



Goal:
Vapor pressure data is presented for two liquids over a given
temperature range and the heat of vaporization and entropy change for
vaporization are determined. Prerequisites: An introductory knowledge of thermodynamic relationships that apply to phase equilibrium systems. Resources you will need: This exercise should be carried out within a software environment that is capable of data manipulation and which can generate a bestfit line for an xy data set. You will also be graphing the data along with the fitted function. Background: One of the simplest equilibrium systems to consider is a pure liquid in contact with its vapor A liquidvapor equilibrium can be established by pouring a liquid inside of a small flask and applying a vacuum to degas the liquid and to evacuate the airspace above the liquid, whereupon the flask is sealed. After sealing the vessel, liquid will continue to vaporize and the pressure of the vapor will correspondingly rise. But as the vapor pressure increases, the opposite process can occur. Namely, gas molecules can condense and reenter the liquid phase. These two competing processes, vaporization and condensation, each occur at their respective rates. And when these rates become equal, the system will exist in a dynamic equilibrium and the vapor pressure will have a constant value. What governs whether the equilibrium lies more toward the liquid phase or the gas phase in a particular system? Temperature is certainly expected to have an impact. As temperature rises, the increased kinetic motion of molecules tends to overcome intermolecular attractions and a greater fraction of the molecules will reside in the vapor phase. Consequently, the vapor pressure of the system is expected to rise with increasing temperature. Thermodynamics provides a framework for describing how vapor pressure depends on temperature. As a starting point, we consider the Clapeyron equation which applies to any type of phase equilibrium
(1)
where p is the pressure and T the absolute temperature of a two phase system, and ΔH_{m} and ΔV_{m} are the molar enthalpy change and molar volume change associated with the phase transition in question. The Clapeyron equation is an exact thermodynamic relationship and its derivation is given in most physical chemistry texts. Written in the form of equation (1), the Clapeyron equation tells us that the slope of a vapor pressure versus temperature plot (or more specifically, a tangent line drawn at some point on this plot) is related to ΔH_{m} and ΔV_{m} for vaporization. Assuming that the volume occupied by one mole of liquid is negligible in comparison to the volume occupied by one mole of vapor, the volume change that accompanies vaporization can be written as
(2)
If we further assume that the volume of one mole of vapor behaves as an ideal gas then
(3)
and equation (1) becomes
(4)
Assuming the molar enthalpy of vaporatization is constant with respect to temperature, equation (4) can be rearranged and integrated,
(5)
yielding the following expression for how the vapor pressure depends upon temperature
(6)
where C is a constant. According to equation (6), a plot of ln p versus 1/T should be linear and the slope is related to the heat of vaporization. An expression that is similar to equation (6) can be obtained by setting the righthandside of the expressions
(7)
and
(8)
equal to one another and rearranging into the form
(9)
In a liquidvapor equilibrium system, the equilibrium constant can be written as
(10)
where a_{vap} is the activity of the vapor, p is the vapor pressure, and p^{θ} is standard pressure (760 mmHg). Substitution into equation (9) gives us
(11)
Just as we saw earlier, the slope of a logarithmic plot of vapor pressure versus 1/T is related to the heat of vaporization. But equation (11) implies that the yintercept of this plot is related to the entropy change for vaporization. In the exercise below, you will analyze vapor pressure data for two liquids, fluorobenzene and benzenethiol, in order to determine ΔH_{vap} and ΔS_{vap} for each. Experimental Data: Click on the following links and save each data set on your computer. Each file consists of two columns of numbers: the values in the first column are temperatures in degrees Celsius and the second column contains the corresponding vapor pressures of the liquid in units of millimeters of mercury (mmHg). The data
were obtained from D.W. Scott, et. al, Journal of the American Chemical
Society, 78,
5457 (1956) and D.W. Scott, et. al, Journal of the American Chemical
Society, 78,
5463 (1956). The authors used a technique called 'comparative
ebulliometry' which involves balancing the vapor pressure of the
unknown liquid at each temperature against the vapor pressure of a
known liquid (water was used as the known) inside of a closed vessel.
Exercise: 1. Inspect the vapor pressures that are listed in each data set and report the normal boiling point of each liquid. Compare these boiling points to appropriate literature values (calculate the percent differences). 2. Import each data set into an appropriate quantitative analysis software environment and manipulate the data into a form so that you can plot each as ln(p/p^{θ}) versus 1/T. In each case, calculate a bestfit line and plot it along with the original data. Is the plot entirely linear (can you detect any curvature in the data)? 3. Using the parameters from your bestfit lines, calculate ΔH_{vap} and ΔS_{vap} for each liquid (report your answers with appropriate units). Compare your answers with literature values (calculate the percent differences). 4. Trouton's rule states that ΔS_{vap} ≈ 88 J K^{1} mol^{1} for a wide range of liquids (as long as the molecules are not strongly associated in the liquid phase). How well do the ΔS_{vap} values calculated in step (3) agree with the Trouton rule prediction? Based on your comparison, what might you deduce about the arrangement of fluorobenzene or benzenethiol molecules in the liquid phase (are the molecules structurally packed in a more highly ordered or less ordered fashion than would normally be expected for a liquid)? 

Suggestions
for improving this web site are welcome. You are
also encouraged to submit your own datadriven exercise to
this
web archive. All inquiries should be directed to the curator:
Tandy
Grubbs, Department of Chemistry, Unit 8271, Stetson University, DeLand,
FL 32720.
