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HomeAffiliationsTechnion – Israel Institute of Technology

Affiliations: Technion – Israel Institute of Technology

Interaction of Beta-Casein with Kappa-Casein Fibrils

Portnaya I., Avni S., Kesselman E., Cogan U., Danino D., Technion – Israel Institute of Technology, IL
Amyloid protein fibrils are associated with numerous degenerative diseases. Kappa casein (kCN) at physiological conditions is known to form amyloid-like fibrils. Although these are not considered disease-related, understanding fibrillization and inhibition of this process may [...]

Calculation of Nanoparticle Filler Content in Solid or Liquid Dispersions

Khalfin R.L., Cohen Y., Technion – Israel Institute of Technology, IL
Nano composites have unique properties which depend to a large extent on the quality of the nanoparticle dispersion. An outstanding issue is the quantitative measure of fillers that are actually dispersed to dimensions below a [...]

beta-casein micelles and nanocapsules in drug delivery

Khalfin R.L., Bachar M., Danino D., Technion – Israel Institute of Technology, IL
β-casein, the main protein found in milk, is an amphiphilic molecule that forms micelles both above and below the pI. In the presented work we investigated the possible use of β-casein micelles as a vehicle [...]

Synergistic effects in mixed micellization between natural and synthetic block copolymers

Portnaya I., Khalfin R., Kesselman E., Danino D., Technion – Israel Institute of Technology, IL
Amphiphilic block copolymers and mixtures of amphiphiles find broad applications in numerous nano-technologies. In our previous study, we showed that interactions between a biological charged diblock copolymer, beta-casein, and a synthetic uncharged triblock copolymer, Lutrol [...]

Cryostructuration of latexes

Portnaya I., Technion – Israel Institute of Technology, IL
The presented study concerns with structurization of dispersed phase of polymer latexes during their freezing-thawing. It is known that freezing might have disturbed the latexes aggregate stability. In the presented work it was established that [...]

Fluoropolymer Nanofibers (VDF-TFE 5 mol%) by Electrospinning

Khalfin R., Cohen Y., Technion – Israel Institute of Technology, IL
Poly(vinylidene fluoride) with 5 mol % of tetrafluoroethylene copolymer (VDF-TFE), is known to have the same crystal structure as pure PVDF as well as similar unique electrical properties. The β-phase of this polymers has strong [...]

Visual Motion Analysis of Nanoplatforms Flow under an External Magnetic Field

Nakhmani A., Etgar L., Tannenbaum A., Tannenbaum R., Lifshitz E., Tannenbaum A., Tannenbaum R., Technion – Israel Institute of Technology, IL
We use the tools of nanotechnology and develop a visual tracking algorithm for motion analysis of nanoplatforms under the influence of an external magnetic field. We have studied quantitative relationships between nanoplatform sizes, fluid flow [...]

A New 3D Model of The Electro-Mechanical Response of Piezoelectric Structures

Elata D., Elka E., Abramovich H., Technion – Israel Institute of Technology, IL
The constitutive equations of multi-layered piezoelectric structures are derived in a new form. In this form, the electromechanical coupling is presented as an additional stiffness matrix. This matrix is a true property of the piezoelectric [...]

Electromechanical Buckling of a Pre-Stressed Layer Bonded to an Elastic Foundation

Abu-Salih S., Elata D., Technion – Israel Institute of Technology, IL
The electromechanical buckling of a pre-stressed layer bonded to an elastic foundation is analyzed. A new analytic solution of the mechanical post-buckling is presented. In addition, it is shown that electrostatic forces can precipitately instigate [...]

An efficient Adaptive Single-Mode (ASM) Pull-In Extraction Algorithm for Computer Aided Design of Electrostatic MEMS Devices

Elata D., Bochobza-Degani O., Nemirovsky Y., Technion – Israel Institute of Technology, IL
This paper presents a novel Adaptive Single-Mode (ASM) Pull-In extraction scheme for CAD of electrostatic MEMS. The scheme is 50 to 1000 times faster than various previously suggested methods. The extracted Pull-In parameters are shown [...]

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