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Why this $10 spectrometer chip could bring real-time chemical sensing to wearables

Researchers from the University of Cambridge and GlitterinTech, a startup founded by the same research group, have unveiled a fundamentally new type of optical spectrometer that delivers laboratory-grade precision in a device small enough to be embedded in portable and wearable technologies. By rethinking how spectra are measured and processed, the team has demonstrated a spectrometer costing only around $10, operating at a centimeter scale, and capable of applications ranging from industrial quality control to real-time health care monitoring.

Optical spectrometers underpin countless technologies, from chemical analysis and manufacturing to environmental sensing and medicine. Yet shrinking these instruments has historically involved painful trade-offs: Miniaturized devices typically sacrifice bandwidth, resolution or accuracy, limiting them to rough identification rather than true metrological measurements. The newly reported convolutional spectrometer overcomes these barriers by introducing a conceptually elegant operating principle grounded in the convolution theorem, offering unprecedented performance metrics compared with existing dispersive, Fourier-transform and reconstructive spectrometers.

Chemists unlock first total synthesis of rare plant alkaloid tied to anticancer activity

Plants are undeniably one of nature’s most promising sources of new medicines, with monoterpenoid indole alkaloids (MIAs) being a great example. Some intricate compounds are built from multiple-linked chemical units that form highly complex three-dimensional structures. Because of their size and shape, scientists believe such oligomeric MIAs may be able to interfere with specific protein–protein interactions inside cells—a biological target that conventional small-molecule drugs often struggle to reach.

This unusual capability could make MIAs uniquely suited to combat various diseases. Such is the case for bisleuconothine A, an MIA isolated from plant bark in 2010 that has shown strong activity against breast cancer and lung cancer.

Despite their therapeutic potential, these compounds are extremely difficult to produce synthetically in the laboratory. Their structures contain multiple interconnected rings and several precisely arranged stereocenters, meaning their atoms must be assembled in the correct three-dimensional orientation to preserve their biological activity. Because of this, drug development research involving oligomeric MIAs remains limited.

Ancient hominins selected basalt sources for specific tools nearly 800,000 years ago, study reveals

A new study finds that ancient hominins nearly 800,000 years ago deliberately selected specific basalt sources for different stages of tool production rather than simply using whatever stone was available nearby. By tracing the geochemical “fingerprints” of stone tools to both exposed and now-buried basalt flows, the researchers demonstrated that these hominins possessed detailed environmental knowledge, advanced planning abilities, and long-term technological traditions that were maintained and repeated across generations.

A new study published in Scientific Reports provides new insights into the technological behavior and raw material procurement strategies of early Middle Pleistocene hominins at the Acheulian site of Gesher Benot Ya’aqov (GBY). The study uses geochemical analyses of basalt artifacts and nearby basalt sources to trace where the raw material used for tool production came from and to reconstruct how early hominins selected stone within a landscape that has changed dramatically over time. The research was carried out by Dr. Tzahi Golan and Dr. Yoav Ben Dor of the Geological Survey of Israel, and Prof. Naama Goren-Inbar of the Hebrew University of Jerusalem.

GBY, dated to about 780,000 years ago, preserves repeated occupations of Acheulian hominins along the shores of paleo-Lake Hula. Excavations directed by Prof. Goren-Inbar revealed a rich archaeological record, including stone tools made of flint, limestone and basalt, as well as evidence of fire use, plant exploitation, animal processing and fish consumption.

Organic transistor unites memory, signal processing and light emission below 3.5 V

Seoul National University researchers have developed an ultra-low-voltage electrochemical organic light-emitting transistor that can simultaneously perform signal processing, memory and light emission within a single semiconductor device. By introducing an ion-transport enhancer into the light-emitting polymer semiconductor channel, the team enabled electric-double-layer formation at the drain electrode interface, allowing efficient electron injection without relying on the high voltages or unstable n-type doping used in conventional approaches.

As a result, the device maintained a simple single-active-layer structure while achieving both low-voltage operation and wide, spatially pinned light emission, together with neuromorphic signal-processing functionality.

The work is published in the journal Nature Materials.

Neutron star merger simulations gain new precision with AI-driven r-process heating

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as neutron star mergers. For the first time, the scientists used deep learning with a neural network to model the energy release during r-process nucleosynthesis in hydrodynamic simulations. The results are published in the journal Physical Review D.

Many of the chemical elements we know are created in massive stellar events such as exploding stars or neutron star mergers. These events release incredible amounts of energy, allowing for the production of heavy nuclides. One key nuclear production process is the so-called rapid neutron-capture process, or r-process, in which free neutrons are captured by existing nuclei and converted into protons—thus creating larger, heavier atomic nuclei.

“Researchers around the world strive to make these complex reactions understandable through theoretical simulations. However, modeling all parameters requires incredible computing power, which is why the models often have to be simplified,” said Dr. Oliver Just, first author of the publication and a researcher in the Nuclear Astrophysics & Structure Department at GSI/FAIR. “Our new model, RHINE, which uses artificial intelligence, offers an efficient alternative.”

Lunar orbiter concept could reveal five key elements across moon in two years

Researchers from Tokyo Metropolitan University have used simulations to show that a newly developed, compact X-ray telescope could be used to map the chemical composition of the entire lunar surface, a vital breakthrough for understanding its geological evolution. Detailed modeling of the detector and a realistic satellite mission show that two years would be enough to map five key elements, while an array of 5-by-5 detectors could improve resolution and get results faster.

The geological evolution of the moon remains a mystery to scientists. This reflects how challenging it is to get accurate information, such as a complete map of the geochemistry of the lunar surface. Since we cannot readily go and collect samples from anywhere, scientists use a technology known as X-ray fluorescence imaging, in which detectors directed at the moon are used to pick up X-rays released by specific elements when they are hit by solar rays.

While observations during the Apollo and Chandrayaan missions have successfully yielded partial maps, we are nowhere near a comprehensive map that might illuminate lunar geology. This is due to significant technical challenges, including a lack of sufficient illumination by solar rays during the lifetime of a mission and degradation of the detector. The illumination issue is particularly pronounced in polar regions, where solar X-rays are much weaker.

A new strategy for assembling π-conjugated panels into square molecules revealed

A research group has developed a new method for selectively synthesizing three-dimensional macrocycles,⁽¹⁾ in which four panels are arranged in a square, by connecting planar π-conjugated molecules⁽²⁾ at right angles.

This method is applicable to a wide variety of π-conjugated molecules and allows the size of the internal cavity to be designed. Furthermore, the resulting square macrocycles exhibit acid responsiveness, reversibly changing color under the action of a mild acid, while acid-mediated hydrolysis enables the starting monomers to be recovered in high yield—realizing a sustainable molecular synthesis that reverts to and regenerates the starting materials. The originality of this work lies in having a single imine bond play three roles: creating the shape, responding to stimuli and reverting back.

These research results were published in the Journal of the American Chemical Society on Monday, June 1, 2026. The team includes Associate Professor Yasutomo Segawa and Assistant Professor Takashi Harimoto at the Institute for Molecular Science (National Institutes of Natural Sciences) and the Graduate University for Advanced Studies (SOKENDAI).

Did this star eat its planets? A new study offers clues on ‘chemical paradox’ of a binary system

Astronomers have investigated a puzzling binary star system in which two stars that may have formed together now show dramatically different chemical compositions. The new study, uploaded to the arXiv preprint server on May 29, hints at the possibility that one of the stars may have swallowed its own planets.

Generally, in binary systems, the two stars form from the same molecular cloud and, as a result, have the same age and chemical composition. Any differences in their metallicity, astronomers say, hint at an event involving mass transfer or engulfment of planetary components or other internal processes. HD 81,809 is one such peculiar system in which the stars are both sun-like G stars but are at different stages of evolution.

The primary star, HD 81809A, has crossed the main-sequence phase, depleted its hydrogen fuel in the core but hasn’t turned into a giant star yet—it is now a subgiant. On the other hand, the secondary star, HD 81809B, is still a main-sequence star. It has lithium enrichment and there is a difference in iron content between the two stars—the primary is metal-poor with an iron abundance of −0.57 dex, while the secondary has roughly solar metallicity around 0.00 dex.

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