Brenda L Kessenich1, Nihit Pokhrel1, Joshua K Kibue2, Markus Flury3, Lutz Maibaum1, James J De Yoreo2,4. 1. Department of Chemistry, University of Washington, Seattle, Washington 98195-1700, United States. 2. Department of Materials Science and Engineering, University of Washington, Seattle, Washington 98195-1700, United States. 3. Department of Crop and Soil Sciences, Washington State University, Pullman, Washington 99164-6420, United States. 4. Physical Sciences Division,Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Abstract
Amphiphilic molecules can alter the wettability of soil minerals. To determine how the headgroup chemistry of amphiphiles determines these effects, we investigate a system of the clay montmorillonite with long-chain phospholipids. We use phosphatidylglycerol (PG) phospholipids to contrast with our previous work using phosphatidylethanolamine (PE) lipids. Zwitterionic PE lipids can sorb to the negatively charged montmorillonite surface, whereas negatively charged PG lipids cannot. Employing a suite of techniques from molecular dynamics, atomic force microscopy, fluorescence microscopy, and contact angle measurements, we define sample characteristics from molecular-scale structure to the macroscopic wettability. We find that PG lipids do not significantly alter montmorillonite wetting characteristics, such as the contact angle, flow viscosity, and the characteristic time scale for droplet imbibition. On comparing PE and PG lipid/clay films, we find that, among the phospholipids compared, they must have three characteristics to change clay/lipid film wettability: they must bind to the mineral surface, be solid at room temperature, and have a relatively continuous distribution throughout the film.
Amphiphilic molecules can alter the wettability of soil minerals. To determine how the headgroup chemistry of amphiphiles determines these effects, we investigate a system of the clay montmorillonite with long-chain phospholipids. We use phosphatidylglycerol (PG) phospholipids to contrast with our previous work using phosphatidylethanolamine (PE) lipids. Zwitterionic PE lipids can sorb to the negatively charged montmorillonite surface, whereas negatively charged PG lipids cannot. Employing a suite of techniques from molecular dynamics, atomic force microscopy, fluorescence microscopy, and contact angle measurements, we define sample characteristics from molecular-scale structure to the macroscopic wettability. We find that PG lipids do not significantly alter montmorillonite wetting characteristics, such as the contact angle, flow viscosity, and the characteristic time scale for droplet imbibition. On comparing PE and PG lipid/clay films, we find that, among the phospholipids compared, they must have three characteristics to change clay/lipid film wettability: they must bind to the mineral surface, be solid at room temperature, and have a relatively continuous distribution throughout the film.
Soil water repellency (SWR) is a phenomenon in which soils do not
readily absorb and retain water.[1] While
SWR negatively affects a number of environmental phenomena, such as
causing nonuniform water infiltration[2] and
increasing surface runoff and erosion,[3] the underlying mechanisms that cause it are not well understood.Organic matter in soil is generally considered a main source of
SWR.[4] Numerous prior studies suggested
that amphiphilic molecules have a particularly pronounced impact on
SWR.[5] Most of the previous work characterizing
SWR has been done with either natural organic matter[6] or bulk soils.[7] While such studies
show that different soils have different degrees of water repellency
and that organic matter and soil water content are important factors
controlling water repellency, only a few studies determine the underlying
mechanisms by performing both imaging and wettability measurements
on a particulate surface.[8] Therefore, to
determine the mechanism by which lipids cause SWR, we investigated
model systems consisting of one lipid and one particulate mineral.Previously, we analyzed a system of montmorillonite and zwitterionic
phosphatidylethanolamine (PE) lipids.[9] One
saturated PE lipid, 1,2-distearoyl-sn-glycero-3-phosphoethanolamine
(DSPE), and one unsaturated PE lipid, 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE), were studied to determine
if the state of the lipid—liquid or solid—altered wettability.
We found that the liquid, unsaturated lipid and the solid, saturated
lipid had very different distributions in the film at the nanoscopic
and microscopic levels. The solid, saturated DSPE was present as isolated
islands in the film, while the liquid, unsaturated DOPE was distributed
throughout the sample film. The most significant alteration of wettability
(as measured by contact angle and imbibition kinetics) occurred when
DSPE was melted and then mixed with the montmorillonite particles
before cooling, creating a situation where a solid lipid was distributed
throughout the film. Previous literature reports have hypothesized
that water flow in clay is non-Newtonian,[10] that is, the liquid viscosity changes under stress. Our results
agree with these prior reports, as we found that the spreading characteristics
of water droplets on the films implied that the water exhibited non-Newtonian
behavior in the form of shear thinning (reduction of viscosity) during
imbibition into the film.[10] Relative to
clay alone, melted DSPE caused water to have a higher, more viscous
fluid index and, therefore, more Newtonian behavior than was present
in the clay alone. This suggested that a solid lipid distributed through
the film could change the wettability more than a solid, nondistributed
lipid or a liquid, distributed lipid. In all cases, the PE lipids
were able to sorb to the montmorillonite surface.For this work,
we selected lipids that do not readily bind with
mineral surfaces and thus should have a less pronounced effect on
wettability. To this end, we investigated the mechanisms by which
water repellency is altered by negatively charged phosphatidylglycerol
(PG) lipids on montmorillonite. Due to the PG headgroup’s negative
charge, PG lipids are not expected to sorb to the montmorillonite
planar surface. One saturated, solid lipid (DSPG) and one unsaturated,
liquid lipid (DOPG) were investigated for direct comparison with DSPE
and DOPE. All four lipids (DOPE, DSPE, DOPG, and DSPG) have two 18-carbon
tails. Our results indicate that both the headgroup and tailgroup
chemistry influence lipid-induced changes in SWR.
Experimental Section
Techniques were selected to encompass
scales from molecular to
macroscopic. At the smallest scale, molecular dynamics (MD) simulations
provide information on the type of aggregates formed by the lipids
and the binding strength of these aggregates to the mineral surface.
Atomic force microscopy (AFM) and fluorescence microscopy were used
to characterize the film surface and distribution of lipid through
the films. Wettability was measured with the water contact angle,
flow viscosity, and kinetics of infiltration. A complete description
of the methods and materials used is provided in Kessenich et al.,
and the associated supplement.[9]
Materials and Sample Preparation
The lipids 1,2-dioleoyl-sn-glycero-3-phospho-(1′-rac-glycerol)
(DOPG) and 1,2-distearoyl-sn-glycero-3-phospho-(1′-rac-glycerol) (DSPG)
were acquired from Avanti Polar Lipids. Montmorillonite was purchased
from the Clay Minerals Society and further ion-exchanged to fully
saturate the sorption sites with sodium cations. Lipid/montmorillonite
films were prepared as follows. Lipids were suspended in water via
the gentle hydration method for making small unilamellar vesicles;
in the case of DSPG, the lipids were heated over the melting point
for several minutes to facilitate suspension.The lipids were
then mixed with montmorillonite suspensions, at ratios where the surface
area of the lipid added was known, assuming a monolayer lipid coverage
on the mineral surfaceEquation does not represent
the true coverage, but only a theoretical
maximum coverage as a lipid monolayer (reported as the percent coverage
as monolayer, %CAM). An area per molecule[11,12] of 60 Å2 and a montmorillonite surface area[13] of 22.7 m2/g were used.The
aqueous mixtures of lipid and clay were then pipetted onto
freshly cleaved mica surfaces and allowed to air-dry overnight. For
wettability measurements, fluorescence microscopy, and large-scale
AFM, 16 mg/mL montmorillonite suspensions were used; 1 mg/mL Montmorillonite
was used for small-scale AFM.
Atomic
Force Microscopy (AFM)
To
identify lipid aggregates on the surface of the films, an Asylum Cypher
ES was utilized to image at scales under 5 μm. To image the
film topography, a Bruker ICON was used to image at scales of 50 μm.
In all cases, imaging was performed with Asylum AC240TS cantilevers,
which have a spring constant of 2 N/m and a frequency of 70 kHz.
Molecular Dynamics (MD) Simulation
The
system was modeled the same way as in our previous paper using
a CLAYFF force field for the montmorillonite, CHARMM36 force field
for the lipids, and the TIP3P force field for the water.[9] The shapes of the DSPG lipid aggregates were
also inferred in a similar way; we computed the density of tail carbonatoms and head phosphorous atoms, as DSPG does not have a nitrogen
atom in the headgroup. We calculated the binding energy of a single
DSPG lipid onto the surface of the clay using replica exchange umbrella
sampling where we bias the distance between the phosphorous atom in
the lipid head and the surface of the clay. We simulated 35 windows,
each 0.1 nm apart with a constraint of 500 kJ/(mol nm2).
All other simulation protocols remain the same as in the previous
paper.
Fluorescence Microscopy
To map the
distribution of the lipid within the film across hundreds of microns,
1 mol % of rhodamine–DMPE dye was mixed into the lipids prior
to the film preparation. The resulting distribution of fluorescence
intensity was imaged with a Nikon Y-FL epifluorescence microscope.
Brightness in the fluorescence images is proportional to the amount
of lipid present in a given location.
Wettability
Initial contact angle
and droplet shape over time were monitored with a Kruss DSA100. Five
or more droplets were observed for each sample. In addition to the
initial contact angle, the droplets were video-recorded for 70 s as
they spread out and imbibed into the sample films. The radius was
extracted using a custom MATLAB script and fit with eq using a Python’s Scipy optimize.curve_fit
function.We determined the wettability of our systems with
a method adapted from Chao et al.[14,15] Briefly, a
water droplet is placed on the sample surface, and the change in the
droplet radius is monitored over time. The radial expansion of a droplet
spreading across a porous surface where the fluid can also infiltrate
into the sample is described as followswhere R is the droplet radius, R0 is the droplet radius at t = 0, K is an inverse time constant (TC = 1/K), and a is a proxy for the fluid index. K depends on a number of material properties of the film
and fluid. For our system, a is related to the fluid
index n byThe fluid index n indicates
the deviation of the fluid behavior away from that of a Newtonian
fluid. In a Newtonian fluid, the fluid viscosity is independent of
strain, the fluid index n = 1, and a = 0.5. Shear-thinning fluids, which have reduced viscosity under
strain, have n < 1 and a <
0.5, while shear-thickening fluids have n > 1
and a > 0.5.The wettability variables of
the initial contact angle, TC, and a will be used
below to characterize the wettability of
the films.
Image Processing and Quantification
Fluorescence and large-area (50 × 50 μm2)
AFM
images of sample topography were analyzed using the same procedure
as in our previous publication. Briefly, each image was turned into
a binary image at three different thresholds: 25, 50, and 75% (Figure ). The threshold
percentage (e.g., 25%) renders everything below the percentile of
the gray value as white and everything above it as black. Using multiple
thresholds enables the capture of morphological detail that would
be lost if only one threshold was used.
Figure 1
Example of image processing
for a 50 × 50 μm2 DOPG/montmorillonite film.
The original image (A) is first turned
into a binary image at three thresholds: (B) a 25% threshold where
only the bottom 25% of the image was left white, (C) the bottom 50%
of the image is light, and (D) the bottom 75% of the image is white.
The binary images are then skeletonized (E–G). This reduces
a complex grayscale image to 1-pixel-wide lines that can be easily
counted and quantified. The ratio of dark/light pixels in the skeletonized
images will be referred to as the “skeleton ratio”.
Example of image processing
for a 50 × 50 μm2 DOPG/montmorillonite film.
The original image (A) is first turned
into a binary image at three thresholds: (B) a 25% threshold where
only the bottom 25% of the image was left white, (C) the bottom 50%
of the image is light, and (D) the bottom 75% of the image is white.
The binary images are then skeletonized (E–G). This reduces
a complex grayscale image to 1-pixel-wide lines that can be easily
counted and quantified. The ratio of dark/light pixels in the skeletonized
images will be referred to as the “skeleton ratio”.After binarization, each image was skeletonized
with ImageJ, which
reduces the dark portions of the binarized images to a line 1 pixel
wide down the center of the prior black region. The skeletonized images
were then analyzed with the ImageJ macro Analyze Skeleton to obtain
the number of pixels where the lines meet, which gives an indication
of the interconnectedness of the AFM topography. Junctions are reported
as the number of junction pixels per square micron.The ratio
of dark-to-light pixels in the skeletonized images was
also recorded, as this gives an indication of ridge spacing in the
case of AFM topography images and of lipid density in the case of
fluorescence images. The ratio will henceforth be abbreviated as the
skeleton ratio. For AFM topography images such as Figure A, the skeleton ratio is inversely
proportional to the separation of the ridges in the topography. For
fluorescence images such as in Figure , the skeleton ratio reflects the degree to which the
lipid spreads through the film (a film with a very patchy lipid distribution
will have a small skeleton ratio, and a film with a more continuous
lipid distribution will have a larger skeleton ratio).
Figure 4
Film
topography and lipid distribution. (A–C) Fluorescence
images of the film. Scale bars are 50 μm. Brighter regions contain
more lipid and darker areas contain less lipid. (A) DSPG at a 26%
coverage. (B) DOPG at a 26% coverage. (C) DSPE at a 26% coverage;
reprinted with permission from Kessenich et al., J. Colloid Interface
Sci. 2019, 555, 498–508, copyright 2019 Elsevier. (D) AFM image
of the film topography. For additional fluorescence images, please
refer to the Supporting Information. The
contrast in the fluorescence images has been increased for feature
visibility.
Results and Discussion
Lipid Morphology
AFM imaging showed
two dominant lipid morphologies on the film surface: small, roughly
circular lipid aggregates and bilayer sheets (Figures and S5). Relative
to PE lipids, PG lipid aggregates strongly preferred edge sites on
the montmorillonite flakes (Table and Figures and S2). DSPG formed spherical
aggregates under a 30% coverage and formed patchy bilayer sheets above
30% coverage (Figure B,C). This behavior is similar to that of the saturated lipidDSPE,
which switched from forming small aggregates to forming bilayers at
a 40% coverage. We conclude that this change in morphology is linked
to the state of the lipid at the temperature at which the film is
prepared, as both DSPE and DSPG are solid at room temperature, while
DOPG and DOPE, which continue forming spherical aggregates at higher
coverage, are liquid at room temperature. (DSPE can be forced to form
spherical aggregates at higher coverage by preparing the films above
its melting temperature; this case will be referred to as “melted
DSPE” or “heated DSPE”.)
Figure 2
Lipid aggregates on montmorillonite
imaged with AFM topography.
Arrows indicate typical aggregates. See the Supporting Information for a cartoon version of this figure for additional
clarification of the features present. (A) DSPG at a 10% coverage.
(B) DSPG at a 25% coverage. (C) DSPG at a 50% coverage. Inset: height
profile of the edge of a DSPG bilayer on the surface. Additional height
profiles are presented in Figure S3. (D)
Phase image of (C), which more clearly shows the DSPG bilayer in the
lower portion of the image. The DSPG bilayer is outlined in both (C)
and (D). (E) DOPG at a 10% coverage. (F) DOPG at a 25% coverage. (G)
DOPG at a 50% coverage. (H) Montmorillonite with no lipid added. Panel
reprinted with permission from Kessenich et al., J. Colloid Interface
Sci. 2019, 555, 498–508, copyright 2019 Elsevier.
Table 1
Fraction of Aggregates on Clay Flake
Edges Out of the Total Number of Spherical Aggregates Counteda
lipid
% coverage
fraction
of aggregates on clay edges
aggregate
diameter (standard deviation)
DOPG
10
0.89
11.7 ± 2.7
25
0.80
7.9 ± 1.8
50
0.11
6.6 ± 1.2
DSPG
10
1.00
11.8 ± 2.1
25
0.97
13.3 ± 2.6
30
0.92
5.4 ± 1.3
40
NA; forms bilayers
NA; forms bilayers
50
NA; forms bilayers
NA; forms bilayers
Typically, over
30 aggregates were
counted for each sample, except for DOPG at a 10% coverage, which
was difficult to image. The number of aggregates on the edge was then
divided by the total number of aggregates to obtain the fraction of
aggregates on the edge.
Lipid aggregates on montmorillonite
imaged with AFM topography.
Arrows indicate typical aggregates. See the Supporting Information for a cartoon version of this figure for additional
clarification of the features present. (A) DSPG at a 10% coverage.
(B) DSPG at a 25% coverage. (C) DSPG at a 50% coverage. Inset: height
profile of the edge of a DSPG bilayer on the surface. Additional height
profiles are presented in Figure S3. (D)
Phase image of (C), which more clearly shows the DSPG bilayer in the
lower portion of the image. The DSPG bilayer is outlined in both (C)
and (D). (E) DOPG at a 10% coverage. (F) DOPG at a 25% coverage. (G)
DOPG at a 50% coverage. (H) Montmorillonite with no lipid added. Panel
reprinted with permission from Kessenich et al., J. Colloid Interface
Sci. 2019, 555, 498–508, copyright 2019 Elsevier.Typically, over
30 aggregates were
counted for each sample, except for DOPG at a 10% coverage, which
was difficult to image. The number of aggregates on the edge was then
divided by the total number of aggregates to obtain the fraction of
aggregates on the edge.Aggregate heights were measured for DSPG at a 25% coverage. Aggregates
ranged in height from 0.3 to 6.4 nm, with the average height at 2.8
± 1.7 nm. As the average aggregate was around 13 nm in diameter,
the taller heights (>2 nm) are consistent with a hemimicellar surface
structure. Shorter heights may represent collapsed micelles or hemimicelles.
Simulation Results
Molecular dynamics
suggests that DSPG lipids, which have negatively charged headgroups,
do not bind to the surface (Figure ). The montmorillonite surface is also negatively charged,
so the lipids are repelled from it and freely float in water instead
(note that water molecules are not shown in Figure for clarity). A single DSPG lipid molecule
prefers bulk water by 2 kJ/mol over the montmorillonite surface. The
maximum in the free-energy profile lies at the surface of the clay.
This also means that the aggregates seen on the montmorillonite with
AFM (Section )
were most likely forced onto the surface by the drying process. As
is the case with single lipids, the aggregates also prefer the bulk
water. The headgroups orient toward the water, forming perfect spherical
micelles at a 25% coverage or cylindrical micelles at a 50% coverage.
We infer this from the symmetric nature of all four number density
profiles in Figure D. The tail density profiles for both coverages are unimodal. The
phosphate density for 25% does not have any peak, and that of 50%
is bimodal. Based on these MD simulations, we hypothesize that DSPG
and DOPG form micelles in solution, rather than vesicles or bilayers.
This supports the data from Blosser et al. who found that DPPG lipids
do not readily form vesicles in water. (Note that in Blosser et al.,
the ternary phase diagrams are marked “inaccessible”
for the 100% DPPG composition, indicating that vesicles larger than
the optical limit did not form. We expect DSPG to behave similarly
to DPPG given the similarity in structure.)[16]
Figure 3
Results
from MD simulations. Representative simulation snapshots
are shown in panels A (25% CAM) and B (50% CAM), where lipid phosphorus
is represented in orange and oxygen in red. The clay oxygen, silicon,
aluminum, and magnesium are represented in red, yellow, pink, and
cyan, respectively. The ions and water molecules in the simulation
are not shown for clarity. The free energy of single lipid aggregate
binding to the surface of the montmorillonite is not favorable for
single DSPG molecules (C). Density plots for the freely floating aggregates
are presented in (D).
Results
from MD simulations. Representative simulation snapshots
are shown in panels A (25% CAM) and B (50% CAM), where lipid phosphorus
is represented in orange and oxygen in red. The clay oxygen, silicon,
aluminum, and magnesium are represented in red, yellow, pink, and
cyan, respectively. The ions and water molecules in the simulation
are not shown for clarity. The free energy of single lipid aggregate
binding to the surface of the montmorillonite is not favorable for
single DSPG molecules (C). Density plots for the freely floating aggregates
are presented in (D).
Lipid
Distribution in the Film
Both
DOPG and DSPG are relatively continuously distributed through the
film (Figures and S7). As seen
before, the weblike pattern in the fluorescence is linked to the film’s
texture at the scale of tens of microns. However, DSPG is solid at
room temperature and, as such, we expected its distribution to be
discontinuous, consisting of isolated aggregates that tend to lie
away from the ridges, as was the case with DSPE[9] (Figure C). The reason for the difference between the distribution of DSPG
and DSPE is unclear. DSPG’s melting temperature, 55 °C,
is lower than DSPE’s of 74 °C, so we hypothesize that
in between these temperatures, there is a melting point that divides
continuous from discrete distributions or a temperature range over
which the distribution transitions from continuous to discrete. We
hypothesize that such a temperature could be the critical temperature
separating the formation of micelles and the formation of bilayers.
As shown in the MD simulations, DSPG forms spherical micelles in solution
(Figure ), whereas
DSPE aggregates were in the form of bilayers.[9]Film
topography and lipid distribution. (A–C) Fluorescence
images of the film. Scale bars are 50 μm. Brighter regions contain
more lipid and darker areas contain less lipid. (A) DSPG at a 26%
coverage. (B) DOPG at a 26% coverage. (C) DSPE at a 26% coverage;
reprinted with permission from Kessenich et al., J. Colloid Interface
Sci. 2019, 555, 498–508, copyright 2019 Elsevier. (D) AFM image
of the film topography. For additional fluorescence images, please
refer to the Supporting Information. The
contrast in the fluorescence images has been increased for feature
visibility.DSPG does not significantly
change the contact angle or the value of a. DOPG
reduces the contact angle slightly but does not alter either the fluid
index proxy a or the time constant of imbibition
TC (Figures A–C
and S4). Humidity likely changes a, as the a measured for montmorillonite
in these experiments was lower than that reported in our previous
paper, and the only known factor that was different was the laboratory’s
relative humidity. For the previous paper, the wettability was measured
at between 30 and 40% relative humidities, whereas this data was collected
between 40 and 50% humidities. Both sets were collected at 29 °C.
Figure 5
Comparison
of PE and PG lipid wetting characteristics. Error bars
indicate standard deviations. (A) Contact angle. (B) Exponent a. Note that the value of a is likely lowered
by increased humidity. (C) Time constant TC. (D) Comparison of the
time constant TC and flow viscosity (a) for PE and PG lipids. (E)
Comparison of the contact angle and a. (F) Comparison
of the contact angle and TC. PE data reprinted with permission from
Kessenich et al., J. Colloid Interface Sci. 2019, 555, 498–508,
copyright 2019 Elsevier. See Figures S4 and S5 to view PG data on expanded axes.
Comparison
of PE and PG lipid wetting characteristics. Error bars
indicate standard deviations. (A) Contact angle. (B) Exponent a. Note that the value of a is likely lowered
by increased humidity. (C) Time constant TC. (D) Comparison of the
time constant TC and flow viscosity (a) for PE and PG lipids. (E)
Comparison of the contact angle and a. (F) Comparison
of the contact angle and TC. PE data reprinted with permission from
Kessenich et al., J. Colloid Interface Sci. 2019, 555, 498–508,
copyright 2019 Elsevier. See Figures S4 and S5 to view PG data on expanded axes.That PG lipids do not significantly change a or
TC is unsurprising, given that the non-Newtonian flow—i.e.,
the degree of shear thinning (see eq )—in clay is due to water–clay interactions.
Therefore, if the PG lipids do not stick to the clay and thus alter
the interfacial water–clay interactions, no change in fluid
behavior is expected.Among all lipids tested, melted DSPE caused
the largest changes
in contact angle, a, and TC (Figure A–C and Table ). The PG lipids caused the least change,
with DOPE and DSPE having intermediate effects. The primary difference
between the PG and PE lipids is that the PG lipids do not bind to
the clay surface, while PE lipids do bind. Therefore, we conclude
that, to alter wettability, the lipids must have a headgroup that
interacts with the montmorillonite surface.
Table 2
Percent
Difference between the Measurement
on Plain Montmorillonite and the Measurement with Lipid That Most
Deviates from the Montmorillonite Valuea
Darker
colors indicate a larger
difference.
Darker
colors indicate a larger
difference.The degree of
shear thinning is not, in the case of the PG lipids,
linked to the time constant of imbibition (Figures D and S5), but
as there is essentially no variation in either a or
TC, this finding is also reasonable given that the time constant must
be affected by the fluid viscosity. In contrast, for the PE lipids
where both parameters vary over a substantial range, there is a strong
correlation between water that exhibits less shear thinning (larger,
more viscous a) and slower flow (larger TC) (Figure D). There is also
a strong relationship between a higher contact angle and lower degree
of shear thinning (larger a) for heated/melted DSPE
(Figure E, eq ). This suggests that,
for some lipids, more surface hydrophobicity and less shear thinning
are linked. This result is consistent with the conclusion in our previous
study[9] that heated DSPE leads to less shear
thinning, because the molten lipid, which spreads throughout the film,
solidifies upon cooling and thus creates larger separations between
the individual montmorillonite flakes as the film dries. These larger
spaces mitigate the shear-thinning effect of smaller interflake separation
in the lipid-free film. However, while there is also a positive correlation
between contact angle and time constant (Figure F), that correlation is weaker. Thus, the
other material factors that impact TC[15] appear to weaken the correlation between surface hydrophobicity
and the speed of imbibition even when surface hydrophobicity and degree
of shear thinning are strongly correlated.
Connections
between Wettability (a, TC, and Contact Angle) and
Physical Parameters (Lipid Aggregate
Density and Location, Lipid Distribution, and Film Topography)
Relative to PE lipids, PG lipids exhibited a few strong correlations
between wettability and physical variables (Tables and S2 and Figures , S8, and S9). As the PG lipids have limited impact on a and TC, even strong linear correlations have little causative
meaning.
Table 3
Overview of Correlation Strength for
Linear Comparisons of PG Wetting Variables to Physical Variablesa
Wetting variables are listed across
the top and physical variables down the side. Refer to Figures and 2 for definitions of the physical variables. The cell shading indicates
the value of the r2. Darker colors indicate
a higher r2, and lighter colors indicate
a lower r2. Pairings and r2 value >0.80 are also marked with an X. See Table S2 for a complete listing
of r2 values.
Figure 6
Correlations between a physical variable (the fraction of lipid
aggregates present on clay flake edges) with wetting variables: (A)
DSPG a values and (B) DOPG contact angle.
Correlations between a physical variable (the fraction of lipid
aggregates present on clay flake edges) with wetting variables: (A)
DSPG a values and (B) DOPG contact angle.Wetting variables are listed across
the top and physical variables down the side. Refer to Figures and 2 for definitions of the physical variables. The cell shading indicates
the value of the r2. Darker colors indicate
a higher r2, and lighter colors indicate
a lower r2. Pairings and r2 value >0.80 are also marked with an X. See Table S2 for a complete listing
of r2 values.For DSPG, the contact angle showed correlations with
the size,
density, and edge preference of the lipid aggregates (Figure B), but the error bars preclude
strong conclusions about the mechanistic implications, if they exist
at all. TC correlated with the aggregate diameter and fluorescence
measure of lipid distribution, but these lines were essentially flat
given that TC does not vary much over the concentrations investigated
(Figure S8). However, the sudden increase
in TC at a 40% coverage, which is the same concentration that DSPG
switches from forming spherical aggregates to forming bilayer patches,
is potentially of note. The value of a for DSPG is
also correlated with the aggregate edge preference, though the error
bars on a indicate that this correlation is unlikely
to represent a true causative relationship (Figure A).DOPG exhibited even fewer correlations
than did DSPG. A tentative
connection exists between contact angle and aggregate edge preference
(Figure B). Since
aggregates on the edge of clay flakes could alter pore space or how
the surface traps air, this correlation may actually represent causation.
TC is correlated with measures of the topography, but these points
were present in a tight cluster, so a causative relationship between
these factors is unlikely (Figure S9).The limited changes in PG–montmorillonite film wettability
that are observed are mostly correlated to measures of the aggregate
distribution on the surface (see Section 3.1). By contrast, measures
of lipid distribution across hundreds of microns had the largest impact
on PE–montmorillonite film wettability.[9] Therefore, we conclude that headgroup chemistry not only determines
trends in wettability, but the mechanism by which the wettability
is altered may also change with headgroup chemistry.
Summary and Conclusions
Whether and to what degree
phospholipids affect montmorillonite
wettability depends on both the lipid head and tail chemistry. Overall,
melted DSPE caused the largest changes in the measured wettability
variables, raising the contact angle, fluid index, and time constant
for imbibition. Thus, we hypothesize that to change the contact angle,
imbibition time constant, and fluid index, a lipid must (1) interact
strongly with the clay surface, (2) be solid at room temperature,
and (3) be relatively continuously distributed through the film. DSPG
meets criteria (2) and (3) but does not bind to the surface and thus
does not alter wettability as drastically as melted DSPE. As soil
wettability also depends on whether the soil is wet or dry,[2] our results suggest that even in a dry state,
PG lipids do not alter wettability.In the case of PG lipids,
which do not bind to the clay surface,
there is additionally no relationship between the degree of shear
thinning in clays and the time constant of imbibition. For PE lipids,
which do bind, there is a positive linear trend for longer time constants
and lower shear thinning. PE lipids overall caused greater magnitude
changes in a, TC, and the contact angle. Therefore,
we conclude that phospholipids that bind to the clay surface have
the most influence on wettability. Also, that influence is maximized
when the lipids can be distributed throughout the clay film in a liquid
state, but exist in a solid state at the temperature of exposure to
water. This latter conclusion highlights the potential role that temperature
may play in the development of high SWR due to lipid–soil interactions
during wetting and drying cycles. Our results support the use of clay
as a method of SWR remediation, given its intrinsic hydrophilicity
and resistance to organic-induced hydrophobicity among the molecules
studied here.
Authors: Vi Khanh Truong; Elizabeth A Owuor; Pandiyan Murugaraj; Russell J Crawford; David E Mainwaring Journal: J Colloid Interface Sci Date: 2015-08-17 Impact factor: 8.128
Authors: Brenda L Kessenich; Nihit Pokhrel; Elias Nakouzi; Christina J Newcomb; Markus Flury; Lutz Maibaum; James J De Yoreo Journal: J Colloid Interface Sci Date: 2019-07-26 Impact factor: 8.128