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Hydrophobic magnetic nanoparticles (NPs) consisting of undecanoate-capped magnetite (Fe3O4, average diameter ca. 5 nm) are used to control quantized electron transfer to surface-confined redox units and metal NPs. A two-phase system consisting of an aqueous electrolyte solution and a toluene phase that includes the suspended undecanoatecapped magnetic NPs is used to control the interfacial properties of the electrode surface. The attracted magnetic NPs form a hydrophobic layer on the electrode surface resulting in the change of the mechanisms of the surface-confined electrochemical processes. A quinone-monolayer modified Au electrode demonstrates an aqueous-type of the electrochemical process (2e-+2H+ redox mechanism) for the quinone units in the absence of the hydrophobic magnetic NPs, while the attraction of the magnetic NPs to the surface results in the stepwise single-electron transfer mechanism characteristic of a dry nonaqueous medium. Also, the attraction of the hydrophobic magnetic NPs to the Au electrode surface modified with Au NPs (ca. 1.4 nm) yields a microenvironment with a low dielectric constant that results in the single-electron quantum charging of the Au NPs.
This paper presents a two-dimensional-in-space mathematical model of biosensors based on an array of enzyme microreactors immobilised on a single electrode. The modeling system acts under amperometric conditions. The microreactors were modeled by particles and by strips. The model is based on the diffusion equations containing a nonlinear term related to the Michaelis-Menten kinetics of the enzymatic reaction. The model involves three regions: an array of enzyme microreactors where enzyme reaction as well as mass transport by diffusion takes place, a diffusion limiting region where only the diffusion takes place, and a convective region, where the analyte concentration is maintained constant. Using computer simulation, the influence of the geometry of the microreactors and of the diffusion region on the biosensor response was investigated. The digital simulation was carried out using the finite difference technique.
Mit freundlicher Genehmigung der Autoren (Stand 02.2006) Inhaltsverzeichnis: 0 Vorwort 1 Warum brauchen wir MeMoPad? Begründungslinien. 1.1 Was fordern Studierende? 1.2 Welche Vorteile ergeben sich für die Fakultät? 1.3 Zusammenfassung 2 MeMoPad – Das Mentorenprogramm an der Universität Paderborn 2.1 Qualitätsmerkmale eines Mentorenprogramms 2.2 Rolle und Aufgaben von Mentoren 2.3 Didaktische Implikationen 3 Das Rahmenkonzept – Betreuungsgebiete (BG) im Überblick 4 Organisatorisches 5 Die Umsetzung – Betreuungsgebiete im Detail 5.1 BG0: "Was bringt mir MeMoPad?" Materialien 5.2 BG1: "Leben an der Hochschule: Was bedeutet ‚studieren’?" 5.2.1 Didaktische Hinweise 5.2.2 Möglicher Ablauf Materialien 5.3 BG2: "Was bedeutet ‚lernen’ in der Hochschule?" 5.3.1 Didaktische Hinweise 5.3.2 Möglicher Ablauf Materialien 5.4 BG3: "Warum und wie (ge)braucht man wissenschaftliche Standards?" 5.4.1 Didaktische Hinweise 5.4.2 Möglicher Ablauf Materialien 5.5 BG4: "Wie präsentiert man (sich) erfolgreich?" 5.5.1 Didaktische Hinweise 5.5.2 Möglicher Ablauf Materialien 5.6 BG5: "Wie kann ich mich persönlich weiterentwickeln?" 5.5.1 Didaktische Hinweise 5.5.2 Möglicher Ablauf Materialien
A new and simple method for nanostructuring using conventional photolithography and layer expansion or pattern-size reduction technique is presented, which can further be applied for the fabrication of different nanostructures and nano-devices. The method is based on the conversion of a photolithographically patterned metal layer to a metal-oxide mask with improved pattern-size resolution using thermal oxidation. With this technique, the pattern size can be scaled down to several nanometer dimensions. The proposed method is experimentally demonstrated by preparing nanostructures with different configurations and layouts, like circles, rectangles, trapezoids, “fluidic-channel”-, “cantilever”- and meander-type structures.