This course focusses on giving a basic introduction about the implementation of PAT tools in the (bio)pharmaceutical industry.
This course is given in an interactive manner (both theoretical and hands-on) and can be divided into two separate modules:
Module 1: Basic course: Introduction to PAT (1-day module)
Module 2: Basic data-analysis and modeling (1.5-day module)
Basic understanding of spectroscopy and (bio)pharmaceutical processes
Basic understanding of coding and programming (python)
MODULE 1: BASIC COURSE: INTRODUCTION TO PAT
The trainee will get a general introduction to PAT and the common (non-)spectroscopic sensors, learning how, when and where these tools can provide a benefit.
Non-spectroscopic sensors (Univariate/Multivariate)
PAT in R&D/Process Validation/QbD
The trainee will get the chance to see how PAT tools can be used/implemented and how this translates in a practical approach to acquire relevant process information.
Some of the tools that will be demonstrated are:
MODULE 2: BASIC DATA-ANALYSIS AND MODELING
Theory through practice
Using spectroscopic data, the teacher will go through different aspects of PAT and model development together with the attendee.
General introduction to Python
Data preparation and exploration
Introduction to modeling
Process control based on PAT
A detailed overview of the different modules can be found in the following document.