Review: storyline · equations and derivations

Following Taylor L.S., Zhang G.G.Z. (2016) Physical chemistry of supersaturated solutions and implications for oral absorption. Advanced Drug Delivery Reviews.

Equations and their derivation: supersaturated solutions and oral absorption

How to read this page. Each section takes one display equation of Taylor and Zhang (2016, Adv. Drug Deliv. Rev., uncorrected proof), checked against the page image, with its page ([review p. N] is the PDF page, equal to the printed page and to the numbering of the storyline), and gives the algebra that links it to the equations before it. The review derives little line by line, so intermediate lines are marked (added), and numbers that come from the library and not from the review carry their source; arithmetic on them is also (added). Sections W1–W20 treat relations stated only in words or in a figure. See also the check. The review reuses letters: S is surface area in Eq. 1, supersaturation in Eqs. 3 and 14, and part of a solubility symbol in Eq. 16 (S_w, S_{tot}); D and h belong to the aqueous layer in Eq. 1 and to the membrane in Eq. 14.

The derivation map

  1. Eq. 1 — dissolution rate and its sink limit — from outside (Noyes–Whitney with the Nernst–Brunner layer; no reference printed); Fick's first law across a stagnant layer (added)
  2. Eq. 2 — crystalline solubility from the crystal-to-supercooled-liquid chemical potential — from outside (refs 19, 20); equal chemical potential at saturation, supercooled liquid as standard state
  3. Eq. 3 — supersaturation as chemical potential and activity ratio — from outside (ref 21); same step as Eq. 2 written for a supersaturated solution (added)
  4. Eq. 4 — concentration-based supersaturation — definition; equals Eq. 3 when \gamma_D^{W(S)}/\gamma_D^{W(c)}=1 in a dilute solution
  5. Eq. 5 — amorphous solubility from the activity coefficient alone — from Eq. 2 with the pure supercooled liquid in place of the crystal (added)
  6. Eq. 6 — amorphous from crystalline solubility — from Eqs. 2 and 5 + \gamma_D^{W(c)}\cong\gamma_D^{W(a)}
  7. Eq. 7 — crystal-to-supercooled-liquid chemical potential from melting data — from outside (ref 20); \Delta G=\Delta H-T\Delta S with constant \Delta C_p (added); left side printed without RT (misprint)
  8. Eq. 8 — chemical potential of drug in the water-saturated amorphous phase — definition of activity, pure amorphous drug as standard state
  9. Eq. 9 — activity in that phase from mole fraction and activity coefficient — definition
  10. Eq. 10 — amorphous solubility with water in the amorphous phase — from Eqs. 6, 8, 9 + equal chemical potential between the phases (the step printed later as Eq. 12)
  11. Eq. 11 — Murdande's concentration form — from outside (ref 12); from Eq. 10 by exponentiating + dilute solution + Gibbs–Duhem for the water term (added)
  12. Eq. 12 — equal drug activity in the water-rich and drug-rich phases — from outside (phase equilibrium) + common standard state
  13. Eq. 13 — logarithmic form with mole fractions and activity coefficients — from Eqs. 9 and 12
  14. Eq. 14 — membrane flux proportional to supersaturation — from outside (refs 39, 78, 79); Fick's first law in the membrane + interface equilibrium + Eq. 3 (added)
  15. Eq. 15 — micelle–water partition coefficient — definition
  16. Eq. 16 — total solubility in micelles — from Eq. 15 at crystal saturation + mass balance (ref 19)

Relations stated in words or in a figure:

Eq. 1. Dissolution rate

\frac{dM}{dt} = \frac{DS}{h}\left(C_s - C\right) \approx \frac{DSC_s}{h} \tag{1}

[review p. 2]

Eq. 2. Crystalline solubility

\ln\left(x_D^{W(c)}\gamma_D^{W(c)}\right) = \frac{\mu_D^{(c)} - \mu_D^{0(a)}}{RT} \tag{2}

[review p. 3]

Eq. 3. Supersaturation

\ln S = \frac{\mu_D^{W(S)} - \mu_D^{(c)}}{RT} = \ln\frac{\gamma_D^{W(S)}x_D^{W(S)}}{\gamma_D^{W(c)}x_D^{W(c)}} \tag{3}

[review p. 3]

Eq. 4. Concentration-based supersaturation

S_C = \frac{C}{C^{*}} \tag{4}

[review p. 3]

Eq. 5. Amorphous solubility from the activity coefficient

\ln x_D^{W(a)} = -\ln\gamma_D^{W(a)} \tag{5}

[review p. 3]

Eq. 6. Amorphous from crystalline solubility

\ln x_D^{W(a)} = \ln x_D^{W(c)} - \frac{\mu_D^{(c)} - \mu_D^{0(a)}}{RT} \tag{6}

[review p. 3]

Eq. 7. Chemical potential difference from melting data

\frac{\mu_D^{(c)} - \mu_D^{0(a)}}{RT} = -\frac{\Delta H_f}{R}\left(\frac{T_m - T}{T_m T}\right) + \frac{\Delta C_p}{R}\left(\frac{T_m - T}{T}\right) - \frac{\Delta C_p}{R}\left(\ln\frac{T_m}{T}\right) \tag{7}

[review p. 3]

Misprint. The page image (read at 300 dpi) prints the left side as \mu_D^{(c)}-\mu_D^{0(a)}, without the division by RT. As printed the equation cannot hold: the left side is in J/mol, and every term on the right is dimensionless (\Delta H_f/R in K times a term in K⁻¹; \Delta C_p/R dimensionless). The derivation below gives the right side for (\mu_D^{(c)}-\mu_D^{0(a)})/RT, the group that appears in Eqs. 2, 6 and 10, so the left side is corrected here. The right side is as printed. A reader who took the printed left side and divided by RT again for Eq. 6 would get a wrong solubility.

Eq. 8. Chemical potential in the water-saturated amorphous phase

\mu_D^{L(a)} = \mu_D^{0(a)} + RT\ln a_D^{L(a)} \tag{8}

[review p. 3]

Eq. 9. Activity from mole fraction

a_D^{L(a)} = x_D^{L(a)}\gamma_D^{L(a)} \tag{9}

[review p. 3]

Eq. 10. Amorphous solubility with water in the amorphous phase

\ln x_D^{W(a)} = \ln x_D^{W(c)} - \frac{\mu_D^{(c)} - \mu_D^{0(a)}}{RT} + \ln\left(x_D^{L(a)}\gamma_D^{L(a)}\right) \tag{10}

[review p. 4]

Eq. 11. The concentration form of Murdande

C_{\text{amorphous}} = C_{\text{eq}} \cdot e^{-I(a_2)} \cdot e^{\frac{\Delta G_{c\to a}}{R\cdot T}} \tag{11}

[review p. 4]

Eq. 12. Equal activity in the two liquid phases

a_D^{W(a)} = a_D^{L(a)} \tag{12}

[review p. 5]

Eq. 13. Logarithmic form

\ln x_D^{W(a)}\gamma_D^{W(a)} = \ln x_D^{L(a)}\gamma_D^{L(a)} \tag{13}

[review p. 5]

Eq. 14. Membrane flux and supersaturation

J \propto S * \frac{D}{h\gamma_m} \tag{14}

[review p. 9]

Eq. 15. Micelle–water partition coefficient

K_m = \frac{C_m}{C_w} \tag{15}

[review p. 11]

Eq. 16. Total solubility with micelles

S_{tot} = S_w + K_m S_w \tag{16}

[review p. 11]

W1. Binodal and spinodal

W2. Order of the phase boundaries

W3. LLPS or GLPS

W4. Crystallizer classes in solution

W5. Reading the onset

W6. The amorphous-to-crystalline ratio

W7. Ionic strength

W8. pH

W9. A second solute in the drug-rich phase

W10. Reciprocal solubility and partition coefficient

W11. The flux plateau and the upper limit of supersaturation

W12. Supersaturated against solubilized

W13. When Eq. 4 holds with micelles

W14. Free un-ionized drug in the central compartment

W15. Which step limits absorption

W16. Supply against removal

W17. The reservoir: plateau length and droplets

W18. The activity scale of Section 4.3

W19. Dose number and the percent of dose in the compartment

W20. The simulation and Table 1

Case8 h printed8 h reconstructed4 h printed4 h reconstructed
1100see below6564
2a2323.61717.2
2b4646.82727.6
2c7172.05252.8
330291111
41312.866.4

How the ideas developed

Years are those of the review's reference list; "printed" marks where this differs from the card's year. Attribution is the review's own and has not been checked against the older sources.

1. Dissolution of solid dispersions (Eq. 1). The rate law is named Noyes–Whitney, with the Nernst–Brunner film, and no reference is printed [review p. 2]. For dispersions, Simonelli, Mehta and Higuchi (1969, 1976, refs 9, 10) noted for sulfathiazole–PVP that the polymer dissolved faster than the drug, so that the drug's dissolution rate fell with time, more so at higher drug loading; Corrigan (1985, ref 94) proposed drug-controlled dissolution at moderate to high loadings and polymer-controlled release at low loadings [review p. 13]. Taylor group: Alonzo 2010 and Alonzo 2011 followed dissolution and crystallization from amorphous drugs and dispersions together, and showed that a polymer is needed for the concentration to keep rising [review p. 13]. After the review: dissolution was followed with a sink present, Hate 2017 and Hate 2018, which measure the difference that W16 leaves as a model.

2. Amorphous solubility from thermodynamics (Eqs. 2, 5–7, 10, 11). The heat-capacity route to the free energy of a glass goes back to Parks and co-workers (1934, 1936, refs 23, 24). Hancock and Parks (2000, ref 27) asked what the true solubility advantage is. Murdande and co-workers (2010, refs 12, 26, 50) added water in the amorphous phase, giving Eq. 11, and found that the prediction still often exceeded experiment, in systems that crystallized before reaching the limit. Paus and co-workers (2015, ref 22) treated the amorphous solubility as a liquid–liquid equilibrium [review p. 3]. Taylor group: Almeida e Sousa 2015 (printed 2014) and Mosquera-Giraldo 2015 (printed 2014) compared Eq. 10 with an experimental onset, so that the comparison was no longer made against a crystallizing system [review pp. 4, 8]. After the review: predictions now extend to other drugs and to the choice of heat-capacity route; see the formula pages under Eqs. 7 and 10 and the Ueda 2024 review.

3. The amorphous solubility as a phase boundary (Eq. 12, W1–W5). Miscibility gaps in water were known from phenol (Campbell and Campbell, 1937, ref 33) and described later for local anaesthetic drugs (Ceolin 2010, Rietveld 2013, refs 31, 32) [review p. 4]. Tachibana and Nakamura (1965, ref 42) and Brick and co-workers (2003, ref 25) made colloidal dispersions by solvent shifting, and the link to the amorphous solubility is "inferred" from Brick [review p. 4]. "Oiling out" before crystallization came from process chemistry (Bonnett 2003, Deneau and Steele 2005, refs 36, 34) [review pp. 4–5]. Light scattering for the binodal and spinodal came from proteins (Thomson 1987, ref 54), passed to a drug by Lafferrere (2004, ref 55), and nanosuspensions gave a bulk monomer concentration (Lindfors 2006, ref 52) [review p. 6]. Taylor group: Hsieh 2012 used titration; Ilevbare 2013 made LLPS the subject for pharmaceuticals, including the effect of ionic strength, and Ilevbare 2013 the effect of additives on droplets; Van Eerdenbrugh 2014 (ref 45, no card in the library) classified crystallization behaviour; Raina 2015 introduced fluorescent probes for the onset; Indulkar 2015 showed the pH dependence. After the review: the effect of polymer type and grade on the onset and on droplet stability, Ueda 2020 and Ueda 2020, and the effect of polymer ionization on crystallization, Shah 2025.

4. Flux follows activity (Eq. 14, W10, W11). Higuchi (1960, ref 78) gave the analysis for creams and ointments, Yalkowsky and Flynn (1974, ref 71) the correlation with vehicle polarity, and Twist and Zatz (1986, ref 70) the near-constant flux at constant activity across solubilities differing by orders of magnitude. Supersaturated donors were then tested on skin and silicone: Davis and Hadgraft (1991, ref 108), Megrab (1995, ref 72), Pellett (1997, ref 73), Moser (2001, ref 74) [review p. 9]. For oral delivery, Brouwers and co-workers (2009, ref 76) made supersaturation an absorption strategy, and Miller and co-workers (2012, ref 75) showed that it gives solubility without a loss of permeability [review p. 9]. Taylor group: Raina 2014 established the upper limit of flux at the amorphous solubility; Trasi 2015 lowered the limit with a second drug miscible in the drug-rich phase (ritonavir and lopinavir, W9); Jackson 2015 (printed 2016) gave the same limit from dispersions; Indulkar 2016 added duration through the reservoir [review pp. 9–10, 14]. After the review: Hate 2021 and Hate 2018 reported transport rising above the limit where droplets add to transfer (Bioperformance F15, F22); Almeida e Sousa 2016 tested other solid forms against the limit.

5. Solubilized drug and free drug (Eqs. 15, 16, W12–W14). The pH-partition hypothesis dates from Shore, Brodie and Hogben (1957, ref 89) [review p. 12]. That only free drug drives absorption was recognized by Poelma (1991, ref 84), and Katneni (2006, ref 85) showed that permeability calculated from total drug is wrong with micelles [review p. 11]. Eq. 15 follows Yalkowsky (1999, ref 19), and the fall of K_m with concentration comes from Goto and Endo (1978), Lee (1990) and Croy and Kwon (2005), refs 87, 86, 88 [review p. 11]. Taylor group: Raina 2015 showed that a concentration ratio under-reads activity while the maximum flux is unchanged [review p. 11]. After the review: Indulkar 2017 measured the fall of K_m, and Elkhabaz 2019 extended the flux-based reading to biorelevant media and human fluid (Amorphous solubility F16, F18).

6. From solution to absorption (W15–W20). The "spring and parachute" description is cited to Brouwers (2009, ref 76), and the 100 mL compartment to Mudie and co-workers (2014, ref 109) [review pp. 15–16]. Taylor and Zhang's addition is the simulation and the term "spring and plateau" for Case 1, a design target and not a measurement [review p. 16]. After the review: rats, with Wilson 2018 (ceiling against crystals) and Wilson 2020 (short inhibition was enough for a drug absorbed quickly, Bioperformance F24); and Hate 2019, which couples absorption with growth on seeds (Bioperformance F29).

Open points.