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| Hauptseite > Publikationsdatenbank > Molecular layer deposition and protein interface patterning for guided cell growth > print |
| Hauptseite > Publikationsdatenbank > Molecular layer deposition and protein interface patterning for guided cell growth > print |
| 001 | 916371 | ||
| 005 | 20221222131702.0 | ||
| 020 | _ | _ | |a 978-3-95806-463-8 |
| 037 | _ | _ | |a FZJ-2022-06172 |
| 100 | 1 | _ | |a Glass, Manuel |0 P:(DE-Juel1)177033 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Molecular layer deposition and protein interface patterning for guided cell growth |f 2018-11-01 - 2019-10-31 |
| 260 | _ | _ | |c 2020 |
| 300 | _ | _ | |a 81 |
| 336 | 7 | _ | |a Book |0 PUB:(DE-HGF)3 |2 PUB:(DE-HGF) |m book |
| 336 | 7 | _ | |a Output Types/Supervised Student Publication |2 DataCite |
| 336 | 7 | _ | |a Thesis |0 2 |2 EndNote |
| 336 | 7 | _ | |a MASTERSTHESIS |2 BibTeX |
| 336 | 7 | _ | |a masterThesis |2 DRIVER |
| 336 | 7 | _ | |a Master Thesis |b master |m master |0 PUB:(DE-HGF)19 |s 1671695314_17299 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a SUPERVISED_STUDENT_PUBLICATION |2 ORCID |
| 502 | _ | _ | |a Masterarbeit, Universität zu Köln, 2019 |c Universität zu Köln |b Masterarbeit |d 2019 |
| 520 | _ | _ | |a This thesis describes the design, assembly and structural and functional characterization, of bio-(medical) applicable interfacial layers with molecular controlled architectures on solid substrates. The interaction between the living world of cells, tissue, or whole organisms and the (organic or inorganic) materials world of technical devices such as implants, sensors, or medical parts requires a proper construction and detailed structural (and functional) control of this organism-machine interface. Therefore, a possible way how to get from an optimal molecular layer deposition (MLD) to guided cell growth is developed in this work.By integrating a heater to an already existing MLD setup and an optimization of the deposition temperature we could improve the gas phase deposition process of GLYMO (3-Glycidyloxypropyl)-trimethoxysilane) yielding a faster formation of self-assembled monolayers (SAMs) and a better quality of GLYMO SAMs. This was confirmed by ex-situ analysis, e.g. fluorescence microscopy, referenced ellipsometry, and surface potential measurements.With the gas phase MLD, lithography, and lift-off processes functionalization of SiO2 surfaces with GLYMO SAMs and patterned ploy-L-lysine proteins (PLL) could be achieved. This enables to generate various micropatterns that support cell adhesion, neurite outgrowth, and the formation of a geometrically defined networks of neurons.Finally, guided growth was demonstrated via rat cortical neuron cultures on the GLYMO-PLL patterned surfaces. On first sight, the neuron growth was clearly guided, i.e. neurons grow on PLL but not on GLYMO. However, we also noticed that on certain areas which should be coated with PLL, no cells were present. It seemed that in these areas during the lithography PMMA is cracked due to the e-beam exposure and partially binds to the GLYMO. This cracked PMMA hinders the PLL to bind to GLYMO and therefore only in places, where PLL dries out during the coating, PLL is present in the GLYMO-PLL pattern. These effects are observed via fluorescence imaging for the PLL coating and for the cell growth.In conclusion, the modified deposition process at elevated temperatures in combination with the developed interface pattering process via a combination of a molecular layer of GLYMO and the protein PLL might be suitable for guidance of neuronal growth, despite the problem of a PMMA blocking layer which seem to be generated during the lithography. This shortcoming could be overcome by an additional step in which the blocking layer is remove. |
| 536 | _ | _ | |a 5241 - Molecular Information Processing in Cellular Systems (POF4-524) |0 G:(DE-HGF)POF4-5241 |c POF4-524 |f POF IV |x 0 |
| 909 | C | O | |o oai:juser.fz-juelich.de:916371 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)177033 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-524 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Molecular and Cellular Information Processing |9 G:(DE-HGF)POF4-5241 |x 0 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IBI-3-20200312 |k IBI-3 |l Bioelektronik |x 0 |
| 980 | _ | _ | |a master |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a book |
| 980 | _ | _ | |a I:(DE-Juel1)IBI-3-20200312 |
| 980 | _ | _ | |a UNRESTRICTED |
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