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Growth chambers could enable reproducible plant-microbe data across continents

Harnessing the power of artificial intelligence to study plant microbiomes—communities of microbes living in and around plants—could help improve soil health, boost crop yields, and restore degraded lands. But there’s a catch: AI needs massive amounts of reliable data to learn from, and that kind of consistent information about plant-microbe interactions has been hard to come by.

In a new paper in PLOS Biology, researchers in the Biosciences Area at Lawrence Berkeley National Laboratory (Berkeley Lab) led an international consortium of scientists to study whether small plastic growth chambers called EcoFABs could help solve this problem.

Building on their previous work with microbe-free plants, the scientists used the Berkeley Lab-developed devices to run identical plant–microbe experiments across labs on three continents and got matching results. The breakthrough shows that EcoFABs can remove one of the biggest barriers in microbiome research: the difficulty of reproducing experiments in different places.

Study reveals why light-driven chemical reactions often lose energy before bond-breaking

Florida State University researchers have discovered a pathway within a certain type of molecule that limits chemical reactions by redirecting light energy. The study could enable development of more efficient reactions for pharmaceuticals and other products.

The researchers examined ligand-to-metal photocatalysts. Ligands are a molecule bound to a larger molecule; in this case, to a metal. Photocatalysts are materials that use light to accelerate a chemical reaction. Theoretically, these molecules should be readily able to harness light energy toward chemical reactivity. But in experiments, chemists only found inefficient reactions.

The FSU research, published in the Journal of the American Chemical Society, shows why: The molecule quickly moves into a less energetic state before the absorbed energy can break chemical bonds. The energy is drained too quickly into the wrong place, so bond-breaking is limited.

Molecular surgery: ‘Deleting’ a single atom from a molecule

Inserting, removing or swapping individual atoms from the core of a molecule is a long-standing challenge in chemistry. This process, called skeletal editing, can dramatically speed up drug discovery or be applied for upcycling of plastics. Consequently, the field is witnessing a surge of interest spanning from fundamental chemical research to applications in the pharmaceutical industry.

A group of researchers have now extended the scope of skeletal editing to the scale of just a single molecule. Such a level of precision in skeletal editing is unprecedented, and this may open a new route to obtain elusive molecules.

The team of researchers are active at Chalmers University of Technology, Sweden; IBM Research Europe—Zurich, Switzerland; and CiQUS at the University of Santiago de Compostela, Spain. In a recent article published in the Journal of the American Chemical Society, they demonstrate how, in a controlled manner, they can selectively remove a single oxygen atom from an organic molecule using the sharp tip of a scanning probe microscope.

Single enzyme streamlines production of all four RNA building blocks

A single enzyme that can generate all four nucleoside triphosphates, the building blocks of ribonucleic acid (RNA), has been identified by researchers at the Institute of Science Tokyo. The study was published online in the journal Nature Communications.

By using polyphosphate as a phosphate donor, the enzyme efficiently converts inexpensive nucleotide precursors into the active forms required for RNA synthesis. Overall, the method dramatically simplifies the process of nucleotide production—offering a low-cost, efficient option for the in vitro synthesis of RNA.

Magnetic ‘sweet spots’ enable optimal operation of hole spin qubits

Quantum computers, systems that process information leveraging quantum mechanical effects, could reliably tackle various computational problems that cannot be solved by classical computers. These systems process information in the form of qubits, units of information that can exist in two states at once (0 and 1).

Hole spins, the intrinsic angular momentum of holes (i.e., missing electrons in semiconductors that can be trapped in nanoscale regions called quantum dots), have been widely used as qubits. These spins can be controlled using electric fields, as they are strongly influenced by a quantum effect known as spin-orbit coupling, which links the motion of particles to their magnetism.

Unfortunately, due to this spin-orbit coupling, hole spin qubits are also known to be highly vulnerable to noise, including random electrical disturbances that can prompt decoherence. This in turn can result in the loss of valuable quantum information.

Experiment clarifies cosmic origin of rare proton-rich isotope selenium-74

Researchers have reported new experimental results addressing the origin of rare proton-rich isotopes heavier than iron, called p-nuclei. Led by Artemis Tsantiri, then-graduate student at the Facility for Rare Isotope Beams (FRIB) and current postdoctoral fellow at the University of Regina in Canada, the study presents the first rare isotope beam measurement of proton capture on arsenic-73 to produce selenium-74, providing new constraints on how the lightest p-nucleus is formed and destroyed in the cosmos.

The team published the results in Physical Review Letters in a paper titled “Constraining the Synthesis of the Lightest Nucleus 74 Se”. The work involved more than 45 participants from 20 institutions in the United States, Canada, and Europe.

A central question in nuclear astrophysics concerns how and where chemical elements are formed. The slow and rapid neutron-capture processes account for many intermediate-mass and heavy nuclei beyond iron through repeated neutron captures followed by radioactive decays until stable isotopes are reached.

AI method advances customized enzyme design

Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesize chemicals in a more environmentally friendly way, produce active ingredients in a targeted manner or break down environmentally harmful substances.

Researchers from Gustav Oberdorfer’s working group at the Institute of Biochemistry at Graz University of Technology (TU Graz), together with colleagues from the University of Graz, have now published a study in Nature describing a new method for the design of customized enzymes.

The technology called Riff-Diff (Rotamer Inverted Fragment Finder–Diffusion) makes it possible to accurately and efficiently build the protein structure specifically around the active center instead of searching for a suitable structure from existing databases. The resulting enzymes are not only significantly more active than previous artificial enzymes, but also more stable.

Entangled atomic clouds enable more precise quantum measurements

Researchers at the University of Basel and the Laboratoire Kastler Brossel have demonstrated how quantum mechanical entanglement can be used to measure several physical parameters simultaneously with greater precision.

Entanglement is probably the most puzzling phenomenon observed in quantum systems. It causes measurements on two quantum objects, even if they are at different locations, to exhibit statistical correlations that should not exist according to classical physics—it’s almost as if a measurement on one object influences the other one at a distance.

The experimental demonstration of this effect, also known as the Einstein-Podolsky-Rosen paradox, was awarded the 2022 Nobel Prize in physics.

3D-printed surfaces help atoms play ball to improve quantum sensors

Scientists have created 3D printed surfaces featuring intricate textures that can be used to bounce unwanted gas particles away from quantum sensors, allowing useful particles like atoms to be delivered more efficiently, which could help improve measurement accuracy.

The researchers from the University of Nottingham’s School of Physics and Astronomy created intricate, fine-scale surface textures that preferentially bounce incident particles in particular directions. This can help to keep unwanted particles out of the way. The team demonstrated this by applying it to a surface-based vacuum pump and tripled the rate at which it removed nuisance gas particles.

The study, “Exploiting complex 3D-printed surface structures for portable quantum technologies,” is published in the journal Physical Review Applied.

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