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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.

Neuropsychiatric symptoms in cognitive decline and Alzheimer’s disease: biomarker discovery using plasma proteomics

Placental toxicology progress!

Commonly used in vitro and in vivo placental models capture key placental functions and toxicity mechanisms, but have significant limitations.

The physiological relevance of placental models varies, with a general hierarchy of simple in vitro complex in vitro/ organ-on-chip in vivo, but species-of origin considerations may alter their relevance to human physiology.

Cellular, rodent, human, and computational modeling systems provide insights into placental transport, physiology, and toxicology linked to maternal–fetal health.

Recent advances in 3D culture and microfluidic technologies offer more physiologically relevant models for studying the placenta.

Mathematical modeling approaches can integrate mechanistic physiological data and exposure assessments to define key toxicokinetic parameters.

Environmental chemical concentrations and omic data obtained from placental tissues can link toxicant influences on placental function to adverse birth outcomes.

Nature-inspired ‘POMbranes’ could transform water recycling in textile and pharma industries

Scientists have collaborated to develop a new class of highly precise filtration membranes. The research, published in the Journal of the American Chemical Society, could significantly reduce energy consumption and enable large-scale water reuse in industry. The team includes researchers from the CSIR-Central Salt and Marine Chemicals Research Institute (CSMCRI), Indian Institute of Technology Gandhinagar, the Nanyang Technological University, Singapore, and the S N Bose National Centre for Basic Sciences.

Everyday industrial processes, like purifying medicines, cleaning textile dyes, and processing food, rely on “separations.” Currently, these processes are incredibly energy-hungry, accounting for nearly 40% to 50% of all global industrial energy use. Most factories still use old-fashioned methods like distillation and evaporation to separate ingredients, which are expensive and leave a heavy carbon footprint.

Although membrane-based technologies are considered cleaner, most polymer membranes currently used in industry have irregularly sized pores that tend to degrade over time, limiting their effectiveness. Thus, they lack the precision and long-term stability needed for demanding industrial applications.

New treatment for drug-resistant fungal infections

Infections caused by Cryptococcus are extremely dangerous. The pathogen, which can cause pneuomia-like symptoms, is notoriously drug-resistant, and it often preys on people with weakened immune systems, like cancer patients or those living with HIV. And the same can be said about other fungal pathogens, like Candida auris or Aspergillus fumigatus — both of which, like Cryptococcus, have been declared priority pathogens by the World Health Organization.

Despite the threat, though, doctors have only three treatment options for fungal infections.

The gold standard is a drug class called amphotericin but has major toxic side-effects on humans.

The other two antifungal drug classes that are available — azoles and echinocandins — are much less effective treatment options, especially against Cryptococcus. The author says azoles merely stop fungi from growing rather than outright killing them, while Cryptococcus and other fungi have become totally resistant to echinocandins, rendering them completely ineffective.

“Adjuvants are helper molecules that don’t actually kill pathogens like drugs do, but instead make them extremely susceptible to existing medicine,” explains the author.

Looking for adjuvants that might better sensitize Cryptococcus to existing antifungal drugs, the lab screened vast chemical collection for candidate molecules.

Quickly, the team found a hit: butyrolactol A, a known-but-previously understudied molecule produced by certain Streptomyces bacteria. The researchers found that the molecule could synergize with echinocandin drugs to kill fungi that the drugs alone could not.

Plant Discovery Could Transform How Medicines Are Made

Plants produce protective chemicals called alkaloids as part of their natural defenses. People have used these compounds for a long time, including in pain relief medicines, treatments for various diseases, and familiar household products such as caffeine and nicotine.

Scientists want to learn exactly how plants build alkaloids. With that knowledge, they hope to create new and improved medicine-related chemicals faster, at lower cost, and with less harm to the environment.

In a study at the University of York, researchers examined a plant called Flueggea suffruticosa, which makes an especially strong alkaloid known as securinine. As they traced how securinine is produced, the team found a surprise: a key step depends on a gene that resembles bacterial genes more than typical plant genes.

NASA supercomputer just predicted Earth’s hard limit for life

Scientists have used a NASA-grade supercomputer to push our planet to its limits, virtually fast‑forwarding the clock until complex organisms can no longer survive. The result is a hard upper bound on how long Earth can sustain breathable air and liquid oceans, and it is far less about sudden catastrophe than a slow suffocation driven by the Sun itself. The work turns a hazy, far‑future question into a specific timeline for the end of life as we know it.

Instead of fireballs or rogue asteroids, the simulations point to a world that quietly runs out of oxygen, with only hardy microbes clinging on before even they disappear. It is a stark reminder that Earth’s habitability is not permanent, yet it also stretches over such vast spans of time that our immediate crises still depend on choices made this century, not on the Sun’s distant evolution.

The new modeling effort starts from a simple premise: if I know how the Sun brightens over time and how Earth’s atmosphere responds, I can calculate when conditions for complex life finally fail. Researchers fed a high‑performance system with detailed physics of the atmosphere, oceans and carbon cycle, then let it run through hundreds of thousands of scenarios until the planet’s chemistry tipped past a critical point. One study describes a supercomputer simulation that projects life on Earth ending in roughly 1 billion years, once rising solar heat strips away most atmospheric oxygen.

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