Drux is a Python-based framework for simulating drug release profiles using mathematical models. It offers a reproducible and extensible platform to model, analyze, and visualize time-dependent drug release behavior, making it ideal for pharmaceutical research and development. By combining simplicity with scientific rigor, Drux provides a robust foundation for quantitative analysis of drug delivery kinetics.
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- Check Python Packaging User Guide
- Run
pip install drux==0.1
- Download Version 0.1 or Latest Source
- Run
pip install .
The Higuchi model describes the release of a drug from a matrix system, where the drug diffuses through a porous medium.
The Higuchi equation addressed important aspects of drug transport and release from planar
devices. According to this model, the cumulative amount of drug released at time
where:
-
$M_t (\frac{mg}{cm^2})$ is the cumulative absolute amount of drug released at time$t$ -
$D ({\frac{cm^2}{s}})$ is the drug diffusivity in the polymer carrier -
$c_0 (\frac{mg}{cm^3})$ is the initial drug concentration (total concentration of drug in the matrix) -
$c_s (\frac{mg}{cm^3})$ is the solubility of the drug in the polymer (carrier)
- Matrix Tablets
- Hydrophilic polymer matrices
- Controlled - Release Microspheres
- Semisolid Systems
- Implantable Drug delivery systems
from drux import HiguchiModel
model = HiguchiModel(D=1e-6, c0=1, cs=0.5)
model.simulate(duration=1000, time_step=10)
model.plot(show=True)
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1- T. Higuchi, "Rate of release of medicaments from ointment bases containing drugs in suspension," Journal of Pharmaceutical Sciences, vol. 50, no. 10, pp. 874–875, 1961.
2- D. R. Paul, "Elaborations on the Higuchi model for drug delivery," International Journal of Pharmaceutics, vol. 418, no. 1, pp. 13–17, 2011.
3- R. T. Medarametla, K. V. Gopaiah, J. N. Suresh Kumar, G. Anand Babu, M. Shaggir, G. Raghavendra, D. Naveen Reddy, and B. Venkamma, "Drug Release Kinetics and Mathematical Models," International Journal of Science and Research Methodology, vol. 27, no. 9, pp. 12–19, Sep. 2024.
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