LLNL researchers have designed and developed a novel high-density, high-channel count 3D connector that enables hundreds or thousands of nonpermanent connections within a compact footprint. The connector addresses limitations of currently used conventional approaches that were described previously, which have an artificial ceiling on the number of recording sites of modern devices of no more…
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LLNL researchers have developed a method to enhance the performance of polyelectrolyte membranes by using a humidity-controlled crosslinking process which can be applied to precisely adjust the water channels of the membrane.
To address shortcomings of current liposome drug delivery systems, the patented innovation uses drug-loaded liposomes containing carbon nanotube porins (CNTPs) inserted into the liposomal membranes for the delivery of the encapsulated drugs. Short CNTPs (10 nm in length) with narrow diameter (0.8 nm) has been demonstrated to facilitate efficient fusion of lipid bilayers resulting in the…
A new approach of developing synthetic antibacterial mineral assemblages can be used as an alternative treatment when traditional antibiotics fail in clinical and agricultural settings. Mineral mixtures can be synthesized with tunable metal release and reactive oxygen species generation that are capable of killing human pathogens and promoting wound healing. One of the key components in the…
The method described in a pending patent application uses a novel thiacrown (dibenzohexathia-18-crown-6) for efficient extraction of 197m,gHg and 197gHg from irradiated Pt target foils. The separation of 197m,gHg and 197gHg from Pt foils using this novel thiacrown was found to be highly specific. No detectable amount of the Pt foil was seen in the…
Combining the principles of nanotechnology, cell-free protein synthesis and microfluidics, LLNL researchers have developed a reusable, portable programmable system that can create purified, concentrated protein product in vitro in a microfluidic device containing nucleic acids.
Many of the disadvantages of current interface devices can be overcome with LLNL’s novel interface design, which relies on area array distribution where independent interface connector subassemblies are positioned in a planar grid. Not only is the interface device expandable area-wise (without increasing contact force), but it could also be expanded height-wise, with multiple layers of…
LLNL’s high throughput method involves proteome-wide screening for linear B-cell epitopes using native proteomes isolated from a pathogen of interest and convalescent sera from immunized animals.
Commercial fiber optic cables are the current standard for carrying optical signals in industries like communications or medical devices. However, the fibers are made of glass, which do not have favorable characteristics for applications that require flexibility and re-routing, e.g. typically brittle, limited selection of materials, dimension constraints.
LLNL scientists developed novel hydrogels, which are biodegradable soft materials synthesized by a water-soluble polymer. Incorporating silver imparts antimicrobial activity to the material at low concentration compared to currently used silver nanoparticles. Our hydrogels are composed of silver ions instead of silver nanoparticles, which eliminates the toxicity concerns of modern silver…
LLNL has developed a brain-on-a-chip system with a removable cell-seeding funnel to simultaneously localize neurons from various brain regions in an anatomically relevant manner and over specific electrode regions of a MEA. LLNL’s novel, removable cell seeding funnel uses a combination of 3D printing and microfabrication that allows neurons from select brain regions to easily be seeded into…
LLNL has developed a novel process of production, isolation, characterization, and functional re-constitution of membrane-associated proteins in a single step. In addition, LLNL has developed a colorimetric assay that indicates production, correct folding, and incorporation of bR into soluble nanolipoprotein particles (NLPs).
LLNL has developed an approach, for formation of NLP/…