Evaluating The Stability of Double Emulsions - A Review of The Measurement Techniques For The Systematic Investigation of Instability Mechanisms
Evaluating The Stability of Double Emulsions - A Review of The Measurement Techniques For The Systematic Investigation of Instability Mechanisms
and interfaces
Review
Evaluating the Stability of Double Emulsions—
A Review of the Measurement Techniques for the
Systematic Investigation of Instability Mechanisms
Nico Leister * and Heike P. Karbstein
Institute of Process Engineering in Life Sciences, Chair of Food Process Engineering, Karlsruhe Institute of
Technology, 76131 Karlsruhe, Germany; heike.karbstein@kit.edu
* Correspondence: nico.leister@kit.edu
Received: 28 October 2019; Accepted: 28 January 2020; Published: 31 January 2020
Abstract: Double emulsions are very promising for various applications in pharmaceutics, cosmetics,
and food. Despite lots of published research, only a few products have successfully been marketed
due to immense stability problems. This review describes approaches on how to characterize the
stability of double emulsions. The measurement methods are used to investigate the influence of
the ingredients or the process on the stability, as well as of the environmental conditions during
storage. The described techniques are applied either to double emulsions themselves or to model
systems. The presented analysis methods are based on microscopy, rheology, light scattering, marker
detection, and differential scanning calorimetry. Many methods for the characterization of double
emulsions focus only on the release of the inner water phase or of a marker encapsulated therein.
Analysis methods for a specific application rarely give information on the actual mechanism, leading
to double emulsion breakage. In contrast, model systems such as simple emulsions, microfluidic
emulsions, or single-drop experiments allow for a systematic investigation of diffusion and coalescence
between the individual phases. They also give information on the order of magnitude in which they
contribute to the failure of the overall system. This review gives an overview of various methods
for the characterization of double emulsion stability, describing the underlying assumptions and
the information gained. With this review, we intend to assist in the development of stable double
emulsion-based products.
1. Introduction
Double emulsions are emulsions within emulsions, i.e., the droplets are emulsions themselves.
The commonly investigated double emulsion morphology is the water-in-oil-in-water (W/O/W) type.
W/O/W emulsions are water-continuous systems, containing oil droplets in which smaller water
droplets are dispersed. As the inner and outer W phases typically differ in their composition,
the abbreviation W1/O/W2 is used, which distinguishes between the inner (W1) and the outer (W2)
aqueous phase.
With such systems, it is possible to produce fat-reduced products, e.g., salad sauces. The commonly
used oil-in-water (O/W) emulsion is replaced by an equivalent W/O/W emulsion with a lower actual
oil content but a similar texture perceived in the mouth [1]. W1/O/W2 emulsions also show great
potential as drug delivery systems for sensitive (bio-)active ingredients. The active ingredients, such
as enzymes, vitamins, or pesticides, are encapsulated within the inner water droplets (W1) and then
released over time or due to a specific trigger, e.g., temperature or pH change [2,3].
The challenge in producing double emulsions is the stabilization of the two different interfaces
throughout further emulsion processing and storage. Additionally, for some applications, it must be
possible to destabilize those interfaces at a certain moment, e.g., for the release of the encapsulated
ingredient.
In contrast to conventional emulsions where one emulsifier is enough, double emulsions require a
minimum of two emulsifiers: a lipophilic emulsifier is necessary to stabilize the inner water droplets,
while a hydrophilic one is used to protect the oil droplets from coalescence [4]. Even though much is
known about which emulsifiers are suitable for conventional O/W and W/O emulsions, this knowledge
cannot be directly transferred to double emulsions. In double emulsions, the individual emulsions
are linked via the same O-phase, meaning that emulsifiers, active ingredients, and water molecules
are able to diffuse from one phase to the other and interact at the interfaces [5]. As a result, double
emulsions are highly susceptible to breakdown during storage or when exposed to environmental
stresses [6].
Several studies are available that focus on the comparison between emulsifier systems and
emulsifying machines on the stability of double emulsions [2]. Commonly used emulsifying machines
in the field of double emulsions are high-pressure homogenizers, rotor-stator-systems, membrane
emulsification, and microfluidics. All of these devices can be employed at varying process conditions.
For a specific system, the production conditions can be adapted to achieve the desired emulsion
properties. The production of double emulsion is usually split into two steps: First, the inner emulsion
is produced, and then the inner emulsion is dispersed in the outer water phase in a second step.
The emulsifying machines and parameters can differ in both steps. Most of the published research
shows that the performance of a double emulsion can be enhanced by adapting the process or
formulation for its desired application [2].
Once produced, double emulsions are subjected to several coalescence and diffusion phenomena
that consequently impact product properties, such as texture or encapsulation performance. Analyses
often show how quickly the texture changes or an encapsulated active substance is lost, but cannot
depict which mechanism (coalescence and/or diffusion) is responsible for it.
In this review, the different measurement techniques for analyzing instability mechanisms are
discussed. Our focus is to show which boundary conditions must be applied for the respective
measuring method, which learnings they offer, and how these can help in the improvement of double
emulsion formulations.
Figure 1b [9]. When different emulsifiers adsorb at an interface, they will interact with each other.
Changes in the stability of the double emulsion are to be expected. The molecular structure of the
emulsifiers and the oil phase influence the distribution of the emulsifiers between the phases.
Furthermore, it is common practice to add osmotic active substances to the inner water phase
in order to balance the capillary pressure between the inner and the outer water phase and prevent
Ostwald ripening. Over time, osmotic active substances can also distribute via diffusion or coalescence,
as shown in Figure 1.
Figure 1. Schematic drawing of the composition of the interfaces in double emulsions. (a) Idealized
distribution: each emulsifier only adsorbs at the interface it prefers, and the osmotic active substance is
dissolved in the inner water phase. (b) Realistic distribution: the emulsifiers will distribute between all
phases and interfaces and interact with each other at the interfaces; the osmotic active substance is
found in both water phases.
emulsion remains. In W1–W2 coalescence, two interfaces of very different curvature and of different
emulsifier composition get into contact. Based solely on the composition, it is therefore very difficult to
predict whether a double emulsion is stable or not.
The reversion of W1–W2 coalescence is called spontaneous emulsification and can occur for
certain emulsifiers [10]. For polyglycerol polyricinoleate (PGPR), one of the most common lipophilic
emulsifiers used in double emulsion formulations, spontaneous emulsification has been reported [11].
The outer water phase is emulsified without mechanical treatment into the oil droplets, which leads
to a small increase of the inner water phase. The encapsulated water volume in the oil, however, is
relatively small and does not change the proportion of internal water. This mechanism can work in
addition to diffusion to achieve an accelerated equalization of the pressure between W1 and W2 phase
change [11,12].
Figure 2. Mass transfer in double emulsions. In the center, the stable emulsion is shown. To the left,
the changes due to diffusion are shown, and to the right, changes through coalescence are depicted.
The scheme in accordance with other authors [7,13].
capillary pressure. To do this, the interfacial tension and droplet size distributions must be known [2].
It is also reported, that Ostwald ripening is reduced by converting W1 droplets into soft solid-like
particles through gelation [2,7,20].
3.1. Microscopy
Optical methods can give an impression of changes in droplet size or filling degree. As the
amount of droplets evaluated within one image is limited, effects are evaluated on a qualitative level.
However, optical methods also give highly detailed information, which allows for an interpretation of
the underlying mechanisms. Figure 3 shows examples of microscopic images. On the left side, highly
filled oil droplets are shown. The oil droplets are deformed by the glass cover slide, which allows for
visualizing the inner water droplets. Black areas in the oil droplets indicate other inner water droplets
out of focus levels. The right picture shows a double emulsion droplet with only a few remaining
inner droplets. In literature studies, microscopy is applied to prove the existence of double emulsion
structures [24], show the qualitative loss of the inner water phase [25,26], visualize increasing droplet
sizes of oil and inner water [17,25,27], make general comparisons of different double emulsions [28–30],
and track the loss of single droplets over time [31].
Figure 3. Examples of optical microscope images of double emulsions. Left: stable double emulsion
droplets, which contain many inner droplets, resulting in dark droplets. Right: most of the inner
droplets are lost due to coalescence or diffusion. Black bar: 20 µm.
Colloids Interfaces 2020, 4, 8 6 of 18
Quantifying effects with microscopy is often challenging. Quantitative size determination requires
a minimum of 2000 droplets, with 9000 being recommended for statistically reliable values [32]. A loss
of internal water droplets is easily recognizable in a microscopic image. However, it is practically
impossible to tell whether diffusion or coalescence was the reason for the loss. In order to be able to
make statements about this, the filled drop must be observed continuously over a long period of time.
Additionally, the deformation of the relatively big oil droplets by the cover slide makes droplet size
determination difficult [33].
Microscopy is also limited to size scales that can be accessed optically. Therefore, only double
emulsions with oil droplets in the size range above a few µm, better a few tens of µm, can be analyzed
by light microscopy. Internal water droplets below one micron can only be detected by the black
coloration of the oil droplets. The accessible size range can slightly be extended downwards by
using fluorescent dyes and confocal laser scanning microscopy (CLSM). This also allows for a precise
differentiation between lipophilic and hydrophilic phases, as shown in Figure 4 [34]. Diffusion was
also observed by CLSM videos [34–37].
Figure 4. Comparison of a light microscope image (a) and a confocal laser scanning microscope (CLSM)
image (b) of the same double emulsion. The contrast in the CLSM image was achieved by the addition
of Nile Red in the oil phase. Figure taken from Bernewitz et al. [34].
NMR spectrum is based on the assumption that drops are spherical. For double emulsions with high
filling degrees and deformed droplets, deviations may occur [45]. NMR on double emulsions is also
limited to W1 droplet sizes with a minimum of 2 µm [46].
Figure 5. Oil droplet size distributions (DSD) of a double emulsion over time. Inner water/oil/outer
water (W1/O/W2) phase composition: W1: aqueous 0.35 wt % NaCl solution; O: canola oil with
polyglycerol polyricinoleate (PGPR); W2: aqueous polyvinyl alcohol solution. Droplet sizes are
measured with static laser diffraction. Droplet growth may have occurred due to coalescence or
osmotic swelling.
3.4. Rheology
The rheological behavior of an emulsion depends on its internal structure. Mostly the viscosity is
measured, which is closely connected to the amount of disperse phase and its DSD [49]. Changes in
viscosity can be linked to changes in the emulsion structure, which is also true for double emulsions [50].
With different models (e.g., the Krieger–Dougherty equation), the viscosity of an emulsion is
described as a function of its disperse phase fraction [51]. For double emulsions, the encapsulation
efficiency can be calculated from the viscosity data [52]. The disperse phase ratio to viscosity relation is
also used to show osmotic swelling [18]. An example for the viscosity effects is shown in Figure 6:
double emulsions were produced with different amounts of hypotonic water encapsulated in the oil
droplets but with otherwise comparable formulation. The high osmotic pressure inside the inner water
Colloids Interfaces 2020, 4, 8 8 of 18
drops leads to swelling of the droplets and to an increase of the disperse phase fraction. The more
water encapsulated at the beginning, the more pronounced is the change of viscosity.
Figure 6. Double emulsions with comparable formulation but different initial W1 fractions. The W1
phase is hypotonic, leading to osmotic swelling of the W1 droplets. The effect of osmotic swelling on
double emulsion viscosity is more pronounced (higher viscosity) when the initial W1 fraction is higher.
W1/O/W2 phase composition: W1: aqueous 0.35 wt % NaCl solution; O: canola oil with PGPR; W2:
aqueous polyvinyl alcohol solution. Left to right: 30%, 50%, and 70% of initial inner water phase.
Figure 7. Relative release of different markers from a double emulsion formulation. W1/O/W2 phase
composition: W1: aqueous 0.35 wt % NaCl solution; O: canola oil with PGPR; W2: aqueous polyvinyl
alcohol solution. The emulsions were prepared with three different shear rates in the second emulsifying
step to achieve different releases.
Colloids Interfaces 2020, 4, 8 9 of 18
The observed differences arise either from different diffusion rates of the marker substances or
from interactions between the marker and the emulsifiers. Markers are transported either as single
molecules or in inverse micelles [43]. It has also been shown that ions, for example, change the
stabilization by PGPR and thus the release of encapsulated substances [55].
To make general statements on stability, a variety of substances should be tested and compared.
Encapsulation efficiency values can usually be compared qualitatively as long as the same marker
substance is used.
Figure 8. Example of a differential scanning calorimetry (DSC) plot for double emulsions. The encapsulation
efficiency can be calculated from the areas under the peaks. The Figure was taken from Schuch et al. [58].
Neumann et al. [60], however, showed the limitations of this measurement technique. If the
emulsion system is not freeze resistant, the measurement itself can lead to a massive loss of the inner
water phase, resulting in incorrect values for encapsulation efficiency. This effect must be excluded
before performing DSC measurements.
Figure 9 shows the results of accelerated creaming in an analytical centrifuge. Different disperse phase
fractions lead to a visible shift in the phase boundary. This allows differences in phase distribution to
be measured quickly and easily.
Figure 9. Double emulsions after centrifugation with an analytic centrifuge, LumiSizer (LUM GmbH,
Berlin). Different amounts of transparent phase show different amounts of outer water phase. W1/O/W2
phases consist of aqueous 0.35 wt % NaCl solution, canola oil with PGPR and of aqueous whey protein
isolate, respectively.
Case (c) allows for the measurement of the effect of emulsifier interactions at the outer interface.
The lipophilic emulsifier has to be dissolved in the oil phase prior to emulsifying it in the W2
phase containing the hydrophilic emulsifier. If the interactions of the two emulsifiers at the
O–W interface destabilize the single emulsion, then there is a change in the O/W droplet size
distribution. Neumann et al. [63] could prove that the corresponding double emulsion will then also be
destabilized. Producing single emulsions is much faster and easier than producing double emulsions.
Changes in droplet size distributions are safer and easier to measure than experiments on double
emulsions. Therefore, this procedure is a quick method for selecting emulsifier systems suitable for
double emulsions.
Figure 11. The same microfluidic double emulsion with two inner water droplets directly after
production (left) and after 5 days (right). W1/O/W2 phases consist of an aqueous 0.35 wt % NaCl
solution, canola oil with PGPR, and of aqueous polyvinyl alcohol solution, respectively. After 5 days,
water droplets are swollen due to osmotic swelling and the oil droplets deform. White bar: 100 µm.
The influence of different emulsifiers is also easy to investigate with this model system. Sanders
et al. [75] observed the influence of the hydrophilic emulsifier on the coalescence of inner droplets
with the outer phase. Microfluidic double emulsions are also often used to investigate osmotic
swelling. The challenge of the capillary pressure distribution resulting from inner droplet being
polydisperse [76] is significantly reduced in microfluidic emulsions, as all droplets are of the same
size [19,77]. The number of analyzed droplets needed for the significant determination of changes is
also reduced by the monodispersity of the droplets. Guan et al. [70] and Hou et al. [14] could deduce
from their experiments that osmotic swelling causes the inner water droplets to be pushed against the
outer interface, inducing W1–W1 coalescence (see Figure 11 on the right). In addition, to elucidate
instability mechanisms, the kinetics of coalescence can also be very precisely determined in an optical
accessible microfluidic device.
Optical accessible microfluidic devices also allow for investigating other interesting effects in
double emulsions: Adams et al. [78] observed the coalescence of inner droplets triggered by increased
temperature. Bahtz et al. [11] described the kinetics of diffusion, including spontaneous emulsification
as a transport mechanism.
different emulsifier concentrations [88] or combinations [9,60] on the coalescence time can be evaluated
provided that droplets of the same size are used. These experiments can be conducted with small effort
on a wide variety of emulsifier combinations and can be used for searching promising emulsifiers. They
can also be used to determine negative interactions between lipophilic and hydrophilic emulsifiers,
as shown by [9,60,76]. Figure 12 shows an exemplary measurement of coalescence times as a function
of the encapsulated substance. Drops with dissolved pectins sediment, through an oil-PGPR solution,
coalesce to an interface stabilized with Lutensol. The time between contact and coalescence was
measured. The values indicate that pectinic acid is easier to encapsulate in a double emulsion than
citrus pectin.
Figure 12. Coalescence time depends on the molecular structure of the encapsulated pectin.
The interfaces are stabilized with Lutensol TO8 (O/W2) and PGPR (W1/O). The mean values of
eight single 2 µL drops measured in succession are given.
Diffusional processes can also be observed via single droplet experiments [76]. In this case,
the volume change of a W1 droplet in a defined distance to another drop or the O/W2 interface is
monitored over time. Figure 13 shows an example of the volume loss of a W1 droplet at a defined
distance from an O/W2 interface. The addition of emulsifiers changes both the interfacial properties
and the osmotic pressure in the outer phase. This results in different shrinkage rates of the W1 droplet.
Figure 13. Shrinkage of a W1 droplet by diffusion. In the outer water phase, different polyvinyl alcohols
(PVA) were added as emulsifiers, changing both the osmotic pressure and the interfacial properties.
The initial drop volume was 2 µL.
Colloids Interfaces 2020, 4, 8 14 of 18
Author Contributions: N.L.: writing—original draft preparation; H.P.K.: writing—review and editing, responsible
for the direction and financing of the research. All authors have read and agreed to the published version of
the manuscript.
Funding: This research was supported by the German Ministry of Economics and Energy (via Arbeitsgemeinschaft
industrieller Forschungsvereinigungen “Otto von Guericke” e.V.) in the scope of project AiF 19443 N in the IGF
program and KF2256808NT4 in the ZIM program. The authors would also like to thank Ulrike van der Schaaf for
proof reading and Richard Bernewitz, Anna Schuch, Susanne Neumann, Gabriela Saavedra, Clara López Colom,
Luzie Geers, Désirée Martin, Jing Shan, Tammy Huberty, Ruqaiya Alnuumani and Goran Vladisavljević for their
contribution to the measurement data published here.
Conflicts of Interest: The authors declare no conflict of interest.
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