Digambar Y Nadargi1, Mohaseen S Tamboli2, Santosh S Patil3, Ramesh B Dateer4, Imtiaz S Mulla5, Hyosung Choi2, Sharad S Suryavanshi1. 1. School of Physical Sciences, PAH Solapur University, Solapur 413255, Maharashtra, India. 2. Department of Chemistry and Research Institute for Convergence of Basic Sciences, Hanyang University, Seoul 04763, Republic of Korea. 3. Department of Chemistry, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea. 4. Centre for Nano and Material Sciences, JAIN (Deemed-to-be-University), Jain Global Campus, Bangalore, Karnataka 562112, India. 5. Former Emeritus Scientist (CSIR), Centre for Materials for Electronics Technology, Pune 411008, India.
Abstract
A robust synthesis approach to develop CuO/ZnO nanocomposites using microwave-epoxide-assisted hydrothermal synthesis and their proficiency toward H2S gas-sensing application are reported. The low-cost metal salts (Cu and Zn) as precursors in aqueous media and epoxide (propylene oxide) as a proton scavenger/gelation agent are used for the formation of mixed metal hydroxides. The obtained sol was treated using the microwave hydrothermal process to yield the high-surface area (34.71 m2/g) CuO/ZnO nanocomposite. The developed nanocomposites (1.25-10 mol % Cu doping) showcase hexagonal ZnO and monoclinic CuO structures, with an average crystallite size in the range of 18-29 nm wrt Cu doping in the ZnO matrix. The optimized nanocomposite (2.5 mol % Cu doping) showed a lowest crystallite size of 21.64 nm, which reduced further to 18.06 nm upon graphene oxide addition. Morphological analyses (scanning electron microscopy and transmission electron microscopy) exhibited rounded grains along with copious channels typical for sol-gel-based materials . Elemental mapping displayed the good dispersion of Cu in the ZnO matrix. When these materials are employed as a gas sensor, they demonstrated high sensitivity and selectivity toward H2S gas in comparison with the reducing gases and volatile organic compounds under investigation. The systematic doping of Cu in the ZnO matrix exhibited an improved response from 76.66 to 94.28%, with reduction in operating temperature from 300 to 250 °C. The 2.5 mol % doped Cu in ZnO was found to impart a response of 23 s for 25 ppm of H2S. Gas-sensing properties are described using an interplay of epoxide-assisted sol-gel chemistry and structural and morphological properties of the developed material.
A robust synthesis approach to develop CuO/ZnO nanocomposites using microwave-epoxide-assisted hydrothermal synthesis and their proficiency toward H2Sgas-sensing application are reported. The low-cost metal salts (Cu and Zn) as precursors in aqueous media and epoxide (propylene oxide) as a proton scavenger/gelation agent are used for the formation of mixed metal hydroxides. The obtained sol was treated using the microwave hydrothermal process to yield the high-surface area (34.71 m2/g) CuO/ZnO nanocomposite. The developed nanocomposites (1.25-10 mol % Cu doping) showcase hexagonal ZnO and monoclinic CuO structures, with an average crystallite size in the range of 18-29 nm wrt Cu doping in the ZnO matrix. The optimized nanocomposite (2.5 mol % Cu doping) showed a lowest crystallite size of 21.64 nm, which reduced further to 18.06 nm upon graphene oxide addition. Morphological analyses (scanning electron microscopy and transmission electron microscopy) exhibited rounded grains along with copious channels typical for sol-gel-based materials . Elemental mapping displayed the good dispersion of Cu in the ZnO matrix. When these materials are employed as a gas sensor, they demonstrated high sensitivity and selectivity toward H2Sgas in comparison with the reducing gases and volatile organic compounds under investigation. The systematic doping of Cu in the ZnO matrix exhibited an improved response from 76.66 to 94.28%, with reduction in operating temperature from 300 to 250 °C. The 2.5 mol % doped Cu in ZnO was found to impart a response of 23 s for 25 ppm of H2S. Gas-sensing properties are described using an interplay of epoxide-assisted sol-gel chemistry and structural and morphological properties of the developed material.
Over the past two decades, pan class="Chemical">metal oxide semiconductor-based n>an class="Gene">gas
sensors have attracted great attention among researchers because of
their robustness, low production cost, high sensitivity, and the ability
to detect various gases.[1−6] Despite two main types of semiconducting metal oxide-based sensors,
such as n-type (electrons as majority charge carriers) and p-type
(holes as majority charge carriers), the construction of heterojunction
(p–n) sensors has become an efficient approach to improve the
sensing performance. When two such dissimilar semiconductors are brought
together, the Fermi level of individual semiconductors reside at the
same energy level upon electrical contact. This in turn results in
charge transfer and, thereby, the formation of a depletion layer.
This is the basis of unique synergistic effects to the substantial
enhancement in the gas response compared with their single component
system.[7,8]
In the present work, efforts were made to develop the CuO/ZnO heterojunction
using epoxide-assisted sol–gel chemistry in combination with
the microwave hydrothermal process. In the state-of-the-art, despite
significant investigations on CuO/ZnO in recent years,[9−15] this is the first ever report that disseminates the results on the
epoxide [propylene oxide (PO)]-assisted sol–gel process of
the CuO/ZnO heterojunction via a microwave hydrothermal route for
H2Sgas-sensing proficiency. This robust synthesis approach
utilizes simple metal salts in aqueous solution and PO as a gelation
agent.[16]Scheme shows a schematic illustrating the formation
of CuO/ZnO nanocomposites from the respective metal salts [zinc nitrate
hexahydrate (Zn(NO3)2·6H2O),
copper nitrate trihydrate (Cu(NO3)2·3H2O), and PO (C3H6O)]. Assuming a strenuous
reaction mechanism for CuO/ZnO sol, for example, a nitrate-aqua metal
cation (present case), the epoxide ring is attacked by a nucleophile,
namely, a “free” uncoordinated corresponding anion of
the metal saltNO3–. As the ring opens,
a proton from a water ligand molecule is abstracted, thereby yielding
the mixture of nitrate-aquametal hydroxides. The formation of metal–oxygen–metal
bonds (condensation reaction) can be simply viewed as a ligand-substitution
reaction. As water is an easily detachable group, the kinetics of
the reaction are primarily determined by the pH and nature of the
attacking nucleophile.
Scheme 1
Schematic Showing the PO-Assisted Sol–Gel Reaction Mechanism
of the CuO/ZnO Nanocomposite
Different types of epoxides such as n>an class="Chemical">PO (C3H6O), trimethylene oxide (TMO, C3H6O), and dimethyloxetane
(DMO, C5H10O) can be used for the aforementioned
reaction chemistry. However, the rate of the proton scavenging reaction
strongly depends on the type of epoxide used. Gash et al. reported
the gelation times to increase with the epoxide used in the order
PO < TMO < DMO.[17] Therefore, in the
present work, PO is preferred to adopt for the sol–gel process
to develop CuO/ZnO nanocomposites.
Speaking about an adoption of the microwave hydrothermal route,
it refers to the utilization of microwave radiation as a heat source
for the nanocomposite synthesis. In contrast to the conventional hydrothermal
process where heat transfer occurs via convection, microwaves directly
couple to the reactant species, thus eliminating the traditional/long
heating reaction times. Also, as the microwaves couple well to electric
dipoles, the high polarity of H2O in an aqueous solution
for hydrothermal synthesis is ideally suited for microwave heat exposure.[18,19]The present work demonstrated, the adoption of the mipan class="Chemical">crowave hydrothermal
process and use of n>an class="Chemical">epoxide-assisted colloidal chemistry, which led
to promising results in the development of CuO/ZnO heterojunctions
as a highly versatile H2Sgas sensor material.
The adopted route (epoxide assisted sol–gel process) offers
a number of advantages such as the route utilizes simple metal salts
in aqueous solution, typically metalnitrates/chlorides/halides, thus
eliminating the need for expensive organometallic precursors in some
typical cases with the use of an alcohol solvent medium. With an eye
on large scale production, the absence of surfactants/capping agents
and alcohol solvents, the use of simple salt precursors, and, perhaps
most importantly, the rapid processing times are unique features of
this technique. Prior to microwave hydrothermal treatment, even without
heating the reagents, the reaction moieties are formed almost instantaneously,
depending on the amount of PO utilized. The method is, in general,
very well-suited for the synthesis of a variety of complex mixed metal
oxide materials. Last but not the least, the process allows improved
control over the morphology of the resulting nanocomposite/mixed metal
oxide. The detailed comparison on the state-of-the-art articles with
the present results is made in the supplementary section (Table S1).
Results and Discussion
The developed nanocomposites showcase hexagonal ZnO and monoclinic
CuO structures, matching with the patterns of JCPDS cards 36-1451
and 89-5899, respectively (Figure ). The miller indices of the developed nanocomposite
were observed as (1 0 0), (0 0 2), (1̅ 1 1), (1 0 1), (1 1 1),
(1 0 2), (2̅ 0 2), (0 2 1), (1̅ 1 3), (1 0 3), (2 0 0),
(2 2 0), and (2 0 1) for 31, 34, 35, 36, 38, 47, 48, 56, 61, 62, 66,
68, and 69°, respectively, with a bar indicating the negative
direction of the plane. The well-resolved sharp peaks of ZnO (1 0
1) and CuO (1 1 1), (1̅ 1 1) signifies the highly crystalline
formation of the CuO/ZnO heterojunction.[20] With an increase in the doping level of Cu in the ZnO matrix, the
peak intensity of the CuO plane (1 1 1) was observed to increase.
No diffraction peak corresponding to any other crystalline phase of
Cu2O3 implies the proper dispersion of Cu into
the ZnO lattice. The average crystallite size using the Scherrer equation
(eq ) was obtained in
the range of 18–29 nm, according to Cu doping in the host matrix.where K—Debye–Scherrer’s
constant, λ—wavelength of the radiation (Cu Kα1 = 0.154 nm), β—full width half maximum, and
θ—Bragg’s angle.
Figure 1
X-ray diffraction (XRD) pattern of CuO/ZnO nanocomposites synthesized
at different doping levels.
X-ray diffraction (XRD) pattern of pan class="Chemical">CuO/ZnO nanocomn>an class="Chemical">posites synthesized
at different doping levels.
The sample ZC2 shows the lowest crystallite size of 21.64 nm, which
reduced further to 18.06 nm, upon graphene oxide (GO) addition (sample
GO_ZC2). The reduced/lower crystallite size gives the hint of a potential
candidate for gas-sensing application because of the fact that the
smaller crystallite size offers a larger surface area [revalidated
using Brunauer–Emmett–Teller (BET) in the later section].
Therefore, the probability of gas–solid interaction will be
enhanced because of larger coverage of the gas molecules.[21]Table below tabulates the average crystallite size (DXRD) from XRD for all the developed samples.
Table 1
Average Crystallite Size (DXRD) from XRD for all the Developed Samples
sample id
average crystallite
size DXRD (nm)
Zn
26.27
ZC1
21.71
ZC2
21.64
ZC3
28.06
ZC4
28.61
ZC5
29.85
GO_ZC2
18.06
The morphological analysis of pristine and optimized Cu-dopedZnO
samples (Zn & ZC2) is highlighted in Figure . Field emission scanning electron microscopy
(FE-SEM) images showcase the peculiar features of sol–gel derived
nanomaterials.[16] The grain size of the
sample obtained from FE-SEM micrographs is in the range of 34–63
nm. The rounded grains along with copious channels can be attributed
to the formation of the three-dimensional web matrix of the metal
oxide because of the epoxide-assisted gelation process. The three
dimensional web matrix can be easily noticed in transmission electron
microscopy (TEM) and high-resolution TEM (HRTEM) images of respective
samples. Such empty spaces and channels allow effective diffusion
of gas molecules for an improved gas-sensing response. Moreover, the
HRTEM fringes and selected area electron diffraction (SAED) patterns
with bright rings match with pristine and doped ZnO planes belonging
to the hexagonal ZnO and monoclinic CuO structures, thus revalidating
the results obtained from XRD analysis.
Figure 2
FE-SEM, TEM, HRTEM, and SAED pattern of CuO/ZnO nanocomposites
[sample Zn: (a–d), and sample ZC2: (e–h)].
FE-SEM, TEM, HRTEM, and SAED pattern of pan class="Chemical">CuO/ZnO nanocomn>an class="Chemical">posites
[sample Zn: (a–d), and sample ZC2: (e–h)].
The energy dispersive X-ray (EDAX) analysis for sample Zn and GO_ZC2
shows the presence of Zn, Cu, and O elements according to atomic ratios
taken in the initial precursors (Figure ). The elemental distribution and EDAX analysis
of the sample ZC2 are incorporated into the supplementary section,
as Figures S4 and S5, respectively. The
atomic ratios of the constitutive elements are highlighted in percentage
within Figure . Its
elemental mapping illustrates the uniform distribution of Cu in the
ZnO matrix. The corresponding EDS spectrum (right side) provides the
compositional elements wrt their counts.
Figure 3
Elemental mapping along with the EDX spectra of the sample Zn and
GO_ZC2.
Elemental mapping along with the EDX spectra of the sample pan class="Chemical">Zn and
n>an class="Chemical">GO_ZC2.
From N2 sorption studies (Figure ), the developed nanocomposites showcase
the characteristic behavior of a type-IV isotherm which is typical
for mesopores, with a well-defined hysteresis loop of type H3 (indicating
platelike particles forming slit-shaped pores) at p/p0 > 0.9.[22] As hysteresis is usually associated with capillary condensation
in mesoporous structures, the decrease in the adsorbed volume in samples
Zn and ZC5 resulted in a lower surface area than ZC2 and GO_ZC2. With
an addition of GO in the optimized Cu-dopedZnO sample (ZC2), it evolves
with the highest surface area (34.71 m2/g), which is anticipated
for better gas response. The resulting higher surface-to-volume ratio
in GO_ZC2 is due to addition of GO, which inhibits the growth the
particles (seen in XRD as well). Table highlights the mean pore radius, pore volume, and
BET surface area of all developed samples.
Figure 4
Nitrogen absorption–desorption isotherms of samples Zn,
ZC2, ZC5, and GO_ZC2.
Table 2
Mean Pore Radius, Pore Volume, and
BET Surface Area of the Developed CuO/ZnO Nanocomposites
sample id
mean pore
diameter (nm)
pore volume (m3/g) × 10–8
surface area (m2/g)
Zn
9.29
5.5
23.61
ZC1
10.20
7.9
30.47
ZC2
8.82
7.7
31.59
ZC3
10.92
5.0
18.39
ZC4
12.71
2.6
8.09
ZC5
11.62
2.1
7.36
GO_ZC2
14.56
1.1
34.71
pan class="Chemical">Nitrogen absorpn>tion–desorpn>tion isotherms of sampn>les n>an class="Chemical">Zn,
ZC2, ZC5, and GO_ZC2.
Gas Response Analysis
To investigate and compare the
gas-sensing performance of the developed CuO/ZnO nanocomposites, the
respective sensors were tested for different reducing gases and volatile
organic compounds (H2S, LPG, trimethylamine, diethanolamine,
ammonia, acetone, xylene, and ethanol). Among all the test gases,
the CuO/ZnO nanocomposite (ZC2) displayed the best selectivity toward
H2Sgas (Figure a) with remarkable 94% response at barely 25 ppm H2S concentration at 250 °C operating temperature. Because of
Cu doping in the ZnO matrix, the response shoot up twice of pristine’s
response (Zn, 48%). In contrast, none of the remaining test gases
showed comparable response even at 100 ppm gas concentration. Therefore,
by considering H2S selectivity, further investigations
were performed.
Figure 5
Gas sensing analyses [(a) selectivity, (b) optimum operating temperature,
and (d) concentration response] and (c) formation of the p–n
junction of the CuO/ZnO nanocomposite.
pan class="Gene">Gas sensing analyses [(a) selectivity, (b) optimum operating tempn>erature,
and (d) concentration resn>an class="Chemical">ponse] and (c) formation of the p–n
junction of the CuO/ZnO nanocomposite.
Figure b displays
the optimal operating temperature (OOT onward) of the developed sensor
material toward H2S. The sensors (pristine and nanocomposites)
displayed the hump, indicating (i) increase in gas response, (ii)
realization of a certain maxima, and (iii) and further decrease with
increasing operating temperature. The nature is the result of adsorption
and desorption of oxygen molecules from the sensor surface, which
is extensively reported.[23,24] Initially, when the
pristine ZnO (sample Zn) was exposed to air, oxygen molecules chemisorbed
on the sensor surface and then capture the conduction band (CB) electrons
to generate ionized oxygen species such as O2–, O–, and O2–, which results
in an increase in the resistance of the ZnO sensor because of the
formation of electron depletion layers. However upon adding H2Sgas, it reacts with these chemisorbed oxygen ions, and then
releases the trapped electrons back to ZnO. As a result, the width
of the depletion layer decreases and thus the resistance as well.
The possible reactions are as follows[25]On the other hand, the introduction of CuO in the ZnO matrix (thus
forming a p–n heterojunction) enhanced the sensing performance
drastically. The improved sensing performance of the CuO/ZnOp–n
heterojunction sensor compared to that of the pristine one can be
attributed to the electronic and chemical sensitization effects transpired
because of CuO incorporation. Talking about electronic sensitization,
a typical p–n heterojunction is established between p-type
CuO and n-type ZnO. Because the work function of Cu (4.53–5.10
eV) is higher than that of Zn (3.63–4.9 eV), the electrons
in the ZnO CB transfer to CuO, while the holes transfer toward ZnO
until the Fermi level (Ef) of the junction
comes to equilibrium. This widens the depletion layer, and thus, energy
band bending occurs at the interface of the CuO/ZnOp–n heterojunction,
thereby improving the response (Figure c).On the other hand, in the chemical sensitization effect (catalytic
spillover effect), pan class="Chemical">CuO plays an imn>an class="Chemical">portant role. It acts as a catalyst
which facilitates the dissociation of oxygen molecules into O atoms.[26]
The generated O atoms get diffuse and spill over onto the pan class="Chemical">ZnO surface.
The diffused O atoms trapn> the electrons from CB of n>an class="Chemical">ZnO and creates
adsorbed O– ions on the sensor surface.
This phenomenon results in the increase in the number of chemisorbed
oxygen species on the CuO/ZnOp–n heterojunction as compared
to that on pristine ZnO. In this situation, a greater number of electrons
will be extracted from ZnO, which eventually increases the depletion
layers between the ZnO and CuO, resulting a wider depletion layer
and band bending at the interface. This results in high potential
barrier (qV) between the intergranular ZnO and CuO
junction, which hinder the conduction of electrons, thus increasing
the resistance of the sensor. After the exposure with H2Sgas, the chemisorbed oxygen ions (O–) react with
H2Sgas molecules and release the trapped electrons back
to the CB of ZnO and CuO. This results in the lowering of the potential
barrier height and decrease of the resistance of the CuO/ZnOp–n
heterojunction. Hence, the chemical sensitization effect accelerates
the sensing reaction with improved sensing performance. Moreover,
CuO not only increases the sites for the oxygen molecule and target
gas adsorption but also lowers the activation energy that is required
for the gas-sensing reaction. Therefore, the response of the CuO/ZnOp–n heterojunction (sample ZC2) is much higher. Furthermore,
it was reported that CuO can be reduced to Cu, with electrons being
donated back to the heterojunction, upon exposing to reducing gases
(H2S). This also results into reduction of depletion layer
width, thereby inducing a large resistance change in the heterojunction.Another impan class="Chemical">portant aspn>ect in the chemical sensitization is transformation
of n>an class="Chemical">CuO to CuS upon an introduction of H2Sgas, through
the sulphurization reaction.[27] The sulphurization
reaction can be shown as follows[28]
The work function of CuO is 3.61 eV, whereas CuS has in the range
of 4.90–4.95 eV.[29−32] Because of the difference in the work function, electrons
from CuO flow to CuS, establishing the potential barrier. When only
the grain boundary regions are converted to CuS, the width of the
potential barrier narrows down (at lower concentration of H2S). Therefore, it changes the conductivity from semiconducting to
metallic type leading to a high response toward H2S.[33−39] The following Scheme , illustrates the energy band structure of the developed CuO/ZnO
nanostructure, before and after H2Sgas sensing. CuO nanoparticles
(p-type) which are the part of the ZnO matrix (n-type) forms a p–n
junction (Scheme a).
In origin, the junctioned sensor material show high conductivity (0.2
μA in air) compared to that of the pristine metal oxide/nonjunctioned
sensor material (0.5 μA in air). During H2Sgas sensing,
the H2S removes the adsorbed oxygen species on ZnO and
reacts with CuO to convert into metallic CuS (eq ). This chemical conversion of CuO into metallic
CuS led to increase the conductivity, thereby change in the energy
band structure (Scheme b). During the recovery mode, on the application air purge, the sensor
comes back to the initial chemical state as of the fresh CuO/ZnO junction,
through the chemical revision of CuS to CuO (eq ) by the reaction with oxygen in air. This
way an ionized oxygen species adsorb back onto the ZnO again.
Scheme 2
Schematic Illustrating the Energy Band Structure of the Developed
CuO/ZnO Nanostructure, before and after H2S Gas Sensing
Also, from BET, it has been validated that the CuO/ZnO sample with
optimum Cu doping (sample ZC2) has a larger surface area. Therefore,
it possesses more surface adsorption sites and better gas diffusion
as compared with the pristine one, which facilitated an enhanced sensing
performance.Notably, considerable performance difference was observed between
pristine and Cu-dopedZnO nanocomposites. Two targets in one bullet
were achieved by proper doping of Cu in the ZnO matrix. Not only sensor
response was improved (from 76.66 to 94.28%) but also the operating
temperature reduced (from 300 to 250 °C). The optimized doping
of Cu was found to be 2.5 mol % in the ZnO matrix (Sample ZC2), which
showed proper phase formation (as seen in XRD signatures) and the
highest surface area favoring the effective diffusion and acceleration
of a target gas. Figure d shows the sensor response as a function of H2S concentration.
In the initial stage (upto 20 ppm), the sensitivity rapidly increased
with a greater slope. With further increase in the H2S
concentration, the sensitivity increased more or less with saturation.
Such a behavior is obvious because of the loss of surface active sites
for the interaction with gas molecules.Figure a highlights
the transient response curve of pristine and doped ZnO samples (Zn,
ZC2, ZC5, and GO_ZC2), where almost the U shape is obtained for best
optimized samples, ZC2 and GO_ZC2. It directs the obtained sensing
material as the best candidate for H2S sensing, with quick
response of 23 s for 25 ppm of H2S. Finally, the optimized
sample GO_ZC2 was tested for its stability over the period of 12 weeks
(Figure b). It has
been observed that the sample showed almost 95% of its initial sensitivity,
confirming the suitability of the developed material for commercial
applications as the H2S sensor.
Figure 6
Gas sensing performance of the developed sensors, (a) transient
response, and (b) stability over the period of 12 weeks.
pan class="Gene">Gas sensing performance of the developed sensors, (a) transient
resn>an class="Chemical">ponse, and (b) stability over the period of 12 weeks.
Conclusions
In conclusion, we have developed a simple synthesis strategy of
fabricating a CuO/ZnOp–n heterojunction by a microwave-epoxide
assisted sol–gel process for the first time and thereby its
proficiency toward H2Sgas-sensing application. The versatile
method utilizes inexpensive precursors (metal salts) in aqueous solution
with PO as the gelation agent. Its inherent simplicity made it feasible
to fabricate virtually any type of mixed-metal oxide nanocomposites
with ease. The developed nanocomposites (CuO/ZnO) exhibited smaller
crystallite size (18 nm) with a larger surface area (34.71 m2/g), proving their proficiency toward gas–solid interactions.
The rounded grains (usually seen in the sol–gel process) with
the 3D network structure yielded copious channels for gas diffusion.
Elemental mapping highlights the good dispersion of Cu in the ZnO
matrix. Upon employing these nanocomposites as gas sensors, they demonstrated
high sensitivity and selectivity to H2Sgas. The sensor
response was improved from 76.66 to 94.28%, with reduction in the
operating temperature from 300 to 250 °C. The 2.5 mol % doping
of Cu in ZnO was found to impart a quick response of 23 s for 25 ppm
of H2S. GO loading in the abovementioned optimized Cu-dopedZnO resulted in almost 95% retention of its initial sensitivity, even
after 12 weeks of shelf life. The reported approach of fabricating
the gas sensor is easily reproducible and cost effective, thus offering
great promise for future industrial application of H2Sgas sensors.
Experimental Section
The chemicals used in a typical synthesis were zinc nitrate hexahydrate
(Zn(NO3)2·6H2O), coppernitrate
trihydrate (Cu(NO3)2·3H2O),
GO, PO, and hexadecytrymethylammoniumbromide (CTAB). All reactants
were reagent grade quality obtained from Sigma-Aldrich and were used
as received. Double distilled water (DW) was used for the complete
synthesis process. Scheme below contains a simplified schematic illustrating the complete
experimental process (Scheme a), along with the preparation of the various sample groups
discussed in this work (Scheme b).
Scheme 3
Schematic Illustrating (a) the Complete Synthesis Process, and (b)
Various Samples Prepared in This Study
In part-i, pristine ZnO was prepn>ared by dissolving Zn(NO3)2·6H2O (5.35 g, 18 mmol) in 30 mL of
DW, followed by the slow and dropwise addition of PO (8.3 g, 143.10
mmol). This mode of addition of PO is preferred because rapid addition
results in significant heat evolution given the exothermic nature
of the reaction. Dropwise addition of the given amounts of PO always
results in the formation of a stable sol without noticeable warming
of the reaction mixture. One should be aware of the reactivity and
moderate toxicity of PO and take appropriate safety precautions. Reactions
involving metal salts and PO can be quite exothermic and often lead
to a rapid warming up of the reaction mixture. After 15 min of PO
addition, 20 mL of ethanol, followed by surfactant solution (CTAB
1 gm + 30 mL DW) were added up on constant stirring. The purpose of
using CTAB is to control the nanoparticle size and shape by selectively
or more strongly binding to the emerging crystal facets. CTAB is a
quaternary ammonium surfactant play a key role in nanoparticle synthesis
by adsorbing to the surface of the forming nanoparticle and lowering
its surface energy, thereby preventing their aggregation.In part-ii, pan class="Chemical">Cu-doped n>an class="Chemical">zinc oxide was prepared by replacing an amount
of zinc nitrate corresponding to 0–10% molar fraction (doping
level) of copper. The total quantity of Zn and Cunitrates used always
added to 0.6 M. Otherwise, the procedure was identical to the one
used in part-i. Finally, in part-iii, the addition of GO in the best
optimized Cu-dopedZnO sample was carried out. The purpose of loading
GO is to enhance the surface area and electrical conductivity, needed
for the better gas sensing property. Graphene is a promising gas-sensing
material owing to its superb electronic mobility and high specific
surface area. Its conductive channels promotes a sort of catalytic
behavior (spill-over) required for the improved gas performance. Therefore
the best optimized sample was treated to GO loading for further enhancement
in the gas-sensing properties.
pan class="Chemical">GO (1 mg) was ultrasonicated in 10 mL n>an class="Chemical">DW and added to the slot
of the precursor solvent, which was made in 20 mL of DW so as to maintain
the concentration equilibrium of 30 mL DW as per earlier parts (i
& ii). Rest of the procedures were as described in the aforementioned
parts (i & ii).
All the obtained sols were treated to microwave hydrothermal process.
To do so, the respective sols were transferred to microwave free reaction
vessel autoclaves with Teflon liner, and placed inside the usual domestic
microwave unit (IFB-25SC4, with Microwave i/o power as 1400/900 W).
The main characteristic microwave parameters are power and time, which
needs to be adjusted carefully for attaining the desired subcritical
region of water for hydrothermal reaction. For such domestic microwave
systems, the reaction temperature and pressure in the autoclaves resulting
from microwave irradiation are difficult to measure from the microwave
power and exposure time alone. Therefore few trial-and-error experiments
were performed with the combination of microwave power and the reaction
time. The decent combination of them was found to be 40% power with
10 min time, where precipitate was formed under controlled temperature
and pressure without any spillage of reaction mixture. The obtained
precipitate was washed thoroughly with ample amount of water to get
rid of the used surfactant and unreacted moieties if any. The precipitate
was dried at 80 °C for 2 h and sintered at 400 °C for 2
h in air [see thermogravimetry–differential thermal analysis
(TG–DTA), S1]. Using screen printing
technique, the thick films of the respective samples were developed
on the alumina substrates, and sintered at 400 °C for 1 h in
air to remove the added binders from the thixotropic paste. The details
of thixotropic paste formation and thereby thick film formation are
described in the Supporting Information section (S2). The samples were labeled as “Zn”-for
pristine ZnO, “ZC1, ZC2, ZC3, ZC4, ZC5”-for Cu doped
ZnO (1.25, 2.5, 5, 7.5, 10 mol %, respectively), and GO_ZC2-for GO
loaded 2.5 mol % Cu doped ZnO.
Authors: Swati S Mehta; Digambar Y Nadargi; Mohaseen S Tamboli; Latika S Chaudhary; Pramod S Patil; Imtiaz S Mulla; Sharad S Suryavanshi Journal: Dalton Trans Date: 2018-12-04 Impact factor: 4.390
Authors: Xiao Liu; Baosheng Du; Ye Sun; Miao Yu; Yongqi Yin; Wei Tang; Chong Chen; Lei Sun; Bin Yang; Wenwu Cao; Michael N R Ashfold Journal: ACS Appl Mater Interfaces Date: 2016-06-15 Impact factor: 9.229