Scientists at Nanyang Technological University, Singapore (NTU Singapore), have pioneered a groundbreaking technique to revolutionize the recycling of mixed plastic packaging—a notoriously challenging waste category. This innovation introduces a chemical process that can separate and recover individual plastics from multilayer packaging without the use of harmful solvents, offering a cleaner, safer, and more economically viable pathway to deal with one of the planet’s most persistent environmental problems.

Mixed plastic packaging is ubiquitous in the consumer market, especially in food products like snacks and instant noodles. These multilayered materials combine various polymers, bonded to ensure durability and airtight preservation, but these same properties make them incredibly difficult to recycle. Traditional mechanical recycling methods often degrade the quality of the polymers, resulting in low-value materials frequently destined for landfill or incineration. The global scale of this challenge is immense, with plastic production expected to surge to over 700 million tonnes by 2040, intensifying the urgency for effective recycling innovations.

The team from NTU’s School of Materials Science and Engineering alongside the Nanyang Environment and Water Research Institute (NEWRI), led by Professor Hu Xiao, has developed a technology called depolymerisation-induced polymer separation (DIPS). This sophisticated process selectively targets specific plastic components within mixed packaging, breaking down one polymer chemically while leaving others intact, thus enabling their clean separation and recovery. This nuanced chemical intervention is carried out without introducing solvents, eliminating many environmental and health hazards associated with conventional recycling practices.

At the heart of the DIPS method is reactive extrusion, an industrial process that combines melting, shaping, and chemical reaction stages within a single continuous operation. During this process, poly(ethylene terephthalate) (PET)—commonly used in beverage bottles—is mixed with glycerol, a readily available, nontoxic reagent. The process induces a targeted depolymerization of PET, converting it to smaller molecular units with altered physical and chemical properties. This reaction is finely tuned to maintain the integrity of other plastics like polypropylene (PP), a staple in food packaging.

What makes this technique exceptional is the natural separation that occurs post-depolymerization. The qualitative differences in polarity and viscosity between the chemically altered PET and unaffected PP drive an automatic phase separation, allowing the materials to be isolated without laborious sorting or hazardous chemicals. This solvent-free environment operates at ambient pressure, markedly reducing energy consumption and supporting safer industrial scale-up potential.

Laboratory analysis of the recycled PP material revealed it retained mechanical strengths up to 90% of virgin polypropylene under optimized conditions. This remarkable retention of tensile strength underscores the practical viability of this recycled plastic for high-performance applications, a notable improvement over conventional mechanical recycling, which often results in material downgrading. Besides offering environmental benefits, this enhances the economic value proposition of recycling mixed plastics.

While the PET fraction cannot be directly reprocessed into new packaging materials, its chemical profile post-depolymerization makes it a valuable feedstock for specialty applications. These include precursor materials for high-strength epoxy resins used in advanced composites like wind turbine blades. Furthermore, its chemical groups offer pathways to transform it back into monomers, potentially enabling closed-loop recycling and creating a circular economy for PET-based products.

The potential of the DIPS process extends beyond PET and PP. The principles of selective depolymerization and exploitation of differing material properties signal feasibility for broad applicability across various multilayer plastic combinations prevalent in the packaging industry. This adaptability could dramatically reshape industrial recycling practices, minimizing reliance on sorting and solvent-based treatments.

PhD candidate Kathirvel Periasamy, who contributed significantly to developing the DIPS methodology, highlights that this process aims to bridge the gap between laboratory innovation and industrial application. By integrating separation and depolymerization into a single, streamlined operation, DIPS addresses the economic and environmental challenges hampering widespread adoption of mixed plastic recycling.

The implications of efficiently remediating mixed plastic waste go beyond environmental sustainability—they represent a potential economic boon. It is estimated that unlocking effective recycling solutions for mixed plastics could generate annual economic value exceeding $250 billion globally. This transformative impact could drive market incentives for recycling infrastructure development and elevate the quality standards for recycled materials.

Looking forward, the NTU Singapore team plans collaborative efforts with industrial partners to pilot this technology under scaled-up manufacturing conditions. These partnerships aim to validate the process’s commercial feasibility, operational robustness, and integration with existing recycling systems. The researchers actively invite industry stakeholders interested in advancing sustainable plastic waste management to engage in this next phase.

This innovative approach to depolymerization and polymer separation is poised to be a major step forward in tackling one of the most recalcitrant components of plastic pollution. By eliminating harmful solvents, minimizing energy consumption, and producing high-quality recycled plastics, DIPS aligns technological ingenuity with environmental stewardship, potentially rewriting the narrative around mixed plastic recycling for decades to come.

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Subject of Research:
Not applicable

Article Title:
Depolymerization Induced Polymer Separation: A New Strategy for Continuous and Efficient Separation of PP/PET Multilayer Plastic Packaging Waste

News Publication Date:
16-Mar-2026

Web References:
OECD Policy Scenarios for Eliminating Plastic Pollution by 2040
OECD Global Material Resources Outlook to 2060

References:

1. OECD Policy Scenarios for Eliminating Plastic Pollution by 2040; OECD, 2024.
2. OECD Global Material Resources Outlook to 2060: Economic Drivers and Environmental Consequences; OECD, 2019.

Image Credits:
NTU Singapore

Keywords

Industrial chemistry, Materials processing, Chemical separation, Separation techniques, Sustainable chemistry, Plastic recycling, Polymer science, Depolymerization, Reactive extrusion, Environmental engineering, Circular economy, Mixed plastics

For decades, aluminum oxide has been a material of intrigue and considerable promise within the scientific community, especially in the realm of catalysis and surface chemistry. The prevailing theoretical frameworks had long posited that the basal plane of aluminum oxide, particularly the α-Al2O3(0001) surface, would reveal a smooth, well-ordered array of aluminum atoms. This conjecture implied a highly reactive surface, ideally suited for catalyzing critical chemical reactions such as water splitting, a process central to hydrogen production and energy technologies. Yet, in a perplexing contradiction, experimental observations consistently demonstrated a significantly lower chemical reactivity than these models predicted.

In an illuminating advancement spearheaded by researchers at the Vienna University of Technology (TU Wien), this paradox has been methodically interrogated using pioneering techniques that transcend the limitations of conventional surface analysis. By integrating noncontact atomic force microscopy (AFM)—a cutting-edge technique that captures images of surfaces with atomic precision—with density functional theory calculations, the research team has revealed a reality at the atomic scale that could fundamentally reshape our understanding of aluminum oxide’s surface chemistry.

Contrary to what classical models suggested, the TU Wien team discovered that the α-Al2O3(0001) surface is far from a uniform and ordered plane. Instead, it appears as a remarkably irregular and rugged landscape when viewed on the atomic scale. This surface is incomplete in its ordered aluminum atom arrangement, revealing that the pristine and smooth configurations exist only in tiny localized patches. Beyond these nano-sized domains, the surface abruptly transitions into disordered regions, featuring substantial atomic-scale height variations, spanning several atomic layers, and thus significantly differing in structure and reactivity.

This structural irregularity has a profound implication for the chemical behavior of the surface. The presence of atomic-scale roughness disrupts the anticipated uniform catalytic activity, offering a compelling explanation for the historically observed discrepancy between theory and experiment. Indeed, where the small patches of ordered aluminum atoms predict reactivity consistent with traditional catalytic models, the majority rough and inhomogeneous surface areas lack such activity.

This breakthrough hints at a critical reevaluation of how scientists interpret and predict surface chemical processes, particularly at the nanoscale. It illustrates that theoretical calculations relying on assumptions of ideal, smooth surfaces could bear limited accuracy when applied to real-world materials. Instead, the true atomic topography—including disorder and defects—must be rigorously accounted for to achieve meaningful predictions of surface reactivity and catalysis.

The ramifications of this insight into the surface nature of α-Al2O3(0001) extend considerably beyond aluminum oxide itself. Given that numerous technologically relevant materials—ranging from catalysts used for environmental remediation to substrates involved in thin-film growth—exhibit similarly complex atomic-scale surface structures, this research necessitates a broad reconsideration of surface chemistry principles. Materials scientists and engineers must now recognize that chemical composition alone cannot fully describe surface behavior; rather, atomic-scale architecture plays an equally vital and dynamic role.

The investigative journey pursued by the TU Wien group relied heavily on noncontact atomic force microscopy, a sophisticated analytical technique that allows researchers to “see” the positions of individual atoms without perturbing the delicate surface chemistry. This technique, combined with robust computational methods grounded in density functional theory, enabled the researchers to correlate the observed atomic-scale irregularities with distinct modifications in surface chemical potential and activity. It is this interplay of experimental precision and theoretical rigor that exposed the complexity of the α-Al2O3(0001) surface.

Practically, this discovery challenges researchers to rethink the design and application of aluminum oxide surfaces in catalytic converters, hydrogen generation, and sensor technologies. Tailoring surface properties might no longer be achieved by simply controlling chemical stoichiometry or macroscopic morphology; instead, atomic-level engineering and control of surface reconstruction and disorder will become indispensable. Such efforts could pave the way for optimized materials that capitalize not only on their chemical identity but also on their spatial atomic configurations.

Moreover, this work opens exciting new pathways for future research in the field of surface science. The recognition that surfaces previously assumed smooth are instead atomically rugged suggests a new landscape of potential reaction sites whose properties can be selectively harnessed. Understanding and manipulating these irregularities could unlock unprecedented control over surface reactions, including those fundamental to energy sustainability, environmental catalysis, and the fabrication of nanoscale devices.

This study also underscores the indispensable role of high-resolution imaging technologies in material science. By revealing surface realities invisible to traditional characterization methods, AFM imaging coupled with theoretical calculations provides a more comprehensive and truthful representation of material surfaces. Such an approach not only resolves long-standing scientific mysteries but also equips researchers with tools necessary for pioneering advances across multiple scientific and industrial sectors.

In conclusion, the revelation that the α-Al2O3(0001) surface is inhomogeneous and rough fundamentally alters long-standing assumptions in catalysis research and materials science. The discovery that atomic-scale geometric disorder governs chemical properties redefines how surfaces are understood and utilized. This knowledge recalibrates existing theoretical models and necessitates an integrative approach, combining precise experimental measurements with advanced simulations to predict and exploit surface chemistry accurately.

The insight gained through TU Wien’s research dramatically enhances our understanding of aluminum oxide and similar materials, where surface structure intricacies dictate functionality. As technologies increasingly move towards the nanoscale, appreciating and engineering atomic-scale surface variations will be crucial. This advancement embodies a significant leap forward in characterizing and applying surfaces for the next generation of catalytic and electronic materials.

Subject of Research: Not applicable
Article Title: AFM imaging reveals the unreconstructed α‑Al2O3(0001) surface to be inhomogeneous and rough
News Publication Date: 27-May-2026
Web References: DOI: 10.1038/s41467-026-73690-0
Image Credits: TU Wien

Keywords
Atomic force microscopy, Aluminum oxide, Surface roughness, Catalysis, Density functional theory, Surface chemistry, Atomic-scale disorder, Water splitting, Surface reactivity, Nanomaterials, Material science, Surface physics

Scientists have made a remarkable breakthrough in understanding the microbial processes behind the production of a crucial climate-regulating gas in one of India’s busiest estuarine ecosystems. In a pioneering study led by researchers from the Department of Chemical Oceanography at the Cochin University of Science and Technology (CUSAT), Kochi, the intricate dynamics of dimethylsulfoniopropionate (DMSP) degradation in the Cochin Estuary have been mapped comprehensively for the first time. This estuary, renowned for its intense biological productivity and complex interactions influenced by monsoon-driven hydrodynamics, has long remained understudied in the context of sulfur biogeochemistry despite its global climatic importance.

DMSP, a sulfur-containing compound synthesized predominantly by marine phytoplankton and macroalgae, serves as a key precursor to dimethylsulfide (DMS). Once released by bacterial decomposition, DMS enters the atmosphere where it contributes to cloud formation by acting as nuclei for cloud condensation. This natural feedback mechanism plays a subtle yet profound role in the earth’s radiative balance and climate regulation. Although extensive research has been conducted in temperate and open ocean waters, tropical estuarine systems like the Cochin Estuary have been largely omitted from this global sulfur cycle narrative.

Between 2015 and 2018, the investigative team undertook extensive fieldwork along the length of the Cochin Estuary, strategically sampling fifteen stations spanning upper, middle, and lower reaches to capture spatial variability. These sites were visited through distinct seasonal phases — pre-monsoon, monsoon, and post-monsoon — providing temporal insights into how monsoonal shifts impact the biogeochemical regime. Analytical methods integrated gas chromatography to quantify DMSP and DMS concentrations systematically across water and sediment matrices, paired with cutting-edge 16S rRNA gene sequencing to characterize the resident bacterial communities responsible for DMSP metabolism.

A striking revelation from the study indicates that sediment environments are hotspots for both higher DMSP accumulation and bacterial abundance when compared to overlying water columns. Sediment DMSP levels and bacterial counts per gram generally exceeded those measured per millilitre in water, confirming sediments’ pivotal role as active sites for sulfur cycling processes. This spatial pattern highlights the often-overlooked benthic zone’s biochemical significance, especially in estuarine systems influenced by complex hydrodynamics and nutrient influxes.

Salinity and temperature fluctuations associated with monsoonal variability emerged as critical drivers shaping DMSP concentrations and microbial dynamics along the estuary. The research documented peak DMSP concentrations at a mid-estuary station during pre-monsoon conditions, coinciding with elevated salinity and temperature. These environmental parameters are well-known to influence phytoplankton productivity, underscoring a direct linkage between climatic seasonality and biogenic sulfur fluxes. The seasonal coupling of physical and biological factors reflects the sensitivity of DMSP-mediated pathways to broader climate oscillations.

The bacterial taxa isolated from sediment samples reveal a fascinating diversity of organisms capable of utilizing DMSP as their sole carbon source. Specifically, two γ-Proteobacteria species — Acinetobacter calcoaceticus and Acinetobacter beijerinckii — along with two Firmicutes representatives — Bacillus cereus and Lysinibacillus fusiformis — exhibited robust growth on DMSP substrates. The presence of these taxa highlights the complexity of microbial consortia involved in sulfur cycling and points to unique ecological adaptations facilitating DMSP degradation within the sediment microenvironment.

Of particular note is the identification of the dddP gene within Acinetobacter calcoaceticus, a gene encoding a pivotal enzyme that catalyzes the cleavage of DMSP to release DMS. This genetic confirmation unequivocally demonstrates that enzymatic pathways responsible for DMS production are actively operative in the Cochin Estuary sediments. This is a vital link connecting microbial community structure to functional outcomes impacting the marine sulfur flux and atmospheric chemistry on a regional scale.

The implications of these findings extend beyond mere academic interest, offering potential applications in environmental biotechnology. The ability of bacteria such as Acinetobacter calcoaceticus and Bacillus cereus to metabolize organic sulfur compounds efficiently suggests possibilities for bioengineering approaches aimed at mitigating sulfur emissions or remediating volatile sulfur pollutants in aquatic environments. This biotechnological angle places the research at the interface of microbial ecology and applied environmental management.

Furthermore, the study establishes an essential baseline dataset for the Cochin Estuary—a tropical system previously missing from global sulfur cycle models. Understanding the spatial-temporal variability of DMSP production and degradation is fundamental for refining biogeochemical models that predict how coastal ecosystems modulate atmospheric sulfur loads, cloud formation, and hence, climate feedback loops. This research paves the way for integrating tropical estuarine dynamics into global climate modeling frameworks.

The researchers advocate for future investigations employing multi-omics approaches such as metagenomics and metatranscriptomics to elucidate the complete suite of DMSP degradation pathways and their regulatory mechanisms across varied spatial scales and seasonal regimes. Such integrative molecular techniques would enable a more nuanced understanding of microbial functional diversity and activity, improving predictive capabilities regarding the estuary’s role in global sulfur cycling.

Conclusively, this landmark study spotlights the interplay between estuarine microbiology, ecosystem biogeochemistry, and climate science. It uncovers the profound influence of microbial metabolism in a dynamic tropical estuary, reinforcing the significance of localized natural processes informing global environmental phenomena. As monsoon-driven climatic variability intensifies under global change scenarios, the insights gained here underscore the urgency of monitoring and preserving these critical coastal interfaces.

In summary, the Cochin Estuary research signifies an essential stride in marine biochemical research by documenting the first comprehensive mapping of DMSP-degrading bacterial communities and their enzymatic functions in an Indian tropical estuarine system. From identifying novel microbial players to delineating environmental controls on sulfur fluxes, the study enriches our understanding of the ocean’s role in climate regulation and invites interdisciplinary collaborations aiming to harness microbial functions for environmental sustainability.

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Subject of Research:
Dimethylsulfoniopropionate (DMSP) degradation by marine bacteria in the Cochin Estuary and its implications for global sulfur cycling and climate regulation.

Article Title:
Dimethylsulfoniopropionate (DMSP) Degradation by Marine Bacteria along the Cochin Estuarine System

Web References:
http://dx.doi.org/10.2174/0118740707433988260408095129

References:
Divakaran D, Sujatha C.H, Mathew D.E. Dimethylsulfoniopropionate (DMSP) Degradation by Marine Bacteria along the Cochin Estuarine System. Open Biotechnol. J., 2026; 20: e18740707433988.

Keywords:
DMSP, dimethylsulfide, marine bacteria, sulfur cycle, Cochin Estuary, estuarine microbiology, monsoon, climate regulation, biogeochemical cycling, microbial enzymatic pathways, γ-Proteobacteria, Firmicutes

A nanoscale fabric coating repels stains and microbes using only tap water.

In the quest to minimize the devastating collateral damage of chemotherapy and improve the precision of drug delivery, scientists at the University of California San Diego have pioneered a groundbreaking chemical tool known as TRACE (tetrazine release and activation by cellular enzymes). This innovation represents an extraordinary leap towards selective drug activation at the cellular level, whereby powerful therapeutic agents can be unleashed solely within targeted cells, radically reducing harm to healthy tissues and enhancing overall treatment efficacy.

Traditional chemotherapy agents face an inherent challenge: their lack of discrimination between malignant and normal cells frequently results in harmful side effects, sometimes severe enough to limit their clinical use. Innovative chemical strategies that can tightly control where and when drugs become active inside the human body have long been sought to address this issue. TRACE is a prime example of such innovation, utilizing the power of bioorthogonal chemistry—a cutting-edge approach that enables chemical reactions to proceed in living systems with unmatched selectivity and minimal biological interference.

Bioorthogonal chemistry involves the design of chemical moieties that react exclusively with each other within biological environments, effectively performing “click” reactions that attach diagnostic or therapeutic agents to biomolecules without disturbing native biochemical processes. Among the fastest and most versatile reagents in this realm are tetrazines—heterocyclic compounds known for their rapid and specific reactivity with their partner molecules. Since their introduction more than a decade ago by Neal K. Devaraj and Joseph M. Fox, tetrazine chemistry has revolutionized live-cell labeling, drug delivery systems, and materials functionalization.

Despite their speed and specificity, traditional tetrazine-based reactions have faced a crucial hurdle: they can activate indiscriminately across various cell types within complex biological milieus. This reduces the precision essential for many applications, such as targeted cancer therapy or real-time imaging of pathological processes, where only certain cells must be affected or visualized. Recognizing this limitation, Devaraj’s laboratory embarked on engineering a molecular “safe lock” to cage the reactive tetrazine, preventing it from interacting prematurely or non-selectively.

The breakthrough came in the form of enzyme-activated tetrazine cages. These cages encase the tetrazine molecules, rendering them inactive until they reach cells expressing specific enzymes capable of unlocking the cage. When the caged tetrazine encounters its target enzyme—often overexpressed in disease states like cancer—it undergoes rapid uncaging, liberating the reactive tetrazine to engage in its bioorthogonal “click” chemistry exclusively within the desired cells. This ingenious form of molecular programming imbues the chemical system with exquisite spatial resolution.

Achieving this level of cell-type specificity required extensive optimization. The researchers meticulously screened various tetrazine structures to identify candidates combining the fastest uncaging kinetics with rapid reaction turnover. To further sharpen targeting precision, they introduced tetrazine-reactive scavengers that mop up any prematurely released or non-target activated molecules, effectively suppressing background reactivity outside the enzyme-rich milieu. This elegant dual mechanism essentially narrows tetrazine activation to occur almost exclusively in the intended cellular population.

Proof-of-concept experiments employed enzymes uniquely abundant in certain pathological cells paired with doxorubicin (DOX), a potent but notoriously toxic chemotherapeutic drug. The caged tetrazine-DOX complex remained inert unless it encountered the activating enzyme, at which point doxorubicin was released to exert its cytotoxic effect precisely within the cancerous cells. This selective deployment mechanism holds immense promise for enhancing therapeutic windows, reducing systemic toxicity, and potentially overcoming drug resistance linked to broad drug exposures.

Beyond therapeutic applications, the TRACE platform also advances live-cell imaging capabilities. By integrating fluorescent probes within the tetrazine cages, the researchers devised a system where fluorescence switches on solely after enzymatic uncaging in targeted cells. This selective illumination enables unprecedented real-time visualization of enzymatic activity and cellular states, such as the detection of elevated alkaline phosphatase (ALP) activity—an important biomarker in various tumors—directly on the cell surface. Such precision could transform pathological diagnostics and allow monitoring of treatment responses with high fidelity.

This body of work reflects nearly two decades of pioneering research by Neal K. Devaraj in tetrazine chemistry and highlights the transformative potential of marrying chemical ingenuity with biological specificity. The ability to tailor chemical reactions to individual cell types within living organisms was once a distant dream; now, TRACE brings this vision within reach. By enhancing selectivity, reducing side effects, and enabling dynamic cellular imaging, this technology stands poised to redefine pharmaceutical delivery and molecular diagnostics.

Looking forward, Devaraj’s team is focused on refining the selectivity and general applicability of these enzymatic cages. The potential to customize cages responsive to a broad repertoire of cell-specific enzymes could open new frontiers in personalized medicine, allowing therapies to be fine-tuned not only to cancer cell types but to diverse pathological contexts, including infectious diseases and autoimmune disorders. The implications extend to improving the safety and effectiveness of treatments and to developing novel diagnostic tools adapted to complex biological systems.

At its core, TRACE exemplifies a paradigm shift: moving from broad-spectrum chemical interventions in biology to highly programmed, cell-specific molecular operations. This capability leverages the unique enzymatic fingerprints of different cell types to activate chemical functions only where needed, dramatically improving outcomes in both clinical and research settings. Such precision chemistry is rightly hailed as a game-changer in the science of drug delivery and bioimaging.

The resonance of this innovation extends well beyond the confines of the laboratory. The principles underlying TRACE, including enzyme-activated molecular cages and bioorthogonal chemistry, could ultimately enable real-time, in vivo tracking and control of therapeutic agents in human patients, moving the field closer to the long-envisioned goal of “smart” medicines that dynamically respond to cellular environments. This research not only adds a powerful new tool to the chemical biology arsenal but underscores the untapped potential of chemistry to revolutionize medicine and healthcare.

In summation, the TRACE system is a monumental stride in the evolution of bioorthogonal chemistry, effectively combining precision chemical engineering with biological specificity to achieve selective drug delivery and imaging. By harnessing enzyme-mediated activation and molecular cages to control tetrazine activity, the Devaraj laboratory has unlocked unprecedented spatial and temporal control over chemical reactions in live cells. As discoveries continue, this chemical toolkit promises to provide clinicians and researchers with unparalleled control over therapeutic and diagnostic processes, heralding a future where side effects are minimized and treatment efficacy is maximized.

Subject of Research: Cells
Article Title: Achieving cell-type-specific bioorthogonal chemistry using enzyme-activated caged tetrazines
News Publication Date: 3-Jun-2026
Web References: https://doi.org/10.1038/s41589-026-02240-y
Image Credits: Devaraj lab / UC San Diego
Keywords: Organic chemistry, Click chemistry, Targeted drug delivery

In the hidden depths of coastal ecosystems, the dynamic interplay between hard-shelled marine mollusks and their predators unfolds silently yet profoundly influences the health of these environments. Organisms like clams and snails, essential for stabilizing shorelines, filtering water, and supporting biodiversity, face mounting threats from ocean acidification and burgeoning populations of mobile shell-crushing predators. Despite their importance, deciphering the rapid and often submerged interactions that govern these predator-prey relationships has long posed a formidable scientific challenge.

The primary obstacle in studying these underwater predation events lies not only in their elusive locations but also in the fleeting nature of the encounters. Predators such as the whitespotted eagle rays (Aetobatus narinari) forage silently in subtidal zones where direct visual observation is hindered by light availability and water clarity. Consequently, the critical ecological process of mollusk consumption remains difficult to quantify in natural settings, leaving a significant knowledge gap in coastal marine ecology.

Unexpectedly, these predation events broadcast distinct acoustic signatures through the water. The fracturing and crushing of clam and snail shells generate unique sounds—transient acoustic signals rich with ecological information. Employing passive acoustic monitoring techniques coupled with autonomous recording devices, researchers can now “listen in” on these feeding behaviors as they happen in situ, capturing data inaccessible through visual surveys alone. Nonetheless, the challenge remains to reliably isolate these faint shell-crunching sounds amid the cacophony of underwater noise.

Addressing this, a team from Florida Atlantic University (FAU) has created an innovative machine learning framework designed to enhance the detection and classification of these subtle shell-crushing acoustic events. Through controlled aquarium trials featuring whitespotted eagle rays—a species renowned for their shell-cracking feeding strategy—the researchers built and trained an AI system adept at distinguishing feeding sounds from ambient oceanic noise, vastly advancing the capability to monitor predator-prey interactions acoustically.

This framework employs a sophisticated, multi-tiered approach. Initially, it processes extensive underwater audio recordings to identify potential predation events via acoustic pattern recognition. Subsequent analytical layers refine these detections by using machine learning classifiers to minimize false positives, thereby filtering actual shell-crushing events from environmental background sounds with high precision.

Beyond mere detection, the system also categorizes the type of mollusk prey consumed during these events. This is achieved by integrating traditional classification algorithms such as random forests with advanced deep learning architectures, including long short-term memory networks (LSTMs) and convolutional neural networks (CNNs). Each method is fine-tuned to recognize nuanced features in the acoustic structure of shell-crushing sounds, enabling detailed insights into prey identity.

Significantly, the study, recently published in the journal Ecological Informatics, demonstrates that complex AI architectures are not always essential for robust performance. Simplified models leveraging gammatone feature cepstral coefficients (GTCCs)—a biologically inspired auditory filterbank approach—proved nearly as effective as deep learning models in detecting shell-crushing sounds, while demanding significantly less computational power. This finding holds promise for scalable, long-duration deployment in challenging marine environments where energy and processing capacity are constrained.

As Laurent Chérubin, Ph.D., a research professor at FAU’s Harbor Branch Oceanographic Institute and lead author, emphasizes, these acoustic signals reveal substantial ecological information beyond mere occurrence. Passive acoustic monitoring represents a transformative tool, offering unprecedented access to predator-prey dynamics in otherwise inaccessible ocean habitats, enhancing our understanding of marine ecosystem functionality.

The implications for coastal ecosystem management are profound. By remotely detecting and classifying predation events, the new technology enables quantification of predator impacts on mollusk populations at ecosystem-wide scales—a methodological leap beyond fragmented, location-specific observations. This ability not only enriches basic ecological knowledge but also equips managers with actionable insights into shellfish populations vital for habitat restoration and commercial aquaculture.

The system’s effectiveness extends beyond controlled laboratory settings. Tested in real-world conditions, including data from animal-borne acoustic tags and fixed underwater sensors, the AI framework reliably identified feeding events and prey types in natural habitats. Its resilience when trained exclusively on tank data yet performing accurately in the field demonstrates robust generalizability, critical for widespread application.

Further intriguing is the framework’s capacity to elucidate predator behavior. According to Dr. Matt Ajemian, senior author and director of the Fisheries Ecology and Conservation Lab at FAU Harbor Branch, the acoustic signatures not only reflect prey species but also reveal handling techniques and processing durations. This opens potential avenues for scientists to distinguish between individual feeding strategies and even estimate prey size categories from subtle variations in shell-crushing sounds.

As global investments in shellfish aquaculture and coastal restoration intensify, tools that effectively monitor predator-prey interactions grow increasingly vital. Considering the diverse prey types analyzed range from buried filter feeders to agile mobile shellfish, this AI-powered acoustic monitoring system emerges as a versatile instrument for tracking mollusk mortalities and ecosystem health across heterogeneous coastal environments.

Finally, the computational efficiency of GTCC-based detection models is especially advantageous for deployment on autonomous underwater platforms constrained by limited power and processing resources. This capability supports extensive, real-time ecological monitoring in remote marine areas where traditional sensor networks are impractical, heralding a new era in marine ecology research.

The research represents a collaborative effort among scientists at Florida Atlantic University, including Ph.D. candidates and faculty from the College of Engineering and Computer Science, highlighting the power of interdisciplinary approaches to address complex ecological challenges with innovative technological solutions. Funded partially by the National Science Foundation and institutional grants, this work exemplifies how AI and acoustic technologies can transform environmental conservation, providing a vital toolkit for safeguarding marine ecosystems under increasing anthropogenic pressure.

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Subject of Research: Animals

Article Title: Evaluation of a signal processing and machine learning framework to detect and classify shell-crushing predation events

News Publication Date: 7-May-2026

Web References:

• Florida Atlantic University: https://www.fau.edu/
• Ecological Informatics Journal: https://www.sciencedirect.com/science/article/pii/S1574954126002013

References:

• DOI: 10.1016/j.ecoinf.2026.103795

Image Credits: FAU Harbor Branch, Cat Nickell and Conrad Pfalzgraf

Keywords

Artificial intelligence, aquatic animals, natural resources conservation, sustainability, wildlife management, engineering, technology, acoustics, sound, underwater acoustics, wildlife, predators, marine conservation, ecological restoration, ecosystem management

In the vast cosmic arena where massive stars end their lives in spectacular explosions known as core-collapse supernovae (CCSNe), a new frontier in astrophysics is being unveiled through the study of elusive particles called neutrinos. These near-massless subatomic particles, produced in staggering quantities during a supernova event, play a crucial role in the dynamic processes that govern these cataclysmic explosions. Recent groundbreaking research led by Assistant Professor Ryuichiro Akaho from Waseda University, Japan, has shed light on the complex influence of a phenomenon known as neutrino fast flavor conversion (FFC) on the mechanisms driving CCSNe explosions, offering fresh insights that challenge prior theoretical models.

The lifecycle of massive stars concludes with an extraordinary release of energy and matter during a core-collapse supernova, marking one of the most luminous events observed in the cosmos. Neutrinos, generated in the intense core environment, transport energy and influence shock dynamics critical for the explosion’s success. However, understanding how neutrinos change their quantum states—or flavors—through collective oscillations during such events has remained an open question. Fast flavor conversion, a rapid and collective oscillation process driven by neutrino-neutrino interactions, poses significant theoretical and computational challenges. Previous studies predominantly employed simplified “truncated moment” approximations to estimate FFC effects, yet such methods fall short in accurately representing the nuanced angular distributions of neutrinos vital for pinpointing where and how FFC unfolds.

Departing from these limitations, Akaho and his collaborators implemented a sophisticated multiangle approach to neutrino transport, enabling a direct and comprehensive simulation of neutrino momentum-space angular distributions across the turbulent supernova environment. This approach captures the subtle directional dependencies essential for evaluating FFC occurrences with unprecedented fidelity. By integrating a quantum kinetic theory-based FFC framework with multidimensional Boltzmann neutrino radiation hydrodynamics simulations, the research team delivered a meticulous description of neutrino flavor evolution and its feedback on supernova dynamics, marking a pioneering step in computational astrophysics.

Their model utilizes the Bhatnagar-Gross-Krook (BGK) relaxation scheme to incorporate quantum kinetic effects and trace the complex neutrino flavor states. This physics-based subgrid approach permits seamless coupling between flavor conversion processes and neutrino radiation transport within the supernova core, a feat not previously achieved in comprehensive CCSN simulations. The research also builds on a foundation laid by earlier works, expanding the computational toolkit to realistically capture how fast flavor conversion influences neutrino heating and shock revival.

The simulation study spanned an array of progenitor star models with zero-age main sequence masses of 9, 12, 16, and 20 solar masses, alongside three nuclear equations of state (EOS), encapsulating diverse microphysical conditions: the variational method-based Furusawa-Togashi EOS, Dirac-Brückner-Hartree-Fock technique, and chiral effective field theory. This broad parameter space allowed for a thorough examination of how stellar structure and nuclear matter properties intertwine with neutrino physics to shape supernova outcomes.

One of the most compelling revelations from the simulations is the bifurcated—or dual—impact of fast flavor conversion on CCSN explosions, distinctly influenced by progenitor mass and accretion dynamics. For lower-mass progenitors (such as the 9 solar mass cases), FFC acts as a catalyst, promoting shock revival and enhancing the explosion energy by boosting neutrino-driven heating within the stalled shock region. In contrast, for higher-mass progenitors characterized by elevated mass accretion rates, FFC surprisingly exerts a suppressive effect. The reduction in neutrino luminosity due to flavor conversion outweighs any benefits from spectral hardening of electron-type neutrinos, culminating in diminished neutrino heating and significantly hampering the likelihood of successful explosions.

This nuanced dependency underscores mass accretion rate as a principal controlling factor in determining the net influence of FFC. High accretion funnels exerting intense pressure on the shock interface foster conditions where neutrino heating contributions from FFC turn negative, stalling the explosion. Conversely, under low accretion scenarios, FFC enhances energy deposition behind the shock through spectral changes and flavor transformations that favor electron neutrino interactions, facilitating revitalization of the shock wave.

Crucially, these findings expose the inherent limitations of approximative neutrino transport methods that fail to resolve angular distributions, which can either overlook the presence of fast flavor conversions or falsely signal their emergence. Through their multiangle neutrino transport approach, the authors highlight the necessity of detailed angular resolution to faithfully capture the complex interplay between neutrino flavor physics and hydrodynamic instabilities driving CCSNe.

This research not only deepens the theoretical understanding of the multifaceted role neutrinos play in the deaths of massive stars but also paves the way for refining supernova models that bridge microscopic quantum processes with macroscopic explosion phenomena. The ability to accurately predict FFC effects is critical for interpreting neutrino signals from potential future galactic supernovae, offering a direct window into the physics within collapsing stellar cores.

The study emerges at a pivotal time when giant neutrino observatories worldwide are poised to detect supernova neutrinos with unprecedented precision, potentially validating theoretical models experimentally. By aligning state-of-the-art computational astrophysics with the physics of neutrino fast flavor conversion, Akaho’s work builds a framework essential for extracting rich astrophysical information from forthcoming neutrino data, advancing the quest to unravel the enigmatic mechanisms underlying core-collapse supernovae.

Beyond its astrophysical implications, this research signifies an intersection of quantum kinetics, nuclear physics, and fluid dynamics on cosmic scales, exemplifying the interdisciplinary complexity required to tackle outstanding questions in modern physics. The utilization of multidimensional Boltzmann neutrino radiation hydrodynamics combined with quantum kinetic flavor transformation models represents a major milestone in computational modeling, empowering scientists to explore emergent phenomena that previous approximations could not resolve.

As the community moves forward, these insights will stimulate further investigation into the feedback mechanisms between neutrino physics and the turbulent, dynamic environment of collapsing stars. Comprehensive understanding of fast flavor conversion effects promises to enhance predictive models, inform detector design, and ultimately transform our comprehension of the universe’s most dramatic stellar explosions.

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Subject of Research: Not applicable

Article Title: Bifurcated Impact of Neutrino Fast Flavor Conversion on Core-Collapse Supernovae Informed by Multiangle Neutrino Radiation Hydrodynamics

News Publication Date: 15-May-2026

Web References: DOI link

References: DOI 10.1103/fksy-1jtw (Physical Review Letters, Volume 136, Issue 19)

Image Credits: Assistant Professor Ryuichiro Akaho from Waseda University, Japan

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Keywords

Applied sciences and engineering, Hydrodynamics, Subatomic particles, Physics, Physical sciences, Neutrinos

For decades, scientists have understood that plants can release volatile organic compounds—essentially airborne chemical signals—to attract the natural enemies of the things that eat them, like caterpillars. What we didn’t know was exactly how a plant translates the physical act of being eaten into a specific, predator-summoning distress signal.

“[One] thing we didn’t know is how the plant detects the caterpillar in the first place,” says Adam Steinbrenner, a biologist at the University of Washington. Now, after years of experimenting with common bean plants in the lab and in the agricultural fields of Oaxaca, Mexico, Steinbrenner’s team pinpointed a single immune receptor that orchestrates its anti-caterpillar defense system.

Drooling caterpillars

When an herbivorous insect like a caterpillar feeds on a plant, it introduces its saliva straight into the plant's damaged tissues. This saliva contains biological clues called HAMPs: herbivore-associated molecular patterns. One of the HAMPs molecules is a peptide called inceptin, and there’s an 11-amino acid fragment of inceptin named In11, as well. Both of them turn out to be a fragment of the ATP synthase found in chloroplasts—basically a piece of one of the plant’s own proteins. As the caterpillar ingests the leaf, its gut enzymes chop up the plant's cellular engines and their pieces, including In11, are regurgitated back onto the leaf’s surface, albeit at extremely small concentrations.

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© mikroman6

For decades, scientists have understood that plants can release volatile organic compounds—essentially airborne chemical signals—to attract the natural enemies of the things that eat them, like caterpillars. What we didn’t know was exactly how a plant translates the physical act of being eaten into a specific, predator-summoning distress signal.

“[One] thing we didn’t know is how the plant detects the caterpillar in the first place,” says Adam Steinbrenner, a biologist at the University of Washington. Now, after years of experimenting with common bean plants in the lab and in the agricultural fields of Oaxaca, Mexico, Steinbrenner’s team pinpointed a single immune receptor that orchestrates its anti-caterpillar defense system.

Drooling caterpillars

When an herbivorous insect like a caterpillar feeds on a plant, it introduces its saliva straight into the plant's damaged tissues. This saliva contains biological clues called HAMPs: herbivore-associated molecular patterns. One of the HAMPs molecules is a peptide called inceptin, and there’s an 11-amino acid fragment of inceptin named In11, as well. Both of them turn out to be a fragment of the ATP synthase found in chloroplasts—basically a piece of one of the plant’s own proteins. As the caterpillar ingests the leaf, its gut enzymes chop up the plant's cellular engines and their pieces, including In11, are regurgitated back onto the leaf’s surface, albeit at extremely small concentrations.

Read full article

Comments

© mikroman6

For decades, scientists have understood that plants can release volatile organic compounds—essentially airborne chemical signals—to attract the natural enemies of the things that eat them, like caterpillars. What we didn’t know was exactly how a plant translates the physical act of being eaten into a specific, predator-summoning distress signal.

“[One] thing we didn’t know is how the plant detects the caterpillar in the first place,” says Adam Steinbrenner, a biologist at the University of Washington. Now, after years of experimenting with common bean plants in the lab and in the agricultural fields of Oaxaca, Mexico, Steinbrenner’s team pinpointed a single immune receptor that orchestrates its anti-caterpillar defense system.

Drooling caterpillars

When an herbivorous insect like a caterpillar feeds on a plant, it introduces its saliva straight into the plant's damaged tissues. This saliva contains biological clues called HAMPs: herbivore-associated molecular patterns. One of the HAMPs molecules is a peptide called inceptin, and there’s an 11-amino acid fragment of inceptin named In11, as well. Both of them turn out to be a fragment of the ATP synthase found in chloroplasts—basically a piece of one of the plant’s own proteins. As the caterpillar ingests the leaf, its gut enzymes chop up the plant's cellular engines and their pieces, including In11, are regurgitated back onto the leaf’s surface, albeit at extremely small concentrations.

Read full article

Comments

© mikroman6

For decades, scientists have understood that plants can release volatile organic compounds—essentially airborne chemical signals—to attract the natural enemies of the things that eat them, like caterpillars. What we didn’t know was exactly how a plant translates the physical act of being eaten into a specific, predator-summoning distress signal.

“[One] thing we didn’t know is how the plant detects the caterpillar in the first place,” says Adam Steinbrenner, a biologist at the University of Washington. Now, after years of experimenting with common bean plants in the lab and in the agricultural fields of Oaxaca, Mexico, Steinbrenner’s team pinpointed a single immune receptor that orchestrates its anti-caterpillar defense system.

Drooling caterpillars

When an herbivorous insect like a caterpillar feeds on a plant, it introduces its saliva straight into the plant's damaged tissues. This saliva contains biological clues called HAMPs: herbivore-associated molecular patterns. One of the HAMPs molecules is a peptide called inceptin, and there’s an 11-amino acid fragment of inceptin named In11, as well. Both of them turn out to be a fragment of the ATP synthase found in chloroplasts—basically a piece of one of the plant’s own proteins. As the caterpillar ingests the leaf, its gut enzymes chop up the plant's cellular engines and their pieces, including In11, are regurgitated back onto the leaf’s surface, albeit at extremely small concentrations.

Read full article

Comments

© mikroman6

A groundbreaking innovation in environmental monitoring has emerged from the Institute of Experimental Physics at Graz University of Technology (TU Graz), where Birgitta Schultze-Bernhardt and her research team have engineered an advanced ultraviolet (UV) dual-comb spectrometer. This cutting-edge device offers unparalleled precision and sensitivity in detecting gaseous pollutants, including formaldehyde, a harmful chemical compound frequently found in urban and industrial atmospheres. Utilizing dual ultraviolet laser pulses, their spectrometer can measure pollutant concentrations within merely half a second, a feat that sets it apart from previous technologies that were slower and less accurate.

At the core of this spectrometer lies the generation of two ultra-short laser pulses in the ultraviolet spectral range, executed within fractions of a second. When these pulses interact with gas molecules, they trigger electronic excitation that causes the molecules to undergo rovibronic transitions—a complex interplay of rotational, vibrational, and electronic energy changes. Each molecule’s unique rovibronic fingerprint leads to the selective absorption of specific UV frequencies, allowing the spectrometer to unmistakably identify and quantify a vast variety of gaseous pollutants by their distinct spectral signatures.

The first prototype of this UV dual-comb spectrometer, developed over two years ago, marked a monumental milestone as the world’s inaugural instrument of its kind. However, it was originally confined to bulky laboratory setups that limited its practical application beyond research environments. The recent redesign has transformed the apparatus into a remarkably compact unit, approximately the size of a cardboard removal box, making it feasible for mobile use across different environments such as urban centers, industrial zones, and agricultural landscapes. Complementing this compactness, the innovation employs a single laser source that generates the dual laser pulses, which eliminates the need for intricate electronic stabilization and enhances the system’s robustness.

The spectrometer achieves a spectral resolution of 1 gigahertz in detecting UV light frequencies, a remarkable advancement over conventional UV spectrometers. This ultra-high resolution facilitates the capture of molecular absorption patterns at an unprecedented level of detail, allowing researchers to observe spectral features of formaldehyde never before documented experimentally. This development opens new frontiers in molecular spectroscopy, where previously inaccessible fine structures in the UV absorption spectra become accessible, enhancing the understanding of molecular dynamics and environmental chemistry.

One of the most striking outcomes of the spectrometer’s application involves revisiting the long-established rotational constants of formaldehyde. These constants, fundamental parameters that characterize the rotational energy levels of molecules, have been part of physics databases and textbooks since the 1960s. Through their high-resolution measurements, Schultze-Bernhardt’s team discovered discrepancies of up to 15% in these values. Collaborative work with the Harvard-Smithsonian Center for Astrophysics and the expertise of organic chemist Rolf Breinbauer from TU Graz—who provided high-purity formaldehyde samples—enabled the correction of these constants, substantially refining molecular data that underpin much of molecular physics and chemistry.

This advancement bears significant implications for both fundamental research and practical environmental monitoring. The UV dual-comb spectrometer’s capability to accurately identify and quantify semi-transparent gaseous substances holds immense promise for real-time, high-precision surveillance of air quality. Its design permits deployment in varied settings where air pollution and gas leaks pose health and safety risks. Ongoing research efforts aim to extend its functionality to estimate multiple pollutant concentrations simultaneously in a single measurement cycle, which would exponentially increase its utility for comprehensive environmental diagnostics.

The device’s portability and rapid measurement capabilities uniquely position it to revolutionize air quality monitoring in real-world environments. Unlike traditional bulky systems requiring extensive setup and calibration, this spectrometer is expected to empower environmental agencies, industrial operators, and even laypersons to perform reliable air quality assessments with minimal training. Funded in part by a Proof of Concept Grant from the European Research Council, ongoing development focuses on creating user-friendly versions of the UV spectrometer tailored for widespread adoption in companies and monitoring organizations.

The journey toward this technological leap has been supported by significant funding from prominent science funding bodies, reflecting its strategic importance. The Austrian Science Fund (FWF) and the European Research Council have both underpinned the foundational research projects led by Schultze-Bernhardt. Additionally, infrastructural support from NAWI Graz facilitated the creation of the novel laser source crucial to the device’s current compact configuration. Together, this support not only underscores the technology’s innovation but also its alignment with broader scientific and environmental priorities.

This novel UV dual-comb spectrometer stands as a testament to the fusion of sophisticated laser physics, molecular spectroscopy, and environmental science, promising to set a new standard in pollutant detection. By uncovering previously unknown molecular behaviors and enhancing the accuracy of atmospheric measurements, it elevates both academic knowledge and applied environmental monitoring technologies. Its swift response time and robust design suggest future integration in smart-city air quality networks and industrial safety systems, heralding a new era of precision environmental stewardship.

The technology’s fundamental mechanism—utilizing dual frequency combs in the ultraviolet range—enables the spectrometer to directly sample electronic transitions of molecules, a domain traditionally challenging due to the complexity of UV light generation and detection. The simplification achieved by employing a single laser source for dual-comb generation not only reduces device complexity but also improves spectral stability, making the instrument less susceptible to environmental perturbations—a critical factor for field deployment.

Moreover, this spectrometer’s ability to probe rovibronic transitions at such high resolution helps bridge the gap between conventional infrared spectrometry and electronic spectroscopy, providing detailed databases of UV absorption features that have implications beyond atmospheric science. Astrophysics, atmospheric chemistry, and even industrial process monitoring stand to benefit from the enhanced spectral data this instrument can deliver, enabling more accurate modeling and monitoring of molecular interactions in diverse environments.

In conclusion, the advancement of the UV dual-comb spectrometer by Schultze-Bernhardt and her team marks a seminal moment in molecular spectroscopy and environmental sensing. Its rapid, precise, and portable measurement of air pollutants ushers in a powerful tool for addressing urgent challenges related to air quality and human health. As the instrument transitions from laboratory innovation to widespread application, it embodies the promise of laser physics-driven solutions contributing tangibly to global environmental sustainability and scientific discovery.

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Subject of Research: Not applicable

Article Title: Free-running ultraviolet dual comb spectroscopy enabling absolute electronic fingerprinting

News Publication Date: 21-May-2026

Web References:
DOI: 10.1186/s43074-026-00250-6

Image Credits: Oliver Wolf – TU Graz

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Keywords

UV dual-comb spectrometer, ultraviolet spectroscopy, rovibronic transitions, formaldehyde detection, air pollutant monitoring, molecular spectroscopy, environmental sensing, laser physics, portable spectrometer, atmospheric chemistry, spectral resolution, innovation in spectroscopy

In the relentless quest to revolutionize energy storage technologies, sodium metal batteries (SMBs) have surfaced as a highly promising alternative to conventional lithium-ion systems. Leveraging the abundant availability of sodium and benefiting from a supply chain less susceptible to geopolitical and economic fluctuations, SMBs present a compelling case for large-scale adoption. However, critical challenges have hampered their practical deployment, specifically the demand for ultrafast charging rates coupled with long cycle life and robust safety profiles. Addressing these issues has pushed researchers to innovate beyond the conventional boundaries of electrolyte design, and a groundbreaking approach has now emerged that promises to reshape the fundamental limits of SMB performance.

Conventional quasi-solid-state electrolytes (QSEs), while offering some advantages in terms of safety and mechanical integrity compared to liquid electrolytes, are significantly hindered by two primary bottlenecks. First, the transport of sodium ions (Na⁺) through the bulk electrolyte is inhibited due to the dominant movement of anions, resulting in reduced Na⁺ transference numbers typically ranging between 0.4 to 0.7. This imbalance precipitates concentration polarization, reducing the effective ionic mobility at high current densities and limiting ultrafast charging capabilities. Second, ionic diffusion at the interfaces between electrolyte and electrodes—the bilateral interphases—is often sluggish, fostering dendrite formation on the anode and accelerating electrolyte degradation, thereby compromising both longevity and safety of SMBs.

Shattering these limitations, a research consortium from Southeast University, in partnership with HiNa Battery Technology Co., Ltd. and Yangzhou University, has introduced an innovative dual interlocked mediator electrolyte system. This novel quasi-solid-state electrolyte, designated as Sn-FB QSE, achieves near-unity Na⁺ transference numbers alongside exceptional ionic conductivity without resorting to complex polymer functionalizations typically required in single-ion conducting strategies. The secret lies in the synergistic engineering of two mediators—cationic Sn²⁺ ions and anionic difluoro(oxalato)borate (DFOB⁻)—that simultaneously modulate the bulk electrolyte structure and interfacial chemistry, delivering unprecedented electrochemical performance tailored for ultrafast charging and extended battery life.

The dual interlocked mediator mechanism operates on two intertwined fronts. During the synthesis phase, Sn²⁺ initiates a controlled in situ cationic polymerization of 1,3-dioxolane (PDOL), constructing a uniformly cross-linked amorphous polymer network that imparts mechanical strength while facilitating ion transport. Simultaneously, DFOB⁻ acts as a polymerization retarder, preventing excessive cross-linking and maintaining an optimal network polydispersity index around 1.6—a value significantly lower than single-mediator systems—thus balancing mechanical robustness with ion mobility. This finely tuned polymer matrix strengthens puncture resistance to 8.5 kPa, crucial for preventing dendrite penetration while supporting flexible form factors.

At the molecular level, sophisticated simulations reveal that DFOB⁻ preferentially coordinates with Na⁺ ions, effectively attenuating the strong Na⁺-polymer oxygen interactions that traditionally bind salts tightly within polymer matrices. This chemical modulation reduces the average coordination number from 4.87 to 2.81, liberating a substantial fraction of free Na⁺ ions that are free to migrate swiftly through the electrolyte. The resulting diffusion coefficient, calculated at 16.8 Ų/ns, marks a sixfold enhancement over conventional liquid electrolytes, thereby enabling rapid Na⁺ conduction even under aggressive charging regimes.

Upon cell operation, an elegant interfacial transformation ensues shaped by the distinct frontier orbital energies of the two mediators. Sn²⁺$, possessing a low LUMO energy level of −4.87 eV, is preferentially reduced at the sodium metal anode surface, forming a hybrid solid-electrolyte interphase (SEI) composed of nano-scale NaSn alloys embedded within inorganic-rich matrices. This SEI effectively homogenizes local electric fields, dramatically reducing nucleation overpotentials to approximately 50 mV and creating a mechanically stable protective barrier that mitigates dendrite initiation and growth. Concurrently, the DFOB⁻ anion, with its higher HOMO energy of −8.12 eV, undergoes sacrificial oxidation at the cathode to establish a thin yet resilient cathode–electrolyte interphase (CEI) approximately 14 nm thick. This CEI exhibits an extraordinary Young’s modulus near 8.9 GPa, an order of magnitude greater than single-mediator counterparts, mitigating mechanical degradation during repeated cycling.

Electrochemical testing validates the transformative impact of this dual mediator approach. Symmetric Na|Na cells sustain stable cycling over an unprecedented 6000 hours at 0.1 mA cm⁻² with minimal polarization (~0.1 V) and no dendritic short-circuit events, comparable to nearly continuous operation for over eight months. The critical current density surges to 3.0 mA cm⁻², while the exchange current density rises to 10 μA cm⁻², reflecting enhanced interfacial kinetics. When paired with Na₃V₂(PO₄)₃ (NVP) cathodes, full cells demonstrate retention of 90% capacity after 2000 cycles at a rapid 3C charge-discharge rate, retaining 80.1 mAh g⁻¹ at an extraordinary 15C, and maintaining 53.4 mAh g⁻¹ after 800 cycles even at 5C. The electrochemical stability window is also broadly expanded to 4.7 V vs. Na⁺/Na, paving the way for compatibility with high-voltage cathode materials.

To bridge the gap between laboratory innovation and practical application, the research team scaled their Sn-FB QSE technology into high-mass-loading full cells containing 5 mg cm⁻² NVP cathodes, achieving 75% capacity retention after 500 cycles at 1C. Pouch cells without applied pressure, measuring 4 × 5 cm², demonstrated impressive mechanical resilience by retaining 84% capacity after 19 cycles and powering smartphones continuously even through repeated full folding. Additionally, compatibility with advanced sodium nickel iron manganese oxide (NaNi₁/₃Fe₁/₃Mn₁/₃O₂, NFM) cathodes with high mass loading (17.54 mg cm⁻²) was confirmed, showcasing initial capacities of 129.9 mAh g⁻¹ and stable cycling performance over multiple cycles, indicating versatility across diverse cathode chemistries.

This pioneering dual interlocked mediator electrolyte paradigm overturns the long-standing trade-offs in electrolyte design—simultaneously achieving single-ion conduction, high mechanical strength, and adaptive bilateral interphases, properties traditionally viewed as mutually exclusive. By harnessing the complementary chemical and electronic properties of the Sn²⁺ and DFOB⁻ mediators, the approach delivers holistic control over ion transport and interfacial stability, unlocking performance metrics previously deemed unattainable for quasi-solid-state sodium electrolytes. Moreover, its intrinsic scalability via in situ polymerization and compatibility with existing battery manufacturing infrastructures spotlight this innovation as a viable candidate for commercial deployment.

Looking forward, this versatile mediator strategy harbors significant potential beyond sodium systems. Its principles may be extended to lithium and potassium metal batteries, where similar challenges in ion selectivity and interface stability prevail. Moreover, integrating this dual mediator system into fully solid-state configurations could yield safer, denser energy storage solutions with ultrafast charging capabilities. Concurrently, advancing mechanistic understanding through AI-guided frontier orbital screening may expedite the discovery of new mediator pairs optimized for specific chemistries, ushering an era of rational electrolyte design tailored to next-generation battery demands.

In essence, the dual interlocked mediator engineering approach pioneers a transformative paradigm for battery electrolytes that bridges performance, safety, and manufacturability. By breaking free from the restrictions imposed by traditional electrolyte designs, sodium metal batteries can now realistically aspire to meet the rigorous demands of ultrafast charging, long cycle life, and intrinsic safety at scale. This breakthrough marks a critical milestone propelling sodium batteries from a niche laboratory curiosity to a formidable contender in the mainstream energy storage landscape, drawing us closer to a sustainable energy future predicated on earth-abundant and cost-effective materials.

Subject of Research:
Article Title: Dual Interlocked Mediators Enable Single‑Ion‑Conducting Quasi‑Solid‑State Electrolytes for Ultrafast‑Charging Long‑Life Sodium Metal Batteries
News Publication Date: 21-May-2026
Web References: http://dx.doi.org/10.1007/s40820-026-02236-2
Image Credits: Yuan Zhang, Long Pan, Cheong Wa Leong, Xing-Guo Qi, Xiaozhong Huang, Xinyi Cai, Mufan Cao, Min Gao, Haoyu Zhang, Dawei Sha, Yang Zhou, ZhengMing Sun*

Keywords

Sodium Metal Batteries, Quasi-Solid-State Electrolytes, Single-Ion Conduction, Dual Interlocked Mediators, Sn-FB QSE, Polymer Electrolytes, Solid-Electrolyte Interphase, Cathode-Electrolyte Interphase, Ultrafast Charging, Electrochemical Stability, Ion Transport, Battery Cycle Life

In the realm of molecular science and materials engineering, the concept of chirality — objects or molecules that are mirror images but not superimposable — holds profound significance. Much like how the left and right human hands are structurally similar yet non-identical, chiral entities exhibit behavior and properties that are deeply influenced by their handedness. Chirality is a cornerstone in fields spanning biology, chemistry, and nanotechnology, fundamentally influencing everything from the twisting form of DNA to the design and efficacy of pharmaceuticals. Understanding and visualizing chirality at micro and nanoscale levels remains a critical yet elusive challenge in science.

A particularly promising avenue for characterizing chiral molecules and structures is the use of circularly polarized light within the terahertz (THz) frequency range. Occupying the electromagnetic spectrum between microwaves and infrared light, terahertz waves are exceptionally sensitive to collective molecular motions and subtle twisting modes inherent in chiral materials. Traditionally, however, the use of THz spectroscopy has been limited to bulk measurements that average responses across the entire sample, obscuring spatial variations in chirality critical for nuanced material characterization and biomedical applications.

Breakthrough research led by Professor Katsuhiko Miyamoto at Chiba University, Japan, alongside collaborators at Tohoku University and the National Institute for Materials Science, has shattered this constraint. By developing an innovative imaging technique based on terahertz circular dichroism (TCD) spectroscopy combined with precisely engineered moiré metasurfaces, the team has for the first time realized direct, high-resolution two-dimensional mapping of chirality distributions. This novel approach moves beyond mere chiral signal averaging and enables the visualization of chirality’s spatial heterogeneity with unprecedented clarity.

At the core of this advancement lies the crafting of moiré metasurfaces — meticulously fabricated nanostructured assemblies consisting of stacked microscopic silver disks with controlled lateral shifts and rotations at micrometer dimensions. These engineered surfaces exhibit intricate interference patterns that manifest as alternating right-handed and left-handed chiral regions. Their carefully calibrated geometry enables strong interaction with circularly polarized THz radiation, whereby distinct local circular dichroism spectral signatures arise from the underlying chirality variations.

Illuminating these metasurfaces with circularly polarized terahertz waves, the researchers observed spatially dependent differential absorption of left- versus right-handed polarization components. By spectroscopically analyzing these signals, they generated detailed images that revealed local chiral domains, with an impressive spatial resolution on the order of 100 micrometers — approximately the width of a single human hair. This level of resolution, coupled with the ability to distinguish coexisting opposite chirality within the same sample plane, marks a transformative leap beyond conventional THz measurement techniques.

The implications of this imaging methodology extend far beyond academic curiosity. The capacity to spatially resolve chirality opens new pathways for rigorous quality control in next-generation chiral materials, which are pivotal in advanced optics, quantum devices, and chiral photonics. Furthermore, it can drive breakthroughs in biomolecular analysis by enabling visualization of protein conformations and aggregates whose chiral nuances relate directly to their biological function or pathogenicity. Crucially, the non-invasive and label-free nature of this THz circular dichroism imaging makes it an attractive tool for probing delicate biological samples or sensitive nanofabricated structures without damage.

Professor Miyamoto described the work as a response to a fundamental gap in chirality characterization—while conventional methods had only provided averaged chirality information, the true spatial arrangement had remained a mystery. “Our motivation was simple but profound: to ask not just what chirality exists, but how it is distributed. Visualizing this spatial distribution unlocks a deeper understanding of chiral phenomena,” he said. Indeed, their approach integrates optics, materials science, and nanofabrication technologies to bring this vision to fruition.

Technically, the design and fabrication of the moiré metasurface demanded precise control over the nanoscale patterning of metallic disks, ensuring the subtle offsets necessary to generate spatially alternating twisting motifs. When excited with THz circularly polarized light, these motifs selectively absorb left- or right-handed polarization components, creating differential spectral fingerprints captured by a THz spectroscopic imaging system. By scanning the beam or analyzing the reflected/transmitted signals across the metasurface, spatial maps depicting circular dichroism intensity emerge, directly correlating with localized chirality.

Looking toward the future, the research team envisions expanding this technique’s frequency range to encompass 2 to 15 THz, which would enable even finer structural analyses and broaden its applicability. This frequency scalability is expected to enhance sensitivity to diverse molecular vibrations and chiral interactions, further refining diagnostic capabilities. Potential applications span the detection of abnormal protein aggregations implicated in neurodegenerative diseases, evaluation of chiral metamaterials for Beyond 5G and upcoming 6G communication technologies, and the investigation of subtle internal distortions within quantum and soft matter systems.

The advent of this terahertz circular dichroism imaging technique thus represents a pivotal advancement in chiral science, promising to catalyze scientific and technological innovation across multiple disciplines. By translating chiral phenomena into spatially resolved, spectrally rich images, researchers can now explore the complexities of chiral matter with a precision and depth that was previously unattainable. This work not only answers longstanding questions about the spatial nature of chirality but also lays the groundwork for future breakthroughs in medicine, materials science, and telecommunications.

As the field of nanofabrication continues to evolve, producing increasingly intricate and functional chiral architectures, having a reliable, non-destructive method to image chirality at microscale resolution is indispensable. The collaborative efforts between Chiba University, Tohoku University, and the National Institute for Materials Science have thus opened a new frontier in chirality research — one that bridges optical physics and material engineering with real-world applications on the horizon.

In summary, the groundbreaking imaging of chirality through terahertz circular dichroism spectroscopy combined with moiré metasurfaces redefines the capability to study handedness in materials. By unveiling a multiscale chiral landscape where right- and left-handed domains coexist and interact, this work paves the way for innovative diagnostic tools and advanced material evaluations, heralding a future where the mysteries of chirality are not only understood but visually mapped and manipulated for technological and biomedical gains.

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Subject of Research: Not applicable

Article Title: Multiscale chirality in moiré metasurfaces revealed by terahertz circular dichroism spectroscopic imaging

News Publication Date: June 2, 2026

Web References: https://www.cn.chiba-u.jp/en/news/

References:
Authors: Uina Chiba, Shota Tsuji, Gaku Oritani, Takumi Yoichi, Rinpei Sasaki, Takeo Minari, Seigo Ohno, Katsuhiko Miyamoto
Affiliations: Graduate School of Engineering, Chiba University; Research Center for Functional Materials, National Institute for Materials Science; Department of Physics, Tohoku University; Molecular Chirality Research Center, Chiba University
DOI: 10.1021/acsphotonics.6c00372

Image Credits: Professor Katsuhiko Miyamoto, Chiba University, Japan

Keywords

Chirality, Terahertz Circular Dichroism, Moiré Metasurfaces, Terahertz Imaging, Circularly Polarized Light, Nanofabrication, Chiral Metamaterials, Spectroscopic Imaging, Structural Biology, Advanced Optics, Nonlinear Optics, Quantum Materials

Researchers from the Faculty of Medical and Health Sciences (FCMS) at the Pontifical Catholic University of São Paulo (PUC-SP) in Sorocaba, in the interior of the state of São Paulo, Brazil, have developed a biomaterial containing jackfruit latex, pomegranate peel extract, and simvastatin (a statin-based medication) that shows promising efficacy in treating periodontitis.

In a groundbreaking revelation that challenges long-standing assumptions in the field of frost formation, researchers at the University of Illinois Urbana-Champaign have unveiled a previously unknown mechanism by which frost propagates on surfaces. Led by Professor Nenad Miljkovic from The Grainger College of Engineering, the team’s study introduces the discovery of “suspended ice bridges,” distinct spatial modes of ice bridge formation that occur in stark contrast to the conventional understanding whereby ice bridges grow strictly along the substrate. Their findings, published in the prestigious journal Nature Physics, not only deepen scientific comprehension of frost dynamics but also herald innovative strategies for designing anti-frosting surfaces critical to a wide range of engineering applications.

The formation and propagation of frost is a critical consideration in the design and operation of many technological systems, including but not limited to air-source heat pumps, refrigeration units, and aerospace components. At the microscopic scale, frost spreads primarily through the creation of ice bridges—connective formations that link neighboring supercooled liquid droplets, effectively enabling freezing fronts to advance rapidly across surfaces. For decades, it has been widely accepted, largely based on conventional top-view imaging methods, that these ice bridges advance in two dimensions, traveling along the solid substrate. The Illinois team’s novel research radically revises this view by revealing a three-dimensional aspect to ice bridge growth.

Employing advanced high-resolution optical microscopy complemented by a sophisticated technique known as focal plane shift imaging (FPSI), the researchers were able to visualize frost formation processes in unprecedented detail. This approach enabled them to identify two distinct modes of spatial ice bridge growth that depend heavily on surface wettability. On hydrophilic, or water-attracting, surfaces, ice bridges conform to existing models and propagate along the substrate, consistent with established understanding. Conversely, on superhydrophobic surfaces, which repel water, ice bridges exhibit a unique suspended growth mode, extending above the surface and bridging droplets through the air rather than along the solid interface beneath.

This suspended, or “out-of-plane,” mode of ice bridge formation represents a fundamental departure from previously accepted frost propagation models. Its discovery has been largely overlooked until now due to methodological constraints in prior experimental observations. The significance lies not only in its novelty but also in the profound implications it holds for frost management technologies. According to first author Dr. Siyan Yang, a postdoctoral researcher under Professor Miljkovic, the surface’s wettability is the pivotal parameter that controls the transition between these two ice bridge growth modes.

Through systematic experimentation varying the apparent contact angles of water droplets on different surfaces, the research team identified a critical threshold near 105 degrees. Above this value, typical of superhydrophobic surfaces, suspended ice bridges become the dominant frost propagation route. This insight adds a crucial layer to our understanding: wettability influences not just droplet behavior and spacing but fundamentally governs the three-dimensional architecture of ice bridge growth, redirecting freezing pathways and thereby affecting frost dynamics in ways not previously appreciated.

The researchers further elucidated the mechanisms governing the spatial mode of ice bridges by examining the droplet geometries and corresponding vapor diffusion pathways intrinsic to each surface type. On superhydrophobic surfaces, the geometric configuration of droplets alters the shortest path through which vapor diffuses, shifting it away from the substrate and favoring airborne bridge formation. This anatomical shift arises because droplets adopt a more spherical shape, which minimizes the area of contact with the underlying surface and affects vapor transport dynamics, creating conditions favorable for suspended ice bridges.

One of the most striking findings was the markedly slower growth rate of suspended ice bridges compared to their substrate-attached counterparts. This pronounced deceleration stems from the diminished thermal coupling between the suspended ice bridge and the cold substrate below, which effectively reduces the vapor pressure gradients responsible for driving ice accretion. Consequently, frost propagation is substantially impeded on superhydrophobic surfaces displaying suspended ice bridge formation, representing a potent natural defense against frost accumulation.

Experimentally, the Illinois team demonstrated that frost propagation speed can be diminished by more than 80 percent on surfaces promoting the suspended ice bridge mode. This breakthrough has immediate practical relevance, as it directly translates to enhanced operational efficiencies and prolonged performance lifetimes in frost-sensitive systems. To validate this, the researchers extended their experimental framework to encompass commercial finned-tube heat exchangers. These components are ubiquitous in heating, ventilation, air conditioning (HVAC), and refrigeration systems and often suffer from efficiency losses due to frost buildup.

The results obtained from tests on these heat exchangers corroborated the laboratory findings, showcasing that surfaces engineered to support suspended ice bridges can dramatically delay the onset of frost, slow its propagation, and consequently sustain optimal heat transfer performance over extended periods. This represents a crucial advancement in linking microscopic frost structure behavior to macroscopic system-level outcomes. By providing this mechanistic understanding, the research opens the door to the rational design of surfaces that strategically manipulate ice bridge formation to curb frost accumulation and improve energy efficiency.

This discovery also challenges the conventional two-dimensional framework of frost propagation, calling for a re-examination of theoretical models from a three-dimensional perspective. Recognizing that ice bridge growth can extend above the surface plane compels scientists and engineers to reconsider frost formation dynamics and interfacial heat transfer processes in materials and devices exposed to frost conditions. The new paradigm not only reshapes fundamental phase change science but could ripple across disciplines involved in thermal management and surface science.

Professor Miljkovic underscored the transformative potential of these findings by emphasizing how the deeper understanding of ice bridge formation will catalyze innovative surface engineering efforts. These efforts aim to tailor interfacial properties to regulate frost spreading deliberately, fostering more energy-efficient thermal management and phase change systems. The possibility of controlling frost at the microscale through surface wettability and geometry adjustments marks a pivotal step toward technologically advanced, frost-resilient surfaces.

Dr. Siyan Yang’s role as principal experimenter and co-author underscores the multidisciplinary expertise fueling the breakthrough. Her extensive research in frost nucleation, propagation mechanisms, and anti-icing surface design has led to numerous influential publications in high-impact journals and multiple invention patents. The convergence of physics, materials science, and engineering in this study exemplifies the burgeoning field of interface-driven energy transport phenomena.

Together with a diverse team of collaborators, Miljkovic and Yang’s pioneering work redefines the fundamental science of frost formation, presenting suspended ice bridges as a novel, three-dimensional mechanism with profound implications for future research and practical applications. This advancement represents a seminal leap, promising not only enhanced understanding but also transformative technologies for energy and thermal management systems facing the perennial challenge of frost.

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Subject of Research: Frost propagation mechanisms and surface-driven ice bridge formation during sessile droplet freezing.

Article Title: Growth and control of suspended ice bridges during sessile droplet freezing

News Publication Date: 28-May-2026

Web References:
https://www.nature.com/articles/s41567-026-03296-2
http://dx.doi.org/10.1038/s41567-026-03296-2

References:
Yang, S., Chu, F., Ganesan, V., Faghihi, P., Ghaddar, D., Zhang, W., Liu, J., Yang, J.B., Huang, A., Boyina, K., Chettiar, K., Dewanjee, S., Aflatounian, S., Khan, R., Braun, P.V., Feng, J., Poulikakos, D., Miljkovic, N. (2026). Growth and control of suspended ice bridges during sessile droplet freezing. Nature Physics.

Image Credits: The Grainger College of Engineering at the University of Illinois Urbana-Champaign

Keywords

Frost propagation, ice bridges, suspended ice bridges, superhydrophobic surfaces, hydrophilic surfaces, sessile droplet freezing, surface wettability, frost mitigation, vapor diffusion pathways, thermal management, phase change phenomena, anti-frost surfaces

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