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Shedding light on ultrafast heat transport in graphene

Shedding light on ultrafast heat transport in graphene

Managing heat efficiently is one of the great challenges in the development of next-generation electronic and optoelectronic devices. At the nanoscale, energy moves in ways that defy classical descriptions of heat transfer. Houssem Rezgui, researcher from the Sotomayor research group at INL, has now provided new insights into how energy flows in graphene when excited with ultrafast laser pulses. Their work, published as a Letter in Journal of Physics D: Applied Physics, explores how electrons and vibrations in the lattice (known as phonons) interact in timeframes shorter than a trillionth of a second. Graphene, with its remarkable electronic and thermal properties, is an ideal platform for probing these processes. When struck by a femtosecond laser pulse, graphene enters a highly non-equilibrium state: electrons absorb the incoming energy almost instantly, and only afterward begin to share it with the lattice. Traditionally, this sequence has been described by the two-temperature model, which assumes that electrons and phonons equilibrate in a straightforward way. However, the INL researcher shows that reality is more complex. Using an extended temperature model, Rezgui revealed that different phonon branches respond at distinct timescales, with longitudinal acoustic phonons playing a key role in energy absorption and redistribution. Strikingly, their […]

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Magnetic nanowires take hydrogen production to the next level

Magnetic nanowires take hydrogen production to the next level

As the world looks for cleaner ways to produce energy, green hydrogen (fuel made from water and renewable electricity) is gaining attention as a promising solution. To make green hydrogen affordable and efficient, better catalysts are needed to speed up the chemical reactions involved. Researchers at INL – International Iberian Nanotechnology Laboratory have developed a new type of magnetic catalyst that could change the game. Their findings, recently published in ACS Nano, reveal how these magnetic nanowires efficiently catalyse the oxygen evolution reaction, a key reaction in hydrogen production from water. The research team led by Yury Kolen’ko created cobalt ferrite (CoFe2O4) nanowires using a technique called electrospinning, which forms ultra-thin fibres by using an electric field to draw solid threads from a liquid solution; imagine sugar being spun into cotton candy, but at the nanoscale. By precisely controlling the calcination temperature, the team transformed the fibres into nanowires with excellent magnetic properties, critical for their catalytic performance. Why does magnetism matter? The oxygen molecules, which are formed during the water-splitting process, have a special triplet spin state. When the catalyst is magnetic, it can influence the spin alignment of the reaction intermediates, guiding the reaction to proceed faster and […]

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Eco-friendly sensor developed at INL enables rapid detection of pharmaceutical contaminants in water

Eco-friendly sensor developed at INL enables rapid detection of pharmaceutical contaminants in water

Pharmaceutical waste in water sources is becoming a growing environmental concern. Among the most common pollutants are paracetamol and 4-aminophenol, a related compound that can appear as a contaminant or breakdown product. These substances persist in urban wastewater and surface waters, potentially harming aquatic ecosystems and human health. Detecting them accurately and efficiently is crucial for environmental protection and risk management. Researchers at INL from Espiña’s research group have designed an innovative electrochemical sensor that can simultaneously detect both pharmaceuticals at very low concentrations. The sensor uses carbon screen-printed electrodes modified with specially functionalised carbon nanofibers, which enhance sensitivity and selectivity. This study published in the journal Sensing and Bio-Sensing Research, describes a solution for portable, cost-effective, and environmentally friendly tool for water quality monitoring. Traditional methods for identifying pharmaceutical contaminants often rely on complex laboratory techniques such as chromatography and spectrometry. While highly precise, these require expensive equipment, trained personnel, and time-consuming sample preparation, limiting their use for routine or on-site testing. In contrast, electrochemical sensors like the one developed by the INL team led by Raquel Queirós, provide rapid, real-time results with minimal costs. The research team compared different transducer materials, finding that carbon-based ones performed better than […]

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Magnetic 1D van der Waals heterostructure

Magnetic 1D van der Waals heterostructure

A new spin on magnetism: INL researchers create 1D magnetic nanotubesResearchers at the International Iberian Nanotechnology Laboratory (INL) in Braga, Portugal, have achieved a major breakthrough at the intersection of quantum materials and nanotechnology. In a new study published in Communications Chemistry, they report the synthesis and atomic-scale characterisation of high-quality, single-walled hollow magnetic CrI₃ nanotubes – a landmark advance in the control of low-dimensional magnetism. What distinguishes this work is the confinement of the iconic layered ferromagnet CrI₃ within the innermost cavities of multiwall carbon nanotubes (MWCNTs). This structural innovation yields truly 1D magnetic heterostructures with unprecedented aspect ratios. “This is not just a structural feat, it’s a conceptual leap forward to develop a fully isolated, truly 1D magnetic heterostructure.”, says the first author Ihsan Çaha. Exploring magnetic states This study raises new questions about magnetism at the nanoscale. Using X-ray magnetic circular dichroism (XMCD) at the ALBA Synchrotron in Spain, the researchers observed unusual magnetic behavior in the CrI₃ nanotubes. “Our XMCD results carried out at ALBA synchrotron show that chromium atoms retain magnetism, but act like paramagnets with minimal remanence,” explains Aqrab ul Ahmad. “This behaviour hints at an intriguing suppression of long-range magnetic order, until now, unexplored.” Theoretical insight […]

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Intelligent biosensor developed at INL combines NMR and AI to improve infectious disease diagnostics

Intelligent biosensor developed at INL combines NMR and AI to improve infectious disease diagnostics

In the fight against infectious diseases, rapid and accurate diagnosis is key to effective treatment and control. INL researchers have developed a breakthrough biosensor that combines cutting-edge nuclear magnetic resonance (NMR) technology with artificial intelligence. This portable device not only speeds up diagnosis but also provides detailed insights into the immune response, opening new possibilities for point-of-care testing. The study, led by Juan Gallo and Weng Kung Peng published in the journal Biosensors and Bioelectronics, demonstrates how this innovative approach can detect viral infections and monitor patient recovery faster and more precisely than traditional methods, all within a compact, user-friendly system. The technology uses magnetic nanoparticles specifically designed to detect viral particles, as well as the immune response they trigger in the body. When these nanoparticles bind to target molecules in a small biological sample, they cause measurable changes in the sample’s magnetic properties. These changes are captured by the portable NMR system and translated into meaningful diagnostic information using machine learning models. “What sets this system apart is its ability to offer a more complete picture of the patient’s status,” explains Juan Gallo. “It doesn’t just tell you if someone is infected – it can help determine whether they […]

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Graphene-based biosensor breaks detection records for non-invasive monitoring of diabetes

Graphene-based biosensor breaks detection records for non-invasive monitoring of diabetes

A breakthrough biosensor detects glucose in human tears at ultra-low concentrations, opening new avenues for wearable health monitoring technologies. In a significant leap toward the future of diabetes care, INL researchers have developed a graphene-based biosensor capable of detecting glucose at attomolar levels—representing the lowest detection limits ever achieved for this crucial biomarker. It’s comparable to finding a single grain of sugar dissolved in an entire lake. The study, published in the Journal of the American Chemical Society and led by Dr. Andrea Capasso at INL, introduces an ultra-sensitive glucose sensor based on graphene field-effect transistor (GFET) technology. Engineered to operate with extremely small volumes of biological fluid – down to a single tear -, this device has the potential to revolutionise glucose monitoring, particularly in non-invasive and wearable systems. The researchers developed a targeted graphene functionalisation using glucose oxidase (GOx), enabling highly selective glucose recognition. They then employed advanced spectroscopic and microscopic techniques to analyse the graphene’s chemical composition and surface modifications at each stage of functionalisation, from enzyme immobilisation to interaction with the target analyte. “While finger-prick sensors remain the clinical standard for diabetes monitoring, they are often perceived as uncomfortable and invasive,” says Dr. Capasso. “Our goal […]

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No assumptions: just quantum advantage

No assumptions: just quantum advantage

INL researcher Michael de Oliveira, together with collaborators from the University of Cambridge and the Hon Hai (Foxconn) Quantum Computing Research Center, has published a new article in Nature Communications demonstrating that even small, noisy quantum circuits can outperform certain types of classical computation, without relying on assumptions or ideal conditions. This study focuses on constant-depth quantum circuits, meaning that all operations happen in parallel in a very short time – like multiple people completing a task simultaneously rather than one after another. The researchers show that these simple quantum circuits can solve specific problems that no classical circuit of the same kind and size can solve, even when those classical circuits are modelled after neural networks, with tuneable flexibility. The classical models studied here (biased threshold circuits) are used in theoretical models of machine learning and resemble basic neural networks. Despite the authors considering versions with low bias – and therefore greater versatility – they are still outperformed by shallow quantum circuits, even when the quantum devices are noisy or imperfect. What makes this breakthrough particularly important is that it applies to qudits (quantum systems that go beyond binary bits or qubits), and the results are valid across all […]

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Advancing neuronal research using 3D polymeric micro-scaffolds integrated with quantum sensors

Advancing neuronal research using 3D polymeric micro-scaffolds integrated with quantum sensors

A recent research study from INL has successfully merged two cutting-edge 3D tissue engineering strategies – 3D polymeric scaffolds and 3D neuronal spheroids – to create a highly advanced model for studying neuronal behaviour and disease. The collaboration between biomedical engineers, physicists, and neuroscientists has led to the development of a smart polymeric scaffold integrated with fluorescent nanodiamonds, that reveals to be a powerful quantum sensing tool. These low auto-fluorescence scaffolds, fabricated using laser-based 3D microprinting, were designed to be both biocompatible and capable of hosting 3D neuronal spheroids. The fluorescent nanodiamonds embedded within the scaffolds provide the potential for real-time monitoring of magnetic signals and temperature shifts at the nanoscale, providing a new level of precision in studying cellular signalling, disease mechanisms, and drug responses. Beatriz Costa, the first author of this study, emphasises the significance of the work: “The use of low-autofluorescence 3D polymeric scaffolds enabled the integration of quantum metrology techniques with nanodiamonds. When combined with 3D neuronal cell aggregates, this approach holds great potential for in-depth studies of neurodegenerative diseases and beyond.” The study’s success lies in its ability to use these scaffolds to host dopaminergic neurons, crucial to Parkinson’s disease research, and demonstrate the neurons’ […]

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INL group leader Begoña Espiña appointed as Water Europe Expert 

INL group leader Begoña Espiña appointed as Water Europe Expert 

On World Water Day 2025, INL proudly announces that Begoña Espiña, research group leader at INL, has been appointed as a member of the ZeroPollution & Health Expert Group of Water Europe. This recognition highlights Espiña’s exceptional contributions to water quality research, specifically in developing portable and automated devices for the selective detection and quantification of chemical and biological contaminants in water. Begoña Espiña has been at the forefront of research aimed at understanding the fate, bioaccumulation, and toxicity of nanomaterials in water, with a particular focus on implementing the safe-by-design concept. Since 2016, her work has played a crucial role in addressing global water challenges, making her appointment a well-deserved recognition of her dedication and expertise.Her new role within the ZeroPollution & Health Expert Group is a testament to the importance of INL’s ongoing commitment to advancing water quality and sustainability. Today, as we are celebrating World Water Day, we are reminded of the importance of collective efforts in safeguarding our most precious resource – water. Whether through scientific research, policy development, or community action, each of us plays a role in ensuring a sustainable and water-secure future for generations to come. We congratulate Begoña Espiña on this fantastic […]

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