Tailored near-infrared fluorescent carbon nanotube sensors for pathogen detection / submitted by Robert Nißler ; 1st Referee: Prof. Dr. Sebastian Kruss, 2nd Referee: Prof. Dr. Uwe Groß
Nutzen und Notwenigkeit schneller und spezifischer Analysemethoden wurden spätestens während der globalen COVID-19 Pandemie jedem deutlich. Vor allem Entwicklungen im Bereich der Nanotechnologie könnten zu bislang ungeahnten medizinischen Diagnostikmethoden führen. Bislang sind jedoch kaum optische Nanosensoren zur Pathogendetektion bekannt, könnten aber in Zukunft eine schnelle, markierungsfreie und ortsaufgelöste Identifikation bakterieller Infektionen ermöglichen. Eine Klasse an Nanomaterialien mit außergewöhnlichen photophysikalischen Eigenschaften, welche sich zum Aufbau solcher spezie....
During the global COVID-19 pandemic, the needs and benefits of fast and specific analytical tools became apparent to everyone. In particular, advances in nanotechnology promise novel healthcare diagnostics, like the identification of bacterial pathogens. However, up to now, optical nanosensors for pathogen detection rarely exist, but could pave the way for fast, label-free in situ detection of infections in the future. One class of nanomaterials with extraordinary photophysical properties are semiconducting single-walled carbon nanotubes (SWCNTs) that can serve as building blocks for such o....
Medienart: |
E-Book |
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Erscheinungsjahr: |
2021 |
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Erschienen: |
Göttingen: 2021 |
Weitere Ausgaben: |
Erscheint auch als Druck-Ausgabe: Tailored near-infrared fluorescent carbon nanotube sensors for pathogen detection |
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Sprache: |
Englisch |
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Beteiligte Personen: |
Nißler, Robert, 1992- [VerfasserIn] |
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Hochschulschrift: |
Dissertation, Georg-August-Universität Göttingen, 2021$Kumulative Dissertation |
Links: |
Volltext [kostenfrei] |
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Themen: |
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Anmerkungen: |
Kumulative Arbeit |
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Umfang: |
1 Online-Ressource ; Illustrationen, Diagramme |
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Weitere IDs: |
urn:nbn:de:gbv:7-21.11130/00-1735-0000-0008-594E-E-2 21.11130/00-1735-0000-0008-594E-E |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
177473009X |
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