Zeyu Kang1, Hui Gao2, Zhongliang Hu1, Xiaodong Jia1, Dongsheng Wen1,2. 1. School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, U.K. 2. School of Aeronautic Science and Engineering, Beihang University, 100191 Beijing, P. R. China.
Abstract
We designed and synthesized a novel high efficiency Cr(VI) removal material using reduced graphene oxide (RGO) as a support with high specific surface area and a mixture of Fe and Ni nanoparticles (NPs) as a catalytic reducing agent. Such a design enables the composite particle to be integrated with three functions of adsorption, catalysis, and reduction, where RGO could enhance Cr(VI) adsorption, while Fe/Ni NPs increase the catalytic reducing efficiency. The application of a microchip mixer guaranteed a better mixing of GO and subsequent decoration of Fe and Ni NPs on RGO. Cr(VI) removal experiments with various materials are performed, and the results demonstrated that the Ni-Fe/RGO achieved an adsorption capacity of 150.45 mg/g at pH = 7 and 197.43 mg/g at pH = 5 for Cr(VI), which is higher than those of other reported materials at a pH of ∼7. To the best of our knowledge, this is the first example of Ni-Fe/RGO for efficient Cr(VI) removal by using the synergistic effects of increased adsorption, catalysis-assisted reduction, and enhanced mixing effect of a microchip mixer. This work also provides us with a simple and low-cost method for the fabrication of an effective Cr(VI) removal material.
We designed and synthesized a novel high efficiency Cr(VI) removal material using reduced graphene oxide (RGO) as a support with high specific surface area and a mixture of Fe and Ni nanoparticles (NPs) as a catalytic reducing agent. Such a design enables the composite particle to be integrated with three functions of adsorption, catalysis, and reduction, where RGO could enhance Cr(VI) adsorption, while Fe/Ni NPs increase the catalytic reducing efficiency. The application of a microchip mixer guaranteed a better mixing of GO and subsequent decoration of Fe and Ni NPs on RGO. Cr(VI) removal experiments with various materials are performed, and the results demonstrated that the Ni-Fe/RGO achieved an adsorption capacity of 150.45 mg/g at pH = 7 and 197.43 mg/g at pH = 5 for Cr(VI), which is higher than those of other reported materials at a pH of ∼7. To the best of our knowledge, this is the first example of Ni-Fe/RGO for efficient Cr(VI) removal by using the synergistic effects of increased adsorption, catalysis-assisted reduction, and enhanced mixing effect of a microchip mixer. This work also provides us with a simple and low-cost method for the fabrication of an effective Cr(VI) removal material.
General
increase of waste gas, water, and soil with the intensification
of human activities has resulted in serious environmental problems,
which in turn cause severe threats to humans.[1] Among those, heavy metal pollution has raised widespread attention
due to its bioaccumulation and nondegradability.[2,3] Chromium
(Cr) is one typical heavy metal contaminant, which is widely present
in the environment because it is extensively used in many industrial
processes such as metallurgical industry, chemical industry, refractory,
and cast iron.[4] Chromium exists in the
environment, mainly in the stable state of trivalent chromium [Cr(III)]
and hexavalent chromium [Cr(VI)]. Cr(III) is an essential element
for the human body, and its toxicity is relatively low. However, the
toxicity of Cr(VI) is about 100 times that of Cr(III),[5] showing much higher environmental and health risks. It
could penetrate the human circulation system via drinking water or
enrichment by the food chain and bring some detrimental effects to
humans.To solve the above mentioned problem, a lot of advanced
treatment
technologies have been applied for efficient Cr(VI) removal and remediation,
such as chemical precipitation,[6] ion exchange,[7] adsorption, membrane filtration, flotation,[8] and electrochemical treatment.[9] Among them, chemical precipitation is by far the most widely
used process for industrial wastewater processing,[10] owing to that it is cost-effective and straightforward
to operate. As an active metal with a standard redox potential (E0 = −0.44 V), zero-valent iron (ZVI)
has been proposed as a chemical precipitation agent to remove chromium
contaminants.[11−14] For example, Cr(VI) could be reduced by ZVI and form insoluble precipitates
Cr(OH)3 with much lower toxicity in a neutral or alkaline
environment. Notably, ZVI is nontoxic, inexpensive, and easy to produce,
which is good for large-scale applications in the industry. Hence,
different types of ZVI materials have been used for the removal of
chromium contaminants, including conventional micrometer-sized ZVI
and nanometer-sized ZVI (NZVI).For the evaluation of the chromium
removal ability of different
ZVI materials, Cr(VI) adsorption capacity (mg/g) is used to assess
their performance. Previous studies demonstrated that the environmental
pH matters the ZVI’s adsorption capacity of Cr(VI).[15−17] Because the main Cr(VI) species in water are Cr2O72 and HCrO4– at low
pH and CrO42– at high pH,[18] respectively. The electrostatic force and competition
between OH– and precipitation agents will lead to
a lower Cr(VI) adsorption capacity at a higher pH.[19] Hence, the pH value must be considered when comparing Cr(VI)
adsorption capacity. Conventional micrometer-sized ZVI presents the
ability of Cr(VI) removal, but a relatively low adsorption capacity
limits its application.[20] In contrast,
with a much higher specific surface area, NZVI shows a better Cr(VI)
removal potential.[15−17] Montesinos et al.[21] used
bare NZVI to remove Cr(VI) and obtained an adsorption capacity of
47.2 ± 0.1 mg/g at pH = 5 and 411 ± 24 mg/g at pH = 3, respectively.
The adsorption capacity of 60.03 mg/g at pH = 6.8 was found by Chen
et al.[22] and 10.06 mg/g at pH = 6.36 by
Ai et al.[23]These studies demonstrated
NZVI’s great potential as a Cr
removal agent; however, using pure NZVI still has its disadvantages.
It is poor in stability as a highly active material and may react
with surrounding media during the preparation and storage process.[24] The presence of large specific surface area
makes them prone to aggregate[25] and then
led to blocking troubles in water treatment, which will decrease the
adsorption capacity and produce secondary pollution.[26] Besides, the separation of NZVI from the treated solution
also presents a big challenge. Some researchers tried to solve these
problems through dispersion methods but did not get distinct improvement
for Cr species adsorption capacity. Zhou et al.[27] tried to use an ultrasonic device to optimize NZVI dispersion
property, and finally achieved an adsorption capacity of 66.7 mg/g
at pH = 5.5. Lv et al.[28] employed a mixture
of NZVI-Fe3O4 dispersion and enabled an adsorption
capacity of 29.43 mg/g at pH = 8. This very much limits the choice
and application of pure NZVI as a tool to remove Cr species.In order to solve the problem and increase Cr(VI) adsorption capacity,
a series of new NZVI-based materials have been investigated,[29−37] which can be classified into two types: bimetal materials and sorbent-supported
materials. For bimetal materials, iron is used as the primary metal,
and a transition metal such as palladium (Pd),[29] copper (Cu),[30] nickel (Ni),
or cerium (Ce) is used as another reduction or catalytic material.
For example, Chen et al.[31] composited Fe–Ce
bimetal oxide and obtained a maximum adsorption capacity of 75.36
mg/g at pH = 4. Wen et al.[32] reported a
Fe–Ce bimetal oxide with an adsorption capacity of 125.28 mg/g
at pH = 3. Fe–Ni bimetal synthesized in an ultrasound-assisted
system was proposed by Zhou et al.[33] and
demonstrated with an adsorption capacity of 67.6 mg/g at pH = 5. Such
bimetal material systems show better effects than that of the pure
NZVI system at similar pH conditions.[38] Despite the bimetal material having great advantages compared to
the pure NZVI system, there are some limitations for bimetal materials.
(I) As a powdered material, it tends to aggregate together, which
hugely affects the adsorption capacity. (II) The bimetal metal material
can only reduce heavy metal to a lower valence state, such as Cr(VI)
to Cr(III). The Cr(III) is not immobilized, and it can continue to
diffuse in the environment to generate secondary pollution. (III)
The NPs are hard to collect back in practical application, which will
increase the operating costs.For sorbent supporting materials,
the composites combine both functions
of reduction by NZVI and enhanced adsorption by other materials to
remove Cr(VI) from water. A series of adsorbent materials were employed
to support NZVI and investigated in detail. Shi et al.[34] synthesized bentonite-supported NZVI and obtained
an adsorption capacity of 7.3 mg/g at pH = 6. Fu et al.[35] prepared sepiolite-supported NZVI and got a
better adsorption capacity of 43.86 mg/g at pH = 6. Wang et al.[36] composited carboxymethyl cellulose-supported
NZVI and demonstrated its adsorption capacity of 33 mg/g at pH = 5.5.
Sharma et al.[37] studied cellulose-supported
NZVI at pH = 3, showing an adsorption capacity of 562.8 mg/g; they
found that, however, the exceptionally high adsorption capacity was
mainly contributed by the low pH environment.Reduced graphene
oxide (RGO) is a recently developed adsorbent
with a two-dimensional single atomic layer structure, which possesses
an extremely high specific surface area.[39] It has been reported that higher Cr(VI) adsorption capacity can
be obtained when using a graphene-related material as a base supporting
material, such as RGO and graphene oxide (GO). Jabeen et al.[40] synthesized graphene-NZVI and got an adsorption
capacity of 162 mg/g at pH = 4.25. Li et al.[41] found that graphene-NZVI’s adsorption capacity can reach
180.16 mg/g at pH = 5. Li et al.[42] confirmed
an adsorption capacity of 21.72 mg/g at pH = 7 for graphene-supported
NZVI. Lv et al.[43] decorated NZVI on magnetic
Fe3O4/graphene and observed an adsorption capacity
of 66.22 mg/g at pH = 8. Wang et al.[44] loaded
Fe3O4 on PEI-modified GO and found that its
adsorption capacity can change from around 250 to 50 mg/g when tuning
pH from 2 to 7. In addition, there have been some attempts to combine
the advantages of bimetal and sorption materials, but the results
were not satisfactory. Lu et al.[45] showed
that by using the Fe–Ni bimetal-decorated montmorillonite,
the adsorption capacity is only about 65 mg/g at pH = 3. This might
be due to the relatively low surface area (77.7 m2/g),
which is limited by the base material montmorillonite. Replacing the
base supporting material to that with a higher BET surface area may
be effective and useful. Although sorbent supporting materials overcome
some disadvantages of the bimetal material, most of sorbent supporting
materials with excellent selectivity is relatively complex and needs
more research studies on industry application.In this work,
we developed a new strategy of producing highly efficient
Cr(VI) removal material by combining three functions (i.e., adsorption,
catalysis, and reduction) into one: RGO is used to increase the specific
surface area to enhance the adsorption of Cr(VI); a mixture of Fe
and Ni NPs is applied to increase the catalytic reducing efficiency,
and a microchip mixer is utilized to better mix and decorate Fe and
Ni NPs on the RGO. A series of Cr(VI) removal experiments are carried
out and investigated their performance in detail. The results demonstrated
that a high adsorption capacity for Cr(VI) of such novel material
can be achieved at pH = 7.
Experimental Section
Materials and Instruments
Materials
GO is synthesized by
a modified Hummer’s method using graphite powder as a raw material.
FeCl3·6H2O and potassium dichromate (K2Cr4O7) were bought from SLS (Scientific
Laboratory Supplies), and nickel powder (APS 2.2–3.0 μm),
polyvinyl pyrrolidone (PVP), and chromium(III) chloride hexahydrate
(CrCl3) were purchased from Alfa Aesar. Sodium borohydride
(NaBH4) was bought from Fisher Scientific Ltd. 1,5-Diphenylcarbazide
(DPC) was purchased from Sigma-Aldrich. The chemicals are used as
received without further purification.
Instruments
Scanning electron microscopy
(SEM, SU8230, Hitachi) equipped with energy-dispersive X-ray spectroscopy
(EDS) is used to measure the sample’s morphology and elemental
information. Transmission electron microscopy (TEM, FEI Tecnai TF20)
is used to observe the RGO sheet structure and Fe–Ni bimetal
NP-loaded situation. Fourier-transform infrared (FTIR) spectroscopy
experiments are performed with a Thermo Scientific Nicolet iS10 FTIR
spectrometer (Thermo Scientific). BET surface areas are tested on
Tristar 3000 (Micromeritics). Ultraviolet–visible spectroscopy
(UV–vis) spectra of samples are recorded with a UV spectrophotometer
UV-1800 (Shimadzu). Sample size characterization is investigated by
dynamic light scattering (DLS) measurements using the Zetasizer Nano
ZS (Malvern). HAXPES UHV-XPS is used to confirm the existence and
the valence states of elements.
Preparation
of ZVI-NPS, Fe/RGO, and Fe–Ni/RGO
Composites
0.66 g of 30 wt % FeCl3·6H2O solution is added into 50 mL of deionized water under magnetic
stirring, forming FeCl3 solution. 0.04 g of GO and 1.0
g of PVP are added into the obtained FeCl3 solution and
stirred for 30 min. Then, 21.58 mg of nano-nickel powder is added
and stirred overnight. The nickel powder shall be surface oxidized
by the oxygen in the water. After that, 40 mL of 18.75 mg/mL NaBH4 is added dropwise into the system and stirred overnight.
NaBH4 worked as a reducing agent and is expected to reduce
Fe3+, GO, and nickel oxide to Fe NPs, RGO, and Ni NPs,
respectively. The RGO is used as the base material to support the
Fe/Ni bimetal. As H2 is produced during this step, careful
control is needed. The reaction equation is listed belowFor some samples, a micromixer
chip
(part number 3200401, Dolomite Centre Ltd) is used to replace the
magnetic stirring to enhance the mixing and dispersion of GO, Fe,
and Ni. The schematic diagram of the micromixer chip is shown in Figure
S1 (Supporting Information). The final
product is collected by vacuum filtration, washed with ethanol three
times, dried in a vacuum oven overnight, and then collected and stored
with nitrogen protection. A total of five samples are prepared for
the purpose of comparison, as given in Table .
Table 1
Detailed Reaction
Conditions of Different
Samples
sample no.
30 wt % FeCl3·6H2O (g)
GO (g)
Ni (mg)
PVP (g)
NaBH4 (g)
micromixer (yes/no)
sample 1
0.66
0.04
0.75
no
sample 2
0.66
0.04
1.00
0.75
no
sample 3
0.66
0.04
21.58
1.00
0.75
no
sample 4
0.66
0.04
1.00
0.75
yes
sample 5
0.66
0.04
21.58
1.00
0.75
yes
Results and Discussion
Particle Stability, Size,
Morphology, and
Elemental Analyses
Influence of Mixing Approach
on Composite
Particle Stability
Fe–Ni/RGO composites with the ability
to absorb/reduce Cr(VI) are synthesized as shown in Figure . Different mixing methods
are utilized in this study to prepare samples, that is, magnetic stirring
and micromixer chip. The sample solutions obtained by different approaches
show different colors and diaphaneity, as shown in Figure S2 (Supporting Information). The solution mixed by
the microchip shows high diaphaneity with yellow color, which means
that the GO is dispersed very well. In contrast, the solution processed
by magnetic stirring presents an opaque color, indicating the instability
and the presence of large GO agglomeration.
Figure 1
Schematic illustration
of the preparation process of the Fe–Ni/RGO
composite and its adsorption/reduction of Cr(VI).
Schematic illustration
of the preparation process of the Fe–Ni/RGO
composite and its adsorption/reduction of Cr(VI).
Particle Size Analysis
To determine
particle size distribution, 15 mg of the sample solution is added
into 50 mL of deionized water under sufficient stirring, and a centrifuge
is used to separate the sediments and liquid. The upper liquid is
tested by Zetasizer, Malvern. As a comparison, the Fe–Ni bimetal
is also tested under the same condition. Results are shown in Figure and Table . Samples 1–3 show two
peaks. It is due to the magnetic stirring process, which could not
disperse GO sheets well and some of them became agglomerated. Some
Ni or Fe NPs are not fixed onto the RGO surface, resulting in the
presence of the second peak around 150 nm. For the Fe–Ni bimetal
material without RGO, the aggregation results in the presence of the
peak around 400 nm.
Figure 2
(a) Particle size distribution measured by DLS and (b)
zeta potentials
of sample 5.
Table 2
Size Distribution
Determined by the
Intensity
peak 1
peak 2
size (d. nm)
% intensity
size (d. nm)
% intensity
sample 1
858.0
81.3
141.7
18.7
sample 2
840.7
94.7
166.9
5.3
sample 3
663.2
91.4
120.9
8.6
sample 4
783.4
100
sample 5
737.0
100
Fe–Ni bimetal
395.9
100
(a) Particle size distribution measured by DLS and (b)
zeta potentials
of sample 5.As a comparison, samples
4 and 5 produced by the microchannel mixing
show only one distribution peak, which means a nonpresence of loose
and free Ni and Fe NPs in the system. Because GO is well dispersed
in solution and may provide enough points for Ni and Fe NPs to fix
on, promoting the formation of an integral three-in-one composite.
The results demonstrated that the microchip has a much better mixing
and dispersing effect, so as to enable the prepared samples with better
properties. For sample 5, the zeta potential decreases from 6.24 to
−19.60 mV, and the pHZPC value is 5.34 mV.
Morphology and Elemental Analyses
The morphology and
structure of the NZVI/RGO are observed by SEM
and TEM, respectively. Figure a shows that sample 5 is unordered stacking with a two-dimensional
sheet structure; the size of the sheet is about 1 μm, which
is in good agreement with the DLS result. The thickness of the sheet
is less than 50 nm. The TEM images in Figure c show the RGO sheet has a length of the
side of about 1 μm, which is well consistent with the SEM results.
It also revealed that Fe–Ni NPs are well loaded on or connected
to the sheet surface with a size of about 20–50 nm. In Figure d, there are no obvious
lattice fringes in the high-resolution TEM (HRTEM) image. It indicates
that the Fe–Ni particles are amorphous. Because the sample
being synthesized by the liquid phase usually lends to a low degree
of crystallinity or amorphous.
Figure 3
(a) SEM, (b) EDS images, (c) TEM, and
(d) HRTEM of Sample 5.
(a) SEM, (b) EDS images, (c) TEM, and
(d) HRTEM of Sample 5.EDS is used to analyze
the elemental information of the sample.
The data for samples 2 and 5 are given in Figures S3 and 3b for comparison. Because nitrogen
protection is not used in the whole synthesis process, metallic particles
can be inevitably partially oxidized, leading to the presence of O
in the EDS map. For sample 2 (Figure S3), Fe and O element shows a similar distribution, which is different
from that of C, suggesting that most of the oxidation is associated
with Fe. However, a much uniform distribution of Fe and Ni is observed
for sample 5, Figure b. The use of a microchip, which has a better mixing effect than
traditional stirring, leads to a more uniform distribution of metallic
particles on RGO.Figure a shows
XRD patterns of samples 2–5. A noteworthy diffraction peak
is found at 26.7° for all the samples, which belongs to the (002)
diffraction of RGO.[46] The Fe–Ni–B
and Fe particles consist of a broad peak in the 2θ range of
40–50° and no crystalline peak is observed, revealing
an amorphous structure.[47] The result is
consistent with the HRTEM image result. The amorphous structure is
expected to enable samples with a higher BET surface area.
Figure 4
(a) XRD patterns
of samples 2–5 and (b) FTIR spectra of
samples 1–5.
(a) XRD patterns
of samples 2–5 and (b) FTIR spectra of
samples 1–5.FTIR spectra are also
tested for all the samples to characterize
the RGO, as shown in Figure b. For sample 1, the peak at 1495 cm–1 shows
that the C=C skeletal vibration of the unoxidized graphitic,
of which the C=C has not been reduced to C–H. Absorption
bands related to the oxygenated functional groups dominate the FTIR
spectrum. At 1081 cm–1, the alkoxy C–O–C
stretching vibration is observed. Peaks at 1705 cm–1 belong to the C=O stretching vibration in carbonyl and carboxyl
moieties. The O–H stretching vibration in water is at 3673
cm–1. The spectrum shows there are some oxygenated
functional groups on it. As there is no surfactant added for sample
1, it may be because that the aggregation of iron and GO prevented
the NaBH4 from reducing GO. For samples 2, 3, and 4, there
is only a tiny peak, which suggests that nearly all the oxygenated
functional groups on GO are reduced. Samples 3 and 4 display a similar
result. For sample 5, the O–H stretching vibration in water
is at 3538 cm–1. C=C skeletal vibration of
the unoxidized graphitic (1654 cm–1) is observed.
It means that sample 5 is not entirely reduced, which is due to the
reoxidation in the air during the drying or storage process. Compared
with sample 1, the disappearance or significant decrease in the intensity
of C–O–C, C=C and C=O band in the spectra
of samples 2–5 is observed, indicating that the oxygen-containing
functional groups in the GO are effectively reduced. However, for
all the samples, there are still some oxygen-containing groups on
the RGO surface, making the reduced GO slightly negatively charged.
As the major Cr(VI) status is HCrO4– and
Cr2O72–, this shall slightly
decrease the adsorption capacity due to the electrostatic force.Figure a shows
the XPS spectra of sample 5 before and after the Cr(VI) adsorption
experiment. The main elements in sample 5 are C, O, Fe, and Ni. After
Cr(VI) adsorption experiment, a new peak appeared around 577.8 eV
along with the peaks for Cr, as shown in Figure b. This pick represents the Cr which exists
with Cr(III) hydroxide.[48] This confirmed
Cr(VI) is reduced to Cr(III) and adsorbed by the sample. In Figure c, before the Cr(VI)
adsorption experiment, the peak for Fe is around 706.2 eV, which represents
that Fe exists as Fe metal for zero-valent. After Cr(VI) adsorption
experiment, the pick left moved to around 711.3 eV, which belongs
to Fe2O3. This confirmed that Cr(VI) is reduced
by NZVI.
Figure 5
XPS spectra of sample 5 before and after the Cr(VI) adsorption
experiment: (a) wide scan, (b) high-resolution spectra of Cr, and
(c) high-resolution spectra of Fe.
XPS spectra of sample 5 before and after the Cr(VI) adsorption
experiment: (a) wide scan, (b) high-resolution spectra of Cr, and
(c) high-resolution spectra of Fe.
BET Surface Area Study
The specific
surface area of all samples is examined by a Micromeritics Tristar
3000. Results are given in Figure . The adsorption–desorption isotherm shows that
all samples present multilayer adsorption characteristics. The interaction
between the adsorbate molecules is stronger than that between the
adsorbate and the adsorbent. As the adsorption process progresses,
the adsorption appears self-accelerating. The BET specific surface
areas of samples 1–5 are calculated as 10.5805, 36.8913, 45.4295,
47.4177, and 119.0778 m2/g, respectively. Sample 1 is made
without any surfactant and showed the lowest BET surface area, which
thereby confirmed its low dispersion. With PVP as a surfactant, the
BET surface areas of samples 2 and 3 are increased significantly.
Though the surfactant can considerably reduce the interfacial tension
and improve the separation of particles, there is still some agglomeration
of RGO, Fe, and Ni, as confirmed by the zeta sizer results. Such agglomeration
may hinder the further increase of the surface area. Comparing samples
2 and 4 with samples 3 and 5, the key factor that affects their surface
area is the presence of nickel powder. Nickel powder increases the
composite’s BET surface area originating from its own high
BET surface area and combines with Fe to reduce the possible aggregation
of Fe. Meanwhile, samples with nickel powder added have smaller pore
width distribution. Sample 5 is dispersed by the microchip, where
GO is dispersed in solution very well and thus provides enough points
for Fe and Ni to decorate on. It has the highest BET surface area,
up to nearly 3 times compared to that produced by magnetic stirring.
Combining the FTIR results, sample 5 is much easier to be reoxidized
with a very high specific surface area compared to samples 1–4.
Figure 6
BET results
of samples: (a) N2 adsorption isotherms;
(b) pore size distribution data.
BET results
of samples: (a) N2 adsorption isotherms;
(b) pore size distribution data.
Cr(VI) Adsorption Capacity Analyses
UV–vis
spectroscopy is used to determine the Cr(VI) concentration
in a solution based on a validated calibration curve. DPC method is
used to measure the Cr(VI) concentration. DPC reacts in an acid medium
with chromium(VI) ions to give a violet solution, at λmax = 545 nm, the violet solution obtains a characteristic peak. DPC
solution is prepared in advance: 0.2 g of DPC is dissolved in 100
mL of acetone which contains 1 mL of 95% H2SO4(1 + 1).The calibration curve is obtained by measuring a series
of concentrations of Cr(VI) solutions reacting with DPC solution.
In detail, 23 mL of 0.008, 0.016, 0.020, 0.027, and 0.040 mmol/L Cr(VI)
solutions are prepared and, respectively, react with 2 mL of DPC solution.
Then, the UV–vis absorption is examined after 5 min at λmax = 545 nm. A linear relationship is shown in Figure b for Cr(VI) concentration.
That is, y = 37.191x – 0.0916
with R2 = 0.9999, where y stands for absorption
and x is the Cr(VI) concentration.
Figure 7
(a) UV–vis spectra
of solutions of Cr(VI) reaction with
DPC; (b) calibration curve line of Cr(VI) concentration (λ =
545 nm); (c) Cr(VI) adsorption capacity for sample 5 at different
pH values; and (d) Cr(VI) adsorption capacity with time and pseudo-second-order
kinetic model.
(a) UV–vis spectra
of solutions of Cr(VI) reaction with
DPC; (b) calibration curve line of Cr(VI) concentration (λ =
545 nm); (c) Cr(VI) adsorption capacity for sample 5 at different
pH values; and (d) Cr(VI) adsorption capacity with time and pseudo-second-order
kinetic model.20 mg of each sample is added
into 40 mL of 2 mmol/L Cr(VI) solution
with mechanical oscillation. 0.5 mL of solution is drawn every time
at the scheduled time and added into a bottle which includes 2 mL
of DPC solution and adds water to 25 mL. After 5 min, The UV absorption
spectra of the solution are recorded to determine the remaining Cr(VI)
concentration. In most of the cases, the absorption became stable
after 72 h (Table ). In the beginning, all Cr species are in the hexavalent form, the
adsorption capacity can be calculated by analyzing the remaining Cr(VI)
concentration. After 9 months, the Cr(VI) concentration still kept
stable, as shown in Table .
Table 3
Cr(VI) Concentration of Samples Deduced
for 72 h
pH
adsorption percentage
(%)
adsorption capacity (mg/g)
pure
iron
7.0
7.99
16.62
sample 1
7.0
10.67
22.19
sample 2
7.0
46.07
95.83
sample 3
7.0
60.89
126.65
sample 4
7.0
61.33
127.56
sample 5
7.0
72.33
150.45
sample 5
6.0
84.97
176.74
sample 5
5.0
94.92
197.43
It is evident that Fe decorated on RGO has a much higher adsorption
capacity than pure NZVI. That is due to the great adsorption ability
of RGO. Cr(VI) is adsorbed to the RGO surface, where Cr(VI) can be
more efficiently reduced locally by the decorated nano iron. By comparing
the results of samples 2 and 4 with samples 3 and 5, it is clear that
the addition of a small amount of Ni can naturally increase the adsorption
capacity for Cr(VI). This is attributed to the high catalytic performance
of Ni particles, which reduces the activation energy needed for the
Cr(VI) reduction. The use of the micromixer chip also increases the
reduction efficiency greatly as such a device can uniformly mix GO,
Fe, and Ni. Sample 5 shows the highest adsorption capacity due to
the combined effects of catalytic reaction and good mixing ability
of the micromixer chip.The pH is a key factor affecting Cr(VI)
adsorption. In practice,
wastewater has a pH ranging from 5 to 8. To reveal the pH affection
on Cr(VI) adsorption, Cr(VI) adsorption experiment for sample 5 is
tested at pH = 5, 6, and 7. Results are shown in Figure c. Consistent with previous
studies, lower pH is a benefit for Cr(VI) adsorption. A higher reaction
rate and adsorption capacity are realized in lower pH.The reusability
and stability of samples are also investigated.
The used samples are collected from the solution by filtration, dispersed
in water, and added excess NaBH4 to reduce Fe2O3 to ZVI. Then, after filtration and drying, the Cr(VI)
adsorption capacity for used samples under the same condition as new
samples is analyzed. Results are shown in Table . The low adsorption percentage and adsorption
capacity indicated that the reused samples nearly totally lost the
Cr(VI) reduction ability. Because the Cr(III) hydroxide is absorbed
by Fe–Ni/RGO after the first time adsorption, all possible
reduction points have been occupied by Cr(III) hydroxide which is
stable under NaBH4 and difficult to disperse back to the
solution. Though strong acid or strong base can simply dissolve Cr(III)
hydroxide from Fe–Ni/RGO, it could also destroy the components
of Fe–Ni/RGO. Hence, the samples cannot be reused easily, but
keep the possibility. Future research will be carried out to improve
the property of reusability.
Table 4
Sample Reusability
and Stability for
Cr(VI) Adsorption
sample 2
sample 3
sample 4
sample 5
Adsorption Percentage
For pH = 7.0
new sample
46.07%
60.89%
61.33%
72.33%
reused sample
2.78%
3.86%
3.32%
4.31%
after 9 months
45.85%
60.54%
61.25%
72.10%
Adsorption Capacity
(mg/g) For pH = 7.0
new sample
95.83
126.65
127.56
150.45
reused sample
5.79
8.02
6.91
8.96
after 9 months
95.36
125.92
127.39
149.97
To verification the stability of samples,
let samples stand in
the reaction solution for 9 months after the Cr(VI) adsorption experiment
and then characterized the Cr(VI) concentration in solution. Results
are shown in Table . The Cr(VI) adsorption percentage and adsorption capacity keeps
stable after 9 months. This is due to that the generated Cr(III) hydroxide
being absorbed by Fe–Ni/RGO is stable and difficult to disperse
back to the solution.Table shows a
comparison of the Cr(VI) adsorption capacity with NZVI-based materials
reported in the literature. As the initial concentration of Cr(VI),
the ratio between Cr(VI) and reductant can vary in the literature.
The best way to evaluate the material is adsorption capacity (mg/g)
under a similar pH. In practice, wastewater has a pH ranging from
5 to 8. Considering this fact, the proposed particles (sample 5) in
our study present the highest adsorption capacity, benefiting from
their extremely high BET surface area and uniform distribution of
Ni and Fe NPs on the RGO surface.
Table 5
Cr(VI) Adsorption
Capacity Reported
by the Literature
raw material
pH
adsorption capacity (mg/g)
references
NZVI
5.0
47.2
(21)
NZVI
6.0
62.4
(49)
NZVI
5.5
66.7
(27)
NZVI/rGO
4.25
162
(40)
NZVI/rGO
5.0
180.64
(41)
NZVI/rGO
7.0
21.72
(42)
Fe2O3/graphene
8
66.2
(43)
Fe–Ni/RGO
7.0
150.45
this work
Fe–Ni/RGO
6.0
176.74
this work
Fe–Ni/RGO
5.0
197.43
this work
To reveal the Cr(VI) adsorption
kinetics of samples 2–5,
adsorption capacity is characterized with different times, as shown
in Figure d. The adsorption
is initially fast because of lots of sites available at first, and
then, the adsorption speed slows down with prolonging the time and
reaches equilibrium after 72 h.The results are researched by
the pseudo-first-order kinetic model
and pseudo-second-order kinetic model.A linear form of the
pseudo-first-order kinetic model is given
asA linear form
of the pseudo-second-order kinetic model is given
aswhere qe and q (mg/g)
are the adsorption
capacity of Cr(VI) at equilibrium and t time (hour). K1 (g/mg/h) and K2 (g/mg/h) are pseudo-first-order kinetic model and pseudo-second-order
kinetic model rate constants, respectively.Table shows the
analysis results for the pseudo-first-order kinetic model and pseudo-second-order
kinetic model. Compared with the pseudo-first-order kinetic model,
the pseudo-second-order kinetic model got adjusted R2 more close to 1, which means that the pseudo-second-order
kinetic model is more suitable for the samples. This confirmed that
the adsorption process is not physical adsorption, but chemical adsorption.
Table 6
Pseudo-First-Order Kinetic Model and
Pseudo-Second-Order Kinetic Model Results
sample 2
sample 3
sample 4
sample 5
Pseudo-First-Order
Kinetic Model
qe (mg/g)
88.6785
117.3945
119.8971
144.8995
K1 (g/mg/h)
0.0640
0.1143
0.1956
0.3555
R2-adjusted
0.9731
0.9591
0.9086
0.9559
Pseudo-Second-Order
Kinetic Model
qe (mg/g)
100.9509
127.56231
127.30039
153.17131
K2 (g/mg/h)
0.0016
0.0026
0.0052
0.0084
R2-adjusted
0.9923
0.9828
0.9790
0.9926
Cr(VI)
Reduce Reaction Mechanism and Kinetic
Model
The large capacity of the new materials can be attributed
to several reasons. First, the RGO is synthesized by the GO reduction
method, and it is unavoidable that there is a small amount of the
oxygen-containing functional group left on RGO. The oxygen-containing
functional group can provide anchor points for Fe and Ni NPs and limit
the excessive growth of the NPs,[50] which
thereby increase the dispersion and stability of Fe and Ni. Second,
the located Fe and Ni NPs can prevent the aggregation of RGO via the
increase of the surface spacing of RGO. Third, RGO has an extremely
high specific surface area and a strong adsorption capacity for Cr(VI).
Once Cr(VI) is adsorbed on the RGO surface, the nanoscale ZVI will
transport electrons to Cr(VI) to reduce it to Cr(III). For the Ni–Fe
bimetal, nickel powder acts as a catalyzer for the redox reaction
between ZVI and Cr(VI).Schematically, the process is illustrated
in Figure . The main
reaction route for NZVI reducing Cr(VI) is the electron transfer from
Fe0() to Cr(VI)()[51]
Figure 8
Cr(VI) adsorption and reduction mechanism of
samples with RGO.
Cr(VI) adsorption and reduction mechanism of
samples with RGO.As , the generated Fe2+ will also
react with Cr(VI)[52]The electrons also transfer from Fe0 to Fe3+After adding Ni, due to the
catalytic action, the reaction activity
of Fe0 will be much higher than that without Ni.[53,54] The reaction mechanism is shown below:At this stage, XPS results indicate that the Cr(III) will
form
insoluble Cr(III) hydroxide and be absorbed by Fe–Ni/RGO. The
absorption is stable and Cr(III) will not be dissolved back in the
solution for a long time. The absorbed Cr(III) hydroxide will occupy
some surface area of Fe–Ni/RGO and lead a decrease of reaction
rate. Meanwhile, the Cr(III) hydroxide could cover up some unreacted
ZVI to reduce the final adsorption capacity.At low pH, the
major Cr(VI) status is HCrO4– and Cr2O72–.[18] The higher removal efficiency at low pH is attributed
to that the surface of the adsorbent becomes highly protonated and
positively charged. The adsorbent can attract HCrO4– and Cr2O72– via electrostatic force. With the increase of pH, less H+ and more OH– hugely affected the reaction rate
and equilibrium. Also, the adsorbent’s surface will be negatively
charged, which then highly decreases the adsorption capacity.The following results are considered:All electrons are moved initially from Fe species and
finally got by Cr species, it can be considered as Fe is the only
element capable of reducing Cr(VI)The
equation rate for the Cr(VI) reduction is first-order.The conversion ratio between Cr(VI) and Cr(III) is 1:1.Considering the reaction mechanism mentioned
above, a kinetic model
is proposed to describe the Cr(VI) removal; when the pH and temperature
are constant, the rate of Cr(VI) reduction by samples can be found
aswhere [Cr(VI)] is the hexavalent
chromium
concentration (mmol/L) at time t and k is its rate coefficient (L mmol–1 h–1), and [SC] represents the equivalent sample concentration at time t capable of reducing Cr(VI) (mmol L–1).Considering that Fe0 is oxidized during Cr(VI)
reduction,
the equivalent sample concentration on the surface of the samples
decreases during the reaction and can be calculated aswhere is the removal capacity of Cr(VI) per unit
gram of sample (mmol/g), which is obtained by the adsorption capacity
analysis experiment. [S] is the sample concentration (g/L), and , represents the initial
concentration of
[SC]. [Cr(VI)]0 is the initial hexavalent chromium concentration
(mmol/L). represents
the fraction of [SC] oxidized.Integrate the above eqs, results
inwhere k and are
the model constant parameters and t is the reaction
time (hour). The fitting result of the
kinetic model is shown below (Table and Figure ):
Table 7
The Kinetic Model
Results
sample 2
sample 3
sample 4
sample 5
K (h–1)
0.0798
0.1563
0.2807
0.5549
(mmol/g)
1.7392
2.2914
2.3445
2.8483
R2-adjusted
0.9822
0.9710
0.9507
0.9928
Figure 9
Kinetic model curve for samples 2–5.
The results show that
the kinetic model has high adjusted R2, which confirmed that the reaction mechanism
and model are reasonable for the reduction reaction. By comparing
the rate coefficient k between samples 2, 4 and samples
3, 5, it indicated the added Ni nearly doubled the rate coefficient
for both with and without microchip samples, which is due to the catalyst
effect of Ni. Also, from the model results, it indicated that after
microchip mixture and dispersion, the rate coefficient k can get hugely increased. Combine with the above morphology analyses,
that is because the microchip gives the sample more contact area among
Fe, Ni, and Cr(VI).Kinetic model curve for samples 2–5.
Conclusions
In summary, we constructed
a novel Ni–Fe/RGO composite for
the effective removal of Cr(VI) in an aqueous solution, where RGO
acts as an adsorbent, Ni as the catalysis, and Fe as the reducing
agent. Intensifying the mixing through a microchip leads to an improved
dispersion and further enhanced Cr(VI) adsorption capacity.The added Ni nearly doubled the BET
surface area compared
with samples without Ni. This is due to its own high BET surface area
and its combination with Fe NPs reduces the possible aggregation of
Fe NPs. The Cr(VI) adsorption capacity and rate coefficient are enhanced
with the catalyzation of Ni and higher BET surface area.The Ni–Fe/RGO composite exhibits the highest
Cr(VI) adsorption capacity of 150.45 mg/g at pH = 7 and 197.43 mg/g
at pH = 5. RGO supplied a mass of sites for Fe and Ni NPs to load
on, which promotes the dispersion of Fe and Ni NPs and prevents their
aggregation. Meanwhile, the loaded Fe and Ni NPs also prevent the
aggregation of RGO due to the increased surface spacing of RGO. The
synergistic effects enable the sample with a high BET surface area
and Cr(VI) adsorption capacity. The adsorption process fits the pseudo-second-order
kinetic model.The microchip presents
a better dispersal ability of
GO in solution than traditional magnetic stirring and thereby could
avoid the agglomeration of GO. Samples are demonstrated with enough
points to load the Fe–Ni bimetal, resulting in a much higher
Cr(VI) adsorption capacity and rate coefficient.Meanwhile, the materials are synthesized by a convenient
and cheap method without nitrogen protection compared with other reports.
Authors: Flávia Dos Santos Coelho; José Domingos Ardisson; Flávia C C Moura; Rochel M Lago; Enver Murad; José Domingos Fabris Journal: Chemosphere Date: 2007-12-03 Impact factor: 7.086