Yaxing Li1, Valentin Salvator1, Herman Wijshoff2,3, Michel Versluis1, Detlef Lohse1,4. 1. Physics of Fluids Group, Department of Science and Technology, Mesa+ Institute for Nanotechnology, Max Planck Center for Complex Fluid Dynamics and J. M. Burgers Centre for Fluid Dynamics, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands. 2. Department of Mechanical Engineering, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands. 3. Océ Technologies B.V., P.O. Box 101, 5900 MA Venlo, The Netherlands. 4. Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany.
Abstract
Surfactants have been widely studied and used in controlling droplet evaporation. In this work, we observe and study the crystallization of sodium dodecyl sulfate (SDS) within an evaporating glycerol-water mixture droplet. The crystallization is induced by the preferential evaporation of water, which decreases the solubility of SDS in the mixture. As a consequence, the crystals shield the droplet surface and cease the evaporation. The universality of the evaporation characteristics for a range of droplet sizes is revealed by applying a diffusion model, extended by Raoult's law. To describe the nucleation and growth of the crystals, we employ the 2-dimensional crystallization model of Weinberg [J. Non-Cryst. Solids 1991, 134, 116]. The results of this model compare favorably to our experimental results. Our findings may inspire the community to reconsider the role of high concentration of surfactants in a multicomponent evaporation system.
Surfactants have been widely studied and used in controlling droplet evaporation. In this work, we observe and study the crystallization of sodium dodecyl sulfate (SDS) within an evaporating glycerol-water mixture droplet. The crystallization is induced by the preferential evaporation of water, which decreases the solubility of SDS in the mixture. As a consequence, the crystals shield the droplet surface and cease the evaporation. The universality of the evaporation characteristics for a range of droplet sizes is revealed by applying a diffusion model, extended by Raoult's law. To describe the nucleation and growth of the crystals, we employ the 2-dimensional crystallization model of Weinberg [J. Non-Cryst. Solids 1991, 134, 116]. The results of this model compare favorably to our experimental results. Our findings may inspire the community to reconsider the role of high concentration of surfactants in a multicomponent evaporation system.
Surfactants are widely
used to control the evaporation behavior
of sessile droplets on a flat substrate.[1−3] The motivation is driven
by various applications in inkjet printing, surface coating, and patterning,[4,5] which mainly aim to optimize the drying rate and the final deposition.
The biggest challenge for a controlled uniform coating by droplet
evaporation originates from the well-known “coffee-stain effect”.[6] It has been shown that surfactant-induced Marangoni
flow can play an essential role to suppress this effect.[7,8] In these studies, one of the most common ionic surfactants, “sodium
dodecyl sulfate” (SDS),[9−11] is added to the system at small
concentration, typically ≤1 wt %. The surfactants are therefore
considered to be always soluble in the system during most of the evaporation
lifetime. However, in many practical cases, the relevant liquids contain
a high concentration of surfactants; for example, liquid detergents
can contain surfactant ingredients at up to 40 wt %. Such a high loading
of surfactants may lead to undesired effects, such as separation and
crystallization.Sodium dodecyl sulfate (SDS) may crystallize
in liquid solutions
upon cooling[12] or upon seeding with 1-dodecanol.[13] On the other hand, selective evaporation of
some liquid components with larger volatilities can also lead to phase
separation in multicomponent mixtures.[14−16] Consequently, the nonvolatile
surfactant (SDS) is expected to separate from an evaporating liquid
system by crystallization due to the preferential evaporation of volatile
liquids. Therefore, the wide usage of SDS in evaporating droplet systems
deserves a more detailed explanation of the crystallization behavior.In this work, we study a multicomponent droplet system consisting
of a mixture of glycerol, water, and SDS and let it evaporate in ambient
air. SDS is not miscible with pure glycerol, but it does dissolve
in glycerol–water mixtures for large enough water concentration
ratios. This behavior qualitatively resembles the ternary “ouzo”
system[17] consisting of water, ethanol,
and anise oil, which nucleates in droplets for low enough ethanol
concentrations. Tan et al.[18,19] triggered this emulsification
threshold by the selective evaporation of ethanol in an evaporating
ouzo droplet. Similarly, the varying solubility of SDS in glycerol–water
binary systems may also lead to phase separation due to the concentration
change caused by the selective evaporation of water alone. In contrast
to crystallization by cooling,[12,13] here the oversaturation
with SDS and the subsequent nucleation and growth of SDS crystals
are caused by the preferential evaporation of water at room temperature.[20]To better understand the evaporation-induced
crystallization in
the mixture droplet system, two main questions need to be addressed:
how does a surfactant-laden mixture droplet evaporate, and how does
one model the crystallization during the evaporation? In this paper
we want to answer these questions. A typical snapshot of an evaporating
droplet is shown in Figure , where the two life phases can be distinguished: the evaporation
phase and the crystallization phase. The focus of our study is on
the dynamics of the evaporation and the kinetics of crystallization
and not on the microscale crystal morphology.
Figure 2
Experimental
snapshots of the evaporation and drying process of
a typical drop on a flat surface. (A) and (B) show the evaporation
phase of the drop: here, the drop retains a spherical cap shape; no
crystallization occurs. (C) The final state of the drop: because of
the crystallization of SDS in the bulk, the surface of the drop buckles
and no longer remains spherical. The crystallization of the SDS shields
the surface and brings the evaporation process to an end. The scale
bar represents 0.5 mm.
Experimental
Methods
Materials and Preparation
The liquid solution was prepared
with an initial composition of 78% (w/w) Milli-Q water (Reference
A+, Merck Millipore, 25°), 19.6% (w/w) glycerol (Sigma-Aldrich;
purity ≥98%), and 2.4% (w/w) sodium dodecyl sulfate (Sigma-Aldrich,
purity 98%). The initial concentration of SDS is 13CMC (critical micelle
concentration). Experiments were performed on a transparent hydrophobic
octadecyltrichlorosilane (OTS)–glass substrate.[21] The static contact angles of Milli-Q water and
glycerol on the substrate are 105 ± 3° and 90 ± 3°,
respectively. The glycerol–water binary droplet with 50%/50%
(w/w) has a 95° static contact angle. Prior to each experiment,
the samples were cleaned by sonication in an ultrasonic bath of ethanol
and subsequently in water and then dried under a flow of nitrogen
gas.
Experimental Setup
We performed two different experiments
to separately study the evaporation phase and crystallization phase.
To study the evaporation behavior, the droplets were deposited on
the substrate by a Hamilton 2 μL syringe, which was mounted
vertically on a computer-controlled motorized pump, which allowed
the dispensing of droplets of a controlled volume through a needle.
We measured the geometry of the deposited droplet by bright-field
imaging in side view. The whole process was recorded by an OCA 15
(Dataphysics, Germany) contact angle device (Figure a): a CCD camera coupled to a microscope,
which was back-illuminated by a LED light from the opposite side of
the droplet. For the crystallization study, we observed the droplet
in bottom view with a confocal microscope (Figure b). By focusing on the layer close to the
substrate (at a ≈ 10 μm height), the
dynamic growth of the crystals was visualized in a 2-dimensional view.
The experiments were performed at room temperature of 21.4 ±
1 °C and at relative humidity of 50 ± 5%. These parameters
were monitored and recorded for each measurement.
Figure 1
Schematic sketch of the
experimental setups. (a) The contact angle
device contains a CCD camera with a microscope and a LED light source
illuminating the droplet. (b) The droplet is illuminated from above
and recorded by a camera equipped with a 10× microscope objective
underneath. The whole setup is part of a confocal microscope (Nikon
A1 confocal laser microscope system, Nikon Corporation, Tokyo, Japan).
Schematic sketch of the
experimental setups. (a) The contact angle
device contains a CCD camera with a microscope and a LED light source
illuminating the droplet. (b) The droplet is illuminated from above
and recorded by a camera equipped with a 10× microscope objective
underneath. The whole setup is part of a confocal microscope (Nikon
A1 confocal laser microscope system, Nikon Corporation, Tokyo, Japan).
Imaging Analysis
For the side-view
geometrical measurement,
images were analyzed by using a custom-made Matlab code to detect
the droplet profile with subpixel accuracy.[22] The sizes of all droplets are smaller than the capillary length mm for the used liquids,[23] where γ ≈ 70 mN/m and ρ ≈ 103 kg/m3 are the surface tension and density of the
mixture and g = 9.8 m/s2 is the gravitational
acceleration. The detected profile is fitted to a spherical cap during
the evaporation phase, which enables us to calculate the volume V of the droplet with footprint radius R and contact angle θ. As shown in Figure A, the dark blue solid
line is the position of the substrate: the spherical shape above it
is the sessile droplet, the one underneath is its reflection.Experimental
snapshots of the evaporation and drying process of
a typical drop on a flat surface. (A) and (B) show the evaporation
phase of the drop: here, the drop retains a spherical cap shape; no
crystallization occurs. (C) The final state of the drop: because of
the crystallization of SDS in the bulk, the surface of the drop buckles
and no longer remains spherical. The crystallization of the SDS shields
the surface and brings the evaporation process to an end. The scale
bar represents 0.5 mm.For the documentation
of the crystallization process from the bottom
view, a manual detection with ImageJ was used to measure the crystallized
area at every time instant; see details in the Supporting Information.
Results and Discussion
Evaporation
Phase
The left column of Figure displays the temporal evolution
of the drop-characterizing geometrical parameters for four droplets
with different initial sizes: volume V (A1), contact
angle θ (B1), and footprint radius R (C1).
From the plots, it is evident that all the droplets evaporate following
the “stick–slide” mode,[24,25] in which the droplet’s footprint radius first remains constant
until it reaches a critical contact angle, and then the contact line
starts to shrink. We only measure the volume until buckling occurs
(as marked by the red circles in Figure A1,C1), and after that the droplet shape
deforms and no regular shape is reestablished, which from then on
renders accurate volume measurement impossible. Figure A shows the average evaporation rate of various
droplets in the first 30 s after deposition with initial volumes ranging
from 0.12 to 2.40 μL. The evaporation rate monotonically increases
with increasing droplet size, apart from fluctuations due to experimental
uncertainties.
Figure 3
(A1, B1, C1) Measured temporal evolution of the geometrical
parameters:
volume V (A1), contact angles θ (B1), and lateral
sizes R (C1). The red dots mark the moments when
buckling occurred. (A2, B2, C2) Same parameters as in experiment,
but now nondimensional and plotted against the scaled time following eq . The data collapse clearly
shows the universality of the drop evaporation process. (A2) The final
volume is controlled by the occurrence of crystallization, rather
than by the liquid–vapor equilibrium relation, which is shown
by the black dashed line predicted by eq .
Figure 4
(A) Initial rate of volume
loss of the drop varies for different
initial volumes. (B) Same data normalized by the initial volume is
plotted against the initial volume. The straight line shows the scaling
relation with slope −2/3, which is predicted by eq , demonstrating good agreement with
the experimental data.
(A1, B1, C1) Measured temporal evolution of the geometrical
parameters:
volume V (A1), contact angles θ (B1), and lateral
sizes R (C1). The red dots mark the moments when
buckling occurred. (A2, B2, C2) Same parameters as in experiment,
but now nondimensional and plotted against the scaled time following eq . The data collapse clearly
shows the universality of the drop evaporation process. (A2) The final
volume is controlled by the occurrence of crystallization, rather
than by the liquid–vapor equilibrium relation, which is shown
by the black dashed line predicted by eq .(A) Initial rate of volume
loss of the drop varies for different
initial volumes. (B) Same data normalized by the initial volume is
plotted against the initial volume. The straight line shows the scaling
relation with slope −2/3, which is predicted by eq , demonstrating good agreement with
the experimental data.
Crystallization Phase
Figure shows the
complete crystallization process
of an evaporating surfactant-laden mixture droplet (see Movie S1). The droplet starts to evaporate at
time t0. At ∼50 s, the first crystals
appear near the contact line (CL) region. After a few more seconds,
several crystals nucleate at the rim. Then they grow and coalesce
to form a larger piece and finally occupy the whole bulk of the droplet. Figure presents a zoomed-in
bottom view of the contact region of another evaporating surfactant-laden
mixture droplet. Initially, the droplet is transparent with a smooth
CL. After evaporating for 280 s, a crystal nucleates near the CL and
floats to the position labeled by the yellow circle. A few seconds
later, more crystals nucleate at the rim, slightly deforming the CL.
The nucleated crystals grow and coalesce with neighboring crystals.
Eventually, the whole droplet is occupied by the crystals, and the
CL deforms and is no longer smooth. Figure A shows the temporal evolution of the transformed
fraction measured in a 2D bottom view for three different droplets. X is the area fraction occupied by crystals, and t is the time which has elapsed after the first crystallization
had been observed. The area fraction X increases
as the growth of crystals at a different rate for each droplet.
Figure 5
Bottom view
of a complete drop lifetime (see Movie S1). (A) The drop evaporates on the substrate with receding
contact line. (B) The first crystal appears near the contact line
region. (C) Several crystals nucleate and grow independently. (D)
Growing crystals coalesce with neighboring ones. (E) The crystals
cover the whole drop and bring the evaporation to an end. (B–E)
The contact line basically remains the same until the final state
of the drop but slightly deforms due to the buckling of the drop surface.
The scale bar represents 50 μm.
Figure 6
Bottom-view
snapshots of the contact region of an evaporating surfactant-binary
drop (see Movie S2). (A) The moment of
deposition of the drop: the drop starts evaporating on the substrate.
(B) A small crystal nucleates (yellow circle), floats, and grows near
the contact line. (C) The crystals heterogeneously nucleate at the
contact line. (D) The nucleated crystals grow and merge with neighboring
crystals. (E) The crystallized SDS fully occupies the drop and eventually
brings the evaporation to an end. The scale bar represents 20 μm.
Figure 7
Measurement of the crystallized area fraction of three
droplets
against time. The analytical results (solid lines) according to eq are also shown. (inset)
The circular regions with areas Δ1 and Δ2 represent the areas where nucleation can or cannot occur
in time t, respectively. The orange region indicates
the area transformed at time t, due to a nucleation
at N. S is an arbitrary point in Δ1 which has distance z from the boundary. Within
time t, it must be transformed due to a nucleus on
the boundary.
Bottom view
of a complete drop lifetime (see Movie S1). (A) The drop evaporates on the substrate with receding
contact line. (B) The first crystal appears near the contact line
region. (C) Several crystals nucleate and grow independently. (D)
Growing crystals coalesce with neighboring ones. (E) The crystals
cover the whole drop and bring the evaporation to an end. (B–E)
The contact line basically remains the same until the final state
of the drop but slightly deforms due to the buckling of the drop surface.
The scale bar represents 50 μm.Bottom-view
snapshots of the contact region of an evaporating surfactant-binary
drop (see Movie S2). (A) The moment of
deposition of the drop: the drop starts evaporating on the substrate.
(B) A small crystal nucleates (yellow circle), floats, and grows near
the contact line. (C) The crystals heterogeneously nucleate at the
contact line. (D) The nucleated crystals grow and merge with neighboring
crystals. (E) The crystallized SDS fully occupies the drop and eventually
brings the evaporation to an end. The scale bar represents 20 μm.Measurement of the crystallized area fraction of three
droplets
against time. The analytical results (solid lines) according to eq are also shown. (inset)
The circular regions with areas Δ1 and Δ2 represent the areas where nucleation can or cannot occur
in time t, respectively. The orange region indicates
the area transformed at time t, due to a nucleation
at N. S is an arbitrary point in Δ1 which has distance z from the boundary. Within
time t, it must be transformed due to a nucleus on
the boundary.
Theoretical Analysis
Theory
of Mixture Droplet Evaporation
We first study
the evaporation characteristics of the surfactant-laden mixture droplet.
In general, for a droplet evaporating on a flat surface under ambient
conditions and in the absence of any correction, the evaporation is
fully controlled by the diffusion of the vapor away from the droplet:[26,27] the liquid molecules change their phase and diffuse as vapor molecules
into the surrounding air. Popov[28] derived
an analytical solution by using the solution of the equivalent problem
of an electric potential around a charged lens-shaped conductor:withwith m the
droplet mass, D the diffusion coefficient of the
droplet liquid vapor in air, cs the saturated
concentration of liquid vapor molecules, and c∞ the ambient concentration of the liquid vapor far
away from the drop.For the evaporation of multicomponent droplets,
we first employ the method suggested by Brenn,[29] namely considering the total evaporation rate of the mixture
droplet as the sum of the evaporation rate of each individual component.
In our surfactant-laden glycerol–water droplet, glycerol and
SDS are nonvolatile under ambient conditions.[30] Therefore, only the diffusive flux of water contributes to the total
evaporation rate. The essential difference between the evaporation
of pure droplets and multicomponent droplets is the vapor–liquid
equilibrium: the nonvolatile component in the system alters the saturated
concentration of water vapor at the interface.[18,31] Raoult’s law[32] is used to calculate
the saturated water vapor concentration of the binary system: cw,s = Xwcw,s0, where Xw is the mole fraction of water
at the interface and cw,s0 is the saturated vapor concentration
of pure water. However, Raoult’s law relies on an idealized
solution and as such ignores any interaction between the components.
To overcome this limitation, the so-called activity coefficient ψ[33] was introduced to describe this interaction.
In our case, it specifically addresses the interaction between water
and the other components: cw,s = ψwXwcw,s0. By using the
water activity coefficient ψw[34] in the modified Raoult’s law, we obtain a theoretical
model to express the evaporation rate for the binary droplet:There is, however, one added
complexity in our system: it is difficult to determine the exact cw,s without knowing the exact mole fraction
of water, glycerol, and SDS molecules. Hence we cannot analytically
predict the evaporation rate for each time instant. To compare different
sets of experimental data, we rescale the measured droplet volume
and time by introducing the nondimensional volume V̂ = V/V0 and time t̂ = t/τc, with V(t) the measured droplet volume and V0 its initial volume. τc is
the characteristic time scale of the diffusive evaporation,[25,35] which can also be read from eq :Figures A2,B2,C2
show that the rescaled experimental data for volume V/V0, contact angle θ, and footprint
radius R/R0 versus the
dimensionless time t/τc follow a
universal curve for all measured droplet sizes. The collapse of all
the curves demonstrates that regardless of the initial size, the droplets
with the same initial composition always follow the same evaporation
behavior, with a universal evolution of all geometrical characteristics.
On the basis of this, we can conclude that the variations of not only
the geometry but also the internal composition concentration and distribution
are universal, independent of the droplet size.We also compare
the initial evaporation rate of different initial
volumes by introducing the dimensionless volume loss rate dV̂/dt = d(V/V0)/dt. According to eq , the dimensionless initial
evaporation rate isOn the basis of the V0–2/3 proportionality
of eq , we rescale the
experimental data of Figure A (see Figure B) and plot them on a double-logarithmic scale. Indeed,
the data follow the scaling law as suggested by eq , confirming our model assumptions.Besides controlling the evaporation rate, the model also yields
the terminal state of the evaporation, which is when the saturated
water vapor concentration equals the environmental concentration, cw,s = cw,∞. Essentially, the evaporation stops when the active mole fraction
of water equals the relative humidity H of the surrounding
air, ψwXw = H. For the same reason as mentioned above, we only compare the experimental
data with the analytical prediction for glycerol–water binary
system, ignoring the mole fraction of the surfactant. From the relative
humidity H measured in experiment, we can calculate
analytically the “theoretical final volume” Vt (see Supporting Information) aswhere Mg = 9.21 × 10–2 kg/mol and Mw = 1.8 × 10–2 kg/mol are the molecular
mass of glycerol and water, respectively, ρg = 1.226
× 103 kg/m3 and ρw = 0.997
× 103 kg/m3 are their liquid densities
at room temperature, and Cg is the initial
mass concentration of glycerol in each measurement. The final volume
of the equilibrium state (dashed line in Figure A2) lies below the final volumes of all the
droplets, which indicates that the shielding of water by the crystallized
interface blocked any further evaporation before the system reached
its equilibrium state.
Theory of 2-Dimensional Finite System Crystallization
As it is well-known, the evaporation rate has a singularity at
the
rim of the droplet, provided the contact angle is smaller than 90°,[6,18] which in our system, where the contact angle ranges from 65°
to 40° during the evaporation process, indeed is the case. The
singularity implies that the water depletes the fastest at the rim,
which locally leads to a higher concentration of glycerol at that
part. It is therefore also expected that crystal nucleation occurs
first near the CL region due to the highest degree of oversaturation
of SDS.To model the crystallization, we employ a 2-dimensional
model which is derived by extending the JMAK formalism[36−40] to a finite 2-dimensional system with nonuniform nucleation. Based
on the spherical shape of the droplet, the footprint area is circular
and the nucleation starts near the contact line. We assume that the
crystallization process occurs within a circular region, and nucleation
is permitted at t = 0 at various points on the perimeter
of the area. Figure B shows the geometry of the two regions Δ1 and Δ2 within a circle with radius R (drop radius):
the Δ2 region is completely free of crystallization,
while Δ1 is partially crystalline. The maximum growth
radius of the crystals is given by Γt, where
Γ is the constant growth rate. Weinberg[41,42] proposed an analytical model to describe the fraction X(t) transformed at time t, namelywhere X1(t) represents
the fraction which has crystallized
in Δ1. It can be expressed as[42]with Φ = (R – z)/R and y = Γt/R. z denotes the distance between an arbitrary
point S in the Δ1 region and the
boundary. P1 is the nucleation probability
per unit length in region
Δ1.We demonstrate that the transformation
rate is more sensitive to
the growth rate Γ rather than to the seeding probability P1, as shown in Supporting Information. Here we set P1 = 1000
μm–1 by assuming a saturated nuclei density.
We test this theory for the three cases in Figure A with droplet footprint radius R1 = 146 μm, R2 = 110
μm, and R3 = 86 μm. By fitting
the theoretical curves to the experimental data, we obtain the growth
rate as the fitting parameter: Quite consistently, the results are
Γ1 = 2.48 μm/s, Γ2 = 2.42
μm/s, and Γ3 = 2.58 μm/s for the three
analyzed cases. From Figure C, we estimate the crystal growth rate in the early crystallization
stage by measuring the increasing rate of crystal size near the contact
line within the yellow circle. We obtain the estimate Γ ≈
25 ± 5 μm/10 s = 2.5 ± 0.5 μm/s, which is comparable
to the values Γ1, Γ2, and Γ3 obtained from our model. Even though we applied a 2D model
to a 3D problem, the theoretical predictions show good agreement with
experimental data: the reason is that our droplet is relatively flat,
with a contact angle of about 40° when crystallization occurs.
Conclusions
In summary, crystallization of sodium dodecyl
sulfate induced by
selective evaporation in a surfactant-laden glycerol–water
mixture droplet is observed during the evaporation process. We studied
experimentally the dynamics of evaporation prior to the occurrence
of crystal nucleation and the kinetics of crystallization, thereafter.
We applied a diffusion model extended by Raoult’s law to describe
the evaporation characteristics and could reveal a universal evaporation
behavior, independent of the size of the droplets. Finally, we applied
a 2-dimensional model building on the JMAK nucleation model to describe
the kinetics of the crystallization. Thanks to the low contact angle,
this model can successfully describe our experimental data on nucleation.Surfactants attract significant attention as their ubiquitous role
in fluid dynamics of either nature or technology.[43] Our findings clearly show an unexpected consequence of
using surfactants in such evaporating systems. This particularly holds
for inkjet printing where surfactants are extensively used. As nearly
all inks contain various components with different volatilities, the
variations of the composition ratio caused by the selective evaporation
of more volatile components may lead to the segregation of surfactants
in the form of liquid phase separation[14] or crystallization. Our study may rise the awareness of using surfactants
with cautions in such multicomponent systems, which normally involves
rich physicochemical processes.[44]Some issues remain open and unexplored. As the temperature can
change the CMC of SDS in glycerol–water mixture,[45] does the crystallization behavior also depend
on the temperature? How to describe the buckling behavior after the
occurrence of crystallization? Another question is on the morphology
of the SDS crystals; e.g., is the crystal structure different from
the one induced upon cooling? Such questions are of great interest
in view of crystal chemistry, and it is worthwhile to further investigate
such crystallization behavior from a microscopic perspective in the
future.
Authors: Matthew T Geballe; A Geoffrey Skillman; Anthony Nicholls; J Peter Guthrie; Peter J Taylor Journal: J Comput Aided Mol Des Date: 2010-05-09 Impact factor: 3.686
Authors: Hanneke Gelderblom; Álvaro G Marín; Hrudya Nair; Arie van Houselt; Leon Lefferts; Jacco H Snoeijer; Detlef Lohse Journal: Phys Rev E Stat Nonlin Soft Matter Phys Date: 2011-02-17