Micro- and Nanopatterning of Surfaces Employing Self Assembly of Nanoparticles and Its Application in Biotechnology and Biomedical Engineering

Burkhardt, Claus; Fuchsberger, Kai; Nisch, W.; Stelzle, Martin

doi:10.5772/8197

Cited by 3 publications

(4 citation statements)

References 71 publications

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“…2A shows, the cells had an average zeta potential of -27.0±1.4 mV (standard deviation) (n=9). 45 The low level of variability in the measured values indicates the uniformity of these spheres. 37 The zeta potential of polystyrene spheres, which were used as model particles, was strongly negative (-76.6±1.5 mV, n=3) due to the presence of charged sulfonate groups (RSO 2 O − ) (Fig.…”

Section: Characterization Of Electric Charge At Surface Of Clonal Insmentioning

confidence: 95%

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Guiding pancreatic beta cells to target electrodes in a whole-cell biosensor for diabetes

et al. 2015

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We are developing a cell-based bioelectronic glucose sensor that exploits the multi-parametric sensing ability of pancreatic islet cells for the treatment of diabetes. These cells sense changes in the concentration of glucose and physiological hormones and immediately react by generating electrical signals. In our sensor, signals from multiple cells are recorded as field potentials by a micro-electrode array (MEA). Thus, cell response to various factors can be assessed rapidly and with high throughput. However, signal quality and consequently overall sensor performance rely critically on close cell-electrode proximity. Therefore, we present here a non-invasive method of further exploiting the electrical properties of these cells to guide them towards multiple micro-electrodes via electrophoresis. Parameters were optimized by measuring the cell's zeta potential and modeling the electric field distribution. Clonal and primary mouse or human β-cells migrated directly to target electrodes during the application of a 1 V potential between MEA electrodes for 3 minutes. The morphology, insulin secretion, and electrophysiological characteristics were not altered compared to controls. Thus, cell manipulation on standard MEAs was achieved without introducing any external components and while maintaining the performance of the biosensor. Since the analysis of the cells' electrical activity was performed in real time via on-chip recording and processing, this work demonstrates that our biosensor is operational from the first step of electrically guiding cells to the final step of automatic recognition. Our favorable results with pancreatic islets, which are highly sensitive and fragile cells, are encouraging for the extension of this technique to other cell types and microarray devices.

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Section: Characterization Of Electric Charge At Surface Of Clonal Insmentioning

confidence: 95%

“…S3A †). 45 The low level of variability in the measured values indicates the uniformity of these spheres. This permitted us to use polystyrene spheres for preliminary testing.…”

Section: Characterization Of Electric Charge At the Surface Of Clonal...mentioning

confidence: 95%

Guiding pancreatic beta cells to target electrodes in a whole-cell biosensor for diabetes

et al. 2015

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“…Interfaces formed between mutually immiscible fluids provide a powerful platform for assembling NPs into 2D higher-order structures 19 . However, spherical NPs tend to form hexagonally packed monolayers at fluid-fluid interfaces to maximize interparticle contacts 20 . Recently, we proposed a strategy for assembling more unusual structures from spherical NPs trapped at interfaces 21 .…”

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confidence: 99%

Discovery of two-dimensional binary nanoparticle superlattices using global Monte Carlo optimization

Zhou

Arya

2022

Nat Commun

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Binary nanoparticle (NP) superlattices exhibit distinct collective plasmonic, magnetic, optical, and electronic properties. Here, we computationally demonstrate how fluid-fluid interfaces could be used to self-assemble binary systems of NPs into 2D superlattices when the NP species exhibit different miscibility with the fluids forming the interface. We develop a basin-hopping Monte Carlo (BHMC) algorithm tailored for interface-trapped structures to rapidly determine the ground-state configuration of NPs, allowing us to explore the repertoire of binary NP architectures formed at the interface. By varying the NP size ratio, interparticle interaction strength, and difference in NP miscibility with the two fluids, we demonstrate the assembly of an array of exquisite 2D periodic architectures, including AB-, AB2-, and AB3-type monolayer superlattices as well as AB-, AB2-, A3B5-, and A4B6-type bilayer superlattices. Our results suggest that the interfacial assembly approach could be a versatile platform for fabricating 2D colloidal superlattices with tunable structure and properties.

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mentioning

confidence: 99%

Discovery of Two-Dimensional Binary Nanoparticle Superlattices Using Global Monte Carlo Optimization

Zhou

Arya

2022

Preprint

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Binary nanoparticle (NP) superlattices exhibit distinct collective plasmonic, magnetic, optical, and electronic properties. Here, we demonstrate how fluid-fluid interfaces could be used to self- assemble binary systems of NPs into 2D superlattices when the NP species exhibit different miscibility with the fluids forming the interface. We develop a basin-hopping Monte Carlo algorithm tailored for interface-trapped structures to rapidly determine the ground-state configuration of NPs, allowing us to explore the repertoire of binary NP architectures formed at the interface. By varying the NP size ratio, interparticle interaction strength, and difference in NP miscibility with the two fluids, we demonstrate the assembly of an array of exquisite 2D periodic architectures, including AB-, AB2-, and AB3-type monolayer superlattices as well as AB-, A3B5-, and A4B6-type bilayer superlattices. Our results suggest that the interfacial assembly approach could be a versatile platform for fabricating 2D colloidal superlattices with tunable structure and properties.

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Micro- and Nanopatterning of Surfaces Employing Self Assembly of Nanoparticles and Its Application in Biotechnology and Biomedical Engineering

Cited by 3 publications

References 71 publications

Guiding pancreatic beta cells to target electrodes in a whole-cell biosensor for diabetes

Guiding pancreatic beta cells to target electrodes in a whole-cell biosensor for diabetes

Discovery of two-dimensional binary nanoparticle superlattices using global Monte Carlo optimization

Discovery of Two-Dimensional Binary Nanoparticle Superlattices Using Global Monte Carlo Optimization

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