Optimal Selection of Raw Materials for Pharmaceutical Drug Product Design and Manufacture using Mixed Integer Nonlinear Programming and Multivariate Latent Variable Regression Models-Reference-Cited by-同舟云学术

Optimal Selection of Raw Materials for Pharmaceutical Drug Product Design and Manufacture using Mixed Integer Nonlinear Programming and Multivariate Latent Variable Regression Models

Published:2013-04-23 Issue:17 Volume:52 Page:5934-5942
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Garcı́a-Muñoz Salvador¹,Mercado Jose²

Affiliation:

1. Pfizer Worldwide Research & Development, Groton, Connecticut 06340, United States

2. Pfizer Global Manufacturing,Vega Baja, 00693, Puerto Rico

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie3031828

Reference35 articles.

1. Particle engineering: A strategy for establishing drug substance physical property specifications during small molecule development

2. Improving the prediction of exceptionally poor tableting performance: An investigation into Hiestand's “special case”

3. Development of a high drug load tablet formulation based on assessment of powder manufacturability: Moving towards quality by design

4. Multi-scale pharmaceutical process understanding: From particle to powder to dosage form

5. Improved Protocol and Data Analysis for Accelerated Shelf-Life Estimation of Solid Dosage Forms

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