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Category: nanotechnology

How a Molecular Motor Minimizes Energy Waste

Turning a biologically important molecular motor at a constant rate saves energy, according to experiments.

Within every biological cell is an enzyme, called adenosine triphosphate (ATP) synthase, that churns out energy-rich molecules for fueling the cell’s activity. New experiments investigate the functioning of this “energy factory” by artificially cranking one of the enzyme’s molecular motors [1]. The results suggest that maintaining a fixed rotation rate minimizes energy waste caused by microscopic fluctuations. Future work could confirm the role of efficiency in the evolutionary design of biological motors.

ATP synthase consists of two rotating molecular motors, Fo and F1, that are oriented along a common rotation axis and locked together so that the rotation of Fo exerts a torque on the shaft in the middle of F1. The resulting motion within F1 helps bring together the chemical ingredients of the molecule ATP, which stores energy that can later be used in cellular processes.

Scientists reverse Alzheimer’s in mice using nanoparticles

A research team co-led by the Institute for Bioengineering of Catalonia (IBEC) and West China Hospital Sichuan University (WCHSU), working with partners in the UK, has demonstrated a nanotechnology strategy that reverses Alzheimer’s disease in mice.

Unlike traditional nanomedicine, which relies on nanoparticles as carriers for therapeutic molecules, this approach employs nanoparticles that are bioactive in their own right: “supramolecular drugs.” The work has been published in Signal Transduction and Targeted Therapy.

Instead of targeting neurons directly, the therapy restores the proper function of the blood-brain barrier (BBB), the vascular gatekeeper that regulates the brain’s environment. By repairing this critical interface, the researchers achieved a reversal of Alzheimer’s pathology in animal models.

Researchers integrate waveguide physics into metasurfaces for advanced light control

Ultrathin structures that can bend, focus, or filter light, metasurfaces are reshaping how scientists think about optics. These engineered materials offer precise control over lights behavior, but many conventional designs are held back by inefficiencies. Typically, they rely on local resonances within individual nanostructures, which often leak energy or perform poorly at wide angles. These shortcomings limit their usefulness in areas like sensing, nonlinear optics, and quantum technologies.

A growing area of research looks instead to nonlocal metasurfaces, where interactions between many elements create collective optical effects. These collective behaviors can trap light more efficiently, producing sharper resonances and stronger interactions with matter. One of the most promising possibilities in this field is the development of photonic flatbands, where resonant behavior stays uniform across a wide range of viewing angles.

Another is creating chiral responses, which allow devices to distinguish between left-and right-handed circularly polarized light. Until now, however, achieving both flatband and chiral behavior with high efficiency on a single platform has remained a major challenge.

From engines to nanochips: Physicists redefine how heat really moves

Heat has always been something we thought we understood. From baking bread to running engines, the idea seemed simple: heat spreads out smoothly, like water soaking through a sponge. That simple picture, written down by Joseph Fourier 200 years ago, became the foundation of modern science and engineering.

But zoom into the nanoscale—inside the chips that power your smartphone, AI hardware, or next-generation solar panels—and the story changes. Here, heat doesn’t just “diffuse.” It can ripple like , remember its past, or flow in elegant streams like a fluid in a pipe. For decades, scientists had pieces of this puzzle but no unifying explanation.

Now, researchers at Auburn University and the U.S. Department of Energy’s National Renewable Energy Laboratory have delivered what they call a “unified statistical theory of heat conduction.”

Fat particles could be key to treating metabolic brain disorders

Evidence challenging the long-held assumption that neuronal function in the brain is solely powered by sugars has given researchers new hope of treating debilitating brain disorders. A University of Queensland study led by Dr. Merja Joensuu and published in Nature Metabolism showed that neurons also use fats for fuel as they fire off the signals for human thought and movement.

“For decades, it was widely accepted that relied exclusively on glucose to fuel their functions in the brain,” Dr. Joensuu said. “But our research shows fats are undoubtedly a crucial part of the neuron’s in the brain and could be a key to repairing and restoring function when it breaks down.”

Dr. Joensuu from the Australian Institute for Bioengineering and Nanotechnology along with lab members Ph.D. candidate Nyakuoy Yak and Dr. Saber Abd Elkader from UQ’s Queensland Brain Institute set out to examine the relationship of a particular gene (DDHD2) to hereditary spastic paraplegia 54 (HSP54).

UMass Engineers Create First Artificial Neurons That Could Directly Communicate With Living Cells

A team of engineers at the University of Massachusetts Amherst has announced the creation of an artificial neuron with electrical functions that closely mirror those of biological ones. Building on their previous groundbreaking work using protein nanowires synthesized from electricity-generating bacteria, the team’s discovery means that we could see immensely efficient computers built on biological principles which could interface directly with living cells.

“Our brain processes an enormous amount of data,” says Shuai Fu, a graduate student in electrical and computer engineering at UMass Amherst and lead author of the study published in Nature Communications. “But its power usage is very, very low, especially compared to the amount of electricity it takes to run a Large Language Model, like ChatGPT.”

The human body is over 100 times more electrically efficient than a computer’s electrical circuit. The human brain is composed of billions of neurons, specialized cells that send and receive electrical impulses all over the body. While it takes only about 20 watts for your brain to, say, write a story, a LLM might consume well over a megawatt of electricity to do the same task.

First Artificial Neurons That Might Communicate With Living Cells

A team of engineers at the University of Massachusetts Amherst has announced the creation of an artificial neuron with electrical functions that closely mirror those of biological ones. Building on their previous groundbreaking work using protein nanowires synthesized from electricity-generating bacteria, the team’s discovery means that we could see immensely efficient computers built on biological principles which could interface directly with living cells.

“Our brain processes an enormous amount of data,” says Shuai Fu, a graduate student in electrical and computer engineering at UMass Amherst and lead author of the study published in Nature Communications. “But its power usage is very, very low, especially compared to the amount of electricity it takes to run a Large Language Model, like ChatGPT.”

The human body is over 100 times more electrically efficient than a computer’s electrical circuit. The human brain is composed of billions of neurons, specialized cells that send and receive electrical impulses all over the body. While it takes only about 20 watts for your brain to, say, write a story, a LLM might consume well over a megawatt of electricity to do the same task.

Concrete ‘battery’ now packs 10 times the power

Concrete already builds our world, and now it’s one step closer to powering it, too. Made by combining cement, water, ultra-fine carbon black (with nanoscale particles), and electrolytes, electron-conducting carbon concrete (ec3, pronounced “e-c-cubed”) creates a conductive “nanonetwork” inside concrete that could enable everyday structures like walls, sidewalks, and bridges to store and release electrical energy. In other words, the concrete around us could one day double as giant “batteries.”

As MIT researchers report in a new PNAS paper, optimized electrolytes and manufacturing processes have increased the capacity of the latest ec3 supercapacitors by an order of magnitude.

In 2023, storing enough energy to meet the daily needs of the average home would have required about 45 cubic meters of ec3, roughly the amount of concrete used in a typical basement. Now, with the improved , that same task can be achieved with about 5 cubic meters, the volume of a typical basement wall.

AI-generated nanomaterial images fool even experts, study shows

Black-and-white images of pom-pom–like clusters, semi-translucent fields of tiny dark gray stars on a pale background, and countless other abstract patterns are a familiar sight in scientific papers describing the shapes and properties of newly engineered materials.

So, when research images show particles that resemble puffed popcorn or perfectly smooth “Tic Tacs,” it might not trigger our AI suspicion radar, but researchers in a recent study caution otherwise.

Microscopy images are indispensable in nanomaterials science, as they reveal the hidden intricacies and fascinating shapes that tiny particles assume, which appear to be a pile of dust to the naked eye.

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