Correlations Involving the Solubility of Gases in Water at 298.15 K and 101325 Pa

Battino, Rubin; Seybold, Paul G.; Campanell, Frank C.

doi:10.1021/je101070h

Cited by 15 publications

(9 citation statements)

References 7 publications

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“…Coming back to the free bulk bubble, and provided that its nucleus is so large that it is not squeezed out immediately by surface tension, also for this growing bubble case Eq. (15) can be integrated, which after transients results in (Epstein and Plesset, 1950) RðtÞ (Battino, Seybold, and Campanell, 2011) and the resulting lifetimes for spherical bubble (droplet) dissolution. HDODA stands for 1,6-hexanedioldiacrylate and MMA for methylmethacrylate.…”

Section: Growing Bubblesmentioning

confidence: 99%

Surface nanobubbles and nanodroplets

2015

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Surface nanobubbles are nanoscopic gaseous domains on immersed substrates which can survive for days. They were first speculated to exist about 20 years ago, based on stepwise features in force curves between two hydrophobic surfaces, eventually leading to the first atomic force microscopy (AFM) image in 2000. While in the early years it was suspected that they may be an artifact caused by AFM, meanwhile their existence has been confirmed with various other methods, including through direct optical observation. Their existence seems to be paradoxical, as a simple classical estimate suggests that they should dissolve in microseconds, due to the large Laplace pressure inside these nanoscopic spherical-capshaped objects. Moreover, their contact angle (on the gas side) is much smaller than one would expect from macroscopic counterparts. This review will not only give an overview on surface nanobubbles, but also on surface nanodroplets, which are nanoscopic droplets (e.g., of oil) on (hydrophobic) substrates immersed in water, as they show similar properties and can easily be confused with surface nanobubbles and as they are produced in a similar way, namely, by a solvent exchange process, leading to local oversaturation of the water with gas or oil, respectively, and thus to nucleation. The review starts with how surface nanobubbles and nanodroplets can be made, how they can be observed (both individually and collectively), and what their properties are. Molecular dynamic simulations and theories to account for the long lifetime of the surface nanobubbles are then reported on. The crucial element contributing to the long lifetime of surface nanobubbles and nanodroplets is pinning of the three-phase contact line at chemical or geometric surface heterogeneities. The dynamical evolution of the surface nanobubbles then follows from the diffusion equation, Laplace's equation, and Henry's law. In particular, one obtains stable surface nanobubbles when the gas influx from the gas-oversaturated water and the outflux due to Laplace pressure balance. This is only possible for small enough surface bubbles. It is therefore the gas or oil oversaturation ζ that determines the contact angle of the surface nanobubble or nanodroplet and not the Young equation. The review also covers the potential technological relevance of surface nanobubbles and nanodroplets, namely, in flotation, in (photo)catalysis and electrolysis, in nanomaterial engineering, for transport in and out of nanofluidic devices, and for plasmonic bubbles, vapor nanobubbles, and energy conversion. Also given is a discussion on surface nanobubbles and nanodroplets in a nutshell, including theoretical predictions resulting from it and future directions. Studying the nucleation, growth, and dissolution dynamics of surface nanobubbles and nanodroplets will shed new light on the problems of contact line pinning and contact angle hysteresis on the submicron scale.

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Section: Growing Bubblesmentioning

confidence: 99%

Surface nanobubbles and nanodroplets

2015

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“…The molar reversible work here (G i ) is identical with that of charging the hard spheres or cavities introduced in step 1 to the required potential. For dilute solution, from SPT, Henry's law constant (K H ) can be written as [5]:…”

Section: Methodsmentioning

confidence: 99%

“…Theoretical and experimental gas solubility studies are helpful in designing and operating industrial plants. Also, performing chemical, biological and environmental studies needs trustworthy information concerning gas solubility and phase equilibrium [1][2][3][4][5]. For instance, reliable gas solubility data can be used to study molecular interactions in solutions.…”

Section: Introductionmentioning

confidence: 99%

The solubility modelling of non-polar gases in polar and non-polar solvent based on scaled particle theory by artificial neural network

Akbari

Modarress

2013

Physics and Chemistry of Liquids

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In this work, the effective parameters of the scaled particle theory (SPT) are used as the input to the artificial neural network (ANN) to calculate as the output, the solubility (mole fraction of gas in liquid phase) of non-polar gases in polar and non-polar solvents at 298.15 K and 101.325 kPa. It has been found that ANN used in this work should has five neurons in the hidden layer to achieve the least error. The results of ANN have been compared with the experimental values. The results of this comparison are quite satisfactory. The average relative deviations of the simulations in training and testing stages have been calculated 0.92% and 0.89%, respectively. Finally, the results of ANN were compared with the results of SPT. According to this comparison, it is clear that SPT as a thermodynamic model predicts the solubility of the studied gases in the solvents with the same accuracy of ANN which is a purely mathematical model.

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“…Available freshwater solubility data of all species from previous studies were collected and compiled. The freshwater solubility data were collected for HCFC-22 (Boggs and Buck Jr, 1958;Hine and Mookerjee, 1975;Wilhelm et al, 1977;Mclinden, 1990;Maaßen, 1995;Reichl, 1995;Zheng et al, 1997;Abraham et al, 2001;Battino et al, 2011;Sander et al, 2011), HCFC-141b (Maaßen, 1995;Abraham et al, 2001;Kutsuna, 2013), HCFC-142b (Mclinden, 1990;Maaßen, 1995;Reichl, 1995;Abraham et al, 2001), HFC-134a (Mclinden, 1990;Maaßen, 1995;Reichl, 1995;Zheng et al, 1997;Abraham et al, 2001), HFC-125 (Alexandre et al, 2000;Battino et al, 2011;Mclinden, 1990;Reichl, 1995;Abraham et al, 2001;HSDB, 2015), HFC-23 (Parmelee, 1953;Hine and Mookerjee, 1975;Wilhelm et al, 1977;Zheng et al, 1997;Abraham et al, 2001;Battino et al, 2011;Sander et al, 2011), PFC-14 (Ashton et al, 1968;Hine and Mookerjee, 1975;Wilhelm et al, 1977;Wen and Muccitelli, 1979;Cosgrove and Walkley, 1981;Smith e...…”

Section: Solubility In Seawatermentioning

confidence: 99%

“…1992; Abraham et al, 2001;Battino et al, 2011;Sander et al, 2011) and PFC-116 (Wen and Muccitelli, 1979;Park et al, 1982;Bonifá cio et al, 2001;Battino et al, 2011). These data for all species were converted to a common solubility unit (Ostwald solubility, L0, in L L -1 ) and fitted with the Clark-Glew-Weiss (CGW) function of temperature to build the freshwater solubility equations (Fig.…”

Section: Solubility In Seawatermentioning

confidence: 99%

Global Annual Mean Atmospheric Histories, Growth Rates and Seawater Solubility Estimations of the Halogenated Compounds HCFC-22, HCFC-141b, HCFC-142b, HFC-134a, HFC-125, HFC-23, PFC-14 and PFC-116

Mühle

Montzka

et al. 2018

Preprint

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Abstract. We present consistent annual mean atmospheric histories and growth rates for the mainly anthropogenic halogenated compounds HCFC-22, HCFC-141b, HCFC-142b, HFC-134a, HFC-125, HFC-23, PFC-14 and PFC-116, all potentially useful oceanic transient tracers (tracers of water transport within the ocean), for the Northern and Southern Hemisphere with the aim of providing input histories for these compounds. Where available we utilize observations of the halogenated compounds made by the Advanced Global Atmospheric Gases Experiment (AGAGE), National Oceanic and Atmospheric Administration (NOAA) and University of East Anglia (UEA). Prior to the direct observational record we estimated the atmospheric history concentrations from other sources such as archived air measurements, firn air measurements and published model calculations. The results show that the atmospheric mole fractions for each species have been increasing since they were initially produced. Recently, their atmospheric growth rates are decreasing for HCFCs (HCFC-22, HCFC-141b and HCFC-142b), increasing for HFCs (HFC-134a, HFC-125, HFC-23), and stable with small fluctuation for PFCs (PFC-14 and PFC-116). The atmospheric histories (source functions) and natural background values show that HCFCs (HCFC-22, HCFC-141b and HCFC-142b) and HFCs (HFC-134a, HFC-125 and HFC-23) have the potential to be oceanic transient tracers for the next few decades only because of the recently imposed bans on production. When the atmospheric histories of the compounds are not monotonically changing, the equilibrium atmospheric concentrations (and ultimately the age associated with that concentration) calculated from their concentration in the ocean are not unique, reducing the potential as transient tracer. Moreover, HFCs have potential to be oceanic transient tracers for a longer period in the future than HCFCs as the growth rates of HFCs are increasing and those of HCFCs are decreasing in the background atmosphere. PFC-14 and PFC-116, however, have the potential to be the tracers for longer period in the future thanks to their extremely long lifetimes, steady atmospheric growth rates and no explicit ban. In this work, we also derive solubility functions for HCFC-22, HCFC-141b, HCFC-142b, HFC-134a, HFC-125, HFC-23, PFC-14 and PFC-116 in seawater to facilitate the use as oceanic transient tracers. These functions are based on the Clark-Glew-Weiss (CGW) water solubility functions fit and salting-out coefficients estimated by the poly-parameter linear free energy relationships (pp-LFERs). Here we also provide three methods of seawater solubility estimation for more compounds.

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Correlations Involving the Solubility of Gases in Water at 298.15 K and 101325 Pa

Cited by 15 publications

References 7 publications

Surface nanobubbles and nanodroplets

Surface nanobubbles and nanodroplets

The solubility modelling of non-polar gases in polar and non-polar solvent based on scaled particle theory by artificial neural network

Global Annual Mean Atmospheric Histories, Growth Rates and Seawater Solubility Estimations of the Halogenated Compounds HCFC-22, HCFC-141b, HCFC-142b, HFC-134a, HFC-125, HFC-23, PFC-14 and PFC-116

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