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The University of Liverpool has created a hybrid nanoreactor that uses sunlight to produce hydrogen efficiently, offering a sustainable and cost-effective alternative to traditional photocatalysts.

The University of Liverpool has announced a major breakthrough in engineering biology and clean energy. Researchers have developed a groundbreaking light-powered hybrid nanoreactor that combines the natural efficiency of biological processes with the precision of synthetic design to produce hydrogen, a clean and renewable energy source.

Detailed in ACS Catalysis, the study introduces an innovative solution to a longstanding challenge in solar energy utilization for fuel production. While nature’s photosynthesis systems excel at harnessing sunlight, artificial systems have historically fallen short. This new approach to artificial photocatalysis represents a significant step forward in bridging that performance gap.

But when, where and how that could come to pass is hard to predict — in part, some researchers say, because of guardrails the federal government has placed around gain-of-function research.

The term describes experiments that seek to understand a virus’ potential to adapt to new hosts, spread more easily, survive longer in the environment and cause those infected to become sicker. Though many scientists view the approach as a critical tool for conducting biological research, other experts have long complained that it’s unacceptably risky — a reputation exacerbated by persistent speculation that the virus responsible for the COVID-19 pandemic was created in gain-of-function experiments in a laboratory in Wuhan, China.

Quantum sensing is a rapidly developing field that utilizes the quantum states of particles, such as superposition, entanglement, and spin states, to detect changes in physical, chemical, or biological systems. A promising type of quantum nanosensor is nanodiamonds (NDs) equipped with nitrogen-vacancy (NV) centers. These centers are created by replacing a carbon atom with nitrogen near a lattice vacancy in a diamond structure.

When excited by light, the NV centers emit photons that maintain stable spin information and are sensitive to external influences like magnetic fields, electric fields, and temperature. Changes in these spin states can be detected using optically detected (ODMR), which measures fluorescence changes under .

In a recent breakthrough, scientists from Okayama University in Japan developed nanodiamond sensors bright enough for bioimaging, with spin properties comparable to those of bulk diamonds. The study, published in ACS Nano, on 16 December 2024, was led by Research Professor Masazumi Fujiwara from Okayama University, in collaboration with Sumitomo Electric Company and the National Institutes for Quantum Science and Technology.

A new theory related to the second law of thermodynamics describes the motion of active biological systems ranging from migrating cells to traveling birds.

In 1944, Erwin Schrödinger published the book What is life? [1]. Therein, he reasoned about the origin of living systems by using methods of statistical physics. He argued that organisms form ordered states far from thermal equilibrium by minimizing their own disorder. In physical terms, disorder corresponds to positive entropy. Schrödinger thus concluded: “What an organism feeds upon is negative entropy […] freeing itself from all the entropy it cannot help producing while alive.” This statement poses the question of whether the second law of thermodynamics is valid for living systems. Now Benjamin Sorkin at Tel Aviv University, Israel, and colleagues have considered the problem of entropy production in living systems by putting forward a generalization of the second law [2].

Scientists know biological neurons are more complex than the artificial neurons employed in deep learning algorithms, but it’s an open question just how much more complex.

In a fascinating paper published recently in the journal Neuron, a team of researchers from the Hebrew University of Jerusalem tried to get us a little closer to an answer. While they expected the results would show biological neurons are more complex—they were surprised at just how much more complex they actually are.

In the study, the team found it took a five-to eight-layer neural network, or nearly 1,000 artificial neurons, to mimic the behavior of a single biological neuron from the brain’s cortex.

Aubrey de Grey and Josh Mitteldrof, two big names of the aging field, discuss their diverging views regarding the nature of aging: is it programed or not?

Host: Nicolás Cherñavsky.
Production: Nicolás Cherñavsky and Nina Torres Zanvettor.
Editing: Nina Torres Zanvettor.
Revision and subtitling: Nicolás Cherñavsky.

Heales website (Healthy Life Extension Society): https://heales.org/

Contact e-mail: [email protected].

Westlake University in China and the California Institute of Technology have designed a protein-based system inside living cells that can process multiple signals and make decisions based on them.

The researchers have also introduced a unique term, “perceptein,” as a combination of protein and perceptron. Perceptron is a foundational artificial neural network concept, effectively solving binary classification problems by mapping input features to an output decision.

By merging concepts from neural network theory with , “perceptein” represents a biological system capable of performing classification computations at the protein level, similar to a basic artificial neural network. This “perceptein” circuit can classify different signals and respond accordingly, such as deciding to stay alive or undergo programmed cell death.

Researchers at Rice University have made a meaningful advance in the simulation of molecular electron transfer—a fundamental process underpinning countless physical, chemical and biological processes. The study, published in Science Advances, details the use of a trapped-ion quantum simulator to model electron transfer dynamics with unprecedented tunability, unlocking new opportunities for scientific exploration in fields ranging from molecular electronics to photosynthesis.

Electron transfer, critical to processes such as cellular respiration and energy harvesting in plants, has long posed challenges to scientists due to the complex quantum interactions involved. Current computational techniques often fall short of capturing the full scope of these processes. The multidisciplinary team at Rice, including physicists, chemists and biologists, addressed these challenges by creating a programmable quantum system capable of independently controlling the key factors in : donor-acceptor energy gaps, electronic and vibronic couplings and environmental dissipation.

Using an ion crystal trapped in a vacuum system and manipulated by , the researchers demonstrated the ability to simulate real-time spin dynamics and measure transfer rates across a range of conditions. The findings not only validate key theories of quantum mechanics but also pave the way for novel insights into light-harvesting systems and molecular devices.

Summary: Researchers identified variants in the DDX53 gene, located on the X chromosome, as contributors to autism spectrum disorder (ASD). These genetic variants, found predominantly in males, provide critical insights into the biological mechanisms behind autism’s male predominance.

The study also uncovered another potential gene, PTCHD1-AS, near DDX53, linked to autism, emphasizing the complexity of ASD’s genetic architecture. This research highlights the importance of the X chromosome in ASD and opens avenues for more precise diagnostics and therapeutics.

The findings challenge current models, urging a re-evaluation of how autism is studied. These discoveries mark a significant step in understanding the genetic underpinnings of autism.