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	<title>operando characterization &#8211; Science</title>
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	<title>operando characterization &#8211; Science</title>
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		<title>Watching Catalysts Fall Apart in Real Time: Raman Spectroscopy Targets Green Hydrogen&#8217;s Durability Problem</title>
		<link>https://scienmag.com/watching-catalysts-fall-apart-in-real-time-raman-spectroscopy-targets-green-hydrogens-durability-problem/</link>
		
		<dc:creator><![CDATA[Bethany Barker]]></dc:creator>
		<pubDate>Thu, 01 Oct 2026 10:50:39 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[advanced techniques for catalyst lifespan assessment]]></category>
		<category><![CDATA[AEM electrolyzer]]></category>
		<category><![CDATA[alkaline electrolyzer]]></category>
		<category><![CDATA[catalyst degradation]]></category>
		<category><![CDATA[catalyst degradation at high current densities]]></category>
		<category><![CDATA[challenges in scaling electrolyzer technology]]></category>
		<category><![CDATA[durability of PEM and AEM electrolyzers]]></category>
		<category><![CDATA[effects of mechanical stress and gas evolution on catalysts]]></category>
		<category><![CDATA[Electrocatalysis]]></category>
		<category><![CDATA[electrochemical characterization of water-splitting catalysts]]></category>
		<category><![CDATA[green hydrogen]]></category>
		<category><![CDATA[Green hydrogen durability challenges in industrial electrolyzers]]></category>
		<category><![CDATA[hydrogen evolution reaction]]></category>
		<category><![CDATA[impact of current density on catalyst stability]]></category>
		<category><![CDATA[improving catalyst stability for green hydrogen production]]></category>
		<category><![CDATA[innovative methods to study catalyst degradation processes]]></category>
		<category><![CDATA[operando characterization]]></category>
		<category><![CDATA[oxygen evolution reaction]]></category>
		<category><![CDATA[PEM electrolyzer]]></category>
		<category><![CDATA[Raman spectroscopy]]></category>
		<category><![CDATA[Raman spectroscopy for catalyst analysis]]></category>
		<category><![CDATA[real-time monitoring of catalyst performance]]></category>
		<category><![CDATA[surface reconstruction]]></category>
		<category><![CDATA[water electrolysis]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=222158</guid>

					<description><![CDATA[A new review argues that operando Raman spectroscopy, which watches catalysts transform in real time inside working electrolyzers, is the key diagnostic for solving the durability crisis holding back industrial green hydrogen production.]]></description>
										<content:encoded><![CDATA[<p>Green hydrogen has long been pitched as the clean fuel that could decarbonize steelmaking, ammonia production and heavy transport, but a stubborn technical problem keeps getting in the way: the catalysts inside industrial electrolyzers do not survive long enough to make the economics work. A new review published in Discover Electrochem by Nisha Rajani, Sanjay A. Bhakhar, Pratik M. Pataniya and C. K. Sumesh of Charotar University of Science and Technology in Gujarat, India, argues that the field&#8217;s biggest blind spot is not a lack of good catalysts but a lack of good eyes. Most catalysts are characterized before and after they run, when what really matters is what happens in between, at the brutal current densities that commercial devices demand.</p>
<p>The numbers tell the story. Laboratory studies of water-splitting catalysts are typically conducted below 10 milliamperes per square centimeter, a gentle regime where materials behave politely. Commercial alkaline electrolyzers are benchmarked above 0.2 amperes per square centimeter, while proton exchange membrane (PEM) and anion exchange membrane (AEM) systems are expected to deliver roughly 1.6 and 1 ampere per square centimeter respectively. At those loads, steep potential gradients, vigorous gas bubbling, local pH swings and mechanical stress conspire to tear catalysts apart. Redox conversions, surface reconstructions, phase transformations, dopant leaching and outright decomposition can occur at or even before the onset of catalysis, sometimes creating entirely new phases that turn out to be the true active sites.</p>
<p>Conventional ex-situ tools such as X-ray diffraction, X-ray photoelectron spectroscopy, electron microscopy and infrared spectroscopy can catalog what a catalyst looked like before the storm and what remains afterward, but they cannot witness the transformation itself. Worse, samples removed from an operating cell and exposed to air can develop artifacts that mislead interpretation entirely. The review&#8217;s central thesis is that operando Raman spectroscopy, which collects vibrational spectra from a fully functioning device while simultaneously recording its electrochemical performance, offers the molecular-level window the field has been missing. The distinction between in-situ and operando matters here: in-situ means real-time measurement under catalytically relevant conditions, while operando means the measurement happens inside a genuinely working cell, directly tying a catalyst&#8217;s chemical state to its output.</p>
<p>Raman spectroscopy has a particular advantage in water electrolysis that infrared techniques lack: water, the electrolyte itself, has a very low Raman cross-section, so aqueous environments do not swamp the signal. The technique works by shining monochromatic laser light onto the sample; most photons scatter elastically at the same wavelength (Rayleigh scattering), but a small fraction exchange energy with molecular vibrations and emerge shifted in wavelength. These Stokes and anti-Stokes shifts act as fingerprints of bond stretching, bending and lattice vibrations, revealing oxidation states, surface-bound intermediates and structural reorganizations without destroying the sample. Advanced variants amplify this capability dramatically: surface-enhanced Raman spectroscopy (SERS), shell-isolated nanoparticle-enhanced Raman spectroscopy (SHINERS) and tip-enhanced Raman spectroscopy (TERS) can boost sensitivity enough to catch trace intermediates and nanoscale heterogeneity that conventional Raman would miss.</p>
<p>The review highlights striking case studies of catalyst self-reconstruction captured live. In one, researchers tracking a nickel-iron oxide catalyst watched the Raman signature of iron oxide fade with increasing potential while defect-related nickel oxide vibrations grew, until at 600 to 700 millivolts only two peaks remained, corresponding to the bending and stretching modes of nickel oxyhydroxide (NiOOH). The mixed-phase starting material had rebuilt itself into NiOOH, the phase actually doing the oxygen-evolving work. In another study on a molybdenum-doped nickel sulphide coupled with vanadium dioxide, the NiOOH signature appeared at 1.30 volts, earlier than in the undoped material, and a sulphate band emerged at lower potential, showing that the vanadium additive accelerated reconstruction while improving stability.</p>
<p>Composition, it turns out, plays an unexpectedly subtle role in these transformations. In FeOOH-decorated nickel molybdate nanowires, the NiOOH phase emerged slightly later than in the pristine material, reflecting iron&#8217;s inhibition of trivalent nickel formation, yet the reconstructed phase was ultimately more stable and active. Meanwhile, a rigorously controlled study of nickel-iron oxyhydroxides under iron-free conditions found that the intrinsic activity of pure beta-NiOOH is significantly lower than earlier reports suggested, and that the celebrated activity boost attributed to iron incorporation stems from electronic interactions between nickel and iron sites rather than conductivity gains alone. These contradictions, the review notes, would remain invisible without operando measurements, and they underscore how promoter elements govern catalytic behavior in ways that static characterization cannot untangle.</p>
<p>On the hydrogen evolution side, Raman has resolved equally fine details. Work on ruthenium surfaces in alkaline media distinguished hydrogen species adsorbed on metallic ruthenium from those bound to ruthenium oxide: after electrochemical reduction, the oxide band vanished and only the Ru(0)-H feature at 1825 wavenumbers remained, proving that a neighboring peak belonged to hydrogen on oxidized sites. On atomically flat palladium single crystals, operando Raman combined with computation showed that hydrogen-bonded and sodium-hydrated interfacial water reorganizes from a random to an ordered structure under bias, enhancing electron transfer and boosting activity. High-speed compressive Raman imaging of layered iridate and cobaltate oxygen-evolution electrodes revealed that at high current density, oxygen evolution outpaces cation exchange, confining charge compensation to the surface, whereas at lower overpotentials cations intercalate into the bulk lattice.</p>
<p>The technique also reads the electrolyte itself, the third leg of the catalyst-interface-electrolyte triad. In methanol oxidation on niobia, only one polymorph developed a distinctive Raman peak associated with short niobium-oxygen bonds in edge-sharing octahedra, and that in-situ-generated feature correlated precisely with the highest activity and formate selectivity, identifying the true active site. Similar studies have tracked formate formation during glycerol oxidation and mapped intermediates in 5-hydroxymethylfurfural oxidation to the plastic-recycling feedstock 2,5-furandicarboxylic acid. Because the three-dimensional porous substrates used in industrial electrodes, metal foams, meshes and carbon fabrics, do not obscure Raman signals and even allow deeper laser penetration, the method can capture gradients across electrode thickness under realistic loads.</p>
<p>Honest limitations remain. Raman scattering is inherently weak, fluorescence from dyes and pigments can bury signals, laser heating can damage sensitive materials, and gas bubbles disrupt optical paths at high current densities. The review points to engineering answers: carefully chosen laser wavelengths and power densities, longer relaxation times between scans, specialized temperature-monitoring probes, and cell architectures ranging from windowless thin-layer designs to flow cells with gas-diffusion electrodes that sweep bubbles away, and fiber-optic probes inserted directly into membrane electrode assemblies. Looking forward, the authors envision embedded Raman probes in commercial electrolyzer stacks feeding real-time data into digital durability dashboards, machine-learning spectral deconvolution for predictive maintenance, and multimodal platforms pairing Raman with X-ray absorption or mass spectrometry. Standardized protocols and reference spectral libraries for benchmark catalysts such as iridium dioxide, ruthenium dioxide and nickel-iron layered double hydroxides would be essential for industrial adoption.</p>
<p>The stakes are considerable. For hydrogen to compete with fossil-derived alternatives, electrolyzers must run reliably at industrial current densities for lifetimes exceeding 60,000 to 80,000 hours, whether the failure mode is ruthenium dissolution in PEM systems, nickel and iron leaching in alkaline devices or ionomer decomposition in AEM units. By catching degradation markers as they form rather than reconstructing them afterward, operando Raman spectroscopy promises to shift catalyst development from trial-and-error toward rational, data-driven engineering. If the vision of Raman-equipped smart electrolyzers materializes, the technique that lets chemists watch molecules vibrate could become the quality-control backbone of a global hydrogen economy.</p>
<p><strong>Subject of Research:</strong> Operando Raman spectroscopy for monitoring catalyst degradation and structural dynamics in industrial green hydrogen water electrolyzers</p>
<p><strong>Article Title:</strong> Operando Raman spectroscopy for exploring catalyst structural and interfacial dynamics in industrial green hydrogen electrolyzers</p>
<p><strong>Article References:</strong> Rajani, N., Bhakhar, S. A., Pataniya, P. M., &amp; Sumesh, C. K. (2026). Operando Raman spectroscopy for exploring catalyst structural and interfacial dynamics in industrial green hydrogen electrolyzers. <em>Discover Electrochemistry, 3</em>(1), Article 55. <a href="https://doi.org/10.1007/s44373-026-00142-1" rel="noopener noreferrer">https://doi.org/10.1007/s44373-026-00142-1</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44373-026-00142-1" rel="noopener noreferrer">10.1007/s44373-026-00142-1</a></p>
<p><strong>Keywords:</strong> green hydrogen, water electrolysis, Raman spectroscopy, operando characterization, electrocatalysis, catalyst degradation, PEM electrolyzer, alkaline electrolyzer, AEM electrolyzer, oxygen evolution reaction, hydrogen evolution reaction, surface reconstruction</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">222158</post-id>	</item>
		<item>
		<title>Laser Technique Maps Swelling Inside Organic Transistor Channels with Submicrometre Precision</title>
		<link>https://scienmag.com/laser-technique-maps-swelling-inside-organic-transistor-channels-with-submicrometre-precision/</link>
		
		<dc:creator><![CDATA[Denise Maddox]]></dc:creator>
		<pubDate>Sun, 20 Sep 2026 21:33:51 +0000</pubDate>
				<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[artificial neurons]]></category>
		<category><![CDATA[bioelectronics]]></category>
		<category><![CDATA[channel swelling]]></category>
		<category><![CDATA[device operation in bioelectronics]]></category>
		<category><![CDATA[device stability]]></category>
		<category><![CDATA[ion-induced swelling]]></category>
		<category><![CDATA[ionic and electronic charge redistribution]]></category>
		<category><![CDATA[laser Doppler vibrometry]]></category>
		<category><![CDATA[nanoscale imaging of swelling effects]]></category>
		<category><![CDATA[Nature Electronics]]></category>
		<category><![CDATA[neuromorphic circuits]]></category>
		<category><![CDATA[OECTs]]></category>
		<category><![CDATA[operando characterization]]></category>
		<category><![CDATA[organic electrochemical transistors]]></category>
		<category><![CDATA[organic mixed ionic-electronic conductors]]></category>
		<category><![CDATA[polymer channel expansion]]></category>
		<category><![CDATA[polymer semiconductors]]></category>
		<category><![CDATA[real-time channel deformation mapping]]></category>
		<category><![CDATA[submicrometre resolution]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=202992</guid>

					<description><![CDATA[A customized laser Doppler vibrometry platform maps swelling in organic electrochemical transistor channels with submicrometre resolution, revealing structural defects and guiding the design of stable bioelectronics and artificial neurons.]]></description>
										<content:encoded><![CDATA[<p>Organic electrochemical transistors, or OECTs, have quietly become one of the most promising building blocks for the next generation of bioelectronics. These devices translate ionic signals, the native language of living cells, into electronic currents that conventional circuits can read and amplify. Yet the very property that makes them so effective at this translation, their ability to swell as ions penetrate the polymer channel, has also been one of the hardest to observe directly. A new study published in Nature Electronics now demonstrates a way to watch this swelling happen in real time and in space, using a customized laser Doppler vibrometry platform that maps channel deformation with submicrometre resolution.</p>
<p>The significance of the advance lies in what swelling actually means for device operation. Organic mixed ionic–electronic conductors, the materials from which OECT channels are made, are designed to admit ions from an electrolyte when a voltage is applied. As ions enter, they redistribute electronic charge and simultaneously cause the polymer film to expand. This electrochemical swelling is not a side effect to be tolerated; it is inseparable from the doping and dedoping processes that govern transistor behavior. But uncontrolled or nonuniform swelling can crack films, delaminate channels from their substrates, shift switching thresholds over time, and degrade the fidelity of the electrical signals the devices are meant to deliver.</p>
<p>Until now, characterizing this swelling has required indirect or ex situ approaches. Quartz crystal microbalance measurements can track mass uptake during electrochemical doping, atomic force microscopy can capture surface topography before and after operation, and electrochemical strain microscopy can probe local strain responses. More recently, four-dimensional scanning transmission electron microscopy has been used to follow structural evolution in these materials as they interact with water. Each of these techniques has contributed valuable insight, but none offers a convenient way to monitor how swelling develops across an operating transistor channel while the device is actually working, at a spatial resolution fine enough to reveal defects and heterogeneities.</p>
<p>The new platform addresses this gap by adapting laser Doppler vibrometry, an optical technique that measures the velocity of a vibrating surface through the Doppler shift of reflected laser light, to the specific demands of OECT characterization. By scanning a focused laser spot across the channel of a transistor during operation, the researchers can detect the minute surface displacements caused by electrochemical swelling and build up a spatial map of where and how strongly the polymer expands. Because the measurement is optical and non-contact, it does not disturb the electrochemical processes under study, and because it is fast, it can follow swelling as the device is biased through its operating cycle.</p>
<p>With submicrometre spatial resolution, the resulting maps expose a level of detail that bulk measurements inevitably average away. The study reveals that swelling across a transistor channel is far from uniform. Structural defects in the channel, invisible to conventional electrical characterization, show up clearly as anomalies in the swelling profile. Regions where the polymer film is imperfectly formed, contaminated, or poorly adhered to the substrate swell differently from their surroundings, and these local differences can propagate into device-level consequences such as degraded transconductance, hysteresis, or accelerated failure.</p>
<p>This ability to locate and identify channel defects while a device is operating turns the vibrometry platform into a powerful diagnostic tool. Device engineers have long suspected that processing imperfections, whether introduced during film deposition, patterning, or encapsulation, limit the stability and reproducibility of OECTs. The new measurements provide direct, spatially resolved evidence connecting such imperfections to nonuniform swelling, closing a feedback loop that has been largely missing from the field. With this information, materials scientists and device designers can rationally refine fabrication protocols, channel formulations, and device architectures to suppress the defect-driven swelling that undermines long-term performance.</p>
<p>The implications extend well beyond basic characterization. OECTs are central to emerging applications in which devices must operate reliably in demanding environments, including implantable biosensors that record neural activity, wearable health monitors that sample sweat or interstitial fluid, and closed-loop systems that both sense and stimulate living tissue. In these settings, a transistor that swells unevenly or drifts out of specification can compromise an entire system. Stable, high-fidelity OECTs are therefore a prerequisite for translating laboratory demonstrations into clinically and commercially viable technology, and operando swelling maps offer a concrete engineering target for achieving them.</p>
<p>One of the most ambitious applications highlighted in connection with this work is the development of artificial neurons. Recent research on mixed ion–electron conducting polymers has shown that OECT-based neuromorphic circuits can reproduce biorealistic firing behavior, including ion-tunable antiambipolar responses that mimic the dynamics of biological neurons. Such circuits have been demonstrated interfacing directly with neural tissue, raising the prospect of soft, biocompatible hardware that speaks the electrolyte-based language of the nervous system. For artificial neurons to function reliably over long periods inside or alongside living organisms, their polymer channels must maintain consistent electrochemical and mechanical behavior, which makes the ability to map and control swelling directly relevant to their design.</p>
<p>The broader context is a field that has matured rapidly since organic mixed ionic–electronic conductors were recognized as a distinct and pervasive class of materials. Reviews of the field have emphasized that swelling phenomena are essentially universal in these materials, arising whenever ions enter a polymer that also conducts electrons. What has been lacking is not awareness of swelling but the instrumentation to observe it under realistic operating conditions with sufficient spatial detail. The laser Doppler vibrometry approach demonstrated here fills that instrumental gap, complementing existing techniques such as microbalance, scanning probe, and electron microscopy methods, and establishing operando swelling mapping as a standard characterization capability for the OMIEC community.</p>
<p>Looking forward, the researchers suggest that spatially resolved swelling measurements will guide the development of robust OECTs and high-fidelity artificial neurons by revealing, at an early stage of device development, which materials and processing routes produce channels that swell uniformly and reversibly. As bioelectronic devices shrink, integrate more densely, and spend longer periods in contact with living tissue, the margin for electrochemically induced mechanical failure narrows accordingly. Techniques that make the invisible mechanics of ion insertion visible, defect by defect and device by device, are likely to become as routine in organic electronics as current–voltage measurements are today, and this demonstration marks a substantial step in that direction.</p>
<p><strong>Subject of Research:</strong> In situ spatial mapping of swelling in organic electrochemical transistor channels using laser Doppler vibrometry</p>
<p><strong>Article Title:</strong> In situ mapping of mixed ionic–electronic channel swelling</p>
<p><strong>Article References:</strong> In situ mapping of mixed ionic–electronic channel swelling. (2026). <em>Nature Electronics</em>. <a href="https://doi.org/10.1038/s41928-026-01707-z" rel="noopener noreferrer">https://doi.org/10.1038/s41928-026-01707-z</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41928-026-01707-z" rel="noopener noreferrer">10.1038/s41928-026-01707-z</a></p>
<p><strong>Keywords:</strong> organic electrochemical transistors, OECTs, organic mixed ionic-electronic conductors, laser Doppler vibrometry, channel swelling, bioelectronics, artificial neurons, polymer semiconductors, operando characterization, device stability, neuromorphic circuits, Nature Electronics</p>
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