Lifeboat Foundation

Materials that can conduct negatively charged hydrogen atoms in ambient conditions could pave the way for advanced clean energy storage and electrochemical conversion technologies. A research team from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences (CAS) demonstrated a technique that enables a room-temperature all-solid-state hydride cell by introducing and exploiting defects in the lattice structure of rare earth hydrides. Their study was published in Nature on April 5.

Solid materials that conduct lithium, sodium and hydrogen cations have been used in batteries and fuel cells. Under certain conditions, some of the materials transition to superionic states where ions move as fast as they do in liquids by skipping through the rigid crystal structure. This phenomenon is advantageous for chemical and energy conversions as it allows ions to move without a liquid or soft membrane to separate the electrodes. However, few solid-state materials can reach this state under ambient conditions.

“Materials that exhibit superionic conduction at ambient conditions would provide huge opportunities for constructing brand new all-solid-state hydride batteries, fuel cells and electrochemical cells for the storage and conversion of clean energy,” said Prof. Chen Ping, study author from DICP.

^c Department of Chemical Biology, Xiamen University, Xiamen, 361,005, China.

The concept of xeno-nucleic acids (XNAs) was first proposed in 2009 in a theoretical paper, referring to additional types of nucleic acids, whose sugar moieties would differ from those in DNA and RNA. However, with the rising popularity of XNAs, the definition of XNAs has been extended to unnatural nucleic acids with chemically modified sugar, nucleobase, or phosphate moieties that are distinct from those found in DNA and RNA. The discovery and engineering of both polymerases and reverse transcriptases to synthesize, replicate and evolve a diverse range of XNAs has attracted significant attention and has enabled the discovery of XNA ligands (aptamers) and XNA catalysts (XNAzymes) as well as the synthesis of XNA nanostructures with potential as novel therapeutics. The field of XNAs continues to grow rapidly towards realizing the potential of XNAs in biotechnology and molecular medicine. This themed issue unites a collection of articles attesting to the rapid progress in the field.

One of the key advantages of XNAs is their generally enhanced resistance to nuclease degradation. This biostability, the affinity and specificity towards a target, and the general lack of immunogenicity of modified nucleic acids are critical for their potential application as therapeutics. Modified sugar moieties such as 2′-modified analogs, conformationally locked analogs, and threose-replaced analogs in particular contribute to the increased biological stability of XNAs against enzymatic degradation. Replacing the phosphodiester linkages with charge-neutral backbones including peptide-like backbones and triazole-linked backbones offers further opportunities to tune the stability, conformation and physicochemical properties of XNAs and enhance the affinity to their targets.

In an advance they consider a breakthrough in computational chemistry research, University of Wisconsin–Madison chemical engineers have developed model of how catalytic reactions work at the atomic scale. This understanding could allow engineers and chemists to develop more efficient catalysts and tune industrial processes—potentially with enormous energy savings, given that 90% of the products we encounter in our lives are produced, at least partially, via catalysis.

Catalyst materials accelerate chemical reactions without undergoing changes themselves. They are critical for refining petroleum products and for manufacturing pharmaceuticals, plastics, food additives, fertilizers, green fuels, industrial chemicals and much more.

Scientists and engineers have spent decades fine-tuning catalytic reactions—yet because it’s currently impossible to directly observe those reactions at the extreme temperatures and pressures often involved in industrial-scale catalysis, they haven’t known exactly what is taking place on the nano and atomic scales. This new research helps unravel that mystery with potentially major ramifications for industry.

The neuroscience study opens new avenues for understanding the brain’s role in learning and education. As researchers uncover more about the mechanisms underlying acquiring knowledge, educators can implement evidence-based strategies to enhance student outcomes. This blog post delves into the fascinating world of neuroscience, explores how the brain learns, and examines various learning theories and strategies informed by neuroscientific research.

Understanding the Basics of Neuroscience

Neuroscience refers to studying the nervous system, focusing on its role in behavior, cognition, and learning. The human brain, a complex organ, contains billions of neurons that transmit information through electrical and chemical signals. These neurons form networks, and the brain’s organization into different regions allows it to carry out specific functions.

New research from a team of scientists at the Cornell University Center for Bright Beams has made significant strides in developing new techniques to guide the growth of materials used in next-generation particle accelerators.

The study, published in the Journal of Physical Chemistry C, reveals the potential for greater control over the growth of superconducting Nb₃Sn films, which could significantly reduce the cost and size of cryogenic infrastructure required for superconducting technology.

Superconducting accelerator facilities, such as those used for X-ray free-electron laser radiation, rely on niobium superconducting radio frequency (SRF) cavities to generate high-energy beams. However, the associated cryogenic infrastructure, energy consumption, and operating costs of niobium SRF cavities limit access to this technology.

Researchers at the Laboratory of Organic Electronics, Linköping University, have together with colleagues at the Lawrence Berkeley National Laboratory in Berkeley, California, developed a method that increases the signal strength from microbial electrochemical cells by up to twenty times. The secret is a film with an embedded bacterium: Shewanella oneidensis.

Adding bacteria to electrochemical systems is often an environmentally sensitive means to convert chemical energy to electricity. Applications include water purification, bioelectronics, biosensors, and for the harvesting and storage of energy in fuel cells. One problem that miniaturisation of the processes has encountered is that a high signal strength requires large electrodes and a large volume of liquid.

Researchers at Linköping University, together with colleagues at the Lawrence Berkeley National Laboratory in Berkeley, California, USA, have now developed a method in which they embed the electroactive bacterium Shewanella oneidensis into PEDOT: PSS, an electrically conducting polymer, on a substrate of carbon felt.

Summary: Researchers present a new system that uses photons instead of chemical neurotransmitters to control neural activity.

Source: ICFO

Our brains are made of billions of neurons, which are connected forming complex networks. They communicate between themselves by sending electrical signals, known as action potentials, and chemical signals, known as neurotransmitters, in a process called synaptic transmission.

Deep within our brain’s temporal lobes, two almond-shaped cell masses help keep us alive. This tiny region, called the amygdala, assists with a variety of brain activities. It helps us learn and remember. It triggers our fight-or-flight response. It even promotes the release of a feel-good chemical called dopamine.

Scientists have learned all this by studying the amygdala over hundreds of years. But we still haven’t reached a full understanding of how these processes work.

Now, Cold Spring Harbor Laboratory neuroscientist Bo Li has brought us several important steps closer. His lab recently made a series of discoveries that show how neurons called somatostatin-expressing (Sst⁺) central amygdala (CeA) neurons help us learn about threats and rewards. He also demonstrated how these neurons relate to dopamine. The discoveries could lead to future treatments for anxiety or drug addiction.

The resulting materials could be used for capturing greenhouse gases.

MIT researchers have used a computational model to identify about 10,000 possible metal-organic framework MOF structures that they classify as “ultrastable.” These states make them good candidates for applications such as converting methane gas to methanol.

“When people come up with hypothetical MOF materials, they don’t necessarily know beforehand how stable that material is,” said in a statement published on Tuesday Heather Kulik, an MIT associate professor of chemistry and chemical engineering and the senior author of the study.