Course syllabus

Course-PM

KBT315 KBT315 Advanced analytical chemistry lp2 HT20 (7.5 hp)

Course is offered by the department of Chemistry and Chemical Engineering

Teaching language: English
Application code: 30114
Open for exchange students: Yes
Block schedule: B+
Minimum participants: 8
Maximum participants: 50

Examiner: Aldo Jesorka

Eligibility

General entry requirements for Master's level (second cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Specific entry requirements

English 6 (or by other approved means with the equivalent proficiency level)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Course specific prerequisites

General knowledge in chemistry, including analytical and physical chemistry, and mathematics.

Aim

• Provide a deepened understanding of the principles of analysis, including design of sampling protocols, pre-treatment, data handling and of the instrumentation used in modern analysis.
• Teach students to think critically and make informed choices between proposed analytical techniques, methods and instruments.
• Enable students to interpret data.
• Teach the principles of quality control and assurance
• Enable students to apply their knowledge to the practical solution of real analytical problems.
• Provide familiarity with current analytical literature to enable you to review, select, read and critically discuss the papers most relevant to a particular topic.
• Train students in the methods of multivariate evaluation
• Provide experience of handling and interpreting a wide range of analytical data.
• Develop the techniques of communication, including report writing and oral presentation.
• Train students in independent study.

Learning outcomes (after completion of the course the student should be able to)

• explain the analytical process
• select appropriate analytical techniques and methods for a given problem including sample pre-treatment, instrumental techniques, method validation and data processing
• apply multivariate statistics to a variety of data with emphasis on spectroscopic data
• explain and compare analytical techniques
• use LC, GC-MS, LC-MS, IC, AAS
• design and modify analytical protocols
• interpret mass spectra obtained by GC-MS or LC-MS
• apply good laboratory practice
• evaluate and critically examine data and literature
• present results in relation to state of the art, both written and orally.
• understand the ethical problems and principles in science and engineering with specific focus on the analytical sciences

Content

13 lectures (in English language):

• Analytical systems overview, GLP;
• Sample preparation considerations;
• Chromatography theory and instrumentation;
• Liquid chromatography, gradient elution;
• Analytical chemistry in industrial environments, GLP;
• Multivariate data analysis - PCA, PLS;
• Biosensors, Assays
• Mass spectrometry, advanced subjects and instrumentation;
• Microtechnology in analytical applications;
• Science and engineering ethics
• Literature search techniques

Laboratory Exercises (in English language):
Platereader-Assay or Lab on a chip, GC-MS or LC-MS;

Computer Exercises (in English language):
Multivariate calibration, PCA & PLS using Umetrics SIMCA;

Organisation

13 Lectures, 2 compulsory laboratories,  non-compulsorycomputer exercises, non-compulsory lab seminars

Literature

Textbook: D. C. Harris: Quantitative Chemical Analysis, 7th or later Ed. ISBN: 0716770415, handouts.

Examination including compulsory elements

Two in-class tests, one written literature assignment & final presentation have to be completed. Two lab exercises have to be completed.