Welcome to PharmaPy’s documentation!

PharmaPy is an open-source library for the analysis of pharmaceutical manufacturing systems. Some of its features are:

  • Fully dynamic models (ODEs and DAEs) of commonly found unit operations on the drug substance side of pharmaceutical manufacturing

  • Start-up modeling, disturbance analysis

  • Fully sequential-modular approach: each unit is simulated individually in a pre-defined sequence

  • Allows decoupling of continuous/discontinuous sections of a flowsheet

  • Flexible modeling for batch/hybrid/continuous flowsheets

  • Utilize robust numerical integrators: SUNDIALS through python package Assimulo (ODE/DAE simulation)

  • In-house implementation of the Levenberg-Marquardt algorithm for Parameter Estimation

  • Simulate flowsheets, estimate kinetic parameters, optimize process conditions with external tools

How to cite us:

Bibtex entry:

@article{Casas-Orozco2020,
  author = {Casas-Orozco, Daniel and Laky, Daniel and Wang, Vivian and Abdi, Mesfin and Feng, X. and Wood, E. and Laird, Carl and Reklaitis, Gintaras V. and Nagy, Zoltan K.},
  doi = {10.1016/j.compchemeng.2021.107408},
  issn = {00981354},
  journal = {Comput. Chem. Eng.},
  month = {oct},
  pages = {107408},
  title = {{PharmaPy: An object-oriented tool for the development of hybrid pharmaceutical flowsheets}},
  url = {https://linkinghub.elsevier.com/retrieve/pii/S0098135421001861},
  volume = {153},
  year = {2021}
}

Our team

Developers

  • Daniel Casas-Orozco

  • Daniel J. Laky

  • Inyoung Hur

  • Varun Sundarkumar

  • Yash Barhate

  • Jung Soo Rhim

  • PharmaPy logo by Montgomery Smith

Purdue University Staff

  • Prof. Zoltan Nagy (PI)

  • Prof. Gintaras V. Reklaitis (coPI)

Support

PharmaPy has been made with the collaboration and support from the following institutions:

  • The CryPTSys Lab at Purdue University

  • The U.S. Food and Drug Administration (FDA)

Contents:

Indices and tables