60/69/24 - ADVANCED ANALYTICAL CHEMISTRY WITH LABORATORY
Academic Year 2021/2022
Free text for the University
ANTONELLA ROSSI (Tit.)
- Teaching style
- Lingua Insegnamento
|[60/69] CHEMICAL SCIENCES||[69/00 - Ord. 2019] PERCORSO COMUNE||6||56|
The student should be able to assess the composition and properties and consequently the quality of materials and products. He/She should know the main methods of surface and interface analysis based on photon-, electron- and ion- probe techniques. He/She should be able to describe each of them and to show advantages and limitations for solving specific analytical problems in different fields of research and technology. Special attention will be dedicated to the applications to the development of new materials, to catalysis, biocompatibility, corrosion and tribology.
Furthermore, the student should be able to organize a literature research in order to design and carry out a chemical analysis referring to the up-date literature in the field.
The student should be able to perform a calibration of an instrument, validation of a method and to process the data also using computer assisted methods.
The student should have a sound knowledge of Analytical, General, Inorganic, Organic and Physical Chemistry; of Physics, Mathematics and Statistics. Furthermore,the student should be able to exploit programs and internet resources.
Concepts and methods for the development of a methodology with analytical quality assurance. Validation of methods and laboratory accreditation.(8 hours)
Radioanalytical techniques (8 hours lecture and 8 hours laboratory activity): Radiochemical methods of analysis. Radiation detectors. Isotope dilution analysis. Neutron activation analysis. Dating methods of analysis. Lab experiments: Rutherford's experiments; life-time and environmental radioactivity
Surface analytical methods: photon-, electron- and ion-based spectroscopy. In detail: principle, applications and advantages of X-ray photoelectron spectroscopy and Auger electron spectroscopy (14 hours).
Experiments by XPS (8hours): calibration of the spectrometer; analysis of polymers, metal alloys, and semiconductors. Groups of max 5 students will work in the laboratory. Data processing will be carried out using PC and dedicated software (8 hours).
The course has:
32 hours of lecture
16 hours in the lab for running the experiments
8 hours for data processing
I plan face-to-face teaching in the incoming A.A. 2021/ 2022, although we would like to retain new forms of teaching and aspects of online teaching, if they offer added value to traditional face-to-face teaching.
Lecture are given using power point presentations; usually in the last 10 minutes of the lecture, time for discussion or for the presentation of a case study is included.
Students can contact the professor or the tutors outside the lecture or laboratory also via skype, Zoom, MS Teams, etc.
Groups of no more than 5 students are organized for the practical work in the lab. Cooperative learning is strongly encouraged.
Face-to-face teaching will be usually preferred; complementary learning opportunities will be also offered.
Verification of learning
Intermediate tests: the student should be able to discuss the results obtained during the laboratory work.
Each student should then give an oral exam giving a ppt presentation where plots and tables should provide evidence of his/her ability of presenting and discussing experimental results.
During the oral examination shall be assessed for each question the appropriateness, accuracy and consistency of the knowledge, skills and competencies. The student should demonstrate clarity and fluency (lexical and semantic) and make appropriate use of specialist language of analytical chemistry. The content, the structure and the logical organization of the speech together with the skills in presenting the topics will be evaluated.
The oral examinations can be held as attendance exams or as remote ones.
The grade of the final exam takes into account the following factors:
* Quality of knowledge, skills, skills possessed and / or manifested: appropriateness, correctness and congruence of knowledge, skills and competences
* Exposure mode: expressive capacity; Appropriate use of the specific language of the discipline; Logical capabilities and consequentiality in the connection of contents; Ability to link different topics by finding the common points and to establish a coherent general design, that is to say by taking care of the structure, organization and logical connections of the exposition; Ability to synthesis also through the use of the symbolism of the material and the graphic expression of notions and concepts, in the form, for example, of formulas, schemes, equations.
* Relational qualities: Availability to exchange and interaction with the teacher during the interview.
* Personal qualities: critical spirit; Self-assessment capacity.
The score of the exam is given by a score in thirtieths on the basis of the following learning evaluation scale:
a) SUFFICIENT (from 18 to 20/30)
The candidate demonstrates little knowledge acquired, superficial level, many gaps, modest expressive abilities, but still sufficient to sustain a coherent dialogue; logical skills and consequentiality in the connection of the elementary level topics; lack of synthesis capacity and ability to express graphic expression rather stunted; little interaction with the teacher during the interview.
b) DISCRETE (from 21 to 23)
The candidate demonstrates a discrete acquisition of concepts, but some shortcomings; more than enough expressive skills to support a coherent dialogue; acceptable mastery of scientific language; logical skills and consequentiality in the connection of the topics of moderate complexity; more than sufficient synthesis capacity and ability to express acceptable graphics.
c) GOOD (from 24 to 26)
The candidate demonstrates a rather broad baggage of notions, with small gaps; satisfying expressive abilities and significant mastery of scientific language; dialogic ability and critical spirit that can be easily detected; good ability to synthesis and ability to express graphics more than acceptable.
d) EXCELLENT (from 27 to 29)
The candidate demonstrates a wide range of notions, with few marginal gaps; remarkable expressive abilities and elevated mastery of the scientific language; remarkable dialogical ability, good competence and relevant aptitude for logical synthesis; high capacity for synthesis and graphic expression.
e) EXCELLENT (30) The candidate demonstrates a lot of extensive and in-depth knowledge; high expressive abilities and mastery of scientific language; excellent dialogic ability, a strong ability to make connections between different topics; excellent ability to synthesis and great familiarity with the graphic expression.
The score 30 cum laude is attributed to candidates clearly above the average, and whose notional, expressive, conceptual, logical limits are generally totally irrelevant.
R. Kellner, J.-M. Mermet, M. Otto, H.M. Widmer, "Chimica Analitica", EdiSES, 2003.
Surface Analysis: The Principal Techniques, 2nd Edition. John C. Vickerman (Editor), Ian Gilmore (Co-Editor), ISBN: 978-0-470-01764-7, Paperback, 686 pages, March 2009
J.C.Miller and J.N.Miller, Statistics for Analytical Chemistry, Ellis Horwood Ltd., Chichester, 1988.
K. A. Rubinson, J.F. Rubinson, Chimica Analitica Strumentale, Zanichelli, Bologna, 2002
The course consists of lectures with the use of power point presentations and laboratory experiments with numerical exercises for the presentation of the results.
The slides of the lectures are available with the handouts.
The material is available both in English and in Italian.
The teacher will also exploit documentation from media and other bibliographic sources to stimulate students' interest in the subject.
In addition, students will be encouraged to use the workstations with PC and software applications.
The instructions for the practical work with questions that tend to stimulate the self-assessment tests are distributed prior to the meetings of the laboratory.
In addition to the planned experiments in the course, students wishing to do so may submit their project for the analysis of real samples.