We examine the solution structures in a mixed surfactant system of sodium dodecyl sulfate (SDS) and N,N-dimethyldodecylamine N-oxide (DDAO) in water, on both sides of the two-phase boundary, employing dynamic light scattering, small-angle neutron scattering, and Fourier transform infrared spectroscopy. The precipitate phase boundary was accessed by lowering pH to 8, from its floating pH 9.5 value, and was experimentally approached from the monomeric and micellar regions in three ways: at fixed DDAO or SDS concentrations and at a fixed (70:30) SDS:DDAO molar ratio. We characterize the size, shape, and interactions of micelles, which elongate approaching the boundary, leading to the formation of disk-like aggregates within the biphasic region, coexisting with micelles and monomers. Our data, from both monomeric and micellar solutions, indicate that the two phase structures formed are largely pathway-independent, with dimensions influenced by both pH and mixed surfactant composition. Precipitation occurs at intermediate stoichiometries with a similar SDS:DDAO ratio, whereas asymmetric stoichiometries form a re-entrant transition, returning to the mixed micelle phase. Overall, our findings demonstrate the effect of stoichiometry and solution pH on the synergistic interaction of mixed surfactants and their impact on phase equilibrium and associated micellar and two-phase structures.
We examine the solution structures in a mixed surfactant system of sodium dodecyl sulfate (SDS) and N,N-dimethyldodecylamine N-oxide (DDAO) in water, on both sides of the two-phase boundary, employing dynamic light scattering, small-angle neutron scattering, and Fourier transform infrared spectroscopy. The precipitate phase boundary was accessed by lowering pH to 8, from its floating pH 9.5 value, and was experimentally approached from the monomeric and micellar regions in three ways: at fixed DDAO or SDS concentrations and at a fixed (70:30) SDS:DDAO molar ratio. We characterize the size, shape, and interactions of micelles, which elongate approaching the boundary, leading to the formation of disk-like aggregates within the biphasic region, coexisting with micelles and monomers. Our data, from both monomeric and micellar solutions, indicate that the two phase structures formed are largely pathway-independent, with dimensions influenced by both pH and mixed surfactant composition. Precipitation occurs at intermediate stoichiometries with a similar SDS:DDAO ratio, whereas asymmetric stoichiometries form a re-entrant transition, returning to the mixed micelle phase. Overall, our findings demonstrate the effect of stoichiometry and solution pH on the synergistic interaction of mixed surfactants and their impact on phase equilibrium and associated micellar and two-phase structures.
Surfactants are key
constituents of formulations underpinning a
wide-range of industries including personal care,[1] oil and lubricants,[2] food,[3] and agriculture.[4] Mixtures
of surfactants are generally employed to tune solution structure,
stability, and interfacial performance.[5,6]Mixtures
of surfactants whose head groups are oppositely charged
and electrostatically interact, i.e., anionic and cationic or amphoteric
surfactants, can lead to synergistic interactions,[7,8] able
to improve surface activity and thus foaming, wetting, and detergency.[9] Synergistic interactions are often inferred from
a reduction in the critical micelle concentration (CMC), a shift in
micelle shape and size (often increasing in size), large viscosity
increases, and shifts in the temperature-concentration equilibrium
phase boundaries between micelles and other mesoscopic phases.[10] However, their utility is constrained by a propensity
to precipitate, in the presence of oppositely charged ions or surfactants,
at specific solution conditions.The current theoretical description
of precipitation in mixed surfactant
systems[11] considers surfactants in three
different arrangements: as monomers below the CMC, incorporated in
mixed micelles above CMC, and as a precipitate, when the monomeric
concentration of both the anionic and cationic monomers exceed their
solubility product (K). Surfactant stoichiometry,
monomer–micelle equilibria, temperature, and pH are known to
impact the precipitation behavior of mixed surfactant solutions. Since
precipitation is driven by electrostatic interactions between charged
surfactant head groups, it is critical to understand the effect on
precipitation of changes to the solution pH. For systems with added
inert salt and fully dissociated surfactants, pH appears to play a
minor role in determining the precipitation boundary;[12] however, pH is expected to have a substantial effect on
precipitation when the charge of either surfactant depends on it (e.g.,
for amine oxides and betaines).Amine oxide surfactants exhibit
properties of cationics at low
pH values (pH 13] i.e., at a given pH, an equilibrium is established between non-ionic
and cationic forms of the surfactant.[14] Thus, the mixture of an amine oxide surfactant with an anionic surfactant
effectively becomes a ternary system containing anionic surfactant,
cationic surfactant (protonated), and nonionic surfactant (unprotonated),
resulting in synergism in both micelle formation and decreased CMCs.
Solution properties of the amine oxide surfactants have been shown
to vary with pH and added electrolyte concentration.[15−17] Since the fraction of charged species of a pH-sensitive surfactant
depends on the hydrogen ion concentration, solution pH plays an important
role in defining their precipitation behavior. The precipitation of
anionic surfactants has previously been investigated using a variety
of mono and/or divalent cations[18,19] and oppositely charged
surfactants.[12,18,20] Additionally, models for predicting precipitation region have also
been developed,[11,12,21,22] combining regular solution theory (monomer–micelle
equilibrium) with a solubility product relationship (monomer–precipitate
equilibrium) and have been shown to fit well to experimental data.
Experimental systems, which form additional self-assembled structures, e.g., coacervates or vesicles, cannot be modeled as effectively
and require an additional empirical correction to describe the measured
phase boundaries.[12] Due to intricate mixed
surfactant interactions, the presence of complex structures in the
precipitate region constrains the scope of theoretical modeling. Thus,
it becomes critical to experimentally determine and characterize the
solution structures, in both the single- and two-phase regions, across
the phase boundary, over a practically relevant pH range.In
this paper, we select mixtures of sodium dodecyl sulfate (SDS)
and dodecyldimethylamine oxide (DDAO) in aqueous solution as a model
anionic/amphoteric surfactant mixture, whose chemical structures are
shown in Figure a.
The role of pH is particularly relevant for such systems, as the protonation
state of the amphotheric surfactant is non-trivially influenced by
the presence of the anionic surfactant. As such, solution pH varies
with concentration and stoichiometry,[23] in turn affecting the solution structures and the delicate stability
of the mixture. In most practical applications, this pH “self-regulation”
is impacted by chemical environments with distinct pH that perturb
the solution structures and equilibrium, potentially causing precipitation
and thus performance loss. For SDS/DDAO mixtures, the pH sensitivity
of DDAO largely determines its synergistic interaction with SDS and
the mixed-system phase behavior. Further, pH values outside 6–8
cause chemical instability in mixtures of alkyl sulfates, due to expedited
breakage of the sulfate ester bond.[24,25]
Figure 1
(a) Structure
of sodium dodecyl sulfate (SDS) and N,N-dimethyl dodecylamine N-oxide
(DDAO). (b) Clear to turbid transition of equimolar SDS–DDAO
solutions (100 mM) upon decreasing pH (top row). Upon centrifugation,
a precipitate appears at pH 7.4–7.1 (bottom row, reproduced
with permission from ref (25). Wiley Online Library, 2017). (c) Composition space investigated
for SDS–DDAO mixtures at fixed pH 8: series (I) fixed DDAO
(5 mM) and varying SDS concentration; (II) fixed SDS (1 mM) and varying
DDAO concentration, and (III) fixed SDS–DDAO molar ratio of
70:30. Red shaded area encloses the two-phase, optically turbid, region
(2ϕ). Literature data at pH 6 taken from ref (26) shown by the dashed line.
(a) Structure
of sodium dodecyl sulfate (SDS) and N,N-dimethyl dodecylamine N-oxide
(DDAO). (b) Clear to turbid transition of equimolar SDS–DDAO
solutions (100 mM) upon decreasing pH (top row). Upon centrifugation,
a precipitate appears at pH 7.4–7.1 (bottom row, reproduced
with permission from ref (25). Wiley Online Library, 2017). (c) Composition space investigated
for SDS–DDAO mixtures at fixed pH 8: series (I) fixed DDAO
(5 mM) and varying SDS concentration; (II) fixed SDS (1 mM) and varying
DDAO concentration, and (III) fixed SDS–DDAO molar ratio of
70:30. Red shaded area encloses the two-phase, optically turbid, region
(2ϕ). Literature data at pH 6 taken from ref (26) shown by the dashed line.We have previously demonstrated that protonation
of DDAO can be
altered by SDS, impacting mixed micelle formation and adsorption at
the air–water interface at “floating” pH conditions.[23] In the absence of added acids/buffers, mixing
of SDS and DDAO results in an increase in solution pH from neutral
to alkaline (>7). pH reduction by acid addition has a clear effect
on the optical appearance and alters the nano- and microscale structures
of surfactants in solution (illustrated in Figure b). Precipitation phase boundaries have previously
been experimentally determined and theoretically modeled for SDS–DDAO
mixtures in the pH range 4–6.[26] Here,
we seek to examine the solution structures formed by imposing a (fixed)
pH below the spontaneous pH state (8–9.5) of the system. We
select a representative value of pH 8, in order to induce solution
instability across a considerable concentration range, enabling us
to resolve the solution structures on both sides of the phase boundary.
We combine three complementary techniques: dynamic light scattering
(DLS) to estimate the hydrodynamic size of micelles and precipitated
structures, small-angle neutron scattering (SANS) for the precise
determination of their size, shape, and interactions, and Fourier
transform infrared (FTIR) spectroscopy for the understanding of their
molecular packing.
Materials and Methods
Materials
Sodium dodecyl sulfate (NaC12H2SO4, SDS, >99.0% purity), N,N-dimethyldodecylamine N-oxide (C14H31NO, DDAO), hydrochloric
acid (HCl), and deuterium oxide
(D2O) were purchased from Sigma-Aldrich and used as received.
For SANS, DDAO in powder was used, while for turbidity measurements,
a 30 wt % aqueous (H2O) solution was employed. Solutions
were prepared by diluting the surfactants in deionized water (for
DLS and FTIR) and D2O (SANS). Water used was obtained from
a PURELAB Chorus 1 ultrapure water system from ELGA LabWater, delivering
water purity of 18.2 MΩ cm. The surface tension of pure water
was measured to be 71.5–72.0 mN/m at 25 °C.
Methods
pH Measurements
The pH of the solutions was monitored
using a Hanna Edge pH and conductivity meter and adjusted with dilute
HCl to pH 8. In practice, in order to prepare a solution with prescribed
surfactant concentration and pH 8, initial surfactant stock solutions
of higher (∼20–50% higher) concentration were made and
their pH was adjusted to 8, by dropwise addition of 0.1 M and then
0.01 M HCl solutions; water was then added to obtained the desired
surfactant concentration, and the pH value confirmed. Details of solution
compositions and HCl addition are provided in the Supplementary Information, Table S1.
Dynamic Light Scattering
Correlograms and size distributions
were obtained from measurements on a time-resolved optical fiber dynamic
light scattering instrument (VASCO KIN, Cordouan Technology, Pessac,
France). Approximately 5 mL of each solution was measured directly
in glass vials with the instrument in situ head,
which operates with a detector angle of ∼170°. For each
sample, the instrument laser power was tuned for each sample to maximize
the measured coherence (β value) of the correlogram prior to
measuring for ∼30 s per sample. Intensity correlograms were
analyzed via a sparse Bayesian learning, which provided the lowest
residual values across the correlogram, with the instrument’s
NANO KIN software. Reported size distributions are intensity-weighted,
and values discussed are the mean values of the peaks.
Fourier Transform
Infrared Spectroscopy
Infrared spectra
were recorded using an INVENIO-S FTIR spectrometer with a DTGS detector
and Platinum ATR accessory. For each spectrum, 64 single beam scans
were averaged with 4 cm–1 resolution in the range
of 4000 to 600 cm–1. The clean, dry diamond crystal
was consistently used for background correction. Results were examined
in the absorbance unit using OPUS 8.5 software. Spectral subtraction
of water and standard baseline correction were performed on all the
spectra and analyzed with no further data processing.
Small Angle
Neutron Scattering (SANS)
SANS measurements
were performed on the D22 diffractometer (ILL, Grenoble, France) in
quartz cells (1 mm banjo, Hellma) with incident neutron wavelength
λ = 6 Å and Δλ/λ = 10%. The instrument
operates with two detector banks with sample-to-detector distances
of d1 = 17.6 and 5.6 m and d2 = 1.3 m, which cover a Q-range of 0.0032–0.70
Å–1. Samples were measured at T = 25 °C, maintained by a water both connected to the sample
rack. Data were reduced and corrected for solvent, cell, and background
scattering according to standard procedures in GRASP (Lockdown V9.31).
The reduced data, scaled in absolute units, were analyzed in SASView
(v5.0.4). Scattering profiles from mixed SDS–DDAO micellar
solutions were fitted with a core–shell ellipsoidal form factor
and a Hayter–Penfold RMSA structure factor. Turbid samples
could not be well described by this model. Instead, a cylindrical
form factor, with a radius larger than its length (i.e., forming a
disk) could describe all datasets. A structure factor RMSA was required
to model the weakly turbid samples (SD5, 9), while the form factor
alone sufficed to describe the remainder (SD12, 13). While the RMSA
is strictly valid for spherical particles, it can approximate interactions
of non-spherical objects at comparatively large interparticle distances;[27] since the maximum total surfactant concentration
investigated was 100 mM (<3%), we have assumed its validity. Within
SASView, we have selected the RMSA’s effective radius to be
estimated from the “average curvature” of spheroids
and “excluded volume” for cylinders. Both models were
implemented by fixing the scattering length densities (SLD) of the
pure components SDS (core and shell, respectively −0.489 and
1.5 × 10–6 Å–2) and
DDAO (core and shell, respectively −0.091 and 0.603 ×
10–6 Å–2) and their weighted
average for intermediate concentrations; we fitted volume fraction,
micellar charge, and micellar/disk dimensions as free parameters,
ensuring self-consistency with solution concentration, and dependence
between charge and concentration or aggregation number. Error bars
in dimensions and charge (particularly large within the turbid region)
are obtained from the range of fitting parameters compatible with
the scattering data.
Results and Discussion
The precipitation phase boundary for SDS–DDAO solutions
at fixed pH 8 was determined by investigating the phase behavior across
a wide range of mixed surfactant concentrations. The corresponding
solution structures were mapped, with DLS and SANS, on both sides
of the phase boundary. As illustrated in Figure c, we approached the phase boundary from
three directions; a fixed DDAO concentration (I), a fixed SDS concentration
(II), and a fixed molar ratio (III). The CMC and pH values of mixed
SDS–DDAO solutions, as a function of surfactant molar ratio,
are reported in Figure a,b, respectively. The CMC decreases for all ratios, relative to
the pure surfactant solutions, with a minimum value at a 1:1 stoichiometry
(data previously reported in ref (23)). The pH of the mixed solutions increases from
neutral values of the pure surfactants to alkaline values (>7),
indicating
protonation of the DDAO and a reduction of free H+ ions,
and reaches a maximum at 9.5 for equimolar surfactant ratios. Lowering
the pH by HCl addition causes precipitation and turbidity, starting
at near-equimolar surfactant ratios. CMC measurements at pH 8 cannot
therefore be carried out across all surfactant ratios. However, we
have found that, wherever measurable, CMC values at lower, fixed pH
did not vary considerably from those reported here.[23] As an example, the CMC of equimolar surfactant solutions
at pH 7.5 was found to be 0.43 mM, only slightly below the 0.47 mM
measured at floating pH (pH 9.5); this solution eventually precipitates
at 7.2–7.3 pH. We therefore examined the effects of pH on the
solution structure using FTIR (and subsequently DLS and SANS). FTIR
spectra characterizing the changes in molecular packing for the equimolar
mixture of SDS and DDAO upon decreasing pH from 9.5 to 7.6, by HCl
addition, are shown in Figure c. The C–H stretching frequency of surfactant tails
significantly decreases upon decreasing pH, which confirms the effect
of pH on solution structures by driving surfactant tails to transition
from a predominately gauche to a trans geometry (Figure d).
Figure 2
(a) CMC for SDS–DDAO
mixtures measured at floating by pendant
drop tensiometry.[23] The horizontal green
line corresponds to 0.136 mM, below CMC at all ratios. (b) Solution
pH of SDS–DDAO mixtures at 25 °C for three total surfactant
concentrations above and below CMC. (c) ATR-FTIR spectra of equimolar
SDS–DDAO solutions at 25 °C and decreasing pH values from
9.5 (floating) to 7.6, by HCl addition. (d) Frequency of antisymmetric
C–H stretching peak of hydrocarbon tails as a function of pH.
(a) CMC for SDS–DDAO
mixtures measured at floating by pendant
drop tensiometry.[23] The horizontal green
line corresponds to 0.136 mM, below CMC at all ratios. (b) Solution
pH of SDS–DDAO mixtures at 25 °C for three total surfactant
concentrations above and below CMC. (c) ATR-FTIR spectra of equimolar
SDS–DDAO solutions at 25 °C and decreasing pH values from
9.5 (floating) to 7.6, by HCl addition. (d) Frequency of antisymmetric
C–H stretching peak of hydrocarbon tails as a function of pH.To assess the phase behavior and location of the
phase boundary,
the pH of mixed SDS–DDAO solutions was adjusted to 8 from their
floating pH value, and phase change was initially determined visually.
DLS and FTIR were used to estimate the size and molecular arrangement
of surfactant structures in solution, and SANS was used to determine
their precise shape and size within the single and the two-phase region.
Approaching
Phase Boundary from Mixed Surfactant Series I
Solutions marked
as SD1–6 comprising a fixed DDAO concentration
(5 mM) and varying SDS concentration (0.0001–50 mM) were adjusted
to pH 8 with the addition of HCl, and their physical appearance was
monitored. Compositions and an optical image are shown in Figure a. All solutions
bar SD5 appeared entirely optically transparent. SD5 underwent a visible
color change to a faintly, light blue turbid solution, which is typically
associated with the formation of a small number of nanoscale objects
(>20 nm).
Figure 3
(a) SDS–DDAO series I, measured at pH 8 and 25
°C.
Inset image shows optical appearance of the solutions. (b) DLS data
for solutions SD5 and SD6; intensity-weighted distribution of hydrodynamic
radii R shown in inset. (c) ATR-FTIR
spectra of mixed solutions SD4–6, depicting shift observed
for the C–H stretching region of surfactant tails (inset).
(d) Radially averaged SANS data and model fit for solutions SD1–6.
(e) Fitted radii of the ellipsoidal micelle model (SD 1–4 and
6) and disk model (SD5). (f) Fitted total net charge of micelles and
disks. Red shaded areas denote the 2ϕ region.
(a) SDS–DDAO series I, measured at pH 8 and 25
°C.
Inset image shows optical appearance of the solutions. (b) DLS data
for solutions SD5 and SD6; intensity-weighted distribution of hydrodynamic
radii R shown in inset. (c) ATR-FTIR
spectra of mixed solutions SD4–6, depicting shift observed
for the C–H stretching region of surfactant tails (inset).
(d) Radially averaged SANS data and model fit for solutions SD1–6.
(e) Fitted radii of the ellipsoidal micelle model (SD 1–4 and
6) and disk model (SD5). (f) Fitted total net charge of micelles and
disks. Red shaded areas denote the 2ϕ region.DLS was used to investigate
the hydrodynamic size of the surfactant structures responsible for
the transition between faintly turbid SD5 and optically transparent
SD6 solutions (Figure b). The second-order autocorrelation function of scattered light
is shown for the two samples as a normalized intensity (in arbitrary
units). The turbid sample (SD5) has a single, broad decay at relatively
long decay times while the optically transparent solution appears
with a fast decay and a small tail corresponding to a very small population
of near micrometer-sized objects. The intensity-weighted size distributions
determined by data fitting with a sparse Bayesian learning (SBL) algorithm
are shown as an inset in Figure b. The main decay of SD5 is centered around a mean
hydrodynamic radius R of 58 nm, while
the prominent SD6 decay is centered around 9 nm with two smaller populations
(<2% by number) with larger decays, 29 nm and 1.3 μm, likely
resulting from the equilibrium aggregation of micelles and agglomerate
formation.
Fourier Transform Infrared Spectroscopy
Vibrational
responses from mixed surfactant solutions were measured by FTIR spectroscopy
to examine the molecular arrangement of solution structures for samples
SD4, SD5, and SD6. Figure c summarizes the results obtained from FTIR measurements,
which all exhibit strong absorption bands arising from methylene groups
in the tail (3000–2800 cm–1) of the surfactants.
Several vibrational modes are sensitive to distinct aspects of molecular
conformation and interaction of surfactant molecules, and thus changes
in peak frequency and shape can characterize structural transitions.
The methylene stretching frequencies 2920 and 2855 cm–1 correspond to antisymmetric and symmetric stretching of C–H
bonds, respectively, and can be used to qualitatively monitor both
conformational order and acyl chain packing.[28] The sensitivity to conformational order (trans–gauche isomerization in the chains) is well known and is
used to describe monomer-to-micelle transformations[29] or coagel to micelle changes.[30] Kakitani et al.[31] examined
the sphere-to-rod transition of SDS and DDAO mixed micelles, and a
frequency shift of the same order (2–4 cm–1) was observed as found here across the stability boundary.The position of the SD5 C–H peak was observed at lower wavenumber
as compared to SD4 and SD6. Figure c inset shows the variation of antisymmetric wavenumbers
as a function of total mixed surfactant concentration. The results
exhibit a shift from higher frequency (high energy), characteristic
of gauche conformation and associated with chain disorder, to lower
frequency (low energy), which is characteristic of an ordered trans
conformation. The decrease in frequency (of 3 cm–1) can be attributed to the compaction of tail methylene groups, which
for SD5 transition into a trans geometry. This tighter packing could
be attributed to an increase in aggregation number and corresponding
increase of size as compared to SD4 and SD6, which exhibit C–H
stretching frequencies similar to those of micellar structures.
Small-Angle Neutron Scattering
SANS measurements were
used to examine the structure of mixed surfactant solutions in both
one-phase and two-phase regions. The total scattering profiles of
mixed surfactant series I are shown in Figure d. For this series, all compositions are
expected to be above the CMC of the solution, given the DDAO concentration
is fixed at a value above the CMC of DDAO in solution.[23] The SANS profiles of solutions with SDS concentrations
≪ DDAO concentrations (SD1–4) appear characteristic
of non-ionic, dilute micelles. However, as the concentration of SDS
increases and becomes comparable to DDAO (∼mM), as seen in
samples SD5–6, the intensity of the mid-Q region
peak increases and is characteristic of charged micelle structure
factor. SANS profiles for SD 1–4 and SD6 showed good fits to
a prolate ellipsoid model. For SD6, the structure factor was modeled
with the Hayter–Penfold rescaled mean spherical approximation
(RMSA), indicating the presence of intermicellar interactions between
charged species. The SANS profile of SD5, which is observed to be
two-phase, is more accurately described by a disk-like shape, which
we fit with a cylinder model with comparable length, denoted Ddisk, and radius, denoted Rdisk. We hypothesize that the changes in molecular structure
and head group interactions, characterized by FTIR, cause the structural
changes in micelle nanostructure. All data show an upturn in the low-Q region, indicating the presence of aggregate structures
in addition to micelles. Additionally, after appropriate background
subtraction, SD5 and SD6 exhibit a power law of Q–4, indicating the formation of a well-defined
sharp interface. We interpret it as the formation of objects of large
dimensions (Figure S1). Through the combination
of optical appearance, DLS and SANS data suggest SD6 comprises a narrow-size
distribution of micelles, although the appearance of a low-Q power law for the coherent SANS data may indicate its
proximity to the phase boundary. Figure e shows the fitted structural parameters
from both ellipsoidal and cylindrical (discoidal) models. The error
bars correspond to the uncertainties estimated by the maximum range
of dimensions compatible with the data. As the phase boundary is approached,
the size and aspect ratio of micelles increases. The equatorial radius
of the micelle Req remains constant while
the polar radius Rp increases. As the
SDS concentration increases to 1 mM (SD5), the system becomes optically
turbid and two-phase, and the constituent micelles appear to transition
from ellipsoidal to discoidal. The fitted disk radius, which can provide
acceptable fits over the range 35–60 nm, corroborates well
the long decay time and conformational change for surfactant tails
observed by DLS and FTIR measurements, respectively. As the SDS concentration
is increased further, the solution appears single-phase (SD6) and
is made up of charged mixed SDS–DDAO micelles, which are prolate
ellipsoidal in shape.The DDAO-rich micelles exhibit a modest
size increase as they approach the phase boundary. The findings are
consistent with a study of micellar aggregation numbers for a mixture
of SDS and dodecyltrimethylammonium chloride (DTAC), a cationic–anionic
mixture.[32] The pK of DDAO monomer has been reported to be ∼5,[33] but the effective pK can be
as high as 1 pH unit higher for pure DDAO micelles[34−36] and about 2.5
units higher for mixed micelles. Electrostatic coupling of DDAO and
SDS in mixed micelles shifts the DDAO protonation equilibrium toward
the protonated form and consequently releases OH– ions and increases solution pH.[37,33] For such micelles,
the additive effect of lowering the solution pH (by adding additional
H+ ions) further increases the concentration of the cationic
form of DDAO within the micelles. From SD1 to SD4 with low concentration
of SDS (0.0001–0.01 mM), only a slight increase in size is
observed. By increasing the SDS concentration further by a factor
of 10 with a molar ratio of 5:1 DDAO:SDS at SD5, it is expected that
the high-concentration SDS– leads to strong electrostatic
interaction between DDAO+ and SDS– and
results in the formation of larger, disk-like micelles, which can
aggregate and induce phase separation in the solution. A similar effect
on the precipitate structure has been previously reported and appears
to be governed by the molar ratios of anionic and cationic surfactants
in the mixture.[38]Increasing the
solution concentration of SDS to 50 mM (SD6) results
in the formation of SDS-rich mixed micelles as inferred from the large
structure factor contribution to the SANS scattering profile, which
is characteristic of interaction between negatively charged micelles.
The fitted charge for samples SD1–6 illustrates this and is
shown in Figure f.
This charge, within the Hayter–Penfold RMSA model, corresponds
to the effective repulsion between charged spheroids with a given
separation. Owing to the relative molar ratio of SDS:DDAO, the DDAO
monomer–micelle equilibrium is shifted and we expect that DDAO+ is predominantly contained in mixed micelles. The free monomeric
concentration of DDAO is insufficient to precipitate, and so we traverse
the phase boundary and observe an optically clear solution comprising
SDS-rich micelles.
Approaching Phase Boundary from Mixed Surfactant
Series II
SD7–10 solutions containing a fixed concentration
of SDS
(1 mM) and a variable concentration of DDAO (0.01–50 mM) were
adjusted to pH 8 with HCl, and their physical appearance was monitored.
As illustrated in Figure a, SD9 exhibited a visible phase change signified by the appearance
of turbidity.
Figure 4
(a) SDS–DDAO series II, starting from the monomer
region,
at pH 8. Inset shows the optical appearance of the solutions. (b)
DLS data for solutions SD9 and SD10; intensity-weighted distribution
of R shown in inset. (c) ATR-FTIR spectra
of SD9–10 depicting the shift in the C–H stretching
region of surfactant tails (inset). (d) SANS profiles of solutions
SD7–10 and model fits to ellipsoidal micelles (SD10) and disks
(SD9), while SD7 and SD8 are monomeric. (e) Corresponding dimensions
and (f) total net charge. Red shaded area denotes the 2ϕ region.
(a) SDS–DDAO series II, starting from the monomer
region,
at pH 8. Inset shows the optical appearance of the solutions. (b)
DLS data for solutions SD9 and SD10; intensity-weighted distribution
of R shown in inset. (c) ATR-FTIR spectra
of SD9–10 depicting the shift in the C–H stretching
region of surfactant tails (inset). (d) SANS profiles of solutions
SD7–10 and model fits to ellipsoidal micelles (SD10) and disks
(SD9), while SD7 and SD8 are monomeric. (e) Corresponding dimensions
and (f) total net charge. Red shaded area denotes the 2ϕ region.DLS was used to investigate
the hydrodynamic size of the surfactant structures responsible for
the transition between faintly turbid SD9 and optically transparent
SD10 solutions (Figure b). Both samples appear to have single decay in the autocorrelation
function but with distinct differences in decay times. The optically
transparent sample, SD10, has a relatively short decay time while
the faintly turbid SD9 has a much longer one. The intensity-weighted
size distributions are shown as an inset in Figure b. SD10 is centered around a mean R of 2.9 nm, while SBL fitting yields two populations
contributing to the SD9 decay: a small shoulder at 32 nm and a main
peak at 73 nm. While the DLS instrumental configuration cannot decouple
translation and rotation from hydrodynamic motion measured, the SBL
fitting indicates two key length scales, which may correspond to discrete
populations of aggregate structures.
Fourier Transform Infrared
Spectroscopy
Spectroscopic
evidence for the C–H stretching regions of the spectra for
mixed surfactant solution indicates a constrained environment for
the surfactant tails, accompanying the structural transition (Figure c) and likely increase
in micelle size and aggregation number. This is the same observation
as when the two-phase region is approached at fixed DDAO concentration
and increasing SDS concentration (series I). The inset shows that
the frequency of the antisymmetric CH2 band exhibits a
decrease within the two-phase region. The changes can be interpreted
as indicating a decrease in the gauche/trans conformer ratio, i.e., a partial ordering of the surfactant tails, within
the ordered structures, which accompany a change in micelle shape,
aggregation, and phase separation.Figure d shows
the SANS profiles from mixtures SD7–10
and model fits, where appropriate. At a mixed total surfactant concentration
of 0.01 mM (SD7) or 0.1 mM (SD8), which is lower than the CMC of either
surfactant, the scattering shows a largely flat Q-independent signal ∼0.04 cm–1. This value
is indicative of the solvent D2O and implies the absence
of micelles in solution. The SANS profiles obtained when DDAO concentration
was increased to 5 mM (SD9) and 50 mM (SD10) are indicative of the
presence of micelles in solution. For both SD9 and SD10, an ellipsoidal
form factor and Hayter MSA structure factor modeled the data well,
and the fitted structure parameters are shown in Figure e. However, similar to SD5,
within the two-phase region, a disk-like shape gave better agreement
with the data and provides a more satisfactory model for SD9. Given
that both SD5 and SD9 arrive at the same concentration via two distinct
routes, if they were an equilibrium phase, they would be expected
to have the same solution structures. The slight difference in their
scattering profiles, on the other hand, could be attributed to the
evolution of these out-of-equilibrium structures over time during
the experiment. Specifically, the low-Q region (Q < 0.01 Å–1) exhibits an increase
in intensity, indicating aggregate growth, which is likely to vary
with time.In series II, the phase boundary is approached from
SDS and DDAO concentration well below their respective CMC values
and we observed the distinct lack of micelles present for both SD7
and SD8. It is known that monomeric SDS has no significant effect
on protonation of DDAO and therefore, given the solution pH = 8 >
pK ∼ 5, DDAO remains in its nonionic
form and no precipitation is observed. Further increasing the concentration
of DDAO to 5 mM, the surfactant concentrations reach the same molar
ratio as SD5. The same features are observed for SD5 as SD9; turbidity
of the solution, shift in C–H stretching frequency, long decay
time in DLS correlograms (and corresponding large R) alongside the respective SANS profiles suggest the formation
of aggregated disks. This highlights the role of the increased degree
of protonation of DDAO+ and the resulting stronger electrostatic
interactions with SDS, which lead to the solution transition into
the two-phase region, independent of the pathway approached.Thus, while the aggregate size and structure may be temporally
evolving, the presence of a two-phase region appears to be an equilibrium
feature. After increasing the DDAO concentration further, to 50 mM,
the relatively low concentration of SDS was insignificant to undergo
precipitation. The majority of SDS molecules are incorporated into
mixed micelles and, similar to SD6, a clear solution is formed. In
this case, a lack of apparent structure factor peak in the SANS profile
is indicative that, owing to the high DDAO molar ratio in the mixed
system, micelles remain largely in the unprotonated form. The evolution
of charge, extracted from the fitted structure factor, illustrates
this and is shown in Figure f.
Approaching Phase Boundary from Mixed Surfactant
Series III
Solutions SD11–SD14 contain mixed surfactant
with a molar
ratio of 70:30 SDS:DDAO with increasing total surfactant concentration.
As illustrated in Figure a, SD12 and SD13 exhibit a visible change in optical appearance
upon decreasing the pH to 8. SD12 appears faintly opaque and white,
while the turbidity with SD13 appears faintly blue.
Figure 5
(a) SDS–DDAO (molar
ratio 70:30) series III at pH 8; inset
shows the optical appearance of the solutions. (b) DLS data for solutions
SD12–14, with R distribution shown
in the inset. (c) ATR-FTIR spectra for SD12–14, depicting the
shift observed in the C–H stretching region of the surfactant
tails (inset). (d) SANS data and model fit. (e) Radii obtained from
fitting SD14 data to ellipsoidal micelles model and SD12 and SD13
to a disk model. (f) Fitted charge of surfactant structures. Red shaded
area denotes the 2ϕ region.
(a) SDS–DDAO (molar
ratio 70:30) series III at pH 8; inset
shows the optical appearance of the solutions. (b) DLS data for solutions
SD12–14, with R distribution shown
in the inset. (c) ATR-FTIR spectra for SD12–14, depicting the
shift observed in the C–H stretching region of the surfactant
tails (inset). (d) SANS data and model fit. (e) Radii obtained from
fitting SD14 data to ellipsoidal micelles model and SD12 and SD13
to a disk model. (f) Fitted charge of surfactant structures. Red shaded
area denotes the 2ϕ region.
Dynamic
Light Scattering
Figure b shows the autocorrelation functions from
samples SD12–SD14 and extracted intensity size distributions
shown as an inset. Sample SD14 appears entirely homogeneous and appears
with a single, fast decay, while the optically turbid SD12 and SD13
samples both appear turbid and with more complex, long decaying correlograms.
SD14 appears with a size distribution centered around R = 1.2 nm. The optically turbid samples both appear
with size distributions at the upper end of the measurable size range
by the VASCO KIN DLS instrument (∼10 μm). However, the
correlograms show noticeable differences at shorter timescales. SD13
has a small contribution from a faster decay. By constraining the
fitting algorithm to shorter timescales (<104 μs),
a small population with R = 55 nm can
be discerned (not shown in the inset). This suggests a coexistence
between a small population of nanoscale objects with the larger micron-scale
structure, while the SD12 sample, which optically appears turbid (white)
rather than a faint bluish color, has a correlogram dominated by the
presence of micron-scale precipitates.The mixtures
were found to be consistent with the previous two-phase samples in
series I and II but with a more pronounced downward shift of the C–H
stretching for SD12 (Figure c). This appears to coincide with the largest aggregate structure
observed with DLS. The highest wavenumber of antisymmetric C–H
stretching is observed for SD14 at 2823 cm–1, which
is typical of surfactant tails arranged in ellipsoidal micelles in
a gauche conformation.[39] At lower total
surfactant concentrations (SD13 = 11 mM) and (SD12 = 3.7 mM), the
arrangement of surfactant tails shifts to a more compact trans conformation,
as indicated by a 4 and 5 cm–1 decrease in antisymmetric
stretching for SD13 and SD12, respectively. A 5 cm–1 decrease in vibrational frequency for antisymmetric tail stretching
indicates that geometric constraints have shifted the orientation
of surfactant molecules within the micelles. These changes should
also be reflected in the surfactant head group’s vibrations.
S–O antisymmetric vibrations were examined in detail and revealed
a change in the shape and position of the S–O doublet for samples
SD12 and SD13 (Figure S2), suggesting the
presence of comparatively larger structures with straight surfactants
tails in a trans geometry and close interaction of
surfactant head groups.SANS
spectra of SD11
to SD14 are shown in Figure d. It is evident that there are significant differences in
the scattering profiles as a function of concentration at this fixed
molar ratio. Below the CMC (SD11), as estimated from our previous
study,[23] the profile is typical of scattering
from solvent alone and implies the absence of micelles. As concentration
is increased, the phase boundary is crossed and the scattering profile
from SD12 exhibits a significant low-Q upturn with
no mid-Q micellar peak. A micellar signal is observed
for SD13 and SD14 with a significant, sharp upturn observed at low-Q for SD13. For surfactant concentrations in the single-phase
region and above the CMC (SD14), an ellipsoidal model adequately describes
the SANS intensity. For samples that show turbidity, SD12 and SD13,
a cylindrical form factor with dimensions characteristic of disks
fits the data better. Fitted micelle dimensions and micelle charge,
extracted from the structure factor, are shown in Figure e,f, respectively. The lack
of the mid-Q correlation peak in SD12 is indicative
of the lack of intermicellar interactions, likely owing to the low
overall surfactant concentration. Additionally, the associative interaction
between DDAO+ and SDS– and subsequent
neutralization of the charge lower the average area occupied by the
surfactant head groups. A closer head group packing is evident from
the perturbation of S–O stretching frequency, making the formation
of disks more energetically favorable. The large radii (60–220
Å) extracted for SD12 and low-Q power law are
also consistent with DLS estimates of large aggregate structures in
the micron range. The approach to and across the phase boundary with
a fixed molar ratio of surfactant is also alike series II.The
evolution of structures and precipitate formation as they approach
the two-phase region as well as the precipitate dissolution into clear
solution after crossing the phase boundary emphasizes the importance
of surfactant stoichiometry and solution pH, particularly in formulations
containing pH-sensitive surfactants.
Composition Analysis of
Two-Phase Region
To further
understand the composition of phase-separated solutions, we centrifuged
them and observed the separation of the supernatant and precipitate
for SD12 and SD13 and not in the case of SD5 and SD9. This suggests
that the aggregate size varies within the two-phase region and with
proximity to the phase boundary. The sizes of structures formed by
SD5 and SD9 (30–60 nm), estimated from SANS and DLS are 3 times
smaller than those of SD12 (35–220 nm) and therefore do not
sediment when centrifuged. Two factors play a role in defining the
two-phase region: (i) at a fixed pH below the native, “floating”
pH increases the H+ ion concentration in solution and leads
to a greater fraction of protonated DDAO present in the mixed micellar
structures, and (ii) at intermediate stoichiometries, with similar
molar ratios of SDS and DDAO, electrostatic coupling of surfactants
within the micelles neutralizes the micelle charge and reduces intermicellar
repulsion. This results in a shape change in constituent micelles
as well as the formation of large aggregates, which lead to visible
turbidity. Variation in the size and shape of precipitated structures
has also been seen before for another anionic–cationic surfactant
mixture, SDS and cetylpyridinium chloride (CPCL), as the molar ratio
of SDS to CPCl was increased.[38]FTIR
spectra of the solution prior to centrifugation, the resulting supernatant,
and the precipitate after centrifugation are shown in Figure . Analysis of the precipitate
reveals the presence of highly ordered tails with a downward shift
of 7 cm–1 for CH2 stretching frequency
as well as a high wavenumber shift and an increase in frequency (1470
cm–1) for CH2 bending vibrations. The
frequency of the CH2 bending or “scissoring”
band is dependent upon the methylene chain packing and conformation.
Fully disordered liquid-like chains exhibit a considerably broadened
and relatively lower intensity scissoring band between 1468 and 1466
cm–1, as observed for micellar structure of surfactants,[29] while high frequencies (1470–1472 cm–1) suggest ordering of the methylene chains approaching
that of a crystalline geometry. This can be pictured as an extended
all-trans conformation, which contains a few gauche defects that are mostly near the chain ends.[40,41] Further changes in the asymmetric mode of the S–O stretching
band, which depends upon the environment and interaction of head groups,
are indicative of changes in surfactant–surfactant interactions
and useful in detailing the structural alterations.
Figure 6
Representative ATR-FTIR
spectra of a 2ϕ surfactant solution,
SD12, before (mixed solution) and after centrifugation (supernatant
and precipitate) at pH 8. Top panel shows the C–H stretching
region of hydrocarbon surfactant tail; bottom shows C–H bending
region of the tail and the antisymmetric S–O stretching region
of the sulfate head group. Schematics depict disks and aggregates
in the precipitate along with micelles and monomers, whereas the supernatant
consists of micelles and monomers.
Representative ATR-FTIR
spectra of a 2ϕ surfactant solution,
SD12, before (mixed solution) and after centrifugation (supernatant
and precipitate) at pH 8. Top panel shows the C–H stretching
region of hydrocarbon surfactant tail; bottom shows C–H bending
region of the tail and the antisymmetric S–O stretching region
of the sulfate head group. Schematics depict disks and aggregates
in the precipitate along with micelles and monomers, whereas the supernatant
consists of micelles and monomers.Two overlapping peaks in the region of 1200–1240 cm–1 describe the directionality of the S–O interaction
and correspond to the antisymmetric and symmetric S–O stretching
modes. They are extremely sensitive to head group interactions parallel
and perpendicular to the head group surface. The precipitate spectrum
of SD12 shows an asymmetric S–O band near 1263 cm–1 accompanied by another low intensity major band near 1205 cm–1. The changes in the symmetric mode also show perturbations,
presumably because of the electrostatic coupling between surfactants
and the proximity of the SDS and DDAO head groups. The major changes
associated with vibrational modes of surfactant head groups are consistent
with the frequency shifts observed for both stretching and bending
modes of CH2, showing increased methylene chain straightening.
The vibrational mode perturbations provide insight into the molecular
structural arrangement; the precipitate in the two-phase region has
vibrational signatures typical of a more crystalline and ordered material.
The precipitate spectra shown in Figure suggest that the material may be heterogeneous
in nature. Additionally, the spectra of solutions and supernatant
exhibit similarity in their vibrational responses and imply that micelles
and large aggregate structures coexist in the two-phase region.
Conclusions
We have experimentally investigated the solution
structure and
phase equilibrium of a model anionic–amphoteric mixed surfactant
system, namely, SDS:DDAO in water, focusing on the evolution across
the single-phase (micellar and monomeric) and two-phase region, or
a precipitate loop. The SDS:DDAO system is synergistic, for instance,
exhibiting a large decrease in surface tension and CMC at intermediate
molar ratios, with the minimum at approximately 1:1 SDS:DDAO. The
presence of SDS leads to the electrostatic coupling and enhanced protonation
of DDAO in mixed micelles, accompanied by an increase in solution
pH with the maximum at equimolar ratios of SDS and DDAO, owing to
the release of OH– ions back into solution. Decreasing
pH, by acid addition, below this native “floating” pH
value leads to the opening and widening of a biphasic region at intermediate
SDS:DDAO ratios. From a practical standpoint, this is problematic
as it causes aggregation and surfactant precipitation. This behavior
is rationalized in terms of the increased fraction of protonated DDAO
in the monomeric form and within mixed micelles. In turn, higher DDAO+ concentration increases electrostatic interactions with SDS–. At intermediate stoichiometries, this eventually
results in solution demixing and the formation of a two-phase region,
which widens toward lower overall surfactant concentrations.In order to elucidate the solution structures in concentration
ranges approaching and within the biphasic region, we have employed
a combination of DLS, SANS, and FTIR. Specifically, three routes were
considered, from the micellar and monomeric phase, intersecting the
phase boundary. At fixed DDAO concentration, approximately 5 times
above its neat CMC, and increasing SDS concentration (series I), micelles
elongate as they approach the two-phase region and transition into
elongated disks (∼5 nm) up to larger aggregates (∼50
nm) within the two-phase region. A decreased CH2 frequency
of surfactant tails suggests a gauche/trans conformational change
and ordering. We interpret this change in molecular packing to be
responsible for the nanoscale structural change from prolate ellipsoids
to disk, as estimated by SANS. Within the two-phase region, disks
form and aggregate into large structures that coexist with micelles
and monomers.The two phase region was also accessed via composition
pathways
originating from the monomer phase, specifically at fixed SDS concentration,
increasing DDAO concentration (series II), and a fixed molar ratio
of 70:30 SDS:DDAO (series III). While the CMC at a 70:30 molar ratio
is found to be 1.1 mM (at pH∼9), the solutions demixed at a
concentration of 1.4 mM at fixed pH 8, therefore near the (un-adjusted)
CMC conditions from the monomeric phase. Importantly, the presence
of disks in the two-phase region when approached from either direction
indicates that the two-phase structures are pathway-independent. Variation
in the size of the solution structures in the two-phase region is
influenced by both pH and composition of both surfactants and proximity
to the phase boundary. Solutions containing larger aggregates (from
∼20 nm up to micron range) precipitated upon centrifugation.
Changes in the surfactant tail and head group vibrational spectra
are indicative of highly ordered structures, akin to crystals. The
results suggest that monomers, micelles, disks, and crystals coexist
in the two-phase zone. The two-phase region forms a re-entrant transition
and returns to a single phase comprising mixed micelles. This occurs
when the SDS:DDAO molar ratios are asymmetric and the resulting micelles
are either SDS-rich and charged or DDAO-rich and uncharged. Our findings
provide insight into the composition space and structure of the species
responsible for the precipitation loop in mixed surfactant systems
under the effect of pH and elucidate the nature of undesirable behavior
in synergistic anionic/amphoteric surfactant mixtures, relevant to
their practical use.
Authors: Sepideh Khodaparast; William N Sharratt; Gunjan Tyagi; Robert M Dalgliesh; Eric S J Robles; João T Cabral Journal: J Colloid Interface Sci Date: 2020-08-17 Impact factor: 8.128