ENVIRONMENTAL ANALYTICAL CHEMISTRY
- Academic year
- 2026/2027 Syllabus of previous years
- Official course title
- CHIMICA ANALITICA AMBIENTALE
- Course code
- CT0226 (AF:513559 AR:300928)
- Teaching language
- Italian
- Modality
- On campus classes
- ECTS credits
- 6
- Degree level
- Bachelor's Degree Programme
- Academic Discipline
- CHIM/01
- Period
- 1st Semester
- Course year
- 3
- Where
- VENEZIA
Contribution of the course to the overall degree programme goals
Expected learning outcomes
Students will be able to:
- understand the role of analytical data in environmental monitoring, control, and decision-making processes;
- correctly use scientific terminology related to analytical methods, instruments, and data-quality parameters;
- critically evaluate the suitability of a technique or method according to the matrix, analyte, and objective of the investigation;
- understand the basic principles of a sampling plan and of the main sample-preparation strategies;
- interpret analytical results taking into account accuracy, precision, sensitivity, detection limits, uncertainty, and quality control;
- relate the theoretical principles of analytical techniques to the main application fields of environmental monitoring.
The course will also develop the ability to critically discuss the strengths and limitations of analytical data and to use this knowledge to address environmental problems in a methodologically informed way.
Pre-requirements
Contents
The course also covers sampling and sample preparation for environmental matrices, with reference to in-situ and ex-situ, discrete and continuous measurement strategies, sampling plans and strategies, representativeness, preservation, transport, contamination, QA/QC, sampling devices, and the main preparative techniques, including classical and assisted extraction methods, SPE, QuEChERS, microextraction, and digestion for elemental analysis.
The course then addresses the fundamentals of chemical equilibria in aqueous solution and volumetric methods, with particular reference to acid-base, complexation, solubility, and redox equilibria, titration curves, and environmental applications; the main electroanalytical techniques, with particular reference to potentiometry, ion-selective electrodes, voltammetry, stripping voltammetry, amperometry, and conductometry; molecular spectroscopic techniques, with reference to UV-Vis, fluorescence, IR, and Raman; atomic spectroscopic techniques, with reference to AAS, ICP-OES, and AFS; chromatographic techniques, with particular reference to GC and HPLC, retention, efficiency, selectivity, and resolution parameters, and the main detectors used in environmental analysis. An optional introduction to mass spectrometry and hyphenated techniques is also provided.
Topics are also developed through application examples related to the monitoring and characterisation of environmental matrices, which are an integral part of the course and are used to connect analytical principles with real problems of compliance, speciation, screening, monitoring, and control.
Referral texts
Intagrative (optional) reference texts:
Sabbatini, Malitesta, Pastore, Chimica Analitica, Edises, 2025.
Christian, Dasgupta, Schug, Chimica analitica, Piccin, 2024.
For specific further reading on environmental sampling: Zhang, Fundamentals of Environmental Sampling and Analysis, Wiley-Interscience, 2007.
Other optional materials: any additional materials, papers, reports, or further bibliographic references uploaded or suggested during the course.
Assessment methods
Type of exam
The instructor is responsible for ensuring the authenticity and originality of all examinations and coursework. In cases of suspected academic misconduct, an additional on-site assessment may be required during the exams, which may differ from the standard format.
Grading scale
27–30: Full mastery of the topics covered in the course; ability to independently reorganise acquired knowledge in order to adapt analytical strategies to specific applications; appropriate use of technical terminology.
23–26: Good knowledge of the course topics; fair ability to organise information and effectively present analytical solutions discussed during the course; general familiarity with technical terminology.
18–22: Superficial knowledge of the topics covered; partially structured oral presentation with occasional need for guidance; use of technical terminology not always accurate.
Honours (cum laude) will be awarded in cases where the student demonstrates the ability to reinterpret analytical solutions presented in the course in a personal, original, and critical way.