Aklilu Guale Bekru1, Lemma Teshome Tufa1,2, Osman Ahmed Zelekew3, Mahendra Goddati4, Jaebeom Lee4, Fedlu Kedir Sabir1. 1. Department of Applied Chemistry, Adama Science and Technology University, Adama 1888, Ethiopia. 2. Research Institute of Materials Chemistry, Chungnam National University, Daejeon 34134, Republic of Korea. 3. Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia. 4. Department of Chemistry, Chemistry Engineering and Applied Chemistry, Chungnam National University, Daejeon 34134, Republic of Korea.
Abstract
CuO-ZnO nanocomposites (NCs) were synthesized using an aqueous extract of Verbascum sinaiticum Benth. (GH) plant. X-ray diffraction (XRD), spectroscopic, and microscopic methods were used to explore the crystallinity, optical properties, morphology, and other features of the CuO-ZnO samples. Furthermore, catalytic performances were investigated for methylene blue (MB) degradation and 4-nitrophenol (4-NP) reduction. According to the results, CuO-ZnO NCs with 20 wt % CuO showed enhanced photocatalytic activity against MB dye with a 0.017 min-1 rate constant compared to 0.0027 min-1 for ZnO nanoparticles (NPs). Similarly, a ratio constant of 5.925 min-1 g-1 4-NP reductions was achieved with CuO-ZnO NCs. The results signified enhanced performance of CuO-ZnO NCs relative to ZnO NPs. The enhancement could be due to the synergy between ZnO and CuO, resulting in improved absorption of visible light and reduced electron-hole (e-/h+) recombination rate. In addition, variations in the CuO content affected the performance of the CuO-ZnO NCs. Thus, the CuO-ZnO NCs prepared using V. sinaiticum Benth. extract could make the material a desirable catalyst for the elimination of organic pollutants.
CuO-ZnO nanocomposites (NCs) were synthesized using an aqueous extract of Verbascum sinaiticum Benth. (GH) plant. X-ray diffraction (XRD), spectroscopic, and microscopic methods were used to explore the crystallinity, optical properties, morphology, and other features of the CuO-ZnO samples. Furthermore, catalytic performances were investigated for methylene blue (MB) degradation and 4-nitrophenol (4-NP) reduction. According to the results, CuO-ZnO NCs with 20 wt % CuO showed enhanced photocatalytic activity against MB dye with a 0.017 min-1 rate constant compared to 0.0027 min-1 for ZnO nanoparticles (NPs). Similarly, a ratio constant of 5.925 min-1 g-1 4-NP reductions was achieved with CuO-ZnO NCs. The results signified enhanced performance of CuO-ZnO NCs relative to ZnO NPs. The enhancement could be due to the synergy between ZnO and CuO, resulting in improved absorption of visible light and reduced electron-hole (e-/h+) recombination rate. In addition, variations in the CuO content affected the performance of the CuO-ZnO NCs. Thus, the CuO-ZnO NCs prepared using V. sinaiticum Benth. extract could make the material a desirable catalyst for the elimination of organic pollutants.
Freshwater is one of the
most vital resources needed for the well-being
of mankind. Nowadays, water pollution has become one of the challenges
our world faces, particularly due to toxic and carcinogenic[1,2] soluble organic pollutants released from industries such as textiles,[2,3] paper and pulp,[1,4] pharmaceuticals, and tanneries.[5] Thus, removing these pollutants before releasing
effluents into the environment is essential. Conventional wastewater
treatment techniques have limitations due to low efficiency, high
cost, or generation of secondary contaminants. Therefore, developing
eco-friendly, efficient, and low-cost materials and fabrication techniques
are necessary.[6] Currently, researchers
are exploring the use of nanostructured material-based catalysts as
alternatives to conventional techniques. The unique characteristics
of nanoscale materials have led to their use as catalysts for the
degradation of pollutants into benign compounds.[7,8] Recently,
nanostructured material-based photocatalysis has shown remarkable
development in the applications of water splitting,[9,10] dye
degradation,[11,12] and drug degradation.[13−16] Specifically, metal oxide-based nanostructure photocatalysis is
a promising approach for efficiently removing organic contaminants
from wastewater.As a result of their unique properties and
versatility, metal oxides
(ZnO, TiO2, WO3, CuO, Cu2O, Fe2O3, etc.) play a key role in catalysis.[17,18] ZnO is among the metal oxides that have been explored most for wastewater
treatment for its low cost, abundant availability, nontoxicity, and
favorable exciton binding energy.[19,20] However, wide
bandgap for visible light activation, fast e–/h+ recombination, and photocorrosion in aqueous media are drawbacks
limiting the practical application of pristine ZnO as photocatalyst.[7,19] Several properties have been demonstrated by coupling of ZnO with
low-bandgap p-type CuO semiconductors: (i) a p–n heterojunction
is formed, which reduces the e–/h+ recombination
rate;[21] (ii) narrow bandgaps are created,
which improve visible light harvesting;[22,23] and (iii)
improved reusability without significant performance loss.[24] Therefore, developing CuO–ZnO nanostructured
material is necessary to achieve this goal.CuO–ZnO NCs
can be fabricated by various methods including
precipitation,[25] sol–gel,[26] solvothermal,[27] electrospinning,[28] photodeposition,[29] microwave-assisted,[30] electrochemical,[31] thermal decomposition,[32] and spray pyrolysis.[33] Among these methods,
a microwave-assisted method has several benefits in comparison to
conventional heating methods, such as fast reactions, uniform particle
size distribution, high yield, and highly pure nanomaterials.[34] For CuO–ZnO NC synthesis, the majority
of the methods utilize a variety of precursors as well as other reagents.
A green chemistry approach, however, encourages the use of cheap,
environmentally benign chemical substances and waste-free methods
that eliminate chemical waste.[35] Plant
extracts provide biomolecules that are safe, green, cheap, and naturally
available.[36,37] Thus, biomolecules are the potential
alternative to harsh chemicals.[38] The biomolecules
found in the extracts play a crucial role as reducing agents, stabilizing
agents, or both, which in turn affect the properties and morphologies
of the resulting nanomaterials.[39,40] The nature of the biomolecules
greatly affects their interaction with the metal ions.[41] According to the previous reports,[42,43] biomolecule-based metal-oxide NP synthesis involves formation of
a biomolecule–metal ion complex, then a metal hydroxide complex,
and eventually metal-oxide nanoparticles.CuO–ZnO NCs
synthesis was reported using extracts of plants
like Clerodendrum infortunatum,[44]Melissa officinalis L.,[45]Vaccinium arctostaphylos L.,[46] and Ginkgo biloba.[47] This study involves preparing CuO–ZnO
NCs using GH extract. To our knowledge, there has not yet been a publication
on CuO–ZnO NC catalyst synthesized using GH. GH is a medicinal
plant and is abundantly available for use in nanoparticle synthesis.
As reported, aqueous extracts of GH leaves contain phytochemicals
that have significant reducing properties, such as polyphenols and
saponins, making GH a promising candidate for nanoparticle synthesis.[48,49] Besides, the polyphenols and saponins with other biomolecules present
in the extract can stabilize the nanoparticle formation and control
the morphology of the resulting nanostructure. Thus, the use of GH
extracts for CuO–ZnO NCs synthesis has valuable importance.The current work describes a green approach for CuO–ZnO
NC synthesis utilizing an aqueous extract of GH with an efficient,
low-cost, simple, and rapid MW-assisted method. Microscopy, spectroscopy,
and other methods were used to study the resulting samples. The catalytic
activity of CuO–ZnO NCs was also evaluated against MB degradation
and 4-NP reduction. For comparison purposes, the degradation performance
of ZnO was also evaluated. CuO–ZnO NCs prepared with the aid
of GH extract are anticipated to have enhanced catalytic reactions
due to improved response to visible light and reduced e–/h+ recombination rates.
Experimental Section
Chemicals and Reagents
Analytic-grade
reagents of copper acetate (Cu(CH3COO)2.H2O) (99%, UNI-CHEM), zinc acetate (Zn(CH3COO)2.2H2O) (99%, UNI-CHEM), sodium borohydride (NaBH4) (95%, SRL), sodium hydroxide (NaOH) (98%, Loba), and methylene
blue (C16H18ClN3S.3H2O)
(PJ) were used. Leaves of Verbascum sinaiticum Benth. were obtained from the Adama Science and Technology University
campus, Ethiopia. For the preparation of solution and washing activities,
deionized water (DW) was utilized throughout the experiment.
Extract Preparation
The leaves of
the V. sinaiticum Benth. plant (Figure S1) were collected, washed in distilled
water, air-dried, and then ground to powder using a grinder. Then,
10 g of GH powder and 100 mL of DW were mixed in a 1 L beaker and
then left to boil under magnetic stirring for 10 min. After cooling,
filtration was used to separate the extract, which was then stored
at 4 °C for use in the subsequent experiments.
Synthesis of the CuO–ZnO NCs
CuO–ZnO NCs were synthesized by the MW-assisted method using
Zn(CH3COO)2.2H2O, Cu(CH3COO)2·H2O, and GH leaf extract, following
the reported procedure.[46] Typically, 5.0
g of Zn(CH3COO)2·2H2O and 1.25
g of Cu(CH3COO)2.H2O were dissolved
in DW and heated at 75 °C under stirring. While it is being stirred,
50 mL of extract was slowly added to the solution. NaOH (20 wt %)
was used for adjusting the pH and then stirred for 20 min. Subsequently,
the mixture was MW-irradiated using a household oven (1000 W, Comet)
for 10 min at 50% power output. After purification with ample DW and
ethanol, the brown precipitate obtained was dried at 80 °C for
12 h. A pestle was used to hand-crush the resultant solid. Eventually,
calcination of the powder was conducted at 500 °C for 3 h using
a muffle furnace. The resulting product was a 20 wt % CuO content
sample.Similarly, other samples with CuO contents of 0% (ZnO),
10% (CuO–ZnO), 30% (CuO–ZnO), 50% (CuO–ZnO),
and 100% (CuO) by wt % were prepared using zinc acetate (6.25, 5.65,
4.25, 3.05, and 0 g) and copper acetate (0, 0.65, 1.9, 3, and 5.75
g), respectively. To each of these mixtures, 50 mL of extract was
added. The concentration of [Cu2+ + Zn2+] and
the total volume of the final solution were kept constant. The remaining
procedures were similar to that of the 20 wt % CuO. Scheme provides the schematic summary
of the CuO–ZnO NC synthesis.
Scheme 1
Schematic Diagram
of MW-Assisted CuO–ZnO NC Synthesis Using
GH
Characterizations
The crystallinity
and crystal phase of the obtained powder was probed by an X-ray diffraction
(XRD) instrument (XRD-7000S Shimadzu) with Cu Kα radiation.
The elemental composition on the surface was collected using an X-ray
photoelectron spectroscope (XPS, Thermo Scientific, Al Kα (hν = 1350 eV)). The surface morphology and elemental
mapping were measured by a field emission scanning electron microscope
(FESEM; HITACHI, S-4800) and a transmission electron microscope (TEM;
FEI Tecnai G2 F30). UV–visible spectral characterization of
the nanomaterials was performed using a UV–vis spectrophotometer
(JASCO V-670). The emission spectra were measured using a fluorescence
spectrophotometer (Agilent Cary Eclipse Fluorescence Spectrophotometer).
The surface area analysis was conducted using a Micromeritics ASAP
2420 (V2.09 J) instrument by N2 adsorption at 77 K. The
progress of degradation and reduction reactions was observed by a
UV–vis spectrophotometer (Azzota: SM-1600).
Photocatalytic Performance Test
The
photocatalytic efficiency of the CuO–ZnO NC sample was evaluated
against the MB degradation (with a 150 W halogen lamp). The reaction
suspension was prepared by mixing 120 mL of MB (10 ppm) and 20 mg
of catalyst. To assure homogeneous dispersion of the catalyst and
dye molecules, a 30-min sonication was used. Then, it was irradiated
by visible light while being magnetically stirred continuously. Every
15 min, a 4 mL of sample was taken and centrifuged to separate the
catalysts from the liquid before the absorbance measurement. After
photocatalytic degradation of MB, the absorbance of each sample was
measured. The percentage of photocatalytic degradation (D%) and rate of reaction were evaluated using eqs and 2, respectively.[11,50]where k represents rate constant,
and C0 and Ct are the dye (pollutant) concentrations before (or at time = 0 min)
and after illumination (or at time = t min), respectively.
Catalytic Reduction Test
To assess
the catalytic capability of CuO–ZnO, 4-NP was used as a test
nitroaromatic compound in the presence of NaBH4 as a reductant.
Typically, 40 mg of NaBH4 and 40 mg of catalyst were dispersed
in a 250 mL beaker containing 100 mL of 20 ppm 4-NP. The reduction
progress was tracked by a UV–vis spectrophotometer.[51] Every 3 min, 3 mL sample of the mixture was
withdrawn and its absorbance spectrum was then collected. Furthermore,
the rate of reduction was evaluated using eq .
Results and Discussion
The crystallinity
and crystal phase of the calcined samples were
investigated using the data from XRD measurements. XRD patterns of
CuO, ZnO, and CuO–ZnO samples are shown in Figure A. As displayed in the figure,
the XRD patterns of the ZnO sample at the 2θ values of 31.79,
34.45, 36.26, 47.58, 56.6, 62.88, 66.4, 67.98, and 69.11 were indexed
as (100), (002), (101), (102), (110), (103), (200), (112), and (201),
respectively, corresponding to the hexagonal ZnO phase (card no. 00-036-1451).
Similarly, the diffraction peaks of CuO sample obtained at the 2θ
values of 32.48, 35.62, 38.78, 48.94, 53.5, 58.29, 61.7, 65.9, 66.4,
68.08, and 72.46 indexed as (110), (11–1), (111), (20–2),
(020), (202), (11–3), (022), (31–1), (220), and (311)
planes, respectively, were assigned to the monoclinic CuO phase (card
no. 00-048-1548). Moreover, the diffraction peaks of CuO–ZnO
NCs observed at the 2θ values of 31.76, 34.4, 36.28, 47.58,
56.62, 62.84, 66.36, 67.98, and 69.14 matched with the ZnO phase and
those at the 2θ values of 35.54, 38.72, 48.74, 53.42, 58.33,
61.6 matched with the CuO phase, confirming the formation of CuO–ZnO.
The diffraction patterns of the composite do not contain peaks other
than CuO and ZnO, indicating that the prepared sample is free of impurities.[52] Following examination by high-resolution TEM,
the lattice fringes for ZnO–CuO were observed. Figure C,D displays the line intensity
profile for the selected lines in the inverse fast Fourier transform
(IFFT) image of the CuO–ZnO NC sample corresponding to the d-spacing average of 0.26 nm (Figure C) and 0.27 nm (Figure D). According to the results, 0.26 nm is
the interplanar spacing between the (002) plane of hexagonal ZnO (card
no. 000-036-1451), while 0.27 nm is the spacing between the (110)
plane of monoclinic CuO (card no. 00-048-1548) (Figure B–D). This result is very consistent
with the literature reports[29,53] and XRD analysis.
Figure 1
(A) XRD
pattern of ZnO, CuO, and CuO–ZnO, (B) lattice fringe
of CuO–ZnO NCs, (C, D) d-spacing average of
ZnO (1), and CuO (2) in CuO–ZnO NCs, (E) absorption spectra
of ZnO and CuO–ZnO, and (F) PL spectra of ZnO and CuO–ZnO
samples.
(A) XRD
pattern of ZnO, CuO, and CuO–ZnO, (B) lattice fringe
of CuO–ZnO NCs, (C, D) d-spacing average of
ZnO (1), and CuO (2) in CuO–ZnO NCs, (E) absorption spectra
of ZnO and CuO–ZnO, and (F) PL spectra of ZnO and CuO–ZnO
samples.The average crystallite size was determined using
Scherrer’s
formula (eq ) for the
first three intense peaks: (100), (002), and (101) for ZnO; (11–1),
(111), and (20–2) for CuO; and (100), (002), and (101) for
the CuO–ZnO NCs.[54] The calculated
average crystallite sizes were 22, 14, and 18 nm for ZnO, CuO, and
CuO–ZnO samples, respectively. The values obtained indicated
that the synthesized samples have crystallites in the nanosize range.
In view of the possibility that photocatalysts could be improved by
reducing the crystallites size, the nanosize range crystallites of
the synthesized CuO–ZnO samples make the materials an attractive
photocatalyst candidate.[55]where λ stands for the wavelength of
the incident X-ray, θ stands for the diffraction angle, and
β represents the peak width at half-maximum of its height corresponding
to the peak on the XRD pattern.The absorption spectra of ZnO
and CuO–ZnO in the UV–vis
range are given in Figure E. Both ZnO and CuO–ZnO NC samples absorb strongly
in the UV region (λmax = 374 nm), which is consistent
with previous works.[56,57] Portions of the absorption spectrum
fall in the visible range with the tail reaching 800 nm, which could
be attributed to the light scattering in the colloidal suspension.[56] In comparison to pristine ZnO NPs, the CuO–ZnO
sample showed a broader absorption spectrum over the range of 250–800
nm. The presence of CuO is responsible for a broader absorbance in
the visible region,[58] indicating enhanced
absorption capacity of the CuO–ZnO NCs in the visible light
range. The bandgap calculated from Tauc’s formula[12,33] was approximately 3.01 eV for ZnO and 2.74 eV for the CuO–ZnO
NCs (Figure S2). The result showed that
the bandgap of the CuO–ZnO NCs is lower than ZnO NPs alone.
The improved efficiency of visible light-harvesting capacity makes
CuO–ZnO NCs suitable candidates for photocatalytic applications.[59]The photoluminescence (PL) properties
of ZnO and CuO–ZnO
suspension in methanol are displayed in Figure F. When the samples are excited at 340 nm,
the PL spectra showed a strong emission band around 388 nm and relatively
weaker emission band around 463 nm, including a shoulder band around
418 nm. The strong narrow emission band around 388 nm was attributed
to the exciton recombination corresponding to the near band edge,[60] whereas the other peaks that appeared around
418 and 463 nm could be originated from the deep-level defects.[61] Since PL emission is induced when the photogenerated
e–/h+ recombine, the relatively lower
PL intensity of the CuO–ZnO NCs compared to ZnO NPs indicated
the decreased radiative recombination rate in the composite, which
could be attributed to the better e–/h+ separation and prolonged exciton lifetime.[60] Thus, coupling CuO and ZnO revealed a decreased rate of exciton
recombination with improved visible light absorption.[62]Figure A–C
illustrates SEM images of the synthesized catalysts using GH extract.
The micrograms indicated that ZnO and CuO were found in a cluster
of spherical-like NPs, while CuO–ZnO NCs were found in a plate-like
morphology. The morphology and crystal structure of the CuO–ZnO
sample was further evaluated by TEM analysis, as displayed in Figures D and S3. The results illustrated that the prepared
CuO–ZnO NCs possess plate-like nanostructures, supporting the
SEM analysis. Furthermore, the distribution of CuO and ZnO in CuO–ZnO
NCs was evaluated from EDS mapping images. The typical high-angle
annular dark-field scanning transmission electron microscopy (HAADF-STEM)
image and corresponding EDS mapping of CuO–ZnO NCs (Figure E,F) and Figure S4 demonstrated the even distribution
of O, Cu, and Zn elements throughout the CuO–ZnO sample.[63]
Figure 2
SEM images: ZnO (A), CuO (B), and CuO–ZnO (C);
(D) TEM image
of CuO–ZnO, (E) HAADF-STEM, (F) EDS layered mappings, and EDS
elemental mappings: zinc (Zn), copper (Cu), and oxygen (O).
SEM images: ZnO (A), CuO (B), and CuO–ZnO (C);
(D) TEM image
of CuO–ZnO, (E) HAADF-STEM, (F) EDS layered mappings, and EDS
elemental mappings: zinc (Zn), copper (Cu), and oxygen (O).XPS study was utilized for the survey of oxidation
states and compositions
of the CuO–ZnO sample surface. The resulting XPS spectrum of
the CuO–ZnO sample is presented in Figure . The peaks observed in the full survey spectrum
displayed in Figure A indicate the presence of O, Cu, and Zn species. As shown in Figure B, XPS peaks at 1021.68
and 1044.77 eV were assigned to the Zn energy levels designated as
2p3/2 and 2p1/2, respectively.[64] Similarly, the peaks centered at 933.1 and 953.01 eV were
related to the 2p3/2 and 2p1/2 levels of Cu,
respectively (Figure C).[62] Satellite peaks appeared at the
upper energy sides, 942.96 and 940.68 eV for Cu 2p3/2 and
961.56 eV for Cu 2p1/2 (Figure C), confirming the existence of Cu in Cu2+ state, i.e., CuO.[65] Furthermore,
the peak located at 530.18 eV is attributed to the O 1s from the lattice
oxygen (O2–) bound to metals, and the shoulder peak
at 531.67 corresponds to the oxygen (O2–) in the
oxygen-deficient region indicating the presence of oxygen vacancy
(OV). Hence, the XPS study revealed the presence of CuO
and ZnO in the CuO–ZnO sample, which is consistent with the
results from XRD, HRTEM, and EDS elemental mapping studies.
Figure 3
XPS spectra
of CuO–ZnO NCs: (A) full survey, (B) Zn 2p,
(C) Cu 2p, and (D) O 1s.
XPS spectra
of CuO–ZnO NCs: (A) full survey, (B) Zn 2p,
(C) Cu 2p, and (D) O 1s.The adsorption–desorption isotherm of N2 for
the CuO–ZnO NC sample exhibited type IV isotherm having narrow
adsorption–desorption of H3-type hysteresis loops (Figure S6), indicating the presence of a mesoporous
structure.[66−68] The BET analysis indicated an approximate specific
surface area of 18.49 m2 g–1 in the P/P0 range of 0.05–0.3.
Similarly, a 23.78 nm adsorption average pore size was obtained from
the BET method. The corresponding distribution of the pore sizes from
the Barrett–Joyner–Halenda (BJH) method (inset of Figure S6) indicated that the textural porosity
of CuO–ZnO NCs falls under the mesoporous materials.The photocatalytic activities of CuO–ZnO NCs were tested
against MB degradation using visible light, and the corresponding
results are given in Figure . The UV–vis absorbance of MB showed a strong peak
at 664 nm.[47] In the presence of catalysts,
irradiating MB aqueous solution with visible light resulted in decreasing
absorbance with time, indicating photodegradation of the MB. More
specifically, the CuO–ZnO NCs showed improved photocatalytic
performance compared to the pristine ZnO NPs with an efficiency of
24% for ZnO and 82% for CuO–ZnO NCs, as shown in Figure A–D. The rate constant
(k) calculated from the linear fitted plots of ln(Ct/C0) vs time (Figure D)
was found to be 0.0027 and 0.017 min–1 for ZnO and
CuO–ZnO NCs, respectively. The enhanced performance could be
the result of coupling a p-type CuO with an n-type ZnO. Specifically,
the improved visible light absorption capacity of CuO–ZnO (from
UV–vis analysis), and the minimized rate of e–/h+ recombination (from PL analysis) are responsible for
the enhancement.[19]
Figure 4
(A, B) Photocatalytic
removal of MB using ZnO (A) and CuO–ZnO
(B), (C) plots of Ct/C0vs reaction time (min), and (D) plots
of ln(Ct/C0) vs reaction time (min) for MB degradation using
ZnO and CuO–ZnO.
(A, B) Photocatalytic
removal of MB using ZnO (A) and CuO–ZnO
(B), (C) plots of Ct/C0vs reaction time (min), and (D) plots
of ln(Ct/C0) vs reaction time (min) for MB degradation using
ZnO and CuO–ZnO.A study on how the CuO contents affect the activity
of the prepared
catalyst against MB was also conducted by varying CuO contents. The
results depicted in Figure A–C show the performance of 24, 65, 82, 75, and 76%
MB degradation for CuO wt % of 0, 10, 20, 30, and 50% samples of CuO–ZnO
NCs, respectively. The calculated rate constants were 0.0027, 0.0112,
0.0170, 0.0139, and 0.0144 min–1 for ZnO (0%), CuO–ZnO
(10%), CuO–ZnO (20%), CuO–ZnO (30%), and CuO–ZnO
(50%) contents of CuO, respectively (Figure D). While all CuO–ZnO samples showed
higher performance than the ZnO NPs alone, CuO–ZnO NCs with
20 wt % CuO displayed the highest performance. This implies that there
exists an optimum amount of CuO component in CuO–ZnO beyond
which photocatalytic activity diminishes.[69] As reported in previous studies, the decreased performance of CuO–ZnO
with increased CuO content beyond the optimum value could be explained
by the increased agglomeration of CuO that masks surface photoactive
sites or enhances the rate of e–/h+ recombination.[70]
Figure 5
Photocatalytic degradation of MB using CuO–ZnO
with different
CuO wt % (A) 10%, (B) 30%, (C) 50%, and (D) the effect of CuO wt %
content on the apparent rate constant CuO–ZnO for MB degradation.
Photocatalytic degradation of MB using CuO–ZnO
with different
CuO wt % (A) 10%, (B) 30%, (C) 50%, and (D) the effect of CuO wt %
content on the apparent rate constant CuO–ZnO for MB degradation.In general, the processes involved in photocatalysis
include absorption
of light, e–/h+ pairs generation and
separation, transfer of e–/h+ to the
active sites for a redox reaction, recombination of e–/h+, and adsorption/desorption of reactants/products.
Depending on the redox reaction between the charge carriers and the
adsorbed species or surrounding species, reactive oxygen species (ROS)
like hydroxyl radicals (•OH), superoxide anion radicals
(O2•–), singlet oxygen species
(1O2), and peroxide molecules (H2O2) may form.[7,8] These species have a
high tendency of oxidizing organic pollutants into less-toxic substances
or mineralize them into CO2, H2O, and others.In the case of CuO–ZnO NCs, light of appropriate energy
illumination generates exciton, where e– accumulate
in the conduction band (CB) and h+ in the valance band
(VB). Coupling CuO with ZnO semiconductor provides the band alignment
in which the e– in the CB of CuO are pushed to the
relatively less negative CB of ZnO. Thus, the h+ in the
VB oxidizes H2O/HO– (or organic pollutant
RH) resulting in HO• (or R•) depending
on the potential of the hole in the VB (eq ). Similarly, the e– in
the CB will be trapped by the dissolved oxygen and produce ROS that
finally degrades the pollutant (eq ).[47] Hence, the complete
degradation of MB ends up producing H2O, CO2, and other inorganic ions like NO3–, SO42–, and Cl–,
as shown in eq .[71]Table compares
the activities of this work to the earlier reports using ZnO-based
NCs against MB degradation under different experimental conditions.
Despite the different experimental conditions, the CuO–ZnO
NCs obtained using GH exhibited superior photocatalytic performance
compared to the previously reported literature values based on their
ratio constants (Table ). It degraded 82% of the initial MB amount within 105 min with a
rate constant of 0.017 min–1 or ratio constant of
0.85 min–1 g–1 (ratio of k to the mass of catalyst).
Table 1
Comparison of the CuO–ZnO Photocatalyst
Synthesized Using GH with Previously Reported ZnO-Based NCs for Photocatalytic
Degradation of MB
experimental
conditions
performance
catalyst
amount of catalyst (mg)
concentration of MB
light
rate const., k (min–1)
ratio
const., K (min–1 g–1)
ref
CuO–ZnO
25
10–3 M
vis
0.0235
0. 94
(20)
Cr2O3/ZnO
25
10 ppm (125 mL)
vis
0.015
0.6
(72)
ZnO/CuO
40
20 ppm
vis
0.022.3
0.56
(73)
CuO–ZnO
50
15 ppm (100 mL)
UV
0.01948
0.39
(74)
CuO–ZnO
20
20 ppm
vis
0.017
0.85
this work
Furthermore, the catalytic reduction activity of the
nanostructured
catalysts was also tested for 4-NP along with the strong reducing
agent NaBH4. Figure shows the progress of reduction and corresponding kinetics
in the presence of ZnO and CuO–ZnO catalysts. The aqueous solution
of 4-NP displayed an absorbance peak at 320 nm (Figure A). Upon NaBH4 addition, the peak
at 320 nm (from light yellow solution) disappeared, while a strong
peak around 405 nm (intense yellowish-orange solution) was observed,
indicating the formation of 4-nitrophenolate ion in alkaline media
(Figure A). The peak
at 405 nm showed no change in intensity over an hour. However, when
ZnO and CuO–ZnO were added, the peak intensity at 405 nm drops,
while a new peak at 300 nm emerges, confirming the 4-AP formation.
CuO–ZnO NCs showed strong catalytic efficiency with reaction
completion in less than 12 min (Figure B,C). On the other hand, ZnO showed insignificant change
in the 4-nitrophenolate ion (in 12 min), suggesting the lower catalytic
performance of ZnO than CuO–ZnO NCs against the reduction of
4-NP.
Figure 6
(A) Absorption spectrum of 4-NP with and without NaBH4, (B, C) reduction of 4-NP with NaBH4 in the presence
of catalysts: ZnO(B) and CuO–ZnO(C), and (D) plots of Ct/C0vs reaction time (min) (inset: plot of ln(Ct/C0) vst (min)) for 4-NP reduction kinetics.
(A) Absorption spectrum of 4-NP with and without NaBH4, (B, C) reduction of 4-NP with NaBH4 in the presence
of catalysts: ZnO(B) and CuO–ZnO(C), and (D) plots of Ct/C0vs reaction time (min) (inset: plot of ln(Ct/C0) vst (min)) for 4-NP reduction kinetics.The reduction kinetics of 4-NP with NaBH4 and catalysts
is shown in Figure D. The rate constants of the reduction reaction were obtained from
the linear fitted plot of ln(Ct/C0) vs time of reaction, as
depicted in Figure D (inset) applying eq . In this regard, the ratio constants (K) of 0.125
and 5.925 min–1 g–1 were obtained
for ZnO and CuO–ZnO nanocatalysts, respectively.[64]The reduction of 4-NP into 4-AP by NaBH4 is a thermodynamically
feasible reaction.[51] However, the rate
of reduction reaction is slow due to the kinetic barrier in the reaction
steps.[51] Catalysts allow the reaction to
take routes with relatively lower energy barriers leading to a faster
rate of reaction. Nanostructured catalysts were often used to accelerate
the reduction of 4-NP into 4-AP by NaBH4. The proposed
reaction mechanism for the conversion of 4-NP into 4-AP by NaBH4 along with CuO–ZnO NCs catalysts is given in Scheme . Generally, the
mechanisms involve processes such as adsorption/desorption and transfer
of electrons and protons. From the aqueous solution, BH4– and 4-NP
adsorb on the surface of the catalyst, where electron and proton transfers
take place. Electrons transfer from BH4– to the adsorbed 4-NP through
the CuO–ZnO catalyst leading to reduction.[75] Similarly, the protons transfer from the BH4– and aqueous
solution to the 4-NP, completing the reduction reaction.[76] The adsorption process and transfer of charged
species are facilitated by the built-in electric field of the p–n
heterojunction of CuO–ZnO.[51] After
completion of the redox reaction, the desorption step takes place,
as shown in Scheme .
Scheme 2
Presumed Catalytic Reaction Mechanism of 4-NP Reduction Using
CuO–ZnO
NCs as a Catalyst
The prepared CuO–ZnO NCs have shown good
recyclability up
to four cycles against the MB using visible light and 4-NP reduction
using NaBH4 (Figure S5).
Conclusions
CuO–ZnO NCs have
been prepared successfully using the MW-assisted
method with GH extract. The synthesized sample was characterized using
various techniques. The analysis indicated that crystalline CuO–ZnO
NCs with plate-like morphology were obtained. Similarly, the XRD patterns,
EDS elemental mappings, and XPS spectra confirmed that the composite
was composed of CuO and ZnO with uniform distribution. And also, the
UV–vis absorbance and PL analysis of the CuO–ZnO NCs
showed enhanced absorption in the visible range with a suppressed
recombination rate of e–/h+ compared
to the ZnO NPs. Furthermore, the prepared sample showed improved photocatalytic
degradation of MB and catalytic reduction of 4-NP with rate constants
of 0.017 and 0.237 min–1, respectively. Therefore,
CuO–ZnO NCs obtained using abundantly available GH extract
could be used for the remediation of water polluted by organic dyes.
Authors: Mujeeb Khan; Mohammed Rafi Shaik; Syed Farooq Adil; Shams Tabrez Khan; Abdulrahman Al-Warthan; Mohammed Rafiq H Siddiqui; Muhammad N Tahir; Wolfgang Tremel Journal: Dalton Trans Date: 2018-09-11 Impact factor: 4.390
Authors: Rusul Khaleel Ibrahim; Maan Hayyan; Mohammed Abdulhakim AlSaadi; Adeeb Hayyan; Shaliza Ibrahim Journal: Environ Sci Pollut Res Int Date: 2016-04-14 Impact factor: 4.223
Authors: Susan Azizi; Rosfarizan Mohamad; Azadeh Bahadoran; Saadi Bayat; Raha Abdul Rahim; Arbakariya Ariff; Wan Zuhainis Saad Journal: J Photochem Photobiol B Date: 2016-06-07 Impact factor: 6.252