Tímea Hegedűs1, Dóra Takács2, Lívia Vásárhelyi1, István Szilágyi2, Zoltán Kónya1,3. 1. Department of Applied and Environmental Chemistry, University of Szeged, Szeged H-6720, Hungary. 2. MTA-SZTE Lendület Biocolloids Research Group, Interdisciplinary Excellence Center, Department of Physical Chemistry and Materials Science, University of Szeged, H-6720 Szeged, Hungary. 3. MTA-SZTE Reaction Kinetics and Surface Chemistry Research Group, Szeged H-6720, Hungary.
Abstract
The charging and aggregation properties of boron nitride nanospheres (BNNSs) were investigated in the presence of electrolytes of different compositions and valences in aqueous suspensions. The influence of mono- and multivalent cations (counterions) and anions (coions) on the colloidal stability of the negatively charged particles was studied over a wide range of salt concentrations. For monovalent ions, similar trends were determined in the stability and charging of the particles irrespective of the salt composition, i.e., no ion-specific effects were observed. Once multivalent counterions were involved, the critical coagulation concentrations (CCCs) decreased with the valence in line with the direct Schulze-Hardy rule. The dependence indicated an intermediate charge density for BNNSs. The influence of the coions on the CCCs was weaker and the destabilization ability followed the inverse Schulze-Hardy rule. The predominant interparticle forces were identified as electrical double-layer repulsion and van der Waals attraction. These findings offer useful information to design stable BNNS dispersions in various applications, where mono- and multivalent electrolytes or their mixtures are present in the samples.
Thecharging and aggregation properties of boron nitride nanospheres (BNNSs) were investigated in the presence of electrolytes of different compositions and valences in aqueous suspensions. The influence of mono- and multivalent cations (counterions) and anions (coions) on thecolloidal stability of the negatively charged particles was studied over a wide range of saltconcentrations. For monovalent ions, similar trends were determined in the stability and charging of the particles irrespective of thesaltcomposition, i.e., no ion-specific effects were observed. Once multivalent counterions were involved, thecritical coagulation concentrations (CCCs) decreased with the valence in line with the direct Schulze-Hardy rule. The dependence indicated an intermediate charge density for BNNSs. The influence of thecoions on theCCCs was weaker and the destabilization ability followed the inverse Schulze-Hardy rule. The predominant interparticle forces were identified as electrical double-layer repulsion and van der Waals attraction. These findings offer useful information to design stable BNNS dispersions in various applications, where mono- and multivalent electrolytes or their mixtures are present in the samples.
Boron nitride (BN) is a widely studied
inorganic nanomaterial;
it exists in several crystalline forms.[1] Among them, hexagonal BN (h-BN) is of special interest since h-BN
possesses a similar structure to graphene with alternating B and N
atoms in a planarhexagonal lattice.[2] TheB–N covalent bond, in contrast to theC–Cbonds in graphene,
manifests an ioniccharacter owing to the electronegativity of theN atoms.[3] Two-dimensional (2D) h-BN nanomaterials
have been extensively studied in the past few years.[4] However, sheets of h-BNare able to stack into multilayers
to form 3D nanostructures such as BN nanospheres (BNNSs)[5] or wrap into BN nanotubes (BNNTs).[6] These are promising materials; accordingly, they
show distinct electronic and optical properties compared to their
isoelectroniccounterpart.[7] Both BNNSs
and BNNTs display outstanding features, such as high thermal stability
and conductivity,[8] chemical inertness,[9] corrosion, and oxidation resistance.[10]Due to the above-mentioned properties,
BNNSs have been proposed
in many applications, for instance, as an effective spherical catalyst
support.[11−13] It was recently shown that BNNSs possess considerable
biocompatibility[6,14] and water dispersibility[15] compared to carbon materials; therefore, medical
applications have emerged.[15,16] For instance, targeted
drug delivery has also been considered.[17,18] The application
of BN-based nanomaterials in boron neutron capture therapy (BNCT)
for the treatment of cancer yielded very promising results.[19,20] Since these materials contain a substantial number of boron atoms,
BNNSscan serve as boron sources in BNCT, and the spherical shape
is especially advantageous due to the large contact area with cell
membrane receptors.[14]Most of these
applications rely on BN particles dispersed in a
liquid medium, most frequently in an aqueous environment; therefore,
the investigation of thecolloidal stability of BN suspensions in
different ionic media is required for their utilization in specific
applications. Despite the fact that ion-specific effects have shown
a significant influence on thecharging and aggregation properties
of different colloidal particles in aqueous samples,[21−24] this issue has not been explored for BN dispersions so far.In general, theclassical theory developed by Derjaguin, Landau,
Verwey, and Overbeek (DLVO)[25,26] predicts thebehavior
of charged colloidal particles suspended in electrolyte solutions
taking into account the attractive van der Waals and repulsive electric
double-layer interparticle forces. Such dispersions are stable at
low saltconcentrations and they tend to aggregate with increasing
electrolyte concentrations. The transition point between the reported
slow and fast aggregation regimes is denoted thecritical coagulation
concentration (CCC).[27]The DLVO theory
only considers theconcentration and the valence
of the electrolyte constituents through the ionic strength, while
thechemical nature of the ions is disregarded. Therefore, it predicts
the same effect of monovalent electrolytes of different compositions
on thecolloidal stability. However, ions of the same valence may
lead to different CCCs, as shown previously.[21−23,28,29] The order of theCCCs
in the presence of monovalent ions of different compositions can be
predicted by the Hofmeister series, which classifies ions according
to their hydration level and affinity to surfaces; thus, the order
of CCCs differs for hydrophobic and hydrophilic particles.[29] This series was originally developed to demonstrate
the stabilization power of simple electrolytes in protein solutions;[30] nevertheless, it was also applied for colloidal
particle dispersions. However, CCCs of novel nanomaterials may differ
from this sequence;[22,31] therefore, their colloidal stability
must be systematically assessed in monovalent electrolyte solutions.Thecase of multivalent ions and the effect of ionic valence on
particle aggregation are considered by another approach, namely, the
Schulze–Hardy rule.[32] It predicts
that theCCC strongly depends on the valence of the dissolved counterions,
i.e., ions of the opposite sign of charge as the particles.[33] Moreover, it has been recently confirmed that
multivalent coions, i.e., ions of the same sign as the particles,
also have an impact on theCCC, although their destabilization power
is weaker. This rule has been introduced in the literature as the
inverse Schulze–Hardy rule.[34−36] Both direct and inverse
Schulze–Hardy rules predict a decrease of theCCC with the
valence; its influence strongly depends also on the surface charge
density of the particles.Although, in some publications dealing
with different biomedical
applications of BNNSs, colloidal stability has been estimated through
ζ-potential and particle size distribution measurements[16,18−20] and the effect of some electrolytes on the dispersion
features has been reported once for 2D h-BN,[37] there is a lack of comprehensive studies on thecharging and aggregation
of colloidal BNNS particles in salt solutions of different compositions
and valences. To fill this gap, in the present study, we focused on
the specific ion effects on the stability of BNNScolloids. We aimed
at providing an overview of thecharging and aggregation features
of theBNNSs synthesized in our laboratory in the presence of electrolytes,
which are used in various applications.
Experimental
Methods
Materials
Trimethyl borate (B(OMe)3) was
purchased from ACROS Organics. NH3 (Linde), N2 (Merck), and Ar (Merck) gases were used. Thesaltconcentration
during the measurements was adjusted by analytical-grade salts such
as NaCl, KCl, CsCl, MgCl2·6H2O, K2SO4, K3[Fe(CN)6] (VWR), and LaCl3 (Alfa Aesar), and they were used without further purification.
The pH of the suspensions was adjusted by HCl (VWR) and NaOH (VWR).
All measurements were carried out at 25 °C and a pH value of
7.0 ± 0.5, unless otherwise noted. High-purity water obtained
from the VWR Purity TU + machine was used for all sample preparations.
Water and all of the prepared salt solutions were filtered with a
0.1 μm syringe filter (Millex) prior to use to avoid dust contamination.
Theconcentration of theBNNS particles was always kept at 5 mg/L
in the light scattering measurements.
Synthesis of BNNS
TheBNNSs were synthesized by a continuously
operated chemical vapor deposition (CVD) process as previously reported
elsewhere,[38] which was slightly modified
to improve the material’s properties. B(OMe)3 was
used as theB source, while NH3 gas served as the N source.
The reaction was carried out in two stages using a quartz tube in
a heating furnace, where the reactants were introduced in the gas
phase. The precursor is a colorless volatile liquid of lower density
than water and, thus, its vapor was transported by a carrier gas flow
toward the reaction zone. In the first stage, the precursor reacted
with theNH3 entering the furnace heated to 980 °C
at a flow rate of 40.0 mL/min along with N2 at a flow rate
of 60.0 mL/min, which served as thecarrier gas, and Ar at a flow
rate of 75.0 mL/min. The obtained white product from theCVD stream
was collected at 5 °C. The growth mechanism and the structural
transformation from an intermediate monomer to a BN layer and spherical
BNNSsare predicted to happen through intermolecular eliminations
and, hence, the morphology of the spherical particles depends on the
elimination yield of MeO2 groups.[38] The synthesis includes a second-stage annealing process of the primer
product at 1100 °C, conducted in an inert atmosphere of Ar instead
of using NH3.[16] This stage serves
to improve thecrystallinity of the obtained product and to reduce
oxygencontent.[39] The reaction conditions
needed to reach the desired morphology and size of the nanoparticles
were optimized in terms of gas flow and temperature. Applying such
conditions, quasi-uniform BNNSs with controlled crystallinity and
good purity were successfully fabricated.
Characterization of BNNS
Powder X-ray diffraction (XRD)
measurements were conducted with a Rigaku Miniflex II desktop diffractometer
using Cu Kα radiation (α = 0.15418 nm) at 40 kV accelerating
voltage and 30 mA with a scan speed of 2 min–1.
Infrared spectra were recorded by a Bruker Vertex 70 FT-IR spectrometer;
the spectra were measured from 400 to 4000 cm–1,
with a resolution of 4 cm–1. The morphological characteristics
of theBNNSs were investigated by transmission electron microscopy
(TEM) using an FEI Tecnai G2 20 X Twin microscope at 200
kV accelerating voltage. The results of these measurements are presented
in Figure .
Figure 1
Characterization
of the synthesized BNNSs. XRD diffraction pattern
(a), Fourier transform infrared (FTIR) spectrum (b), TEM (c), and
high-resolution TEM (HR-TEM) (d) images. In (d), the inset shows the
crystal planes at 1 800 000 magnification.
Characterization
of the synthesized BNNSs. XRD diffraction pattern
(a), Fourier transform infrared (FTIR) spectrum (b), TEM (c), and
high-resolution TEM (HR-TEM) (d) images. In (d), the inset shows thecrystal planes at 1 800 000 magnification.
Electrophoresis
Electrophoretic measurements were performed
with a Zetasizer Nano Instrument (Malvern), equipped with a 4 mW He–Ne
laser (633 nm wavelength). The obtained electrophoretic mobility (u) values were converted into zeta potentials (ζ)
with the Smoluchowski equation[40]where ε is the dielectricconstant of
the medium, η is the dynamic viscosity of water, and ε0 is the dielectric permittivity of the vacuum. The product
of the inverse Debye length and the radius of the particles was 17
at 1 mM ionic strength (the lowest ionic strength used), which justifies
the use of the Smoluchowski equation. For the determination of electrophoretic
mobility of the particles, appropriate volumes of salt solutions and
water were mixed to obtain the desired ionic strength. Then, theBNNS
particles were added from the stock suspension, leading to a particle
concentration of 5 mg/L and a final volume of 2 mL. The samples were
allowed to rest for 2 h at room temperature before each measurement,
and the equilibration time in the device was 1 min. The experiments
were performed in omega-shaped plasticcuvettes (Malvern). The reported
values were the average of five individual measurements, and the average
error of the determined ζ-potentials is about 2–5% depending
on the magnitude of the particle charge.
Dynamic Light Scattering
(DLS)
Time-resolved dynamic
light scattering (DLS) measurements were performed to assess thecolloidal
stability of the samples by observing the early stages of aggregation.[41,42] The experiments were carried out using a Zetasizer Nano Instrument
(Malvern) in backscattering mode at 173° scattering angle. The
apparent hydrodynamic radius (Rh) was
calculated by the Stokes–Einstein equation from the translational
diffusion coefficient, which was extracted from thecorrelation function
by the second-order cumulant fit. Thecorrelation function was recorded
for 20 s, and the time evolution of the hydrodynamic radius was followed
over 100 consecutive measurements. Typical results of these measurements,
where the variation of the hydrodynamic diameter was observed with
time at different KClconcentrations, are shown in Figure a. The initial rate of increase
in size was used to calculate the apparent aggregation rate coefficients
(kapp) as[43]where Rh(0) is
the hydrodynamic radius of the primary particles measured in stable
suspension and t is the time of the experiment. Note
that the initial hydrodynamic radius was higher than the geometrical
radius due to the presence of some aggregates in the dispersions and
also that the increase was studied in the time span in which the radius
changed linearly with time. The slope depended on thesaltconcentration;
at higher ones, the slope is larger, indicating that the dispersions
are destabilized, and thus rapid aggregation occurs. For each measurement,
2 mL dispersions were prepared similar to that described above for
electrophoresis, with the exception that the DLS measurements were
commenced by adding the desired volume of particle stock dispersions
to the solutions containing all other components. Furthermore, the
samples were equilibrated for 60 s in the instrument prior to the
measurements. This protocol led to a mean error of 5%.
Figure 2
(a) Time-resolved DLS
measurements at different KCl concentrations
at 5 mg/L BNNS concentration. The solid lines show linear fits used
to calculate the apparent aggregation rate constants, which were obtained
with eq . (b) ζ-Potentials
(squares, left axis) and hydrodynamic radii (circles, right axis)
of BNNS as a function of the pH. The inset shows the intensity-weighted
size distribution of BNNS at pH 7. The measurements were performed
at 1 mM ionic strength, and the standard deviations of the hydrodynamic
radius and ζ-potential data were 5 nm and 3 mV, respectively.
(a) Time-resolved DLS
measurements at different KClconcentrations
at 5 mg/L BNNSconcentration. The solid lines show linearfits used
to calculate the apparent aggregation rate constants, which were obtained
with eq . (b) ζ-Potentials
(squares, left axis) and hydrodynamic radii (circles, right axis)
of BNNS as a function of the pH. The inset shows the intensity-weighted
size distribution of BNNS at pH 7. The measurements were performed
at 1 mM ionic strength, and the standard deviations of the hydrodynamic
radius and ζ-potential data were 5 nm and 3 mV, respectively.
Results and Discussion
First, the
synthesized BNNSs were characterized by different techniques
to verify the successful formation of the product and to define its
morphological characteristics. Then, charging and aggregation properties
of the nanospheres were investigated in the presence of different
electrolytes by electrophoresis and DLS. Note that the experimental
conditions (e.g., pH and salt and BNNSconcentrations) in a given
suspension were the same in both types of measurements. The results
were interpreted within the framework of the DLVO theory, the Hofmeister
series, and the Schulze–Hardy rule.
Characterization of the
BNNSs
The XRD diffraction pattern
presented in Figure a revealed well-separated broad peaks at 2θ 25.92 and 42.34°,
corresponding to the (002) and (100) crystal planes, respectively.
All of the peaks can be attributed to thehexagonal BN, in agreement
with that previously reported for h-BN.[38] Thecharacteristic peaks corresponding to the (004) crystal plane[44] can also be seen at 53.37° and the (110)
plane[45] at 76.29°. No other obvious
diffraction peaks can be observed, which indicates the high purity
of the prepared material. To further verify the successful synthesis,
FTIR spectroscopy was employed. The spectrum (Figure b) contained the typical absorption bands
at 806 and 1401 cm–1 representing the out-of-plane
B–N–Bbending and in-plane B–N stretching vibration
modes, respectively.[38] Besides, absorption
bands can be observed at 3209 and 3415 cm–1, which
can be assigned to the asymmetric stretching of N–H groups
and O–H stretching of hydroxyl groups.[16] The synthesis of the particles was confirmed also with TEM images
by exploring the morphology and the dimensions of the nanoparticles.
The images show clearly visible spherical particles with an average
diameter of 110 nm and quasi-uniform size distribution (Figure c). On the HR-TEM image (Figure d), thecrystal planes
were well observed after magnification, and these results further
indicate that the obtained BNNSs possess good crystallinity. The determined
lattice plane spacing from the TEM image was 3.476 Å, whereas
3.429 Å was calculated for the (002) crystal plane using Bragg’s
law.The pH-dependent charge and size variations were investigated
in the pH range of 3–11 by electrophoresis and DLS, respectively
(Figure b). TheBNNSs
exhibit a negative charge, owing to the abundance of the deprotonated
hydroxyl groups under these conditions.[46] The ζ-potential values indicate that the particles have a
relatively high magnitude of surface charge over a wide range of pH.
With increasing pH, the particles acquire a greater negative charge.
Further experiments were conducted at pH 7. Under this condition,
the particles possess a considerable negative charge (−41 mV
ζ-potential), predicting high colloidal stability. In Figure b, the measured hydrodynamic
radii at different pH values are also presented. However, a clear
tendency could not be observed, as the particles maintained their
size while varying the pH value of the dispersions. At pH 7, the hydrodynamic
radius was obtained as 165 ± 5 nm, and the polydispersity index
was 0.27 ± 0.02. The intensity-weighted distribution of the hydrodynamic
radius is shown in the inset of Figure b. Note that the hydrodynamic (DLS) and geometrical
(TEM) sizes are considerably different. This is due to the presence
of some aggregates in the dispersions, which contribute to the scattered
intensity to a large extent, giving rise to higher hydrodynamic radii.
Colloidal Stability in the Presence of Monovalent Salts
Aggregation rates and ζ-potentials of BNNS particles were measured
in different ionic environments. Thecolloidal stability of the suspensions
was assessed in time-resolved DLS measurements. The rate of aggregation
in the samples was expressed in terms of the stability ratio (W) as[43,47]where the fast subscript indicates the fast
aggregation of the particles, where the aggregation is diffusion controlled.
The kapp(fast) value was determined separately
in all of the investigated systems in the fast aggregation regime
and used to calculate the stability ratios. Considering eq , it can be easily realized that
higher stability ratios are measured for slow particle aggregation,
while the values close to unity indicate rapidly aggregating particles.First, we investigated the effect of monovalent counterions (Na+, K+, Cs+) and coions (Cl–, NO3–, CH3COO–) of the negatively charged BNNSs. The determined stability ratios
at different electrolyte concentrations are presented in Figure a,b. The general
trend of the stability ratios was the same in both cases. Accordingly,
slow aggregation can be observed at low saltconcentrations, as in
this region, the values of the stability ratios are high. With increasing
saltconcentration, the stability ratio decreases until it reaches
unity and remains at this value thereafter. This behavior is in line
with the DLVO theory.[26,48] Accordingly, at low ionic strength,
the overlap of the electrical double layers surrounding the particles
gives rise to repulsive forces; therefore, the dispersions are stabilized.
However, on increasing thesaltconcentration, the electrostatic repulsion
weakens upon salt screening and, thus, rapid aggregation of the particles
occurs due to predominating attractive van der Waals forces. The transition
between these two regimes is the so-called critical coagulation concentration
(CCC), and the aggregation tendencies in the different systems can
be well quantified by this parameter, which was determined from the
stability curves as follows[47]where c is the molarconcentration
of thesalts and β can be obtained from the slope of the stability
ratios in the slow aggregation regime of the stability ratio versus
saltconcentration plot as
Figure 3
Stability ratios of BNNS particles in the presence of
monovalent
counterions (a) and coions (b) and the corresponding ζ-potentials
(c) and (d), respectively. The solid lines in (a) and (b) were calculated
using eq , whereas eq was used in (c) and (d).
The uncertainty of the stability ratio data is about 5%.
Stability ratios of BNNS particles in the presence of
monovalent
counterions (a) and coions (b) and thecorresponding ζ-potentials
(c) and (d), respectively. The solid lines in (a) and (b) were calculated
using eq , whereas eq was used in (c) and (d).
The uncertainty of the stability ratio data is about 5%.In the presence of monovalent saltconstituents, the measured
stability
curves were identical within the experimental error and, thus, the
onset of the rapid particle aggregation was located at the same CCC
for all systems, namely, around 0.25 M, irrespective of the type of
monovalent salts.Thecharging features of theBNNS particles
were also investigated
in the presence of monovalent counterions (Figure c) and coions (Figure d) by measuring the ζ-potentials under
the same experimental conditions as those for the time-resolved DLS
measurements. In general, the shape of the plots was identical in
all cases; the ζ-potential values became less negative as theconcentration of thesalts increased due to double-layer compression
resulting from charge screening. Note that the values remained negative
in the whole range investigated. The ζ-potential is positioned
at the slip plane, determining the distance from the surface, where
a hydrodynamically stagnant layer is present and moves together with
the particle upon application of an external electric field.[40] Therefore, one of the most important parameters,
which can be estimated from the ζ-potentials, is thecharge
density at the slip plane (σ) of the particles, and it was calculated
by the Debye–Hückel model as[49]where κ is the inverse
Debye length,
which includes thecontribution of the ionic species to the electrical
double layer.[40] The obtained charge density
values were the same within the measurement error (around −14
mC/m2), regardless of the type of the ions, indicating
the absence of ion-specific adsorption. Considering the strong dependence
of theCCC and charge density of inorganic nanoparticles on thecomposition
of thesalts,[22,23,31] the above aggregation and charging results are rather surprising.
General Trends in the Presence of Multivalent Salts
Charging
and aggregation properties of theBNNS particles were studied
in solutions of multivalent counterions (Mg2+ and La3+) and coions (SO42– and [Fe(CN)6]3–) as well. The stability curves shown
in Figure a for the
multivalent counterions illustrate thecharacteristic slow and fast
aggregation regimes, similar to the monovalent systems discussed earlier.
However, for di- and trivalent ions, theCCCs are substantially lower
compared to the ones determined in the presence of monovalent counterions.
TheCCC values decrease with increasing valence, in good qualitative
agreement with the Schulze–Hardy rule.[32,50] The quantitative interpretation of theCCCs in terms of this theory
will be discussed later. Then, we investigated the effects of multivalent
anions on thecolloidal stability of negatively charged BNNS particles
(Figure b). One can
observe that theCCC shifts toward lower saltconcentrations with
increasing valence of thecoion, but the shift is much smaller than
that in thecase of multivalent counterions. TheCCC values for multivalent
ions are presented in Table .
Figure 4
Stability ratios of BNNS particles in the presence of multivalent
counterions (a) and coions (b) and the corresponding ζ-potentials
(c) and (d), respectively. The solid lines in (a) and (b) were calculated
using eq , whereas eq was used in the case of
(c) and (d).
Table 1
Characteristic Aggregation
and Charging
Data of the BNNS Particles Obtained in the Presence of Mono- and Multivalent
Salt Constituents
salt
KCl
MgCl2
LaCl3
K2SO4
K3[Fe(CN)6]
CCC (mM)a
250
30
0.7
110
75
σ (mC/m2)b
–14
–4
–0.6
–11
–9
ζ (mV)c
–8.6
–10.0
–9.9
–13.7
–13.4
Critical coagulation concentration
was calculated by eq . The error of CCC determination is about 10%.
Charge density was calculated using eq .
ζ-Potentials at the CCC.
Stability ratios of BNNS particles in the presence of multivalent
counterions (a) and coions (b) and thecorresponding ζ-potentials
(c) and (d), respectively. The solid lines in (a) and (b) were calculated
using eq , whereas eq was used in thecase of
(c) and (d).Critical coagulation concentration
was calculated by eq . The error of CCC determination is about 10%.Charge density was calculated using eq .ζ-Potentials at theCCC.In Figure c,d,
thecharging features of the particles are represented, while varying
thecounterion and coion valences, respectively. The magnitudes of
the ζ-potentials at a given saltconcentration followed the
monovalent > divalent > trivalent order in thecase of counterions
and coions as well. The surface charge densities were extracted from
thesaltconcentration-dependent potential data by eq . The values (Table ) decreased in the order of K+ > Mg2+ > La3+ for thecations and Cl– > SO42– > [Fe(CN)6]3– in thecase of anions. Note that the
extent of this
decrease is significantly smaller for thecoions. Comparing thecharge
density values for monovalent and multivalent counterions, the multivalent
ions were much more effective in reducing the ζ-potential of
the particles due to their ability to adsorb more effectively to the
particle surface, which was also reported for other particles dispersed
in solutions of multivalent ions.[22,33,34,41]Let us now interpret
the above detailed experimental results concerning
the influence of saltcomposition and valence of the ions on thecolloidal
stability of BNNS particles in terms of the Hofmeister series and
the Schulze–Hardy rule. TheCCC is the most appropriate parameter
to quantify the deviation of the aggregation features for different
systems; therefore, its tendencies will be discussed by varying the
type of electrolytes.
Dependence of the CCC on the Composition
of Monovalent Electrolytes
As mentioned above, theCCC values
were the same (0.25 M) within
the experimental error for all monovalent salts, irrespective of thecomposition, i.e., for both counterions and coions. This behavior
is atypical for colloidal particles; however, some exceptions have
already been reported. Accordingly, aggregation of highly charged
latexes was not sensitive to the type of ions.[33] Furthermore, polymer-functionalized colloid particles were
also insensitive to thechemical composition of surrounding monovalent
electrolytes,[51] in agreement with the DLVO
theory, which considers only the ionic strength, i.e., the valence
and concentration of the ions present in the system. TheBNNSs showed
the same behavior, and this feature may be explained as follows. First,
the particles are of high negative charge under theconditions applied
and, hence, the small extent of ion adsorption did not give rise to
a significant change in thecharge densities and in the strength of
the double-layer forces. Second, the lamellar structure of BNNSs may
allow diffusion of ions into the interlamellar space and, thus, the
interfacial counterion concentration can be lower than expected. Due
to the lower concentration, the electrical double layers remain strong
independent of the type of ions, leading to stable dispersions up
to elevated ionic strength. However, we do not have direct experimental
evidence for the ion diffusion into the interlamellar space. Again,
such an absence of the ion-specific effect on thecolloidal stability
of theBNNSs is rather unusual. However, it can be beneficial in applications
in which the particles are dispersed in monovalent electrolyte mixtures
and the goal is to obtain stable colloids.
Dependence of the CCC on
the Valence
As discussed before,
multivalent ions are more powerful in destabilization of BNNS suspensions.
It was shown earlier that the trend in CCC depends on the sign and
valence of the ions present; therefore, the influence of counterions
and coions should be treated differently.[35]In thecase of counterions, theCCC decreases in the order
K+ > Mg2+ > La3+ (Table ). The types of saltsare not
directly considered in the DLVO model; however, this theory takes
into account the valence of ions. The effect of the ionic valence
is described by the Schulze–Hardy rule,[50,52] which states that theCCC of colloidal particles strongly depends
on the ionic valence (z) of the dissolved ions, and
the dependence can be quantified aswhere ncan vary between
1.6 and 6.5 depending on the surface charge density of the particles.
For asymmetric electrolytes containing multivalent counterions, the
dependence can be described for particles with a low surface charge
by n = 1.6 in eq ,[34] while for highly charged
particles, a stronger dependence (n = 6.5) is predicted.[35] However, this strong decrease of theCCC with
the valence can be derived from the DLVO theory only for surfaces
of unrealistically high magnitude of charge.Figure a shows
the relative CCCs normalized to the value in the presence of KCl salt
for all salts investigated in the present study together with the
expected CCCs from the Schulze–Hardy rule (eq ), with both n values
indicated as the upper and lower limits of CCCs. All our obtained
data appearbelow the upper limit of the z–1.6 dependence, while the lower limit (z–6.5) overestimates the effect for multivalent ions, indicating that
BNNS particles possess intermediate surface charge density.
Figure 5
(a) Relative
CCC values (normalized to the CCC obtained in the
presence of KCl) as a function of different counterion (squares) and
coion (circles) valences. The solid lines indicate the direct (for n = 1.6 and 6.5 in eq ) and the inverse (n = 1 in eq ) Schulze–Hardy rules. (b)
Dependence of the CCC on the charge density at the slip plane, which
was normalized with the stoichiometry and the valence of the electrolytes.
The solid line was calculated with eq .
(a) Relative
CCC values (normalized to theCCC obtained in the
presence of KCl) as a function of different counterion (squares) and
coion (circles) valences. The solid lines indicate the direct (for n = 1.6 and 6.5 in eq ) and the inverse (n = 1 in eq ) Schulze–Hardy rules. (b)
Dependence of theCCC on thecharge density at the slip plane, which
was normalized with the stoichiometry and the valence of the electrolytes.
The solid line was calculated with eq .The obtained charge density
values (Table ) demonstrate
that the magnitude of this
parameter strongly decreases with increasing valence, since the multivalent
counterions adsorb stronger than monovalent ones to oppositely charged
substrates and, thus, they progressively reduce thecharge density.
This reduction leads to weaker double-layer forces and becomes more
pronounced with increasing valence, and thereby leads to a lower CCC.Nevertheless, the ions of the same sign of charge as the particles
show a trend in theCCC values as Cl– > SO42– > [Fe(CN)6]3– (Table ). Multivalent
coions
hardly adsorb on like-charged particles, and hence the particle is
expected to remain highly charged.[53] When
multivalent ions are thecoions, the approach of the inverse Schulze–Hardy
rule was proposed, which states that the dependence of theCCC on
coion valence is not as significant (n = 1 in eq )[34,50] as in thecase of oppositely charged multivalent ions. This dependence
is also presented in Figure a and it is in good quantitative agreement with theCCC values
obtained from the aggregation experiments with different coions.
Predominating Interparticle Forces
Based on the data
presented in Table , one may notice that the values of charge density and the ζ-potential
(at theCCC) follow the same order in thecase of multivalent ions
as theCCCs. In thecase of monovalent ions, the same charge was determined
for all systems within the experimental error, since the measured
ζ-potential values were about the same. This confirms that the
type of monovalent electrolytes does not influence thecharge of BNNSs
and, thus, ion-specific effects are absent. For multivalent ions,
the obtained surface charge is the lowest for theLa3+ ion,
and hence, the repulsive electrical double-layer forces are the weakest
in this case. Therefore, destabilization occurs at the lowest CCC.
A similar effect could be observed for coions as well, where the [Fe(CN)6]3– causes the lowest CCC; however, the
destabilizing power here originates from thecontribution to the ionic
strength, i.e., trivalent ions increase the ionic strength more significantly
than mono- and divalent ones.To further explore the origin
of the interparticle forces responsible for the stability of theBNNS
suspensions, a relation derived from the DLVO theory was used to calculate
theCCC values from the obtained surface charge densities as[24,54]where NA is Avogadro’s
number, LB is theBjerrum length, which
is 0.72 nm at room temperature in water,[21] ν+ and ν– are the stoichiometriccoefficients of thecation and anion, respectively, z+ and z- represent
thecation and anion valences, respectively, and H is the Hamaker constant. To achieve thebest agreement between thecalculated and measured values, a Hamaker constant of 4.0 × 10–21 J was applied in eq .TheCCCs at different charge densities together
with the fit obtained
from eq are presented
in Figure b. The relatively
good agreement between the experimental and thecalculated data confirms
that the predominating interparticle forces are of DLVO origin since
only DLVO-type forces were included in thecalculations to derive eq . However, the ion-specific
interactions also play an important role through the extent of the
ion adsorption for the multivalent counterions, which leads to different
surface charge densities, and thus significant deviation in the strength
of the repulsive double-layer forces. Accordingly, multivalent counterions
destabilize particle suspensions more effectively than the monovalent
ones due to their higher affinity to oppositely charged surfaces.
Therefore, the adsorption processes and related charging properties
depend strongly on the valence of counterions and coions as well;
nevertheless, the predominating interparticle forces are of DLVO origin.
This fact is further confirmed by the agreement between theCCC tendencies
with the direct and inverse Schulze–Hardy rules.
Conclusions
The effect of saltscomposed of monovalent counterions (Na+, K+, Cs+) or coions (Cl–, NO3–, CH3COO–) and
multivalent counterions (Mg2+, La3+) or coions
(SO42–, [Fe(CN)6]3–) on the aggregation and charging features of BNNS particles was
investigated for the first time by electrophoresis and dynamic light
scattering techniques. Similar trends and CCC values were determined
for monovalent ions of both charges; therefore, no ion-specific effect
was observed. The ζ-potentials also showed the same tendencies
with increasing saltconcentration and, thus, the same surface charge
density was determined in the presence of monovalent saltconstituents
irrespective of the electrolyte composition. This behavior is in striking
contrast to most of the results reported earlier for nanoparticles
or colloidal particles of various compositions.Concerning the
effect of the ionic valence, significant differences
in the obtained CCC values were observed. This phenomenon was explained
by the Schulze–Hardy rule for counterions since the order of
CCCs decreased asThe coions did not show as significant
an
effect on theCCCby varying their valence as shown by thecounterions;
however, a weak dependence is still present in line with the inverse
Schulze–Hardy rule. The order of ions with decreasing CCC values
was determined as followsComparison
of theCCCs obtained from the experiments
to the ones calculated by the DLVO theory revealed that the interparticle
forces originate from the interplay between the repulsive electrical
double-layer and attractive van der Waals forces, as predicted by
the DLVO theory. The variation of theCCC in the systems is the result
of the different absorption affinity and the different contribution
to the ionic strength when mono-, di-, and trivalent ions are present.
No similar identification of interparticle forces has been reported
for BNNSs so far.Through thecomprehensive set of CCC values,
these results provide
new knowledge that will be useful in further investigations of BNNS
dispersions containing electrolytes or their mixtures. Finally, the
surprising differences in the effect of mono- and multivalent ions
on the dispersion characteristics of BNNSs shed light on the need
for detailed colloidal stability studies once the nanoparticles are
applied, for instance, in biomedical treatments, in which different
electrolyte components of thebiofluids may play an important role
in the destabilization of BNNS.