Sebastjan Nemec1,2, Slavko Kralj1,2,3. 1. Department for Materials Synthesis, Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia. 2. Faculty of Pharmacy, University of Ljubljana, Aškerčeva cesta 7, 1000 Ljubljana, Slovenia. 3. Nanos SCI, Nanos Scientificae d.o.o., Teslova 30, 1000 Ljubljana, Slovenia.
Abstract
Anisotropic magnetic nanoparticles with a mesoporous silica shell have the combined merits of a magnetic core and a robust shell. Preparation of magnetically guidable core-shell nanostructures with a robust silica shell that contains well-defined, large, radially aligned silica pores is challenging, and hence this has rarely been described in detail. Herein, a dynamic soft-templating strategy is developed to controllably synthesize hierarchical, dual-mesoporous silica shells on diverse core nanoparticles, in terms of nanoparticle shape (i.e., spherical, chainlike, and disclike), magnetic properties (i.e., hard magnetic and superparamagnetic), and dimensions (i.e., from 3 nm to submicrometers). The developed interfacial coassembly method allows easy design of applicable silica shells containing tunable pore geometries with pore sizes ranging from below 5 nm to above 40 nm, with a specific surface area of 577 m2 g-1 and pore volume of 1.817 cm3 g-1. These are the highest values reported for magnetically guidable anisotropic nanoparticles. The versatility of the method is shown by transfer of the coating procedure to core particles as diverse as spherical superparamagnetic nanoparticles and their clusters as well as by ferromagnetic 3 nm thick hexaferrite nanoplatelets. This method can serve as a general approach for the fabrication of well-designed mesoporous silica coatings on a wide variety of core nanoparticles.
Anisotropic magnetic nanoparticles with a mesoporous silica shell have the combined merits of a magnetic core and a robust shell. Preparation of magnetically guidable core-shell nanostructures with a robust silica shell that contains well-defined, large, radially aligned silica pores is challenging, and hence this has rarely been described in detail. Herein, a dynamic soft-templating strategy is developed to controllably synthesize hierarchical, dual-mesoporous silica shells on diverse core nanoparticles, in terms of nanoparticle shape (i.e., spherical, chainlike, and disclike), magnetic properties (i.e., hard magnetic and superparamagnetic), and dimensions (i.e., from 3 nm to submicrometers). The developed interfacial coassembly method allows easy design of applicable silica shells containing tunable pore geometries with pore sizes ranging from below 5 nm to above 40 nm, with a specific surface area of 577 m2 g-1 and pore volume of 1.817 cm3 g-1. These are the highest values reported for magnetically guidable anisotropic nanoparticles. The versatility of the method is shown by transfer of the coating procedure to core particles as diverse as spherical superparamagnetic nanoparticles and their clusters as well as by ferromagnetic 3 nm thick hexaferrite nanoplatelets. This method can serve as a general approach for the fabrication of well-designed mesoporous silica coatings on a wide variety of core nanoparticles.
Entities:
Keywords:
interface assembly; iron oxide core nanoparticles; magnetic hexaferrites; mesoporous silica shell; radially aligned pores
Highly
organized and well-defined mesoporous materials are desired
support for applications as diverse as those ranging from catalysis,
energy harvesting, and water and soil remediation to medical applications
such as targeted drug delivery.[1−3] Frequently, mesoporous materials
have been designed to carry large amounts (by weight) of functional
molecules, ions, or catalysts on the basis of their inherent high
surface area and large pore size and volume.[4] Among the different porous materials available, such as zeolites,
metal–organic frameworks, and nanocarbons, mesoporous silica-based
nanoarchitectures represent the first choice for many applications.
This is due to their well-accepted biocompatibility, chemical stability,
easy surface functionalization, cost effectiveness, and straightforward
synthesis scale-up.[5] Mesoporous silica
is usually synthesized by surfactant-supported soft-template methods
that involve micelles and nanoscale droplets of organic solvents in
an emulsion reaction system.[6−9] Addition of the organic solvent into this reaction
mixture greatly increases the pore size formed, as it promotes swelling
of the soft templates and therefore represents a pore expander.[10] In general, the addition of an organic solvent
facilitates the formation of large pores (diameter > 10 nm), which
can include trimethylbenzene, n-hexane and other
long chain hydrocarbons, or block copolymers such as poly(alkylene
oxide) triblock copolymers.[11] In contrast,
reaction systems without added pore expanders generate pores typically
with a diameter of <5 nm.[11] The formation
of the mesoporous silica structure is governed by two major processes:
self-assembly of supramolecular templates and hydrolysis of tetraethyl
orthosilicate (TEOS) to silicic acid and its further condensation
to silica.[12] The reaction kinetics are
controlled by the addition of the catalyst to promote TEOS hydrolysis
and deposition of silica on the supramolecular template surfaces.
As an alternative to soft templating methods, hard templating, combined
soft and hard templating (i.e., multiple templating), and postsynthetic
treatments, such as etching, can be used for preparation of mesoporoussilica.[2,13,14] However, the
alternative strategies lack the simplicity and overall effectiveness
of the soft templating methods. Indeed, hard templating is limited
to preformed templates, and removal of the solid colloids is usually
very challenging and time-consuming. Instead, the combined soft and
hard templating methods allow the formation of advantageous architectures
with hierarchical porosity, although they do not overcome the limitations
related to hard templating. Postsynthetic treatments can be used to
enlarge the pore diameters of materials that primarily form narrow
pores. This, however, has few disadvantages because of the additional
reaction steps needed and the low uniformity of the pores formed in
the treated material. In general, centro-radial or stellate silica
pores are highly advantageous, as they offer an accessible large pore
compartment that can carry large therapeutic molecules, or they allow
the rapid access of reactants into catalyst-decorated pores as well
as the release of the products of the catalyzed reactions out of the
pores to the reaction liquid.[11,15]The scientific
community is actively seeking versatile solutions
for nanocomposite synthesis that combine advantageous properties such
as high magnetic responsiveness of the core material and the cargo
capabilities of the silica shell with preferentially, radially aligned
mesopores.[16−19] Magnetic nanocomposites can also be heated remotely by exploitation
of magnetic hyperthermia to selectively heat only the attached catalyst
that is close to the core nanoparticle hot spots, while the bulk of
the reaction mixture remains unheated to avoid undesired reactions
taking place in the reaction mixture during heterogeneous catalysis.[20,21] Moreover, the shape anisotropy of core magnetic nanoparticles represents
a novel means for controlled and remote cargo release.[22,23] This feature can be exploited when nanoparticles are exposed to
a low-frequency rotating magnetic field, as anisotropic magnetic nanoparticles
(i.e., nanochains and nanoplatelets) can follow this rotational movement
remotely and hence accelerate the transport of chemicals from the
pores. A similar strategy was demonstrated by Wan et al., where an
osteoclast inhibitor, zolendronate, was loaded into magnetic nanochains,
followed by its exposure to a rotating magnetic field.[24] The nanochains followed the rotational movement
and provided a high degree of osteoclast inhibition compared to nonrotating
zolendronate-loaded nanochains. This study also represents an elegant
interfacial coassembly approach for the synthesis of radially aligned
silica pores with a mean diameter of 7.3 nm on the surface of anisotropic
core particles. The same group also demonstrated a coassembly method
combined with a pore-expanding solvent where the pore size of the
mesoporous silica shell expanded up to 18 nm.[25]There is also a large literature on the synthesis of mesoporoussilica nanoparticles, while reports on the synthesis of mesoporoussilica shells with large radially aligned pores on core particles
(diameter > 30 nm) are relatively scarce. To the best of our knowledge,
the largest mean diameter of radially aligned pores achieved by simple
soft templating is 30 nm, which was reported recently by Kwon et al.[26] However, the largest pores achieved by using
high-molecular-weight amphiphilic blockcopolymers as pore expanders
were ∼36 nm in diameter, while the pore morphology was raspberry-like
rather than stellate.[27] In general, it
is broadly accepted that cetyltrimethylammonium bromide (CTAB)-based
systems allow the formation of pores that range in size from 4 to
7 nm, while addition of a pore expander increases this a little, to
pores of 8 nm in diameter.[7] Moreover, the
current approaches for the synthesis of uniform layers of radially
aligned large silica pores on the surfaces of core nanoparticles frequently
form a mixed product that includes undesired extra silica nanoparticles.[28] The formation of silica nanoparticles as a synthesis
byproduct is related to the challenges faced by an incomplete understanding
of the mechanisms of TEOS hydrolysis and silica nucleation and condensation
in the presence of soft templates, which results in poor control of
the relevant synthesis parameters. An in-depth understanding of the
crucial synthesis parameters, and hence of the mechanisms involved
to obtain a uniform layer of radially oriented large silica pores
on the surface of core nanoparticles, will therefore be beneficial
for the broader scientific community.Here, a simple synthesis
method is presented to obtain well-defined,
dual-mesoporous, and radially aligned silica pores with diameters
>40 nm. We believe that the silica shells of these magnetically
guidable
nanoparticles have the greatest diameter reported to date for such
radially aligned silica pores (Figure ). This study reveals the effects of each of the individual
synthesis parameters on growth of these radially aligned silica pores
on the surface of the magnetic nanochains, including for surfactant
concentration, type and amount of catalyst and organic solvent, amount
of silica precursor, reaction temperature and time, and stirring intensity.
This synthesis protocol allows fine-tuning of the porosity of the
silica layer, its thickness, and its specific surface area as well
as the orientation of the pores, and it avoids the formation of a
mixed product that contains undesired extra silica nanoparticles.
Furthermore, the magnetic responsiveness of the nanochains is well
preserved, which allows effective magnetic guidance that is suitable
for a number of diverse applications in technology and medicine. Moreover,
the versatility of the method is confirmed by its use with diverse
core nanoparticles in terms of their magnetic properties (i.e., superparamagnetic
and ferromagnetic), size (i.e., from a few nanometers to a submicrometer
scale), and shape geometries (i.e., spherical, chainlike, and disclike).
Finally, diverse core nanoparticles are successfully decorated with
a shell with radially aligned silica pores, including 10 nm spherical
nanoparticles, 92 nm superparamagnetic nanoparticles, and 3 nm thick
ferromagnetic hexaferrite nanoplatelets (mean diameter 50 nm) (Figure ).
Figure 1
(A–C) Schematic
representations of the differently shaped
core magnetic nanoparticles used in this study (A, C) and a single
radially aligned pore (B) obtained by using nanoscale droplets of
the organic solvent spatially confined as a dense cover on the surface
of the core nanoparticles—an interface coassembly. (D) Corresponding
representative transmission electron micrographs of the nanoparticles
coated with silica with radially aligned pores. Scale bars: 50 nm.
(A–C) Schematic
representations of the differently shaped
core magnetic nanoparticles used in this study (A, C) and a single
radially aligned pore (B) obtained by using nanoscale droplets of
the organic solvent spatially confined as a dense cover on the surface
of the core nanoparticles—an interface coassembly. (D) Corresponding
representative transmission electron micrographs of the nanoparticles
coated with silica with radially aligned pores. Scale bars: 50 nm.
Experimental Section
Materials
CTAB, citric acid, and aqueous ammonia solution
(25%) were from VWR Int. GmbH (Vienna, Austria); cyclohexane, n-hexane, and toluene were from Merck KGaA (Darmstadt, Germany);
triethylamine (TEA), triethanolamine (TEOA), 2-amino-2-(hydroxymethyl)propane-1,3-diol
(TRIS), iron(III) sulfate, and TEOS were from Sigma-Aldrich (St. Louis,
MO); sodium hydroxide (NaOH) was from Labochem Int. (Heidelberg, Germany);
dibenzyl ether, iron(II) sulfate, barium nitrate, iron(III) nitrate
nonahydrate, scandium(III) nitrate, and sodium dodecyl sulfate (SDS)
were from Alfa Aesar (Kandel, Germany); and ethyl acetate, nitric
acid (65%), and ethanol (absolute) were from Carlo Erba Reagents (Milan,
Italy). All of the reactants and reagents were used without additional
purification. Purified water was obtained from an Adrona E30 system
(Adrona Ltd., Riga, Latvia). Superparamagnetic nanochains (iNANOvative|chains)
and superparamagnetic nanoparticle clusters (iNANOvative|silica cr)
were provided by Nanos SCI (Nanos Scientificae Ltd., Ljubljana, Slovenia).
Core Nanoparticles
To show the versatility of this
method, different core nanomaterials were used. Superparamagnetic
nanochains (estimated particle density, 4030 kg m–3) and superparamagnetic nanoparticle clusters (estimated particle
density, 4260 kg m–3) were designed and synthesized
by the company Nanos SCI. The synthesis protocols have been described
in detail previously.[29,30]The hexaferrite nanoplatelets
were synthesized by using a hydrothermal method, as reported previously.[31,32] Briefly, barium nitrate, iron(III) nitrate, and scandium(III) nitrate
were dissolved in water (200 mL) to 125 mmol L–1 Ba2+, 562.5 mmol L–1 Fe3+, and 62.5 mmol L–1 Sc3+ and coprecipitated
with NaOH (1.13 mol) dissolved in water (200 mL). The reaction mixture
was then transferred to an autoclave (1 L; Inconel; Parr Instruments,
Moline, IL), and the autoclave was sealed and heated to 240 °C
at a heating rate of 3 °C min–1. The autoclave
was allowed to cool to room temperature; the nanoplatelets formed
were washed several times with water and 0.1 mol L–1 nitric acid and then dispersed in water (288 mL). The nanoplatelets
were further stabilized with citric acid. Here, 0.5 g mL–1 aqueous citric acid (12 mL) was added to the water suspension of
nanoplatelets. The pH was increased to 5.1 by using aqueous ammonia
solution (∼25%). The reaction mixture was heated to 80 °C
and vigorously stirred (∼750 rpm) for 90 min. The reaction
mixture was then allowed to cool to room temperature, and the pH was
increased further to 10.1 by using aqueous ammonia solution (∼25%),
followed by centrifugation at 3000g for 5 min, to
remove the excess citric acid. The nanoplatelets collected were redispersed
with dilute aqueous ammonia solution (30 mL) at pH 10.1. The citric
acid-stabilized barium hexaferrite nanoplatelets were coated with
a 2 nm thick layer of nonporous silica by using a modified Stöber
reaction. The citric acid-stabilized nanoplatelets were dispersed
in a mixture of absolute ethanol (960 mL), water (210 mL), and TEOS
(1.8 mL). The coating reaction was initiated by addition of aqueous
ammonia solution (∼25%, 9 mL), and the reaction mixture was
stirred at room temperature overnight. Finally, the silica-coated
nanoplatelets were washed several times with water.The superparamagnetic
iron oxide nanoparticles (SPIONs) were prepared
by coprecipitation of Fe2+ and Fe3+ ions from
aqueous solution, as reported previously.[33] Briefly, iron(II) and iron(III) sulfates were dissolved to final
concentrations of 27 mmol L–1 Fe2+ and
14 mmol L–1 Fe3+. Precipitation was initiated
by using aqueous ammonia (∼25%) in two steps.[33] First, the pH was adjusted to 3 and kept constant for 30
min. Then, the pH was increased to 11.6. After an additional 30 min,
the nanoparticles formed were collected by using a NdFeB magnet (Supermagnete,
Webcraft GmbH, Gottmadingen, Germany), washed three times with diluted
aqueous ammonia solution at pH 10.5, and then finally dispersed in
water (120 mL). The washed nanoparticles were further stabilized with
citric acid. Here, 0.5 g mL–1 citric acid aqueous
solution (5 mL) was added to the suspension of nanoparticles in water
(120 mL), and the pH was adjusted to 5.2 with aqueous ammonia solution
(∼25%). The reaction mixture was stirred in an oil bath at
80 °C for 90 min. The pH was then raised to 10.2 with aqueous
ammonia solution (∼25%). Next, the citric acid-stabilized SPIONs
were coated with 2 nm thick nonporous silica.[33] The pH of the SPION suspension was adjusted to 11 with aqueous ammonia
solution (∼25%), followed by addition of TEOS (2.5 mL) dissolved
in absolute ethanol (25 mL). The reaction mixture was stirred at room
temperature overnight. Finally, the nanoparticles were washed several
times with water and then dispersed in water.
General Procedure: Synthesis
of Mesoporous Silica on Core Nanoparticles
A general procedure
was developed for synthesis of the mesoporoussilica shell on all three types of core nanoparticles used in this
study. The supportive reactions were conducted to understand how each
individual reaction parameter influences the final properties and
morphology of the silica shells formed. These were based on changes
to the individual reaction parameters of the general procedure, such
as surfactant, catalyst, organic solvent, amount of silica precursor,
reaction temperature, reaction time, and stirring intensity. These
were examined separately, one at a time, while the other reaction
settings were kept constant according to the general procedure.In the general procedure, the CTAB surfactant (14.1 mmol) was dissolved
in water (45 mL) in a 250 mL flat-bottomed flask. When studying the
effects of surfactant on the silica shell properties, the CTAB was
increased by 2-fold (28.2 mmol) and 3-fold (42.3 mmol) and reduced
by a factor of 20 (0.71 mmol). An equimolar amount (14.1 mmol) of
SDS surfactant was also studied to determine the effects of oppositely
charged surfactants. Complete surfactant dissolution was achieved
in all cases except when CTAB was used at 3-fold. Then, the core nanoparticles
(60 mg) were dispersed by the surfactant solution. After 30 s of sonication
(Sonis 4; Iskra Pio, Slovenia) the flask was placed in an oil bath
at the set temperature of 65 °C, as used for the general procedure.
The other studied temperatures were room temperature, 40 °C,
75 °C, and 90 °C. Then, the base was added as the reaction
catalyst. In the general procedure, TEOA (0.9 mmol) was used as the
catalyst. To determine the effects of the amount of catalyst, the
TEOA added was increased by 3-fold (2.7 mmol) and 6-fold (5.4 mmol)
and reduced by a factor of 3 (0.3 mmol) compared to TEOA in the general
procedure. Moreover, a series of different catalysts were studied,
as TRIS, TEA, aqueous ammonia solution (∼25%), and NaOH, which
were used in equimolar amounts to the TEOA used in the general procedure
(TEOA, 0.9 mmol). Also, the silica precursor (i.e., TEOS) was dissolved
in an organic solvent and added to the reaction mixture in two equal
additions over 90 min. In the general procedure, TEOS (1.5 mmol) was
dissolved in cyclohexane (12 mL), and the reaction was initiated once
the TEOS dissolved in the organic solvent was added into the reaction
mixture. Where the volume of organic solvent was studied, the amount
of TEOS was unchanged (1.5 mmol), while the volume of cyclohexane
was increased by 3-fold (36 mL) and 6-fold (72 mL) and reduced by
a factor of 6 (2 mL) compared to the volume of cyclohexane in the
general procedure. Additionally, cyclohexane was replaced by different
types of organic solvents, as n-hexane, toluene,
dibenzyl ether, and ethyl acetate. n-Hexane, toluene,
and dibenzyl ether were studied at the same volume as cyclohexane
in the general procedure (12 mL). Ethyl acetate was also studied with
the volume reduced by a factor of 6 (2 mL) compared to the volume
of cyclohexane in the general procedure. Where the amount of silica
precursor was studied, the volume of cyclohexane used in the general
procedure was unchanged (12 mL), while the TEOS was increased by 3-fold
(4.5 mmol) and 9-fold (13.5 mmol) and reduced by a factor of 3 (0.5
mmol) compared to the TEOS in the general procedure. For all of the
experiments, the reaction mixtures were stirred at 600 rpm overnight,
with the exception of stirring at 300 and 900 rpm when the effects
of the mixing rate were examined. Once the reactions were complete,
the core–shell nanoparticles were collected from the suspension
by using a NdFeB magnet (Supermagnete, Webcraft GmbH, Gottmadingen,
Germany) and washed with ethanol, acetone, and distilled water.
Characterization of Nanoparticle Suspensions
Sample
micrographs were obtained by using transmission electron microscopy
(TEM; JEM 2100; JEOL, Akishima, Japan) at 200 kV. The nanoparticle
suspensions were deposited on copper TEM grids coated with carbon
(mesh, 200; SPI Supplies, West Chester, PA) and air-dried. The mesoporoussilica coating thickness was determined by analysis of the TEM micrographs
using the DigitalMicrograph software (Gatan, Plaesanton, CA) and an
image analyzer (Fiji ImageJ).[34] Gas adsorption–desorption
analysis was performed with nitrogen gas using a surface area and
pore size analyzer (NOVA 2000e; Quantachrome Instruments, Boynton
Beach, FL) to determine the pore size and size distribution, the total
pore volume (measured at P/P0 = 0.99), and the specific surface area (determined by the
Brunauer–Emmett–Teller method). The mean pore sizes
were calculated from the Barrett–Joyner–Halenda theoretical
model (addition of ca. 0.7 nm for the Broekhoff and de Boer or the
density functional theory equivalents). Of note, the Barrett–Joyner–Halenda
method is good for large pore quantification but can underestimate
the sizes of small pores, and so this needs to be taken into account
because these mesoporous core–shell nanomaterials have a dual-mesoporous
structure. The nanomaterials were washed with acetone and ethanol
to remove the residual surfactants from the silica pores and then
freeze-dried under vacuum before the gas adsorption–desorption
analysis. The hydrodynamic particle size was determined by dynamic
light scattering (DLS) (Analysette DynaSizer; Fritsch GmbH, Weimar,
Germany). Zeta-potential measurements were performed by using a particle
size analyzer (Litesizer 500; Anton Paar, Graz, Austria). Magnetic
measurements were performed at room temperature on a vibrating-sample
magnetometer (7307 VSM; Lake Shore Cryotronics, Westerville, OH),
with a maximum field of 10 kOe.
Results and Discussion
The present study was designed and developed by using nanochains
as the core particles, which are commercially available, magnetically
guidable, and anisotropic by shape and have superparamagnetic properties.
The nanochains were synthesized by magnetic assembly where a few spherical
nanocrystal clusters (i.e., 6 ± 3) with mean diameter of 92 ±
16 nm were aligned in a magnetic field and fixed with a 5 nm thick
silica shell to form nanochains of submicrometer length (Figure A,B).[35] The individual nanocrystal clusters were first
self-assembled with ∼60 superparamagnetic iron oxide nanocrystals
(diameter 10.4 ± 1.6 nm) that were the primary building blocks
for the assembled nanochains. The nanochains must be superparamagnetic
because their processing demands good colloidal stability of their
aqueous suspensions. The assembly of a large number of magnetic nanocrystals
into single entities increases the particle magnetic volume, which
results in effective translational movement of the nanochains in a
magnetic field gradient (Supporting Information, Figure S1). The nanochains had a high saturation magnetization MS of ∼48 emu g–1 and
were therefore ideal candidates for in-depth studies of the relevant
synthesis parameters used to obtain dual-mesoporous silica shells
with radially aligned pores. This is because of their high magnetic
responsiveness, which allows rapid magnetic separation and therefore
easy purification after synthesis. These nanochains are anisotropic,
and so once they are exposed to a low-frequency rotating magnetic
field, they behave as tiny “nanomixers” because they
can follow the rotational field movement remotely. This magnetic responsiveness
is a prerequisite for the development of advanced drug delivery and
catalytic systems where substantial amounts of active compounds, such
as drugs or catalysts, can be incorporated inside well-organized and
radially aligned silica pores. Large radially aligned pores (diameter
> 15 nm) on magnetic nanochains are especially attractive for these
applications.
Figure 2
(A–D) Representative transmission electron microscopy
micrographs
of magnetic nanochains before the coating with mesoporous silica (A,
B) and when coated with silica (using the general procedure) (C, D),
showing the radially aligned pores. Scale bars: 100 nm. (E, F) Representative
pore-size distribution (E) and the nitrogen adsorption–desorption
isotherms of the corresponding sample (F).
(A–D) Representative transmission electron microscopy
micrographs
of magnetic nanochains before the coating with mesoporous silica (A,
B) and when coated with silica (using the general procedure) (C, D),
showing the radially aligned pores. Scale bars: 100 nm. (E, F) Representative
pore-size distribution (E) and the nitrogen adsorption–desorption
isotherms of the corresponding sample (F).The general procedure yielded silica shells with radially aligned
(stellate) silica pores on the surface of the nanochains, with an
∼95 nm thick shell and dual mean silica pore diameters of 3.4
and 17 nm, with no extra silica nanoparticles formed (Figure C,D). The central sample produced
by following the optimized procedure is indicated as prepared by the
general procedure that is described in detail in the Experimental Section. The further investigation of the relevant
synthesis parameters was based on the general procedure developed
as the starting point for evaluation of the effects of each individual
parameter on the silica shell morphology.The approach for the
formation of the silica shells with defined
pores on the surface of the core particles was based on the well-accepted
soft-template method.[11] An interfacial
coassembly of soft-template components, such as surfactant-based micelles
and small nanoscale droplets of the organic solvent, has a crucial
role in the heterogeneous deposition and condensation of the silica
precursors on the surface of the core particles (Figure ).
Figure 3
(A) Photographs of CTAB
plus cyclohexane and CTAB plus toluene
gel-like formations performed spontaneously at 25 °C. (B–E)
Hydrodynamic size distributions of the combinations of the different
components of the reaction mixture at the concentrations of the general
procedure. (B) Micellar structures in aqueous CTAB solution at 25
°C. (C, D) Aqueous CTAB solution ± cyclohexane (C) and ±
toluene and ± tetraethyl orthosilicate (TEOS) (D) at 65 °C.
(E) Aqueous nanoparticle cluster suspensions ± base catalyst
± CTAB and ± cyclohexane at 65 °C. (F, G) Zeta-potential
distributions of the different reaction mixture components. (F) Effects
of temperature (25 and 65 °C) on aqueous CTAB solution plus reaction
catalyst at the concentration of the general procedure. (G) Effects
of organic solvent additions (cyclohexane and toluene) on aqueous
CTAB solution at 65 °C. (H) Effects of specific base catalyst
additions on zeta-potential of 92 nm nanoparticle clusters (NPs) at
25 and 65 °C.
(A) Photographs of CTAB
plus cyclohexane and CTAB plus toluene
gel-like formations performed spontaneously at 25 °C. (B–E)
Hydrodynamic size distributions of the combinations of the different
components of the reaction mixture at the concentrations of the general
procedure. (B) Micellar structures in aqueous CTAB solution at 25
°C. (C, D) Aqueous CTAB solution ± cyclohexane (C) and ±
toluene and ± tetraethyl orthosilicate (TEOS) (D) at 65 °C.
(E) Aqueous nanoparticle cluster suspensions ± base catalyst
± CTAB and ± cyclohexane at 65 °C. (F, G) Zeta-potential
distributions of the different reaction mixture components. (F) Effects
of temperature (25 and 65 °C) on aqueous CTAB solution plus reaction
catalyst at the concentration of the general procedure. (G) Effects
of organic solvent additions (cyclohexane and toluene) on aqueous
CTAB solution at 65 °C. (H) Effects of specific base catalyst
additions on zeta-potential of 92 nm nanoparticle clusters (NPs) at
25 and 65 °C.Dynamic light scattering
revealed the presence of particularly
small template components (∼3 nm) in reaction mixtures containing
either an aqueous solution of CTAB surfactant or an emulsion of CTAB
solution and organic solvent at 65 °C (reaction temperature of
the general procedure) (Figure C,D). The nanoscale colloid size of ∼3 nm corresponds
to CTAB micelles that are the smallest soft-template components and
the crucial element for formation of the silica shell with dual porosity.
Interestingly, addition of the organic solvents into the aqueous CTAB
solution formed gel-like structures at 25 °C, which made DLS
analysis impossible and silica-coating reactions particularly difficult
(Figure A and Figure S8A). Furthermore, the DLS suggested the
need to use the optimal reaction temperature, not only because of
gelling at 25 °C but also because colloids with hydrodynamic
sizes from ∼20 to ∼100 nm, and also >1 μm,
were
detected in the aqueous CTAB solution at 25 °C (Figure B). However, only a single
monodispersed population of micelles with mean hydrodynamic sizes
of ∼3 nm was detected at 65 °C (Figure C,D). As the CTAB solution was relatively
viscous at 25 °C, we assumed that these large objects that were
detected were air droplets formed by the intensive stirring (at the
same speed as for the reaction mixture) before the DLS measurements
were performed (Figure B). High surfactant concentrations that exceed the critical micellar
concentration by over 300-fold result in the formation of numerous
micelles and also in the emulsifying of the organic solvent into relatively
uniform nanoscale droplets at 65 °C (Figure C,D).[36] The hydrodynamic
sizes of the nanoscale droplets (i.e., reaction mixture without nanoparticles)
were from 10 to 25 nm when cyclohexane was used as organic solvent,
while toluene resulted in the formation of larger nanodroplets, with
sizes from 15 to 60 nm at the set temperature of 65 °C. Addition
of TEOS to the cyclohexane solvent resulted in very monodispersed
nanodroplets of the organic phase, with a smaller mean hydrodynamic
size of 32 nm compared to the emulsion system with cyclohexane only,
where the mean size was 36 nm (Figure D). A mixture of TEOS and cyclohexane resulted in smaller
droplets because the TEOS is prone to rapid hydrolysis at the droplet
interface, which then affects the droplet surface energy and hence
stabilizes smaller droplets. Furthermore, DLS measurements were also
performed for spherical 92 nm nanoparticle clusters in different reaction
mixture compositions, but not for chainlike or disclike particles,
because DLS can only be used reliably for measurements of spherical
nanoparticles (Figure E). The hydrodynamic size distributions of the aqueous spherical
nanoparticle cluster suspensions were significantly affected by the
addition of the different reaction mixture components (i.e., base
catalyst, CTAB, and cyclohexane) (Figure E). The suspension pH was increased from
6.5 to 9.9 when the general amount of the base catalyst TEOA was added
to the suspension, and this pH change increased the absolute value
of the zeta potential from −39.1 to −45.6 mV at the
reaction temperature of 65 °C (Figure H). Improved colloidal stability of the nanoparticles
at high pH (9.9) compared to low pH (6.5) resulted in decreased mean
hydrodynamic size, from 163 to 133 nm (Figure E). The reaction mixtures composed of nanoparticle
suspensions and CTAB, or cyclohexane and CTAB, increased the mean
hydrodynamic sizes of the nanoparticles to 296 and 332 nm, respectively.
CTAB micelles and nanoscale droplets of the organic phase had positive
zeta-potentials of above ∼45 mV (Figure F,G), and they were therefore strongly associated
with negatively charged nanoparticles (−45.6 mV) at 65 °C
(general procedure reaction temperature) (Figure H). This strong contact interaction between
positively charged soft-template components and the negatively charged
nanoparticle surface is the reason for the increased nanoparticles
hydrodynamic size. Indeed, the zeta-potential of cyclohexane-based
soft-templates (75.3 mV) was significantly higher compared to that
of toluene-based soft templates (45.2 mV), which suggested stronger
contact interactions between positively charged soft-template components
and negatively charged nanoparticles for the cyclohexane-based system
(Figure G). Furthermore,
the outermost surfaces of the micelles and nanoscale droplets were
composed of identical surfactant polar heads, which provided sufficient
electrostatic repulsion between the soft-template components and therefore
resulted in good colloidal stability of the reaction system. The nature
of the surfactant polar head is crucial to achieve the attractive
contact interaction between the surface of the core particles and
the soft-template components and to be able to deposit the silica
precursors on the surface of the micelles and nanoscale droplets.
The soft-template components need to form attractive electrostatic
interactions with the primary, thin, and nonporous silica surface
of core particles, which can be achieved as the positive polar heads
of the surfactant provides positively charged micelles and nanoscale
droplets (Figure F,G).
The strong affinity between the soft-template components and the silica
precursors originates from the zeta-potential of the silica, which
is negative at the alkaline pH at which the deposition of silica oligomers
usually takes place.[37] For example, replacing
positively charged CTAB with equimolar amounts of negatively charged
SDS while retaining the other reaction conditions of the general procedure
showed no changes and did not lead to the formation of additional
silica shells on the nanochain surfaces (Figure S2).The pore size distribution from the gas adsorption–desorption
analysis showed two peaks, which confirmed a bimodal distribution
that most likely originated from the small CTAB micelles and the larger
nanoscale droplets of the organic solvent, with mean pore diameters
of 3.4 ± 0.4 and 17 ± 5 nm, respectively (Figure E). The silica obtained by
using CTAB without an organic solvent was compact, which suggested
a requirement for organic solvents for the formation of very large
mesopores (Figure E). It was anticipated that thin silica walls, which support radially
aligned silica pore channels, contain small and uniform holes (∼3–4
nm) that are generated by uniform micelles, while large radially aligned
pores are obtained by silica precursor deposition onto the surface
of the nanoscale droplets of the organic solvent (Figure B). This is in agreement with
the hydrodynamic sizes of the nanoscale droplets of the organic solvent
cyclohexane, which were between 10 and 25 nm. We believe that the
silica pore growth direction is limited to the perpendicular according
to the core particle surface because other growth directions are spatially
restricted by the dense cover of the electrostatically attached nanoscale
droplets on the surface of the core particles (Figure B). A relatively broad pore size distribution
linked to the large nanoscale droplets of the organic solvent corresponds
to a conical shape of the silica pores. In addition, the nitrogen
adsorption–desorption isotherm of the sample produced by following
the general procedure showed a typical type IV curve with a narrow
capillary condensation step at a relative pressure of ∼0.65
to 0.85, which indicated cylindrical pores (Figure F). Data extraction from the adsorption branch
indicated that the samples produced by following the general procedure
had a high mean specific surface area of 577 m2 g–1 and a total pore volume of 1.817 cm3 g–1, which are the highest reported values for anisotropic magnetically
guidable core–shell nanomaterials.[7,26]
Figure 4
Representative
transmission electron microscopy micrographs of
the core–shell magnetic nanochains with diverse silica-shell
morphologies that resulted from the organic solvents that were used
as pore expanders. (A–D) Changes in the volume of cyclohexane
from the general procedure, where raspberry-like mesoporous silica
was synthesized with one-sixth the cyclohexane (A), while radially
aligned silica pores were synthesized in the general procedure (B)
and with 3-fold (C) and 6-fold (D) the cyclohexane volumes. (E) A
dense silica shell was obtained when no organic solvent was used.
(F–H) Core–shell nanochains with radially aligned pores
were prepared by replacing the cyclohexane of the general procedure
with the same volume of n-hexane (F), dibenzyl ether
(G), and toluene (H). Scale bars: 100 nm.
Representative
transmission electron microscopy micrographs of
the core–shell magnetic nanochains with diverse silica-shell
morphologies that resulted from the organic solvents that were used
as pore expanders. (A–D) Changes in the volume of cyclohexane
from the general procedure, where raspberry-like mesoporous silica
was synthesized with one-sixth the cyclohexane (A), while radially
aligned silica pores were synthesized in the general procedure (B)
and with 3-fold (C) and 6-fold (D) the cyclohexane volumes. (E) A
dense silica shell was obtained when no organic solvent was used.
(F–H) Core–shell nanochains with radially aligned pores
were prepared by replacing the cyclohexane of the general procedure
with the same volume of n-hexane (F), dibenzyl ether
(G), and toluene (H). Scale bars: 100 nm.
Surfactant
as a Soft-Template Agent
Surfactants are
the key element in the synthesis of mesoporous silica because they
form supramolecular soft-template components, such as the micelles
and small droplets of organic solvents that are crucial for pore structure
organization. Heterogeneously deposited silica embraces the soft-template
components and permanently preserves the mesoporous structure, while
the soft-template components can be removed easily once the deposited
silica is solidified and therefore self-supporting. The concentration
of the surfactant has an important role for efficient template assembly,
which is a prerequisite for the formation of well-defined mesoporoussilica and to avoid the formation of irregular supramolecular structures.[38] The CTAB concentration that was 2-fold that
used for the general procedure resulted in the formation of undesired
supramolecular assemblies, which supported the silica deposition and
hence the formation of planar silica sheets with holes (Figure S3). Indeed, such a relatively high CTAB
concentration increased the viscosity of the reaction mixture, which
led to ineffective mixing and therefore poor transport of the reagents.
With the CTAB concentration reduced by a factor of 3 from the general
procedure, this resulted in mixed products that contained well-formed
radially aligned silica pores on nanochains as well as undesired formless
silica deposits (Figure S4). Furthermore,
no silica was deposited on the nanochains when the CTAB concentration
was reduced by a factor of 20. When the positively charged surfactant
CTAB was replaced with the negatively charged SDS, there was no formation
of additional silica shells on the nanochain surfaces due to the repulsive
electrostatic interactions among the negatively charged species of
soft-template components, the silica precursors, and nanochains surfaces
(Figure S2).[39−41]
Silica Source
Tetraethyl orthosilicate was used as
the silica precursor across all of the experiments. The silica shell
thickness was proportional to the amount of silica precursor when
the TEOS concentration was reduced from the general procedure. For
example, when the TEOS concentration was increased by 3-fold, there
was formation of undesired silica deposits (Figure S5 and Table S1). Moreover, the
9-fold increase in TEOS concentration resulted in less of a decrease
in the silica shell thickness compared to that for the reduction of
the TEOS concentration by a factor of 3, while there was also a substantial
fraction of monodispersed mesoporous silica nanoparticles with mean
diameter of ∼60 nm (Figure S6 and Table S1). These data can be explained by the
instantaneous formation of a large number of small silica nuclei that
grew to mature silica nanoparticles by consuming a substantial part
of the hydrolyzed silica precursors that would otherwise be used for
synthesis of thicker silica shells.[28,42,43] Additionally, the formation of undesired extra silica
nanoparticles with TEOS concentration 3-fold the general procedure
was reduced from ∼5% to ∼2% by an increase in the stirring
rate from 600 to 900 rpm, which enhances the transport of the silica
precursors in the viscous reaction mixture (Table S1). Interestingly, with the 9-fold increase in the TEOS concentration
with the other reaction conditions unchanged, there was a decrease
in the pore size. This effect was gradual and ranged from 18 nm with
the TEOS concentration reduced by a factor of 3 to 12 nm for the 9-fold
TEOS concentration (compared to the general procedure; Table S1). Hence, it appears that the presence
of TEOS in cyclohexane affected the soft-template droplet size, which
then corresponds to the silica pore size (Table S1). Indeed, although TEOS is fully miscible with cyclohexane,
it is significantly less hydrophobic, which most probably affects
the formation of the smaller droplets of the inner emulsion phase,
therefore producing a smaller pore size.
Organic Solvent as a Pore
Expander
The organic solvent
is a crucial component of the reaction mixture as it affects the mean
diameter of the silica pores; thus, it can be used as a pore expander.
The organic solvent that contained TEOS represents the inner phase
of the emulsion system, where these nanoscale droplets associate with
the surface of the oppositely charged external particles in the water
phase. This process is known as interfacial coassembly because the
nanoscale droplets of the organic solvent occupy the core particle
surfaces electrostatically, while the silica is then deposited on
the interface between the organic phase and the outer aqueous phase.
The data here show that both the volume and type of organic solvents
have important roles in the formation of diverse silica pores (Table S2). Cyclohexane is recognized as an efficient
pore expander, and different volumes were initially examined for the
preparation of silica shells with mesopores (Figure A–D). A 3-fold increase in the cyclohexane
volume, compared to the general procedure, resulted in slightly thinner
silica shells, with a thickness of 83 nm and a mean pore size of 14
nm (Figure C). Then,
a 6-fold increase in the cyclohexane volume resulted in even thinner
silica shells, of 72 nm, while the mean pore size was greatly expanded,
to 40 nm (Figure D).
Reduced amounts of cyclohexane, such as by a factor of 6 from the
general procedure volume, resulted in raspberry-like, 5 nm thick silica
pores, with a silica shell thickness of ∼25 nm (Figure A). Moreover, the complete
absence of the solvent resulted in a compact silica shell of 25 nm
with negligible porosity (Figure E). This provides direct evidence to confirm that a
minimal volume of an organic solvent is required for effective pore
expansion. Both 3-fold and 6-fold increases in the cyclohexane volume
compared to the general procedure showed a small extent of the silica
precursors in the form of extra silica deposits (Figure S7). It appears that very large volumes of the organic
phase form droplets that are too large, and these are temporarily
not stable enough for interfacial coassembly to take place.The effects of different organic solvents on the morphology of the
mesoporous silica were also examined (Figure F–H). n-Hexane resulted
in formation of thin silica shells (thickness ∼ 40 nm) and
smaller pores (diameter ∼ 14 nm) (Figure F) compared to cyclohexane in the general
procedure (Figure B). The largest molecular size used as a pore expander was dibenzyl
ether (Figure G).
Here, the pores showed a diameter of 18 nm, which was not significantly
different than those obtained by using the same volume of cyclohexane
(Figure B and Table S2). However, although toluene is a smaller
molecule than dibenzyl ether, it resulted in formation of ∼90
nm thick shells and the largest radially aligned pores seen in this
study with a diameter of ∼41 nm (Figure H and Table S2). We can therefore conclude that there are no clear relationships
between the molecular size of the solvent and the silica pore size.
Also, as demonstrated by Shen et al., solvent hydrophobicity is an
important feature because it dictates the rapid diffusion of the hydrolyzed
silica precursor onto the nanoscale droplet interface, thereby stabilizing
the smaller pores.[44] The present study
confirms this finding because the smallest pores were seen by using
dibenzyl ether, which was the most nonpolar of these pore expanders.
Interestingly, ethyl acetate has also been used, although the nanochain
colloidal stability was disrupted because ethyl acetate is partially
miscible with the water phase. As a result of this instability, there
was no formation of mesoporous silica. To ensure better colloidal
stability of the nanochains, the volume of ethyl acetate was also
reduced by a factor of 6 from the general procedure with cyclohexane.
However, the nanochains remained stable, and the silica obtained was
compact and hence similar to that obtained by reduction of the volume
of cyclohexane by a factor of 6, and also to the system without organic
solvent added, which indicated the weak pore expanding behavior of
ethyl acetate.
A Base as a Reaction Catalyst
The
base used as the
catalyst for TEOS hydrolysis and nucleation represents another reaction
system component that can affect the final silica morphology. The
kinetics of TEOS hydrolysis directly govern the evolution rate of
the silica precursor in the reaction system, which is then deposited
either as a silica shell on the surface of the core particles or as
undesired extra silica nanoparticles or 2D silica sheetlike deposits
(Figures S5 and S6). We hypothesized that
the stronger base accelerated TEOS hydrolysis, which rapidly generated
numerous small silica nuclei that led to undesired extra silica nanoparticles.
As a result of this extra silica consumption, only part of the silica
precursors produced was used for silica shell growth on the core particles,
and therefore a thinner silica shell was formed. To confirm this hypothesis,
the effects of different strengths (i.e., alkalinities) of five bases
were studied in terms of the mesoporous silica morphology, with all
of these bases used at the same concentration (Figure ). The bases used were as follows: TEOA (pKa, 7.76), TRIS (pKa, 8.07), ammonia solution (pKa, 9.25),
TEA (pKa, 10.78), and NaOH (completely
dissociated).[45] Here, the silica shell
thickness decreased gradually from 95 to 20 nm with the use of bases
with increased alkalinity (Table S3). A
compact, 20 nm thick, nonporous silica shell was formed when NaOH
was used as catalyst, which represented the strongest base in the
series (Figure H).
Substantial amounts of extra silica nanoparticles and silica deposits
were generated with TEA and ammonia solution, which resulted in thinner
silica shells, with pore diameters of 38 and 45 nm, respectively.
On the other hand, both TEOA (Figure A–D) and TRIS (Figure E) favored the formation of mesoporous silica
shells on the core nanochains with thicker silica shells for mean
shell thicknesses of 95 and 86 nm, respectively. Interestingly, TEOA
and TRIS resulted in well-defined silica coatings with similar structures,
porosities, and thicknesses, which can be attributed to their relatively
similar chemical structures and pKa values.
Figure 5
Representative
transmission electron microscopy micrographs of
the core–shell magnetic nanochains with diverse silica shell
morphologies that resulted from the bases used as reaction catalysts.
(A–D) Changes in the amounts of TEOA added from the general
procedure, where core–shell nanochains with radially aligned
silica pores were synthesized with one-third the TEOA (A), with the
general procedure with TEOA (B), and with 3-fold the TEOA (C). A 6-fold
increase of the TEOA resulted in disordered pores with pore sizes
of 31 nm (D). (E–H) Core–shell nanochains with radially
aligned pores with pore sizes of 17, 21, and 19 nm were prepared by
replacing TEOA with the same amounts of TRIS (E), ammonia solution
(F), and TEA (G), respectively. A compact nonporous silica shell was
formed when NaOH was used as the catalyst (H). Scale bars: 100 nm.
Representative
transmission electron microscopy micrographs of
the core–shell magnetic nanochains with diverse silica shell
morphologies that resulted from the bases used as reaction catalysts.
(A–D) Changes in the amounts of TEOA added from the general
procedure, where core–shell nanochains with radially aligned
silica pores were synthesized with one-third the TEOA (A), with the
general procedure with TEOA (B), and with 3-fold the TEOA (C). A 6-fold
increase of the TEOA resulted in disordered pores with pore sizes
of 31 nm (D). (E–H) Core–shell nanochains with radially
aligned pores with pore sizes of 17, 21, and 19 nm were prepared by
replacing TEOA with the same amounts of TRIS (E), ammonia solution
(F), and TEA (G), respectively. A compact nonporous silica shell was
formed when NaOH was used as the catalyst (H). Scale bars: 100 nm.Furthermore, the effects of different amounts of
TEOA on the mesoporoussilica were examined. Increases in the TEOA above the general procedure
led to a gradual decrease in the silica shell thickness (Table S4). This behavior was in general agreement
with the trend observed by using a series of increased base strengths.
Finally, larger amounts of TEOA generated more alkaline conditions,
which was similar to replacing TEOA with a stronger base. The high
rate of silica precursors generation with the 6-fold increase in TEOA
led to less defined silica pores, although they showed a larger pore
size of 31 nm (Figure D).
Effects of Temperature, Reaction Time, and Stirring Rate
As well as the reaction components discussed above, the reaction
parameters are important for the fine-tuning of the mesoporous silica
properties, such as temperature, reaction time, and stirring rate.
The reaction temperature influences the rate of silica precursor hydrolysis
and condensation, where both of these processes were accelerated by
increased temperature. Moreover, the reaction mixture viscosity was
decreased by increased temperature, which enhanced the mass transport
of the reaction components as well as affecting the behavior of the
soft-template components. However, the reaction temperature was limited
by the solvent boiling point. We examined reaction temperatures from
20 to 90 °C, and the results are given in Table S5. It was determined experimentally that the reaction
temperature of 65 °C resulted in the desired well-formed silica
pores on the core particles, with no extra silica nanoparticles detected.
The reaction at room temperature was far from optimal because the
CTAB did not dissolve completely before the reaction took place, even
though it was stirred overnight, and therefore undesired extra silica
nanoparticles and poorly ordered compact silica shells were formed
(Figure S8). Similarly, the reaction temperature
of 40 °C had the same issues as those for room temperature. On
the other hand, the reaction temperature of 75 °C, which is close
to the boiling point of cyclohexane, generated moderate mixture foaming,
where the silica formed had a similar thickness to and smaller pores
than (∼10 nm) that prepared at 65 °C. A further reaction
temperature increase to 90 °C resulted in excessive boiling and
foaming, where the silica was formed was raspberry-like, with small
pores (∼5 nm) (Figure S8E).As the TEOS is admixed into the organic solvent, while the base is
added into the outer aqueous phase, the formation of silica precursors
is a relatively slow process that takes place only at the nanoscale
droplet interface. Our synthesis product was analyzed 90 min after
addition of the base when it was noted that the silica had just barely
started to form on the surface of the core nanochains. Typically,
the silica was condensed completely in 3 h if the base and TEOS were
both added into the aqueous or the water/ethanol solutions.[33] However, it appeared that there was an additional
way for us to control the silica shell thickness, simply by immediate
termination of the reaction. This can be achieved by rapid cooling
of the reaction mixture and isolation of the particles from the mixture
by magnetic separation.Finally, the stirring intensity also
has a role in the formation
of mesoporous silica. Yue et al. studied the effects of different
stirring rates on the structures of mesoporous silica shells, and
they reported that pore size can be controlled by tuning the stirring
intensity.[46] They thus showed that stirring
at 170 rpm generated pores of 5 nm, at 250 rpm generated pores of
9 nm, and at 500 rpm generated a bimodal size distribution with mean
pore sizes of 8.8 and 18.8 nm. Interestingly, Yue et al. also detected
rougher surfaces when the stirring rate was increased.[46] Here, an intense stirring rate of 900 rpm was
used to put extra energy into the relatively viscous reaction system,
which might result in better transport of the reagents to reduce the
formation of undesired silica deposits and silica nanoparticles. Although
an intense stirring rate of 900 rpm diminished the formation of undesired
silica nanoparticles when TEOS concentration was increased by 3-fold
(Table S1), such a high stirring rate generated
too intense foaming. When a stirring rate was reduced from 600 to
300 rpm, the reaction mixture in the general procedure appeared inhomogeneous
due to visible separation of cyclohexane phase from the water phase.
These changes in stirring rates showed no effect on the structures
of mesoporous silica shells. Hence, for the general procedure, a stirring
rate of 600 rpm was optimal to reduce foam generation, while the formation
of extra silica nanoparticles was also completely avoided.
Versatility
of the Method
The scientific community
is urgently looking for robust and fully transferrable methods for
mesoporous silica coatings on the surfaces of diverse core nanoparticles.
Here, we have demonstrated the broad applicability of the general
procedure to other nanomaterials with different magnetic properties,
shapes, and dimensions (Figure A–C). First, the general procedure without any modifications
was applied to spherical, superparamagnetic (saturation magnetization MS ∼ 64 emu g–1), and
small (10.4 ± 1.6 nm) iron oxide nanoparticles (Figure S9). A silica shell with large radially aligned pores
with silica thickness of ∼36 nm and mean diameter of ∼19
nm was produced. Furthermore, the versatility was also shown for spherical,
superparamagnetic (saturation magnetization MS ∼ 54 emu g–1), iron oxide nanoparticle
clusters (92 ± 16 nm) (Figure D–F), and highly anisotropic, platelet-like,
ferromagnetic (coercivity HC ∼
142 kA m–1; saturation magnetization MS ∼ 40 emu g–1), barium hexaferrite
nanoplatelets (Figure G–I), with a thickness of 3.8 nm and a mean cross-sectional
diameter of 52 ± 14 nm (Figure S9).
The nanoparticle clusters and hexaferrite nanoplatelets used as the
core nanoparticles had silica shells with radially aligned (stellate)
pores with silica shell thicknesses of 90 and 55 nm, respectively,
and mean pore sizes of 17 and 22 nm, respectively. Therefore, the
good applicability of the silica-coating method is shown here for
diverse core nanoparticles.
Figure 6
Representative transmission electron microscopy
micrographs with
increasing magnification of three different types of core–shell
magnetic nanoparticles with radially aligned silica pores: superparamagnetic
iron oxide nanocrystals (A–C), superparamagnetic nanocrystal
clusters (D–F), and hard-magnetic barium hexaferrite nanoplatelets
(G–I), generated after the coating process by using the general
procedure. Scale bars: 200 nm (A, D, G); 100 nm (B, E, H); 50 nm (C,
F, I).
Representative transmission electron microscopy
micrographs with
increasing magnification of three different types of core–shell
magnetic nanoparticles with radially aligned silica pores: superparamagnetic
iron oxide nanocrystals (A–C), superparamagnetic nanocrystal
clusters (D–F), and hard-magnetic barium hexaferrite nanoplatelets
(G–I), generated after the coating process by using the general
procedure. Scale bars: 200 nm (A, D, G); 100 nm (B, E, H); 50 nm (C,
F, I).Finally, the mechanical stability
of the silica shells on the core
particles was estimated by exposure of the suspensions to strong,
1 s long ultrasound pulses (3 min; volume = 10 mL; amplitude = 40%;
Sonics Vibra-Cell VC505) followed by overnight drying at 80 °C.
The TEM analysis confirmed good stability of the silica coating, with
its fully preserved mesoporous morphology (Figure S10).
Conclusions
In summary, we have
developed here a versatile, simple, soft-template-based,
and low-cost synthesis of hierarchical dual-mesoporous silica shells
on diverse core nanoparticles with a specific set of applicable pore
morphologies. Manipulation of the reaction parameters resulted in
synthesis of a wide variety of highly desired silica-shell morphologies
with hierarchical dual pore sizes from ∼3 to ∼40 nm,
with centro-radial or stellate and raspberry-like geometries. This
study reveals the effects of each individual synthesis parameter on
the growth of the mesoporous silica shells on the surface of magnetic
nanochains, in terms of surfactant concentration, type and amount
of catalyst and organic solvent, amount of silica precursor, reaction
temperature, reaction time, and stirring intensity. Precise characterizations
of the core nanoparticles with mesoporous silica coating revealed
the mechanisms involved and provided information to allow the further
and better design of diverse core–shell nanostructures. The
general procedure defined here was successfully applied to spherical
small nanoparticles and nanoparticle clusters as well as to ferromagnetic
hexaferrite nanoplatelets. The method is therefore fully versatile
and easy to apply to a plethora of diverse core nanoparticles.