top of page

Training Section - Process Monitoring

Gain expertise in tailored techniques for biotech, pharmaceutical, and chemical industries. Learn measurement methods, spectroscopy techniques, and optical methods. Elevate your skills for precision in process control and quality assurance. Dive into the essentials of process monitoring with us!

Objectives

The objectives of this course are to equip participants with a strong foundation in process monitoring techniques tailored to the biotech, pharmaceutical, and chemical industries.

By the end of this module, you will be able to:

​

  • Understand established measurement techniques and their significance and applications in industry.

  • Master spectroscopy techniques, such as Near-Infrared (NIR), Mid-Infrared (MIR), Raman, and Microwave, and apply them in relevant industry contexts.

  • Explore spectroscopy further, focusing on fluorescence spectroscopy and UV/Vis spectroscopy, and understand their practical applications in industry.

  • Learn optical methods, including image processing techniques and pattern recognition, and apply them in industrial settings.

  • Handle measurement errors and uncertainty  and implementing calibration and validation techniques.

​​

This knowledge will be valuable for professionals seeking to improve process control and quality assurance in these sectors.

Course 
Overview

1 

Established Measurement Techniques

  • Basic measurement parameters: Temperature, pH, mass, density, conductivity.

  • Significance and application in industry.

2

Spectroscopy I

  • Introduction to spectroscopy.

  • Near-Infrared (NIR), Mid-Infrared (MIR), Raman, Microwave.

  • Applications and relevance.

3

Spectroscopy II

  • Multiple Linear Regression (MLR).

  • Fluorescence spectroscopy.

  • UV/Vis spectroscopy.

  • Comparison and applications.

  • Support Vector Machines (SVM).

  • Interpretation and application.

4

Optical Methods

  • Image processing techniques.

  • Pattern recognition in the industrial context.

5

Measurement Errors & Handling Uncertainty

  • Common sources of error.

  • Calibration and validation.

More Courses

Data Science

Process Control

Process Analytical Technology (PAT)

Featured Courses
 

Get In Touch

Tailored to your needs, our Featured Courses cover essential topics such as Physical Principles of Spectroscopy, Basics of Artificial Neural Networks, AI, Machine Learning & Deep Learning, and Data Acquisition & Pre-Processing.
Reach out to us to discuss how we can customize training sessions to align with your organization's goals and objectives.

bottom of page