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    Surface-assisted laser desorption/ionization mass spectrometry using ordered silicon nanopillar arrays
    (Cambridge : Royal Society of Chemistry, 2014) Alhmoud, Hashim Z.; Guinan, Taryn M.; Elnathan, Roey; Kobus, Hilton; Voelcker, Nicolas H.
    Surface-assisted laser desorption/ionization mass spectrometry (SALDI-MS) is ideally suited for the high-throughput analysis of small molecules in bodily fluids (e.g. saliva, urine, and blood plasma). A key application for this technique is the testing of drug consumption in the context of workplace, roadside, athlete sports and anti-addictive drug compliance. Here, we show that vertically-aligned ordered silicon nanopillar (SiNP) arrays fabricated using nanosphere lithography followed by metal-assisted chemical etching (MACE) are suitable substrates for the SALDI-MS detection of methadone and small peptides. Porosity, length and diameter are fabrication parameters that we have explored here in order to optimize analytical performance. We demonstrate the quantitative analysis of methadone in MilliQ water down to 32 ng mL-1. Finally, the capability of SiNP arrays to facilitate the detection of methadone in clinical samples is also demonstrated.
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    Estimating the modulatory effects of nanoparticles on neuronal circuits using computational upscaling
    (Milton Park : Taylor & Francis, 2013) Busse, Michael; Stevens, David; Kraegeloh, Annette; Cavelius, Christian; Vukelic, Mathias; Arzt, Eduard; Strauss, Daniel J.
    Background: Beside the promising application potential of nanotechnologies in engineering, the use of nanomaterials in medicine is growing. New therapies employing innovative nanocarrier systems to increase specificity and efficacy of drug delivery schemes are already in clinical trials. However the influence of the nanoparticles themselves is still unknown in medical applications, especially for complex interactions in neural systems. The aim of this study was to investigate in vitro effects of coated silver nanoparticles (cAgNP) on the excitability of single neuronal cells and to integrate those findings into an in silico model to predict possible effects on neuronal circuits. Methods: We first performed patch clamp measurements to investigate the effects of nanosized silver particles, surrounded by an organic coating, on excitability of single cells. We then determined which parameters were altered by exposure to those nanoparticles using the Hodgkin–Huxley model of the sodium current. As a third step, we integrated those findings into a well-defined neuronal circuit of thalamocortical interactions to predict possible changes in network signaling due to the applied cAgNP, in silico. Results: We observed rapid suppression of sodium currents after exposure to cAgNP in our in vitro recordings. In numerical simulations of sodium currents we identified the parameters likely affected by cAgNP. We then examined the effects of such changes on the activity of networks. In silico network modeling indicated effects of local cAgNP application on firing patterns in all neurons in the circuit. Conclusion: Our sodium current simulation shows that suppression of sodium currents by cAgNP results primarily by a reduction in the amplitude of the current. The network simulation shows that locally cAgNP-induced changes result in changes in network activity in the entire network, indicating that local application of cAgNP may influence the activity throughout the network.
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    Gradients of Al/Al2O3 nanostructures for screening mesenchymal stem cell proliferation and differentiation
    (Wuhan : Scientific Research Publishing, 2013) Veith, Michael; Dufloux, Cécile; Ghaemi, Soraya Rasi; Cenk, Aktas; Voelcker, Nicolas H.
    By decomposing a molecular precursor we fabricated a novel surface based on an aluminium/aluminiumoxide composite incorporating nanotopography gradient to address high-throughput and fast analysis method for studying stem cell differentiation by nanostructures. Depending on the topography of the nanostructures, mesenchymal stem cells exhibit a diverse proliferation and differentiation behavior.