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Hybrid Printing for the Fabrication of Smart Sensors

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Published on: January 31, 2019

Sensor Network for Continuous Tablet Manufacturing.

Sudarshan Ganesh¹, Mariana Moreno¹, Jianfeng Liu¹

¹School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA.

International Symposium on Process Systems Engineering

|February 15, 2023

Summary

This summary is machine-generated.

Accurate real-time monitoring using data reconciliation and gross error detection is now feasible in continuous pharmaceutical manufacturing. This enables enhanced process control and reliability in tableting operations.

Keywords:

Continuous Manufacturing Data Reconciliation Pharmaceutical Tableting Process Analytical Technology Sensor Network

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Area of Science:

Chemical Engineering
Pharmaceutical Manufacturing
Process Analytical Technology

Background:

Advancements in mechanistic understanding of unit operations.
Increased availability of diverse sensor technologies.
Enabling inline implementation of advanced data analysis methods.

Purpose of the Study:

Demonstrate benefits of accurate real-time process monitoring.
Apply data reconciliation and gross error detection.
Focus on continuous tableting processes.

Main Methods:

Inline implementation of data reconciliation.
Inline implementation of gross error detection.
Utilizing multiple sensor technologies for real-time data acquisition.

Main Results:

Accurate real-time monitoring of the process state achieved.
Demonstrated benefits in a continuous tableting process.
Case studies applicable to pilot-plant and manufacturing lines.

Conclusions:

Inline data reconciliation and gross error detection are effective in continuous pharmaceutical manufacturing.
Real-time monitoring enhances process understanding and control.
Methods are validated for practical implementation in tableting processes.