A recent article in the journal Nanomedicine, born out of a Federal Bureau of Investigation workshop held at the University of Notre Dame in September 2012, tackles this complex "dual-use" aspect of nanotechnology research.
Miniaturized laboratory-on-chip systems promise rapid, sensitive, and multiplexed detection of biological samples for medical diagnostics, drug discovery, and high-throughput screening. Using micro-fabrication techniques and incorporating a unique design of transistor-based heating, researchers at the University of Illinois at Urbana-Champaign are further advancing the use of silicon transistor and electronics into chemistry and biology for point-of-care diagnostics.
By loading fragile RNA into silicon nanoparticles, researchers from The Methodist Hospital and two other institutions found a new drug delivery system can reduce the size of ovarian tumors by as much as 83 percent - and stop tumor growth in chemotherapy-resistant ovarian cancer tissue.
Biologists and physicists have developed a system of self-assembled connections using actin filaments for 3D microelectronic structures. Once the actin filaments become conductors, they join the various components of a system together.
The InLiveTox project, which has been funded by the EU over the past three years, has significantly advanced the capability of in vitro testing of nanoparticles. The project focused on the impact of nanoparticle exposure on the gut, cardiovascular system and liver. Exposure via ingestion is particularly relevant due to the inclusion of nanoparticles in food, food packaging and oral medicines.
The initial research collaboration discussion focused on the topic of functional nanomaterials for various applications between NRI and NANOTEC. In addition, the two institutes also discussed the possibility of organizing regular joint technical seminars to be held in both Thailand and Japan.
Researchers have revealed detailed 3D images of an important industrial coating that is used to reduce corrosion of ship hulls. The work allows the automatic identification of aluminium, talc, pigment and remaining filler components in the image, based solely on X-ray refractive data.