Part II, Chapter 5

Chemical Potential

Activity, fugacity, ideal and real solutions, Raoult's and Henry's laws

Historical Context

The concept of chemical potential was introduced by J. Willard Gibbs in 1876 as the intensive variable conjugate to particle number. Gilbert Newton Lewis (1901-1907) developed the concepts of activity and fugacity to extend the ideal-solution formalism to real systems, providing the practical tools that physical chemists use daily.

Francois-Marie Raoult established his law for ideal solutions in 1887, while William Henry discovered his law for dilute solutions of gases in 1803. Together, these laws define the two limiting behaviors that bracket all real solution behavior.

Key contributors: J. Willard Gibbs (1876), G. N. Lewis (1901), Francois Raoult (1887), William Henry (1803), Margules (1895).

Derivation 1: Chemical Potential

For a multi-component system, the Gibbs energy depends on T, P, and the amounts of each species. The fundamental relation becomes:

$$dG = -S\,dT + V\,dP + \sum_i \mu_i \, dn_i$$

The chemical potential of species i is defined as:

$$\mu_i = \left(\frac{\partial G}{\partial n_i}\right)_{T, P, n_{j \neq i}}$$

Equivalently, $\mu_i$ can be expressed in terms of other potentials:

$$\mu_i = \left(\frac{\partial U}{\partial n_i}\right)_{S,V,n_{j\neq i}} = \left(\frac{\partial H}{\partial n_i}\right)_{S,P,n_{j\neq i}} = \left(\frac{\partial A}{\partial n_i}\right)_{T,V,n_{j\neq i}}$$

The chemical potential has a clear physical interpretation: it is the Gibbs energy per mole of species i when added to the mixture at constant T and P. Material flows spontaneously from regions of high $\mu$ to regions of low $\mu$, just as heat flows from high T to low T.

Derivation 2: Ideal Solutions and Raoult's Law

For an ideal gas at temperature T, the chemical potential depends on pressure:

$$\mu(T, P) = \mu^\circ(T) + RT \ln\frac{P}{P^\circ}$$

For an ideal solution, we replace pressure with mole fraction to define:

Chemical Potential in Ideal Solution

$$\mu_i^{\text{ideal}} = \mu_i^* + RT \ln x_i$$

where $\mu_i^*$ is the chemical potential of pure component i.

At vapor-liquid equilibrium, $\mu_i^{\text{liquid}} = \mu_i^{\text{vapor}}$. For an ideal solution in equilibrium with ideal vapor, this leads to Raoult's law:

Raoult's Law

$$P_i = x_i \, P_i^*$$

The partial vapor pressure of each component is proportional to its mole fraction.

Derivation 3: Activity and Activity Coefficients

For real (non-ideal) solutions, G. N. Lewis introduced the activity $a_i$to maintain the same mathematical form as ideal solutions:

$$\mu_i = \mu_i^* + RT \ln a_i = \mu_i^* + RT \ln(\gamma_i x_i)$$

The activity coefficient $\gamma_i$ measures the deviation from ideal behavior:

Ideal solution: $\gamma_i = 1$ for all compositions
Positive deviation: $\gamma_i > 1$(molecules prefer their own kind; e.g., ethanol-hexane)
Negative deviation: $\gamma_i < 1$(unlike molecules attract; e.g., acetone-chloroform)

The one-parameter Margules model gives:

$$\ln \gamma_1 = A x_2^2, \qquad \ln \gamma_2 = A x_1^2$$

The parameter A can be positive (positive deviation) or negative (negative deviation). These expressions automatically satisfy the Gibbs-Duhem equation.

Derivation 4: Henry's Law

In the limit of infinite dilution ($x_i \to 0$), the solute molecules are surrounded entirely by solvent. The activity coefficient approaches a constant value $\gamma_i^\infty$, and the modified Raoult's law becomes:

Henry's Law

$$P_i = x_i \, K_{H,i} \quad \text{as } x_i \to 0$$

where $K_{H,i} = \gamma_i^\infty P_i^*$ is the Henry's law constant.

Henry's law is the tangent to the real vapor pressure curve at $x_i = 0$, while Raoult's law is the tangent at $x_i = 1$. For the Margules model:

$$K_{H,i} = P_i^* \exp(A) \quad \text{(one-parameter Margules)}$$

Henry's law is especially important for dissolved gases (O2, N2, CO2 in water) where the solute has no accessible pure liquid state at the system conditions.

Derivation 5: Fugacity and Fugacity Coefficient

Fugacity extends the concept of pressure to real gases, maintaining the ideal-gas form of the chemical potential:

$$\mu(T, P) = \mu^\circ(T) + RT \ln \frac{f}{P^\circ}$$

where $f = \phi P$ is the fugacity and $\phi$ is the fugacity coefficient.

The fugacity coefficient is derived from the equation of state:

$$\ln \phi = \int_0^P \frac{Z - 1}{P'} \, dP' = \frac{1}{RT} \int_0^P (V_m - V_m^{\text{ideal}}) \, dP'$$

where $Z = PV_m/(RT)$ is the compressibility factor. For a van der Waals gas:

$$\ln \phi \approx \frac{bP}{RT} - \frac{aP}{R^2 T^2} \quad \text{(moderate pressures)}$$

When $\phi < 1$, attractive forces dominate (fugacity less than pressure). When $\phi > 1$, repulsive forces dominate. At low pressures, $\phi \to 1$and fugacity equals pressure (ideal gas limit).

Applications

Osmotic Pressure

The chemical potential difference between pure solvent and solution drives osmosis. The van't Hoff equation $\Pi V = nRT$ is a direct consequence of the chemical potential of the solvent being lowered by solute.

Gas Solubility

Henry's law governs the dissolution of gases in liquids. The solubility of O2 in blood, CO2 in the ocean, and N2 in deep-sea divers' blood all follow Henry's law.

Process Engineering

Fugacity coefficients from equations of state (Peng-Robinson, SRK) are used to design high-pressure chemical processes including ammonia synthesis, supercritical extraction, and natural gas processing.

Colligative Properties

Boiling point elevation, freezing point depression, and vapor pressure lowering all arise from the reduction of solvent chemical potential by solute addition.

Simulation: Solutions, Activity, and Fugacity

This simulation compares ideal and real solution behavior, demonstrates Raoult's and Henry's laws, plots activity coefficient models, and computes fugacity coefficients for CO2 using the van der Waals equation.

Chemical Potential, Activity, and Fugacity

Python
script.py174 lines

Click Run to execute the Python code

Code will be executed with Python 3 on the server

Colligative Properties

Colligative properties depend on the number of solute particles rather than their identity. They arise because solute lowers the chemical potential of the solvent.

Boiling Point Elevation

$$\Delta T_b = K_b \cdot m = \frac{RT_b^2 M_1}{\Delta H_{\text{vap}}} \cdot m$$

where $K_b$ is the ebullioscopic constant and m is the molality. For water, $K_b = 0.512$ K kg/mol.

Freezing Point Depression

$$\Delta T_f = K_f \cdot m = \frac{RT_f^2 M_1}{\Delta H_{\text{fus}}} \cdot m$$

For water, $K_f = 1.86$ K kg/mol. This is why salt melts ice on roads and antifreeze protects car engines.

Osmotic Pressure

$$\Pi = \frac{nRT}{V} = cRT$$

The van't Hoff equation for osmotic pressure. For dilute solutions, osmotic pressure is remarkably large: 1 M solution exerts about 24 atm at 298 K.

Vapor Pressure Lowering

$$\Delta P = x_{\text{solute}} \cdot P_{\text{solvent}}^*$$

Raoult's law directly implies that adding a non-volatile solute reduces the vapor pressure of the solvent by an amount proportional to the solute mole fraction.

All four colligative properties share the same physical origin: the reduction of solvent chemical potential by the presence of solute, $\Delta\mu_1 = RT\ln x_1 \approx -RT x_2$for dilute solutions.

Excess Thermodynamic Functions

Excess functions measure the deviation of a real solution from ideal behavior. They are defined as the difference between the actual mixing property and the ideal mixing property:

$$G^E = G_{\text{mix}} - G_{\text{mix}}^{\text{ideal}} = RT \sum_i x_i \ln \gamma_i$$
$$H^E = H_{\text{mix}} \quad \text{(since } H_{\text{mix}}^{\text{ideal}} = 0 \text{)}$$
$$S^E = S_{\text{mix}} - S_{\text{mix}}^{\text{ideal}} = -R \sum_i x_i \ln \gamma_i - \frac{H^E - G^E}{T}$$

For the one-parameter Margules model with parameter A:

Excess Gibbs energy: $G^E = RT \cdot A \cdot x_1 x_2$ (symmetric parabola)
Excess enthalpy: If A is temperature-independent,$H^E = -RT^2 \frac{\partial(G^E/T)}{\partial T} = 0$ (athermal solution)
Excess entropy: $S^E = -(\partial G^E/\partial T)_P = -RA \cdot x_1 x_2$

The two-parameter Margules model ($G^E = x_1 x_2 (A_{12}x_1 + A_{21}x_2) RT$) accommodates asymmetry. The van Laar, Wilson, NRTL, and UNIQUAC models offer increasing sophistication for strongly non-ideal systems.

Regular Solutions and the Hildebrand Model

Joel Hildebrand (1929) introduced the concept of regular solutions: mixtures where the excess entropy is zero ($S^E = 0$), so all non-ideality arises from enthalpy:

$$G^E = H^E = w \cdot x_1 x_2$$

where $w = N_A z [\varepsilon_{12} - \frac{1}{2}(\varepsilon_{11} + \varepsilon_{22})]$is the interchange energy.

The Hildebrand solubility parameter $\delta = \sqrt{\Delta U_{\text{vap}}/V_m}$ allows estimation of the interchange energy:

$$w \approx V_m (\delta_1 - \delta_2)^2$$

The "like dissolves like" rule follows: substances with similar solubility parameters ($\delta_1 \approx \delta_2$) have small w and form nearly ideal solutions.

Chapter Summary

Chemical potential: $\mu_i = (\partial G/\partial n_i)_{T,P}$; drives mass transfer and equilibrium.

Ideal solutions: $\mu_i = \mu_i^* + RT\ln x_i$; obey Raoult's law at all compositions.

Activity: $a_i = \gamma_i x_i$; accounts for non-ideal intermolecular interactions.

Henry's law: $P_i = x_i K_H$ for dilute solutes; the tangent at infinite dilution.

Fugacity: $f = \phi P$; the "effective pressure" for real gases at high pressure.

Rate this chapter: