, resembling the structural microwave absorbers in
microwave chambers,30 and adjacent ridges are separated by
hole arrays with a kind of quasi-honeycomb arrangement
(Fig. 1d). The ridges are about 640 nm high with a space of
about 2.9 mm between neighboring ridges, and the average
hole diameter in the hole arrays is about 700 nm.
In order to get the relationship between the blackness
of its wings and the architecture, 3D FDTD (finite-difference
a State Key Lab of Composites, Shanghai Jiaotong University,200240, Shanghai, P.R. China. E-mail: [email protected];Fax: +86-21-34202497; Tel: +86-21-54747779
b School of Engineering, Cardiff University, Cardiff, CF24 3AA, UKw Electronic supplementary information (ESI) available: See DOI:10.1039/c1cp20787cz These authors contributed equally to this work.
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This journal is c the Owner Societies 2011 Phys. Chem. Chem. Phys., 2011, 13, 10872–10876 10873
time-domain) simulations are performed to investigate the
light harvesting capacity of the black dorsal wing. To compare
the optical properties between the original nanoarchitectured
scales and their nonarchitectured counterparts, simulation
model 1 was built according to the average size of original
wing scales obtained by FESEM observation, and a planar
scale model was also built by squeezing model 1 into a slab of
the same bottom area and the same volume (Fig. 1i).
Parameters of the 3D FDTD simulations are shown in the
ESIw. Fig. 1e and g present the comparison between the
simulation results of model 1 and the planar scale model, plus
the measured reflection/transmission spectra of original scales.
Compared with the result of the planar scale model (about
14% in reflection), architecture of the scales exhibits a significant
antireflection effect (about 1–4% in reflection). In order to
demonstrate how light interacts with the architecture, Poynting
vector maps are presented to show the energy distribution of
the reflected/transmitted light by the architecture. According
to Fig. 1f and h, the hole arrays, especially the side holes, have
the smallest reflection and transmission, suggesting the strongest
light absorption, while the ridges have both stronger reflection
and transmission. Based on FESEM observation, there are
three basic elements in the wing scale architecture, that’s why
models 2, 3 and 4 were built based on model 1 by varying the
parameters of one of the three basic elements: hole arrays
(model 2), bottom layer (model 3), and the ridges (model 4), to
show the optical effect of each element (Table S1 & Fig. S1.1w).Simulation results show that increasing the hole array
depth brings about the increase in reflection and decrease in
transmission (Fig. S1.2w). When the bottom layer is removed,
reflection decreases very little while transmission increases
quite a lot. Reducing the gradient of the ridges basically does
not affect the transmission spectrum but slightly decreases
reflection (Fig. S1.2w). According to these results, we can
assume that the ridges on the upper layer reflect and guide
the light into the quasi-honeycomb hole arrays, where multiple
scattering happens, while light escaping from the hole arrays is
reflected back by the bottom layer. A high rate of light
absorption is achieved through cyclic reflection and scattering.
In this way, the three basic elements with different and
supporting functions in the hierarchical architecture work
together and thus achieve an enhanced light harvesting
efficiency.
The architecture discussed above is not the only one in
butterfly wings. Looking more closely into the ribs that
separate the holes in nano scope, it can be seen that ultra-thin
chitin layers are arranged together to form the matrix (Fig. 1j,
Fig. S2w). For butterflies this nano architecture helps use less
material to form the wings while maintaining high strength
and durability, thus reduce the whole body weight without
Fig. 1 Structural and optical properties of butterfly Papilio helenus Linnaeus (male). (a), An overall view of the butterfly. (b), FESEM image
showing the scales of the black area. (c), FESEM image showing the cross section of a scale. (d), FESEM image showing the architecture of the
upper layer. (e), Measured reflection spectrum of the original scale, simulated results of the original scale (model 1) and the planar scale model. (f),
Poynting vector distribution map of model 1 for reflection by Gaussian modulated continuous wave. (g), measured transmission spectrum of the
original scale, simulated results of the original scale (model 1) and the planar scale model. Dashed rectangles in f and g indicate the middle holes,
and brown rectangles indicate the side holes. (h), Poynting vector distribution map of model 1 for transmission by Gaussian modulated continuous
wave. (i), The planar scale model is obtained by squeezing the 3D original model into a slab of the same bottom area and volume. (j), TEM image
showing the ultra thin chitin layers.
10874 Phys. Chem. Chem. Phys., 2011, 13, 10872–10876 This journal is c the Owner Societies 2011
affecting the function. For photocatalytic purposes this is an
optimistic prospect because photocatalytic reactions prefer
smaller grains, shorter charge transfer pathways and larger
outermost layer surface.
Based on the prototype of the hierarchical architecture of
butterfly wings, artificial butterfly wing architecture TiO2
(ABWA-TiO2) were produced by a simple immersion-calcination
method using the original wings as template and TiCl3 solution as
precursor. TiO2 nanoparticles without template (NT–TiO2)
were also synthesized under the same conditions for comparison.
Experimental details are provided in the ESIw.The FESEM images of the mesoporous architecture of the
ABWA-TiO2 are shown in Fig. 2a, b and c. According to the
FDTD simulations, three basic elements in the hierarchical
architecture work together in different but related functions to
enhance light harvesting efficiency. To inherit this light
harvesting property from nature, ABWA-TiO2 must inherit
the hierarchical architecture from the wing templates.
Compared with the original wing scale, the bottom layer were
preserved, ridges were well copied, and the hole arrays
were kept not only with a proper depth but also with the
quasi-honeycomb arrangement. However, the hole size has
shrunk by about 50%, i.e. the average hole size has reduced
from about 700 nm to about 350 nm.
Fig. 2d (see also Fig. S3w) is a transmission electron
microscope (TEM) image of the nanoscopic architecture of
the ABWA-TiO2. Fig. 2d and c show the homogeneous size
distribution of grains and nano pores. The average grain size
obtained from the TEM image is about 11 nm. The porous
architecture on the nanoscale was also characterized by
nitrogen-adsorption measurements. Fig. 2e displays the
adsorption-desorption isotherm and the pore size distribution
curve deduced from BET isotherms and the Kelvin equation.
For this sample the pore size is about 8.6 nm and the size
distribution is very narrow, which agrees with the FESEM and
TEM observation.
These meso scope architectures and nano pores in our
ABWA-TiO2 are actually not separated, but work as a system
to form a kind of hierarchical micro-mesoporous catalyst with
microporosity embedded in mesoporous walls. The meso
scope hole arrays and the nano pores make a highly organized
hierarchical evacuating pathway for the photocatalysis
products, which are produced on the outermost layer surface
and transferred into the nanopores first, then absorbed by the
meso scope hole arrays into the solution. These functions of
micro and mesoporosity are similar to those of the substantial
quantity of pores, enabling effective diffusion of nutrients
and metabolites to and from the cells in latest work about
photobioreactors.31,32
Powder X-ray diffractograms of ABWA-TiO2 are identified
as being due to the anatase phase of TiO2 (Fig. S4w). In order
to distinguish the crystalline-size broadening and microstrain
broadening, the method proposed by W. H. Hall was
employed.33 An average grain size of 11.1 nm was estimated
from the integral breadth of the (101), (200) and (204) diffraction
lines. This result is consistent with TEM observation (Fig. 2d).
NT–TiO2 was also identified to be the anatase phase of TiO2,
only with a larger average grain size of 20.5 nm (Fig. S5w).According to classical nucleation theory, the existence of
impurity phase, i.e. the ultra thin chitin layers of bio-template
in this case, can slow down nucleus growth by providing a
large number of nuclei, and thus result in smaller grains.
Smaller grains possess larger outermost layer surface and
smaller density of grain boundaries, which is associated slower
recombination rates for charge carriers.34,35 Considering
that quantum size effects occur for semiconductor particles
Fig. 2 (a), (b), (c), FESEM image of the architecture of ABWA-TiO2. (d), TEM image of ABWA-TiO2. (e), Nitrogen-adsorption-measurement
results of ABWA-TiO2, with the blue and black curves showing the adsorption-desorption isotherms of the sample, and the red one showing the
pore-size distribution of the sample. (f), Light harvesting efficiency of ABWA-TiO2 (red) and NT–TiO2 (blue).
This journal is c the Owner Societies 2011 Phys. Chem. Chem. Phys., 2011, 13, 10872–10876 10875
of 1–10 nm size, it is safe to say that the size of both systems
are in the same level and this effect does not play the key role
in photocatalysis efficiency compared with factors like light
harvesting.36 Surface areas of both samples were tested by
nitrogen-adsorption measurements. Results show the surface
area of ABWA-TiO2 is 51.2 m2 g�1, with micropore area being
13.8 m2 g�1 and external surface area being 37.4 m2 g�1.
Corresponding data for NT–TiO2 is 74.0 m2 g�1, 6.3 m2 g�1
and 67.8 m2 g�1. This also demonstrated the multi-porous but
hierarchically connected architecture of ABWA-TiO2.
Fig. 2f shows the light harvesting efficiency of the
ABWA–TiO2 and NT–TiO2 in comparison. The exact pattern
between the hole size and light absorption still needs further
investigation, and latest work implies that optical properties
do show a difference when mesopore size changes.37 Here as
for ABWA–TiO2, the overall size shrank with the architecture
preserved, while the required wavelength shifted from the
visible range for butterflies to the UV range for photocatalyst.
Compared to NT–TiO2, light harvesting efficiency was
enhanced by about 30 percent in wave range from about
220 nm to 380 nm. Considering the fact that TiO2 is a high
efficiency photocatalyst under UV light, this not only proved
our idea of borrowing nature’s architecture to enhance the
light harvesting efficiency of an artificial energy transfer
system, but also shifted the absorption range from nature’s
requirement (longer wavelength) to our requirement (shorter
wavelength).
Fig. 3 shows the H2 producing performance by every gram
of different samples in sunlight water splitting. 80 mg of
samples were used each time. The activity of ABWA–TiO2
in pure water is low which might be attributed to the high
recombination of the photogenerated electrons and holes as
well as the back reaction between the produced H2 and O2.
When the reaction was performed in 10% aqueous methanol,
a known sacrificial electron donor,38 the hydrogen evolution
rate is about 500 times higher than that in pure water
(Fig. S6w). Fig. 3a shows the comparison between ABWA–TiO2
and NT–TiO2. Compared to NT–TiO2, ABWA–TiO2 has got a
hydrogen production rate 7 times higher, producing a total H2
amount of 22.87 mmol after 5 h, with the evolution rate of
1.003 mmol min�1 per gram sample. As discussed above, in meso
scope, the hierarchical wing architecture enables ABWA-TiO2
enhanced light-harvesting capacity, capturing more photons for
the photocatalytic reactions. In nano scope, ultra-thin chitin
layers that construct the wings work as an impurity phase in
TiO2 crystallization and ensure a size control of grains and pores.
In both scopes, the micron hole arrays and the nano pores make a
highly organized hierarchical evacuating pathway for the photo-
catalysis products, hence increase the photocatalytic efficiency
dynamically. On the whole, the hierarchical architecture
borrowed from butterfly wing template works on several levels,
and enhances the catalytic activity of ABWA–TiO2.
Pt nano particles were loaded on ABWA-TiO2 in order to
promote charge transfer and create hydrogen desorption
sites.39 According to Fig. 3b, Pt loaded samples show a
significant improvement in hydrogen yield. We tried a series
of different Pt loading amounts in our samples and found that
H2 yield increased initially with increasing Pt content, reached
a maximum and then started to decrease once the Pt content
exceeded a level around 1.5 wt%. The reason for this trend
could be that the deposition of small amounts of Pt is
indispensable for the removal of photogenerated electrons
from TiO2, their storage and for the reduction reaction.
However, as more and more Pt is added to the TiO2
surface and beyond a certain optimal value, blockage of the
photosensitive TiO2 surface occurs and consequently reduces
the surface concentration of electrons and holes available for
reaction. Therefore, H2 yield starts to decrease after this
optimal point.39 The 1.5 wt% Pt loaded ABWA-TiO2
produced a total H2 amount of 882.85 mmol after 5 h
(Fig. 3b), with an evolution rate of 41.32 mmol min�1 per
gram sample, which is 41 times higher than that of 0 wt% Pt
loaded ABWA-TiO2, and 2.3 times higher than that of
1.5 wt% Pt loaded NT–TiO2 (Fig. 3c).
Conclusions
In conclusion, as a typical prototype, artificial butterfly wing
architecture TiO2 (ABWA-TiO2) has been produced using the
original butterfly wings as templates and enhanced photo-
catalytic efficiency has been achieved. The hierarchical
architecture borrowed from butterfly wing template works
on several levels to enhance catalytic activities of Pt loaded
TiO2 and thus is able to enhance the hydrogen evolution rate
by 2.3 times. These results demonstrate a new strategy for
mimicking Mother Nature’s elaborate creations in making
materials for renewable energy. Currently existing artificial
energy transfer systems and techniques are very limited in
design and production of effective micro architectures, while
nature has tens of thousands of kinds of butterflies and other
Fig. 3 Hydrogen evolution of the samples in 10% aqueous methanol under UV and visible light irradiation. (a) Comparison between
ABWA–TiO2 and NT–TiO2. (b) Comparison between ABWA–TiO2 series loaded with different amount of Pt particles. (c) Hydrogen evolution
rates of six typical samples.
10876 Phys. Chem. Chem. Phys., 2011, 13, 10872–10876 This journal is c the Owner Societies 2011
related species with innumerable elaborate hierarchical
architectures evolved over millions of years to meet specific
biological purposes. The concept of learning from nature
could be extended broadly, thus give a broad scope of building
technologically unrealized hierarchical architecture and design
blueprints to exploit solar energy for sustainable energy
resources.
Acknowledgements
This work is supported by National Natural Science
Foundation of China (No. 50972090), National Basic Research
Program of China (No. 2011CB610300), Dawn program of
Shanghai Education Commission (No. 08SG15), Shanghai
Rising-star Program (No. 10QH1401300) and Research
Fund for the Dectoral Program of Higher Education
(No. 20100073110065).
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