Abstract
We present experiments on molecular density fluctuations in liquid and supercritical (SC) CO2 using small-angle neutron scattering. Thermal density fluctuations in SC-CO2 determine susceptibility and correlation length identifying the Widom line at their maxima. Droplet formation occurs at the gas–liquid line and between 20 and 60 bar above the Widom line, the corresponding borderline identified as the Frenkel line. The droplets start to form spheres of constant radius of ≈ 45 Å and transform into rods and globules at higher pressure. Droplet formation represents a liquid–liquid (polymorphic) phase transition of the same composition but different density, whose difference defines its order parameter. Polymorphism in CO2 is a new observation stimulating interesting discussions on the topics of gas-like to liquid-like transition in SC fluids and polymorphism since CO2 represents a “simple” van der Waals liquid in contrast to water, which is the most widely studied liquid showing polymorphism in its supercooled state.
Similar content being viewed by others
Introduction
Classical thermodynamics regards supercritical fluids (SCFs) as a homogeneous phase, which opens up a pathway to transform a gas phase into the liquid phase without passing any phase transition line1,2. This perception has changed in recent years as demonstrated in the pressure–temperature projection of the phase diagram of CO2 in Fig. 1, showing the gas–liquid phase transition line (solid line), the critical point (CP), and the Widom line in the SCF regime above CP3,4,5. The experimental points of the Widom ( ) and Frenkel [ (isotherm), (isobar)] lines were determined from small-angle neutron scattering (SANS) in Ref.6 as well as in this paper. Both lines characterize different kinds of molecular density fluctuations. The Widom line (dashed line) is defined as the position of maximum strength of thermal density fluctuations expressed as susceptibility (i.e. the thermodynamic response function of the compressibility) and of the largest correlation length. Both parameters become infinite at the gas–liquid critical point7,8,9,10. The Frenkel line was originally defined as a dynamic borderline between gas-like and liquid-like phases on the basis of purely diffusive and diffusive plus vibrational molecular motion, respectively11,12. A similar borderline was proposed by Fisher and Widom claiming a “certain rough distinction between gas and liquid” on the basis of the density pair correlation function showing, respectively, a monotonic and oscillatory asymptotic decay13. A one-dimensional model assuming an infinite hard-core repulsion and short-range square-well attraction showed such a borderline, but this model could not be extended to higher dimensions14.
Quite recently, we published SANS data on SC-CO2 determining density fluctuations along the isothermal pathway of 45 °C from 60 to 460 bar, i.e. at T/TC = 1.046 and P/PC from 0.81 to 6.236. We determined the Widom line at 95 bar (P/PC = 1.29) and, surprisingly, found the formation of droplets of about 45 Å radius above 125 bar. i.e. 30 bar above the Widom line. These droplets only differ in number density (n) from the SCF phase, i.e. nD ≠ nF, thereby representing a polymorphic, i.e. liquid–liquid phase transition. We identified the phase boundary of droplet formation with the Frenkel line. In the literature, such structural changes in SCFs are partly identified as the Widom8,10 and Frenkel lines15,16 (see further references in Supplementary Section B3). We report here about SANS experiments on CO2 in an extended temperature and pressure regime from 12 to 66 °C and from 60 to 480 bar; a result are the dots and triangles in Fig. 1 identified as Widom and Frenkel lines, respectively. Our main motivation was to explore droplet formation over a larger area above the gas–liquid as well as the Frenkel phase boundaries. We always determined droplets in their equilibrium state as the dynamics of CO2 is fast due to diffusion and the piston effect near the critical point (critical slowing down)17 (see also Supplementary Fig. B3b in Supplementary Section B). The main results of our experiments are (i) shape and size of the droplets, (ii) estimation of CO2 number density of droplets, as well as (iii) the characteristic of phase transition.
Results
Before presenting the experimental results, we would like to clarify the procedure of data analysis. Figure 2 shows two scattering curves depicted as macroscopic cross-section (\({\text{d}}\Sigma /{\text{d}}\Omega ({\text{Q}})\)) versus the modulus of scattering vector (Q) defined in the text below in Eq. (2). Both curves were measured at two pressures of 100 bar and 350 bar (Widom line PW = 110 bar) at 56 °C, which is, respectively, below and above the Frenkel line [PFr. = (173 ± 10) bar]. Below the Frenkel line, we only measure thermal density fluctuations, which according to the Ornstein–Zernicke (OZ) law (Eq. 2) are described by two parameters, namely \({\text{d}}\Sigma {\text{/d}}\Omega {\text{(Q = 0)}}\) and the correlation length (ξ). \({\text{d}}\Sigma {\text{/d}}\Omega {\text{(Q = 0)}}\) is proportional to the susceptibility S(Q = 0) (Eq. 3), which itself is associated with the compressibility \(\left. {\partial {\text{n}}/\partial {\text{P}}} \right|_{{\text{T,V}}}\) as outlined in Eq. (5). The scattering curve at 350 bar (solid dots) has two contributions: one from thermal density fluctuations (solid line) and the other one from droplets bar (dashed-dotted line). The droplet part of scattering was separated from the total scattering via subtraction of the thermal diffuse part and is indicated by the double arrow and analyzed with Eqs. (6)–(9).
Supplementary Section A presents all the scattering data of thermal density fluctuations together with their analysis on the basis of the corresponding scattering laws of Eqs. (2)–(5). The results are the susceptibility S(0) and correlation length ξ measured below and above CP and depicted as a function of applied pressure. Independent of SANS, S(0) was evaluated on the basis of Eq. (5) from the CO2 number density n(T, P) depicted as a solid line in Supplementary Fig. A2 of Supplementary Section A18. Both susceptibilities are in excellent agreement. In some cases, we had to slightly adjust the temperature of the SANS measurements by a few degrees in order to obtain the same position of the maxima in accordance with the Widom line.
Supplementary Section B shows the SANS data of droplet formation above the gas–liquid line (Supplementary Fig. B1 in Supplementary Section B) and Frenkel line (Supplementary Fig. B3 in Supplementary Section B). All the figures present \({\Delta d}\Sigma {\text{/d}}\Omega {\text{(Q)}}\) (see Fig. 2) together with the fitted curves depicted as solid lines. The droplets are always in their equilibrium state as was tested for several temperatures as shown in Supplementary Fig. B3b of Supplementary Section B and the measurements were performed along the isothermal pathway with ascending and descending pressure. Fit parameters are \({\Delta d}\Sigma {\text{/d}}\Omega {(0)}\) as well as the radius of spheres (Rsp) and cross-section (Rrod) and length (Lrod) of the rods. The scattering patterns were fitted with Eq. (6) together with the corresponding form factor for spheres (Eq. 7), rods (Eq. 8), and in the case of globules with Eq. (9). Supplementary Section C presents all these parameters in Supplementary Tables C1–3.
SANS provides droplets of three different shapes as depicted in the phase diagram of Fig. 1. In the first stage, droplets always form a spherical shape before they transform into rods or globules at higher pressure. The lower part of Fig. 3a shows the radii of the spherical droplets versus pressure. An average < Rsp > = (43 ± 2) Å is determined for all temperatures below ~ 130 bar and up to 300 bar for 56 and 66 °C. At 34.5 and 52 °C, Rsp linearly increases up to ~ 60 Å above 130 bar. It may be interesting to note that spherical droplets which increase linearly and which remain constant in size later form rods and globules, respectively (Fig. 3a).
The lower part of Fig. 3b depicts the radii of the rod cross-section (Fig. 1). An average < Rrod > = (32 ± 2) Å is determined for all temperatures except for 34.5 °C and 52 °C, showing enlarged radii up to ~ 50 Å above 300 bar. The length of the rods (Lrod) could only be determined with large error bars and sometimes even not then if Lrod became too large to fulfill the condition of Lrod < 1/Q for the smallest Q (Supplementary Figs. B1 and B2 and Supplementary Table C2 in Supplementary Sections B and C). However, this deficiency does not affect the determination of Rrod as both parameters (Rrod and Lrod) are decoupled as seen from the corresponding form factor in Eq. (8) [Ref.19 (p 33)]. The lower part of Fig. 3c depicts the radius of gyration Rg of the globules formed at the higher temperatures of 56 and 66 °C and pressure of 350 bar. Rg increases with pressure from about 40 to 49 Å when the pressure increases from 350 to 450 bar. Assuming spherical globules, the Rg corresponds to a radius Rsp between 52 and 63 Å according to \({\text{R}}_{{{\text{sp}}}} \,{ = }\,\sqrt {5/3} \,{\text{R}}_{{\text{g}}}\)[Ref.21 (p 159)].
Figure 3a–c also presents an estimate of the difference of the CO2 number densities of droplet and fluid (Δn) normalized to the number density of the fluid (n0), i.e. \(\Delta{\text{n/n}}_{0}\) as determined with Eq. (1). \(\Delta{\text{n/n}}_{0}\) is determined from the ratio of the second moment Q2 [see Eq. (10) and explanatory
text] divided by \(2\pi^{2} \, \times \,\left( {1 - \Phi } \right)\,\Phi \, \times \,\rho_{{0}}^{{2}} {\text{(P,T)}}\). The parameter ρ0 represents the coherent scattering length density of the fluid evaluated according to \({\text{b}}_{{{\text{CO}}_{{2}} }} {/}\Omega\) (Table 1). The problem is that the droplet volume fraction Φ is unknown. The smallest \(\Delta {\text{n/n}}_{0}\) would be derived for a volume fraction of Φ = 0.5 delivering a maximum value of Φ(1 − Φ) = 0.25. However, we can reliably assume a sufficiently small droplet volume fraction, as the scattering patterns in Supplementary Figs. B1 and B2 of Supplementary Section B were reliably fitted with the corresponding form factors (F(Q)) of spheres and rods in Eqs. (6–8), which means negligible interference effects of scattering from different droplets. Refs.20 (p 71) and 21 (p 172) demonstrate the degree of interference on scattering intensity for hard spheres. A droplet volume fraction of 2% shows a ~ 10% smaller intensity at Q ~ 0 in comparison to the expected value of the form factor. We therefore assume a droplet concentration of Φ ≪ 1, i.e. \(\,\left( {1 - \Phi } \right)\,\, \cong \,1\) and \(\cong \,\Phi \,(\Delta {\text{n/n}}_{{0}} {)}^{{2}} .\)
In order to obtain a reasonable idea of the molecular number densities for droplets and fluid, we evaluated \(\Delta {\text{n/n}}_{0}\) on the basis of Eq. (1) assuming a constant droplet volume fraction. For Φ = 1%, we obtain a \(\Delta {\text{n/n}}_{0}\) in the order of 5% for the spherical and rod-like droplets, whereas between 9 and 8% is obtained for the globules as shown in the upper part of Fig. 3a–c and compiled in Supplementary Tables C1–C3 of Supplementary Section C. A ten times larger Φ of 10% droplet volume fraction would lead to a \({1/}\sqrt {{10}}\) smaller \(\Delta {\text{n/n}}_{0}\) of ~ 1.6% and 2.7% for spheres/rods and globules, respectively. It seems remarkable that \(\Delta {\text{n/n}}_{0}\) shows rather constant values, which might in part be based on the assumption of constant droplet volume fraction. Figure 3d shows as an example the CO2 number densities of droplets and fluid at T = 34.5 °C as a function of pressure. The droplets display an averaged enhanced n(T0, P) of about 5%. The assumed low droplet volume fraction of 1% has no measurable influence on the number density n0 of the fluid.
We now present SANS data along the isobaric pathway of the maximal applied pressure of 480 bar (Fig. 4). Measurements along 100 and 200 bar give results consistent with the corresponding isothermal measurements as shown from the plotted triangles identifying the Frenkel line and shape of the droplets (Fig. 1). The 480 bar isobaric pathway covers an area of phase diagram not covered by earlier experiments. The form factor of rods in Eq. (8) successfully fitted all scattering patterns in the upper and lower part of Fig. 4a, as seen from the coincidence of the fitted lines and corresponding scattering data. Figure 4b depicts the parameters of the fits delivering a constant cross-section of Rrod = (30.4 ± 0.3) Å and a linearly increasing length of the rods and scattering intensity with temperature at Q = 0.
Conclusion
The observation of droplets of different shapes in the liquid and supercritical state of CO2 is the essential result of the present work. The droplet formation represents a liquid–liquid or polymorphic transition of phases of the same composition but with slightly different number density. Such phase transition in disordered one-component liquids and glasses is uncommon. Molecular density is the order parameter and driving force of polymorphic phase transition in contrast to the chemical potential in multicomponent systems as reviewed for several liquids and glasses22,23,24,25. Polymorphic transition has been extensively explored in supercooled liquids, whose most prominent example is water since Stanley’s group showed evidence of two distinct liquid phases and a second critical point on the basis of molecular dynamic (MD) simulation26,27. To our knowledge, the underlying basic mechanism of polymorphic phase transition is not yet understood. In Supplementary Section B4 we give further examples from literature such as about the polymorphism of phosphorous, which is accompanied by a reversible structural change of the phosphorous molecules28; such a structural change of CO2 is not known to us in the studied pressure and temperature range.
Our SANS data on polymorphism in liquid and supercritical CO2 yield less complex results. The phase boundaries of the liquid–gas and Frenkel lines show no distinction with respect to polymorphism. In a first step, spherical droplets of dilute concentration, constant radius and increasing \({\Delta d}\Sigma {\text{/d}}\Omega {(0)}\) with pressure are formed (Fig. 3a and Supplementary Figs. B1–B3 in Supplementary Section B), which in a second step transform into droplets of rod-like shape and globular morphology at increasing pressure. Spherical droplets show no coarsening below ~ 130 bar (Fig. 3a) and the cross-section of the rod-like droplets below ~ 300 bar (Fig. 3b) only shows increasing length Lrod with pressure (Fig. 4b and Supplementary Figs. B1, B2 in Supplementary Section B). There is no indication of droplet nucleation and coarsening nor of spinodal decomposition indicating an unstable regime and a second critical point29. Small surface tension in supercritical fluids particularly near the critical point might explain the absent of droplet coarsening1. On the other hand, we expected formation of rods instead of spheres at the lower pressure fields just above the gas–liquid, critical point, and Frenkel line. We cannot exclude percolation in the high-pressure regime of rods, when Lrod becomes too large to be determined with SANS (Supplementary Fig. B2d, Supplementary Table C2 in Supplementary Sections B and C).
The phase diagram in Fig. 1 shows the transformation of rods to spheres with declining pressure or increasing temperature. The Plateau-Rayleigh instability criterion for systems displaying a large ratio of surface to volume might explain this transformation process [Ref.30 (Section IV. A)]. Rods of large length become unstable for fluctuations along the cylinder axis with wavelengths larger than the circumference of the rod, i.e. λrod > 2π Rrod. Sinusoidal undulations of the surface reduce the free energy and eventually result in a series of droplets. The Rayleigh mode, λR = 9.01 Rrod (xR = (2π/λR) Rrod = 0.697), is the fastest growing mode and dominates the undulation31. The breakup of the rods occurs with the “third of the principle frequency of the Rayleigh mode” and delivers λR = 6 Rsp and therefore Rsp/Rrod = 1.5 [Ref.32 (p 427)]. The Plateau-Rayleigh instability has many technical applications. An example in Fig. 5 has some similarity to our experiments showing the transformation of polyamide fibers to near-spherical particles at high temperature. Our experiments indicate a ratio of the radii of spherical and rod cross-section droplets in the range of < Rsp > / < Rrod > = (1.34 ± 0.11) (Fig. 3a, b, Supplementary Table C2 in Supplementary Section C), which we interpret as the stability condition for rods.
From the outline above, it might be not surprising to read in a recent article34 that on the basis of thermodynamic and structural properties a “unique and sharp separatrix” which distinguishes liquid-like and gas-like phases is “not supported” in supercritical water and other SC fluids. “Percolation may be only relevant in water due to H-bond network clustering”. These statements are supported by determinations of the Frenkel line of SC-CO2 on the basis of MD simulations in Refs.12,35,36 providing different results and thus being inconsistent with the findings presented in Ref.6 (Fig. 1). The same is true of the percolation line predicted by Skvor et al. correlating “simple SC Lennard–Jones (LJ) and square-well (SW) fluids with the maximum of isothermal compressibility”37, which, however, is attributed to the Widom line as shown in Supplementary Section A. The conclusion of Ref.34 is consistent with the results of the present article, namely that the Frenkel line represents the borderline of the polymorphic phase transition. This observation may provide a new basis for a discussion of the Frenkel line in SCFs.
Methods
Experimental equipment
The SANS experiments were performed at KWS 1 operated by JCNS at MLZ (FRM II) in Garching at a sample-to-detector distance of 1.70 m and a few experiments were performed at 7.70 and 20 m in order to achieve smaller scattering angles38. The neutron wavelength was 5 Å with a distribution of Δλ/λ = 10%. We designed the pressure cell especially for the SANS experiments. Two sapphire windows of 4 cm in diameter were used for the neutrons to pass through and 0.4 cm thickness for the gas. This cell allows pressures of up to 500 bar. Temperature and pressure show an estimated absolute error of ± 1 K and ± 2 bar. The SANS data were corrected for background scattering and detector efficiency and were calibrated in absolute units using a secondary standard.
Carbon dioxide (type 5.3) of purity better than 99.9993% was purchased from Linde AG (Munich, Germany). Relevant parameters of CO2 for the neutron scattering experiments are compiled in Table 1. The co-volume of CO2 molecules is related to the van der Waals parameter b and is approximately four times larger than the molecular volume Ω [Ref.39 (Chapter 10.3)]. The coherent scattering length was determined from the corresponding values of carbon and oxygen given in Ref.40 according to \({\text{b}}_{{{\text{CO}}_{{2}} }} \,{ = }\,{\text{b}}_{{\text{C}}} \,{ + }\,{\text{2b}}_{{\text{O}}}\). The incoherent scattering, dΣ/dΩinc, is negligible (Table 1). We furthermore subtracted inelastic scattering from the experimental dΣ/dΩ(Q) as necessary for liquids, which will be discussed in the next section. In our earlier study of SC-CO2 at 45 °C, we neglected this correction thereby indicating a larger n(P) beyond the Frenkel line6.
Theoretical background of scattering laws
Thermal density fluctuations in fluids such as SC-CO2 give rise to neutron scattering as described by the Ornstein–Zernike (OZ) law in Eq. (2).
The differential macroscopic cross-section, \({\text{d}}\Sigma {\text{/d}}\Omega {\text{(Q)}}\), represents the scattered intensity per unit volume in units of cm−1. In the case of isotropic scattering as in the present experiment, \({\text{d}}\Sigma {\text{/d}}\Omega {\text{(Q)}}\) is a function of the modulus of the scattering vector \(Q\) determined as \(\left| Q \right|\,{ = }\,\left( {4\pi /\lambda } \right)\,\sin \left( {\delta /2} \right)\) from the neutron wavelength (λ) and the scattering angle (δ). The OZ law is determined by two parameters, namely, \({\text{d}}\Sigma {\text{/d}}\Omega {\text{(Q)}}\) and the correlation length ξ of the thermal fluctuations. Fluids show quasielastic scattering and no elastic scattering is observed as in crystals with their fixed atomic positions. The CO2 fluid obeys the class of simple liquids dominated by coherent scattering (see Table 1). Coherent scattering is expressed by the structure factor S(Q), which gives information about the relative positions of the molecules in the liquid. S(Q) is determined by integrating the scattering function S(Q,ω) over the change neutron energy \(\hbar \omega\), i.e. \({\text{S}} (Q)\, = \,\int_{ - \infty }^{\infty } {S(Q,\omega )d\left( {\hbar \omega } \right)}\). Experimentally, however, the macroscopic cross-section \({\text{d}}\Sigma {\text{/d}}\Omega {\text{(Q)}}\) is determined in units of cm−1 representing integration over the neutron energies scattered at constant scattering angles thereby representing the static approximation [Ref.41 (Sect. 4.8)]. The relationship of \({\text{d}}\Sigma {\text{/d}}\Omega {\text{(Q)}}\) and S(Q) in Eq. (3) contains the correction term fp(Q) introduced by Placzek as discussed in Refs.41 (Eq. 5.39) and 42 (Eq. 6) and expressed in Eq. (4). The parameters are neutron (m) and molecular
mass (M), yielding a ratio of m/(2 M) = 0.0115, neutron energy (E) for 5 Å yielding a ratio of kBT/E = 9.03 for 70 °C, and (Q/k)2 = 6.3 × 10–3 determined from the module Q of the scattering vector and neutron wavelength λ = 5 Å (k = 2π/λ = 1.26 Å-1). For T = 70 °C, fP(Q) = 0.104 is evaluated with a negligible maximal correction of 4 × 10–4, which becomes 0.086 in the case of 10 °C, which is about the temperature interval of our experiments. The contrast factor \({\text{K}}\,= \,{\text{n(P)}}\, \times \,\left[ {{\text{b}}_{{{\text{CO}}_{{2}} }} } \right]^{{2}}\) describing the interaction of neutrons and atoms of CO2 is determined from the number density n(P) and coherent scattering length of the CO2 molecule (Table 1 and Ref.40).
The present experiment was mainly performed at constant volume (V) and temperature (T). This means that S(Q) results from fluctuations of the number density n(T, P) of CO2 molecules as shown in Eq. (5) for the relationship between S(Q = 0) and \(\,\partial {\text{n/}}\partial {\text{P}}\left| {_{{\text{T,V}}} } \right.\,\) representing the fluctuation dissipation theorem as outlined in Ref.39 (p’s 103 and 337) and in Ref.41 (p 89). S(Q = 0) represents
a susceptibility which for molecular gases and fluids is determined by the mean square deviation of molecular number N as well as the product of the Boltzmann constant (kB), absolute temperature (T) and the first derivative of the number density n(P) (= < N > /V) with respect to pressure. This means that S(0) can be evaluated on the basis of the number density n(T, P) at constant T known from the equation of state determination such as found in Ref.18.
Beyond the Frenkel line, we observe the formation of larger scattering units which were identified as droplets6 and analyzed according to Eq. (6) as the product of the scattering at Q = 0, \({\text{d}}\Sigma {\text{/d}}\Omega {(0)}\), and the form factor F(Q) of spheres of radius Rsp and randomly oriented rods of
length Lrod and radius of cross-section Rrod as expressed in Eqs. (7) and (8), respectively19.
Another scattering law is formulated in Eq. (9) as a combination of Guinier’s and Porod’s laws
representing a convenient form to analyze unspecific scattering patterns over a large Q regime43. The parameter Rsp represents the radius of the spherical droplet, u = RgQ the product of Q and the radius of gyration Rg, \({\text{d}}\Sigma {\text{/d}}\Omega {(0)}\,{ = }\,\Phi \,{\text{V}}_{{\text{D}}} \,\Delta \rho^{{2}}\), and \({\text{P}}_{4} \,{ = }\,2\pi \,S_{{\text{D}}} \,\Delta \rho^{{2}}\) the scattering at Q = 0 and the Porod constant in the case of a smooth particle surface, respectively19. Both parameters determine the droplet volume fraction (Φ), volume (VD) and total surface (SD) per unit volume. The scattering contrast (\(\Delta \rho^{2}\)) is determined from the difference in the coherent scattering length densities of the droplet (D) and SCF (F), i.e. \(\Delta \rho \,{ = }\,\left[ {{\rho }_{{\text{D}}} \, - {\rho }_{{\text{F}}} } \right]\)40. For CO2, \(\rho_{{\text{D,F}}} \, = \,\,{\text{n}}_{{\text{D,F}}} \, \times \,{\text{b}}_{{{\text{co}}_{{2}} }}\) [nD,F is the number density of CO2 in droplet (D) and fluid (F) phase] and therefore the simplified expression \(\Delta \rho \, = \,\rho_{{\text{F}}} \,\left[ {\Delta {\text{n/n}}_{{\text{F}}} } \right]\,{ = }\,{\text{b}}_{{{\text{CO}}_{{2}} }} \,\Delta {\text{n}}\) is obtained.
Information about the droplet volume fraction (Φ) and the difference in the molecular number density of droplet (nD) and fluid (nF), i.e. Δn, is obtained from the second moment of ΔdΣ/dΩ(Q), i.e. \({\text{Q2 } = \text{ }}\int {{\text{Q}}^{{2}} \Delta {\text{d}}\Sigma {\text{/d}}\Omega {\text{(Q)}}} \,{\text{dQ}}\), which according to Eq. (10) is related to the product of the droplet
volume fraction (Φ) and Δn2, i.e. \({\text{Q2}}\,{/}\,\left( {{\text{2}\pi}^{{2}} \,{\text{b}}_{{{\text{CO}}_{{2}} }}^{{2}} } \right)\, = \,\Phi (1 - \Phi )\,\Delta {\text{n}}^{{2}} \, \cong \,\,\Phi \,\Delta {\text{n}}^{{2}}\). The same result is derived from \({\text{d}}\Sigma {\text{/d}}\Omega {(0)}\,{/}\left( {{\text{b}}_{{{\text{CO}}_{{2}} }}^{{2}} \times {\text{V}}_{{\text{D}}} } \right)\,{ = }\,\,\Phi \,\Delta {\text{n}}^{{2}}\) or \({\text{d}}\Sigma {\text{/d}}\Omega {(0)}\,{/}\left( {{\text{b}}_{{{\text{CO}}_{{2}} }}^{{2}} \times {\text{V}}_{D}^{2} } \right)\,{ = }\,\,n_{D} \,\Delta {\text{n}}^{{2}}\) yielding the droplet number density (nD). The linear dependence of nD or Φ arises from the incoherent superposition of scattering from the droplets of dilute concentration and \(\Delta {\text{n}}^{{2}}\) from the scattering contrast.
References
Levelt Sengers, J.M.H. In Supercritical Fluids: Their Properties and Applications in: Supercritical Fluids—Fundamentals and Applications (eds. Kiran, E. et al.) 1–29 (Kluwer Academic Publishers, Berlin, 2000).
Arai, Y. et al. (eds) Supercritical Fluids—Molecular Interactions, Physical Properties, and New Applications (Springer, Berlin, 2002).
Imre, A., Ramboz, C., Kraska, T. & Deiters, U. K. Anomalous fluid properties of carbon dioxide in the supercritical region: Application to geological CO2 storage and related hazards. Environ. Earth Sci. 73, 4373–4384 (2015).
Goos, E., Riedel, U., Zhao, L. & Blum, L. Phase diagram of CO2 and CO2–N2 gas mixture and their application in compression process. Energy Proc. 4, 3778–3785 (2011).
Span, R. & Wagner, W. A new equation of state for carbon dioxide covering the fluid region from the triple-point temperature to 1100 K at pressure up to 800 MPa. J. Phys. Chem. Ref. Data 25, 1509–1596 (1996).
Pipich, V. & Schwahn, D. Densification of supercritical carbon dioxide (CO2) accompanied by droplet formation when passing the Widom line. Phys. Rev. Lett. 120, 145701 (2018).
Simeoni, G. G. et al. The Widom line as a crossover between liquid-like and gas-like behavior in supercritical fluids. Nat. Phys. 6, 503–507 (2010).
McMillan, P. F. & Stanley, H. E. Going supercritical. Nat. Phys. 6, 479–480 (2010).
Bolmatov, D., Zav’yalov, D., Gao, M. & Zhernenkov, M. Structural evolution of supercritical CO2 across the Frenkel Line. J. Phys. Chem. Lett. 5, 2785–2790 (2014).
Xu, L. et al. Relation between the Widom line and the dynamic crossover in systems with a liquid–liquid phase transition. PNAS 15, 16558–16562 (2005).
Frenkel, J. In Kinetic Theory of Liquids (eds. Fowler, R.H. et al.) 188 (Oxford University Press, New York, 1947).
Yang, C., Brazhkin, V. V., Dove, M. T. & Trachenko, K. Frenkel line and solubility maximum in supercritical fluids. Phys. Rev. E 91, 012112 (2015).
Fisher, M. E. & Widom, B. Decay of correlation in linear systems. J. Chem. Phys. 50, 3756–3772 (1969).
Fisher, M. E. The States of Matter—A Theoretical Perspective: Excursions in the Land of Statistical Physics Ch. 3 (World Scientific Publishing Co., Singapore, 2017).
Gorelli, F., Santoro, M., Scopigni, T., Krisch, M. & Ruacco, G. Liquidlike behavior of supercritical fluids. Phys. Rev. Lett. 97, 245702 (2006).
Bolmatov, D. et al. The Frenkel line: A direct experimental evidence for the new thermodynamic boundary. Sci. Rep. 5, 15850 (2015).
Carlès, P. A brief review of the thermophysical properties of supercritical fluids. J. Supercrit. Fluids 53, 2–11 (2010).
Lemmon, E.W., McLinden, M.O. & Friend, D.G. Thermophysical properties of fluid systems. In NIST Chemistry WebBook, NIST Standard Reference Database Number 69 (eds. Linstrom P.J. & Mallard W.G.) 20899 (National Institute of Standards and Technology, Gaithersburg, 2019) https://doi.org/10.18434/T4D303.
Porod, G. In General Theory: Small angle X-ray scattering (eds. Glatter, O. & Kratky, O) 2 (Academic Press, London 1982).
Guinier, A. X-Ray Diffraction (W.H. Freeman and Company, New York, 1963).
Roe, R. J. Methods of X-Ray and Neutron Scattering in Polymer Science (University Press, Oxford, 2000).
Stanley, H. E. (ed.) Liquid Polymorphism, Advances in Chemical Physics Vol. 152 (Wiley, New Jersey, 2013).
Poole, P. H., Grande, T., Angell, C. A. & McMillan, P. F. Polymorphic phase transitions in liquids and glasses. Science 275, 322–323 (1997).
McMillan, P. F. Polyamorphic transformations in liquids and glasses. J. Mater. Chem. 14, 1506–1512 (2004).
McMillan, P. F. et al. Polyamorphism and liquid–liquid phase transitions: Challenges for experiment and theory. J. Phys. Condens. Matter 19, 415101 (2007).
Poole, P. H., Sciortino, F., Essmann, U. & Stanley, H. E. Phase behavior of metastable water. Nature 360, 324–328 (1992).
Buldyrev, S. V. et al. Models for a liquid–liquid phase transition. Phys. A 304, 23–42 (2002).
Katayama, Y. et al. Macroscopic separation of dense fluid phase and liquid phase of phosphorus. Science 306, 848–851 (2004).
Müller, G., Schwahn, D., Eckerlebe, H., Rieger, J. & Springer, T. Effect of the Onsager coefficient and internal relaxation modes on spinodal decomposition in the high molecular isotopic blend polystyrene/deutero-polystyrene studied with small-angle neutron scattering. J. Chem. Phys. 104, 5326–5337 (1996).
Eggers, J. Nonlinear dynamics and breakup of free-surface flows. Rev. Mod. Phys. 69, 865–930 (1997).
Rayleigh, L. On the instability of a cylinder of viscous liquid under capillary force. Philos. Mag. 34, 145–154 (1892).
Onuki, A. Phase Transition Dynamics (Cambridge University Press, Cambridge, 2002).
Zhou, Y. et al. Preparation of near-spherical PA12 particles for selective laser sintering via Plateau-Rayleigh instability of molten fibers. Mater. Des. 190, 108578 (2020).
Schienbein, P. & Marx, D. Investigation concerning the uniqueness of separatrix lines separating liquidlike from gaslike regimes deep in the supercritical phase of water with a focus on Widom line concepts. Phys. Rev. E 98, 022104 (2018).
Brazhkin, V. V. et al. The Frenkel line and supercritical technologies. Russ. J. Phys. Chem. B 8, 1087–1094 (2014).
Fomin, Yu. D., Ryzhov, V. N., Tsiok, E. N. & Brazhkin, V. V. Thermodynamic properties of supercritical carbon dioxide: Widom and Frenkel lines. Phys. Rev. E 91, 022111 (2015).
Skvor, J. & Nezbeda, I. Percolation line and response functions in simple supercritical fluids. J. Mol. Phys. 109, 1–11 (2010).
Feoktystov, A. V. et al. KWS-1 high-resolution small-angle neutron scattering instrument at JCNS: Current state. J. Appl. Cryst. 48, 61–70 (2015).
Pathria, R. K. & Beale, P. D. Statistical Mechanics 3rd edn. (Elsevier, Amsterdam, 2011).
Sears, V. F. Neutron News 3, 26–37 (1992).
Squires, G. L. Introduction to the Theory of Thermal Neutron Scattering (Cambridge University Press, Cambridge, 1978).
Dahlborg, U. & Kunsch, B. On the Placzek correction for simple liquids and gases. Phys. Chem. Liq. 12, 237–254 (1983).
Beaucage, G. Approximations leading to a unified exponential power-law approach to small-angle scattering. J. Appl. Cryst. 28, 717–728 (1995).
Acknowledgements
D.S. would like to thank Prof. Dr. Winfried Petry (TUM Emeritus of Excellence) and Prof. Dr. Stephan Förster from Forschungszentrum Jülich for their support and hospitality, respectively. The experiments in this work were performed at the KWS1 instrument operated by JCNS at the Heinz Maier-Leibnitz Zentrum (MLZ) Garching (Germany).
Author information
Authors and Affiliations
Contributions
V.P. and D.S. contributed equally. V.P. contributed more on the experimental side, whereas D.S. more to the interpretation of the results and writing of the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Pipich, V., Schwahn, D. Polymorphic phase transition in liquid and supercritical carbon dioxide. Sci Rep 10, 11861 (2020). https://doi.org/10.1038/s41598-020-68451-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-020-68451-y
This article is cited by
-
Pore-scale flow simulation of supercritical CO2 and oil flow for simultaneous CO2 geo-sequestration and enhanced oil recovery
Environmental Science and Pollution Research (2022)
-
Quasi-equilibrium phase coexistence in single component supercritical fluids
Nature Communications (2021)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.