Journal of Colloid and Interface Science 499 (2017) 202–208 Contents lists available at ScienceDirect Journal of Colloid and Interface Science journal homepage: www.elsevier.com/locate/jcis Regular Article Study on the applicability of dynamic light scattering (DLS) to microemulsions including supercritical carbon dioxide-swollen micelles Shane Patrick Cadogan a,b,1, Christian Joachim Hahn c, Michael Heinrich Rausch a,b, Andreas Paul Fröba a,b,⇑ a Professur für Advanced Optical Technologies – Thermophysical Properties, Department of Chemical and Biological Engineering (CBI), Friedrich-Alexander-Universität Erlangen-Nürnberg, Paul-Gordan-Strabe 6, 91052 Erlangen, Germany b Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander-Universität Erlangen-Nürnberg, Paul-Gordan-Strabe 6, 91052 Erlangen, Germany c Covestro Deutschland AG, 51365 Leverkusen, Germany g r a p h i c a l a b s t r a c t a r t i c l e i n f o Article history: Received 31 January 2017 Revised 28 March 2017 Accepted 28 March 2017 Available online 30 March 2017 Keywords: Droplet size Dynamic light scattering (DLS) Microemulsion Nonionic surfactant Polyester polyol Principle of Supercritical Microemulsion Expansion (POSME) Supercritical carbon dioxide a b s t r a c t The applicability of dynamic light scattering (DLS) for the characterization of the size of supercritical carbon dioxide (sc-CO2)-swollen micelles in a polyester polyol-based multicomponent microemulsion with nonionic surfactant has been thoroughly proved for the first time in this work. Systematic experiments confirming that a hydrodynamic mode is observable in either a homodyne or a heterodyne detection scheme as well as the evaluation of the influence of the laser power applied to the slightly colored microemulsion have ensured an accurate implementation of this technique for a technically relevant system. The correlation times associated with the translational diffusion coefficient of the swollen micelles in a continuous liquid phase were measured for temperatures from (298.15 to 338.15) K at pressures of (90 and 100) bar. While there was no significant effect of pressure, it was found that the translational diffusion coefficient increases with increasing temperature as expected. We postulate this is primarily related to the effect of decreasing viscosity of the continuous phase. An estimation of the hydrodynamic diameter of the sc-CO2-swollen micelles is in good agreement with values for similar systems reported in the literature. For the derivation of absolute sizes for corresponding systems, also dynamic viscosity and refractive index data will be determined simultaneously in a currently developed closed experimental loop. Ó 2017 Elsevier Inc. All rights reserved. ⇑ Corresponding author at: Professur für Advanced Optical Technologies – Thermophysical Properties, Department of Chemical and Biological Engineering (CBI) and Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Paul-Gordan-Strabe 6, D-91052 Erlangen, Germany. E-mail addresses: christian.hahn@covestro.com (C.J. Hahn), michael.rausch@fau.de (M.H. Rausch), andreas.p.froeba@fau.de (A.P. Fröba). 1 Unfortunately, the author deceased before completing the article. http://dx.doi.org/10.1016/j.jcis.2017.03.111 0021-9797/Ó 2017 Elsevier Inc. All rights reserved. S.P. Cadogan et al. / Journal of Colloid and Interface Science 499 (2017) 202–208 Nomenclature Symbols bi D g(2)(s) kB n p q r T k0 g H experimental constants diffusion coefficient, m2 s–1 normalized intensity correlation function Boltzmann constant, J K–1 refractive index pressure, Pa modulus of scattering vector, m1 hydrodynamic radius, m absolute temperature, K wavelength in vacuo, m dynamic viscosity, Pa s scattering angle, rad 1. Introduction The Principle of Supercritical Microemulsion Expansion (POSME) process is an interesting example of a technical application of microemulsion science [1,2]. This process involves the formation of a micellar solution in a hydrophilic solvent (e.g. a polyol) in the presence of a blowing agent such as carbon dioxide (CO2) and a suitable surfactant. The conditions are then adjusted so that the critical pressure and temperature of the blowing agent are exceeded. After a microemulsion has formed in which the micelles are swollen with supercritical blowing agent, the mixture is decompressed, and in the presence of a suitable reactant (e.g. isocyanates), solidified to form a solid foam with gas swollen pores in the size scale of micrometers [1]. The size of micelles swollen with supercritical blowing agent in the microemulsion stage is one of the key governing parameters of the final size distribution of the pores, which in turn governs the insulation properties of the polyurethane foam produced. The main thrust of the work carried out to date on POSME has been on the formulation and phase behavior of these systems, where CO2 is a top candidate among possible blowing agents for future developments [1–7]. For the speedy development and rapid screening of the optimal conditions under which this process should be performed, but also for other processes involving microemulsions formed under supercritical conditions, it is necessary to have an inexpensive yet reliable technique for the determination of the size and size distribution of the pools or droplets of the supercritical component in the microemulsion. In general, the characterization of the size, size distribution, and shape of the dispersed phase in microemulsions is of great importance in their application in technical processes [8–11]. Small angle neutron and small angle X-ray scattering are two commonly implemented methods to study such properties [12–15]; however, such techniques are relatively expensive and require specialist equipment. Transmission electron microscopy applied to shockfrozen samples is another used technique [16–18], and despite exposing the system under investigation to a large, albeit brief, thermal gradient to freeze the microemulsion, yields both the size and shape of the dispersed phase along with information regarding which type of phase is present. A comparison of these techniques can be found in several publications in addition to a technique based on nuclear magnetic resonance (NMR) [19–21]. Dynamic light scattering (DLS) is a rapid and robust method for the determination of the translational particle diffusion coefficient and the size or size distribution of a distinct species dispersed in a continuous phase in a contact-free, routine manner [22–24]. Assuming the diffusing species to be spherical, non-interacting s sC 203 time, s correlation time, s Abbreviations carbon dioxide CO2 DLS dynamic light scattering DPSS diode-pumped solid state FO fiber optics NMR nuclear magnetic resonance PMT photomultiplier tube POSME principle of supercritical microemulsion expansion sc-CO2 supercritical carbon dioxide bodies, the Stokes-Einstein relation can be employed to calculate the hydrodynamic size of the dispersed species [24,25]. DLS has indeed been applied for the characterization of the hydrodynamic radii of water swollen micelles [14,26–30] and oil swollen micelles [31]. In most of these studies as well as in many analytical laboratories, commercial DLS devices are used as off-the-shelf solutions for the characterization of the sizes of, for example, polymers, proteins, and particles [10,32–37]. The direct application of such equipment to systems for which it has not been proven that the experimental boundary conditions and the implemented data evaluation routines yield correct results requires a critical assessment. In context with microemulsions and also emulsions existing at temperatures and pressures related to or close to the supercritical state of one of the components, only a few studies applying DLS for micelle size characterization can be found in the literature [38–42]. All of them were performed at fixed scattering angles without adding well-defined reference light and lack experimental proof that the evaluated light scattering signals are related to a true hydrodynamic mode. The applied data evaluation strategies always assume a homodyne detection scheme where a possible superposition with, e.g., stray light from cell windows is neglected without verification. This is particularly critical when scattering angles distinctly different from 90° are applied [38–40]. Reported validation measurements based on a comparison of the DLS results for solid particle dispersions obtained in newly designed pressure cells with those from a standard measurement cell do not automatically imply that the results received for microemulsions in a next step are reliable [41,42]. Furthermore, lacking comments on the effect of the applied laser power and possible effects of light absorption inducing at least local changes of the thermodynamic state in colored samples [41] raise some doubts on the reliability of the reported results. The present contribution represents, to the best of our knowledge, the first comprehensive study critically evaluating the capability of DLS for providing information on the size of micelles in microemulsions at temperatures and pressures related to the supercritical state of one component. To prove the applicability to technically relevant systems, supercritical CO2 (sc-CO2)swollen micelles in a microemulsion based on a polyester polyol, an industrial grade nonionic surfactant, and several other components were investigated at conditions relevant to the POSME process. The accessible information related to the size of the micelles is given in terms of the reciprocal of the mean lifetime of microscopic fluctuations in the droplet number density, which is directly proportional to the translational diffusion coefficient of the droplets. Based on estimated viscosity and refractive index 204 S.P. Cadogan et al. / Journal of Colloid and Interface Science 499 (2017) 202–208 data for the probed mixtures, a realistic value for the micelle size could be approximated. 3. Experimental 3.1. DLS assembly 2. Method In DLS experiments from the bulk of fluids in macroscopic thermodynamic equilibrium, the dynamics of microscopic fluctuations in pressure, temperature, and concentration are analyzed [22]. In light scattering experiments, these fluctuations are reflected by the temporal modulation of the scattered light intensity. For fluid mixtures consisting of a continuous phase and dispersed particles, droplets, clusters, or macromolecules, the light scattering process caused by these inhomogeneities is dominant in comparison to that associated with fluctuations on the molecular level. The temporal analysis of the scattered light intensity governed by the inhomogeneities gives access to the dynamics of the fluctuations in the number density of the scatterers [44], i.e. particles, droplets, or macromolecules. In a DLS experiment, the dynamics of fluctuations are analyzed by the calculation of the correlation function of the scattered light intensity. In the case of monodisperse and freely diffusing droplets, the general normalized intensity correlation function can be described by g ð2Þ ðsÞ ¼ b0 þ b1 expð2s=sC Þ þ b2 expðs=sC Þ : |fflfflfflfflfflfflfflfflfflfflfflfflffl{zfflfflfflfflfflfflfflfflfflfflfflfflffl} |fflfflfflfflfflfflfflfflfflfflfflffl{zfflfflfflfflfflfflfflfflfflfflfflffl} homodyne term ð1Þ heterodyne term In Eq. (1), the correlation time sC represents the mean lifetime of ! droplet number density fluctuations at a defined wave vector q , while b0, b1, and b2 are experimental constants. The correlation time sC can be related to the translational particle or droplet diffusion coefficient D via 1 sC ¼ ðDq2 Þ ; ð2Þ where q is the modulus of the scattering vector, q¼ 4pn sinðH=2Þ: k0 ð3Þ In Eq. (3), n is the refractive index of the sample fluid, H is the scattering angle formed between the directions of the light transmitted through and scattered from the fluid, and k0 is the wavelength of the incident light in vacuo. From the Stokes-Einstein equation D¼ kB T 6p g r ð4Þ and the measured translational droplet diffusion coefficient D, in principle the hydrodynamic radius r of the droplets can be calculated if the dynamic viscosity of the mixture g is known. In Eq. (4), kB and T are the Boltzmann constant and the absolute temperature, and it is assumed that the diffusing droplets do not interfere. The latter prerequisite holds at sufficiently small number densities of the droplets, which is also necessary for the validity of Eq. (1). For a light scattering experiment, it must be ensured that either b1 = 0 or b2 = 0, cf. Eq. (1), by adjusting the ratio of the intensity of the scattered light to that of light added from other coherent sources, e.g., from a reference laser beam. In a homodyne detection scheme (b2 = 0), in principle only light scattered from the droplets is analyzed, whereas in the case of heterodyne conditions (b1 = 0), the detected signals are dominated by coherent reference light superimposed on the scattered light. In the experiments described in the following section, either homodyne or heterodyne conditions have to be strictly adhered to. The optical configuration of the DLS set-up is illustrated in Fig. 1. A diode-pumped solid state (DPSS) laser (Cobolt Samba, k0 = 532.1 nm, maximum output power 1000 mW) was used as the light source. The laser beam was guided to the cell by mirrors M1 to M5. A half-wave plate (B1) and a polarization beam splitter (C1) were used to control the intensity and polarity of the incident light, which was focused into the sample by a lens (E, f = 500 mm). For measurements performed in a heterodyne detection scheme, coherent reference light was siphoned off from the incident laser beam via a beam splitter (A), guided with the mirrors M6 and M7, and superimposed on the scattered light. An interference filter (D) as well as a half-wave plate (B2) combined with a polarization beam splitter (C2) were used to control the intensity of this reference light. The scattered light was detected by two photomultiplier tubes (PMTs). For experiments in which the scattered light propagated through free space, the aperture required for defining the scattering angle was placed immediately after the cell. For measurements with a single-mode fiber optic (FO) cable, the latter was attached to the PMTs and to the aperture. The signals from the PMTs were fed to a digital single-tau correlator and the calculated pseudo-cross correlation function was analyzed using associated software. The reported expanded uncertainties (k = 2) for the obtained correlation times correspond with the respective double standard deviation related to the fitting procedure. Unless indicated otherwise, all measurements were performed without the addition of reference light and with a scattering angle H of (90 ± 0.2)° (k = 2), adjusted by back-reflection from the sample cell windows. 3.2. Material and sample preparation A sample mixture supplied by Covestro Deutschland AG, Germany, and related to the POSME process was used as a basis for producing microemulsions. This mixture contains 54.3 wt% of polyester polyols, 10.2 wt% of glycerol, 10.2 wt% of tris(2-chloroiso propyl)phosphate as a flame retardant, 0.2 wt% of a catalyst, and 25.1 wt% of nonionic polyoxyethylene-modified polydimethylsiloxane (tradename XIAMETERÒ OFX-5211 from Dow Corning, USA) as a surfactant. Liquid CO2 was purchased from Linde GmbH, Germany, and had a purity of 99.995 vol%. Without further treatment, but taking care not to introduce any particulate matter, approximately 18 mL of the sample mixture was added to a 40 mL high-pressure cell, which is described in detail in Ref. [43]. The cell was then pressurized with CO2 to approximately 80 bar, corresponding to a CO2 mass fraction of about 0.12 in the final mixture. To mix the contents, the cell was manually agitated, where a glass bead layer (glass bead diameter 2.8 mm) with a depth of about 1 cm served to enhance mixing. It should be mentioned that manual agitation was no longer performed after the first mixing procedure. Thus, extended equilibration times of more than 8 h were allowed before performing the DLS measurements after changing temperature and/or pressure. Heating wires were attached to the outer cell wall, which was subsequently surrounded by insulation material. The temperature of the system was measured and controlled through an in-house developed program applying two calibrated Pt-100 X resistance thermometers with an absolute uncertainty (k = 2) of 20 mK. The temperature stability during the measurements was smaller than 5 mK. The pressure of the cell was monitored with a bourdon pressure gauge connected to the cell, where the uncertainty (k = 2) of the reported pressure values was estimated to be 2 bar. The S.P. Cadogan et al. / Journal of Colloid and Interface Science 499 (2017) 202–208 205 Fig. 1. The optical arrangement used in the current study: M1-M7, mirrors; A, beam splitter; B, half-wave plate; C, polarization beam splitter; D, interference filter; E, biconvex lens (f = 500 mm); PMTs, photomultiplier tubes; DPSS laser (k0 = 532.1 nm). The continuous line and the long dashed line show the incident light and the reference light, respectively. The dotted line denotes the detected scattered light. pressure was controlled via a volumetric screw pump connected to the CO2 vessel. It should be mentioned that increasing or decreasing the pressure of the sample volume was performed by adding or removing CO2, i.e. the mixture was subjected to small concentration changes whenever the pressure was changed. Measurements analyzing the temperature dependence from (298 to 338) K were performed at pressures of (90 and 100) bar. A colorless excess phase was always observed in the upper part of the cell during the experiments. The DLS measurements focused on the lower, slightly colored microemulsion phase, where sc-CO2rich droplets were present in the polyol-rich bulk fluid. The formation of the microemulsion can be explained by the characteristics of the nonionic surfactant. It is based on a trisiloxane where the siloxane backbone is very hydrophobic and the polyethylene glycol tail is very hydrophilic. Hydrophobic CO2 is partially dissolved in the polyol, where further CO2 is solubilized by the hydrophobic backbone of the surfactant. As the hydrophilic polyethylene glycol tail of the surfactant dissolves very well in the polyester polyol and the glycerol, a microemulsion can be formed. 4. Results and discussion 4.1. Method validation To confirm any correlation functions obtained were solely due to the presence of sc-CO2-containing droplets in a microemulsion and not caused by particulate contaminants in the provided polyol-based mixtures or micelles of the surfactant formed without CO2, correlation functions were recorded prior to the addition of CO2. As indicated in Fig. S1 in the supporting information, no signals related to hydrodynamic diffusion modes were found. Thus, the single exponentials found in the time domain of interest for all measurements in the microemulsion phase after adding scCO2 could be related to the presence of droplets. In these cases, most of the standard deviations of the correlation times obtained from the correlation functions were smaller than 1%, which indicates a narrow droplet size distribution. The absence of further exponentials in the correlation functions further proves the Fig. 2. The inverse of the correlation time, s1 C , plotted against the modulus of the scattering vector squared, q2. The line denotes a linear regression of the data. Error bars indicate the expanded uncertainty (k = 2) of the inverse fitted correlation times. assumption of approximately monodisperse droplet size. Moreover, possible multiple scattering processes could be excluded because no additional signals in the short-time range could be found. Furthermore, the laser beam did not show any significant diameter expansion when crossing the microemulsion phase. To prove that the light scattering signals evaluated were related to the translational droplet diffusion mode, the adherence to the corresponding working equation, Eq. (2), was verified. For this, the reciprocal of the determined correlation times sC was plotted as a function of the squared moduli of the respective scattering vectors. The modulus of the scattering vector q was varied by adjusting scattering angles between (84 and 96)° using the rotating stage indicated in Fig. 1. Fig. 2 shows the results obtained at T = 314 K and p = 80 bar assuming a constant refractive index, n, of 1.42. This value corresponds to the refractive index of the polyol-based sample mixture without added CO2 at T = 303 K as measured with an Abbe refractometer (Adago NAR-2T). The refractive index of polyols is only a weak function of temperature, which is not expected to contribute significantly to the results obtained. 206 S.P. Cadogan et al. / Journal of Colloid and Interface Science 499 (2017) 202–208 The linear behavior shown in Fig. 2 confirms that a hydrodynamic mode is the origin of the obtained exponentials in the correlation functions. According to Eq. (2), the value of the translational particle diffusion coefficient D is equal to the slope of the line in Fig. 2, and was found to be 5.4 1012 m2 s1. Spurious light from undesired but inevitable sources in the laboratory may prevent obtaining correlation functions related to a purely homodyne detection scheme, in particular when the scattered light is guided to the PMTs in a free space arrangement. Confirmation that the recorded correlation functions were purely homodyne was obtained by comparison with the results from a heterodyne detection scheme in which the scattered light is superimposed with coherent reference light. Such proof is given if the correlation times evaluated according to Eq. (1) for experiments at a given state point with and without added reference light agree. Corresponding experiments were conducted at T = 300 K and p = 91 bar, where the obtained correlation functions are depicted in Fig. 3. The correlation times and thus the mean lifetimes of the droplet number density fluctuations determined from the recorded correlation functions, sC, were found to be (408.54 ± 2.61) ls in the homodyne regime and (411.14 ± 3.28) ls in the heterodyne regime. This agreement within the stated uncertainties demonstrates that the measurements performed without adding defined reference light adhered to homodyne conditions where b1 >> b2, cf. Eq. (1). It is worth mentioning that this state could only be reached by a thorough optical isolation of the signal beam path from the ambience in the laboratory, where no other light sources than the laser and some LCDs from the setup instrumentation were present. To avoid any doubt about the investigated regime, it is recommended to ensure heterodyne conditions by adding coherent reference light with sufficiently high intensity in any kind of DLS experiment. Although this also allows for the analysis of smaller inhomogeneities, it is not common practice when commercial solutions are applied. Users of such instruments, however, should be aware that purely homodyne measurements are not selfevident without taking respective measures. Instead of a free-space experiment in which the scattered light propagates through air to the detectors, optical fibers can also be used to guide the scattered light from the sample cell to the PMTs. For homodyne type experiments, this reduces the effect of spurious light superimposing the scattered light and is realized in most commercially available DLS instruments. A comparison of the results observed in a free-space configuration and with a fiber optic is shown in Fig. 4. Due to the reduction of the aperture size associated with the small diameter of the fiber, the intensity of the scattered light detected by the PMTs was lower for the corresponding measurements, which is the reason for the larger scatter Fig. 4. Comparison between measurements performed using free space (closed circles) and fiber optics (open circles) to guide the scattered light to the PMTs. The results are given with a confidence level of 95% (k = 2). of the correlation data. Nevertheless, the obtained correlation times further confirm measurements performed without a fiber optic and without the addition of reference light correspond to true homodyne measurements. It should be noted, however, that the presence of additional signals from a heterodyne contribution has to be considered towards smaller values of the scattering angle also when fiber optics are used. Thus, the evaluation of the experimental data becomes more complex. To allow for an accurate analysis of the obtained correlation functions, one has to design the experiment to be either homodyne or heterodyne. As the polyol based sample was translucent yet slightly colored, the possibility of thermal lensing and local heating due to absorption of energy from the incident green laser light [24] was investigated. This was accomplished by varying the incident laser power and comparison of the resulting correlation times sC. The power of the incident laser beam was measured with an optical power meter (Newport 842-PE) directly in front of the cell body. As shown in Fig. 5, a relevant effect of the incident laser power on the measured decay time of the droplet number density fluctuations could only be observed for the highest applied incident laser power. Here, the slightly but significantly smaller correlation time may indicate first effects of laser light absorption. Thus, all further experiments were performed with an incident laser power of about 50 mW. Further reduction leads to a decreasing scattered light intensity, resulting in higher uncertainties for the determined correlation times. This is indicated in Fig. 5 by the large error bar for the data point obtained with the lowest incident laser power. 4.2. Droplet diffusion coefficient and estimated droplet size The effect of temperature and pressure on the translational particle diffusion coefficient of droplets in the microemulsion is Fig. 3. Comparison between measurements performed in the homodyne (open circles, left axis) and heterodyne (open squares, right axis) regime. The correlation times given are supplied with a confidence level of 95% (k = 2). Fig. 5. Correlation time sC plotted against the power of the incident laser light Pi. The expanded uncertainties (k = 2) are also shown. S.P. Cadogan et al. / Journal of Colloid and Interface Science 499 (2017) 202–208 Fig. 6. Inverse of the correlation time, s1 C , plotted against temperature T. Error bars, which are only given if they are larger than the symbols, correspond to the expanded uncertainty (k = 2). shown in Fig. 6. Here, the reciprocal of the correlation time of the droplet number density fluctuations is given as a function of temperature. This kind of data representation was chosen because s1 C is directly proportional to the droplet diffusion coefficient. The latter, however, cannot be calculated exactly as the refractive indices of the microemulsions could not be measured within this work. As expected, the correlation times decrease with increasing temperature, indicating that the diffusivity of the sc-CO2-swollen micelles increases with increasing temperature. This is probably related to decreasing dynamic viscosity with increasing temperature. Further analysis of the temperature dependence, however, is not reasonable because also the composition of the sample cell volume changes somewhat between the different temperatures due to the regulation of the pressure by adding or releasing CO2. Furthermore, lacking information on the temperature dependence of the dynamic viscosity of the microemulsion hinders a reliable discussion if the changes in the diffusivity go along with changes in the droplet size. Within the investigated conditions, no clear trend can be found regarding the pressure dependence. Assuming a microemulsion viscosity of 5 mPa s at T = 318 K and p = 100 bar, which in our opinion is a reasonable value given that it has been shown that the absorption of CO2 can drastically reduce the viscosity of polyols [45], we estimate from our measurement results a hydrodynamic sc-CO2-swollen micelle diameter of 17 nm for this specific example. This is in good agreement with literature data for typical droplet diameters in microemulsions involving supercritical fluids in general [38–41,46] and sc-CO2swollen micelles in particular [2,4,6] ranging from (3 up to 30) nm. 5. Conclusions This work has thoroughly proved for the first time that DLS is a suitable method for the droplet size characterization of technically relevant microemulsions where micelles are swollen with a fluid in its supercritical state and the continuous phase is a multicomponent mixture. While other studies performed for similar systems [38–42] simply assume that the evaluated signals are related to a hydrodynamic mode, the evaluated scattering angle dependency of the correlation times determined from the recorded correlation functions demonstrates that the obtained results can be attributed to the translational diffusion of sc-CO2-swollen micelles. Also the validity of a purely homodyne detection scheme was confirmed. This is not self-evident, especially for scattering angles smaller than 90° which were used in some similar investigations [38–40] without testing possible effects from heterodyne contributions due to spurious light. If such precautions are not taken, it is possible that the results obtained are erroneous by up to a factor of 2. 207 While the effect of varying laser power on the obtained results for the slightly colored samples was evaluated and taken into account within the present work, publications which do not include comments on the effects of potential laser heating for, e.g., dyed microemulsion phases [41] raise some doubts regarding the reported results. Local heating of the sample may cause an overestimation of the translational diffusion coefficient at a given temperature and hence an underestimation of the corresponding hydrodynamic radius of the investigated species. All in all, the present contribution shows that an improvident use of commercial DLS solutions may result in erroneous results, whereas a careful test of the capabilities of the method can pave the way to valuable information related to the droplet size of swollen micelles in sophisticated microemulsion systems. For the system investigated here, it was found that the translational diffusion coefficient of the sc-CO2-swollen micelles does not vary significantly at a given temperature for the studied pressures. Its expected increase with increasing temperature at constant pressure can be related to the decreasing viscosity of the continuous phase. An estimated hydrodynamic diameter of the micelles is in good agreement with values reported for similar systems in the literature [2,4,6,38–41,46]. On the basis of the present investigations, our current efforts aim at the precise determination of the absolute size and size distribution of sc-CO2 swollen micelles in POSME-related microemulsions. For this, we focus on the development of a closed experimental loop that allows for the simultaneous measurement of the droplet diffusion coefficient, the refractive index, and the dynamic viscosity for well-defined state points. Acknowledgements This work was supported by and published with the permission of Covestro Deutschland AG. Their support is gratefully appreciated. Furthermore, this work was financially supported by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) by funding the Erlangen Graduate School in Advanced Optical Technologies (SAOT) within the German Excellence Initiative. Appendix A. Supplementary material Supplementary data associated with this article can be found, in the online version, at http://dx.doi.org/10.1016/j.jcis.2017.03.111. References [1] M. Schwan, L.G.A. Kramer, T. Sottmann, R. Strey, Phase behaviour of propaneand scCO2-microemulsions and their prominent role for the recently proposed foaming procedure POSME (Principle of Supercritical Microemulsion Expansion), Phys. Chem. Chem. Phys. 12 (2010) 6247–6252. [2] A. Müller, Y. Pütz, R. Oberhoffer, N. Becker, R. Strey, A. Wiedenmann, T. Sottmann, Kinetics of pressure induced structural changes in super- or nearcritical CO2-microemulsions, Phys. Chem. Chem. Phys. 16 (2014) 18092– 18097. [3] M. Schömer, C. Schüll, H. Frey, Hyperbranched aliphatic polyether polyols, J. Polym. Sci., Part A: Polym. Chem. 51 (2013) 995–1019. [4] Y. Pütz, L. Grassberger, P. Lindner, R. Schweins, R. Strey, T. Sottmann, Unexpected efficiency boosting in CO2-microemulsions: a cyclohexane depletion zone near the fluorinated surfactants evidenced by a systematic SANS contrast variation study, Phys. Chem. Chem. Phys. 17 (2015) 6122–6134. [5] M. Klostermann, R. Strey, T. Sottmann, R. Schweins, P. Lindner, O. Holderer, M. Monkenbusch, D. Richter, Structure and dynamics of balanced supercritical CO2-microemulsions, Soft Matter 8 (2012) 797–807. [6] M. Klostermann, T. Foster, R. Schweins, P. Lindner, O. Glatter, R. Strey, T. Sottmann, Microstructure of supercritical CO2-in-water microemulsions: a systematic contrast variation study, Phys. Chem. Chem. Phys. 13 (2011) 20289–20301. [7] S.R.P. da Rocha, J. Dickson, D. Cho, P.J. Rossky, K.P. Johnston, Stubby surfactants for stabilization of water and CO2 emulsions: trisiloxanes, Langmuir 19 (2003) 3114–3120. [8] J.N. Coupland, D.J. McClements, Droplet size determination in food emulsions: a comparison of ultrasonic and light scattering methods, J. Food Eng. 50 (2001) 117–120. 208 S.P. Cadogan et al. / Journal of Colloid and Interface Science 499 (2017) 202–208 [9] C. Stubenrauch (Ed.), Microemulsions: background, new concepts, applications, perspectives, Wiley-VCH, 2009. [10] J. Chamieh, F. Davanier, V. Jannin, F. Demarne, H. Cottet, Size characterization of commercial micelles and microemulsions by Taylor dispersion analysis, Int. J. Pharm. 492 (2015) 46–54. [11] N. Garti, Microemulsions as microreactors for food applications, Curr. Opin. Colloid Interface Sci. 8 (2003) 197–211. [12] M. Gradzielski, D. Langevin, B. Farago, Experimental investigation of the structure of nonionic microemulsions and their relation to the bending elasticity of the amphiphilic film, Phys. Rev. E 53 (1996) 3900–3919. [13] M. Gradzielski, D. Langevin, T. Sottmann, R. Strey, Droplet microemulsions at the emulsification boundary: The influence of the surfactant structure on the elastic constants of the amphiphilic film, J. Chem. Phys. 106 (1997) 8232– 8238. [14] D.J. Cebula, R.H. Ottewill, J. Ralston, P.N. Pusey, Investigations of microemulsions by light scattering and neutron scattering, J. Chem. Soc., Faraday Trans. 1 (77) (1981) 2585–2612. [15] S. Balakrishnan, N. Javid, H. Weingaertner, R. Winter, Small-angle X-ray scattering and near-infrared vibrational spectroscopy of water confined in aerosol-OT reverse micelles, Chem. Phys. Chem. 9 (2008) 2794–2801. [16] J.F. Bodet, J.R. Bellare, H.T. Davis, L.E. Scriven, W.G. Miller, Fluid microstructure transition from globular to bicontinuous in midrange microemulsion, J. Phys. Chem. 92 (1988) 1898–1902. [17] Y. Talmon, Cryogenic temperature transmission electron microscopy in the study of surfactant systems, in: B.P. Binks (Ed.), Modern characterization methods of surfactant systems, CRC Press, 1999, pp. 147–180. [18] L. Belkoura, R. Strey, Freeze fracture direct imaging (FFDI): a hybrid method in preparing specimen for cryo-TEM, Microsc. Microanal. 9 (2003) 496–497. [19] O. Regev, S. Ezrahi, A. Aserin, N. Garti, E. Wachtel, E.W. Kaler, A. Khan, Y. Talmon, A study of the microstructure of a four-component nonionic microemulsion by cryo-TEM, NMR, SAXS, and SANS, Langmuir 12 (1996) 668–674. [20] M. Gradzielski, Recent developments in the characterisation of microemulsions, Curr. Opin. Colloid Interface Sci. 13 (2008) 263–269. [21] D.P. Acharya, P.G. Hartley, Progress in microemulsion characterization, Curr. Opin. Colloid Interface Sci. 17 (2012) 274–280. [22] B.J. Berne, R. Pecora, Dynamic light scattering: with applications to chemistry, biology, and physics, Dover Publ., 2000. [23] P.A. Hassan, S. Rana, G. Verma, Making sense of Brownian motion: colloid characterization by dynamic light scattering, Langmuir 31 (2014) 3–12. [24] S. Bi, T.M. Koller, M.H. Rausch, P. Wasserscheid, A.P. Fröba, Dynamic viscosity of tetracyanoborate- and tricyanomethanide-based ionic liquids by dynamic light scattering, Ind. Eng. Chem. Res. 54 (2015) 3071–3081. [25] S.P. Cadogan, G.C. Maitland, J.P.M. Trusler, Diffusion coefficients of CO2 and N2 in water at temperatures between 298.15 K and 423.15 K at pressures up to 45 MPa, J. Chem. Eng. Data 59 (2014) 519–525. [26] R.A. Day, B.H. Robinson, J.H.R. Clarke, J.V. Doherty, Characterisation of watercontaining reversed micelles by viscosity and dynamic light scattering methods, J. Chem. Soc., Faraday Trans. 1 (75) (1979) 132–139. [27] M. Zulauf, H.F. Eicke, Inverted micelles and microemulsions in the ternary system H2O/aerosol-OT/isooctane as studied by photon correlation spectroscopy, J. Phys. Chem. 83 (1979) 480–486. [28] D.J. Cebula, L. Harding, R.H. Ottewill, The structure of a microemulsion droplet, Colloid Polym. Sci. 258 (1980) 973–976. [29] J.S. Huang, M.W. Kim, Critical behavior of a microemulsion, Phys. Rev. Lett. 47 (1981) 1462–1465. [30] L.M.M. Nazário, T.A. Hatton, J.P.S.G. Crespo, Nonionic cosurfactants in AOT reversed micelles: effect on percolation, size and solubilization site, Langmuir 12 (1996) 6326–6335. [31] D. Attwood, G. Ktistis, A light scattering study on oil-in-water microemulsions, Int. J. Pharm. 52 (1989) 165–171. [32] S. Paul, A.K. Panda, Combined phase behaviour, dynamic light scattering, viscosity and spectroscopic investigations of a pyridinium-based ionic liquidin-oil microemulsion, RSC Adv. 4 (2014) 32383–32390. [33] M.F. Khan, M.K. Singh, S. Sen, Measuring size, size distribution, and polydispersity of water-in-oil microemulsion droplets using fluorescence correlation spectroscopy: comparison to dynamic light scattering, J. Phys. Chem. B 120 (2016) 1008–1020. [34] N. Lidich, A. Aserin, N. Garti, Structural characteristics of oil-poor dilutable fish oil omega-3-microemulsions for ophthalmic applications, J. Colloid Interface Sci. 463 (2016) 83–92. [35] A. Mandal, S. Kar, A thermodynamic assessment of micellization for a mixture of sodium dodecyl benzene sulfonate and Tween 80 surfactants for ultralow interfacial tension, Fluid Phase Equilib. 408 (2016) 212–222. [36] X. Wang, H. Chen, Z. Luo, X. Fu, Preparation of starch nanoparticles in water in oil microemulsion system and their drug delivery properties, Carbohydr. Polym. 138 (2016) 192–200. [37] A.R. Ferré-D’Amaré, S.K. Burley, Use of dynamic light scattering to assess crystallizability of macromolecules and macromolecular assemblies, Structure 2 (1994) 357–359. [38] J.P. Blitz, J.L. Fulton, R.D. Smith, Dynamic light scattering measurements of reverse micelle phases in liquid and supercritical ethane, J. Phys. Chem. 92 (1988) 2707–2710. [39] R.D. Smith, J.L. Fulton, J.P. Blitz, J.M. Tingey, Reverse micelles and microemulsions in near-critical and supercritical fluids, J. Phys. Chem. 94 (1990) 781–787. [40] W. Ryoo, S.E. Webber, K.P. Johnston, Water-in-carbon dioxide microemulsions with methylated branched hydrocarbon surfactants, Ind. Eng. Chem. Res. 42 (2003) 6348–6358. [41] M. Sagisaka, M. Hino, J. Oasa, M. Yamamoto, S. Yoda, Y. Takebayashi, T. Furuya, A. Yoshizawa, K. Ochi, K. Otake, Characterization of water/supercritical CO2 microemulsion by UV-visible spectroscopy and dynamic light scattering, J. Oleo Sci. 58 (2009) 75–83. [42] M.Z. Yates, M.L. O’Neill, K.P. Johnston, S. Webber, D.A. Canelas, D.E. Betts, J.M. DeSimone, Emulsion stabilization and flocculation in CO2. 2. dynamic light scattering, Macromolecules 30 (1997) 5060–5067. [43] A. Heller, T.M. Koller, M.H. Rausch, M.S.H. Fleys, A.N.R. Bos, G.P. van der Laan, Z. A. Makrodimitri, I.G. Economou, A.P. Fröba, Simultaneous determination of thermal and mutual diffusivity of binary mixtures of n-octacosane with carbon monoxide, hydrogen, and water by dynamic light scattering, J. Phys. Chem. B 118 (2014) 3981–3990. [44] A. Leipertz, A.P. Fröba, Diffusion measurements in fluids by dynamic light scattering, in: P. Heitjans, J. Kärger (Eds.), Diffusion in Condensed Matter, Springer, 2005, pp. 579–618. [45] N.M.B. Flichy, C.J. Lawrence, S.G. Kazarian, Rheology of poly(propylene glycol) and suspensions of fumed silica in poly(propylene glycol) under high-pressure CO2, Ind. Eng. Chem. Res. 42 (2003) 6310–6319. [46] K.J. Thurecht, D.J.T. Hill, A.K. Whittaker, Investigation of spontaneous microemulsion formation in supercritical carbon dioxide using high-pressure NMR, J. Supercrit. Fluids 38 (2006) 111–118.