Analysis of Pesticides and Contaminants in Food and Environmental Matrices
A.Y. 2021/2022
Learning objectives
The course on the "Analysis of pesticides and contaminants in food and environmental matrices" is based on 32 hours of classroom work, based on lessons in which students work with the teacher to acquire some basic principles of the analysis of pesticides and other toxic substances in food. In particular, specific attention is given to the main analytical techniques, analytical protocols used and methods to elaborate the data obtained to quantify the searched substances. In addition, possible approaches for sample preparation will be explained.
Expected learning outcomes
Students must learn the main principles to approach an analytical method, methods to use the analytical data to determine the concentration of contaminants/toxic substances in foods. This knowledge is important since allows students to acquire the necessary notions to approach analytical protocols and to apply them also in other advanced techniques.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
If the health authorities will not allow the presence of students in the classrooms, the lessons will be given via Microsoft Teams or Zoom. Recordings of the lessons will be available on Ariel platform.
The type of final exam will depend on the decisions by health authorities. Students will be informed in due time.
The type of final exam will depend on the decisions by health authorities. Students will be informed in due time.
Course syllabus
The course deals with issues related to the analysis of pesticides and contaminants in food. The main topics are: -
- Examples of analytical techniques used for the analysis of contaminants in foods (eg. Spectrophotometry, chromatography)
- Examples of different analytical approaches for the quantification of contaminants in relation to the food matrix
-Examples of commonly used instruments (e.g. calibration and use of micropipettes)
- Preparation and purification of samples in relation to the pesticides/ contaminants used
- Construction of calibration curve for the quantification of pesticides/ contaminants
- Examples of analytical techniques used for the analysis of contaminants in foods (eg. Spectrophotometry, chromatography)
- Examples of different analytical approaches for the quantification of contaminants in relation to the food matrix
-Examples of commonly used instruments (e.g. calibration and use of micropipettes)
- Preparation and purification of samples in relation to the pesticides/ contaminants used
- Construction of calibration curve for the quantification of pesticides/ contaminants
Prerequisites for admission
None
Teaching methods
The course is based on classroom work (or using Teams/Zoom platforms) on topics related to the analysis of pesticides or contaminants in food. The activity involves the explanation of some analytical techniques and the methods for elaborating analytical data. Applicative examples and
Teaching Resources
Analytical protocols and didactical materials (slides, exercises) provided by the teacher during the course and available also on Ariel platform.
Assessment methods and Criteria
The examination consists of a written test based on a set of exercises based on the elaboration of analytical data (the use of a calculator is allowed) and on some questions with multiple choice. The time required for the written test is about 60 minutes. The test is held at the end of the course; marks are expressed out of thirties and the test is passed with the achievement of at least 18/30. The results are uploaded on the Ariel website. In the case of a negative result, the test can be repeated in other time rounds, distributed in the permitted periods.
CHIM/10 - FOOD CHEMISTRY - University credits: 4
Lessons: 32 hours
Professor:
Di Lorenzo Chiara Maria
Professor(s)