This course focuses on instrumental analysis, including fluorescence spectroscopy, circular dichroism, NMR, ESR, microscopy, mass spectrometry, chromatography, electrophoresis, flow cytometry and their data treatment. Theory and practical approaches of these experimental methods are given.
By the end of this course, students will be able to understand :
1) Spectroscopic technique used in biological experiments
5) Data analysis
4) Metal ions analysis
5) Computational biochemistry
Instrumental analysis, Spectroscopy, Microscopy, Chromatography, Flow cytometry
|✔ Specialist skills||Intercultural skills||Communication skills||Critical thinking skills||✔ Practical and/or problem-solving skills|
At the beginning of each class, Instrumental Analysis in Bioscience is reviewed. At the end of every classes, students' understanding are accessed by exams.
|Course schedule||Required learning|
|Class 1||Chromatography||Theory and analytical applications of chromatography|
|Class 2||Electrophoresis||Theory and analytical applications of electrophoresis|
|Class 3||Theory of nuclear magnetic resonance and electron paramagnetic resonance||Theory and analytical applications of fluorescence spectroscopy|
|Class 4||NMR and IR spectra||Theory and analytical applications of immunochemical analysis|
|Class 5||Magnetic resonance imaging||免疫化学測定に関する理論と実践|
|Class 6||Mass spectrometry||Theory and analytical applications of circular dichroism|
|Class 7||Fluorescence spectroscopy||Therory of NMR and ESR|
|Class 8||Flow cytometry||Practice of NMR and IR|
|Class 9||Immunochemical analysis||Theory and analytical applications of mass spectrometry|
|Class 10||Single molecule spectroscopy||Theory and applications of MRI|
|Class 11||X-ray analysis||Theory and analytical applications of X-ray analysis|
|Class 12||Circular dichroism||Theory and analytical applications of microscopy|
|Class 13||Microscopy||Theory and analytical applications of single molecule spectroscopy|
|Class 14||Data analysis and error theory||Theory and analytical applications to data treatment and errors|
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
At the end of every classes, students' understanding are accessed by exams.