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Fill-finish of parenteral formulations represents a crucial step in the pharmaceutical industry that necessitates careful monitoring of product stability down the line. Shear stress and interfacial stress are two elements that threaten product stability, the respective contributions of which are still up for debate. This article focuses on the analysis of shear stress in the sampling phase of the filling line. Specifically, Computational Fluid Dynamics (CFD) simulations were employed to determine the shear stress distribution experienced by a protein-based parenteral drug as it passes through sampling fittings of various shapes under laminar and turbulent regime conditions. Rather than seeking the specific mechanism triggering the destabilization of a product, an attempt was made to analyze the fluid dynamics within these fittings and offer further understanding of the resulting shear stress. In addition, information was collected on the product path within the fittings, which allowed the identification of equations suitable for describing the shear stress distribution. The proposed approaches made it possible to consider the actual flowrate subjected to a given shear stress at a given time. Finally, a comparison was drawn with respect to the fluid dynamics within classical straight tubing to outline differences. This study revealed that the shear stress experienced within the fittings was higher than that in the tubing. Moreover, significant differences were reported in the T-fitting case under turbulent conditions.

Metal-nitrogen-carbons (M-N-Cs) as a reliable substitution for platinum-group-metals (PGMs) for oxygen reduction reaction (ORR) are emerging candidates to rationalize the technology of fuel cells. The development of M-N-Cs can further be economized by consuming waste biomass as an inexpensive carbon source for the electrocatalyst support. Herein, we report the simple fabrication and in-depth characterization of electrocatalysts using lignin-derived activated char. The activated char (LAC) was functionalized with metal phthalocyanine (FePc and MnPc) via atmosphere-controlled pyrolysis to produce monometallic M-N-Cs (L_Mn and L_Fe) and bimetallic M1-M2-N-Cs (L_FeMn) electrocatalysts. Raman spectroscopy and transmission electron microscopy (TEM) revealed a defect-rich architecture. XPS confirmed the coexistence of various nitrogen-containing active moieties. L_Fe and L_FeMn demonstrated appreciable ORR in both acidic and alkaline conditions whereas L_FeMn helped in restricting the peroxide yield, particularly in alkaline media. L_Fe and L_FeMn demonstrated remarkable onset potential (Eonset) of ∼0.942 V (vs RHE) with an E1/2 of 0.874 V (vs RHE) in 0.1 M KOH. In acid, L_FeMn had an Eonset of 0.817 V (vs RHE) and an E1/2 of ∼0.76 V (vs RHE). Finally, the L_FeMn as a cathode electrocatalyst was integrated and tested in PEMFC and AEMFC. AEMFC demonstrated optimistic performance with a peak power density of 261 mW cm−2 at the current density of ∼577 mA cm−2.

Parenteral products appear to be sensitive to process conditions in bioprocessing steps, such as interfacial stress and shear stress. The combination of these elements is widely believed and proven to influence product stability, but the defined roles of these players in the product damage process have not yet been identified. The present work addresses a current industrial problem, by focusing on the analysis of shear stress on protein-based therapeutics flowing in tubing by means of Computational Fluid Dynamics simulations. The purpose of this article is not to pinpoint the mechanism triggering the damage of the product, but it represents the first step towards wider experimental investigations and introduces a new strategy to quantify the average shear stress. The field of scale-down approaches, used to scale the commercial process down to the laboratory level, is also explored. Since quality control is critical in the pharmaceutical realm, it is essential that the scale-down approach preserves the same stress exposure as the commercial scale, which in the present work is considered to be that resulting from shear effects. Therefore, a new approach for scaling down the commercial process is proposed, which has been compared with traditional approaches and shown to provide greater representativeness between the two scales.

The dinuclear Ru diazadiene olefin complex, [Ru2(OTf)(μ-H)(Me2dad)(dbcot)2], is an active catalyst for hydrogen evolution in a Polymer Exchange Membrane (PEM) water electrolyser. When supported on high surface area carbon black and at 80 °C, [Ru2(OTf)(μ-H)(Me2dad)(dbcot)2]@C evolves hydrogen at the cathode of a PEM electrolysis cell (400 mA cm−2, 1.9 V). A remarkable turn over frequency (TOF) of 7800 molH2 molcatalyst−1 h−1 is maintained over 7 days of operation. A series of model reactions in homogeneous media and in electrochemical half cells, combined with DFT calculations, are used to rationalize the hydrogen evolution mechanism promoted by [Ru2(OTf)(μ-H)(Me2dad)(dbcot)2]., Chemical Science, 13 (13), ISSN:2041-6520, ISSN:2041-6539

Silicon Carbide JFETs with low on-state resistance are suitable for a number of high power applications. The static, dynamic and short circuit characterization of 600 V SiC Trench JFETs are reported in this paper. Typical JFETs fabricated with a 1.2 μm cell pitch had an on-resistance value around 40 mΩ and blocking voltages of ~600 V across the wafer. JFETs were successfully switched with a dc link voltage of 300 V, a current of 15 A and operating temperature of 125 °C. These JFETs were subjected to a short circuit condition with duration ranging from 10 μs to 45 μs at a dc link voltage of ~300 V, and operating temperatures of 25 °C and 125 °C. The device could withstand subsequent short circuit successfully without any failure at both 25 °C and 125 °C. The short circuit current showed consistent dependency on the applied gate voltage, when it was varied from 0 V to 15 V.

This paper introduces novel TCAD post-processing techniques for SiC MOSFETs with the aim of understanding which parts of the device limit the on-state performance. Typically, analytical models of MOSFETs are used as a starting point for the TCAD design process or as a simple way to understand the influence of complex design choices, as discussed in the works of [1-3]. These lumped element models result in a relatively straightforward approach because they explicitly identify the contributions of the regions of the transistor, facilitating the understanding of basic design choices and performance trade-offs. However, the simplifications introduced in analytical models limit their applicability to advanced device structures such as aggressively scaled transistors or trench MOSFETs with cellular layout. This paper presents mathematical techniques based on post-processing of TCAD simulations that combine the accuracy of numerical Finite Element studies with the interpretability of lumped element analytical models.

The electrochemical reforming of ethanol to H2 is achieved at 150 °C in an autoclave electrochemical cell that allows the safe pressurization of the H2 produced as no O2 is evolved. The alkaline conditions are very aggressive to catalysts including noble metals like Pt and Pd. We report a highly active ethanol oxidation catalyst (PdCoNifoam) composed of Pd nanoparticles supported on nanostructured Co oxide structures grown on nickel foam. Treatment with phosphorous vapors at high temperature yields a thin coating of phosphate that confers enhanced stability to the electrode operating in an electrolysis cell at 150 °C. A combination of scanning electron microscopy (energy dispersive X-ray spectroscopy) and X-ray photoelectron spectroscopy reveal a 3D nano-flake surface with an external layer of phosphates that prevents Pd dissolution. The PdCoP@Nifoam catalyst was successfully used for ethanol electrochemical reforming at 150 °C with self-pressurization of the H2 produced by the electrochemical reaction.

Production of liquid fuels by electrochemical CO2 reduction (eCO2R) is an attractive option for energy storage in the form of renewable energy. This study focuses on efficient formate production using an eCO2R system and its application in generating power using a direct formate fuel cell (DFFC). A carbon black supported SnO2 catalyst was used for the eCO2R in a gas diffusion reactor using a 1.0 M KOH electrolyte. An average faradaic efficiency of 80% for formate production was achieved over a wide electrode potential range (-0.63 to -1.43 V vs. RHE). Since the overall current density varied linearly with the overpotential, the rate of formate production could be easily controlled by varying the applied potential. At a current density of 251 mA cm-2 (-1.43 V), a high formate production rate was achieved at 3 mg min-1 cmWE-2 resulting in 0.5 M formate being produced within 1 hour. This formate solution was directly used as the fuel for a DFFC, without pre-treatment. The fuel cell consisted of a Pd-CeO2/C anode and FeCo/C cathode and produced a peak power density of 92 mW cm-2. A closed loop of "electricity-formate-electricity" has been realized in this study, signifying the promising future of sustainable CO2 conversion to liquid fuels for CO2 fixation as well as for energy storage.

The principle of microscopic reversibility lies at the core of fluctuation theorems, which have extended our understanding of the second law of thermodynamics to the statistical level. In the quantum regime, however, this elementary principle should be amended as the system energy cannot be sharply determined at a given quantum phase space point. In this Letter, we propose and experimentally test a quantum generalization of the microscopic reversibility when a quantum system interacts with a heat bath through energy-preserving unitary dynamics. Quantum effects can be identified by noting that the backward process is less likely to happen in the existence of quantum coherence between the system's energy eigenstates. The experimental demonstration has been realized by mixing coherent and thermal states in a beam-splitter, followed by heterodyne detection in an optical setup. We verify that the quantum modification for the principle of microscopic reversibility is critical in the low-temperature limit, while the quantum-to-classical transition is observed as the temperature of the thermal field gets higher., Comment: 6+3 pages

Getting inspiration from the ‘waste to resource’ strategic theme of circular economy, herein, we present the upcycling of the critical raw material i.e. Co-containing waste cathode from spent lithium-ion batteries (LIBs) into platinum group metal-free (PGM-free) electrocatalysts for hydrogen evolution reaction (HER) and oxygen reduction reaction (ORR). Lithium cobalt oxide-based cathode was recovered from spent LIBs (Waste LCOd) and subsequently treated with choline chloride: citric acid 1:1 deep eutectic solvent (DES) to obtain the full degradation of the LCO-type structure and, post thermal treatments, cobalt oxide in a carbonaceous matrix (ChCl.Citric). HER and ORR activities of derived materials were investigated in alkaline media using the rotating disk electrode (RDE) and rotating ring disk electrode (RRDE), respectively. To elucidate the role of cobalt present in the derived electrocatalysts, inks were prepared by supporting the electrocatalysts with different proportions of Ketjenblack (10:90 and 50:50 ratios). Waste LCOd closely followed the electrochemical response of commercial LCO and demonstrated the least overpotential (277 mV at −10 mA cm−2) for HER with an electrode configuration of 50:50. Whereas, ChCl.Citric 50:50 outperformed the other counterparts for ORR and exhibited a remarkable onset potential of 0.85 V (vs RHE) with the least peroxide production.

We propose a remote phase sensing scheme inspired by the high sensitivity of the entanglement produced by coherent multimode photon addition on the phase set in the remote heralding apparatus. By exploring the case of delocalized photon addition over two modes containing identical coherent states, we derive the optimal observable to perform remote phase estimation from heralded quadrature measurements. The technique is experimentally tested with calibration measurements and then used for estimating a remote phase with a sensitivity that is found to scale with the intensity of the (local) coherent states, which never interacted with the sample., 8 pages, 6 figures. Includes a Supplemental Material section

We present a concise review of recent experimental results concerning the conditional implementation of coherent superpositions of single-photon additions onto distinct field modes. Such a basic operation is seen to give rise to a wealth of interesting and useful effects, from the generation of a tunable degree of entanglement to the birth of peculiar correlations in the photon numbers and the quadratures of multimode, multiphoton, states of light. The experimental investigation of these properties will have an impact both on fundamental studies concerning, for example, the quantumness and entanglement of macroscopic states, and for possible applications in the realm of quantum-enhanced technologies.

We investigated the influence of forming gas annealing (FGA) before and after oxide deposition on the SiO2/4H-SiC interface defect density (Dit). For MOS capacitors (MOSCAPs) that were processed using FGAs at temperatures above 1050°C, CV characterization revealed decreased flat band voltage shifts and stretch-out for different sweep directions and frequencies. Moreover, constant-capacitance deep level transient spectroscopy (CC-DLTS) was performed and showed Dit levels below 1012 cm-2eV-1 for post deposition FGA at 1200°C. Finally, lateral MOSFETs were fabricated to analyze the temperature-dependent threshold voltage (Vth) shift.

Accurate detection of semiconductor defects is crucial to ensure reliability of operation and to improve yield by understanding and eradicating yield detractors. Recent advances in computer vision driven by Deep Convolutional Neural Networks (DCNN) and transfer learning have enabled novel techniques for defect detection and classification [1–7]. However, training neural networks requires very large datasets, even with transfer learning. This paper addresses this shortcoming by introducing for the first time the active learning approach for semiconductor devices. The proposed neural network can accurately identify defective dies with modest efforts in terms of annotating the image set. Finally, the feature maps of the DCNN are used to generate an unsupervised taxonomy of the semiconductor die defects, supporting further investigations to address yield detractors

We derive phase-space-inequality conditions for the verification of nonclassicality and implement them experimentally. We certify quantum correlations even if the phase-space distributions are nonnegative and demonstrate noise and loss robustness.

The fast and accessible verification of nonclassical resources is an indispensable step towards a broad utilization of continuous-variable quantum technologies. Here, we use machine learning methods for the identification of nonclassicality of quantum states of light by processing experimental data obtained via homodyne detection. For this purpose, we train an artificial neural network to classify classical and nonclassical states from their quadrature-measurement distributions. We demonstrate that the network is able to correctly identify classical and nonclassical features from real experimental quadrature data for different states of light. Furthermore, we show that nonclassicality of some states that were not used in the training phase is also recognized. Circumventing the requirement of the large sample sizes needed to perform homodyne tomography, our approach presents a promising alternative for the identification of nonclassicality for small sample sizes, indicating applicability for fast sorting or direct monitoring of experimental data., Comment: 8 pages, 7 figures

We demonstrate a remote phase estimation technique based on delocalized single-photon addition onto distinct field modes and characterized by a sensitivity scaling with the intensity of light that never interacted with a distant sample.

Since its first reported exfoliation in 2014, the interest in 2D black phosphorus (2D BP) and its chemical functionalization has grown dramatically [1], though a satisfactory structural description of the modified materials is seldom achieved. Herein, the functionalization of 2D BP starting from molecular Pd precursors is presented, leading either to supported Pd NPs (Pd/BP) or to interlayer Pd-Pd discrete units (Pd2/BP). An in-depth solid-state characterization of the new materials was carried out by means of XPS, HAADF-STEM, XRD, NMR MAS and XAS. Remarkably, XAS analysis, backed up by DFT modelling, was crucial in revealing the existence of Pd2 moieties stacked amidst BP layers in Pd2/BP. The potential application of these heterogeneous systems as catalysts was demonstrated in distinct processes, namely the selective hydrogenation of chloronitrobenzene to chloroaniline and the hydrogen evolution reaction (HER) from acidic medium.

The development of low-cost and sustainable hydrogen production is of primary importance for a future transition to sustainable energy. In this work, the selective and simultaneous production of pure hydrogen and chemicals from renewable alcohols is achieved using an anion exchange membrane electrolysis cell (electrochemical reforming) employing a nanostructured Pd-CeO2/C anode. The catalyst exhibits high activity for alcohol electrooxidation (e.g. 474 mA cm−2 with EtOH at 60 °C) and the electrolysis cell produces high volumes of hydrogen (1.73 l min−1 m−2) at low electrical energy input (Ecost = 6 kWh kgHjavax.xml.bind.JAXBElement@16146147−1 with formate as substrate). A complete analysis of the alcohol oxidation products from several alcohols (methanol, ethanol, 1,2-propandiol, ethylene glycol, glycerol and 1,4-butanediol) shows high selectivity in the formation of valuable chemicals such as acetate from ethanol (100%) and lactate from 1,2-propandiol (84%). Importantly for industrial application, in batch experiments the Pd-CeO2/C catalyst achieves conversion efficiencies above 80% for both formate and methanol, and 95% for ethanol.

Hydrogen has the largest energy density of all fuels and is considered the more suitable energy source (properly H2 is an energy vector) for matching a clean and carbon neutral future energetic scenario. This rather old technology was theorized almost 50 years ago but still doesn't have a widespread application due to severe limitations. The high cost and the poor sustainability for large scale application of electrochemical devices for hydrogen production and conversion to electricity are the main limitations. In fact, proton exchange membrane electrolyzers (PEMs) and fuel cells (PEMFCs) employ catalysts based on high amounts of rare noble metals, such as Pt, Ir, Ru and Pd. In addition, proton exchange membranes, such as the DuPont Nafion®, are very expensive materials. The reduction of precious metal loadings to negligible amounts keeping constant catalyst activity is a possible route for making fuel cells and electrolyzers sustainable devices. Traditional electrocatalysts are based on metal nanoparticles dispersed on conductive supports where only the particles surface atoms are involved in electrocatalysis. Replacing nanoparticles with metal complexes is a way for making accessible each metal center of the catalyst. A molecular catalyst offers other advantages with respect to nanosized materials, such as control of the selectivity of the oxidation reaction occurring in direct fuel cells fed with liquid and renewable fuels such as alcohols and formic acid. So direct fuel cells can convert a biomass-derived fuel not only into electricity but also into high purity chemicals. A second route to make fuel cells and electrolyzers sustainable devices is the replacement of proton exchange membranes with anion exchange membranes (AEMs) because in alkaline environment several nanostructured catalysts based on cheap metals can be used (in acidic environment most of the transition metals would be subject to corrosion phenomena). Thanks to the development over the last few years of high efficiency and stable alkaline membranes, we have developed anodic and cathodic nanostructured catalysts based on cheap metals like iron and nickel which are assembled together in alkaline fuel cells and eletrolyzers able to reach an activity close to the state of the art PEM based devices. As example an iron phthalocyanine cathode based H2/O2 fed fuel cell set up in our laboratory delivered a remarkable power density of 1 W cm-2.

We derive phase-space-inequality conditions for the verification of nonclassicality and implement them experimentally. We certify quantum correlations even if the phase-space distributions are nonnegative and demonstrate noise and loss robustness.

A novel route for the valorization of waste into valuable products was developed. Surgical masks commonly used for COVID 19 protection by stopping aerosol and droplets have been widely used, and their disposal is critical and often not properly pursued. This work intended to transform surgical masks into platinum group metal-free electrocatalysts for oxygen reduction reaction (ORR) and hydrogen evolution reaction (HER) as well as into crude oil. Surgical masks were subjected to controlled-temperature and -atmosphere pyrolysis, and the produced char was then converted into electrocatalysts by functionalizing it with metal phthalocyanine of interest. The electrocatalytic performance characterization towards ORR and HER was carried out highlighting promising activity. At different temperatures, condensable oil fractions were acquired and thoroughly analyzed. Transformation of waste surgical masks into electrocatalysts and crude oil can open new routes for the conversion of waste into valuable products within the core of the circular economy.

The chemical functionalization of 2D exfoliated black phosphorus (2D BP) continues to attract great interest, although a satisfactory structural characterization of the functionalized material has seldom been achieved. Herein, we provide the first complete structural characterization of 2D BP functionalized with rare discrete Pd2 units, obtained through a mild decomposition of the organometallic dimeric precursor [Pd(?3-C3H5)Cl]2. A multitechnique approach, including HAADF-STEM, solid-state NMR, XPS, and XAS, was used to study in detail the morphology of the palladated nanosheets (Pd2/BP) and to unravel the coordination of Pd2 units to phosphorus atoms of 2D BP. In particular, XAS, backed up by DFT modeling, revealed the existence of unprecedented interlayer Pd-Pd units, sandwiched between stacked BP layers. The preliminary application of Pd2/BP as a catalyst for the hydrogen evolution reaction (HER) in acidic medium highlighted an activity increase due to the presence of Pd2 units.

The hydrogen economy is becoming more feasible in recent years due to technological progresses in materials development. Such improvements have allowed a reduction in manufactory cost from year to year, making hydrogen competitive with the solutions currently available on the market. To this regard, the best way to produce H2 is by water electrolysis, that is one of the most abundant and renewable sources of hydrogen present in nature. Unfortunately, some problems remain due to the use of critical raw materials employed for the fabrication of the catalysts, like Platinum Group Metal (PGM) and the membrane stability and permeability. In order to make these technologies available to a large market, many efforts have been made to limit or eliminate precious metals from the catalysts. Here we report PGM free catalysts for anion exchange membrane electrolyzer based on Nickel-Molybdenum alloys and iron oxide-hydroxide: MoNi4:MoOx-3/Nifoam for the cathode and Fe-MoNi4:MoOx-3/Nifoam for the anode. These materials have some interesting advantages; firstly a facile hydrothermal synthesis, this procedure requires only the metal salts and water, representing also a "green" alternative with respect other pathways, once the mixed oxide are grown on the Nifoam surface , thermal annealing under reducing atmosphere leads to the formation of MoNi4:MoOx-3/Nifoam. An iron oxide-hydroxide anode can be prepared by simply dipping the lamina of MoNi4:MoOx-3/Nifoam in a solution of FeCl3. Tests carried out in a complete AEM electrolyzer demonstrate improved performances, showing very good stability with a current loading of 500 mA/cm2 for 1 day at 60°C, keeping the potential around 1.8 V. Further improvements are aimed to bring the current density to 1 A/cm2 maintaining the same cell potential.

Despite the recent progress in SiC power MOSFET technology and its commercialization, the defective MOS interface still hampers the exploitation of the full potential of these devices. We present results using our high-k gate stack technology that shows significantly reduced density of interface states (D it ) along with superior threshold voltage (V TH ) stability for low voltage SiC power MOSFETs. The findings indicate virtually no V TH -shift during static characterization as function of the starting gate voltage and its ramp. Furthermore, dynamic switching results show virtually no threshold voltage shift for $V_{GS,start} \gt -12$V.

Due to the sluggish kinetics of the hydrogen oxidation reaction (HOR) in alkaline electrolytes, the development of more efficient HOR catalysts is essential for the next generation of anion-exchange membrane fuel cells (AEMFCs). In this work, CeOx is selectively deposited onto carbon-supported Pd nanoparticles by controlled surface reactions, aiming to enhance the homogenous distribution of CeOx and its preferential attachment to Pd nanoparticles, to achieve highly active CeOx-Pd/C catalysts. The catalysts are characterized by inductively coupled plasma-atomic emission spectroscopy, X-ray diffraction, high-resolution transmission electron microscopy, scanning transmission electron microscopy (STEM), electron energy loss spectroscopy, and X-ray photoelectron spectroscopy to confirm the bulk composition, phases present, morphology, elemental mapping, local oxidation, and surface chemical states, respectively. The intimate contact between Pd and CeOx is shown through high-resolution STEM maps. The oxophilic nature of CeOx and its effect on Pd are probed by CO stripping. The interfacial contact area between CeOx and Pd nanoparticles is calculated for the first time and correlated to the electrochemical performance of the CeOx-Pd/C catalysts. Highest recorded HOR specific exchange current (51.5 mA mg-1Pd) and H2-O2 AEMFC performance (peak power density of 1,169 mW cm-2 mgPd-1) are obtained with a CeOx-Pd/C catalyst with Ce0.38/Pd bulk atomic ratio.

In medical radiation dosimetry , the use of small photon fields is almost a prerequisite for high precision localized dose delivery to delineated target volumes. The accurate measurement of standard dosimetric quantities in such situations depends on the size of the detector with respect to the field dimensions. Polycrystalline diamond devices with 3-dimensional structures are produced by using laser pulses to create graphitic paths in the diamond bulk. By fabricating very narrow and close-by columnar electrodes perpendicular to the detector surface, it is possible to create arrays of 3-D cells (pixels) with a very small sensitive volume. In order to present a solution to the problem of the detector size for small field dosimetry the 3-D technology aims to a new highly segmented larger polycrystalline diamond dosimeter to obtain field profiles in a single measurement, reducing the uncertainty of the delivered dose. To this purpose a 3D all carbon detector with an array of 9 3-D pixels has been produced. Due to the heterogeneous structure of the polycrystalline diamond substrate, it was necessary to study the response of each pixel under a standard field photon beam (10 x 10 cm 2 ). For 6 pixels of the array was demonstrated that they present different sensitivities to the radiation beam , but the response is linear and stable hence different calibration factors can be applied to obtain an overall detector response and reduce the uncertainty of the delivered dose.

In spite of its fundamental importance in quantum science and technology, the experimental certification of nonclassicality is still a challenging task, especially in realistic scenarios where losses and noise imbue the system. Here, we present the first experimental implementation of the recently introduced phase-space inequalities for nonclassicality certification, which conceptually unite phase-space representations with correlation conditions. We demonstrate the practicality and sensitivity of this approach by studying nonclassicality of a family of noisy and lossy quantum states of light. To this end, we experimentally generate single-photon-added thermal states with various thermal mean photon numbers and detect them at different loss levels. Based on the reconstructed Wigner and Husimi $Q$ functions, the inequality conditions detect nonclassicality despite the fact that the involved distributions are nonnegative, which includes cases of high losses (93%) and cases where other established methods do not reveal nonclassicality. We show the advantages of the implemented approach and discuss possible extensions that assure a wide applicability for quantum science and technologies.

Au nanoparticles, generated by the metal vapor synthesis technique, were supported onto cerium oxycarbonate monohydrate (Ce2O(CO3)2·H2O) giving Au@Ce2O(CO3)2·H2O. The obtained heterogeneous catalyst was used in the aerobic allyl alcohol oxidation reaction performed in toluene, showing a notably higher catalytic substrate conversion and isomerization activity compared to Au onto ceria, which is the reference catalyst for this type of catalysis. Results originating from catalytic recycling experiments and PXRD, HRTEM and XPS measurements carried out on recovered Au@Ce2O(CO3)2·H2O, confirmed the stability of the catalyst under aerobic oxidation reaction conditions and hence its recyclability, without the need of a regeneration step.