Model-based Scale-up

Model-Based Scale-Up is a systematic methodology within pharmaceutical process development that employs mechanistic or empirical models to predict and optimize critical process parameters during the scale-up of lyophilization, distinguishing itself from heuristic or trial-and-error approaches by relying on quantitative representations of underlying physical and chemical phenomena.

56

Publications

2K

Citations

239

Authors

96

Institutions

Publications per year

2017–2026

23

Authors

239

  1. FJ
    Feroz Jameel

    AbbVie (United States), United States

    3 publications · 97 citations

    3

    h-index

  2. RP
    Ralf Pörtner

    Hamburg University of Technology, Germany

    2 publications · 66 citations

    2

    h-index

  3. JK
    Joseph Kushner

    Pfizer (United States), United States

    2 publications · 62 citations

    2

    h-index

  4. TR
    Thorsten Röder

    Technische Hochschule Mannheim, Germany

    2 publications · 35 citations

    2

    h-index

  5. SS
    Sherwin Shang

    AbbVie (United States), United States

    2 publications · 69 citations

    2

    h-index

1–5 of 239

Venues

  1. Organic Process Research & Development

    5 publications · 109 citations

    5

    h-index

  2. Powder Technology

    4 publications · 82 citations

    4

    h-index

  3. AAPS PharmSciTech

    3 publications · 57 citations

    3

    h-index

  4. Chemical Engineering Science

    3 publications · 104 citations

    3

    h-index

  5. Industrial & Engineering Chemistry Research

    4 publications · 82 citations

    3

    h-index

1–5