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Category: nanotechnology – Page 207

Engineering researchers developed a next-generation miniature lab device that uses magnetic nano-beads to isolate minute bacterial particles that cause diseases. Using this new technology improves how clinicians isolate drug-resistant strains of bacterial infections and difficult-to-detect micro-particles such as those making up Ebola and coronaviruses.

Ke Du and Blanca Lapizco-Encinas, both faculty-researchers in Rochester Institute of Technology’s Kate Gleason College of Engineering, worked with an international team to collaborate on the design of the new system — a microfluidic device, essentially a lab-on-a-chip.

Drug-resistant bacterial infections are causing hundreds of thousands of deaths around the world every year, and this number is continuously increasing. Based on a report from the United Nations, the deaths caused by antibiotics resistance could reach to 10 million annually by 2050, Du explained.

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In a paper published on Nature Communications in 20 April 2020 by (read the original paper), Tianda Fu et al. from the University of Massachusetts Amherst proposed a new kind of diffusive memristor based on the protein nanowires sourced from the bacterium named Geobacter sulfurreducens that can potentially resolve the problem. The artificial neurons built on such memristors can function on the level of biological voltages, and they express “temporary integration feature that is similar to real neurons in our brain” according to the authors.

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In a study published in Nature, a UCLA-led team of researchers describe how the nanomachine recognizes and kills bacteria, and report that they have imaged it at atomic resolution. The scientists also engineered their own versions of the nanomachine, which enabled them to produce variations that behaved differently from the naturally occurring version.

Their efforts could eventually lead to the development of new types of antibiotics that are capable of homing in on specific species of microbes. Drugs tailored to kill only a certain species or strain of bacteria could offer numerous advantages over conventional antibiotics, including lowering the likelihood that bacteria will develop resistance. In addition, the tailored drugs could destroy harmful cells without wiping out beneficial bugs in the gut microbiome, and they could eventually offer the possibilities of being deployed to prevent bacterial infections, to kill pathogens in food and to engineer human microbiomes so that favorable bacteria thrive.

The particle in the study, an R-type pyocin, is a protein complex released by the bacterium Pseudomonas aeruginosa as a way of sabotaging microbes that compete with it for resources. When a pyocin identifies a rival bacterium, it kills the bacterium by punching a hole in the cell’s membrane. P. aeruginosa, frequently a cause of hospital-acquired illness, is found in soil, in water and on fresh produce. The germ is commonly studied and its biology is well understood.

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Only 10 years ago, scientists working on what they hoped would open a new frontier of neuromorphic computing could only dream of a device using miniature tools called memristors that would function/operate like real brain synapses.

But now a team at the University of Massachusetts Amherst has discovered, while on their way to better understanding protein , how to use these biological, electricity conducting filaments to make a neuromorphic memristor, or “memory transistor,” device. It runs extremely efficiently on very low power, as brains do, to carry signals between neurons. Details are in Nature Communications.

As first author Tianda Fu, a Ph.D. candidate in electrical and , explains, one of the biggest hurdles to neuromorphic computing, and one that made it seem unreachable, is that most conventional computers operate at over 1 volt, while the brain sends signals called action potentials between neurons at around 80 millivolts—many times lower. Today, a decade after early experiments, memristor voltage has been achieved in the range similar to conventional computer, but getting below that seemed improbable, he adds.

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O,.o circa 2007.

Theoretical physicists at the University of St. Andrews have created ‘incredible levitation effects’ by engineering the force of nature which normally causes objects to stick together by quantum force. By reversing this phenomenon, known as ‘Casimir force’, the scientists hope to solve the problem of tiny objects sticking together in existing novel nanomachines.

Professor Ulf Leonhardt and Dr Thomas Philbin of the University’s School of Physics & Astronomy believe that they can engineer the Casimir force of quantum physics to cause an object to repel rather than attract another in a vacuum.

Casimir force (discovered in 1948 and first measured in 1997) can be demonstrated in a gecko’s ability to stick to a surface with just one toe. However, it can cause practical problems in nanotechnology, and ways of preventing tiny objects from sticking to each other is the source of much interest.

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Scientists are one step closer to adapting the bacteria-killing power of a naturally occurring nanomachine, a tiny particle that performs a mechanical action.

In a study published in Nature, a UCLA-led team of researchers describe how the nanomachine recognizes and kills bacteria, and report that they have imaged it at atomic resolution. The scientists also engineered their own versions of the nanomachine, which enabled them to produce variations that behaved differently from the naturally occurring version.

Their efforts could eventually lead to the development of new types of antibiotics that are capable of homing in on specific species of microbes. Drugs tailored to kill only a certain species or strain of bacteria could offer numerous advantages over conventional antibiotics, including lowering the likelihood that bacteria will develop resistance. In addition, the tailored drugs could destroy harmful cells without wiping out beneficial bugs in the gut microbiome, and they could eventually offer the possibilities of being deployed to prevent bacterial infections, to kill pathogens in food and to engineer human microbiomes so that favorable bacteria thrive.

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Department of Engineering, Aarhus University, is coordinating a FET-Open backed project to build an entirely new AI hardware technology using nano-scale spintronics that can radically change the way in which computers work. The project will develop a neuromorphic computing system using synaptic neurons implemented in spintronics: a novel AI hardware that can set a framework for AI software in a physical system built like a human brain, upping computer performance by up to 100.000 times.

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