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. Author manuscript; available in PMC: 2016 Jul 13.
Published in final edited form as: J Pharm Sci. 2014 Apr 30;103(6):1787–1798. doi: 10.1002/jps.23980

Table 3.

Dissolution models along with the governing equations to model dissolution of micronized stock and NanoClusters. Includes description of variables and assumptions.

Model Main Dissolution Equation Other Equations Variables Assumptions
Classical Higuchi41
Mt=kt Eqn 1
k=A2CiDCs Eqn 2
Ci = initial concentration
Cs = drug solubility
A = surface area
D = diffusion coefficient
t = time
Mt = released drug
  1. Thin polymer film

  2. Constant D

  3. Minimal edge effects

  4. Higher drug concentration than solubility

  5. Homogenous drug dispersion

Higuchi – Peppas Derivation 42
Mt=1-6π2n=11n2exp-Dn2π2ta2 Eqn 3
Mt=6Dtπa2-3Dta2 Eqn 4

(short time approximation)
a = radius of sphere
D = diffusion coefficient
t = time
n = diffusional exponent characteristic of release mechanism
Mt = released drug
  1. Constant D

  2. 1 dimensional radial release

  3. Sink boundary conditions

  4. Short term approx. only for first 40% of drug released

Siepmann 43
Mt=1-6π2n=11n2exp-Dn2π2ta2

Monolithic solution
Mt=-3DR2CsCit Eqn 5

Monolithic Dispersion
Mt=1-6π2exp-Dtπ2R2 Eqn 6

(late time approximation)
Ci = initial concentration
Cs = drug solubility
a = radius of sphere
D = diffusion coefficient
R = radius of sphere
t = time
Mt = released drug
  1. Sink conditions

  2. Constant D

  3. Drug transport in system is rate limiting

  4. Homogenous drug distribution

  5. Late time after 60% of drug released