Syllabus for |
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KAM021 - Advanced analytical chemistry |
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Syllabus adopted 2015-02-19 by Head of Programme (or corresponding) |
Owner: MPBIO |
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7,5 Credits |
Grading: TH - Five, Four, Three, Fail |
Education cycle: Second-cycle |
Major subject: Bioengineering, Chemical Engineering
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Department: 21 - CHEMISTRY AND CHEMICAL ENGINEERING
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Teaching language: English
Open for exchange students
Course module |
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Credit distribution |
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Examination dates |
Sp1 |
Sp2 |
Sp3 |
Sp4 |
Summer course |
No Sp |
0107 |
Written and oral assignments |
3,8 c |
Grading: TH |
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3,8 c
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0207 |
Laboratory |
3,7 c |
Grading: UG |
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3,7 c
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In programs
MPNAT NANOTECHNOLOGY, MSC PROGR, Year 1 (elective)
TIKEL CHEMICAL ENGINEERING, Year 3 (elective)
MPBIO BIOTECHNOLOGY, MSC PROGR, Year 1 (compulsory)
MPMCN MATERIALS CHEMISTRY, MSC PROGR, Year 1 (compulsory elective)
MPMCN MATERIALS CHEMISTRY, MSC PROGR, Year 2 (elective)
Examiner:
Bitr professor
Aldo Jesorka
Replaces
KAM020
Analytical chemistry, advanced course
Eligibility:
In order to be eligible for a second cycle course the applicant needs to fulfil the general and specific entry requirements of the programme that owns the course. (If the second cycle course is owned by a first cycle programme, second cycle entry requirements apply.)
Exemption from the eligibility requirement:
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling these requirements.
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.
- help students think critically and make informed choices between proposed analytical techniques, methods and instruments.
- enable you to interpret data.
- teach the principles of quality control and assurance
- enable you to apply your 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 you 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)
Suggest appropriate analytical methodology to a given problem including sample pre-treatment, analytical techniques, method validation and data evaluation
Apply multivariate statistics to a variety of data with emphasis on spectroscopic data
Use LC, GC-MS, LC-MS and AAS
Interpret mass spectra obtained by GC-MS or LC-MS
Design and modify analytical protocols
Apply good laboratory practice
Evaluate and critically examine data and literature
Explain and compare analytical techniques
Present results in relation to status of the art both written and orally.
Content
Lectures (in English language):
Analytical Systems Overview, GLP;
Sample Preparation Considerations;
Chromatography Theory (Plate/Rate Theory), Gradient Elution;
Liquid Chromatography;
NMR/Quality Assurance;
Analytical Chemistry in Industrial Environments, GLP;
Multivariate Data Analysis - PCA, PLS;
Electrochemistry: Amperometric Sensors, CE;
Biosensors, QCM Applications;
Industrial Biosensor Development;
Microfluidics in Analytical Applications;
Laboratory Exercises (in English language):
LC, cold vapor AAS, GC-MS or LC-MS;
Computer Exercises (in English language):
Multivariate Calibration, PCA & PLS using SIMCA P;
Organisation
Lectures, 3 laboratories (CV-AAS, GC-MS eller HPLC-MS,
HPLC), 2 computer exercises
Literature
Handouts and textbook: D. C. Harris: Quantitative Chemical Analysis, 7th or 8th Ed. ISBN: 0716770415.
Examination
Two in-class tests, one written literature assignment & final presentation have to be completed
Three lab exercises and two computer exercises have to be completed.