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Intrumental Methods of Analysis I

Code: MI072114     Acronym: MIA1

Keywords
Classification Keyword
OFICIAL Physical Sciences

Instance: 2015/2016 - 1S Ícone do Moodle

Active? Yes
Responsible unit: Applied Chemistry Laboratory
Course/CS Responsible: MSc in Pharmaceutical Sciences

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
MICF 208 Official Curriculum 2 - 5,5 65 148,5

Teaching Staff - Responsibilities

Teacher Responsibility
Alberto da Nova Araújo

Teaching - Hours

Theoretical classes: 2,00
Theoretical and practical : 1,00
Laboratory Practice: 2,00
Type Teacher Classes Hour
Theoretical classes Totals 1 2,00
Alberto da Nova Araújo 0,90
Agostinho Almiro de Almeida 0,10
Eduarda das Graças Rodrigues Fernandes 1,00
Theoretical and practical Totals 5 5,00
Alberto da Nova Araújo 5,00
Laboratory Practice Totals 11 22,00
Alberto da Nova Araújo 10,00
Eduarda das Graças Rodrigues Fernandes 8,00
Agostinho Almiro de Almeida 4,00

Teaching language

Suitable for English-speaking students

Objectives

- To develop student abilities in the use of the main spectroanalytical techniques, instrumental methods and common procedures used in pharmaceutical, biomedical, bromathological and environmental analysis. Spectroanalytical techniques studied are UV/VIS spectrophotometry, Fluorimetry (with reference to flow cytometry and multiplexed analysis), Molecular chemiluminescence, Turbidimetry and Nephelometry, mid-IR quantitative spectrophotometry, Atomic absorption and emission spectrometries and ICP-MS (including general sample preparation procedures). Instrumental methods included are the calibration curve, successive standards addition, internal standard, titrimetry with instrumental detection and kinetic methods. More specific qualitative methods concerning each of the main instrumental techniques are also studied.
- to develop student skills in the decision making on the analytical procedures more suited for specific analytical purpouses
- To develop student skills in statistical treatment of instrumental data, in procedures validation according the European Medicines Agency, and in the adoption of good laboratory practice guides.
- To develop student skills in the development and use of calculus sheets for the automatic treatment of analytical data

Learning outcomes and competences

To acquire expertize on the use of main instruemental analytical techniques and on the use of calculus spreadsheet for data treatment and management. To acquire knowledge on precedures validation and the quality of results enabled.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)



Program

Introduction to instrumental methods of analysis: instrumental analysis vs. classical techniques. The analytical process, technique, method, procedure. Instruments vs apparatus. Classification of instrumental techniques. Physiological mechanisms of human vision – colour vision. Backgrounds of atomic and molecular absorption/emission UV/visible spectra. Analytical techniques(backgrounds, instrumentation, common methods, compared performances): molecular absorption, atomic absorption and atomic emission spectrometry, ICP-MS, photoluminescence techniques, chemiluminometric techniques, turbidimetry and nephelometry, quantitative mid-IR spectrophotometry. Methods of analysis: standard calibration, standard additions, internal standard, titrations, kinetic and multiparametric methods. Procedures: unitary operations in instrumental procedures; pharmaceutical, environmental, clinical, toxicological and bromathological examples.
Practical procedures evaluation: laboratorial errors(latent and human related) and its minimization procedures (surveys, accreditation, automation, decision barriers). Least squares regression and non parametric robust incomplete Theil´s method. Procedures accuracy evaluation: correlation studies, certified sample analysis, recovery studies. Reproducibility evaluation and control charts. Sensitivity, detection limit, quantification limit. Procedures robustness. Validation of analytical procedures. Development of Excell sheets for automatic tretament of analytical data.

Mandatory literature

Skoog Douglas A.; Principles of instrumental analysis. ISBN: 0-03-001229-5
Rouessac Francis; Chemical analysis: modern instrumental methods and techniques. ISBN: 0-471-97261-4
Harris Daniel C.; Quantitative chemical analysis. ISBN: 0-7167-4464-3

Complementary Bibliography

James Miller e Jane C Miller; Statistics and Chemometrics for Analytical Chemistry, Pearson Education Limited, 2005. ISBN: 978-0-13-129192-8
E. Joseph Billo; Excel for Chemists:A comprehensive guide, 2001. ISBN: 978-0-471-39462-4

Teaching methods and learning activities

The contents of the discipline are given in 13 weeks. Fifety minutes theoretical classes are presented in DataShow, starting with the lesson summary and objectives. Practical lessons are concerned with discussion of procedures performance evaluation and statistical evaluation of analytical information. Seven laboartorial experiments ilustrating the techniques and methods studied are provided. A report of each work with critical evaluation is required.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

designation Weight (%)
Exame 80,00
Trabalho laboratorial 20,00
Total: 100,00

Eligibility for exams

Studant attendance to the practical and laboratorial classes is mandatory. Those students whose attendance is lower than 3/4 of the classes effectively taught are considered without attendance.


Attendance to theoretical classes is not compulsory




Calculation formula of final grade

The 0 to 20 final classification corresponds to the final exam mark (80%) and to distribution assessment (20%).

Examinations or Special Assignments

not applied

Special assessment (TE, DA, ...)

Previous laboratorial evaluation is mandatory for students considered on the special regime (working students, etc)

Classification improvement

in accordance with "Normas de Avaliação-2005/2006"

Observations

Previous knowledge of analytical chemistry, organic chemistry, physiscs and statistics basic concepts are required for full comprehension of the different discipline issues. Classes are given in Portuguese language or if necessary in English.

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