Learning outcome

Process Analytical Technology (PAT) is currently revolutionizing industrial production. Instead of bringing samples to the central laboratory, PAT brings the analytical instruments directly to the production process, most often in the form of multi-channel instrumentation opening up for a powerful multivariate data modeling (chemometrics). There are many benefits: increased process understanding, increased opportunities for process monitoring and control, increased profitability. A candidate who has completed the course will have a learning outcome in the form of aquired knowledge, skills, and general competence, as described below:

Knowledge

The candidate:

• General understanding of the Theory of Sampling (TOS)
• Specific, thorough understanding of process sampling in particular (1-D sampling)
• Overview understanding of Process Analytical Technologies (PAT)
• Sufficient understanding of Multivariate Data Analysis (MVDA) and Chemometrics

Skills

The candidate will have sufficient competence with respect to TOS, PAT & MVDA in order to:

• Identify TOS’ seven sampling errors in any process analytical, or process monitoring context. Be able to perform a heterogeneity characterisation (variographics).
• Modify existing, or design new sampling procedures, based on TOS.
• Interact with skilled analytical personal regarding specific PAT suggestions/procedures
• Perform Multivariate Process Data Analysis (Multivariate Process Control), based on CK4.

General competence

The candidate:

• Students are able to design a general process characterisation w.r.t. PAT, TOS and MVDA.
• Students are able to modify existing process monitoring (PAT/Process Control) systems.

Course Description

• Introduction to Process Analytical Technology (PAT): The PAT philosophy, Process Analytical Chemistry vs. Process Analytical Technology
• Multivariate Data analysis: Principal component analysis PCA, Principal component regression (PCR), Partial Least Squares regression (PLS-R), Validation of multivariate regression models
• Process sampling; Theory of sampling: General introduction to Theory of Sampling (0-d, 2-D, 3-D lots), General introduction to process sampling (1-D lots): Variographics, Specific focus on sensors, reference samples & MVDA process models
• Process Analytical Techniques (PAT) – on-line overview: Near Infra Red (NIR) and Mid Infra Red (MIR) Spectroscopy, Raman spectroscopy, Fluorescent sensing (+Further selections from Bakeev textbook)
• Process Analytical Techniques: in-depth treatment: Acoustic chemometrics (a.c.)

Teaching and Learning Methods

Teaching will be a combination of overview lectures, live demonstrations (classroom PC-projector), student participation (presentation of selected PAT-literature). Teaching is in the format of compact 2-day sessions.

Assessment Methods

Oral exam (if less than 5 students) or written exam.

Minor adjustments may occur during the academic year, subject to the decision of the Dean