Lucas Kuhrts1, Sylvain Prévost2, Daniel M Chevrier1,3, Péter Pekker4, Oliver Spaeker1, Mathias Egglseder1, Jens Baumgartner1, Mihály Pósfai4, Damien Faivre1,3. 1. Max Planck Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476 Potsdam, Germany. 2. Institut Laue-Langevin, 71 avenue des Martyrs, CS 20156, 38042 Cedex 9 Grenoble, France. 3. CNRS, CEA, BIAM, Aix-Marseille University, 13108 Saint-Paul-lez-Durance, France. 4. Research Institute of Biomolecular and Chemical Engineering, University of Pannonia, Egyetem u. 10, H8200 Veszprém, Hungary.
Abstract
Crystal formation via amorphous precursors is a long-sought-after gateway to engineer nanoparticles with well-controlled size and morphology. Biomineralizing organisms, like magnetotactic bacteria, follow such a nonclassical crystallization pathway to produce magnetite nanoparticles with sophistication unmatched by synthetic efforts at ambient conditions. Here, using in situ small-angle X-ray scattering, we demonstrate how the addition of poly(arginine) in the synthetic formation of magnetite nanoparticles induces a biomineralization-reminiscent pathway. The addition of poly(arginine) stabilizes an amorphous ferrihydrite precursor, shifting the magnetite formation pathway from thermodynamic to kinetic control. Altering the energetic landscape of magnetite formation by catalyzing the pH-dependent precursor attachment, we tune magnetite nanoparticle size continuously, exceeding sizes observed in magnetotactic bacteria. This mechanistic shift we uncover here further allows for crystal morphology control by adjusting the pH-dependent interfacial interaction between liquidlike ferrihydrite and nascent magnetite nanoparticles, establishing a new strategy to control nanoparticle morphology. Synthesizing compact single crystals at wetting conditions and unique semicontinuous single-crystalline nanoparticles at dewetting conditions in combination with an improved control over magnetite crystallite size, we demonstrate the versatility of bio-inspired, kinetically controlled nanoparticle formation pathways.
Crystal formation via amorphous precursors is a long-sought-after gateway to engineer nanoparticles with well-controlled size and morphology. Biomineralizing organisms, like magnetotactic bacteria, follow such a nonclassical crystallization pathway to produce magnetite nanoparticles with sophistication unmatched by synthetic efforts at ambient conditions. Here, using in situ small-angle X-ray scattering, we demonstrate how the addition of poly(arginine) in the synthetic formation of magnetite nanoparticles induces a biomineralization-reminiscent pathway. The addition of poly(arginine) stabilizes an amorphous ferrihydrite precursor, shifting the magnetite formation pathway from thermodynamic to kinetic control. Altering the energetic landscape of magnetite formation by catalyzing the pH-dependent precursor attachment, we tune magnetite nanoparticle size continuously, exceeding sizes observed in magnetotactic bacteria. This mechanistic shift we uncover here further allows for crystal morphology control by adjusting the pH-dependent interfacial interaction between liquidlike ferrihydrite and nascent magnetite nanoparticles, establishing a new strategy to control nanoparticle morphology. Synthesizing compact single crystals at wetting conditions and unique semicontinuous single-crystalline nanoparticles at dewetting conditions in combination with an improved control over magnetite crystallite size, we demonstrate the versatility of bio-inspired, kinetically controlled nanoparticle formation pathways.
The theory of nonclassical
nucleation conceptualizes the formation
of solids via condensed, noncrystalline transient particles. It has
been demonstrated in numerous examples that such prenucleation cluster-driven
processes can produce a variety of complex synthetic crystal architectures.[1] Similar strategies are employed in biomineralizing
organisms, where hybrid materials with tailored properties[2,3] are realized by a spatially controlled mineralization process directed
through additive-stabilized amorphous precursors.[4−7] Such biomineralization pathways
are the benchmark for the preparation of synthetic systems with equally
refined properties at ambient conditions.[8,9] Magnetotactic
bacteria, for example, produce magnetite (Fe3O4) nanoparticles precisely defined in size and morphology.[10] Intrigued by the biomimetic effect of poly(arginine)
additives on magnetite nanoparticle formation, we envision that the
presence of this simple polypeptide may impose a biomineralization
analogous pathway to obtain equal control over the crystal properties.[11] Although biomineralized magnetite crystals are
formed under environmental conditions via a transient, protein-stabilized
ferric (oxyhydr)oxide[12,13] and similar amorphous precursors
have been observed in synthetic magnetite,[14] no approach to rationalize and direct their crystallization has
yet emerged.The enhanced control in nonclassical crystal formation
is founded
on the formation of kinetically favored amorphous precursors and their
cascade-like solid-state transformation to the thermodynamically most
stable crystalline phase. Control over crystal growth can be induced
by altering the energy landscape of each involved solid-state transformation
by the presence of macromolecular[15] or
ionic additives.[6] However, a holistic theory
to predict the exact formation pathway has not yet emerged. This may
be due to numerous interdependent parameters prevalent in such precursor-driven
processes such as precursor attachment reaction kinetics, hydration
forces, and interaction energies at the amorphous/organic/mineralized
interface.[16] A better understanding of
these contributions will enable us to engineer organic/inorganic hybrid
systems as well as purely crystalline nanoscopic systems. However,
because of low concentration,[17] low density,
and strong hydration of the involved amorphous precursors, temporally
and structurally resolving their involvement in crystallization pathways
in their native environment to infer a mechanism remains challenging.Herein, we study the biomimetic synthesis of magnetite in the presence
of the simple polypeptide, poly(arginine), with high brilliance synchrotron
small-angle X-ray scattering (SAXS) to observe the growth process in situ. In brief, magnetite was coprecipitated in aqueous
alkaline solution from ferrous and ferric chloride (molar ratio 1:2)
in the presence of poly(arginine) (see section SI1 of the Supporting Information) and scattering patterns
recorded at different time points (see section SI4). While pure magnetite is notoriously difficult to synthesize
in a controlled manner under ambient aqueous conditions due to the
low-concentration supersaturation limits of ferrous and ferric chloride,
our results indicate that an uncommon but well-defined nanocrystal
morphology forms by the surface-wetting properties of a polymer-stabilized
precursor phase in the presence of poly(arginine). This wettability
can be quantified with respect to pH, leading to a semicontinuous
single crystal at high pH and low wettability.
Results and Discussion
Magnetite nanoparticles formed in the presence of poly(arginine)
exhibit a morphological transition from compact (pH 9–10) to
substructured single crystals (pH 11), visible in TEM micrographs
(Figure A–C).
Moreover, their size increases with increasing pH, opposed to what
is observed for additive free magnetite (Figure SI8). The origin of both effects induced by poly(arginine)
remained so far elusive. We thus measured in situ SAXS to temporally resolve magnetite formation at pH 9, 10, and
11 (Figure D–F).
Because of a higher X-ray contrast against water, the scattering signal
arises predominantly from condensed iron species, while poly(arginine)
remains invisible. We hence observe during the first 15 min (pink
curves) the signal characteristic of a sub-10 nm low-dimensionality
iron fluctuation. After 30 min (violet curves), intensity oscillations
emerge indicative of solid nanoparticles. Finally, particles form
chainlike aggregates after 90 min.
Figure 1
(A–C) Representative TEM micrographs
(scale bar 200 nm)
for particles grown for 2 h at pH 9, 10, and 11, with corresponding
mean sizes. The HRTEM (scale bar 10 nm) images (top right) emphasize
a morphological transition between pH 10 (B) and 11 (C) from dense
to substructured nanoparticles. Corresponding FFTs (inset bottom right)
show single crystalline diffraction and can be indexed according to
the inverse spinel structure of magnetite. (D, E) Corresponding time-resolved in situ SAXS data of the syntheses at pH 9, 10, and 11.
Different colors indicate time windows when different scattering contributions
are dominant including amorphous, low-dimensionality iron structures
(0–15 min), solid nanoparticles (15–90 min), and chainlike
aggregates (90–120 min).
(A–C) Representative TEM micrographs
(scale bar 200 nm)
for particles grown for 2 h at pH 9, 10, and 11, with corresponding
mean sizes. The HRTEM (scale bar 10 nm) images (top right) emphasize
a morphological transition between pH 10 (B) and 11 (C) from dense
to substructured nanoparticles. Corresponding FFTs (inset bottom right)
show single crystalline diffraction and can be indexed according to
the inverse spinel structure of magnetite. (D, E) Corresponding time-resolved in situ SAXS data of the syntheses at pH 9, 10, and 11.
Different colors indicate time windows when different scattering contributions
are dominant including amorphous, low-dimensionality iron structures
(0–15 min), solid nanoparticles (15–90 min), and chainlike
aggregates (90–120 min).To retrieve quantitative time-dependent structural information,
we used an analytical scattering model (see the Supporting Information for an explanation) to fit the SAXS
data. We employ three time-varying scattering contributions to describe
the full data set, exemplarily shown for the scattering signal of
the last time point of the synthesis in Figure A. In brief, all in situ SAXS data (Figure SI4) can be fitted
with three scattering contributions. First, we modeled a time-varying
contribution of a solid spheres form factor, from which we retrieve
concentration and size (Figure C) of the magnetite nanoparticles. The second contribution
originates from amorphous low-dimensionality iron fluctuations that
are best described by a fractal form factor[18] with a time- and pH-independent correlation length of around 4 nm
and a fractal dimension of 2.2, showing a time-varying concentration
(Figure B). At later
stages, the third contribution from chainlike aggregates are modeled
with a pair potential structure factor. The temporal evolution of
the amorphous, low-dimensionality iron fluctuation concentration (Figure B) indicates their
role as precursors in the formation of magnetite; their concentration
indeed increases for all pH conditions with a first-order reaction
kinetic constant of ki,pre = 0.089 nm/s
and is decreased after 300 s to a rate of kgr,pre = 0.002 nm/s. This decrease correlates with the appearance of nanoparticles
(Figure SI9), demonstrating that the low-dimensionality
iron fluctuation is consumed in the formation of nanoparticles qualifying
them as a transient precursor phase. Because of the consistent retardation
of precursor concentration in combination with constant nanoparticle
number density (Figure SI5C), we infer
that the nanoparticles grow by a discrete addition of precursors,
which is independently confirmed by a model-free SAXS data analysis
(Figure SI5A,B).[19] SAXS data further resolve the nanoparticle size as a function of
time (Figure C), which
can be used to identify the growth mechanism. We fit the growth for
all pH with the rate law R(t) = kR·t1/α, yielding the growth rate kR and the
growth exponent α from which the growth mechanism can be inferred.
While magnetite in the absence of additives exhibits reaction limited
growth (α = 1),[20] we find a significant
retardation (α = 2.6) of the growth mechanism when poly(arginine)
is added for all pHs. This growth exponent, however, does not correspond
to any reported particle growth mechanism. Additionally, while rate
constants for pure magnetite scale inversely with pH,[20] we find an inverse behavior when poly(arginine) is added
with kR,9 = 1.25, kR,10 = 1.40, and kR,11 = 1.79 nm
s–1/α. Both the change in the growth exponent
and the inversion of the pH-dependent growth rate indicate a fundamental
change in the formation mechanism of magnetite when poly(arginine)
is added to the synthesis. To further understand the effect of poly(arginine)
on magnetite formation, we studied the iron phases at early (5 min)
and later (20 min) time points with and without the addition of poly(arginine).
Comparing radial distribution functions obtained from cryo extended
X-ray absorption fine structure (EXAFS) measurements at the iron K-edge
(Figure ), we show
that both 5 min samples exhibit an iron local structure similar to
that in ferrihydrite (higher Fe–O contribution at ≈1.5
Å, lower Fe–Fe contribution at ≈2.5 Å, not
phase shift corrected), supported by quantitative linear combination
fits shown in Figure SI3. With the addition
of poly(arginine), this local structuring persists in the 20 min sample,
whereas without the addition of poly(arginine) the local iron coordination
resembles more strongly that of magnetite.
Figure 2
(A) Analytical description
of single scattering curve of final
product to illustrate contributions of form factors (lines) and structure
factor (cross) to unified scattering model (solid line) used to fit
all time-dependent SAXS data. Time-dependent parameters, including
(B) the forward scattering of precursors, proportional to their concentration,
and (C) the radius of solid nanoparticles with shaded areas indicating
the standard deviation in particle size. The nanoparticle growth is
fitted with a growth law excluding the last data points, where the
growth dynamics flattens off. From the fits we obtain the kinetic
constant that scales with pH as kR,9 =
1.25, kR,10 = 1.40, and kR,11 = 1.79 nm s–1/α with a consistent
growth exponent of 2.6.
Figure 3
Iron-centered radial
distribution functions of aliquots taken from
the synthesis after 5 and 20 min with and without the addition of
poly(arginine) at pH 11 compared with magnetite and ferrihydrite references.
With the addition of poly(arginine), the iron coordination resembles
that of ferrihydrite for both time points. In the absence of poly(arginine),
ferrihydrite-like iron coordination is observed for the early time
point, while after 20 min mostly magnetite is observed.
(A) Analytical description
of single scattering curve of final
product to illustrate contributions of form factors (lines) and structure
factor (cross) to unified scattering model (solid line) used to fit
all time-dependent SAXS data. Time-dependent parameters, including
(B) the forward scattering of precursors, proportional to their concentration,
and (C) the radius of solid nanoparticles with shaded areas indicating
the standard deviation in particle size. The nanoparticle growth is
fitted with a growth law excluding the last data points, where the
growth dynamics flattens off. From the fits we obtain the kinetic
constant that scales with pH as kR,9 =
1.25, kR,10 = 1.40, and kR,11 = 1.79 nm s–1/α with a consistent
growth exponent of 2.6.Iron-centered radial
distribution functions of aliquots taken from
the synthesis after 5 and 20 min with and without the addition of
poly(arginine) at pH 11 compared with magnetite and ferrihydrite references.
With the addition of poly(arginine), the iron coordination resembles
that of ferrihydrite for both time points. In the absence of poly(arginine),
ferrihydrite-like iron coordination is observed for the early time
point, while after 20 min mostly magnetite is observed.We propose a formation mechanism (Figure ) for the biomimetic magnetite nanoparticles
originating from a polymer-stabilized, amorphous ferrihydrite-like
precursor exhibiting a pH-independent structure (Figure A, 1–2). A similar precursor
phase has been proposed—but never experimentally detected—for
the coprecipitation reaction to form magnetite[20,21] and under low-pH, low-driving-force conditions for phase separator
in iron solutions.[22] Equally, for the biomineralization
in magnetotactic bacteria ferrihydrite-like precursors have been identified.[12,13] EXAFS data suggest a polymer-induced kinetic stabilization of the
ferrihydrite against condensation to magnetite. Such metastability
of transient ferrihydrite precursors has been demonstrated for iron
oxides with small nanoparticle sizes and large surface area.[23] We similarly propose that the presented stabilization
is induced by poly(arginine) counteracting the agglomeration of amorphous
ferrihydrite particles,[24] which thus retain
a size of 4 nm where ferrihydrite can be considered thermodynamically
stable with respect to magnetite.[25] Consequently,
the transformation to a magnetite seed particle (Figure A, 3–4) must be induced
by crossing a critical precursor size, either by aggregation or by
growth.
Figure 4
(A) Proposed mechanisms of magnetite (Mt) formation in the presence
of poly(arginine), including the precipitation of the ferrihydrite
(Fh) precursor (1) and its stabilization by poly(arginine) (2) prior
to the growth-induced (3) self-condensation (4) to form a magnetite
seed particle. We identify three steps that determine the final particle
size and morphology: (5) the pH-dependent precursor attachment, quantified
by the rate constant kR, (6) the pH-dependent
precursors migration, determining the final morphology (compact at
pH 9–10 or substructured at pH 11), and (7) the precursor condensation,
inducing single-crystalline properties via homoepitaxy. The extent
of precursor migration, which is dependent on the surface energy of
ferrihydrite at the magnetite/water interface, is quantified by using
the Young–Laplace equation, γMt,H = γPre,Mt + γPre,H cos(θ). At higher alkalinity, the contact angle, θ,
increases due to a surface charging of ferrihydrite and magnetite.
The wetting-induced structure is fixed during the magnetite/ferrihydrite
solid-state transformation. (B) From a 3D reconstruction obtained
from HAADF STEM tomography, a particle obtained at pH 11 is virtually
sliced (inset) revealing subunits crystallized at high contact angles,
highlighting the discontinuous nature of the formed particles.
(A) Proposed mechanisms of magnetite (Mt) formation in the presence
of poly(arginine), including the precipitation of the ferrihydrite
(Fh) precursor (1) and its stabilization by poly(arginine) (2) prior
to the growth-induced (3) self-condensation (4) to form a magnetite
seed particle. We identify three steps that determine the final particle
size and morphology: (5) the pH-dependent precursor attachment, quantified
by the rate constant kR, (6) the pH-dependent
precursors migration, determining the final morphology (compact at
pH 9–10 or substructured at pH 11), and (7) the precursor condensation,
inducing single-crystalline properties via homoepitaxy. The extent
of precursor migration, which is dependent on the surface energy of
ferrihydrite at the magnetite/water interface, is quantified by using
the Young–Laplace equation, γMt,H = γPre,Mt + γPre,H cos(θ). At higher alkalinity, the contact angle, θ,
increases due to a surface charging of ferrihydrite and magnetite.
The wetting-induced structure is fixed during the magnetite/ferrihydrite
solid-state transformation. (B) From a 3D reconstruction obtained
from HAADF STEM tomography, a particle obtained at pH 11 is virtually
sliced (inset) revealing subunits crystallized at high contact angles,
highlighting the discontinuous nature of the formed particles.The formed magnetite seeds further grow by precursor
attachment
(Figure A, 5) at increased
rates at higher alkalinity. As particle diffusion is not dependent
on pH, we identify the reaction of precursor attachment as the rate-limiting
step. The increased reaction rate (kR)
at higher alkalinity can thus be deduced from the catalysis of the
involved nucleophilic oxolation reaction.[14] Thermodynamics predicts a slower growth of additive-free magnetite
at increased alkalinity due to a lowering of the magnetite/water surface
tension decreasing the critical size at which a crystal seed is considered
stable[17,20,26,27] (a more detailed description can be found in section SI3.1) Oppositely, the addition of poly(arginine)
induces a kinetically controlled growth that is accelerated at higher
pH. The inversion of the pH-dependent growth rates can thus be interpreted
as a shift from a thermodynamically controlled reaction in the absence
of poly(arginine)[20] to a kinetically controlled
reaction in the presence of poly(arginine).[28]While pH not only affects particle growth rates, it further
determines
the morphology of magnetite nanoparticles, leading to compact particles
at low alkalinity and substructured crystals at high alkalinity. We
propose this transition to emerge from a pH-dependent change in interfacial
energy between the precursor and the magnetite/water interface. Approximating
the ferrihydrite precursor as a liquid,[29] we treat its interaction with magnetite as a wetting process (schematically
shown in Figure A,
6). Consequently, the precursor wettability is quantified by using
the simplified Young’s relation, relating the contact angle
between the magnetite nanoparticle (Mt) and the precursor (pre) to
their interfacial tension, γ. An increase in pH increases the
surface charge density of ferrihydrite and magnetite by shifting the
protonation equilibrium of surface hydroxyl groups. Assuming the change
in surface charge changes the surface tensions of magnetite/water
(γMt,H) and precursor/water (γpre,H) alike,[30] we
establish a direct proportionality (full derivation from Young’s
relation in section SI2.2) between pH and
contact angle viaThis limited interaction between magnetite
and precursor at increased alkalinity—known as dewetting—accordingly
allows us to explain all observed nanoparticle morphologies in this
study. For pH 9 and 10, a low contact angle induces complete precursor
wetting and thus compact nanoparticles. In contrast, the increased
γMt,pre induces dewetting at pH 11. The shape of
the ferrihydrite precursors is preserved during the transformation
to magnetite and persists due to the low solubility of magnetite,
where atomic rearrangement processes are kinetically hindered. The
thermodynamically unfavored substructured morphology is thus conserved
in the final product visible in 3D rendered volume reconstruction
(Video SI1) obtained from HAADF STEM tomography
(Figure C). The proposed
dewetting leads to bulges of magnetite on the nanoparticle surface
(inset, Figure C)
that are overgrown by consecutively crystallizing precursor, resulting
in a semicontinuous crystal exhibiting single-crystal diffraction
(FFT inset, Figure C). A further increase to pH 12 hampers magnetite/precursor interaction
to an extent where precursor self-condensation is favored resulting
in predominantly small magnetite nanoparticles (Figure SI8). All observed nanoparticle morphologies exhibit
single-crystalline properties originating from the homoepitaxial transformation
of the precursor, where ferrihydrite assumes the crystallographic
order of its subphase magnetite. Combining the pH-dependent wettability
of the ferrihydrite precursors with its homoepitaxial transformation,
this mechanism can account for the previously elusive single-crystalline
properties of the substructured nanoparticles properties.[31]Understanding the here-presented formation
pathway enables us to
lift former synthesis limitations that resulted in a previously reported
arrest of nanoparticle growth after 2 h.[31] Because of the continuous addition of iron chloride to the synthesis
vessel, the released counterion (NaCl) concentration increases to
10 mM after 2 h screening the charges of poly(arginine), suppressing
its interaction with the precursor.[32] In
a separate synthesis, we demonstrate by TEM (Figure ) that an initial addition of 10 mM NaCl
and other monovalent of counterions (NaBr and KCl, Figure SI6) leads to the predicted formation of nanoparticles
with ill-defined morphologies (Figure SI7), similar to what is expected for additive-free magnetite. In a
second synthesis approach, we aimed to overcome the presented growth-inhibiting
effects of the counterions. This was achieved by increasing the synthesis
volume—diluting the released counterions—prolonging
for a given iron addition rate the unhindered growth time of the nanoparticles.
As a result, we can grow particles for 20 h and obtained compact magnetite
nanoparticles at pH 9 and 10 with dimensions up to 50 nm and substructured
crystals with dimensions up to 100 nm (Figure ). Overall, we demonstrate how a bio-inspired
approach in combination with a rationally designed nanoparticle synthesis
can yield similar control over particle size and morphology as exhibited
by magnetotactic bacteria,[33] establishing
the coprecipitation reaction as a synthesis route under ambient, aqueous
conditions yielding size and shape control of magnetite comparable
to conventional routes requiring elevated temperatures or organic
solvents.[34,35]
Figure 5
TEM micrograph of magnetite nanoparticles synthesized
at pH 11
for 2 h with an initial addition of 10 mM NaCl. Nanoparticle morphology
resembles that of additive-free magnetite. The electron diffraction
patterns (inset) is indexed according to the inverse spinel structure
of magnetite. Scale bar represents 200 nm.
Figure 6
TEM images
(scale bar 50 nm) of particles produced by redesigned
synthesis protocol, grown for 20 h at pH 9, 10, and 11 (A–C)
reaching sizes of 50 nm for solid and sizes up to 100 nm for substructured
nanoparticles. The FFTs/SAED (top inset) were indexed according to
the inverse spinel structure of magnetite and show single crystalline
diffraction for all pH.
TEM micrograph of magnetite nanoparticles synthesized
at pH 11
for 2 h with an initial addition of 10 mM NaCl. Nanoparticle morphology
resembles that of additive-free magnetite. The electron diffraction
patterns (inset) is indexed according to the inverse spinel structure
of magnetite. Scale bar represents 200 nm.TEM images
(scale bar 50 nm) of particles produced by redesigned
synthesis protocol, grown for 20 h at pH 9, 10, and 11 (A–C)
reaching sizes of 50 nm for solid and sizes up to 100 nm for substructured
nanoparticles. The FFTs/SAED (top inset) were indexed according to
the inverse spinel structure of magnetite and show single crystalline
diffraction for all pH.
Conclusion
In
conclusion, we present an in situ time-resolved
SAXS study monitoring the bio-inspired formation of magnetite nanoparticles
from a polymer-stabilized, amorphous ferrihydrite precursor. We thus
provide further evidence of the presence of ferrihydrite as a transient
precursor in the synthetic coprecipitation of magnetite. The addition
of poly(arginine) shifts the reaction control from thermodynamic to
kinetic, directing nanoparticle growth via precursor attachment reactions
and explaining the elusive inversion of the magnetite size dependence
on pH.[17] The unexpected wetting of the
liquidlike precursor and the consecutive homoepitaxial crystallization
induce single-crystalline properties. These properties are even observed
within the substructured, discontinuous nanoparticles obtained at
high pH, which—not complying to the classification of a mesocrystal[36]—can be regarded as semicontinuous single
crystals. From this work, we demonstrate how a bio-inspired kinetic
pathway can be rationalized to attain control over nanoparticle formation,
leading to continuously tunable nanoparticle size with adjustable
morphology. Underlining the predictive nature of the presented mechanism,
we were able to overcome previously encountered particle size limitations
in the coprecipitation of magnetite at ambient conditions. Whereas
previous studies have highlighted the effect of anionic macromolecules
and isolated proteins in the biomineralization[37] and synthetic formation[38] of
magnetite, we underline the significant mechanistic changes induced
by a polycation. In contrast to classical wet-chemical routes, where
surfactants are used to control nanoparticle morphology by inhibiting
the growth of certain crystal faces,[34,35] the crystallization
from amorphous precursors that are shaped by interfacial interaction
energy with its subphase magnetite introduces a new approach to control
size and morphology of nanoparticles.
Authors: Giulia Mirabello; Alessandro Ianiro; Paul H H Bomans; Takuto Yoda; Atsushi Arakaki; Heiner Friedrich; Gijsbertus de With; Nico A J M Sommerdijk Journal: Nat Mater Date: 2019-10-21 Impact factor: 43.841
Authors: Andrea E Rawlings; Lori A Somner; Michaela Fitzpatrick-Milton; Thomas P Roebuck; Christopher Gwyn; Panah Liravi; Victoria Seville; Thomas J Neal; Oleksandr O Mykhaylyk; Stephen A Baldwin; Sarah S Staniland Journal: Nat Commun Date: 2019-06-28 Impact factor: 14.919
Authors: Lucas Kuhrts; Elena Macías-Sánchez; Nadezda V Tarakina; Ann M Hirt; Damien Faivre Journal: J Phys Chem Lett Date: 2019-09-04 Impact factor: 6.475