Lifeboat Foundation

The demand for lithium, essential for powering sustainable technologies, is rising quickly, yet current methods leave up to 75% of the world’s lithium-rich saltwater sources inaccessible.

With some predicting global lithium supply could fall short of demand as early as 2025, the innovative technology – EDTA-aided loose nanofiltration (EALNF) – sets a new standard in lithium processing. The technology uniquely extracts both lithium and magnesium simultaneously, unlike traditional methods that treat magnesium salts as waste, making it smarter, faster and more sustainable.

The work, co-led by Dr Zhikao Li, from the Monash Suzhou Research Institute and the Department of Chemical and Biological Engineering, and Professor Xiwang Zhang from the University of Queensland, promises to meet the surging demand for lithium and paves the way for more sustainable and efficient extraction practices.

The reason? While sunny regions naturally provide enough light to grow crops, areas with colder winters often need grow lights and greenhouses part of the year. This increases energy consumption, logistical headaches, and ultimately, food costs.

In their paper, Jiao and colleagues argue for a new method that could dramatically revamp farming practices to reduce land use and greenhouse gas emissions.

Dubbed “electro-agriculture,” the approach uses solar panels to trigger a chemical reaction that turns ambient CO₂ into an energy source called acetate. Certain mushrooms, yeast, and algae already consume acetate as food. With a slight genetic tweak, we could also engineer other common foods such as grains, tomatoes, or lettuce to consume acetate.

Absorption of light initiates many natural and artificial chemical processes, for example, photosynthesis in plants, human vision, or even 3D printing. Until now, it seemed impossible to control a light-driven chemical reaction at the atomic scale, where only a specific part of one molecule is addressed.

An innovative method now allows DNA to store information as a binary code — the same strings of 0s and 1s used by standard computers.

‘Bricks’ of DNA, some of which have chemical tags, could one day be an alternative to storing information electronically.

Science laboratories across disciplines—chemistry, biochemistry and materials science—are on the verge of a sweeping transformation as robotic automation and AI lead to faster and more precise experiments that unlock breakthroughs in fields like health, energy and electronics.

This is according to UNC-Chapel Hill researchers in a paper titled “Transforming Science Labs into Automated Factories of Discovery,” published in Science Robotics.

“Today, the development of new molecules, materials and chemical systems requires intensive human effort,” said Dr. Ron Alterovitz, senior author of the paper and Lawrence Grossberg Distinguished Professor in the Department of Computer Science. “Scientists must design experiments, synthesize materials, analyze results and repeat the process until desired properties are achieved.”

“Through our simulated impacts, we found that the pure water froze too quickly in a vacuum to effect meaningful change, but salt and water mixtures, or brines, stayed liquid and flowing for a minimum of one hour,” said Dr. Michael J. Poston.

How does extra salty water, also known as briny water, form and evolve on worlds without atmospheres, such as asteroids and moons? This is what a recent study published in The Planetary Science Journal hopes to address as a team of researchers investigated how briny water could still flow for a period of time on the asteroid Vesta after large impacts resulted in the melting of subsurface ice. This study holds the potential to help researchers better understand the geological and chemical processes on planetary bodies without atmospheres and what this could mean for finding life as we know it.

“We wanted to investigate our previously proposed idea that ice underneath the surface of an airless world could be excavated and melted by an impact and then flow along the walls of the impact crater to form distinct surface features,” said Dr. Jennifer Scully, who is a planetary geologist at NASA’s Jet Propulsion Laboratory (JPL) and a co-author on the study.

Continue reading “Unlocking the Mysteries of Celestial Flow Features” »

Large meteorite impacts must have strongly affected the habitability of the early Earth. Rocks of the Archean Eon record at least 16 major impact events, involving bolides larger than 10 km in diameter. These impacts probably had severe, albeit temporary, consequences for surface environments. However, their effect on early life is not well understood. Here, we analyze the sedimentology, petrography, and carbon isotope geochemistry of sedimentary rocks across the S2 impact event (37 to 58 km carbonaceous chondrite) forming part of the 3.26 Ga Fig Tree Group, South Africa, to evaluate its environmental effects and biological consequences.

Scientists have synthesized an isotope of the superheavy element livermorium using a novel fusion reaction. The result paves the way for the discovery of new chemical elements.

How and where in the Universe are the chemical elements created? How can we explain their relative abundance? What is the maximum number of protons and neutrons that the nuclear force can bind in a single nucleus? Nuclear physicists and chemists expect to find answers to such questions by creating and studying new elements. But as elements get more and more massive, they become harder and harder to synthesize. The heaviest elements discovered so far were created by bombarding high-atomic-number (high-Z) actinide targets with beams of calcium-48 (⁴⁸ Ca). This isotope is particularly suited to such experiments because of its peculiar nuclear configuration, in which the number of neutrons and protons are both “magic numbers.” Yet this approach could not produce elements beyond oganesson (proton number, Z = 118).

A new method for studying the behavior of multiparticle systems relies on a simple “head count” of particles in imaginary boxes.

One way to characterize the interactions in a bacterial colony or a polymer mixture is to trace the path of individual particles through the system, but such tracking can become difficult when the particles are indistinguishable. Researchers have developed a new method that extracts particle dynamics from a simple counting of particles in imaginary boxes of adjustable size [1]. They demonstrated this “countoscope” strategy in experiments with small plastic spheres moving around in a liquid. The measured rate of diffusion was different for different sized boxes, which revealed particle clumping. The countoscope’s ability to identify such collective behavior could one day help researchers understand the mechanisms that cause bacteria and other life forms to group together.

Biologists, chemists, and soft-matter physicists often study many-particle systems in which the particles shuffle around each other in a “random walk.” A useful measure of this behavior is the diffusion constant, which describes how fast an individual particle moves. A measurement of the diffusion constant can tell a biologist whether cells are healthy or sick, or it can tell a chemist how fast a molecule will move through a gel in a chemical-analysis device. The diffusion constant is typically determined by following the path of a single particle in a video recording. This trajectory reconstruction becomes difficult, however, when the particles are numerous and all look the same, says Sophie Marbach from Sorbonne University in France.