270053 UE Forschungsbeispiel Femto- und Nano-Technologie an Grenzflächen (2021S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 01.02.2021 08:00 bis Mi 30.06.2021 23:59
- Abmeldung bis Mi 30.06.2021 23:59
Details
max. 15 Teilnehmer*innen
Sprache: Deutsch, Englisch
Lehrende
Termine
Zur Zeit sind keine Termine bekannt.
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Immanent evaluation of active participation and written laboratory report and/or seminar presentation of the experimental results.
Mindestanforderungen und Beurteilungsmaßstab
Practical and theoretical experience in state-of-the-art experimental procedures in recent research.
Prüfungsstoff
Hand-on laboratory experience
Literatur
Original literature, books and prints available on request
Zuordnung im Vorlesungsverzeichnis
PC-3, D.1, Doktorat
Letzte Änderung: Fr 19.02.2021 09:09
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Modification and characterization of spider silk
Spider silk is one of the most fascinating materials in nature and its characterization and tailoring its properties is of great interest. In this course the following will be covered:
A femtosecond solid-state laser will be used to modify spider silk by producing laser induced periodic surface structures along the silk fibers
We will employ µ-Raman spectroscopy to characterize the secondary protein structure of various spider silks in pristine and modified state.
The silks will also be imaged with scanning electron and cross polarized microscopy.Saak
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In this course we will employ a technique called sum-frequency generation (SFG) spectroscopy, used to study the molecular properties of different surfaces. SFG is a non-linear process which relies on the use of ultrafast femtosecond laser pulses.
One of our current research topics is the study of water surfaces, which play a key role in many atmospheric processes and their influence on the global climate is currently the largest source of uncertainty in predictive models.Students participating in this course can work on:
- the building a new SFG experiment, or
- the experimental investigation of aqueous solutions using an existing setup.