A thermodynamic study of aqueous acetonitrile: excess chemical potentials, partial molar enthalpies, entropies and volumes, and fluctuations

2000 ◽  
Vol 78 (12) ◽  
pp. 1553-1560 ◽  
Author(s):  
Penka V Nikolova ◽  
Sheldon JB Duff ◽  
Peter Westh ◽  
Charles A Haynes ◽  
Yasutoshi Kasahara ◽  
...  

We measured vapour pressures of aqueous acetonitrile (abbreviated as ACN) at 6, 20, and 37°C, from which excess chemical potentials of ACN (µ EACN) were calculated. We also determined excess partial molar enthalpies of ACN (H EACN) at 6, 20, 30, 37, and 45°C. From these data, excess partial molar entropies of ACN (S EACN) were calculated at 6, 20, and 37°C. Using density data by Benson's group, excess partial molar volumes of ACN (V EACN) were evaluated. The response function data by the same group were also used to evaluate amplitude and wavelength of mean-square fluctuations in terms of volume, entropy, and cross between volume and entropy. All the above quantities and their dependence on the mol fraction of solute, i.e., the effect of additional solute on the above quantities were used to study the effect of acetonitrile on the molecular organization of H2O. It was found that acetonitrile works as a stronger structure-making solute than methanol. Rather its effect on H2O is about the same as that of propan-1-ol.Key words: aqueous acetonitrile, interaction functions, fluctuations.

Author(s):  
Jorge Álvarez Juliá ◽  
María Del Carmen Grande ◽  
Carmen Raquel Barrero ◽  
Carlos Miguel Marschoff

1999 ◽  
Vol 77 (12) ◽  
pp. 2039-2045 ◽  
Author(s):  
Y Koga

Density, heat capacity, and isentropic compressibility data for aqueous methanol, ethanol, and propan-1-ol by Benson's group were used to evaluate two kinds of fluctuations; mean-square fluctuation densities; and (mean-square) normalized fluctuations, respectively, in volume, entropy, and cross (entropy/volume) effect. The mean-square fluctuation densitiesprovide measures for the amplitude (intensity) of the fluctuation, while the normalized fluctuations contain information regarding the wavelength (extensity) of the fluctuation. Furthermore, their composition derivatives, the partial molar fluctuationsof alcohols were calculated. These quantities signify the effect of additional solute on the respective fluctuations. These data were interpreted in terms of mixing schemes learned earlier in this laboratory by using the data of excess partial molar enthalpy, entropy, and volume, and the respective alcohol-alcohol interaction functions, i.e., the composition derivatives of partial molar quantities. Key words: aqueous methanol, ethanol, and propan-1-ol;fluctuation density; normalized fluctuation; partial molar fluctuations of alcohol.


2000 ◽  
Vol 175 (1-2) ◽  
pp. 35-43 ◽  
Author(s):  
Daniel H.C Chen ◽  
Pui Ming Chu ◽  
Steven Hiroshi Tanaka ◽  
Eric C.H To ◽  
Yoshikata Koga

1969 ◽  
Vol 47 (22) ◽  
pp. 4195-4198 ◽  
Author(s):  
R. L. Benoit ◽  
J. Charbonneau

Molar excess free energies of the systems sulfolane-benzene and sulfolane–dichloromethane have been calculated from static vapor pressure measurements at 30.00 °C. Refractive indices, excess partial molar volumes of mixing, and enthalpies of mixing at infinite dilution of benzene and dichloromethane were also determined.


1984 ◽  
Vol 24 (05) ◽  
pp. 536-544 ◽  
Author(s):  
W.R. Rossen ◽  
J.P. Kohn

Abstract Compression to reservoir pressures can alter microemulsion phase behavior, on which the success of microemulsion-based phase behavior, on which the success of microemulsion-based EOR processes depends. For convenience, however, phase behavior studies usually are conducted at atmospheric pressure. Extrapolating phase behavior data from atmospheric to reservoir pressures requires the volumetric properties of each phase pressures requires the volumetric properties of each phase under compression, including the isothermal compressibility as a function of pressure and composition. Two topics are addressed here. First, compressibility data up to 16 MPa [2,300 psi] are presented for several systems of oil and water with surfactants and proto surfactants and the data are fit to simple models for pressure and composition dependence. The pressure dependence fits the Tait equation in this pressure range; selected high-pressure data indicate how the compressibility deviates at much higher pressures. To within the resolution of the data, the composition dependence is linear in volume-fraction composition; moreover, the effective compressibilities of oil and water in solution appear to be near their pure-component values. More data are needed to verify and determine the exact dependence. Second, a simple compressibility cell is described that allows both rapid determination of compressibility and direct determination of the phase boundary in pressure. Both phase separation and coalescence of distinct phases with increasing pressure was observed in microemulsion systems, although the phase boundaries in pressure for these systems were not mapped out systematically. The effect of dissolved gases such as methane, which can affect microemulsion phase behavior at high pressures, is not addressed here. Introduction The phase behavior of mixtures of oil and water with surfactant is crucial to the analysis and design of microemulsion flooding processes for EOR. Phase behavior governs the local compositions and saturations of the various fluid phases, which, through fractional flow relations, determine microscopic displacement. Moreover, phase behavior influences the fractional flow relations phase behavior influences the fractional flow relations themselves through its influence on interfacial tension, wettability, and fluid properties. The importance of phase behavior to process design has prompted a wide phase behavior to process design has prompted a wide range of laboratory studies of microemulsion phase behavior. However, compression to reservoir pressure distorts phase behavior from that observed in the laboratory. A phase behavior from that observed in the laboratory. A familiar example of the effect of pressure is described by the Clausius-Clapeyron equation for the change in freezing point of a pure liquid. More generally, in multicomponent point of a pure liquid. More generally, in multicomponent mixtures equilibrium conditions derive from the required equality of chemical potentials ...............(1) between phases A and B. Any intensive variable influences phase behavior through its effect on chemical potentials; that of pressure acts through the partial potentials; that of pressure acts through the partial molar volumes: .......(2) where is partial molar volume and p is a fixed reference pressure such as 100 kPa [14.5 psi]. Because for each component the molar volume can differ between phases, a change in pressure can upset the equality of phases, a change in pressure can upset the equality of chemical potentials unless phase compositions change to restore equilibrium. Thus the shift in phase boundaries under compression results from the dependence of chemical potentials on pressure and composition. Phase behavior in microemulsion systems is especially sensitive to intensive variables like temperature and salinity. Recent reports disagree on its sensitivity to pressure. O'Connell and Walker and Good found that pressure significantly altered the phase behavior of pressure significantly altered the phase behavior of microemulsion systems made with several synthetic oils. Nelson, on the other hand, observed a negligible pressure effect on two microemulsion systems, one made with a crude oil and one with a synthetic oil. Evidently the thermodynamic properties that govern the effect of pressure can differ among microemulsion systems. To extrapolate phase behavior from atmospheric to reservoir pressures by using Eq. 2 requires knowledge of volumetric properties of the phases involved; specifically, the partial molar volume, vi, of all components in each phase must be known as functions of pressure and phase must be known as functions of pressure and composition. These may be derived from the partial molar volumes at atmospheric pressure, more easily measured in the laboratory, and a correlation for the compressibility of the mixture as a function of pressure and composition, . An example of the correction of chemical potentials for pressure effects is given in Ref. 18. SPEJ p. 536


2003 ◽  
Vol 81 (2) ◽  
pp. 150-155 ◽  
Author(s):  
Yoshikata Koga ◽  
Peter Westh ◽  
Keiko Nishikawa

In the preceding paper, we reported the values of model-free chemical potentials for aqueous methanol, ethanol, 1-propanol, 2-propanol, 1-butanol, and 1-hexanol at 25°C over the entire compositional region. Using alcohol excess partial molar enthalpies, HEAL, determined earlier in this laboratory (Can. J. Chem. 74, 713 (1996)), we have calculated excess partial molar entropies for the alcohols, SEAL, where AL stands for an alcohol. We then calculated, numerically, the entropic interaction, SEAL–AL = N([Formula: see text]SEAL/[Formula: see text]nAL)p,T,nW, where nAL is the amount of AL, nW is the amount of H2O, and N is the total amount of solution. SEAL–AL signifies the effect of addition of AL upon the entropic situation of existing AL in solution. Using these quantities, the mixing schemes in aqueous alcohols have been studied. The earlier conclusions, which used HEAL and HEAL–AL alone, are confirmed. Furthermore, the order of the relative hydrophobic nature of alcohols is established from the behaviour of SEAL–AL and of HEAL–AL as methanol < ethanol < 2-propanol < 1-propanol. Key Words: aqueous alcohols, excess partial molar entropies, entropic interaction mixing schemes, hydrophobicity ranking.


1990 ◽  
Vol 68 (5) ◽  
pp. 725-727 ◽  
Author(s):  
M. Iqbal ◽  
M. Mateeullah

This work reports partial molar volumes, V0, of eight peptides and three other dipolar ions (glycine, diglycine, triglycine, dl-alanyl-dl-valine, glycyl-dl-alanine, glycyl-dl-leucine, glycyl-tyrosine dihydrate, dl-alanyl-glycyl-glycine, l-valyl-glycyl-glycine, l-lysine-l-aspartate, l-lysine-l-glutamate) in water, calculated from density data obtained at 35 °C. V0 data are interpreted in terms of solute–solvent interactions. In some cases where V0 data at 25 °C were available from the literature, a comparison indicates that partial molar volumes of these solutes at 35 °C are higher than their respective volumes at 25 °C by about 2–3 cm3 mol−1. Partial molar expansibilities, E0, were also estimated in such cases. Expansibility data appear to show a trend indicating dependence of E0 values on the chain length of the solute molecules. Some plausible modes of solute–solute interactions are also discussed. Keywords: hydration of dipolar ions, partial molar volumes of peptides, solute–solvent interactions, electrostriction, solute–solute interactions.


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