IDENTIFYING DATA 2021_22
Subject (*) CHEMOMETRICS FOR MONITORING FERMENTED BEVERAGES Code 19625103
Study programme
Fermented Beverages (2014)
Cycle 2nd
Descriptors Credits Type Year Period
3 Compulsory First 1Q
Language
Castellà
Department Analytical Chemistry and Organic Chemistry
Coordinator
BOQUÉ MARTÍ, RICARD
E-mail ricard.boque@urv.cat
barbara.giussani@urv.cat
Lecturers
BOQUÉ MARTÍ, RICARD
GIUSSANI , BARBARA
Web http://www.quimica.urv.es/quimio/index.php?lang=ca
General description and relevant information <div> In this course the students will learn how to use classical statistical tools and multivariate analysis techniques to solve problems related to teh agrifood analysis. They will also know their potential application in the fields of food authentication, product quality control and process analytical technologies (PAT). <br /></div><div><p>In the event of a health emergency that requires confining the population or involving mobility restrictions during this course, efforts will be made to adapt teaching activity and assessment. If this situation occurs, these adaptations will be reported in the Moodle space of each subject. </p><p>The teaching of the subject will be online.</p></div>

Competences
Type A Code Competences Specific
 A1 Develop a thorough knowledge of chemical, biological and technological processes and of the latest scientific and technical advances involved in the production of fermented beverages, from the raw material to the final product
 A5 Use the tools of statistical analysis, chemometrics and graphic data handling to interpret and extract useful information using data obtained during the production of fermented beverages
Type B Code Competences Transversal
 CT2 Forming opinions on the basis of the efficient management and use of information.
 CT3 Solve complex problems critically, creatively and innovatively in multidisciplinary contexts.
 CT5 Communicate complex ideas effectively to all sorts of audiences.
Type C Code Competences Nuclear

Learning outcomes
Type A Code Learning outcomes
 A1 Have criteria to select the most appropriate chemometric technique to solve a raised oenological/raised food problem.
 A5 Ser capaç d'interpretar amb caràcter crític els resultats analítics.
Type B Code Learning outcomes
 CT2 Master the tools for managing their own identity and activities in a digital environment (Be digital).
Search for and find information autonomously using criteria of importance, reliability and relevance, which is useful for creating knowledge (Search).
Organise information with appropriate tools (online and face-to-face) so that it can be updated, retrieved and processed for re-use in future projects (Organize).
Produce information with tools and formats appropriate to the communicative situation and with complete honesty. (Create)
Use IT to share and exchange the results of academic and scientific projects in interdisciplinary contexts that seek knowledge transfer. (Share)
 CT3 Recognise the situation as a problem in a multidisciplinary, research or professional environment, and take an active part in finding a solution (Understanding).
Follow a systematic method with an overall approach to divide a complex problem into parts and identify the causes by applying scientific and professional knowledge. (Analysis)
Design a new solution by using all the resources necessary and available to cope with the problem (Creativity).
Draw up a realistic model that specifies all the aspects of the solution proposed (Innovation).
Assess the model proposed by contrasting it with the real context of application, find shortcomings and suggest improvements (Evaluation).
 CT5 Produce quality texts that have no grammatical or spelling errors, are properly structured and make appropriate and consistent use of formal and bibliographic conventions (Quality).
Draw up texts that are appropriate to the communicative situation, consistent and persuasive (Discourse construction).
Draw up texts that are appropriate to the communicative situation, consistent and persuasive. (Eficàcia)
Use the techniques of non-verbal communication and the expressive resources of the voice to make a good oral presentation (Non-verbal communication and use of the voice).
Construct a discourse that is structured, clear, cohesive, rich and of the appropriate length, and which can transmit complex ideas (Discourse construction).
Produce a persuasive, consistent and precise discourse that can explain complex ideas and effectively interact with the audience (Efficiency).
Type C Code Learning outcomes

Contents
Topic Sub-topic
1. Introduction to the basic statistical tools Experimental design
Hypothesis tests
Analysis of variance (ANOVA)
Regression
2. Tecniques of multivariate analysis Visualization techniques
Classification techniques
Prediction techniques
3. Food authentication Quality control
Fraud control
4. Process control Process analytical technologies (PAT)
Application examples of PAT in the agrifood industry

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
Hours outside the classroom
(**) Total hours
Introductory activities
1 0 1
Lecture
A1
15 20 35
Practical cases/ case studies in the classroom
A5
CT2
CT3
6 11 17
Presentations / oral communications
CT5
2 10 12
Personal attention
1 0 1
 
Mixed tests
A1
A5
CT5
1 8 9
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities Presentation of the course, the teaching methodology and the evaluation process.
Lecture Explanation of some basic contents of the course. Since the course is partially virtual, students should consult and study the documentation placed in Moodle.
Practical cases/ case studies in the classroom Completion and subsequent discussion of exercises and case studies that students have previously prepared.
Presentations / oral communications Oral presentation of a scientific article and subsequent discussion. Tutoring in the office, through e-mail or discussion forum on issues related to the course.
Personal attention Tutoring in the office, through email or through the forum discussion on issues related to the course (expectations, planning, monitoring, ...).

Personalized attention
Description

Tutoring on-line (Teams), through email or through the forum discussion on issues related to the course (expectations, planning, monitoring, ...).


Assessment
Methodologies Competences Description Weight        
Practical cases/ case studies in the classroom
A5
CT2
CT3
The preparation of the case studies, the process of resolution and the ability to critically interpret the results will be taken into account. 40%
Presentations / oral communications
CT5
The presentation planning, structure, form and content, as well as the student's ability to connect with the audience and answer questions, will be taken into account. 30%
Personal attention
Student's critical thinking, planning and managing of the course, as well as their motivation and expectations, will be assessed. 5%
Mixed tests
A1
A5
CT5
Students' criterion when solving problems and their ability to interpret the results will be assessed. 25%
Others  
 
Other comments and second exam session

This subject is evaluted by continuous assessment and the grade that is given is definitive. There are no final exams or retakes.

During the exams, any mobil telephone, tablet or other device that has not been expressly authorized for the exam must be switched off and out of view.

Any attempt to pass any exam of any subject by fraudulent means (be this physical or electronic) will result in the student being awarded a fail for the exam in question. In addition to this, the gravity of the offence may lead the faculty/school to propose that the student be subjected to disciplinary proceedings, which will be initiated by a resolution from the rector.


Sources of information

Basic Editor: Federico Marini, Chemometrics in food chemistry, 1ª ed. Elsevier (Oxford), 2013
Editor: Katherine A. Bakeev, Process analytical technology : spectroscopic tools and implemented strategies for the chemical and pharmaceutical industries, 2ª ed. Wiley (Chichester), 2010
J.N. Miller; J.C. Miller, Estadística y quimiometría para química analítica , 1ª ed. Prentice Hall (Madrid), 2002

The first two books are available electronically through the following links to the CRAI website:

http://cataleg.urv.cat/search~S13*cat?/Xchemometrics%20food&SORT=D/Xchemometrics%20food&SORT=D&SUBKEY=chemometrics+food/1%2C2%2C2%2CB/frameset&FF=Xchemometrics%20food&SORT=D&2%2C2%2C

http://cataleg.urv.cat/search~S13*cat?/Xprocess%20analytical&SORT=D/Xprocess%20analytical&SORT=D&SUBKEY=process+analytical/1%2C16%2C16%2CB/frameset&FF=Xprocess%20analytical&SORT=D&2%2C2%2C

Complementary

Recommendations


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.