Noohul Alam1, Debajit Sarma1. 1. Department of Chemistry, Indian Institute of Technology Patna, Bihta, Bihar 801106, India.
Abstract
A semisolid gel material is a gift of serendipity via various chemical interactions, and metal incorporation (metallogels) imparts diverse functional properties. In this work, we have synthesized four metallogels from tetrapodal and hexapodal carboxylic acid/amide-based low-molecular-weight gelators with Ni(II) and Cu(II) salts. These metallogels can be tuned to be a low-temperature precursor of porous spinel oxides. These xerogels exhibit impressive water soluble dye and carbon dioxide adsorption, which coupled with the tunability and facile synthesis of porous spinel oxides underscores their potential in environmental remediation and energy applications.
A semisolid gel material is a gift of serendipity via various chemical interactions, and metal incorporation (metallogels) imparts diverse functional properties. In this work, we have synthesized four metallogels from tetrapodal and hexapodal carboxylic acid/amide-based low-molecular-weight gelators with Ni(II) and Cu(II) salts. These metallogels can be tuned to be a low-temperature precursor of porous spinel oxides. These xerogels exhibit impressive water soluble dye and carbon dioxide adsorption, which coupled with the tunability and facile synthesis of porous spinel oxides underscores their potential in environmental remediation and energy applications.
In recent years, soft
materials attracted plenty of attention due
to their astonishing capabilities in the copious facets of life. The
semisolid gel materials are a gift of serendipity via various chemical
interactions.[1] These materials are loaded
with immobilized solvents like dimethyl sulfoxide,[2]N,N-dimethyl formamide,[3,4] dichloromethane,[5] tetrahydrofuran,[6] water,[7] methanol,
and ethanol[8] into their inorganic or organic
gel matrixes.[9] The self-assembled semisolid
gel materials derived from the low-molecular-weight gelator are called
metallogels in the presence of a metal ion, otherwise termed as organogels.[10] Particularly, the design of metal-incorporated
gel materials is challenging and appealing because metal imparts several
functional properties into the material, like conductivity,[11,12] absorption/ion-exchange,[13−15] catalytic applications,[16,17] redox activity,[18] and other energy-related
applications.[19,20] Noncovalent interactions[21] like π–π interactions, hydrophobic
interactions,[22,23] hydrogen bonding, and electrostatic
forces imparted the three-dimensional metallogel network[24,25] with immobilized[26] solvent in the gel
network. In metallogels, the cross-linked network structure is stable
and formed via the metal–ligand interaction that can be tuned
by replacing the metal ions.[27] Metallogels
find applications in fields such as light-emitting diodes,[28] sensors,[29] biomaterials,[30,31] and photonics.[32] The desolvated metallogels,
viz., xerogels, are functionalized materials that can play an essential
role as single-source precursors of metal oxides for energy applications
and in environmental remediation.[13−15,33−35]The search to diversify the energy dependency
on nonrenewable fossil
fuels to a renewable and sustainable source of energy is one of the
most challenging issues currently because the combustion of fossil
fuels results in the emission of carbon dioxide and other anthropogenic
greenhouse gases. CO2 is considered as the main cause of
the fluctuation of global climate.[36] Therefore,
the reduction of carbon dioxide from the atmosphere is one of the
the main concerns currently. The porous metal–organic materials
are found as good sorbents for the CO2 at mild pressure
and temperature. Also, the climate concerns demand usage of other
green alternative ways of energy production. In this regard, the electrochemical
energy storage devices[37−42] can be a good alternate option. Graphite has been used as the anode
substance in the Li-ion batteries[43] because
of its long cyclic stability,[44] low cost,
and excellent kinetics.[45]Ferrite
spinels have been considered as alternatives of the graphite
anode.[46−48] The reaction mechanism of charging and discharging
that occurs in the ferrite spinels is entirely different from typical
Li-ion insertion/extraction.[47,49,50] Moreover, we can potentially control the electrochemical performance
of ferrite spinels, and also, it can be improved by tuning the morphology.[51] Among spinel ferrites, NiFe2O4 (NFO) and CuFe2O4 (CFO) have been developed
and garnered great interest in the lithium-ion batteries[35,52] due to very high theoretical capacities of NFO (915 mA h/g)[53] and CFO (893 mA h/g)[51] compared to that of graphite (372 mA h/g).[43] Also, natural abundance and low cost make NFO and CFO spinels as
promising alternate anode materials in lithium-ion batteries. The
surface area and pore size of the NFO and CFO spinels highly influence
the electrochemical activity by offering a large area for the electrochemical
reactions, better cycling performance, and superior discharge capacities.[51]Similarly, water pollution is also a primary
global concern, and
synthetic organic dyes (∼7 × 105 tons of global
annual production) is one of the chief contributors[54] to it because they are carcinogenic,[55] mutagenic, and toxic.[56,57] Water-soluble
dyes are used in the paper printing, leather, and textile industries.[58] The presence of dyes even at an extremely low
level (less than 1 mg/L) is clearly visible, and the color is an indicator
of the water quality for the general community. Therefore, removal
of the color from wastewater is usually more significant than the
elimination of organic substances.[59] Hence,
there is scope to find out new adsorbents, which can be easily prepared
and also do not required nonrenewable raw materials. In this account,
the adsorption of dyes by the metallogel have gained interest.[60]Herein, we have taken tetrapodal (LMWG1)
and hexapodal (LMWG2)
carboxylic acid/amide-based ligands. Both the tetrapodal and hexapodal
ligands contain an amide functional group in their core and a carboxylic
group at the terminal. Coordination of these ligands via their terminal
carboxylic acid binding sites and intermediate amide binding sites
with Ni/Cu(II) ions results in metallogels Ni@MG1, Ni@MG2, Cu@MG3,
and Cu@MG4. We have made metal oxides (NiO and CuO) by controlled
thermal decomposition of precursor metallogels. More importantly,
after getting the metal oxides successfully, we have tuned our synthesized
metallogels to get NiFe2O4 and CuFe2O4 spinels. To the best of our knowledge, this is the
first example of spinel ferrite synthesis from precursor metallogels.
The synthesized spinel ferrites exhibit higher surface area as compared
to previously reported spinels,[61−64] which are made by various synthetic methods.We have also illustrated the application of Ni@MG1, Ni@MG2, Cu@MG3,
and Cu@MG4 xerogels (the dried form of the gel) in the disposal of
water containing dyes with high adsorption capacity. The adsorption
kinetics, isotherm, and the plausible mechanism of adsorption by xerogels
have been proposed.
Results and Discussion
The synthesized
bifunctional carboxylic/amide based ligands were
used for ligation with the metal ions. The presence of the carboxylic
group makes it an excellent ligand for the metal ions, and the presence
of the amide functionality and aromatic rings increase the possibility
of having hydrogen bonding and π–π stacking interactions.
These are the ideal condition for the formation of the metallogel.
We have employed the bifunctional ligands, LMWG1 and LMWG2 (Figures S1–S3, see the Supporting Information),
with Ni2+ and Cu2+ for the synthesis of four
metallogel compositions Ni@MG1, Ni@MG2, Cu@MG3, and Cu@MG4 (Figure ).
Figure 1
Schematics of the synthesis
of metallogels based on the tetra/hexapodal
ligands.
Schematics of the synthesis
of metallogels based on the tetra/hexapodal
ligands.The multifunctional (carboxylic
acid/amide) LMWGs were designed
in such a way that they possess selective ligating properties toward
metal ions. We expected that this variation could be employed to synthesize
the precursor metallogel for the synthesis of spinel oxide. We have
tuned the synthesis of the metallogel by introducing a 1:2 (Cu/Ni:Fe)
metal ratio for the precursor metallogel (Figure ).
Figure 2
Pictorial representation of the formation of
precursor metallogels
and the subsequent thermal decomposition to spinels.
Pictorial representation of the formation of
precursor metallogels
and the subsequent thermal decomposition to spinels.Under a field-emission scanning electron microscope (FESEM),
we
have examined the molecular aggregations of the metallogels. The FESEM
images of the Ni@MG1and Ni@MG2 reveals that they form a porous, spongy
structure, and the transmission electron microscopy (TEM) studies
indicate aggregation of the nanofiber-like structure (Figure c and Figure S4a, see the Supporting Information). The FESEM images
of the Cu xerogels (Cu@MG3 and Cu@MG4) show a more compact structure
compared to the Ni xerogels (Ni@MG1and Ni@MG2), and the TEM studies
reveal that the gel network is formed by aggregation of nanoparticles
rather than nanofibers as observed in Ni xerogels. (Figure d and Figure S4b, see the Supporting Information). The average particle
size of Cu@MG3 was found to be around 45 nm, from the TEM image (Figure S4c). The selected-area electron diffraction
(SAED) images revealed that the xerogels are amorphous (Figure e,f). The amorphous nature
of the synthesized metallogels are also confirmed from the powder
X-ray diffraction analysis (Figure S5).
Figure 3
SEM images
of (a) Ni@MG2 and (b) Cu@MG3, TEM images of (c) Ni@MG2
and (d) Cu@MG3, and SAED images of (e) Ni@MG2 and (f) Cu@MG3.
SEM images
of (a) Ni@MG2 and (b) Cu@MG3, TEM images of (c) Ni@MG2
and (d) Cu@MG3, and SAED images of (e) Ni@MG2 and (f) Cu@MG3.Rheological studies were conducted to estimate
the viscoelastic
nature of the metallogel. The storage (G′)
and the loss (G″) moduli were plotted against
frequency for the metallogel samples (Figure a and Figure S6, see the Supporting Information). It was observed that in all the
metallogel samples, G′ was found to be higher
than G″ over the entire test frequency range;
e.g., the G′ – G″
difference for the Ni@MG1 and Ni@MG2 were found to be 27254 and 38233
Pa at 0.1 Hz frequency. These results indicate that all the obtained
metallogels are elastic, but in the case of copper-incorporated metallogels,
the values of the G′ – G″ difference were 59731 and 111327 Pa for Cu@MG3 and Cu@MG4,
respectively, at 0.1 Hz frequency.
Figure 4
(a) Dynamic frequency sweep vs gain modulus
(G′) and loss modulus (G″)
of Ni@MG1,
Ni@MG2, and (b) TGA of the metallogels.
(a) Dynamic frequency sweep vs gain modulus
(G′) and loss modulus (G″)
of Ni@MG1,
Ni@MG2, and (b) TGA of the metallogels.The morphology indicates that the xerogels might exhibit porosity.
Therefore, N2 gas adsorption–desorption studies
were performed on the xerogels. The permanent porosities of the Ni@MG1,
Ni@MG2, Cu@MG3, and Cu@MG4 xerogels were affirmed through the reversible
adsorption–desorption experiment at 77 K, which indicates a
type-III adsorption isotherm with the mesoporous nature of the xerogels
(Figure S7, see the Supporting Information).
Furthermore, the BET surface areas and pore size distributions with
pore volumes of the Ni@MG1, Ni@MG2, Cu@MG3, and Cu@MG4 xerogels were
also calculated. The BET specific surface areas of xerogels were 13–38
m2/g with total pore volumes of 0.055–0.01 cm3/g (Table S1, see the Supporting
Information). Based on our results, Ni@MG1 and Ni@MG2 have larger
surface area than Cu@MG3 and Cu@MG4, which is in agreement with the
microscopic studies and the dye adsorption properties of Ni@MG1 and
Ni@MG2.To examine the thermal stability of the xerogels, thermogravimetric
analyses (TGA) were performed. The thermal behaviors of Ni@MG1, Ni@MG2,
Cu@MG3, and Cu@MG4 were examined from room temperature to 800 °C.
The TGA results show that all of the xerogels have weight loss before
150 °C, which is due to the removal of physisorbed moisture and
coordinated solvent molecules. In the nickel-based metallogel, approximately
55 to 60% weight loss was observed in between 360 and 490 °C,
but in the case of copper-based metallogels, there is two-step weight
loss observed; initially, a loss of ∼36–37% in the range
of ∼250–340 °C and then second weight loss of ∼18–20%
around 400–520 °C may be due to the decomposition of xerogels
(Figure b).To identify the calcined product, Ni@MG2 and Cu@MG4 samples were
heated at 500 °C for 3 h in a tube furnace. The PXRD patterns
of calcined samples were found to match with the reported NiO and
CuO ICSD reference numbers 92132 and 69758, respectively (Figure and Figure S8, see the Supporting Information).
Figure 5
Powder
X-ray diffraction patterns of (a) Ni@MG2 xerogel, (b) NiFe2O4 precursor xerogel, (c) NiO reference from the
ICSD database, (d) NiO as synthesized by thermal decomposition of
the Ni@MG2 xerogel, (e) NiFe2O4 reference from
the ICSD database, and (f) NiFe2O4 as synthesized
by thermal decomposition of the precursor xerogel.
Powder
X-ray diffraction patterns of (a) Ni@MG2 xerogel, (b) NiFe2O4 precursor xerogel, (c) NiO reference from the
ICSD database, (d) NiO as synthesized by thermal decomposition of
the Ni@MG2 xerogel, (e) NiFe2O4 reference from
the ICSD database, and (f) NiFe2O4 as synthesized
by thermal decomposition of the precursor xerogel.The thermogravimetric studies indicate that these metallogels
could
be employed to synthesize the precursor metallogel for the synthesis
of spinel oxide at relatively low temperature with a high surface
area. We have used a 1:2 (Cu/Ni:Fe) metal ratio for the synthesis
of the precursor metallogel (Figure ). Also, the formation of the precursor metallogel
and its elastic nature were confirmed by rheological studies where G′ was found to be higher than G″ over the entire test region (Figure S9, see the Supporting Information). Thermal decomposition
of these precursor xerogels at 500 °C for 3 h resulted in the
formation of the NiFe2O4 (NFO) and CuFe2O4 (CFO) spinels. We believe that this was possible
due to the selective ligation of the carboxylic group (possibly the
octahedral coordination) and the amide (possibly the tetrahedral coordination),
which resulted in the spinel oxide instead of a mixture of binary
oxides.To confirm the structures of both NFO and CFO spinels,
we have
performed PXRD studies (Figure and Figure S8, see the Supporting
Information). The NFO spinel synthesized from the metallogel crystallizes
in the cubic space group Fd-3m with a = 8.337 Å and V = 579.47 Å3 (ICSD reference number 40040), and the PXRD pattern of NFO
shows the existence of the pure nickel ferrite spinel phase only.
The CFO spinel synthesized from the metallogel crystallizes in the
cubic space group Fd-3m with a = 8.416 Å and V = 596.15 Å3 (ICSD reference number 188854), but there are some iron oxide
(ICSD reference number 26410) peaks (Figure S8).The SEM micrographs of NiO, CuO, NiFe2O4 (NFO)
and CuFe2O4 (CFO) synthesized from metallogels,
and precursor metallogels are shown in (Figures S10 and S11, see the Supporting Information). The morphologies
of the metal oxide and mixed metal oxide are uniform, and all are
spherical-shaped nanoparticles. Additionally, from the images, it
is clearly seen that these nanoparticles are nearly closed packed;
this would help in the electron transport at the time of photoelectrochemical
and electrochemical applications.[65] We
also carried out the energy-dispersive X-ray (EDX) study to get details
about the elements present in the metal oxide and mixed metal oxide.
In the case of nickel ferrite spinel, the ratio of atomic weight percent
of nickel and ironmetal was Ni:2.2 Fe, and for copperferrite spinel,
it was Cu:1.7Fe (Figure S11, see the Supporting
Information).The BET specific surface areas of NFO and CFOferrite spinels were
276.31 and 201.13 m2/g, respectively, with average pore
sizes of 1.459 and 0.638 nm, respectively. The total pore volumes
of NFO and CFO were 0.57 and 0.406 cm3/g, respectively
(Figure S12, see the Supporting Information).
These synthesized ferrite spinels from the precursor metallogel exhibit
high surface area as compared to many reported procedures (Table S2, see the Supporting Information).The presence of the polar functional groups (amide linkage) prompted
us to examine the adsorption behavior toward water-soluble organic
dyes. The materials show fast and efficient absorption of methylene
blue (MB) and congo red (CR) (Figure a–g, Figures S13 and S14, see the Supporting Information).
Figure 6
Ni@MG1 (a) before dye adsorption and after
(b) CR and (c) MB dye
adsorption. Photographs of (d) CR and (e) MB dye removal by Ni@MG1
at different time intervals. (f) UV–vis spectra of the adsorption
of (f) CR and (g) MB dyes as a function of time for the sample Ni@MG1.
Ni@MG1 (a) before dye adsorption and after
(b) CR and (c) MB dye
adsorption. Photographs of (d) CR and (e) MB dye removal by Ni@MG1
at different time intervals. (f) UV–vis spectra of the adsorption
of (f) CR and (g) MB dyes as a function of time for the sample Ni@MG1.
Adsorption Kinetics Studies
To understand the adsorption
behavior of Ni@MG1, Ni@MG2, Cu@MG3, and Cu@MG4 xerogels, we have performed
the adsorption kinetics experiments (Figures S13 and S14, see the Supporting Information). For better understanding,
the linear forms of the two kinetic models pseudo-first-order and
pseudo-second-order were employed to examine the adsorption kinetic
behavior. The pseudo-first-order kinetic equation is represented aswhere q (mg/g) and qe (mg/g) stand
for the amounts of dyes adsorbed at a given time interval t (min) and dyes adsorbed at equilibrium, respectively,
and k1 (min–1) is the
pseudo-first-order rate constant.The pseudo-second-order adsorption
rate equation is represented aswhere k2 (g/mg·min) is the pseudo-second-order
rate constant.The kinetic parameters calculated with the help
of pseudo-first-order
kinetic models and pseudo-second-order kinetic models are presented
in Table (Figures S15–S18, see the Supporting Information).
The obtained results from both models clearly indicate that the pseudo-second-order
model seems to be best fitted because, for both CR and MB dyes, R2 values acquired from the pseudo-second-order
model are far closer to 1. Furthermore, the qe, cal (calculated) values are much closer to qe, exp (experimental) values by applying
the pseudo-second-order model in comparison to the pseudo-first-order
model (Table ). From
these results, we can say that the adsorption processes of CR and
MB on Ni@MG1, Ni@MG2, Cu@MG3, and Cu@MG4 xerogels follow the pseudo-second-order
model.
Table 1
Kinetic Parameters from Both Kinetic
Model, Pseudo-First-Order and Pseudo-Second-Order, of the Adsorption
of CR and MB on Ni@MG1, Ni@MG2, Cu@MG3, and Cu@MG4 Xerogels
pseudo-first-order
pseudo-second-order
sample code
dye
qe, exp
qe, cal
k1
R2
qe, cal
k2
R2
Ni@MG1
CR
9.44
2.57
0.0222
0.8295
9.42
0.2439
0.9983
Ni@MG1
MB
9.82
2.13
0.0304
0.9015
9.84
0.0915
0.9998
Ni@MG2
CR
9.29
5.89
0.0147
0.9678
8.88
0.0155
0.9916
Ni@MG2
MB
9.75
1.13
0.0399
0.8453
9.76
0.4284
0.9999
Cu@MG3
CR
9.13
8.81
0.0004
0.8707
9.16
0.0098
0.9844
Cu@MG3
MB
9.91
4.14
0.0549
0.9062
10.08
0.0471
0.9997
Cu@MG4
CR
9.74
6.07
0.0073
0.8427
7.86
0.0162
0.9614
Cu@MG4
MB
8.57
4.14
0.0549
0.9715
6.79
0.0114
0.9761
Adsorption Isotherms
The equilibrium adsorption isotherm
model has an equal importance because it helps to understand how the
adsorbates interact with adsorbents. Langmuir adsorption isotherm
and Freundlich adsorption isotherm models were taken into account
to evaluate the adsorption behavior. The Langmuir isotherm model is
based on the hypotheses that (a) all the adsorption sites are identical
and each adsorption site can take only one molecule, (b) the adsorption
energy is independent of the surface coverage, and (c) after adsorption,
the adsorbate molecules cannot change their position.[66,67] The following equation represents the Langmuir isotherm modelwhere Ce (mg/L), kL (L/mg), qe (mg/g), and qmax(mg/g) stand for the equilibrium concentration,
Langmuir
adsorption constant, equilibrium adsorption capacity, and the maximum
adsorption capacity, respectively. The values of qmax and kL can be calculated
from the intercept and slope of the linear plot of Ce/qe versus Ce, respectively.The Freundlich adsorption isotherm
model talks about the multilayer adsorption on the energetically heterogeneous
surface.[68] The following equation represents
the Freundlich isotherm modelwhere 1/n stands for the heterogeneity factor and kF is the Freundlich constant. The Freundlich constant (kF) can be obtained by plotting lnqe versus lnCe. The isotherm and
the data fitted by the Langmuir adsorption model for CR and MB on
Ni@MG1, Ni@MG2, Cu@MG3, and Cu@MG4 xerogels are presented in Figure (Figure S19–S22, see the Supporting Information). All
the parameters obtained from the adsorption isotherm models are listed
in Table . R2 values (the correlation coefficient) demonstrated
that the Langmuir model is best fitted in comparison to the Freundlich
model.
Figure 7
Adsorption isotherms for (a) CR and (c) MB on Ni@MG1, Ni@MG2, Cu@MG3
and Cu@MG4 xerogels respectively. Langmuir isotherm model for the
adsorption of (b) CR and (d) MB on Ni@MG1, Ni@MG2, Cu@MG3 and Cu@MG4
xerogels, respectively.
Table 2
Adsorption
Isotherm Parameters for
CR and MB Dyes on Ni@MG1, Ni@MG2, Cu@MG3, and Cu@MG4 Xerogelsa
Langmuir
model
Freundlich
model
sample code
dye
qmax
∼qmax ± error
kL
R2
1/n
kF
R2
Ni@MG1
CR
1428.57
1428.57 ± 43.0
0.0094
0.9931
0.5394
45.0737
0.9691
Ni@MG1
MB
980.39
980.39 ± 10.0
0.0454
0.9983
0.3693
116.85
0.9483
Ni@MG2
CR
1191.8
1191.8 ± 66.0
0.0390
0.9807
0.5054
38.6327
0.9759
Ni@MG2
MB
704.22
704.22 ± 10.0
0.0208
0.9981
0.4111
53.3887
0.8748
Cu@MG3
CR
497.51
497.51 ± 13.0
0.0088
0.9957
0.4575
21.9046
0.9023
Cu@MG3
MB
529.10
529.10 ± 8.0
0.0498
0.9975
0.2834
87.5053
0.9034
Cu@MG4
CR
526.315
526.315 ± 11.0
0.0093
0.9971
0.4203
29.2272
0.9284
Cu@MG4
MB
458.7
458.7 ± 4.20
0.0652
0.9993
0.2570
90.3237
0.8344
Note: qmax stands for maximum adsorption capacity evaluated with the help of
the Langmuir adsorption isotherm model.
Adsorption isotherms for (a) CR and (c) MB on Ni@MG1, Ni@MG2, Cu@MG3
and Cu@MG4 xerogels respectively. Langmuir isotherm model for the
adsorption of (b) CR and (d) MB on Ni@MG1, Ni@MG2, Cu@MG3 and Cu@MG4
xerogels, respectively.Note: qmax stands for maximum adsorption capacity evaluated with the help of
the Langmuir adsorption isotherm model.Therefore, the adsorption mechanism of congo red and
methylene
blue dyes on Ni@MG1, Ni@MG2, Cu@MG3, and Cu@MG4 xerogels is well explained
by the Langmuir rather than Freundlich isotherm model. Furthermore,
the low values of 1/n (heterogeneity factor) also
favored Langmuir-like adsorption in comparison to the Freundlich adsorption
isotherm. Our adsorption capacity results are well compared with different
kinds of adsorbents reported in the literature (Table S3, Supporting Information).
Dye Adsorption Mechanism
Several types of materials
were utilized as adsorbents in the removal of toxic organic dyes from
polluted waste. Usually, (i) the surface area of the material, (ii)
different charge interactions involved in between the adsorbate and
adsorbent, and (iii) the pore structures of the materials were reported
as an essential cause for the dye adsorption.[69] Both the organic dyes (CR and MB) contain aromatic rings and surface
charge in their structures. Therefore, there are possibilities that
xerogels can adsorb the dye through electrostatic interactions and
hydrogen bonding.[70] Among all, there is
a chance to establish π–π interactions in between
the π cloud of benzene rings of dyes and the adsorbent.[71] Particularly, our synthesized materials are
derived from amide functional group containing ligands; amide is a
fascinating group because the −C=O moiety of the amide functional
group can behave as an electron donor and the −NH moiety can
behave as an electron acceptor.[72] Therefore,
we expected that the amide group also plays an essential role in the
adsorption of both cationic and anionic dyes. The proposed mechanisms
for adsorption of CR and MB dyes are presented in Figure . The nickel-based xerogel
shows good adsorption capacity than copper-based xerogels, and this
may be due to the larger surface area of the nickel-containing xerogel
than copper-containing xerogels (Table S1 and Table S4, see the Supporting Information). Also, the porosity
of the materials for the tetrapodal ligands is higher than that of
the hexapodal ligands. It is to be noted that for the tetrapodal-ligand-based
metallogels, the metal-to-ligand ratio was 2:1, whereas for the hexapodal
ligand, the metal-to-ligand ratio was 3:1. In general, the adsorption
capacities are higher for the material with higher surface area.
Figure 8
Schematic
representation of the (a) congo red and (b) methylene
blue dye adsorption mechanism. M stands for nickel and copper metal
ions.
Schematic
representation of the (a) congo red and (b) methylene
blue dye adsorption mechanism. M stands for nickel and coppermetal
ions.Furthermore, to confirm the interaction
of the adsorbed dyes with
the xerogel, FTIR analyses were performed (Figure S23, see the Supporting Information). In the case of CR, a
3470 cm–1 adsorption peak stands for the stretching
of primary amine −N–H, which was slightly shifted and
reduced after adsorption. The absorption band at 1611 cm–1 indicates the −N=N stretching and was also slightly shifted
toward lower energy, whereas the peaks observed at 1226, 1124, and
1065 cm–1 correspond to the −S=O stretching
and were shifted and also reduced after the adsorption. Moreover,
the absorption peaks at 831, 750, and 696 cm–1 for
the aromatic groups[73] in congo red were
completely reduced after the adsorption. These results demonstrated
that there are noncovalent interactions in between the congo red and
Ni@MG1 that may be due to the participation of electrostatic interaction,
π–π interaction, and hydrogen bonding.[74]
CO2 Uptake Analysis
The
presence of the
immobilized amide functional group and surface area of synthesized
xerogels encourage us to study the CO2 adsorption. Before
CO2 adsorption, we have activated the xerogel samples in
the oven at 100 °C for 24 h, and then adsorption analysis were
performed within the pressure range of 0 to 1 atm at 298 K. The study
reveals that the synthesized materials exhibit excellent CO2 adsorption capacity in the family of metallogels (Figure , Table S5, see the Supporting Information). The adsorption and desorption
paths of CO2 were the same in the case of nickel metallogels,
and the capacities were lower than those of copper analogues. This
may be attributed to the lower polarizing power of Ni(II) than Cu(II),
which results from the Jahn–Teller distortion of the Cu(II)
ions. The Cu@MG3 xerogel shows higher CO2 adsorption capacity
than Cu@MG4 due to the higher surface area. However, in the copper-incorporated
metallogel, the desorption path of CO2 does not follow
the adsorption path; i.e., it shows hysteresis (Figure S24, see the Supporting Information). The results affirmed
that on decreasing the external pressure, the adsorbed CO2 was not immediately released. The CO2 adsorption study
indicates that the amide functionality, the choice of metal ion, and
surface area have an effect on the overall capacity of the material.
Figure 9
CO2 adsorption capacity (mg/g) of (a) Ni@MG1 and Ni@MG2
and (b) Cu@MG3 and Cu@MG4.
CO2 adsorption capacity (mg/g) of (a) Ni@MG1 and Ni@MG2
and (b) Cu@MG3 and Cu@MG4.
Conclusions
Multifunctional metallogel synthesis from designed
tetrapodal and
hexapodal carboxylic acid-amide ligands, its water-soluble dye adsorption,
and thermal decomposition to metal oxide have been accomplished. The
synthesis can be tuned to prepare precursor metallogels for spinel
oxides. The designed bifunctional carboxylic acid-amide based ligands
have selective ligating properties toward metal ions. These variations
in the ligation of the amide and the carboxylic acid are the cause
of the formation of the spinel oxide instead of binary oxide. We have
successfully synthesized ferrite (NiFe2O4 and
CuFe2O4) spinels with high surface area (∼200–275
m2/g).The equilibrium adsorption data of congo red
and methylene blue
on the xerogel-based adsorbents were estimated by Langmuir isotherm
and Freundlich isotherm models. The Langmuir model shows a better
fit, and the adsorption process conforms to the pseudo-second-order
kinetic model. From our obtained results, we can say that the synthesized
xerogels are promising candidates as adsorbents for congo red (497–1428
mg/g), methylene blue (458–980 mg/g), and carbon dioxide (22–40
mg/g, at 298 K and 1 atm).Our work shows that these multifunctional
metallogels can act as
single-source precursors for spinel oxides and also as adsorbents
for carbon dioxide and water-soluble synthetic organic dyes. Further
work is necessary to see the versatility of the metallogel for the
formation of spinel oxide and its potential application for the remediation
and renewable energy application.
Experimental Section
Materials
Used
1,3,5-Benzenetricarbonyl trichloride,
5-aminoisopthalic acid, and terephthaloyl chloride were bought from
Sigma-Aldrich. 4-Dimethylaminopyridine and methylene blue were bought
from Sisco Research Laboratories (SRL). Congo red was bought from
Alfa Aesar, and all the metal salts and solvents were bought from
Central Drug House (CDH) and utilized without further purification.
The solvents N,N-dimethylformamide
and N,N-dimethylacetamide (DMA)
were used without further distillation.
Synthesis of LMWG1 and
LMWG2 Ligands
The LMWG1 ligand
was made with the help of the reported literature with minor modification.[75] In 15 mL of anhydrous N,N-dimethylacetamide, 5-aminoisophthalic acid (9.2 mmol,
1.66 g) and 4-dimethylaminopyridine (0.12 mmol, 0.014 g) were dissolved
under a N2 atmosphere. Then terephthaloyl chloride (4.5
mmol, 0.913 g) was solubilized in 10 mL of anhydrous DMA and added
drop wise to it. Under a N2 gas atmosphere, the mixture
was stirred for 48 h. To get the precipitate of the product and to
solubilize the excess 4-dimethylaminopyridine and 5-aminoisophthalic
acid, 50 mL of 5% HCl was added. The LMWG2 ligand was sythesized with
some modification of the reported literature.[76] We have used 1,3,5-benzenetricarbonyl trichloride (3 mmol, 0.79
g) in place of terephthaloyl chloride, and all the remaining things
were the same. The obtained product was purified by washing with 50
mL of 5% HCl followed by 20 mL of water, 20 mL of methanol, and finally
with ether. For LMWG1, 1H NMR (DMSO-d6, δ ppm): 13.32 (broad peak, 4H, COOH), 10.76 (2H, s,
CONH), 8.70 (4H, s, ArH), 8.24 (2H, s, ArH), 8.17 (4H, s, ArH), yield
= 1.89 g (85.32%), and for LMWG2, 1H NMR (DMSO-d6): δ 13.38 (broad peak, 6H, s, COOH),
10.95 (3H, s, CONH), 8.84 (3H, s, ArH), 8.73 (6H, s, ArH, 2), 8.26
(3H, s, ArH, 3), yield = 1.93 g (92.34%). The spectra of LMWG1 and
LMWG2 ligands are shown in Figures S1–S3 (see the Supporting Information).
Metallogel Synthesis
In this work, we have adopted
the reported synthetic technique for metallogel preparation.[77] In a typical synthesis, we have prepared the
0.1 mmol/mL solution by dissolving LMWG1 in DMA solvent. 0.5 mL (0.1
mmol/mL) of LMWG1 was placed separately in different vials, and 0.05–2.0
equiv. of nickel and copper acetate concerning the ligand LMWG1 concentration
was also solublized in dimethylformamide and put separately in different
vials. In the final step, the dimethylformamide solution of nickel
and copper acetate was added to the solution of ligand LMWG1 so that
the final volume was 1 mL in each glass vial. Then, after 10 min,
by the glass vial inversion method, the formation of the metallogel
was confirmed at room temperature. The same procedure was followed
for the metallogels derived from ligand LMWG2 except that 0.05–3.0
equiv. of nickel and copper acetate was taken in different glass vials
with respect to the ligand LMWG2 (0.1 mmol/mL) concentration (Figure ). The minimum gelation
concentration for the LMWG1 ligand and metal was found to be in a
1:2 ratio, but for LMWG2, it was in a 1:3 ratio.
Spinel Precursor
Metallogel Synthesis
To make a spinel
precursor metallogel, 0.5 mL of 0.1 M LMWG2 was taken in glass vials,
and 0.25 mL from each of the dimethylformamide solution of 0.2 M Ni(CH3COO)2·4H2O and 0.4 M Fe(NO3)3·9H2O were added into the 0.1
M LMWG2-containing glass vial. Then, after 30 min, formation of spinel
precursor metallogels was confirmed through the glass vial inversion
method. All the remaining things were the same to make the copper-containing
spinel precursor metallogel except that 0.2 M Ni(CH3COO)2·4H2O was replaced with the 0.2 M Cu(CH3COO)2·H2Ometal salt solution (Figure ).
Spinel Oxide
Synthesis from the Precursor Metallogel
We have taken the
dried spinel precursor metallogels Ni:2Fe@LMWG2
and Cu:2Fe@LMWG2 and heated them in a tube furnace at 500 °C
for 3 h (Figure ).
Field-Emission Scanning Electron Microscope (FESEM)
The
morphology of xerogels was analyzed using a field emission scanning
electron microscope (ZEISS GEMINISem 500 with an energy-dispersive
X-ray spectroscopy detector).
Transmission Electron Microscopy
(TEM)
Metallogel samples
were also analyzed using a transmission electron microscope (JEOL-JEM
2100) instrument operating at 120 kV.
Rheological Measurements
The rheological studies for
all the metallogels were carried out using an AntonPaar (MCR 302)
modulated compact rheometer. Samples were scanned at room temperature
from 0.1 to 20 Hz on a parallel plate (9 mm diameter) at 1% strain
to obtain the gain modulus (G′) and loss modulus
(G″).
BET Surface Area Analysis
The N2 gas sorption
studies were carried out to get the Brunauer–Emmett–Teller
(BET) surface area using a Quantachrome Autosorb iQ2 analyzer. Generally,
around 100 mg of xerogels was taken in the sample holder 9 mm in width.
Before performing the experiment, xerogels were kept in a vacuum oven
at 110 °C for 24 h; after that, samples were degassed at 120
°C for 6 to 7 h.
Thermogravimetric Analysis (TGA)
Thermogravimetric
analysis was performed using an SDT Q600 (TA Instruments). The scan
rate was 10 °C/min under nitrogen, with a flow rate of 100 mL/min.
Powder X-ray Diffraction Analysis (PXRD)
PXRD analysis
was conducted using a Rigaku MiniFlex 600 diffractometer with Cu Kα
radiation (λ = 1.5418 Å).
Fourier Transform Infrared
(FTIR) Spectra
FTIR spectra
of xerogel samples were measured in the range of 4000 to 400 cm–1 using a PerkinElmer Spectrum 400 in KBr mode.
UV–vis
Spectra
A spectrophotometer (Shimadzu
UV2500) recorded the UV–vis spectra using 1 cm path-length
quartz cuvettes.
Adsorption Experiments
All adsorption
experiments of
the aqueous solutions of congo red and methylene blue were carried
out at room temperature. 4 mg of adsorbent was dispersed in solutions
(4 mL) of various concentrations under stirring until equilibrium
was reached. 1 mL of the aliquot was taken out and then centrifuged
for 3 min to measure the concentration of the supernatant with the
help of a UV–vis spectrophotometer. To calculate adsorption
capacity at equilibrium qe (mg/g), the
following equation was usedwhere C0 (mg/L) stands for initial concentration, Ce (mg/L) stands for equilibrium concentration, V (L) represents the total volume of dye solution, and m (g) represents the adsorbent weight. To perform adsorption
kinetics studies, 20 mg of each Ni@MG1, Ni@MG2, Cu@MG3, and Cu@MG4
materials were added to 20 mL of an aqueous solution of 10 mg/L MB
and CR dyes, and then 1 mL of aliquots was taken out at certain time
intervals to measure the concentration of the supernatant. To calculate
the amount of dye adsorbed at a particular time t, (q), the following equation was used
Authors: Lei Wang; David C Bock; Jing Li; Eric A Stach; Amy C Marschilok; Kenneth J Takeuchi; Esther S Takeuchi Journal: ACS Appl Mater Interfaces Date: 2018-03-05 Impact factor: 9.229
Authors: William G Hardin; Daniel A Slanac; Xiqing Wang; Sheng Dai; Keith P Johnston; Keith J Stevenson Journal: J Phys Chem Lett Date: 2013-04-01 Impact factor: 6.475
Authors: Christina A Cama; Christopher J Pelliccione; Alexander B Brady; Jing Li; Eric A Stach; Jiajun Wang; Jun Wang; Esther S Takeuchi; Kenneth J Takeuchi; Amy C Marschilok Journal: Phys Chem Chem Phys Date: 2016-06-22 Impact factor: 3.676