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Optical technique measures intramolecular distances with angstrom precision

Physicists in Germany have used visible light to measure intramolecular distances smaller than 10 nm thanks to an advanced version of an optical fluorescence microscopy technique called MINFLUX. The technique, which has a precision of just 1 angstrom (0.1 nm), could be used to study biological processes such as interactions between proteins and other biomolecules inside cells.

In conventional microscopy, when two features of an object are separated by less than half the wavelength of the light used to image them, they will appear blurry and indistinguishable due to diffraction. Super-resolution microscopy techniques can, however, overcome this so-called Rayleigh limit by exciting individual fluorescent groups (fluorophores) on molecules while leaving neighbouring fluorophores alone, meaning they remain dark.

One such technique, known as nanoscopy with minimal photon fluxes, or MINFLUX, was invented by the physicist Stefan Hell. First reported in 2016 by Hell’s team at the Max Planck Institute (MPI) for Multidisciplinary Sciences in Göttingen, MINFLUX first “switches on” individual molecules, then determines their position by scanning a beam of light with a doughnut-shaped intensity profile across them.

The problem is that at distances of less than 5 to 10 nm, most fluorescent molecules start interacting with each other. This means they cannot emit fluorescence independently – a prerequisite for reliable distance measurements, explains Steffen Sahl, who works with Hell at the MPI.

Non-interacting fluorescent dye molecules

To overcome this problem, the team turned to a new type of fluorescent dye molecule developed in Hell’s research group. These molecules can be switched on in succession using UV light, but they do not interact with each other. This allows the researchers to mark the positions they want to measure with single fluorescent molecules and record their locations independently, to within as little as 0.1 nm, even when the dye molecules are close together.

“The localization process boils down to relating the unknown position of the fluorophore to the known position of the centre of the doughnut beam, where there is minimal or ideally zero excitation light intensity,” explains Hell. “The distance between the two can be inferred from the excitation (and hence the fluorescence) rate of the fluorophore.”

The advantage of MINFLUX, Hell tells Physics World, is that the closer the beam’s intensity minimum gets to the fluorescent molecule, the fewer fluorescence photons are needed to pinpoint the molecule’s location. This takes the burden of producing localizing photons – in effect, tiny lighthouses signalling “Here I am!” – away from the relatively weakly-emitting molecule and shifts it onto the laser beam, which has photons to spare. The overall effect is to reduce the required number of detected photons “typically by a factor of 100”, Hell says, adding that this translates into a 10-fold increase in localization precision compared to traditional camera-based techniques.

“A real alternative” to existing measurement methods

The researchers demonstrated their technique by precisely determining distances of 1–10 nanometres in polypeptides and proteins. To prove that they were indeed measuring distances smaller than the size of these molecules, they used molecules of a different substance, polyproline, as “rulers” of various lengths.

Polyproline is relatively stiff and was used for a similar purpose in early demonstrations of a method called Förster resonance energy transfer (FRET) that is now widely used in biophysics and molecular biology. However, FRET suffers from fundamental limitations on its accuracy, and Sahl thinks the “arguably surprising” 0.1 nm precision of MINFLUX makes it “a real alternative” for monitoring sub-10-nm distances.

While it had long been clear that MINFLUX should, in principle, be able to resolve distances at the < 5 nm scale and measure them to sub-nm precision, Hell notes that it had not been demonstrated at this scale until now. “Showing that the technique can do this is a milestone in its development and demonstration,” he says. “It is exciting to see that we can resolve fluorescence molecules that are so close together that they literally touch.” Being able to measure these distances with angstrom precision is, Hell adds, “astounding if your bear in mind that all this is done with freely propagating visible light focused by a conventional lens”.

“I find it particularly fascinating that we have now gone to the very size scale of biological molecules and can quantify distances even within them, gaining access to details of their conformation,” Sahl adds.

The researchers say that one of the key prerequisites for this work (and indeed all super-resolution microscopy developed to date) was the sequential ON/OFF switching of the fluorophores emitting fluorescence. Because any cross-talk between the two molecules would have been problematic, one of the main challenges was to identify fluorescence molecules with truly independent behaviour – that is, ones in which the silent (OFF-state) molecule did not affect its emitting (ON-state) neighbour and vice versa.

Looking forward, Hell says he and his colleagues are now looking to develop and establish MINFLUX as a standard tool for unravelling and quantifying the mechanics of proteins.

The research is published in Science.

Daily adaptive proton therapy employed in the clinic for the first time

Adaptive radiotherapy – in which a patient’s treatment is regularly replanned throughout their course of therapy – can compensate for uncertainties and anatomical changes and improve the accuracy of radiation delivery. Now, a team at the Paul Scherrer Institute’s Center for Proton Therapy has performed the first clinical implementation of an online daily adaptive proton therapy (DAPT) workflow.

Proton therapy benefits from a well-defined Bragg peak range that enables highly targeted dose delivery to a tumour while minimizing dose to nearby healthy tissues. This precision, however, also makes proton delivery extremely sensitive to anatomical changes along the beam path – arising from variations in mucus, air, muscle or fat in the body – or changes in the tumour’s position and shape.

“For cancer patients who are irradiated with protons, even small changes can have significant effects on the optimal radiation dose,” says first author Francesca Albertini in a press statement.

Online plan adaptation, where the patient remains on the couch during the replanning process, could help address the uncertainties arising from anatomical changes. But while this technique is being introduced into photon-based radiotherapy, daily online adaptation has not yet been applied to proton treatments, where it could prove even more valuable.

To address this shortfall, Albertini and colleagues developed a three-phase DAPT workflow, describing the procedure in Physics in Medicine & Biology. In the pre-treatment phase, two independent plans are created from the patient’s planning CT: a “template plan” that acts as a reference for the online optimized plan, and a “fallback plan” that can be selected on any day as a back-up if necessary.

Next, the online phase involves acquiring a daily CT before each irradiation, while the patient is on the treatment couch. For this, the researchers use an in-room CT-on-rails with a low-dose protocol. They then perform a fully automated re-optimization of the treatment plan based on the daily CT image. If the adapted plan meets the required clinical goals and passes an automated quality assurance (QA) procedure, it is used to treat the patient. If not, the fallback plan is delivered instead.

Finally, in the offline phase, the delivered dose in each fraction is recalculated retrospectively from the log files using a Monte Carlo algorithm. This step enables the team to accurately assess the dose delivered to the patient each day.

First clinical implementation

The researchers employed their DAPT protocol in five adults with tumours in rigid body regions, such as the brain or skull base. As this study was designed to demonstrate proof-of-principle and ensure clinical safety, they specified some additional constraints: only the last few consecutive fractions of each patient’s treatment course were delivered using DAPT; the plans used standard field arrangements and safety margins; and the template and fallback plans were kept the same.

“It’s important to note that these criteria are not optimized to fully exploit the potential clinical benefits of our approach,” the researchers write. “As our implementation progresses and matures, we anticipate refining these criteria to maximize the clinical advantages offered by DAPT.”

Across the five patients, the team performed DAPT for 26 treatment fractions. In 22 of these, the online adapted plans were chosen for delivery. In three fractions, the fallback plan was chosen due to a marginal dose increase to a critical structure, while for one fraction, the fallback plan was utilized due to a miscommunication. The team emphasize that all of the adapted plans passed the online QA steps and all agreed well with the log file-based dose calculations.

The daily adapted plans provided target coverage to within 1.1% of the planned dose and, in 92% of fractions, exhibited improved dose metrics to the targets and/or organs-at-risk (OARs). The researchers observed that a non-DAPT delivery (using the fallback plan) could have significantly increased the maximum dose to both the target and OARs. For one patient, this would have increased the dose to their brainstem by up to 10%. In contrast, the DAPT approach ensured that the OAR doses remained within the 5% threshold for all fractions.

Albertini emphasizes, however, that the main aim of this feasibility study was not to demonstrate superior plan quality with DAPT, but rather to establish that it could be implemented safely and efficiently. “The observed decrease in maximum dose to some OARs was a bonus and reinforces the potential benefits of adaptive strategies,” she tells Physics World.

Importantly, the DAPT process took just a few minutes longer than a non-adaptive session, averaging just above 23 min per fraction (including plan adaptation and assessment of clinical goals). Keeping the adaptive treatment within the typical 30-min time slot allocated for a proton therapy fraction is essential to maintain the patient workflow.

To reduce the time requirement, the team automated key workflow components, including the independent dose calculations. “Once registration between the daily and reference images is completed, all subsequent steps are automatically processed in the background, while the users are evaluating the daily structure and plan,” Albertini explains. “Once the plan is approved, all the QA has already been performed and the plan is ready to be delivered.

Following on from this first-in-patient demonstration, the researchers now plan to use DAPT to deliver full treatments (all fractions), as well as to enable margin reduction and potentially employ more conformal beam angles. “We are currently focused on transitioning our workflow to a commercial treatment planning system and enhancing it to incorporate deformable anatomy considerations,” says Albertini.

Imaging method could detect Parkinson’s disease up to 20 years before symptoms appear

Researchers at Tel Aviv University in Israel have developed a method to detect early signs of Parkinson’s disease at the cellular level using skin biopsies. They say that this capability could enable treatment up to 20 years before the appearance of motor symptoms characteristic of advanced Parkinson’s. Such early treatment could reduce neurotoxic protein aggregates in the brain and help prevent the irreversible loss of dopamine-producing neurons.

Parkinson’s disease is the second most common neurodegenerative disease in the world. The World Health Organization reports that its prevalence has doubled in the past 25 years, with more than 8.5 million people affected in 2019. Diagnosis is currently based on the onset of clinical motor symptoms. By the time of diagnosis, however, up to 80% of dopaminergic neurons in the brain may already be dead.

The new method combines a super-resolution microscopy technique, known as direct stochastic optical reconstruction microscopy (dSTORM), with advanced computational analysis to identify and map the aggregation of alpha-synuclein (αSyn), a synaptic protein that regulates transmission in nerve terminals. When it aggregates in brain neurons, αSyn causes neurotoxicity and impacts the central nervous system. In Parkinson’s disease, αSyn begins to aggregate about 15 years before motor symptoms appear.

Importantly, αSyn aggregates also accumulate in the skin. With this in mind, principal investigator Uri Ashery and colleagues developed a method for quantitative assessment of Parkinson’s pathology using skin biopsies from the upper back. The technique, which enables detailed characterization of nano-sized αSyn aggregates, will hopefully facilitate the development of a new molecular biomarker for Parkinson’s disease.

“We hypothesized that these αSyn aggregates are essential for understanding αSyn pathology in Parkinson’s disease,” the researchers write. “We created a novel platform that revealed a unique fingerprint of αSyn aggregates. The analysis detected a larger number of clusters, clusters with larger radii, and sparser clusters containing a smaller number of localizations in Parkinson’s disease patients relative to what was seen with healthy control subjects.”

The researchers used dSTORM to analyse skin biopsies from seven patients with Parkinson’s disease and seven healthy controls, characterizing nanoscale αSyn based on quantitative parameters such as aggregate size, shape, distribution, density and composition.

Super-resolution imaging

Their analysis revealed a significant decrease in the ratio of neuronal marker molecules to phosphorylated αSyn molecules (the pathological form of αSyn) in biopsies from Parkinson’s disease patients, suggesting the existence of damaged nerve cells in fibres enriched with phosphorylated αSyn.

The researchers determined that phosphorylated αSyn is organized into dense aggregates of approximately 75 nm in size. They also found that that patients with Parkinson’s disease had a higher number of αSyn aggregates than the healthy controls, with larger αSyn clusters (75 nm compared with 69 nm).

“Parkinson’s disease diagnosis based on quantitative parameters represents an unmet need that offers a route to revolutionize the way Parkinson’s disease and potentially other neurodegenerative diseases are diagnosed and treated,” Ashery and colleagues conclude.

In the next phase of this work, supported by the Michael J. Fox Foundation for Parkinson’s Research, the researchers will increase the number of subjects to 90 to identify differences between patients with Parkinson disease and healthy subjects.

“We intend to pinpoint the exact juncture at which a normal quantity of proteins turns into a pathological aggregate,” says lead author Ofir Sade in a press statement. “In addition, we will collaborate with computer science researchers to develop a machine learning algorithm that will identify correlations between results of motor and cognitive tests and our findings under the microscope. Using this algorithm, we will be able to predict future development and severity of various pathologies.”

“The machine learning algorithm is intended to spot young individuals at risk for Parkinson’s,” Ashery adds. “Our main target population are relatives of Parkinson’s patients who carry mutations that increase the risk for the disease.”

The researchers report their findings in Frontiers in Molecular Neuroscience.

Ask me anything: Raghavendra Srinivas – ‘Experimental physics is never boring’

What skills do you use every day in your job?

One of my favourite parts of being an atomic physicist is the variety. I get to work with lasers, vacuums, experimental control software, simulations, data analysis and physics theory.

As I’m transitioning to a more senior position, the skills I use have changed. Rather than doing most of the lab-based work myself, I now have a more supervisory role on some projects. I go to the lab when I can but it’s certainly different. I’m also teaching a second-year quantum mechanics course, which requires its own skillset. I try to use my experience to impart more of an experimental flavour. The field is now in an exciting place where we can not only think about experiments with single quantum systems, but actually do them.

It’s important to have the right structures in place to deliver complex projects with many moving parts

I also work part-time at a trapped-ion quantum computing company, Oxford Ionics, which has grown from about 20 to over 60 people since I started in 2021. Being involved in a team with so many people has taught me a lot about the importance of project management. It’s important to have the right structures in place to deliver complex projects with many moving parts. In addition, most of my company colleagues are also not physicists; it’s important to be able to communicate with people across a range of disciplines.

What do you like best and least about your job?

Experimental physics is never boring, as experiments always find new and wonderful ways to break: 90–99% of the time something needs fixing, but when it works it’s just magical.

I’ve been incredibly lucky to work with a fantastic group of people wherever I’ve been. Experimental physics cannot be done alone and I feel very privileged to work with colleagues who are passionate about what they do and have a wide variety of skills.

I also love the opportunities for outreach activities that my position affords me. Since I started at Oxford, I have led work placements as part of In2scienceUK and more recently helped start a week-long summer school for school students with the National Quantum Computing Centre. In many ways, I think promoting the idea that a career in quantum physics is accessible to anyone as long as they are willing to work hard is the most impactful work I can do.

I do dislike that as you spend longer in a field, more and more non-lab-based tasks creep into your calendar. I also find it difficult to switch between different tasks but that’s the price to pay for being involved in multiple projects.

What do you know today, that you wish you knew when you were starting out in your career?

It’s a difficult feeling for me to shake off even now, but when I started my career, I used to feel afraid to ask questions when I didn’t know something. I think it’s easy to fall into the trap of thinking it’s your fault, or that others will think less of you. However, I believe it’s better to see these instances as opportunities to learn rather than being embarrassed.

Scientifically, I think it’s also really important to be able to take a step back from the weeds of technical work and have an idea of the big-picture physics you’re trying to solve. I would have encouraged my past self to spend more time thinking deeply about physics, even beyond the field I was in. Just a couple of hours a week adds up over time without really taking away from other work.

It’s easy to pour yourself completely into a project, but it’s important to do this sustainably and avoid burnout

One last thing I’d tell my past self is to think about boundaries and find a healthy work-life balance. It’s easy to pour yourself completely into a project, but it’s important to do this sustainably and avoid burnout. Other aspects of life are important too.

Julia Sutcliffe: chief scientific adviser explains why policymaking must be underpinned by evidence

This episode of the Physics World Weekly podcast, features the physicist and engineer Julia Sutcliffe, who is chief scientific adviser to the UK government’s Department for Business and Trade.

In a wide-ranging conversation with Physics World’s Matin Durrani, Sutcliffe explains how she began her career as a PhD physicist before working in systems engineering at British Aerospace – where she worked on cutting-edge technologies including robotics, artificial intelligence, and autonomous systems. They also chat about Sutcliffe’s current role advising the UK government to ensure that policymaking is underpinned by the best evidence.

Eco-friendly graphene composite recovers gold from e-waste

A new type of composite material is 10 times more efficient at extracting gold from electronic waste than previous adsorbents. Developed by researchers in Singapore, the UK and China, the environmentally-friendly composite is made from graphene oxide and a natural biopolymer called chitosan, and it filters the gold without an external power source, making it an attractive alternative to older, more energy-intensive techniques.

Getting better at extracting gold from electronic waste, or e-waste, is desirable for two reasons. As well as reducing the volume of e-waste, it would lessen our reliance on mining and refining new gold, which involves environmentally hazardous materials such as activated carbon and cyanides. Electronic waste management is a relatively new field, however, and existing techniques like electrolysis are time-consuming and require a lot of energy.

A more efficient and suitable recovery process

Led by Kostya Novoselov and Daria Andreeva of the Institute for Functional Intelligent Materials at the National University of Singapore, the researchers chose graphene and chitosan because both have desirable characteristics for gold extraction. Graphene boasts a high surface area, making it ideal for adsorbing ions, they explain, while chitosan acts as a natural reducing agent, catalytically converting ionic gold into its solid metallic form.

While neither material is efficient enough to compete with conventional methods such as activated carbon on its own, Andreeva says they work well together. “By combining both of them, we enhance both the adsorption capacity of graphene and the catalytic reduction ability of chitosan,” she explains. “The result is a more efficient and suitable gold recovery process.”

High extraction efficiency

The researchers made the composite by getting one-dimensional chitosan macromolecules to self-assemble on two-dimensional flakes of graphene oxide. This assembly process triggers the formation of sites that bind gold ions. The enhanced extracting ability of the composite comes from the fact that the ion binding is cooperative, meaning that an ion binding at one site allows other ions to bind, too. The team had previously used similar methods in studies that focused on structures such as novel membranes with artificial ionic channels, anticorrosion coatings, sensors and actuators, switchable water valves and bioelectrochemical systems.

Once the gold ions are adsorbed onto the graphene surface, the chitosan catalyses the reduction of these ions, converting them from their ionic state into solid metallic gold, Andreeva explains. “This combined action of adsorption and reduction makes the process both highly efficient and environmentally friendly, as it avoids the use of harsh chemicals typically employed in gold recovery from electronic waste,” she says.

The researchers tested the material on a real waste mixture provided by SG Recycle Group SG3R, Pte, Ltd. Using this mixture, which contained gold in a residual concentration of just 3 ppm, they showed that the composite can extract nearly 17g/g of Au3+ ions and just over 6 g/g of Au+ from a solution – values that are 10 times larger than existing gold adsorbents. The material also has an extraction efficiency of above 99.5 percent by weight (wt%), breaking the current of limit of 75 wt%. To top it off, the ion extraction process is ultrafast, taking around just 10 minutes compared to days for other graphene-based adsorbents.

No applied voltage required

The researchers, who report their work in PNAS, say that the multidimensional architecture of the composite’s structure means that no applied voltage is required to adsorb and reduce gold ions. Instead, the technique relies solely on the chemisorption kinetics of gold ions on the heterogenous graphene oxide/chitosan nanoconfinement channels and the chemical reduction at multiple binding sites. The new process therefore offers a cleaner, more efficient and environmentally-friendly method for recovering gold from electronic waste, they add.

While the present work focused on gold, the team say the technique could be adapted to recover other valuable metals such as silver, platinum or palladium from electronic waste or even mining residues. And that is not all: as well as e-waste, the technology might be applied to a wider range of environmental cleaning efforts, such as filtering out heavy metals from polluted water sources or industrial effluents. “It thus provides a solution for reducing metal contamination in ecosystems,” Andreeva says.

Other possible applications areas, she adds, include sustainable decarbonization and hydrogen production, low-dimensional building blocks for embedding artificial neural networks in hardware for neuromorphic computing and biomedical applications.

The Singapore researchers are now studying how to regenerate and reuse the composite material itself, to further reduce waste and improve the process’s sustainability. “Our ongoing research is focusing on optimizing the material’s properties, bringing us closer to a scalable, eco-friendly solution for e-waste management and beyond,” Andreeva says.

Cosmic antimatter could be created by annihilating WIMPs

Weakly interacting massive particles (WIMPs) are prime candidates for dark matter – but the hypothetical particles have never been observed directly. Now, an international group of physicists has proposed a connection between WIMPs and the higher-than-expected flux of antimatter cosmic rays  detected by NASA’s Alpha Magnetic Spectrometer (AMS-02) on the International Space Station.

Cosmic rays are high-energy charged particles that are created by a wide range of astrophysical processes including supernovae and the violent regions surrounding supermassive black holes. The origins of cosmic rays are not fully understood so they offer physicists opportunities to look for phenomena not described by the Standard Model of particle physics. This includes dark matter, a hypothetical substance that could account for about 85% of the mass in the universe.

If WIMPs exist, physicists believe that they would occasionally annihilate when they encounter one another to create matter and antimatter particles. Because WIMPs are very heavy, it is possible that these annihilations create antinuclei – the antimatter version of nuclei comprising antiprotons and antineutrons. Some of these antinuclei could make their way to Earth and be detected as cosmic rays

Now, a trio of researchers in Spain, Sweden, and the US has done new calculations that suggest that unexpected antinuclei detections made by AMS-02 could shed light on the nature of dark matter. The trio is led by Pedro De La Torre Luque at the Autonomous University of Madrid.

Heavy antiparticles

According to the Standard Model of particle physics, antinuclei should be an extremely small component of the cosmic rays measured by AMS-02. However, excesses of antideuterons (antihydrogen-2), antihelium-3  and antihelium-4 have been glimpsed in data gathered by AMS-02.

In previous work, De La Torre Luque and colleagues explored the possibility that these antinuclei emerged through the annihilation of WIMPs. Using AMS-02 data, the team put new constraints on the hypothetical properties of WIMPs.

Now, the trio has built on this work. “With this information, we calculated the fluxes of antideuterons and antihelium that AMS-02 could detect: both from dark matter, and from cosmic ray interactions with gas in the interstellar medium,” De La Torre Luque says. “In addition, we estimated the maximum possible flux of antinuclei from WIMP dark matter.”

This allowed the researchers to test whether AMS-02’s cosmic ray measurements are really compatible with standard WIMP models. According to De La Torre Luque, their analysis had mixed implications for WIMPs.

“We found that while the antideuteron events measured by AMS-02 are well compatible with WIMP dark matter annihilating in the galaxy, only in optimistic cases can WIMPs explain the detected events of antihelium-3,” he explains. “No standard WIMP scenario can explain the detection of antihelium-4.”

Altogether, the team’s results are promising for proponents of the idea that WIMPs are a component of dark matter. However, the research also suggest that the WIMP model in its current form is incomplete. To be consistent with the AMS-02 data, the researchers believe that a new WIMP model must further push the bounds of the Standard Model.

“If these measurements are robust, we may be opening the window for something very exotic going on in the galaxy, that could be related to dark matter, says De La Torre Luque. But it could also reveal some unexpected new phenomenon in the universe”. Ultimately, the researchers hope that the precision of their antinuclei measurements could bring us a small step closer to solving one of the deepest, most enduring mysteries in physics.

The research is described in the Journal of Cosmology and Astroparticle Physics.

First look at prototype telescope for the LISA gravitational-wave mission

NASA has released the first images of a full-scale prototype for the six telescopes that will be included in the €1.5bn Laser Interferometer Space Antenna (LISA) mission.

Expected to launch in 2035 and operate for at least four year, LISA is a space-based gravitational-wave mission led by the European Space Agency.

It will comprise of three identical satellites that will be placed in an equilateral triangle in space, with each side of the triangle being 2.5 million kilometers – more than six times the distance between the Earth and the Moon.

The three craft will send infrared laser beams to each other via twin telescopes in the satellites. The beams will be sent to free-floating golden cubes – each slightly smaller than a Rubik’s cube — that are placed inside the craft.

The system will be able to measure the separation between the cubes down to picometers, or trillionths of a meter. Such subtle changes in the distances between the measured laser beams will indicate the presence of a gravitational wave.

The prototype telescope, dubbed the Engineering Development Unit Telescope, was manufactured and assembled by L3Harris Technologies in Rochester, New York.

It is made entirely from an amber-coloured glass-ceramic called Zerodur, which has been manufactured by Schott in Mainz, Germany. The primary mirror of the telescopes is coated in gold to better reflect the infrared lasers and reduce heat loss.

On 25 January ESA’s Science Programme Committee formally approved the start of construction of LISA.

Orbital angular momentum monopoles appear in a chiral crystal

Magnets generally have two poles, north and south, so observing something that behaves like it has only one is extremely unusual. Physicists in Germany and Switzerland have become the latest to claim this rare accolade by making the first direct detection of structures known as orbital angular momentum monopoles. The monopoles, which the team identified in materials known as chiral crystals, had previously only been predicted in theory. The discovery could aid the development of more energy-efficient memory devices.

Traditional electronic devices use the charge of electrons to transfer energy and information. This transfer process is energy-intensive, however, so scientists are looking for alternatives. One possibility is spintronics, which uses the electron’s spin rather than its charge, but more recently another alternative has emerged that could be even more promising. Known as orbitronics, it exploits the orbital angular momentum (OAM) of electrons as they revolve around an atomic nucleus. By manipulating this OAM, it is in principle possible to generate large magnetizations with very small electric currents – a property that could be used to make energy-efficient memory devices.

Chiral topological semi-metals with “built-in” OAM textures

The problem is that materials that support such orbital magnetizations are hard to come by. However, Niels Schröter, a physicist at the Max Planck Institute of Microstructure Physics in Halle, Germany who co-led the new research, explains that theoretical work carried out in the 1980s suggested that certain crystalline materials with a chiral structure could generate an orbital magnetization that is isotropic, or uniform in all directions. “This means that the materials’ magnetoelectric response is also isotropic – it depends solely on the direction of the injected current and not on the crystals’ orientation,” Schröter says. “This property could be useful for device applications since it allows for a uniform performance regardless of how the crystal grains are oriented in a material.”

In 2019, three experimental groups (including the one involved in the latest work) independently discovered a type of material called a chiral topological semimetal that seemed to fit the bill. Atoms in these semimetals are arranged in a helical pattern, which produces something that behaves like a solenoid on the nanoscale, creating a magnetic field whenever an electric current passes through it.

The advantage of these materials, Schröter explains, is that they have “built-in” OAM textures. What is more, he says the specific texture discovered in the most recent work – an OAM monopole – is “special because the magnetic field response can be very large – and isotropic, too”.

Visualizing monopoles

Schröter and colleagues studied chiral topological semimetals made from either palladium and gallium or platinum and gallium (PdGa or PtGa). To understand the structure of these semimetals, they directed circularly polarized X-rays from the Swiss Light Source (SLS) onto samples of PdGa and PtGa prepared by Claudia Felser’s group at the Max Planck Institute in Dresden. In this technique, known as circular dichroism in angle-resolved photoemission spectroscopy (CD-ARPES), the synchrotron light ejects electrons from the sample, and the angles and energies of these electrons provide information about the material’s electronic structure.

“This technique essentially allows us to ‘visualize’ the orbital texture, almost like capturing an image of the OAM monopoles,” Schröter explains. “Instead of looking at the reflected light, however, we observe the emission pattern of electrons.” The new monopoles, he notes, reside in momentum (or reciprocal) space, which is the Fourier transform of our everyday three-dimensional space.

Complex data

One of the researchers’ main challenges was figuring out how to interpret the CD-ARPES data. This turned out to be anything but straightforward. Working closely with Michael Schüler’s theoretical modelling group at the Paul Scherrer Institute in Switzerland, they managed to identify the OAM textures hidden within the complexity of the measurement figures.

Contrary to what was previously thought, they found that the CD-ARPES signal was not directly proportional to the OAMs. Instead, it rotated around the monopoles as the energy of the photons in the synchrotron light source was varied. This observation, they say, proves that monopoles are indeed present.

The findings, which are detailed in Nature Physics, could have important implications for future magnetic memory devices. “Being able to switch small magnetic domains with currents passed through such chiral crystals opens the door to creating more energy-efficient data storage technologies, and possibly also logic devices,” Schröter says. “This study will likely inspire further research into how these materials can be used in practical applications, especially in the field of low-power computing.”

The researchers’ next task is to design and build prototype devices that exploit the unique properties of chiral topological semimetals. “Finding these monopoles has been a focus for us ever since I started my independent research group at the Max Planck Institute for Microstructure Physics in 2021,” Schröter tells Physics World. The team’s new goal, he adds, is to “demonstrate functionalities and create devices that can drive advancements in information technologies”.

To achieve this, he and his colleagues are collaborating with partners at the universities of Regensburg and Berlin. They aim to establish a new centre for chiral electronics that will, he says, “serve as a hub for exploring the transformative potential of chiral materials in developing next-generation technologies”.

On the proper use of a Warburg impedance

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Recent battery papers commonly employ interpretation models for which diffusion impedances are in series with interfacial impedance. The models are fundamentally flawed because the diffusion impedance should be part of the interfacial impedance. A general approach is presented that shows how the charge-transfer resistance and diffusion resistance are functions of the concentration of reacting species at the electrode surface. The resulting impedance model incorporates diffusion impedances as part of the interfacial impedance.

A Q&A session follows the presentation.

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Mark Orazem obtained his BS and MS degrees from Kansas State University and his PhD in 1983 from the University of California, Berkeley. In 1983, he began his career as assistant professor at the University of Virginia, and in 1988 joined the faculty of the University of Florida, where he is Distinguished Professor of Chemical Engineering and Associate Chair for Graduate Studies. Mark is a fellow of The Electrochemical Society, International Society of Electrochemistry, and American Association for the Advancement of Science. He served as President of the International Society of Electrochemistry and co-authored, with Bernard Tribollet of the Centre national de la recherche scientifique (CNRS), the textbook entitled Electrochemical Impedance Spectroscopy, now in its second edition. Mark received the ECS Henry B. Linford Award, ECS Corrosion Division H. H. Uhlig Award, and with co-author Bernard Tribollet, the 2019 Claude Gabrielli Award for contributions to electrochemical impedance spectroscopy. In addition to writing books, he has taught short courses on impedance spectroscopy for The Electrochemical Society since 2000.

 

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