First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
Course unit
SC02119324, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course Second cycle degree in
SC1170, Degree course structure A.Y. 2015/16, A.Y. 2017/18
bring this page
with you
Number of ECTS credits allocated 6.0
Type of assessment Mark
Department of reference Department of Chemical Sciences
Mandatory attendance No
Language of instruction English
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Teacher in charge MARCO FRASCONI

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses CHIM/01 Analytical Chemistry 6.0

Mode of delivery (when and how)
Period Second semester
Year 1st Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
Hours of
Individual study
Lecture 6.0 48 102.0 No turn

Start of activities 26/02/2018
End of activities 01/06/2018

Prerequisites: Analytical Chemistry I and II, in particular knowledges of instrumental analysis.
Target skills and knowledge: The course aims to introduce the principles and applications of the Process Analytical Chemistry (PAC), illustrating the analytical technologies that can be used to obtain qualitative and quantitative data of manufactured products of industrial chemical processes, with the purpose of performance controlling and optimization. The content of the course covers methods of process analysis systems including sampling systems, real-time analyzes and the data analysis with process control strategies.
Particular attention is paid to automation of processes and analytical systems, based on chromatographic, spectroscopic, electrochemical techniques, applicable for the real-time characterization of the production process.
In order to understand the quality of data and the influence of multiple parameters on the industrial process, the course includes an introduction to process chemometrics, method validation and control algorithms.
Examination methods: The exam consists of a written assay, on a focused topic on process analytical control, and an oral exam, on the core topics of the course.
Assessment criteria: Understanding level of the instrumental principles and of experimental details adopted in process analytical systems. Knowledge of scientific and technical terminology of the subject.
Course unit contents: 1) Introduction to Process Analytical Chemistry.
2) Sampling for analytical purposes. Sampling systems.
3) Data domains and signal elaboration. Sources of noise in instrumental analysis and signal-to-noise optimization strategies.
4) On-line chromatographic techniques. Process gas-chromatography (GC) and liquid-chromatography. Applications of GC and GC-MS in the petrochemical industry.
5) Optical spectroscopy for process analyses. UV-Vis, infrared and Raman spectroscopy: instrumentation design and sampling interface. Analytical applications of IR and Raman spectroscopies in the pharmaceutical industry.
6) Analytical electrochemistry. Potentiometry and ion-selective electrodes. Ion-sensitive field-effect transistors (ISFET). High-temperature potentiometric oxygen sensor in combustion process monitoring. Amperometric methods for on-line analysis.
7) Principles of chemical sensors. Origins of sensor selectivity: thermodynamic and kinetic aspects. Types, preparation and properties of sensors. Immunosensors and DNA-based sensors. Enzyme biosensors. Applications of biosensors in bioprocess monitoring and control.
8) Optical sensors. Integrated sensor arrays for high throughput analysis.
9) Automated methods of analysis. Flow injection analysis and applications in industrial biotechnology.
10) Microanalytical systems. Overview of miniaturization of analytical instruments utilizing microfabrication technology. Application of lab-on-chip detection techniques in bioanalytical studies.
11) Chemometrics methods for process control and monitoring. Feedback optimization algorithms.
Planned learning activities and teaching methods: Classroom lectures, seminars, examples of some instrumental details and demonstration of some equipment operations.
Additional notes about suggested reading: Lecture notes.
Textbooks (and optional supplementary readings)
  • Bakeev, Katherine A., Process analytical technologyspectroscopic tools and implemented strategies for the chemical and pharmaceutical industriesedited by Katherine A. Bakeev. Chichester: Wiley, 2010. Cerca nel catalogo
  • Skoog, Douglas A.; Leary, James J., Principles of instrumental analysisDouglas A. Skoog, James J. Leary. Fort Worth \etc.!: Saunders College publishing, --. Cerca nel catalogo