Halim Lee1, Hyungwoo Lee2,3, Soyeon Ahn1, Jooyoun Kim1,4. 1. Department of Textiles, Merchandising and Fashion Design, Seoul National University, Seoul 08826, Republic of Korea. 2. Institute of Advanced Machines and Design, Seoul National University, Seoul 08826, Republic of Korea. 3. Division of Multiscale Mechanical Design, School of Mechanical and Aerospace Engineering, Seoul National University, Seoul 08826, Republic of Korea. 4. Research Institute of Human Ecology, Seoul National University, Seoul 08826, Republic of Korea.
Abstract
As rapid industrial growth spawns severe water contamination and a far-reaching impact on environmental safety, the development of a purification system is in high demand. Herein, a visible light-induced photocatalytic adsorbent membrane was developed by growing a porous metal-organic framework (MOF), MIL-100(Fe) crystals, onto electrospun polyacrylonitrile (PAN) nanofibers, and its purification capability by adsorption and the photocatalytic effect was investigated. As water-soluble organic foulants, a cationic dye, rhodamine B (RhB), and an anionic dye, methyl orange (MO), were employed, and the adsorption/desorption characteristics were analyzed. Since MIL-100(Fe) possesses positive charges in aqueous solution, MO was more rapidly adsorbed onto the MIL-100(Fe) grown PAN membrane (MIL-100(Fe)@PAN) than RhB. Under visible light, both photocatalytic degradation and adsorption occurred concurrently, facilitating the purification process. The reusability of MIL-100(Fe)@PAN as an adsorbent was explored by cyclic adsorption-desorption experiments. Density functional theory (DFT) calculations corroborated higher binding energy of charged MO over RhB and demonstrated the possible steric hindrance of RhB to adhere in MOF pores. The emphasis of the study lies in the combined investigation of the experimental approach and DFT calculations for the fundamental understanding of adsorption/desorption phenomena occurring in the purification process. This study provides theoretical support for the interaction between MOF-hybrid complexes and contaminants when MOF-hybridized composites adsorb or photodegrade water-soluble pollutants of different charges and sizes.
As rapid industrial growth spawns severe water contamination and a far-reaching impact on environmental safety, the development of a purification system is in high demand. Herein, a visible light-induced photocatalytic adsorbent membrane was developed by growing a porous metal-organic framework (MOF), MIL-100(Fe) crystals, onto electrospun polyacrylonitrile (PAN) nanofibers, and its purification capability by adsorption and the photocatalytic effect was investigated. As water-soluble organic foulants, a cationic dye, rhodamine B (RhB), and an anionic dye, methyl orange (MO), were employed, and the adsorption/desorption characteristics were analyzed. Since MIL-100(Fe) possesses positive charges in aqueous solution, MO was more rapidly adsorbed onto the MIL-100(Fe) grown PAN membrane (MIL-100(Fe)@PAN) than RhB. Under visible light, both photocatalytic degradation and adsorption occurred concurrently, facilitating the purification process. The reusability of MIL-100(Fe)@PAN as an adsorbent was explored by cyclic adsorption-desorption experiments. Density functional theory (DFT) calculations corroborated higher binding energy of charged MO over RhB and demonstrated the possible steric hindrance of RhB to adhere in MOF pores. The emphasis of the study lies in the combined investigation of the experimental approach and DFT calculations for the fundamental understanding of adsorption/desorption phenomena occurring in the purification process. This study provides theoretical support for the interaction between MOF-hybrid complexes and contaminants when MOF-hybridized composites adsorb or photodegrade water-soluble pollutants of different charges and sizes.
Industrial
and daily chemicals produced from dyes, detergents,
pharmaceuticals, and personal care products cause severe water contamination,
posing a serious threat to public health.[1] As water use increases rapidly and clean water becomes scarce, it
is of great interest to properly treat and recycle wastewater. In
this regard, the development of effective water purification technology
is in high demand. Among various wastewater treatment methods, adsorption
is one of the most convenient and effective strategies for removing
organic pollutants in wastewater.[2,3] Porous materials
such as activated carbon and zeolite are used as common adsorbents
with their high porosity and surface area.[4] In this method, the used adsorbents are to be disposed of as hazardous
waste when the adsorption site is saturated with adsorbates. Another
purification strategy is to employ photocatalytic degradation,[5] in which a photocatalyst is excited by the light-induced
energy higher than its band gap to generate electrons and holes. These
electron–hole pairs produce reactive oxygen species (ROS) that
drive redox reactions to decompose pollutants. Photocatalysts such
as titanium dioxide and zinc oxide are commonly used as effective
photocatalysts, but these photocatalysts require UV irradiation to
overcome the band gap, restraining the effective redox process under
visible light.[6,7] Nonetheless, photocatalytic degradation
is considered an efficient decontamination strategy beyond the limitation
of adsorption capacity.[8]Rather recently,
metal–organic frameworks (MOFs), composed
of metal clusters and organic linkers, have drawn great attention
as next-generation adsorbents with a highly porous structure and the
semiconductor-like behavior that leads to photocatalysis.[9,10] MOFs produce ROS upon light irradiation, and these ROS such as •OH, H2O2, and O2•– are responsible for the degradation of organic
compounds.[11,12] In addition, the high specific
surface area with a large pore volume and diversified functional groups
make MOFs promising adsorbents in many applications.[13] Among the various types of MOFs, MIL-100(Fe) is a good
candidate for application in wastewater treatment, due to its low
toxicity, water stability, and Fenton-like photocatalytic activity.[14−17] In particular, the low band gap energy of MIL-100(Fe), ∼2.17
eV, makes it easier to produce ROS under visible light.[18] On the other hand, a low band gap can be a disadvantage
in that the produced electrons and holes can readily recombine, failing
the effective generation of ROS and hindering the photocatalytic efficiency.
To overcome this problem, a strong oxidant or electron acceptor, such
as H2O2, can be used to prevent rapid recombination.[19,20] The photocatalytic ability not only allows the continuous degradation
of pollutants at the MOF interface but also helps the degradation
of adsorbates already captured on MOF. With the dual function of MOF
as a high-capacity adsorbent and photocatalytic agent, its application
in efficient wastewater treatment is highly anticipated.To
date, varied types of MOF-hybridized composites have been investigated
for their applications in fields with various functions, such as gas
adsorption,[21,22] sterilization,[23,24] and photocatalytic activity.[25,26] However, the research
studies based on MOF-hybridized composites are mostly focused on exploring
the conditions under which the maximum photodegradation and adsorption
were achieved, rather than analyzing the individual contribution to
the total removal capability.[26−28] Also, the findings from previous
studies on the effect of environmental conditions (pH, contaminant
types, etc.) on the adsorption efficiency are very useful, yet practically,
we have limited control over the environmental conditions to attain
the maximum efficiency. Generally, MOFs are anticipated to be selective
toward charges and sizes of foulants, and the removal efficiency and
rate would be dependent on the interactions based on those foulant
characteristics. Thus, it seems to be fundamentally necessary to investigate
the interaction between the foulants and the adsorbents for developing
a practical and economical adsorbent, and this is one of the specific
aims of this study. Also, we aim at evaluating the contribution of
adsorption to the overall foulant removal that is attributed to both
adsorption and photodegradation and assessing the effective removal
mechanisms depending on the foulant types.Herein, a MIL-100(Fe)-hybridized
polyacrylonitrile (PAN) nanofiber
composite membrane (MIL-100(Fe)@PAN) was fabricated to grant dual
function of adsorption and visible light-driven photocatalytic activity
for the efficient removal of water-soluble dyes. The adsorption capacity
and kinetics of MIL-100(Fe)@PAN were investigated for both a cationic
dye, rhodamine B (RhB), and an anionic dye, methyl orange (MO), and
its cyclic usability was probed by the repeated adsorption/desorption
experiments. In addition, molecular interactions between MOF and dyes
were systemically investigated using DFT calculations. The ground-state
structures, electrostatic potential, and adsorption enthalpies of
the molecules were obtained considering their spin configurations.
The calculated binding energy between the dye adsorbates and MIL-100(Fe)
was associated with the adsorption/desorption phenomena. Also, the
purification performance by the concurrent action of photodegradation
and adsorption was investigated. This study employs a novel approach
of combined investigation of experiments and DFT calculation, to reveal
the molecular interactions between the adsorbent and adsorbate. The
calculation of binding energy revealed the interactions of MIL-100(Fe)
and foulants at the atomic level during the adsorption/desorption
processes, and the reusability experimental results were explained
by the findings from the DFT analysis. This study is significant in
providing an informative discussion on the contribution of adsorption
and photocatalytic activity, and it intends to give a practical value
in developing photocatalytic adsorbent materials.
Experimental Section
Materials
Trimesic
acid (H3BTC) and PAN (Mw 150,000)
were purchased
from Sigma-Aldrich. Iron(III) chloride hexahydrate (FeCl3·6H2O) was obtained from Fuji, Japan. Ethanol (99.9%), N,N-dimethylformamide (DMF, 99.5%), and
rhodamine B (RhB) were supplied by SCI Seoul Chemicals, Korea. Methyl
orange (MO) was obtained from Daejung Chemicals, Korea. Isopropanol
(IPA) and 1,4-benzoquinone (BQ) were purchased from Daejung Chemicals,
Korea. Ammonium oxalate monohydrate (AO) was purchased from Junsei
Chemical Co., Japan. All materials were of analytical grade and used
without further treatment.
Preparation of MIL-100(Fe)
Powder and MIL-100(Fe)@PAN
Hydrothermal synthesis of MIL-100(Fe)
was conducted as shown in Figure a. PAN powder (1.0
g) was dissolved in 10 mL of DMF. Then, 0.1 g of H3BTC
was added in sequence and finally, a pre-spinning PAN solution was
stirred at 70 °C for 12 h. The dynamic viscosity of the solution
at the varied shear rates is given in Figure S1, and the conductivity of the solution was 110.6 μs cm–1. The H3BTC-containing pre-spinning solution
was electrospun at the bias voltage of 18–19 kV and a flow
rate of 1 mL h–1. The solution was ejected onto
a rotating drum collector wrapped with aluminum foil at 200 rpm from
a distance of 15 cm. The collected electrospun composite web was dried
at 60 °C for 24 h. The electrospinning process parameters were
accustomed to producing bead-free nanofibers in the consistent size
range for the respective fibers. Electrospinning was conducted at
a temperature of 25 ± 2 °C and a relative humidity of 50
± 3% RH.
Figure 1
Characterization of MIL-100(Fe)@PAN. (a) Schematic illustration
of the synthesis procedure of the MIL-100(Fe)@PAN composite. (b, c)
Scanning electron microscopy (SEM) and transmission electron microscopy
(TEM) images of the membrane surface and energy-dispersive spectrometry
(EDS) mapping of MIL-100(Fe)@PAN with (d) nitrogen (N) and (e) iron
(Fe) ions. (f) X-ray diffraction (XRD) peaks of PAN, MIL-100(Fe),
and MIL-100(Fe)@PAN. (g) N2 adsorption and desorption graphs
of MIL-100(Fe). (h) Tauc plot of MIL-100(Fe).
Characterization of MIL-100(Fe)@PAN. (a) Schematic illustration
of the synthesis procedure of the MIL-100(Fe)@PAN composite. (b, c)
Scanning electron microscopy (SEM) and transmission electron microscopy
(TEM) images of the membrane surface and energy-dispersive spectrometry
(EDS) mapping of MIL-100(Fe)@PAN with (d) nitrogen (N) and (e) iron
(Fe) ions. (f) X-ray diffraction (XRD) peaks of PAN, MIL-100(Fe),
and MIL-100(Fe)@PAN. (g) N2 adsorption and desorption graphs
of MIL-100(Fe). (h) Tauc plot of MIL-100(Fe).After electrospinning PAN, MIL-100(Fe)@PAN was synthesized by hydrothermal
synthesis. The dried 400–450 mg of nanofiber membrane was placed
in a Teflon-lined stainless-steel autoclave with the prepared solution.
The solution was mixed with 30 mmol of iron(III) chloride hexahydrate,
20 mmol of trimesic acid, and 60 mL of distilled water. The autoclave
was kept at 140 °C for 14 h. When the hydrothermal process ended,
the membrane was rinsed with ethanol at 60 °C for 12 h, then
dried for 24 h in a vacuum oven (LVO2051P, Daihan Labtech). Pure MIL-100(Fe)
powder was synthesized with the same hydrothermal process without
the nanofiber membrane. The collected powder was rinsed with ethanol
and distilled water several times, then kept at 60 °C for 24
h.
Characterization
The morphology of
MIL-100(Fe) powder and MIL-100(Fe)@PAN was characterized by field
emission scanning electron microscopy (FE-SEM, MERLIN Compact, ZEISS).
The particle and fiber sizes were measured from SEM images using Image
J software (NIH). The elemental composition of MIL-100(Fe)@PAN was
analyzed by energy-dispersive spectroscopy (EDS, NORAN system 7, Thermo
Scientific). Energy-filtering transmission electron microscopy (EF-TEM,
LIBRA 120, ZEISS) was used to observe the morphology of MIL-100(Fe)@PAN.
The conductivity of the pre-spinning solution was examined using a
conductivity meter (HC9021, Trans Instruments) and viscosity was evaluated
using a rheometer (Advanced Rheometric Expansion System, Rheometric
Scientific). Chemical composition was analyzed by Fourier transform
infrared (FT-IR, TENSOR27, Bruker) spectra. X-ray diffraction (XRD)
analysis was performed on an X-ray diffractometer (D8 Advance, Bruker)
using Cu Kα (λ = 1.540562 Å, 40 kV, 40 mA) as the
X-ray source, at a scanning rate of 0.4° s–1 in the range from 3 to 20°. The X-ray diffraction pattern was
analyzed using DIFFRAC.SUITE software. Brunauer–Emmet–Teller
(BET) measurement was conducted in N2 at 77 K (Tristar
II 3020, Micromeritics). Diffuse reflectance spectra were recorded
using a spectrophotometer (CM 2600d, Konica Minolta) followed by SpectraMagic
NX color software. The Tauc plot was obtained from the Kubelka–Munk
function, F(R∞), following eqs and 2where is the reflectance
of the specimen, K is the absorption coefficient, S is the
scattering coefficient, h is the Plank constant,
ν is the photon’s frequency, Eg is the band gap energy, and B is a constant. γ
depends on the nature of the electron transition and a γ value
of 0.5 for the direct transition was used in this experiment.[29]Thermogravimetric analysis (TGA, Discovery
TGA, TA Instruments) was carried out under air at a heating rate of
10 °C min–1 up to 800 °C. The Zeta potential
of MIL-100(Fe) was measured using an electrophoretic light scattering
spectrophotometer (ELS Z-1000, Otsuka Portal) at pH 7. The stress–strain
behavior of the sample was evaluated using a universal testing machine
(model 5 ST, Tinius Olsen).
Dye Adsorption Kinetics
of MIL-100(Fe)@PAN
Adsorption of RhB and MO dyes was evaluated,
immersing the 3 cm
× 3 cm sample of MIL-100(Fe)@PAN (mass of 0.0616 ± 0.0147
g) in 50 mL of aqueous dye solution at pH 7 with stirring. The concentration
of the dye was examined by measuring the absorbance at a λmax value of 553 nm for RhB and 505 nm for MO using a multi-mode
microplate reader (Synergy H1, BioTek). Adsorption of RhB and MO per
unit mass of MIL-100(Fe)@PAN at equilibrium, Qe (mg g–1) was obtained by eq where C0 (mg L–1) and Ce (mg L–1) are the concentrations of
the dye at the initial and the equilibrium
states, respectively. V (L) is the volume of dye
solution, and m (g) is the mass of MIL-100(Fe)@PAN
used. All adsorption tests were performed in the dark to exclude the
effect of photodegradation.
Photodegradation Performance
of MIL-100(Fe)@PAN
The photocatalytic activity of the MIL-100(Fe)@PAN
sample (3 cm
× 3 cm) to degrade dyes was evaluated in a 50 mL of 20 mg L–1 aqueous dye solution. To facilitate Fenton activity,
1 mL of H2O2 was added to the solution and the
light (F20T12/65 6500K lamp, GretagMacbeth) was turned on.[30] The solution was continuously stirred during
the test for a homogeneous reaction. Three control tests were included:
(1) PAN membrane under light, (2) MIL-100(Fe)@PAN under dark, and
(3) H2O2 addition without membrane under light.
The photocatalytic efficiency was evaluated by eq where C0 is the
initial dye concentration and Cpt is the
dye concentrations at time t with photocatalytic
reaction progressed upon light irradiation.
Recyclability
of MIL-100(Fe)@PAN
After the adsorption experiment at the
initial dye concentration
of 5 mg L–1, the MIL-100(Fe)@PAN was immersed in
50 mL of ethanol at room temperature (25 °C) and shaken in the
shaking water bath (LB-SW060, LKLAB Korea) at 100 rpm for 6 h, to
wash off the adsorbed dyes. Prior to the next cycle of the adsorption
test, the MIL-100(Fe)@PAN sample subjected to the washing procedure
was dried at 60 °C. The adsorption test was repeated in 50 mL
of 5 mg L–1 dye solution. To examine the performance
of repeated adsorptions, the adsorption and desorption cycle was repeated
five times, and the adsorption efficiency was evaluated by eq where C0 is the
initial dye concentration and C is the dye concentrations at time t with
the adsorption process in dark. The desorption efficiency was calculated
by eq : where Cde is the desorbed dye concentration and Cad is the adsorbed dye concentration.
DFT Analysis of Adsorption and Desorption
A computational
study was performed using the Gaussian 09 package[31] to describe the intermolecular interaction between
MIL-100(Fe) and dyes, RhB and MO. The gas-phase geometrics of all
molecules were optimized based on the B3LYP exchange-correlation functional
with 6-311+g(d,p) for C, O, H, Cl, S, and N atoms[32−34] and LANL3DZ
basis set for the Fe atom with an effective core potential.[35,36] Binding energy (BE) at 298 K for two distinct molecules is defined
by eq where EMOF, Edye, and Ecomplex are the ground-state energies of MOF,
dye, and their complex, respectively.Frequency calculations
based on the optimized geometries were conducted
to confirm the energy minimum of the system (no imaginary frequency)
and to obtain the zero-point correction for deriving enthalpies. Atomic
point charge distribution was investigated using ChelpG[37] to describe the computational results.
Results and Discussion
Synthesis of MIL-100(Fe)@PAN
To form
a uniform coating of MIL-100(Fe) particles on the electrospun fibers,
the organic linker was blended with the pre-spinning solution, presuming
that the linker compound from the electrospun fiber surface serves
as a nucleation site for MIL-100(Fe) growth (Figure a). Afterward, MIL-100(Fe) was grown onto
the linker-seeded PAN nanofibers via a hydrothermal process, which
accompanies the self-assembly of metals and organic ligands under
high pressure and heating conditions. From the SEM and TEM image of
MIL-100(Fe)@PAN (Figure b,c), a layer of octahedron-shaped MIL-100(Fe) crystals was formed
on each strand of fiber. The thickness of the MIL-100(Fe) layer was
measured to be ∼95 nm without the noticeable agglomeration
of crystals. The average fiber diameter of MIL-100(Fe)@PAN was 342
nm, and the mean size of MIL-100(Fe) crystals was about 71.0 nm (Figure S2). The SEM-EDS (Figure d,e) analysis confirms the uniform distribution
of the Fe element of MIL-100(Fe) across the composite surface. The
FT-IR spectra (Figure S3) and XRD peaks
(Figure f) indicate
the presence of MIL-100(Fe) crystals on the MIL-100(Fe)@PAN web. MIL-100(Fe)
powders and the MIL-100(Fe)@PAN membrane showed characteristic peaks
at 3.4, 3.9, 6.3, 10.2, and 11° corresponding to (220), (311),
(333), (842), and (422) planes of the MIL-100(Fe).[38−40]The band
gap was measured to be 2.17 eV from the Tauc plot in Figure h, and this band gap energy
is small enough to be excited under visible light. The mass ratio
(%) of MIL-100(Fe) from MIL-100(Fe)@PAN was estimated to be about
60.4% from TGA analysis, and the detailed calculation is shown in SI Section I and Figure S4. The BET N2 adsorption–desorption isotherms exhibited the typical type
IV isotherm with hysteresis, which indicated the presence of both
mesopores (2–5 nm) and micropores (up to 2 nm) in MIL-100(Fe)
(Figure g).[41] The BET surface area of MIL-100(Fe) was measured
to be 1357 m2 g–1 with a pore volume
of 0.89 cm3 g–1, and this was in good
agreement with the previous report that synthesized MIL-100(Fe) by
the solvothermal method.[42,43]
Adsorption
Kinetics and Isotherm of the MIL-100(Fe)@PAN
Composite
The adsorption of organic contaminants on MIL-100(Fe)@PAN
nanocomposites was investigated, employing a cationic dye, RhB, and
an anionic dye, MO, as model contaminants. Figure a depicts the adsorbed mass of dyes per unit
mass of MIL-100(Fe)@PAN (mg g–1) at the initial
dye concentration of 20 mg L–1. MO adsorption occurred
more rapidly, and this tendency was consistent for the tests with
varied dye concentrations of 10, 15, 20, and 25 mg L–1 (Figure S5). More rapid adsorption of
MO over RhB is due to the favorable electrostatic interactions between
anionic MO dye and MIL-100(Fe). The zeta potential of MIL-100(Fe)
was measured to be +3.20 mV in the aqueous phase at pH 7, implicating
that an electrostatic attraction would exist between MIL-100(Fe) and
MO under aqueous conditions; as a result, facilitated adsorption occurred
for MO over RhB. No such effect is anticipated for the cationic dye,
RhB, resulting in slower adsorption than MO. However, the saturation
adsorptions (Qe) of MO and RhB at 20 mg
L–1 were similar, suggesting that other molecular
interactions also play a role in the adsorption process.[44]
Figure 2
Adsorption kinetics and capacity of MIL-100(Fe)@PAN. (a)
Adsorption
of RhB and MO with time in the concentration of 20 mg L–1. (b) Pseudo-first-order and (c) pseudo-second-order adsorption kinetics
fitting the experimental data. (d) Dye adsorption capacities of MIL-100(Fe)@PAN
under varied concentrations. (e) Linear fitting of Freundlich isotherms
(initial dye concentration: 5–70 mg L–1)
for RhB and MO.
Adsorption kinetics and capacity of MIL-100(Fe)@PAN. (a)
Adsorption
of RhB and MO with time in the concentration of 20 mg L–1. (b) Pseudo-first-order and (c) pseudo-second-order adsorption kinetics
fitting the experimental data. (d) Dye adsorption capacities of MIL-100(Fe)@PAN
under varied concentrations. (e) Linear fitting of Freundlich isotherms
(initial dye concentration: 5–70 mg L–1)
for RhB and MO.The adsorption data were fitted
to the pseudo-first-order and the
pseudo-second-order kinetic equations in Figure b,c, and the kinetic equations with the fitted
constants are shown in Table . While the experimental data of RhB adsorption were well-fitted
with both the pseudo-first- and second-order model (R2 ∼ 0.990 and ∼0.951), the MO data fitted
better with the pseudo-second-order model, allowing an adequate prediction
of time-dependent dye adsorption. From the pseudo-second-order model
that fits well with both MO and RhB data (Figure c), the kinetic constant, k was larger for MO than RhB, indicating
a faster adsorption rate of MO over RhB.
Table 1
Adsorption
Kinetics and Isotherm Parameters
Obtained from Linearized Dataa
model
equation
linear equation
dye
parameters
R2
pseudo-first
order
Qt = Qe (1 – e–k1t)
ln(Qe – Qt) = ln Qe – k1t
RhB
Qe = 15.8 mg g–1
0.990
k1 = 0.214 min–1
MO
Qe = 11.6 mg g–1
0.856
k1 = 0.292 min–1
pseudo-second
order
RhB
Qe = 19.5 mg g–1
0.951
k2 = 0.0125 g mg–1 min–1
MO
Qe = 14.9 mg g–1
0.992
k2 = 0.0785 mg–1 min–1
Freundlich
Qe = kFCe1/n
RhB
kF = 9.75
0.988
n = 1.18
MO
kF = 4.06
0.967
n = 0.91
Qe and Q are the amount of dye adsorbed
per gram of MIL-100(Fe)@PAN (mg g–1) at equilibrium
and time t, respectively. k1 and k2 are the pseudo-first-order
(min–1) and pseudo-second-order (g mg–1 min–1) rate constants, respectively. Ce is the equilibrium dye concentration in solution (mg
L–1). In the Freundlich isotherm model, kF and n are obtained from fitting
the experimental results to the model.
Qe and Q are the amount of dye adsorbed
per gram of MIL-100(Fe)@PAN (mg g–1) at equilibrium
and time t, respectively. k1 and k2 are the pseudo-first-order
(min–1) and pseudo-second-order (g mg–1 min–1) rate constants, respectively. Ce is the equilibrium dye concentration in solution (mg
L–1). In the Freundlich isotherm model, kF and n are obtained from fitting
the experimental results to the model.In Figure d, equilibrium
adsorption capacities of MIL-100(Fe)@PAN are shown for dye concentrations
of 40, 50, 60, and 70 mg L–1. Regardless of adsorption
rates, the maximum adsorption capacity appeared to be similar for
both dyes. The functional groups of MIL-100(Fe) may induce various
molecular interactions including van der Waals interaction, π–π
interaction, and hydrogen bonding, and such interactions would allow
binding of dyes with MIL-100(Fe) with either charges.[45−47] Adsorption isotherm of MIL-100(Fe)@PAN was investigated by fitting
the experimental data to the Freundlich model (Figure e and Table ), assuming that the heterogeneous multilayer adsorption
would occur on MIL-100(Fe)@PAN. Both RhB and MO adsorptions fitted
fairly well with the Freundlich equation as a suitable isotherm model.
Based on the linear fittings, the adsorption constants kF and n are calculated in Table . The 1/n is
commonly regarded as a heterogeneity factor. The value n greater than 1 implies that physical adsorption is favored.[48,49] In this study, RhB shows n > 1, indicating the
adsorption of RhB is largely dependent on the physical interaction
between RhB and MIL-100(Fe)@PAN. For MO, n was less
than 1, implying that chemisorption also contributes to the overall
adsorption of MO to MIL-100(Fe)@PAN.
Adsorptive
and Photocatalytic Removal of Dyes
Figure a demonstrates
the photo-induced Fenton reaction of MIL-100(Fe), in which •OH radicals are produced as the main ROS that participates in the
degradation of dyes.[50,51] Compared to other metal-based
semiconductors such as zinc oxide (band gap of 3.3 eV) and titanium
oxide (band gap of 3.2 eV),[52] MIL-100(Fe)
has a lower band gap energy of 2.17 eV, and the photocatalytic reaction
can occur under visible light irradiation. Due to a small band gap,
the recombination of electrons and hole can occur easily, deterring
ROS generation. To inhibit electron–hole recombination, H2O2 is added to the reaction as an electron acceptor,
and the efficiency of •OH generation is improved.[19] At the same time, H2O2 acts as a catalyst for the Fenton reaction, and •OH produced from this reaction initiates photocatalytic decomposition.[20] To examine the dominant radical species that
participate in the photodegradation, the photocatalytic efficiency
was measured using different radical scavengers, as described in SI Section III and Figure S6. As radical scavengers,
isopropanol (IPA), benzoquinone (BQ), and ammonium oxalate (AO) were
used to quench •OH, O2•–, and holes, respectively. The result in Figure S6 shows that only IPA dramatically reduced the photodegradation
performance, confirming that •OH is the dominant
ROS species that were involved in the photo-induced Fenton reaction
for photodegradation of dyes.
Figure 3
Adsorptive and photocatalytic removal efficiency
of RhB and MO
under visible light. (a) Illustration of the photo-Fenton reaction
of MIL-100(Fe). (b) Photocatalytic degradation after saturation at
20 mg L–1. (c) Photocatalytic degradation of RhB
and (d) MO after 60 min of adsorption in the dark.
Adsorptive and photocatalytic removal efficiency
of RhB and MO
under visible light. (a) Illustration of the photo-Fenton reaction
of MIL-100(Fe). (b) Photocatalytic degradation after saturation at
20 mg L–1. (c) Photocatalytic degradation of RhB
and (d) MO after 60 min of adsorption in the dark.After the complete adsorption of dyes at equilibrium in 20
g mL–1, photocatalytic degradation barely occurred
(Figure b). It seems
that
the adsorption sites of MIL-100(Fe) are fully covered by the dye molecules,
inhibiting the effective photocatalytic reaction. To observe both
the adsorption and photocatalytic effect of MIL-100(Fe)@PAN on the
removal of dyes, the test setup was made for the first stage of partial
adsorption and the later stage of photocatalytic reaction with concurrent
adsorption. In this test, the composite membrane was immersed in the
dye solution in the dark for 60 min to induce only adsorption without
photocatalytic interference; after 60 min, the visible light (white
LED, 20 W) was turned on to proceed the photocatalytic activity (Figure c,d). It should be
noted that the adsorption did not reach equilibrium until 60 min,
and both photocatalysis and adsorption may occur simultaneously after
the light is on.For both RhB and MO, the dye removal efficiency
of MIL-100(Fe)@PAN
was compared to those of control tests. When H2O2 was added to the dye solution without MIL-100(Fe), no significant
dye degradation occurred. As the addition of H2O2 initiates the photocatalytic reaction, the test of MIL-100(Fe)@PAN
with H2O2 shows the effect of both adsorptive
and photocatalytic degradation after light is on (from time zero).
During the first 60 min tested in the dark, only the adsorption would
occur for MIL-100(Fe)@PAN; this is confirmed by the result that adsorptions
of MIL-100(Fe)@PAN with and without H2O2 coincided
within 60 min. The discrepancy between MIL-100(Fe)@PAN with and without
H2O2 is attributed to the photocatalytic activity
for the MIL-100(Fe)@PAN + H2O2 test. The difference
of removal efficiency between MIL-100(Fe)@PAN with and without H2O2 evolved larger as photodegradation proceeded.
Both adsorption and photocatalytic efficiency appeared to be higher
for the MO dye within 240 min of the test period. Of the total RhB
removal efficiency in terms of time by the adsorptive and photocatalytic
activity (∼80%), adsorption contributed ∼58%, and the
photocatalytic reaction contributed an additional 22% to the removal.
For 20 mg L–1 MO solution, the adsorption efficiency
reached around ∼40% for MIL-100(Fe)@PAN in the dark within
60 min. Upon light irradiation from time zero, MIL-100(Fe)@PAN showed
steep removal efficiency of MO to about 99% in the presence of H2O2. It can be inferred that, once the light was
turned on, the photocatalytic degradation became a dominant reaction
for MO (from 0 to +60 min), attaining ∼99% efficiency. It is
notable that the dominant removal mechanism for MO appeared to be
photodegradation while MO also showed faster adsorption than RhB during
the first 60 min.The mechanical stability of MIL-100(Fe)@PAN
after the concurrent
photodegradation and adsorption for 20 mg L–1 RhB
and MO was further investigated via XRD, FT-IR, and stress–strain
behavior in Figures S7–S9, respectively.
Both XRD peaks and FT-IR spectra indicate that MIL-100(Fe)@PAN has
proper mechanical stability after photodegradation and adsorption
in the aqueous solution. The stress–strain curve of the dried
MIL-100(Fe)@PAN after photodegradation showed a decrease in both stress
and strain after 4 h of the photodegradation process in an aqueous
solution. As the experiment proceeded, the dye molecules accumulated
on the surface of the sample, and this led to the decrease of strain.
In addition, as the photodegradation proceeded, the generated radicals
not only degraded the pollutants but also deteriorated the fiber strength.
Removal Efficiency with Repeated Use of MIL-100(Fe)@PAN
The dye adsorption efficiency with repeated use of MIL-100(Fe)@PAN
was tested at a dye concentration of 5 mg L–1 (Figure b,c). After every
adsorption test, the adsorbed RhB and MO on the composite membranes
were washed with ethanol to regenerate the available adsorptive sites.
The desorption efficiencies were measured to be about 75% for RhB
and 11% for MO after ethanol washing (Figure a). The negligible desorption on MO may be
attributed to strong electrostatic adsorption of MO to MIL-100(Fe)@PAN,
as is supported by the DFT calculation presented in the later section.
Accordingly, the repeated adsorption of MO remained minimal as almost
full adsorption was attained in the first cycle. On the other hand,
RhB maintained an adsorption efficiency of 60–70% with the
repeated adsorption tests; the loss in adsorption efficiency was <10%
throughout the repeated cycles. The higher desorption efficiency of
RhB is probably due to the weaker interaction of physisorption between
RhB and MIL-100(Fe)@PAN. RhB molecules were easily detached from the
adsorbent by the washing process, and the adsorption efficiency of
RhB recovered after washing, giving high resorption efficiencies.
Figure 4
Reusability
of MIL-100(Fe)@PAN with RhB and MO. (a) Desorption
efficiency of RhB and MO with ethanol cleansing. The repeated cycles
of adsorption of 5 mg L–1(b) RhB and (c) MO after
desorption.
Reusability
of MIL-100(Fe)@PAN with RhB and MO. (a) Desorption
efficiency of RhB and MO with ethanol cleansing. The repeated cycles
of adsorption of 5 mg L–1(b) RhB and (c) MO after
desorption.
DFT Analysis
The binding energy between
RhB/MO and MIL-100(Fe) was calculated via DFT to elucidate the reusability
of the membrane depending on the adsorption/desorption. In Figure , a simplified cluster
model consisting of 3 Fe atoms capped with 3 formate groups (instead
of the original benzene groups) was considered to reduce computational
time and cost. This trimeric Fe-oxo node as a building unit of MIL-100(Fe)
was previously used to carry out several theoretical studies for MOF
adsorption.[53−57] The low- (2S + 1 = 1) and high spin states (2S + 1 = 15) of the molecule were calculated, showing the
ground-state energy in the high spin state (energy gap). Vitillo et
al.[55] investigated spin configurations
of the cluster model, in which the antiferromagnetic coupling between
two Fe centers shows lower energy by only 20 kJ mol–1 than the high spin ferromagnetic configuration. Other studies using
similar trimetallic building blocks also reported that the energy
of antiparallel spin states showed slightly lower or almost no difference
compared to that of parallel spin states.[53,57] In addition, the broken-symmetry solution usually faces convergence
issues and spin contamination,[53] and has
physically improper spin densities.[58] Therefore,
the ferromagnetically coupled-cluster model (2S +
1 = 15) of MIL-100(Fe) was calculated in this study.
Figure 5
Optimized structures
with the distribution of the electrostatic
potential by DFT calculation based on the B3LYP/6-311+G(d,p)/LANL2DZ
level of theory, the (a) trimeric Fe-oxo cluster model (Fe3O), (b) RhB zwitterion, and (c) MO (Fe: purple, oxygen: red, carbon:
gray, hydrogen: white, nitrogen: blue, sulfur: yellow). Blue and red
regions indicate a relatively positive and negative charge distribution,
respectively.
Optimized structures
with the distribution of the electrostatic
potential by DFT calculation based on the B3LYP/6-311+G(d,p)/LANL2DZ
level of theory, the (a) trimeric Fe-oxo cluster model (Fe3O), (b) RhB zwitterion, and (c) MO (Fe: purple, oxygen: red, carbon:
gray, hydrogen: white, nitrogen: blue, sulfur: yellow). Blue and red
regions indicate a relatively positive and negative charge distribution,
respectively.Several researchers have reported
the potential structures of RhB
in aqueous solution under synthesis conditions,[59−62] whereas MO is known to ionize
(SO3– + Na+) and exist in
negatively charged forms in solutions.[63] Chi et al.[62] reported the optimized molecular
structures and the relative Gibbs free energy of the zwitterion and
cation of RhB in water and demonstrated that the cations were more
stable forms than the zwitterion. In our study, the binding energies
of both structures of RhB with MIL-100(Fe) were calculated.First, DFT calculations were conducted to optimize the ground-state
structures of three geometries: trimeric Fe cluster, RhB, and MO.
From the optimized geometries, the electrostatic potential (ChelpG
population analysis) was derived on each molecule to confirm the more
reactive site (Figure ). Three Fe atoms have relatively positive charges (blue) compared
to adjacent areas (Figure a) while the oxygen atoms in RhB and MO show strong electronegativity
(red). These distributions of electrostatic potential would result
in a Coulombic interaction between Fe atoms of Fe3O and
O atoms of RhB/MO (atomic charge of the O atom: −0.55 in RhB
and −0.74 in MO).Based on the above results, the initial
geometries for the MIL-100(Fe)
MOF and dye complex were established assuming Fe (MOF)–O (dye)
interaction. The complexes of the model cluster with RhB and MO were
fully optimized at the same level of theory (Figure ). All optimized geometries were verified
by frequency calculations (no imaginary frequency). The bond length
of Fe1–O1 (1.98 Å) of the Fe3O and MO complexes
is slightly shorter than that of the model cluster and RhB complex
(2.00 Å). The bond length of O2 (the center atom of Fe3O) and Fe1 in isolated Fe3O is 1.84 Å, and it slightly
increases in both complex molecules as shown in Figure (Fe3O–RhB: 1.84 Å
→ 1.94 Å, Fe3O–MO: 1.84 Å →
2.11 Å). The longer Fe1–O2 distance of the Fe3O–MO complex (2.11 Å) than that of the Fe3O–RhB complex (1.94 Å) means stronger interaction between
Fe1 and O1 in the Fe3O–MO complex. The binding energies
of Fe3O–RhB and Fe3O–MO complexes
qualitatively show the bond strength of the Fe–O interaction
(Table ). The binding
energy of Fe3O with the MO anion was larger (−128.6
kJ mol–1) than that of Fe3O with RhB
(−67.7 kJ mol–1). The RhB cation yields a
relatively stronger interaction with the model cluster than the neutral
RhB (lactone or zwitterion), but still has ∼32 kJ mol–1 lower binding energy than the Fe3O–MO anion complex.
Figure 6
Bond lengths
for the ground-state structures of the complex systems:
the model cluster with the (a) RhB zwitterion and (b) MO (Fe: purple,
oxygen: red, carbon: gray, hydrogen: white, nitrogen: blue, sulfur:
yellow).
Table 2
Charge, Spin Multiplicity
(2S + 1), Binding Energy (ΔH) for the
Model Cluster (Fe3O), and Dyes (RhB Cation, RhB, and MO
Anion)
molecules
charge
2S + 1
ΔH (kJ mol–1)a
Fe3O–RhB
cation
+1 au
15
–96.5
Fe3O–RhB
neutral
15
–67.7
Fe3O–MO
anion
–1 au
15
–128.6
Binding energy
at 298 K.
Bond lengths
for the ground-state structures of the complex systems:
the model cluster with the (a) RhB zwitterion and (b) MO (Fe: purple,
oxygen: red, carbon: gray, hydrogen: white, nitrogen: blue, sulfur:
yellow).Binding energy
at 298 K.It is also possible
that the steric hindrance is responsible for
the difference in molecular interactions between MIL-100(Fe) and dyes;
RhB had a large molecular volume (440.5 Å3, van der
Waals volume by Connolly surface analysis using Materials Studio 2016
software) compared to MO (263.0 Å3). Thus, it would
be more difficult for RhB to enter the pore openings of MIL-100(Fe)
and to interact with the Fe sites inside the pores. As a result, it
is likely that RhB, weakly adhering to the MOF surface, is easily
detached by the washing process. This result is consistent with our
experimental result, in which MO showed stronger interaction with
the Fe atom than RhB. As it is more difficult for MO to be detached
after adsorption, MO showed poor resorption ability with repeated
adsorption tests.
Conclusions
The
visible light-induced photocatalytic adsorbent was fabricated
by growing MIL-100(Fe) MOF crystals onto the electrospun polyacrylonitrile
(PAN) nanofibers, and its purification capability of water-soluble
organic foulants was investigated employing an anionic dye, methyl
orange (MO) and a cationic dye, rhodamine B (RhB). The experimental
adsorption results were fitted with the pseudo-second-order adsorption
kinetics, and the rate constants demonstrated that the anionic MO
dye was more rapidly adsorbed onto the MIL-100(Fe) grown membrane
(MIL-100(Fe)@PAN) than cationic RhB. As MIL-100(Fe) is positively
charged in the aqueous phase, electrostatic interactions with dye
molecules affected the adsorption rate. Regardless of different adsorption
rates, the maximum adsorption capacity of RhB and MO at equilibrium
appeared to be similar as adsorption occurred in multilayers following
the Freundlich adsorption isotherm. The photocatalytic activity of
the membrane was demonstrated under visible light, and the concurrent
action of photodegradation and adsorption facilitated the purification
process of contaminated water.The reusability of MIL-100(Fe)@PAN
as an adsorbent was investigated
by the cyclic adsorption–desorption experiments. The desorption
of adsorbed dye molecules was limited for MO, due to the strong interaction
between the anionic MO molecule and MIL-100(Fe). The charging effect
and the resulting stronger binding energy of MO over RhB were corroborated
by DFT analysis. Also, DFT calculations demonstrated the possible
volume effect on adsorption/desorption; the size of RhB is larger
than the MO molecule, and RhB may have steric hindrance to entering
the MOF pores, being weakly adhered onto the MOF surface. As a result,
it is likely that RhB is more easily detached from the surface, showing
efficient resorption ability. The emphasis of this study lies in the
combined investigation of the experimental approach and DFT calculation
for a fundamental understanding of the interaction between foulants
and MIL-100(Fe)@PAN in the purification process. This study intends
to provide informative data on the contribution of adsorption and
photocatalytic activity in the simultaneous purification process,
and to give a fundamental understanding of the atomic level interaction
of the MIL-100(Fe) adsorbent with the adsorbates with different charges
and sizes. This work gives an appreciable example devoted to the development
of highly efficient photocatalytic adsorbents for wastewater purification.
Authors: Stephanie K Loeb; Pedro J J Alvarez; Jonathon A Brame; Ezra L Cates; Wonyong Choi; John Crittenden; Dionysios D Dionysiou; Qilin Li; Gianluca Li-Puma; Xie Quan; David L Sedlak; T David Waite; Paul Westerhoff; Jae-Hong Kim Journal: Environ Sci Technol Date: 2018-12-21 Impact factor: 9.028
Authors: Xiang He; Hong Fang; David J Gosztola; Zhang Jiang; Puru Jena; Wei-Ning Wang Journal: ACS Appl Mater Interfaces Date: 2019-03-22 Impact factor: 9.229
Authors: Matthew C Simons; Jenny G Vitillo; Melike Babucci; Adam S Hoffman; Alexey Boubnov; Michelle L Beauvais; Zhihengyu Chen; Christopher J Cramer; Karena W Chapman; Simon R Bare; Bruce C Gates; Connie C Lu; Laura Gagliardi; Aditya Bhan Journal: J Am Chem Soc Date: 2019-10-31 Impact factor: 15.419