Particle Size Measurement in Twin Screw Wet Granulation; An Analysis of the Value of In-Line and At-Line Measurement Data

Particle Size Measurement in Twin Screw Wet Granulation; An Analysis of the Value of In-Line and At-Line Measurement Data

03/21/2017, 10:30 AM - 11:15 AM

Meeting Room 3

Language:
English

This presentation examines the data collected from both in-line and at-line measurement methods during the execution of a DOE aimed at quantifying, using a data-driven approach, the effects of input parameter changes on a twin screw wet granulation process (Thermo Fisher Scientific, Pharma 11) with a typical pharmaceutical formulation. The results between the PAT tool used (Eyecon2) and at-line tools (sieve analysis and Eyecon1 in its at-line configuration) are contrasted to understand the relative values of each. The real-time quality of the PAT data is also examined in order to further understand the time taken by the process to reach steady state and to understand the inherent variation within the process while at steady state. The effect of these variations on sampling-based measurements is also examined in order to further understand the time taken by the process to reach steady state and to understand the inherent variation within the process while at steady state.

Contributors

  • Iva Klarica

    Speaker

    Marketing Manager

    Innopharma Technology

  • Chris O'Callaghan

    Speaker

    Senior Product Manager

    Innopharma Technology

Documents

Type of Session

  1. Type of Session
    Session

Learning Objectives

  1. Learning Objectives 1. The results between the PAT tool used (Eyecon 2) and at-line tools (sieve analysis and Eyecon 1 in its at-line configuration) are contrasted to understand the relative values of each. 2. With the ongoing interest and growth in the continuous manufacturing sector the effective application of PAT can net enormous benefits in process understanding and efficient DOE. 3. The real-time quality of the PAT data is examined in order to further understand the time taken by the process to reach steady state and to understand the inherent variation within the process while at steady state.

Categories

  1. Track
    Enhancing Processing & Production Utilizing Innovation

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