Advanced scattering techniques for characterisation of complex nanoparticles in solution.

Nanoparticles are vital to a broad range of applications including commercial formulations, sensing and advanced material synthesis. Nanoparticles can come in a variety of shapes including cubes, polyhedra, rods, and prisms, and recent literature has demonstrated the importance of nanoparticle shape to downstream function (such as cellular uptake). While researchers routinely characterise nanoparticle shape using electron microscopy techniques, this generally requires drying of the samples.

Getting together without water: Lipid self-assembly in polar non-aqueous solvents.

Self-assembled structures have numerous applications including drug delivery, solubilization, and food science. However, to date investigations into self-assembled structures have been largely limited to water, with some additives. This limits the types of assemblies that can form, as well as the accessible temperature range.

Differences in withdrawal symptoms, microglia activity, and cognitive functioning in rats exposed to continuous low-dose heroin in-utero.

Introduction: Opioid use during pregnancy and subsequent neonatal opioid withdrawal syndrome (NOWS) have been associated with poor developmental outcomes including cognitive functioning. Less is known about the underlying molecular effects of prenatal opioid exposure and subsequent withdrawal; however, given the recent increase in NOWS cases, there is a pressing need to better understand these effects, which may partially explain cognitive deficits that have been observed in both preclinical NOWS models and patients with NOWS. This study evaluated the effects of prenatal heroin exposure and subsequent precipitated withdrawal symptoms on microglial reactivity in the nucleus accumbens (NAc), dorsal hippocampus (HC), and ventral tegmental area (VTA) in rat neonates, as well as cognitive functioning at three developmental time points using the Morris Water Maze (MWM) task.

Challenges to extracting spatial information about double P dopants in Si from STM images.

The design and implementation of dopant-based silicon nanoscale devices rely heavily on knowing precisely the locations of phosphorous dopants in their host crystal. One potential solution combines scanning tunneling microscopy (STM) imaging with atomistic tight-binding simulations to reverse-engineer dopant coordinates. This work shows that such an approach may not be straightforwardly extended to double-dopant systems.