Learn about Chemometrics methods
applied to Process Analytical Technology (PAT)
In-house sessions
SIMCA® or PLS_Toolbox®
3 days
Researchers, scientists and engineers
Objectives
This training session in multivariate data analysis, applied to PAT (Process Analytical Technology), is intended for people wishing to:
- Learn the basics of multivariate data analysis, also called Chemometrics, as part of the PAT initiative
- Set up data analytics tools for PAT processes
- Know the performances and limits of the sensors used for rapid control of products and processes
During the training, the method principles are introduced by a geometric approach. Emphasis is placed on the practical use of the method and the interpretation of the results.
Application exercises are proposed for each method. The training can be held on different chemometrics software: SIMCA® (Umetrics Sartorius), PLS_Toolbox® (Eigenvector Research Inc.) …
Need a specific training?
Our team study your request to offer you the most suitable and personalized training.
Program
Day 1: PAT and exploratory analysis
- PAT – Process Analytical Technology
- Principles
- Examples of applications
- Sensors
- Exploratory analysis
- Theoretical principle of PCA (Principal Component Analysis)
- Interpretation
- Detection of outliers
- Application on data set and software
Day 2: Quantification
- Theoretical principle of multivariate regression (PLS)
- Model validation methods
- Detection of outliers
- Optimization
- Prediction
- Application on data set and software
Day 3: Identification
- Principle of identification
- PLS-DA (PLS – Discriminant Analysis)
- SIMCA (Soft Independent Modeling of Class Analogies)
- Application on data set and software
Our trainer team
They talk about us
«Ondalys, helped reviewing of the Chemometrics chapter of the European Pharmacopoeia»
Our expertise for the analysis of your data
With over 15 years of experience in data analysis applied to spectroscopic, analytical and sensory data, the experts in our teams support you at every stage of your projects.
