CHEMOMETRICS AND QUALITY CONTROL

CHEMOMETRICS AND QUALITY CONTROL

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iten
Code
90289
ACADEMIC YEAR
2019/2020
CREDITS
4 credits during the 4th year of 8451 Pharmaceutical chemistry and technology (LM-13) GENOVA

4 credits during the 5th year of 8452 Pharmacy (LM-13) GENOVA

4 credits during the 4th year of 8452 Pharmacy (LM-13) GENOVA

SCIENTIFIC DISCIPLINARY SECTOR
CHIM/01
LANGUAGE
Italian
TEACHING LOCATION
GENOVA (Pharmaceutical chemistry and technology)
semester
2° Semester
modules
This unit is a module of:
Teaching materials

OVERVIEW

In the laboratories advanced instrumental techniques  (such as NIR spectroscopy and UV_Vis ..) are currently employed not only with analytical purposes but also for on-line monitoring of production processes. These modern instruments are capable of performing analysis in a short time, but they provide a huge amount of data that can be processed only with the use of appropriate chemometric techniques. This course aims to provide the basis to extract useful information from multivariate data.

AIMS AND CONTENT

AIMS AND LEARNING OUTCOMES

The aim of the course is to provide the students with simple and powerful tools for basic multivariate data analysis. Among the possible applications of multivariate statistical analysis to chemical data, it will be shown how multivariate quality control can detect "bad" samples (i.e., not complying with the product specifications).

Teaching methods

All lessons are composed of a first theoretical part where the theory of chemometrics (without going into much detail of mathematical algorithms) is explained and a part of computer exercises. In this second part, a specific problem and the related data set are described to the students, that must try to extract the desired information using a statistical software.

SYLLABUS/CONTENT

Exploratory data analysis (Principal Component Analysis) to visualize the data structure; classification methods to identify a sample as belonging to one or more groups of previously-classified samples; regression methods to determine the amount of a component, property, or other value based on the measured X-block variables. PCA diagnostics.

TEACHERS AND EXAM BOARD

Ricevimento: Every day, by appointment.

LESSONS

Teaching methods

All lessons are composed of a first theoretical part where the theory of chemometrics (without going into much detail of mathematical algorithms) is explained and a part of computer exercises. In this second part, a specific problem and the related data set are described to the students, that must try to extract the desired information using a statistical software.

EXAMS

Exam description

The exam takes place at the computer. Students are provided with a data set and they have to extract the information useful for the problem by using different techniques of multivariate analysis (PCA, LDA, SIMCA ...) implemented on a statistical software used during the lessons.