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17 pages, 13090 KiB  
Article
Dynamic Imaging of Projected Electric Potentials of Operando Semiconductor Devices by Time-Resolved Electron Holography
by Tolga Wagner, Hüseyin Çelik, Simon Gaebel, Dirk Berger, Peng-Han Lu, Ines Häusler, Nina Owschimikow, Michael Lehmann, Rafal E. Dunin-Borkowski, Christoph T. Koch and Fariba Hatami
Electronics 2025, 14(1), 199; https://doi.org/10.3390/electronics14010199 (registering DOI) - 5 Jan 2025
Abstract
Interference gating (iGate) has emerged as a groundbreaking technique for ultrafast time-resolved electron holography in transmission electron microscopy, delivering nanometer spatial and nanosecond temporal resolution with minimal technological overhead. This study employs iGate to dynamically observe the local projected electric potential within the [...] Read more.
Interference gating (iGate) has emerged as a groundbreaking technique for ultrafast time-resolved electron holography in transmission electron microscopy, delivering nanometer spatial and nanosecond temporal resolution with minimal technological overhead. This study employs iGate to dynamically observe the local projected electric potential within the space-charge region of a contacted transmission electron microscopy (TEM) lamella manufactured from a silicon diode during switching between unbiased and reverse-biased conditions, achieving a temporal resolution of 25 ns at a repetition rate of 3 MHz. By synchronizing the holographic acquisition with the applied voltage, this approach enables the direct visualization of time-dependent potential distributions with high precision. Complementary static and dynamic experiments reveal a remarkable correspondence between modeled and measured projected potentials, validating the method’s robustness. The observed dynamic phase progressions resolve and allow one to differentiate between localized switching dynamics and preparation-induced effects, such as charge recombination near the sample edges. These results establish iGate as a transformative tool for operando investigations of semiconductor devices, paving the way for advancing the nanoscale imaging of high-speed electronic processes. Full article
(This article belongs to the Section Optoelectronics)
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Figure 1

Figure 1
<p>Schematic of the time-resolved electron holography setup with interference gating in a transmission electron microscope (TEM). (<b>a</b>) The TEM configuration uses an RF biasing holder to apply a periodic voltage to the sample, creating an electron hologram by overlapping object (Obj) and reference (Ref) waves with a biprism. (<b>b</b>) Holographic reconstruction process: Fourier transformation (FT), isolating sideband (SB) from centerband (CB), extracting amplitude and phase information. (<b>c</b>) Interference Gating: dynamic fringe contrast <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>h</mi> <mi>o</mi> <mi>l</mi> </mrow> </msub> </semantics></math> with gate length <math display="inline"><semantics> <mi>τ</mi> </semantics></math> (top panel), FT within and outside the gate (second panel), noise-based gating signal applied to dynamic phase shifter (third panel), control signal applied to RF biasing holder (bottom panel), synchronized to each other with an adjustable temporal delay <math display="inline"><semantics> <mrow> <mo>Δ</mo> <mi>t</mi> </mrow> </semantics></math> for setting the gate position <math display="inline"><semantics> <msub> <mi>t</mi> <mi>g</mi> </msub> </semantics></math>.</p>
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<p>(<b>a</b>) Sample preparation and multiscale imaging of the UG1A diode, showcasing the individual steps, ranging from the mechanical preparation to the contacted TEM lamella. The top panel shows a macroscopic view (light microscopy, LM) of the mechanically ground UG1A diode with the device visible, centered in between p- and n-contacts. The middle panel displays a voltage contrast image acquired by Scanning Electron Microscopy (SEM) utilizing a micro-manipulator (colored red) as an electrical contact, indicating a potential difference across the p–n junction interface (plotted in red, from <math display="inline"><semantics> <mrow> <mo>−</mo> <mn>2</mn> </mrow> </semantics></math> <math display="inline"><semantics> <mi mathvariant="normal">V</mi> </semantics></math> on the p-side to 0 <math display="inline"><semantics> <mi mathvariant="normal">V</mi> </semantics></math> on the n-side). The bottom panels show SEM images of the FIB-prepared lamella in top (electron image) and side views (ion image), highlighting the p- and n-doped areas within and the vacuum region surrounding the sample. (<b>b</b>) Potential model using SIMP. The upper diagram depicts the initial 2D potential distribution across the p–n junction (red line) and within the supporting chip with an applied reverse-bias <math display="inline"><semantics> <msub> <mi>V</mi> <mrow> <mi>t</mi> <mi>o</mi> <mi>t</mi> </mrow> </msub> </semantics></math>, while the black dashed lines represent the electric potential extending into the vacuum calculated by SIMP. The lower diagram shows a schematic cross-section of the SIMP-based extension of the initial 2D potential with an effective thickness <math display="inline"><semantics> <msub> <mi>t</mi> <mrow> <mi>e</mi> <mi>f</mi> <mi>f</mi> </mrow> </msub> </semantics></math> along the <span class="html-italic">z</span>-axis to the full 3D potential distribution, needed for calculating the projected potentials and simulated phases.</p>
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<p>(<b>a</b>) Normalized simulated phase (calculated by SIMP) of the UG1A diode under reverse-bias condition (<math display="inline"><semantics> <mrow> <msub> <mi>U</mi> <mrow> <mi>e</mi> <mi>x</mi> <mi>t</mi> </mrow> </msub> <mo>=</mo> <mo>−</mo> <mn>2</mn> <mo> </mo> <mi mathvariant="normal">V</mi> </mrow> </semantics></math>). The white boxes indicate the areas used as reference and object wave regions in the static electron holographic experiments and the dashed white box highlight the area of the contacted TEM lamella. (<b>b</b>) Comparison of the modeled phase (difference between object and reference wave regions, top row) with experimental phase reconstructions (bottom row) at different applied biases: <math display="inline"><semantics> <mrow> <msub> <mi>U</mi> <mrow> <mi>e</mi> <mi>x</mi> <mi>t</mi> </mrow> </msub> <mo>=</mo> <mo>−</mo> <mn>2</mn> <mo> </mo> <mi mathvariant="normal">V</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mo>−</mo> <mn>1</mn> </mrow> </semantics></math> <math display="inline"><semantics> <mi mathvariant="normal">V</mi> </semantics></math>, and 0 <math display="inline"><semantics> <mi mathvariant="normal">V</mi> </semantics></math>. The dashed white boxes highlight the area of the contacted TEM lamella. (<b>c</b>) Phase profiles extracted from SIMP (dotted lines) and experimental data (solid lines) across the diode for varying biasing conditions.</p>
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<p>(<b>a</b>) Static phase reconstruction of the UG1A diode biased with <math display="inline"><semantics> <mrow> <mo>−</mo> <mn>1</mn> </mrow> </semantics></math> <math display="inline"><semantics> <mi mathvariant="normal">V</mi> </semantics></math>, highlighting the space-charge region (SCR) between the p- and n-doped sides. The dashed white box outlines the area of the contacted TEM lamella; the orange polygon outlines the FoV for the time-resolved measurements. (<b>b</b>) Reconstructed dynamic phases, acquired with a time resolution of <math display="inline"><semantics> <mrow> <mi>τ</mi> <mo>=</mo> <mn>25</mn> <mo> </mo> <mi>ns</mi> </mrow> </semantics></math> at a repetition rate of <math display="inline"><semantics> <mrow> <mi>f</mi> <mo>=</mo> <mn>3</mn> <mo> </mo> <mi mathvariant="normal">MHz</mi> </mrow> </semantics></math>, showing the phase distribution for different switching states (<math display="inline"><semantics> <mrow> <mo>−</mo> <mn>1</mn> </mrow> </semantics></math> <math display="inline"><semantics> <mi mathvariant="normal">V</mi> </semantics></math> at <math display="inline"><semantics> <mrow> <mi>t</mi> <mo>=</mo> <mn>150</mn> <mo> </mo> <mi>ns</mi> </mrow> </semantics></math> and 0 <math display="inline"><semantics> <mi mathvariant="normal">V</mi> </semantics></math> at <math display="inline"><semantics> <mrow> <mi>t</mi> <mo>=</mo> <mn>61</mn> <mo> </mo> <mi>ns</mi> </mrow> </semantics></math>) of the diode. The regions marked by orange lines indicate the areas used for the phase profiles in <span class="html-italic">x</span>- and <span class="html-italic">y</span>-directions. (<b>c</b>) Phase profiles at different biases (<math display="inline"><semantics> <mrow> <mo>−</mo> <mn>1</mn> </mrow> </semantics></math> <math display="inline"><semantics> <mi mathvariant="normal">V</mi> </semantics></math> and 0 <math display="inline"><semantics> <mi mathvariant="normal">V</mi> </semantics></math>) with orange dashed lines indicating the spatial range for time-resolved measurements (small FoV), (<b>d</b>) plot of the phase slopes along the <span class="html-italic">x</span>-axis, and (<b>e</b>) phase profiles along the <span class="html-italic">y</span>-axis for <math display="inline"><semantics> <mrow> <mo>−</mo> <mn>1</mn> </mrow> </semantics></math> <math display="inline"><semantics> <mi mathvariant="normal">V</mi> </semantics></math> and 0 <math display="inline"><semantics> <mi mathvariant="normal">V</mi> </semantics></math>.</p>
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<p>(<b>a</b>) Dynamic phase frame of the UG1A diode at <math display="inline"><semantics> <mrow> <mo>−</mo> <mn>1</mn> </mrow> </semantics></math> <math display="inline"><semantics> <mi mathvariant="normal">V</mi> </semantics></math> bias (150 ns), depicting the SCR and its extension into the n-doped region, with the subregions (I–IV) marked for the analysis of the temporal phase progression (in (<b>b</b>)). The lower panel schematically illustrates the position of the equi-phase lines. (<b>b</b>) Normalized phase values over time, averaged in each subregion (I–IV) during diode switching, showing localized phase modulations corresponding to bias changes. The gray-shaded areas indicate the location-dependent transitions captured by iGate. For improved visibility, the period of <math display="inline"><semantics> <mrow> <mi>T</mi> <mo>=</mo> <mn>333.3</mn> <mo> </mo> <mi>ns</mi> </mrow> </semantics></math> is repeated (<math display="inline"><semantics> <mrow> <mi>f</mi> <mo>=</mo> <mn>3</mn> <mo> </mo> <mi>MHz</mi> </mrow> </semantics></math>). (<b>c</b>) Sequential phase frames of the switching behavior into and out of reverse-bias condition, demonstrating the temporal evolution of the equi-phase lines (red dashed) within the SCR.</p>
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12 pages, 9328 KiB  
Article
Fourier Ptychographic Microscopy with Optical Aberration Correction and Phase Unwrapping Based on Semi-Supervised Learning
by Xuhui Zhou, Haiping Tong, Er Ouyang, Lin Zhao and Hui Fang
Appl. Sci. 2025, 15(1), 423; https://doi.org/10.3390/app15010423 (registering DOI) - 5 Jan 2025
Viewed by 99
Abstract
Fourier ptychographic microscopy (FPM) has recently emerged as an important non-invasive imaging technique which is capable of simultaneously achieving high resolution, wide field of view, and quantitative phase imaging. However, FPM still faces challenges in the image reconstruction due to factors such as [...] Read more.
Fourier ptychographic microscopy (FPM) has recently emerged as an important non-invasive imaging technique which is capable of simultaneously achieving high resolution, wide field of view, and quantitative phase imaging. However, FPM still faces challenges in the image reconstruction due to factors such as noise, optical aberration, and phase wrapping. In this work, we propose a semi-supervised Fourier ptychographic transformer network (SFPT) for improved image reconstruction, which employs a two-stage training approach to enhance the image quality. First, self-supervised learning guided by low-resolution amplitudes and Zernike modes is utilized to recover pupil function. Second, a supervised learning framework with augmented training datasets is applied to further refine reconstruction quality. Moreover, the unwrapped phase is recovered by adjusting the phase distribution range in the augmented training datasets. The effectiveness of the proposed method is validated by using both the simulation and experimental data. This deep-learning-based method has potential applications for imaging thicker biology samples. Full article
(This article belongs to the Special Issue Advances in Optical Imaging and Deep Learning)
19 pages, 708 KiB  
Review
Menin Inhibitors: New Targeted Therapies for Specific Genetic Subtypes of Difficult-to-Treat Acute Leukemias
by Pasquale Niscola, Valentina Gianfelici, Marco Giovannini, Daniela Piccioni, Carla Mazzone and Paolo de Fabritiis
Cancers 2025, 17(1), 142; https://doi.org/10.3390/cancers17010142 (registering DOI) - 4 Jan 2025
Viewed by 283
Abstract
Menin (MEN1) is a well-recognized powerful tumor promoter in acute leukemias (AL) with KMT2A rearrangements (KMT2Ar, also known as MLL) and mutant nucleophosmin 1 (NPM1m) acute myeloid leukemia (AML). MEN1 is essential for sustaining leukemic transformation due to its interaction with wild-type KMT2A [...] Read more.
Menin (MEN1) is a well-recognized powerful tumor promoter in acute leukemias (AL) with KMT2A rearrangements (KMT2Ar, also known as MLL) and mutant nucleophosmin 1 (NPM1m) acute myeloid leukemia (AML). MEN1 is essential for sustaining leukemic transformation due to its interaction with wild-type KMT2A and KMT2A fusion proteins, leading to the dysregulation of KMT2A target genes. MEN1 inhibitors (MIs), such as revumenib, ziftomenib, and other active small molecules, represent a promising new class of therapies currently under clinical development. By disrupting the MEN1-KMT2Ar complex, a group of proteins involved in chromatin remodeling, MIs induce apoptosis and differentiation AL expressing KMT2Ar or NPM1m AML. Phase I and II clinical trials have evaluated MIs as standalone treatments and combined them with other synergistic drugs, yielding promising results. These trials have demonstrated notable response rates with manageable toxicities. Among MIs, ziftomenib received orphan drug and breakthrough therapy designations from the European Medicines Agency in January 2024 and the Food and Drug Administration (FDA) in April 2024, respectively, for treating R/R patients with NPM1m AML. Additionally, in November 2024, the FDA approved revumenib for treating R/R patients with KMT2Ar-AL. This review focuses on the pathophysiology of MI-sensitive AL, primarily AML. It illustrates data from clinical trials and discusses the emergence of resistance mechanisms. In addition, we outline future directions for the use of MIs and emphasize the need for further research to fully realize the potential of these novel compounds, especially in the context of specific genetic subtypes of challenging AL. Full article
(This article belongs to the Section Cancer Therapy)
22 pages, 12560 KiB  
Article
Resilient Waterfront Futures: Mapping Vulnerabilities and Designing Floating Urban Models for Flood Adaptation on the Tiber Delta
by Livia Calcagni, Adriano Ruggiero and Alessandra Battisti
Land 2025, 14(1), 87; https://doi.org/10.3390/land14010087 (registering DOI) - 4 Jan 2025
Viewed by 235
Abstract
This paper explores the feasibility of floating urban development in Italy, given its extensive coastline and inland hydrographic network. The key drivers for floating urban development, as an adaptive approach in low-lying waterfront areas, include the increasing threats posed by rising sea levels [...] Read more.
This paper explores the feasibility of floating urban development in Italy, given its extensive coastline and inland hydrographic network. The key drivers for floating urban development, as an adaptive approach in low-lying waterfront areas, include the increasing threats posed by rising sea levels and flooding and the shortage of land for urban expansion. However, as not all waterfront areas are suitable for floating urban development, a geographical analysis based on a thorough evaluation of multiple factors, including urban–economic parameters and climate-related variables, led to the identification of a specific area of the Lazio coast, the river Tiber Delta. A comprehensive urban mapping process provided a multifaceted geo-referenced information layer, including several climatic, urban, anthropic, and environmental parameters. Within the GIS environment, it is possible to extract and perform statistical analyses crucial for assessing the impact of flood and sea-level rise hazards, particularly regarding buildings and land cover. This process provides a robust framework for understanding the spatial dimensions of flood and sea-level rise impacts and supporting informed design-making. A research-by-design phase follows the simulation research and mapping process. Several design scenarios are developed aimed at regenerating this vulnerable area. These scenarios seek to transform its susceptibility to flooding into a resilient, adaptive, urban identity, offering climate-resilient housing solutions for a population currently residing in unauthorized, substandard housing within high flood-risk zones. This paper proposes a comprehensive analytical methodology for supporting the design process of floating urban development, given the highly determinant role of site-specificity in such a challenging and new urban development approach. Full article
(This article belongs to the Section Urban Contexts and Urban-Rural Interactions)
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Figure 1
<p>Breakdown summary of the methodology workflow.</p>
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<p>Sea level rise scenarios (SSP1-1.9, SSP2-4.5, and SSP5-8.5) for the years 2050, 2100, and 2150.</p>
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<p>Foundation module developed by SEAform MOREnergy Lab© at Politecnico di Torino.</p>
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<p>Sea level rise scenario SSP1-1.9 for the years 2050, 2100, and 2150.</p>
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<p>Sea level rise scenario SSP5-8.5 for the years 2050, 2100, and 2150.</p>
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<p>Land use cover percentage of SLR-affected areas according to SSP1-1.9 and SSP5-8.5 for 2050 and 2150.</p>
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<p>Land use classification for SLR-affected areas according to SSP5-8.5 (2150).</p>
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<p>Hydrogeological fluvial and coastal inundation risk map (Geoportale Regione Lazio).</p>
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<p>Territorial framework of the pilot area of Isola Sacra.</p>
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<p>Soil consumption around the Tiber Delta from 1944 (RAF—Royal Air Force—satellite image) to 2023 (Satellite image from Google Earth: Data SIO, NOAA, U.S. Navy, NGA, GEBCO Image © 2023 TerraMetrics).</p>
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<p>Photos of the unauthorized informal fabric of Isola Sacra: (<b>a</b>,<b>b</b>) coastal stretch houses on stilts; (<b>c</b>) unpaved road and informal house; (<b>d</b>) houses on stilts in the port area; (<b>e</b>) unauthorized informal houses (<b>f</b>) flooded unpaved road; and (<b>g</b>) unpaved inner road and informal fabric.</p>
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<p>Pilot area analysis: hydrography, naval routes, bathymetry, natural protected areas, and archaeological areas.</p>
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<p>Design scenarios for a pilot area developed by the design and research team led by Prof. Alessandra Battisti, coordinated by Livia Calcagni, and supervised by Adriano Ruggiero: 1st Design Scenario by Federico Bambini, Alessia Baglieri, Francesca Chiarini, and Anita Conti Da Cunha; 2nd Design Scenario by Cherry Aala, Mattia Morgia, Rosa Bianco, and Giusy Solis; 3rd Design Scenario by Flavia Leone, Anna Mezzalana, and Daniele Scalia.</p>
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26 pages, 5179 KiB  
Article
Thermally Induced Phenomena in Amorphous Nifedipine: The Correlation Between the Structural Relaxation and Crystal Growth Kinetics
by Roman Svoboda
Molecules 2025, 30(1), 175; https://doi.org/10.3390/molecules30010175 (registering DOI) - 4 Jan 2025
Viewed by 394
Abstract
The particle size-dependent processes of structural relaxation and crystal growth in amorphous nifedipine were studied by means of non-isothermal differential scanning calorimetry (DSC) and Raman microscopy. The enthalpy relaxation was described in terms of the Tool–Narayanaswamy–Moynihan model, with the relaxation motions exhibiting the [...] Read more.
The particle size-dependent processes of structural relaxation and crystal growth in amorphous nifedipine were studied by means of non-isothermal differential scanning calorimetry (DSC) and Raman microscopy. The enthalpy relaxation was described in terms of the Tool–Narayanaswamy–Moynihan model, with the relaxation motions exhibiting the activation energy of 279 kJ·mol−1 for the temperature shift, but with a significantly higher value of ~500 kJ·mol−1 being obtained for the rapid transition from the glassy to the undercooled liquid state (the latter is in agreement with the activation energy of the viscous flow). This may suggest different types of relaxation kinetics manifesting during slow and rapid heating, with only a certain portion of the relaxation motions occurring that are dependent on the parameters of a given temperature range and time frame. The DSC-recorded crystallization was found to be complex, consisting of four sub-processes: primary crystal growth of αp and βp polymorphs, enantiotropic βp → βp′ transformation, and βpp′ → αp recrystallization. Overall, nifedipine was found to be prone to the rapid glass-crystal growth that occurs below the glass transition temperature; a tendency of low-temperature degradation of the amorphous phase markedly increased with decreasing particle size (the main reason being the increased number of surface and bulk micro-cracks and mechanically induced defects). The activation energies of the DSC-monitored crystallization processes varied in the 100–125 kJ·mol−1 range, which is in agreement with the microscopically measured activation energies of crystal growth. Considering the potential correlations between the structural relaxation and crystal growth processes interpreted within the Transition Zone Theory, a certain threshold in the complexity and magnitude of the cooperating regions (as determined from the structural relaxation) may exist, which can lead to a slow-down of the crystal growth if exceeded. Full article
(This article belongs to the Special Issue Exclusive Feature Papers in Physical Chemistry, 2nd Edition)
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Figure 1

Figure 1
<p>(<b>A</b>–<b>F</b>) DSC curves obtained for differently sized NIF powders at heating rates <span class="html-italic">q<sup>+</sup></span> = 0.5–20 °C·min<sup>−1</sup>. Exothermic effects evolve in the upwards direction. The DSC curves were shifted along the Y axis to enhance the clarity.</p>
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<p>(<b>A</b>–<b>D</b>) DSC curves obtained for the 50–125 μm and 500–1000 μm NIF powders at heating rates <span class="html-italic">q<sup>+</sup></span> = 0.5–20 °C·min<sup>−1</sup>. Graphs (<b>B</b>,<b>D</b>) are zoomed in on the crystallization peaks measured at the lowest <span class="html-italic">q<sup>+</sup></span>. Exothermic effects evolve in the upwards direction. The DSC curves were shifted along the Y axis to enhance the clarity.</p>
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<p>(<b>A</b>) DSC curves obtained for different NIF powders at <span class="html-italic">q<sup>+</sup></span> = 0.5 °C·min<sup>−1</sup>—the graph is zoomed in on the glass transition region. The purple curves show the original measurements, during which nucleation and crystal growth occurred already during the idle period in the DSC autosampler. (<b>B</b>–<b>D</b>) Kissinger plots constructed for the <span class="html-italic">T<sub>g</sub></span>, <span class="html-italic">T<sub>p</sub></span><sub>1</sub>, and <span class="html-italic">T<sub>p</sub></span><sub>2</sub> quantities. (<b>E</b>,<b>F</b>) Crystallization and melting enthalpies obtained for the NIF powders in dependence on <span class="html-italic">q<sup>+</sup></span> and <span class="html-italic">d<sub>aver</sub></span>.</p>
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<p>(<b>A</b>) A set of CR cycles obtained for the re-melted NIF powder. The exothermic effects evolve in the upward direction. The arrows and symbols <span class="html-italic">q<sup>−</sup></span> and <span class="html-italic">q<sup>+</sup></span> denote the parts of the DSC data in which the cooling and heating steps of the CR cycles are shown, respectively. Absolute magnitudes of <span class="html-italic">q<sup>−</sup></span> and <span class="html-italic">q<sup>+</sup></span> being applied in the corresponding steps of the cyclic program increase in the directions of the given arrows. (<b>B</b>) DSC data for the CR cycles zoomed in on the heating steps performed at low <span class="html-italic">q<sup>+</sup></span>. (<b>C</b>) A set of CHR cycles obtained for the re-melted NIF powder; only the data corresponding to the already normalized heating curves are shown. The arrows denote the increase in |<span class="html-italic">q<sup>−</sup></span>| in the cooling step preceding to the depicted heating step.</p>
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<p>(<b>A</b>) DSC curve measured for the amorphous 180–250 μm NIF powder at 1 °C·min<sup>−1</sup> (red data; top and right axes), where the letters A–F denote specific positions (defined by the corresponding temperatures) on the DSC curve. The Raman spectra then correspond to these characteristic events (as denoted by the arrows and letters) on the DSC curve (black data; bottom and left axes). (<b>B</b>,<b>C</b>) Optical micrographs of NIF crystals grown at high <span class="html-italic">q</span><sup>+</sup>.</p>
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<p>(<b>A</b>) Evaluation of Δ<span class="html-italic">h<sup>*</sup></span> from the CR cycles – points represent experimental data and line is their linear fit. (<b>B</b>) Evaluation of Δ<span class="html-italic">h<sup>*</sup></span> from the CHR cycles – points represent experimental data and lines are their linear fits in two different temperature regions (see text for details). (<b>C</b>) The application of the simulation-comparative method to the CHR relaxation measurements of the amorphous NIF. Points correspond to the experimental data. Black solid lines refer to simulated data for the various combinations of the TNM parameters <span class="html-italic">β</span> and <span class="html-italic">x</span> (both parameters changing with the 0.1 step). Colored line refers to the simulated <span class="html-italic">β</span> + <span class="html-italic">x</span> combination best fitting the experimental data.</p>
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<p>(<b>A</b>) Activation energies calculated for the three characteristic temperatures based on the Kissinger plots (<a href="#molecules-30-00175-f003" class="html-fig">Figure 3</a>B–D). (<b>B</b>) An example of the NIF crystallization DSC curve (125–180 μm at 10 °C·min<sup>−1</sup>) deconvoluted by means of the sc-MKA method. (<b>C</b>) Crystallization enthalpies obtained via sc-MKA method for the NIF powders (the data are averaged over all <span class="html-italic">q<sup>+</sup></span>). (<b>D</b>) AC kinetic parameters obtained via sc-MKA method for the DSC crystallization data of the NIF powders (the data are averaged over all <span class="html-italic">q<sup>+</sup></span>). The lines (scaled according to the top axis) indicate the fingerprint <span class="html-italic">M</span> + <span class="html-italic">N</span> combinations attributed to the various values of the kinetic exponent of the JMA model.</p>
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<p>(<b>A</b>) Temperature dependences of different crystal growth modes (taken from [<a href="#B70-molecules-30-00175" class="html-bibr">70</a>]). Points represent experimental data, lines indicate second-order polynomial fits. (<b>B</b>) Temperature dependences of dynamic viscosity (black data and left Y axis) and dielectric relaxation time (red data and right Y axis) taken from [<a href="#B42-molecules-30-00175" class="html-bibr">42</a>,<a href="#B71-molecules-30-00175" class="html-bibr">71</a>]. Points represent experimental data, lines indicate second-order polynomial fits. (<b>C</b>) Comparison of temperature dependences of activation energies determined for different processes occurring in amorphous NIF.</p>
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27 pages, 1438 KiB  
Review
Metal-Based Catalysts in Biomass Transformation: From Plant Feedstocks to Renewable Fuels and Chemicals
by Muhammad Saeed Akhtar, Muhammad Tahir Naseem, Sajid Ali and Wajid Zaman
Catalysts 2025, 15(1), 40; https://doi.org/10.3390/catal15010040 (registering DOI) - 4 Jan 2025
Viewed by 270
Abstract
The transformation of biomass into renewable fuels and chemicals has gained remarkable attention as a sustainable alternative to fossil-based resources. Metal-based catalysts, encompassing transition and noble metals, are crucial in these transformations as they drive critical reactions, such as hydrodeoxygenation, hydrogenation, and reforming. [...] Read more.
The transformation of biomass into renewable fuels and chemicals has gained remarkable attention as a sustainable alternative to fossil-based resources. Metal-based catalysts, encompassing transition and noble metals, are crucial in these transformations as they drive critical reactions, such as hydrodeoxygenation, hydrogenation, and reforming. Transition metals, including nickel, cobalt, and iron, provide cost-effective solutions for large-scale processes, while noble metals, such as platinum and palladium, exhibit superior activity and selectivity for specific reactions. Catalytic advancements, including the development of hybrid and bimetallic systems, have further improved the efficiency, stability, and scalability of biomass transformation processes. This review highlights the catalytic upgrading of lignocellulosic, algal, and waste biomass into high-value platform chemicals, biofuels, and biopolymers, with a focus on processes, such as Fischer–Tropsch synthesis, aqueous-phase reforming, and catalytic cracking. Key challenges, including catalyst deactivation, economic feasibility, and environmental sustainability, are examined alongside emerging solutions, like AI-driven catalyst design and lifecycle analysis. By addressing these challenges and leveraging innovative technologies, metal-based catalysis can accelerate the transition to a circular bioeconomy, supporting global efforts to combat climate change and reduce fossil fuel dependence. Full article
(This article belongs to the Special Issue Catalytic Conversion of Biomass to Chemicals)
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<p>Mechanisms of Metal Catalysts in Biomass Transformation.</p>
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<p>Catalytic Pathways in Biomass Conversion.</p>
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<p>Catalytic Cracking Process in Biorefineries.</p>
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12 pages, 7433 KiB  
Article
Effect of TiS2 on Hydrogen Absorption and Desorption Performance of Mechanically Ball-Milled Mg95Ce5 Alloy
by Haitao Lv, Liangrui Wang, Xiulong Ou and Zhiming Li
Symmetry 2025, 17(1), 71; https://doi.org/10.3390/sym17010071 (registering DOI) - 4 Jan 2025
Viewed by 335
Abstract
Magnesium-based materials have been considered to be potential hydrogen storage materials due to their high hydrogen storage capacity and abundance in natural resources. In order to improve the hydrogen storage performance of magnesium-based materials, a Mg95Ce5 alloy was prepared by [...] Read more.
Magnesium-based materials have been considered to be potential hydrogen storage materials due to their high hydrogen storage capacity and abundance in natural resources. In order to improve the hydrogen storage performance of magnesium-based materials, a Mg95Ce5 alloy was prepared by using the vacuum induction melting method. Moreover, TiS2 was used as a catalyst, and a series of Mg95Ce5 + x wt% TiS2 (x = 0, 3, 5 and 10) composites with different TiS2 contents were prepared by the mechanical ball-milling method. The addition of TiS2 as a catalyst broke the inherent symmetry of the Mg95Ce5 alloy at both the atomic and defect levels, potentially improving hydrogen storage by modifying hydrogen diffusion pathways and interaction sites. The structural analysis results indicate that the Mg95Ce5 alloy is composed of Mg and CeMg12 phases. After the hydrogenation process, the Mg and CeMg12 phases in the Mg95Ce5–TiS2 composites transformed into CeH2.73 and MgH2. In addition, CeS2 and TiH1.5 could be detected in the hydrogenated samples, indicating that the TiS2 decomposed and changed into CeS2 and TiH1.5 during the hydrogenation reaction. Adding TiS2 to Mg95Ce5 alloy could significantly improve the hydrogen absorption and desorption kinetic properties, and the dehydrogenation peak temperature of the composites was reduced from 389.5 °C to 329.7 °C when the TiS2 content increased from 0 to 10 wt%. However, the addition of TiS2 inevitably reduced the reversable hydrogen storage capacity of the composites. The hydrogen absorption and desorption thermodynamic measurement results indicate that the TiS2 catalyst has almost no influence on the enthalpy and entropy changes of the composites during the hydrogenation process. Full article
(This article belongs to the Section Engineering and Materials)
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<p>XRD patterns and SEM images of the TiS<sub>2</sub> catalyst and the Mg<sub>95</sub>Ce<sub>5</sub> alloy: (<b>a</b>) XRD patterns of the TiS<sub>2</sub> and Mg<sub>95</sub>Ce<sub>5</sub> samples; (<b>b</b>) SEM image (secondary electron image) of the TiS<sub>2</sub> catalyst; (<b>c</b>) SEM image (backscattered electron image) of the Mg<sub>95</sub>Ce<sub>5</sub> alloy ingot.</p>
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<p>XRD patterns of the ball-milled Mg<sub>95</sub>Ce<sub>5</sub>–TiS<sub>2</sub> composites with different TiS<sub>2</sub> contents.</p>
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<p>SEM images of the ball-milled Mg<sub>95</sub>Ce<sub>5</sub>–TiS<sub>2</sub> composites with different TiS<sub>2</sub> content: (<b>a</b>) Mg<sub>95</sub>Ce<sub>5</sub>; (<b>b</b>) Mg<sub>95</sub>Ce<sub>5</sub>–3 TiS<sub>2</sub>, (<b>c</b>) Mg<sub>95</sub>Ce<sub>5</sub>–5 TiS<sub>2</sub>, (<b>d</b>) Mg<sub>95</sub>Ce<sub>5</sub>–10 TiS<sub>2</sub>.</p>
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<p>XRD patterns of the hydrogenated and dehydrogenated Mg<sub>95</sub>Ce<sub>5</sub>–TiS<sub>2</sub> composites: (<b>a</b>) hydrogenated samples; (<b>b</b>) dehydrogenated samples.</p>
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<p>TPD curves of the Mg<sub>95</sub>Ce<sub>5</sub>–TiS<sub>2</sub> composites measured at a heating rate of 3 °C min<sup>−1</sup>.</p>
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<p>Hydrogen absorption and desorption kinetic curves of the Mg<sub>95</sub>Ce<sub>5</sub>–TiS<sub>2</sub> composites at various temperatures: (<b>a</b>–<b>c</b>) absorption curves; (<b>d</b>–<b>f</b>) desorption curves.</p>
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<p>(<b>a</b>–<b>d</b>) JMAK fitting results of ln[−ln(1 − <span class="html-italic">α</span>)] versus ln<span class="html-italic">t</span> and corresponding fitting lines for the dehydrogenation of Mg<sub>95</sub>Ce<sub>5</sub>–TiS<sub>2</sub> composites; (<b>e</b>) Arrhenius plots and corresponding fitting lines for the composites; (<b>f</b>) obtained <span class="html-italic">E</span><sub>a</sub> values of the composites with different TiS<sub>2</sub> contents.</p>
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<p>(<b>a</b>–<b>d</b>) <span class="html-italic">p</span>–<span class="html-italic">c</span>–<span class="html-italic">T</span> curves of the Mg<sub>95</sub>Ce<sub>5</sub>–TiS<sub>2</sub> composites at different temperatures; (<b>e</b>,<b>f</b>) van’t Hoff plots and corresponding fitting lines for hydrogen absorption and desorption reactions.</p>
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24 pages, 2364 KiB  
Article
Breakthrough Position and Trajectory of Sustainable Energy Technology
by Bart Bossink, Sandra Hasanefendic, Marjolein Hoogstraaten and Charusheela Ramanan
Sustainability 2025, 17(1), 313; https://doi.org/10.3390/su17010313 - 3 Jan 2025
Viewed by 341
Abstract
This research aims to determine the position and the breakthrough trajectory of sustainable energy technologies. Fine-grained insights into these breakthrough positions and trajectories are limited. This research seeks to fill this gap by analyzing sustainable energy technologies’ breakthrough positions and trajectories in terms [...] Read more.
This research aims to determine the position and the breakthrough trajectory of sustainable energy technologies. Fine-grained insights into these breakthrough positions and trajectories are limited. This research seeks to fill this gap by analyzing sustainable energy technologies’ breakthrough positions and trajectories in terms of development, application, and upscaling. To this end, the breakthrough positions and trajectories of seven sustainable energy technologies, i.e., hydrogen from seawater electrolysis, hydrogen airplanes, inland floating photovoltaics, redox flow batteries, hydrogen energy for grid balancing, hydrogen fuel cell electric vehicles, and smart sustainable energy houses, are analyzed. This is guided by an extensively researched and literature-based model that visualizes and describes these technologies’ experimentation and demonstration stages. This research identifies where these technologies are located in their breakthrough trajectory in terms of the development phase (prototyping, production process and organization, and niche market creation and sales), experiment and demonstration stage (technical, organizational, and market), the form of collaboration (public–private, private–public, and private), physical location (university and company laboratories, production sites, and marketplaces), and scale-up type (demonstrative, and first-order and second-order transformative). For scientists, this research offers the opportunity to further refine the features of sustainable energy technologies’ developmental positions and trajectories at a detailed level. For practitioners, it provides insights that help to determine investments in various sustainable energy technologies. Full article
(This article belongs to the Special Issue Sustainable Clean Energy and Green Economic Growth)
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<p>Basic model of sustainable energy technology innovation ([<a href="#B4-sustainability-17-00313" class="html-bibr">4</a>,<a href="#B5-sustainability-17-00313" class="html-bibr">5</a>,<a href="#B20-sustainability-17-00313" class="html-bibr">20</a>,<a href="#B21-sustainability-17-00313" class="html-bibr">21</a>], adapted).</p>
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<p>Innovative R&amp;D and E&amp;D activities ([<a href="#B4-sustainability-17-00313" class="html-bibr">4</a>,<a href="#B5-sustainability-17-00313" class="html-bibr">5</a>,<a href="#B20-sustainability-17-00313" class="html-bibr">20</a>,<a href="#B21-sustainability-17-00313" class="html-bibr">21</a>], adapted).</p>
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<p>Partnership types ([<a href="#B4-sustainability-17-00313" class="html-bibr">4</a>,<a href="#B5-sustainability-17-00313" class="html-bibr">5</a>,<a href="#B20-sustainability-17-00313" class="html-bibr">20</a>,<a href="#B21-sustainability-17-00313" class="html-bibr">21</a>], adapted).</p>
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<p>Organizational locations ([<a href="#B4-sustainability-17-00313" class="html-bibr">4</a>,<a href="#B5-sustainability-17-00313" class="html-bibr">5</a>,<a href="#B20-sustainability-17-00313" class="html-bibr">20</a>,<a href="#B21-sustainability-17-00313" class="html-bibr">21</a>], adapted).</p>
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<p>Upscaling types ([<a href="#B4-sustainability-17-00313" class="html-bibr">4</a>,<a href="#B5-sustainability-17-00313" class="html-bibr">5</a>,<a href="#B20-sustainability-17-00313" class="html-bibr">20</a>,<a href="#B21-sustainability-17-00313" class="html-bibr">21</a>], adapted).</p>
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<p>Assessment of sustainable energy technologies’ breakthrough positions and trajectories.</p>
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14 pages, 2167 KiB  
Article
Effect of Staggered vs. Simultaneous Co-Administration of Bempedoic Acid on Pharmacokinetics of Pravastatin: Randomized, Cross-Over Clinical Trial in Healthy Volunteers
by Felicitas Stoll, Salvatore Amato, Max Sauter, Jürgen Burhenne, Johanna Weiss, Walter E. Haefeli and Antje Blank
Pharmaceutics 2025, 17(1), 60; https://doi.org/10.3390/pharmaceutics17010060 - 3 Jan 2025
Viewed by 317
Abstract
Background/Objectives: Bempedoic acid (BA) is a novel cholesterol-lowering agent with proven positive effects on cardiovascular endpoints. Because it is an inhibitor of the hepatic transporters OATP1B1 and OATP1B3, two uptake transporters regulating the intrahepatic availability of statins, it increases the systemic exposure [...] Read more.
Background/Objectives: Bempedoic acid (BA) is a novel cholesterol-lowering agent with proven positive effects on cardiovascular endpoints. Because it is an inhibitor of the hepatic transporters OATP1B1 and OATP1B3, two uptake transporters regulating the intrahepatic availability of statins, it increases the systemic exposure of co-administered statins. This interaction could raise the risk of myopathy. We hypothesized that the drug interaction between BA and statins could be mitigated by staggered administration. Methods: This was a single-centre, open-label, randomized, two-arm, cross-over, phase I drug interaction trial in healthy volunteers (EudraCT-No: 2022-001096-13). The primary objective was to evaluate the OATP1B1 inhibitory effect of BA on exposure to pravastatin after simultaneous administration versus different schedules of staggered administration. A secondary objective was to evaluate the impact of SLCO1B1 genotypes (*1, *5, *15, *37) on pravastatin exposure. Pravastatin was administered in single oral doses of 40 mg at six visits. After a baseline visit with pravastatin alone, BA was dosed to steady state at the approved oral dose of 180 mg. Outcome measures were the area under the plasma concentration–time curve, extrapolated to infinity (AUC) and Cmax of pravastatin, 3α-hydroxy-pravastatin (pravastatin 3-iso), and pravastatin lactone, and their geometric mean ratios (GMRs) of different schedules of administration. Log-transformed AUC and Cmax were compared with one-way ANOVA with a 90% confidence interval (CI). Results: Fourteen participants completed all visits. At BA steady state, the GMRs of pravastatin AUC and Cmax were 1.80 (90% CI 1.31–2.46) and 1.95 (90% CI 1.40–2.72), respectively, compared to baseline. There was no significant difference in pravastatin exposure between simultaneous vs. staggered administration. There was no statistically significant difference in pravastatin 3-iso or pravastatin lactone between different administration modes. For the AUC of pravastatin and pravastatin 3-iso, haplotype was a significant source of variation (63% and 20%, respectively), while the type of administration (simultaneous vs. staggered) had no significant impact. Conclusions: The increase in pravastatin exposure with concomitant intake of BA was larger than expected. There was no significant difference between simultaneous vs. staggered administration of pravastatin and BA, possibly due to a population that was heterogenous in SLCO1B1 haplotypes. Full article
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<p>Design of randomized trial in 14 healthy participants investigating the influence of timing of oral drug administration on the effect of bempedoic acid (BA) on pravastatin. There was a baseline visit with the administration of pravastatin alone before BA was dosed to steady state. During the sequence of BA morning intake, pravastatin was administered simultaneously with BA and staggered by 2 h (before and after BA). In the sequence of BA evening intake, BA was administered 12 h and 36 h before pravastatin.</p>
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<p>Plasma exposure of pravastatin (PRA; geometric mean) after oral administration of 40 mg pravastatin with no (PRA mono), simultaneous (sim.), and staggered oral co-administration of 180 mg bempedoic (BA). For the calculation of the geometric means, concentrations of zero were excluded.</p>
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<p>Plasma bempedoic acid (BA) concentrations throughout the trial according to <span class="html-italic">SLCO1B1</span> haplotype (<span class="html-italic">n</span> = 14).</p>
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<p>Association of <span class="html-italic">SLCO1B1</span> haplotypes with pravastatin (PRA) exposure (<b>a</b>) and 3α-hydroxy-pravastatin (PRA 3-iso) (<b>b</b>) (geometric mean) after administration of 40 mg pravastatin (alone) (<span class="html-italic">n</span> = 17).</p>
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<p>Pravastatin AUC<sub>∞</sub> per haplotype at baseline (PRA mono), with simultaneous (sim.) administration of 40 mg pravastatin (PRA) and 180 mg bempedoic acid (BA) and with different schedules of staggered co-administration (<span class="html-italic">n</span> = 17). Geometric mean. AUC<sub>∞</sub>: area under the time–concentration curve extrapolated to infinity.</p>
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<p>Pravastatin (PRA) (<b>a</b>) and 3α-hydroxy-pravastatin (PRA 3-iso) (<b>b</b>) exposure after administration of 40 mg pravastatin only (PRA mono) and with simultaneous (sim.) or staggered co-administration of 180 mg bempedoic acid (BA) in the participant with the *37/*37 haplotype.</p>
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19 pages, 1076 KiB  
Article
Green Spare Parts Evaluation for Hybrid Warehousing and On-Demand Manufacturing
by Idriss El-Thalji
Appl. Syst. Innov. 2025, 8(1), 8; https://doi.org/10.3390/asi8010008 - 3 Jan 2025
Viewed by 304
Abstract
Additive manufacturing and digital warehouses are transforming the way industries manage and maintain their spare parts inventory. Considering digital warehouses and on-demand manufacturing for spare parts during the project phase is a strategic decision that involves trade-offs depending on the operational needs and [...] Read more.
Additive manufacturing and digital warehouses are transforming the way industries manage and maintain their spare parts inventory. Considering digital warehouses and on-demand manufacturing for spare parts during the project phase is a strategic decision that involves trade-offs depending on the operational needs and pricing structure. This paper aims to explore the spare part evaluation process considering both physical and digital warehouse inventories. A case asset is purposefully selected and four spare part management concepts are studied using a simulation modeling approach. The results highlight that the relevant digital warehouse scenario, used in this case, managed to completely reduce all emissions related to global spare parts supply; however, this was at the expense of reducing availability by 15.1%. However, the hybrid warehouse scenario managed to increase availability by 11.5% while completely reducing all emissions related to global spare parts supply. Depending on the demand rate, the digital warehousing may not be sufficient alone to keep the production availability at the highest levels; however, it is effective in reducing the stock amount, simplifying the inventory management, and making the supply process more green and resilient. A generic estimation model for spare parts engineers is provided to determine the optimal specifications of their spare parts supply and inventory while considering digital warehouses and on-demand manufacturing. Full article
(This article belongs to the Special Issue New Challenges of Innovation, Sustainability, Resilience in X.0 Era)
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<p>Traditional and green spare parts warehousing and supply.</p>
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<p>Spare parts risk matrix by NORSOK Z-008 [<a href="#B1-asi-08-00008" class="html-bibr">1</a>].</p>
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<p>Simulation model of the asset and spare parts supply process.</p>
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<p>Asset availability and supply lead time histograms for scenario 1. <span class="html-italic">The availability histogram (<b>left</b>) has two values—value 1 (available) and 0 (unavailable)—and the mean value shows the availability rate as percent. The supply lead time histogram (<b>right</b>) present the distribution and mean value in hours</span>.</p>
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<p>Asset availability and supply lead time histograms for scenario 2.</p>
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<p>Asset availability and supply lead time histograms for scenario 3.</p>
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<p>Asset availability and supply lead time histograms for scenario 4.</p>
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<p>Spare parts stock time plot for the naive physical warehouse (scenario 1).</p>
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<p>Spare parts stock time plot for the enhanced physical warehouse (scenario 3).</p>
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<p>Spare parts stock time plot for the hybrid warehouse (scenario 4).</p>
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<p>Total spare parts cost and subscription fee over lifetime, with fees and costs in NOK.</p>
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13 pages, 11047 KiB  
Article
Memory Effect of Double Oxides Compared to Simple Ion Exchange for Controlled Fluoride Ion Capture and Release
by Asma Alazreg, Vladisav Tadić, Adela Egelja, Andrija Savić, Aleksandra Šaponjić, Marija M. Vuksanović and Radmila Jančić Heinemann
Materials 2025, 18(1), 162; https://doi.org/10.3390/ma18010162 - 3 Jan 2025
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Abstract
A layered double hydroxide (LDH) containing Mg and Al was synthesized from a nitrate solution using a coprecipitation method. The resulting material exhibited a homogeneous structure, which, upon calcination at 450 °C, was converted into a layered double oxide (LDO). When rehydrated in [...] Read more.
A layered double hydroxide (LDH) containing Mg and Al was synthesized from a nitrate solution using a coprecipitation method. The resulting material exhibited a homogeneous structure, which, upon calcination at 450 °C, was converted into a layered double oxide (LDO). When rehydrated in a fluoride-containing aqueous solution, the original hydroxide structure was successfully regenerated, demonstrating the LDH’s memory effect. During this transformation, fluoride anions from the solution were incorporated into the interlayer galleries to maintain electroneutrality, as confirmed by energy-dispersive X-ray spectroscopy (EDS) analysis. Separately, the process was tested in the presence of ethanol, which significantly enhanced the incorporation of fluoride ions into the interlayer spaces. The material’s potential for controlled fluoride release was evaluated by monitoring its release into demineralized water. For comparison, a simple ion-exchange process was carried out using the as-synthesized MgAl LDH. The memory effect mechanism displayed a notably higher fluoride incorporation capacity compared to the ion-exchange process. Among all the specimens, the sample reconstructed in the presence of ethanol exhibited the highest fluoride ion content. Fluoride release studies revealed a two-phase pattern: an initial rapid release within the first three hours, followed by a substantially slower release over time. Full article
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<p>Schematic representation of (<b>a</b>) the synthesis of LDH via coprecipitation and (<b>b</b>) the calcination of LDH to obtain LDO.</p>
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<p>Schematic representation of ion exchange and the memory effect of the LDH.</p>
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<p>(<b>a</b>) XRD patterns of MgAl/LDH and MgAl/LDO samples and (<b>b</b>) corresponding crystallite sizes before and after fluoride treatment, calculated using the Scherrer equation.</p>
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<p>FTIR spectra of MgAl/LDH and MgAl/LDO particles with ethanol before and after fluoride treatment.</p>
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<p>SEM and EDS analysis of the MgAl/LDH particles..</p>
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<p>SEM and EDS analysis of the MgAl/LDH sample after fluoride treatment.</p>
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<p>SEM and EDS analysis of the MgAl/LDO sample after fluoride treatment.</p>
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<p>SEM and EDS analysis of the MgAl/LDH sample with ethanol after fluoride treatment.</p>
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<p>SEM and EDS analysis of the MgAl/LDO sample with ethanol after fluoride treatment.</p>
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<p>Concentration of fluoride ions for MgAl/LDH and MgAl/LDO particles.</p>
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<p>Fluoride release for MgAl/LDH and MgAl/LDO particles and samples with ethanol.</p>
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9 pages, 2674 KiB  
Article
Impact of Solvent-Mediated Phase Transitions by Artificial Gastrointestinal Buffers on Efavirenz Polymorphs
by Yoga Windhu Wardhana, Eli Nuraisyah, Angga Prawira Kautsar, Patihul Husni, Arif Budiman and Anis Yohana Chaerunisaa
Crystals 2025, 15(1), 48; https://doi.org/10.3390/cryst15010048 - 2 Jan 2025
Viewed by 259
Abstract
The implications of various pH solutions in the gastrointestinal fluid system as solvent-mediated phase transitions on concurrent polymorphism transformation, notably metastable polymorphic forms of Efavirenz (EFV), has never been investigated. The impact will be shifting in the solubility and crystallinity of EFV polymorphisms, [...] Read more.
The implications of various pH solutions in the gastrointestinal fluid system as solvent-mediated phase transitions on concurrent polymorphism transformation, notably metastable polymorphic forms of Efavirenz (EFV), has never been investigated. The impact will be shifting in the solubility and crystallinity of EFV polymorphisms, particularly metastable Forms II and III. EFV’s metastable form is generated by recrystallization with n-hexane and methanol, which were all immersed in artificial digestion buffer solutions for 10 and 100 h, respectively. Form II showed a 9–13.2% increase in solubility, whereas Form III increased by 2–7.3% over Form I. Interestingly, Form II revealed decreased crystallinity, but Form III tended to retain or slightly increase. In acidic solutions, all metastable polymorphs had the highest solubility and crystallinity. Form III appears to have a lower impact on phase transitions owing to pH variations than Form II. These findings indicate that variability in the pH of digestive secretions are essential steps in developing successful pharmaceutical formulations. Finally, our findings provide information on the complex interaction between solvents, pH variations, and EFV polymorphs. The findings identified the importance of these factors in the development of successful pharmaceutical formulations. Full article
(This article belongs to the Section Organic Crystalline Materials)
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<p>Characteristics of EFV polymorphs by (<b>A</b>) thermogram DSC and (<b>B</b>) diffractogram of PXRD [<a href="#B22-crystals-15-00048" class="html-bibr">22</a>].</p>
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<p>Solubility of EFV polymorphs in various artificial GIT fluids.</p>
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<p>Changes (arrows indicate peak changes that occur) in the X-ray diffraction patterns of EFV metastable polymorphs (<b>a</b>) Form II, (<b>b</b>) Form III under soak at various artificial GIT fluids; A. Water in 10 h; B. Water in 100 h; C. Buffer pH 6.8 in 10 h; D. Buffer pH 6.8 in 100 h; E. Buffer pH 4.6 in 10 h; F. Buffer pH 4.6 in 100 h; G. Buffer pH 1.2 in 10 h; H. Buffer pH 1.2 in 100 h.</p>
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<p>Predicting the defensive mechanism of the crystal structural lattice of polymorphic modifications of EFV against hydrogen bonds using molecular model analysis (<b>A</b>) is molecule model for Form I, (<b>B</b>) is Form II, and (<b>C</b>) is Form III with different synthon) from CCDC (Cambridge Crystallographic Data Centre).</p>
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<p>Predicting of habit transition between polymorphs by ionic strength in water as solvent.</p>
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16 pages, 11979 KiB  
Article
Effects of Fe and Zn Additions on Microstructure and Mechanical Properties of Al–10Si–Mg Alloy
by Zengshuo Zhang, Pengfei Ren, Wenxue Fan, Zhuo Zhang, Wei Yu, Hai Hao, Yu Bai and Xianming Meng
Metals 2025, 15(1), 33; https://doi.org/10.3390/met15010033 - 2 Jan 2025
Viewed by 297
Abstract
Based on the idea of integrated computational materials Engineering (ICME), this research applies a digital integrated computing platform integrating ProCAST and MATLAB software. The effects of Fe and Zn contents on the microstructure and properties of die-casting Al–10Si–Mg alloy was investigated through numerical [...] Read more.
Based on the idea of integrated computational materials Engineering (ICME), this research applies a digital integrated computing platform integrating ProCAST and MATLAB software. The effects of Fe and Zn contents on the microstructure and properties of die-casting Al–10Si–Mg alloy was investigated through numerical simulation and experimental characterization. The results show that with Fe and Zn contents of 1.30 and 0.25 wt.%, respectively, the grain size and porosity of the die-cast parts are the smallest, and the yield strength and tensile strength are 203 MPa and 313 MPa, respectively. Compared with the addition of 0.14 wt.% Fe and 0.01 wt.% Zn, the increase was 16% and 15.5%, respectively. When the Fe content is higher than 1.30 wt.%, the size of the β-Al5FeSi phase in the alloy matrix increases. Moreover, as the Fe content increases, the morphology of the β-Al5FeSi transforms from elongated to a needle-like shape, which increases brittleness and reduces elongation, tensile strength, and yield strength. When 0.25 wt.% Zn is added, the segregation phenomenon of eutectic Si in the Al–10Si–Mg alloy is inhibited and the tensile strength and yield strength are improved. However, with the increase in Zn content to 0.95 wt.%, there is the coarsening of eutectic Si, resulting in a decreased elongation and decreased mechanical properties. The optimization method of the integrated computing platform greatly simplifies the computing cycle and improves work efficiency. Full article
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<p>Three-dimensional casting model import and mesh division.</p>
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<p>Integrated computing platform schematic and flow chart.</p>
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<p>Schematic representation of die casting Al–10Si–Mg. (<b>a</b>) Metal melting diagram, (<b>b</b>,<b>c</b>) Die casting process diagrams, (<b>d</b>) Dimensioning of die cast specimen and tensile specimens.</p>
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<p>Temperature field filling simulation results for Al–10Si–Mg–1.30Fe–0.25Zn.</p>
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<p>Porosity simulation results and microstructure simulation location.</p>
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<p>Phase diagram calculation results of Al–10Si–Mg. (<b>a</b>) Phase organization of A01, (<b>b</b>) Phase organization of A02, (<b>c</b>) Phase organization of A03, (<b>d</b>) Phase organization of A04.</p>
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<p>XRD pattern of Al–10Si–Mg alloy.</p>
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<p>Optical micrograph of Al–10Si–Mg alloy. (<b>a</b>) Optical micrograph of A01, (<b>b</b>) Optical micrograph of A02, (<b>c</b>) Optical micrograph of A03, (<b>d</b>) Optical micrograph of A04.</p>
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<p>SEM and EDS results of A01-A04 alloy. (<b>a</b>) SEM and EDS results of A01, (<b>b</b>) SEM and EDS results of A02, (<b>c</b>) SEM and EDS results of A03, (<b>d</b>) SEM and EDS results of A04.</p>
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<p>SEM results for Al–10Si–Mg. (<b>a</b>) A01, (<b>b</b>) A02, (<b>c</b>) A04.</p>
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<p>Nominal stress–strain curve of Al–10Si–Mg.</p>
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<p>Tensile fracture morphology of Al–10Si–Mg: (<b>a</b>) A01, (<b>b</b>) A02, (<b>c</b>) A03, (<b>d</b>) A04.</p>
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16 pages, 5891 KiB  
Article
Electromagnetic Wavefront Engineering by Switchable and Multifunctional Kirigami Metasurfaces
by Yingying Wang, Yang Shi, Liangwei Li, Zhiyan Zhu, Muhan Liu, Xiangyu Jin, Haodong Li, Guobang Jiang, Jizhai Cui, Shaojie Ma, Qiong He, Lei Zhou and Shulin Sun
Nanomaterials 2025, 15(1), 61; https://doi.org/10.3390/nano15010061 - 2 Jan 2025
Viewed by 360
Abstract
Developing switchable and multifunctional metasurfaces is essential for high-integration photonics. However, most previous studies encountered challenges such as limited degrees of freedom, simple tuning of predefined functionality, and complicated control systems. Here, we develop a general strategy to construct switchable and multifunctional metasurfaces. [...] Read more.
Developing switchable and multifunctional metasurfaces is essential for high-integration photonics. However, most previous studies encountered challenges such as limited degrees of freedom, simple tuning of predefined functionality, and complicated control systems. Here, we develop a general strategy to construct switchable and multifunctional metasurfaces. Two spin-modulated wave-controls are enabled by the proposed high-efficiency metasurface, which is designed using both resonant and geometric phases. Furthermore, the switchable wavefront tailoring can also be achieved by flexibly altering the lattice constant and reforming the phase retardation of the metasurfaces based on the “rotating square” (RS) kirigami technique. As a proof of concept, a kirigami metasurface is designed that successfully demonstrates dynamic controls of three-channel beam steering. In addition, another kirigami metasurface is built for realizing tri-channel complex wavefront engineering, including straight beam focusing, tilted beam focusing, and anomalous reflection. By altering the polarization of input waves as well as transformation states, the functionality of the metadevice can be switched flexibly among three different channels. Microwave experiments show good agreement with full-wave simulations, clearly demonstrating the performance of the metadevices. This strategy exhibits advantages such as flexible control, low cost, and multiple and switchable functionalities, providing a new pathway for achieving switchable wavefront engineering. Full article
(This article belongs to the Special Issue Nanophotonics and Plasmonics)
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Figure 1
<p>Schematics of the switchable gradient metasurface based on the RS kirigami technique. The adjacent meta-atoms of the kirigami metasurface undergo reverse rotations by the stretching force. During the transformation, the meta-atoms located in the black and gray panels will rotate clockwise (CW) and counter-clockwise (CCW), respectively. In this process, not only the local lattice constant of the meta-atoms is changed but also the global phase profile of the spin-flipped anomalous modes is reformed. By altering the transformation state of the kirigami metasurface, the achieved functionalities can be flexibly switched, e.g., dual-channels of two spin-modulated anomalous modes at β = 0° (<b>a</b>), tri-channels of two anomalous modes and one normal mode at β = 22.5° (<b>b</b>), and the single-channel response of only the normal mode at β = 45° (<b>c</b>). Here, β is utilized to characterize the transformation state of the metasurface, which is defined as the intersection angle between the bottom edge of meta-atoms and the x-axis.</p>
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<p>Design of high-efficiency composite-phase meta-atoms for the desired metasurface. (<b>a</b>) Schematic of the meta-atom array designed in the MIM configuration with a period of 8 <math display="inline"><semantics> <mrow> <mi mathvariant="normal">m</mi> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>. The thicknesses of the metal layer and dielectric film are 0.035 mm and 3 mm, respectively. The other parameters are listed as follows: r = 3 mm, w = 0.85 mm, and α = 120°. The opening angle α is a controllable parameter for adjusting the resonant phase of the meta-atoms. (<b>b</b>) Simulated and measured PCR and reflection phase spectra of the sample shown in (<b>a</b>) under the illumination of u-polarized and v-polarized EM waves, respectively. (<b>c</b>,<b>d</b>) Simulated resonant phase (<b>c</b>) and PCR (<b>d</b>) of the proposed meta-atom array as the functions of the opening angle α and frequency.</p>
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<p>Characterization of the switchable multiple-beam meta-reflector based on the RS kirigami technique. (<b>a</b>–<b>c</b>) Schematical illustrations and sample images of the metasurface in β = 0°, β = 22.5°, and β = 45° states under the illumination of LCP and RCP waves. (<b>d</b>–<b>f</b>) The reflection phase profiles of the kirigami metasurfaces in three states illuminated by the LCP and RCP waves at the frequency of 10 GHz. (<b>g</b>–<b>i</b>) Measured (symbols) and simulated (lines) normalized scattering field angular distributions of the kirigami metasurfaces in three states illuminated by LCP wave at 10 GHz. (<b>j</b>–<b>l</b>) Measured (symbols) and simulated (lines) normalized scattering field angular distributions of kirigami metasurfaces in three states illuminated by RCP wave at 10 GHz.</p>
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<p>Experimental verification of the broadband switchable multiple beam deflection by RS kirigami metasurface. (<b>a</b>–<b>d</b>) Measured normalized scattering field intensities with LCP (<math display="inline"><semantics> <mrow> <mo>|</mo> <mfenced open="" close="&#x27E9;" separators="|"> <mrow> <mo>+</mo> </mrow> </mfenced> <mo>)</mo> </mrow> </semantics></math> and RCP (<math display="inline"><semantics> <mrow> <mfenced open="|" separators="|"> <mrow> <mfenced open="" close="&#x27E9;" separators="|"> <mrow> <mo>−</mo> </mrow> </mfenced> </mrow> </mfenced> </mrow> </semantics></math> as the functions of working frequency and reflection angle for the kirigami metasurfaces in three states illuminated by normally incident LCP or RCP wave. Here, open stars represent the positions predicted by the generalized Snell’s law.</p>
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<p>Switchable and multifunctional complex wavefront engineering based on the RS kirigami technique. (<b>a</b>–<b>c</b>) Schematical illustrations and sample images of the kirigami metasurface in β = 0°, β = 22.5°, and β = 45° states under LCP and RCP wave illumination. (<b>d</b>–<b>f</b>) The reflection phase distributions <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="sans-serif">ϕ</mi> </mrow> <mrow> <mi mathvariant="normal">R</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>(</mo> <mi mathvariant="normal">x</mi> <mo>,</mo> <mi mathvariant="normal">y</mi> <mo>)</mo> </mrow> </semantics></math> of kirigami metasurfaces in three states illuminated by the RCP wave at the frequency of 10 GHz. (<b>g</b>–<b>i</b>) The reflection phase distributions <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="sans-serif">ϕ</mi> </mrow> <mrow> <mi mathvariant="normal">L</mi> <mi mathvariant="normal">L</mi> </mrow> </msub> <mo>(</mo> <mi mathvariant="normal">x</mi> <mo>,</mo> <mi mathvariant="normal">y</mi> <mo>)</mo> </mrow> </semantics></math> of kirigami metasurfaces in three states illuminated by the LCP wave at the frequency of 10 GHz.</p>
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<p>Characterization of the switchable and multifunctional complex wavefront engineering based on the RS kirigami technique. (<b>a</b>–<b>c</b>) Measured (symbols) and simulated (lines) normalized scattering field angular distributions with RCP of the kirigami metasurfaces in three states of β = 0°, β = 22.5°, and β = 45° illuminated by normally incident RCP wave. (<b>d</b>–<b>f</b>) Measured electric field distribution with LCP <math display="inline"><semantics> <mrow> <mo>(</mo> <msub> <mrow> <mi mathvariant="normal">E</mi> </mrow> <mrow> <mi mathvariant="normal">L</mi> <mi mathvariant="normal">C</mi> <mi mathvariant="normal">P</mi> </mrow> </msub> <mo>)</mo> </mrow> </semantics></math> in the XOZ plane for the kirigami metasurfaces in three states illuminated by normally incident LCP wave. (<b>g</b>–<b>i</b>) Measured electric field intensity distribution of the normal mode (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">E</mi> </mrow> <mrow> <mi mathvariant="normal">L</mi> <mi mathvariant="normal">C</mi> <mi mathvariant="normal">P</mi> </mrow> </msub> </mrow> </semantics></math> or <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">E</mi> </mrow> <mrow> <mi mathvariant="normal">R</mi> <mi mathvariant="normal">C</mi> <mi mathvariant="normal">P</mi> </mrow> </msub> <mo>)</mo> </mrow> </semantics></math> in the XOZ plane for the kirigami metasurfaces in three states illuminated by normally incident LCP or RCP wave. Here, the frequency is fixed at 10 GHz.</p>
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<p>Tunable beam focusing effect by RS kirigami metasurface. (<b>a</b>) Schematics of two beam focusing effects by RS kirigami metasurface illuminated by normally incident LCP wave. Here, the red and orange beams originate from the anomalous mode (focus 1) and normal mode (focus 2), respectively. (<b>b</b>) Focal position along the z direction of focus 1 as a function of β. (<b>c</b>,<b>d</b>) Focal position along both the z direction and x direction of focus 2 as a function of β, respectively. Here, the frequency is fixed at 10 GHz.</p>
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18 pages, 6596 KiB  
Article
Polysaccharides of Atractylodes Macrocephala Koidz Alleviate LPS-Induced Bursa of Fabricius Injury in Goslings by Inhibiting EREG Expression
by Shuying Gong, Bingqi Zhang, Xiang Sun, Weijun Liang, Longsheng Hong, Xiang Zhou, Wanyan Li, Yunbo Tian, Danning Xu, Zhongping Wu and Bingxin Li
Animals 2025, 15(1), 84; https://doi.org/10.3390/ani15010084 - 2 Jan 2025
Viewed by 235
Abstract
The bursa of Fabricius (BF) plays crucial roles in the goslings’ immune system. During waterfowl breeding, the presence of lipopolysaccharides (LPSs) in the environment can induce inflammatory damage in geese. Polysaccharides of Atractylodes macrocephala Koidz (PAMKs), as the main active component of the [...] Read more.
The bursa of Fabricius (BF) plays crucial roles in the goslings’ immune system. During waterfowl breeding, the presence of lipopolysaccharides (LPSs) in the environment can induce inflammatory damage in geese. Polysaccharides of Atractylodes macrocephala Koidz (PAMKs), as the main active component of the Chinese medicine Atractylodes macrocephala, have significant immune-enhancing effects. Accordingly, this study intended to investigate the effect of PAMKs on LPS-induced BF injury in goslings. Two hundred 1-day-old goslings (half male and half female) were selected and randomly divided into control, PAMK, LPS, and PAMK + LPS groups. The control and LPS groups were fed the basal diet, and the PAMK and PAMK + LPS groups were fed the basal diet containing PAMKs at 400 mg/kg. The goslings in the LPS and PAMK + LPS groups were injected intraperitoneally with LPS at a concentration of 2 mg/kg on days 24, 26, and 28 of this study. The control and PAMK groups were injected with equal amounts of saline. On the 28th day, 1 h after the LPS injection, the BF and serum were collected and analyzed for organ indices, cytokines, antioxidant indicators, and histological observations. Histological examination and HE staining demonstrated that the PAMK treatment ameliorated the LPS-induced BF atrophy, structural damage, increased cellular exudation, and reticulocyte hyperplasia in the goslings. The cytokine and antioxidant marker analyses in the BF cells demonstrated that the PAMK treatment mitigated the LPS-induced increase in the interleukin-1β (IL-1β), malondialdehyde (MDA), and inducible nitric oxide synthase (iNOS) levels, as well as the decrease in the transforming growth factor-β (TGF-β) and superoxide dismutase (SOD) activities. Further transcriptome sequencing identified a total of 373 differentially expressed genes (DEGs) between the LPS and PAMK + LPS groups. The KEGG enrichment pathway analysis showed that the DEGs were significantly enriched in the Toll-like receptor, p53, MAPK, GnRH, and ErbB signaling pathways. Among them, EREG played key roles in the activation of the MAPK, GnRH, and ErbB signaling pathways. Further research showed that the addition of PAMKs significantly inhibited the LPS-induced EREG expression, increased the cell viability, promoted the cell cycle entry into the S and G2 phases, and inhibited apoptosis. Meanwhile, PAMKs can reduce the protein expression of p-JNKs and c-FOS by inhibiting EREG. In summary, this study found that PAMKs could alleviate LPS-induced BF injury in goslings by inhibiting the expression of EREG. Full article
(This article belongs to the Section Animal Physiology)
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<p>Alleviation of LPS-induced decrease in the BF organ index and histological lesions in goslings by PAMKs. (<b>A</b>) Morphology observation of the BF; (<b>B</b>) goslings’ weight; (<b>C</b>) bursa weight; (<b>D</b>) histological observation of BF (200×, 400×); (<b>E</b>) Ratio of the cortical Area to the medullary Area of the BF vesicles; (<b>F</b>) organ index of the BF. Black arrows point to the cortical area of the BF tubercle, red arrows point to the medullary area of the BF tubercle, and blue arrows point to the area of reticulocyte proliferation. Data are expressed as the mean ± standard error, and data columns labeled with different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05), and the same letter indicates that the differences are not statistically significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Effect of PAMKs on LPS-induced immunoglobulins and cytokines. (<b>A</b>) Serum levels of IgA, IgG, and IgM; (<b>B</b>) cytokine expression levels of TNF-α, IL-1β, IL-6, and TGF-β. Data are expressed as the mean ± standard error, and data columns labeled with different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05), and the same letter indicates that the differences are not statistically significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Effect of PAMKs on the LPS-induced antioxidant indexes. The levels of (<b>A</b>) T-AOC, (<b>B</b>) SOD, (<b>C</b>) MDA, (<b>D</b>) Inos, and (<b>E</b>) GSH-Px. Data are expressed as the mean ± standard error, and data columns labeled with different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05), and the same letter indicates that the differences are not statistically significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Map of DEGs in the BFs of the goslings from the LPS and PAMK + LPS groups. (<b>A</b>) PAMK + LPS vs. LPS DEGs volcano map. (<b>B</b>) Heat map. (<b>C</b>) GO histogram of the PAMK + LPS vs. LPS DEGs showing 40 significantly enriched GO terms. Horizontal coordinates indicate −log10 (<span class="html-italic">p</span>-value) and vertical coordinates indicate enriched GO terms. (<b>D</b>) KEGG bubble plot of the PAMK + LPS vs. LPS DEGs showing significantly enriched 15 pathways. Horizontal coordinates indicate <span class="html-italic">p</span>-value and vertical coordinates indicate enriched KEGG pathways.</p>
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<p>Identification and validation of the key DEGs. (<b>A</b>) Interaction map of the DEGs protein network. The sizes of the circles show the intensities of the data support, with red for PAMK + LPS vs. LPS upregulated genes and green for PAMK + LPS vs. LPS downregulated genes. (<b>B</b>) Results of qRT-PCR and RNA-Seq detection of two groups of DEGs. The log2 of the fold change is expressed as the mean value. (<b>C</b>) Verification of key genes in the EREG signaling pathway. Data are expressed as the mean ± standard error, and data columns labeled with different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05), and the same letter indicates that the differences are not statistically significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>The impact of PAMKs on the cell apoptosis and cell cycle in LPS-induced injury to gosling BF cells. The effect of PAMKs on key genes of LPS-induced BF cell injury. (<b>A</b>) Cell apoptosis; (<b>B</b>) quantitative plots of the cell apoptosis and quantitative plots of the cell cycle; (<b>C</b>) cell cycle; (<b>D</b>) relative protein expressions of EREG, c-FOS, RAS, JNKs, and p-JNKs; (<b>E</b>) protein levels of EREG, RAS, c-FOS, JNKs, and p-JNKs. Data are expressed as the mean ± standard error, and data columns labeled with different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05), and the same letter indicates that the differences are not statistically significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Diagram of the EREG and MAPK signaling pathways. Red arrows denote inhibition, green arrows denote promotion, solid lines represent direct interactions, and dashed lines represent indirect interactions.</p>
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