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Revolutionary ‘Lab-on-a-drone’ system detects airborne pollutants in real time.

In a significant stride towards better understanding and combating air pollution, researchers have unveiled an innovative “lab-on-a-drone” system. Published in the American Chemical Society’s journal, Analytical Chemistry.

Credit: Naypong/iStock.

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For eons, deoxyribonucleic acid (DNA) has served as a sort of instruction manual for life, providing not just templates for a vast array of chemical structures but a means of managing their production.

In recent years engineers have explored a subtly new role for the molecule’s unique capabilities, as the basis for a biological computer. Yet in spite of the passing of 30 years since the first prototype, most DNA computers have struggled to process more than a few tailored algorithms.

A team researchers from China has now come up with a DNA integrated circuit (DIC) that’s far more general purpose. Their liquid computer’s gates can form an astonishing 100 billion circuits, showing its versatility with each capable of running its own program.

Using laser light, researchers have developed the most robust method currently known to control individual qubits made of the chemical element barium. The ability to reliably control a qubit is an important achievement for realizing future functional quantum computers.

The paper, “A guided light system for agile individual addressing of Ba⁺ qubits with 10⁻⁴ level intensity crosstalk,” was published in Quantum Science and Technology.

This new method, developed at the University of Waterloo’s Institute for Quantum Computing (IQC), uses a small glass waveguide to separate laser beams and focus them four microns apart, about four-hundredths of the width of a single human hair. The precision and extent to which each focused laser beam on its target qubit can be controlled in parallel is unmatched by previous research.

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Predicting smells is more difficult. While we know that many sulfur-containing molecules tend to fall somewhere in the ‘rotten egg’ or ‘skunky’ category, predicting other aromas based solely on a chemical structure is hard. Molecules with a similar chemical structure may smell quite different—while two molecules with very different chemical structures can smell the same.

A team of scientists with the Department of Energy’s Oak Ridge National Laboratory has investigated the behavior of hafnium oxide, or hafnia, because of its potential for use in novel semiconductor applications.

Materials such as hafnia exhibit ferroelectricity, which means that they are capable of extended data storage even when power is disconnected and that they might be used in the development of new, so-called nonvolatile memory technologies. Innovative nonvolatile memory applications will pave the way for the creation of bigger and faster computer systems by alleviating the heat generated from the continual transfer of data to short-term memory.

The scientists explored whether the atmosphere plays a role in hafnia’s ability to change its internal electric charge arrangement when an external electric field is applied. The goal was to explain the range of unusual phenomena that have been obtained in hafnia research. The team’s findings were recently published in Nature Materials. The title of the paper is “Ferroelectricity in hafnia controlled via surface electrochemical state.”

Scientists have shown that the biomass of 12 previously unstudied strains of cyanobacteria from around the globe is efficient at the biosorption of the rare earth elements lanthanum, cerium, neodymium, and terbium from aqueous solutions. This allows these rare elements, for which demand is steadily growing, to be collected from wastewater from mining, metallurgy, and the recycling of e-waste, and reused.

Rare earth elements (REEs) are a group of 17 chemically similar metals, which got their name because they typically occur at low concentrations (between 0.5 and 67 parts per million) within the Earth’s crust. Because they are indispensable in modern technology such as light emitting diodes, mobile phones, electromotors, wind turbines, hard disks, cameras, magnets, and low-energy lightbulbs, the demand for them has increased steadily over the past few decades, and is predicted to rise further by 2030.

Researchers unravel the mysteries of smell using machine learning. Their AI model has achieved human-level skill in describing how certain chemicals will smell, closing a critical gap in the scientific understanding of olfaction.

Beyond advancing our comprehension of smell, this technology could lead to breakthroughs in the fragrance and flavor industries, and even help create new functional scents like mosquito repellents. The study validates a first-of-its-kind data-driven map of human olfaction, which correlates chemical structure to odor perception.

Summary: Researchers unravel the mysteries of smell using machine learning. Their AI model has achieved human-level skill in describing how certain chemicals will smell, closing a critical gap in the scientific understanding of olfaction.

Defying conventional wisdom, scientists have discovered a novel coupling mechanism involving leaky mode, previously considered unsuitable for high-density integration in photonic circuits.

This surprising discovery paves the way for dense photonic integration, transforming the potential and scalability of photonic chips in areas such as optical computing quantum communication, light detection and ranging (LiDAR), optical metrology, and biochemical sensing.

In a recent Light Science & Application publication, Sangsik Kim, associate professor of electrical engineering at Korea Advanced Institute of Science and Technology (KAIST), and his students at Texas Tech University demonstrated that an anisotropic leaky wave can achieve zero crosstalk between closely spaced identical waveguides using subwavelength grating (SWG) metamaterials.

Scientists at the Indian Institute of Science (IISc) have developed a new approach to potentially detect and kill cancer cells, especially those that form a solid tumor mass. They have created hybrid nanoparticles made of gold and copper sulfide that can kill cancer cells using heat and enable their detection using sound waves, according to a study published in ACS Applied Nano Materials.

Early detection and treatment are key in the battle against cancer. Copper sulfide nanoparticles have previously received attention for their application in cancer diagnosis, while gold nanoparticles, which can be chemically modified to target cancer cells, have shown anticancer effects. In the current study, the IISc team decided to combine these two into hybrid nanoparticles.

“These particles have photothermal, oxidative stress, and photoacoustic properties,” says Jaya Prakash, Assistant Professor at the Department of Instrumentation and Applied Physics (IAP), IISc, and one of the corresponding authors of the paper. Ph.D. students Madhavi Tripathi and Swathi Padmanabhan are co-first authors.