Flory–Huggins solution theory' is a mathematical model of the thermodynamics of polymer solutions which takes account of the great dissimilarity in molecular sizes in adapting the usual expression for the entropy of mixing. The result is an equation for the Gibbs free energy change \Delta G_m for mixing a polymer with a solvent. Although it makes simplifying assumptions, it generates useful results for interpreting experiments. The thermodynamic equation for the Gibbs free energy change accompanying mixing at constant temperature and (external) pressure is

\Delta G_m = \Delta H_m  T\Delta S_m \,
A change, denoted by \Delta, is the value of a variable for a solution or mixture minus the values for the pure components considered separately. The objective is to find explicit formulas for \Delta H_m and \Delta S_m, the enthalpy and entropy increments associated with the mixing process.
The result obtained by Flory and Huggins is

\Delta G_m = RT[\,n_1\ln\phi_1 + n_2\ln\phi_2 + n_1\phi_2\chi_{12}\,] \,
The righthand side is a function of the number of moles n_1 and volume fraction \phi_1 of solvent (component 1), the number of moles n_2 and volume fraction \phi_2 of polymer (component 2), with the introduction of a parameter \chi to take account of the energy of interdispersing polymer and solvent molecules. R is the gas constant and T is the absolute temperature. The volume fraction is analogous to the mole fraction, but is weighted to take account of the relative sizes of the molecules. For a small solute, the mole fractions would appear instead, and this modification is the innovation due to Flory and Huggins. In the most general case the mixing parameter, \chi, is a free energy parameter, thus including an entropic component. ^{[1]}^{[2]}
Contents

Derivation 1

External links 2

References 3

Footnotes 4
Derivation
We first calculate the entropy of mixing, the increase in the uncertainty about the locations of the molecules when they are interspersed. In the pure condensed phases — solvent and polymer — everywhere we look we find a molecule. Of course, any notion of "finding" a molecule in a given location is a thought experiment since we can't actually examine spatial locations the size of molecules. The expression for the entropy of mixing of small molecules in terms of mole fractions is no longer reasonable when the solute is a macromolecular chain. We take account of this dissymmetry in molecular sizes by assuming that individual polymer segments and individual solvent molecules occupy sites on a lattice. Each site is occupied by exactly one molecule of the solvent or by one monomer of the polymer chain, so the total number of sites is

N = N_1 + xN_2\,
N_1 is the number of solvent molecules and N_2 is the number of polymer molecules, each of which has x segments.
From statistical mechanics we can calculate the entropy change, the increase in spatial uncertainty, as a result of mixing solute and solvent.

\Delta S_m = k[\,N_1\ln(N_1/N) + N_2\ln(xN_2/N)\,]\,
where k is Boltzmann's constant. Define the lattice volume fractions \phi_1 and \phi_2

\phi_1 = N_1/N\,

\phi_2 = xN_2/N\,
These are also the probabilities that a given lattice site, chosen at random, is occupied by a solvent molecule or a polymer segment, respectively. Thus

\Delta S_m = k[\,N_1\ln\phi_1 + N_2\ln\phi_2\,]\,
For a small solute whose molecules occupy just one lattice site, x equals one, the volume fractions reduce to molecular or mole fractions, and we recover the usual equation from ideal mixing theory.
In addition to the entropic effect, we can expect an enthalpy change. There are three molecular interactions to consider: solventsolvent w_{11}, monomermonomer w_{22} (not the covalent bonding, but between different chain sections), and monomersolvent w_{12}. Each of the last occurs at the expense of the average of the other two, so the energy increment per monomersolvent contact is

\Delta w = w_{12}  \begin{matrix} \frac{1}{2} \end{matrix} (w_{22} + w_{11})\,
The total number of such contacts is

xN_2z\phi_1 = N_1\phi_2z\,
where z is the coordination number, the number of nearest neighbors for a lattice site, each one occupied either by one chain segment or a solvent molecule. That is, xN_2 is the total number of polymer segments (monomers) in the solution, so xN_2z is the number of nearestneighbor sites to all the polymer segments. Multiplying by the probability \phi_1 that any such site is occupied by a solvent molecule, we obtain the total number of polymersolvent molecular interactions. An approximation following mean field theory is made by following this procedure, thereby reducing the complex problem of many interactions to a simpler problem of one interaction.
The enthalpy change is equal to the energy change per polymer monomersolvent interaction multiplied by the number of such interactions

\Delta H_m = N_1\phi_2z\Delta w\,
The polymersolvent interaction parameter chi is defined as

\chi_{12} = z\Delta w/kT \,
It depends on the nature of both the solvent and the solute, and is the only materialspecific parameter in the model. The enthalpy change becomes

\Delta H_m = k T N_1\phi_2\chi_{12} \,
Assembling terms, the total free energy change is

\Delta G_m = RT[\,n_1\ln\phi_1 + n_2\ln\phi_2 + n_1\phi_2\chi_{12}\,] \,
where we have converted the expression from molecules N_1 and N_2 to moles n_1 and n_2 by transferring Avogadro's number N_A to the gas constant R = kN_A.
The value of the interaction parameter can be estimated from the Hildebrand solubility parameters \delta_a and \delta_b

\chi_{12} = V_{seg}(\delta_a  \delta_b)^2/RT \,
where V_{seg} is the actual volume of a polymer segment.
This treatment does not attempt to calculate the conformational entropy of folding for polymer chains. (See the random coil discussion.) The conformations of even amorphous polymers will change when they go into solution, and most thermoplastic polymers also have lamellar crystalline regions which do not persist in solution as the chains separate. These events are accompanied by additional entropy and energy changes.
It should be noted that in the most general case the interaction \Delta w and the ensuing mixing parameter, \chi, is a free energy parameter, thus including an entropic component. ^{[1]}^{[2]} This means that aside to the regular mixing entropy there is an another entropic contribution from the interaction between solvent and monomer. This contribution is sometimes very important in order to make quantitative predictions of thermodynamic properties.
More advanced solution theories exist, such as the FloryKrigbaum theory.
External links

"Conformations, Solutions and Molecular Weight" (book chapter), Chapter 3 of Book Title: Polymer Science and Technology; by Joel R. Fried; 2nd Edition, 2003
References

^ "Thermodynamics of High Polymer Solutions," Paul J. Flory Journal of Chemical Physics, August 1941, Volume 9, Issue 8, p. 660 Abstract. Flory suggested that Huggins' name ought to be first since he had published several months earlier: Flory, P.J., "Thermodynamics of high polymer solutions," J. Chem. Phys. 10:5161 (1942) No. 18, May 6, 1985Citation Classic

^ "Solutions of Long Chain Compounds," Maurice L. Huggins Journal of Chemical Physics, May 1941 Volume 9, Issue 5, p. 440 Abstract

^ We are ignoring the free volume due to molecular disorder in liquids and amorphous solids as compared to crystals. This, and the assumption that monomers and solute molecules are really the same size, are the main geometric approximations in this model.

^ For a real synthetic polymer, there is a statistical distribution of chain lengths, so x would be an average.

^ The enthalpy is the internal energy corrected for any pressurevolume work at constant (external) P. We are not making any distinction here. This allows the approximation of Helmholtz free energy, which is the natural form of free energy from the FloryHuggins lattice theory, to Gibbs free energy.

^ In fact, two of the sites adjacent to a polymer segment are occupied by other polymer segments since it is part of a chain; and one more, making three, for branching sites, but only one for terminals.
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