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10 pages, 6059 KiB  
Article
Mg-Doped Li2FeTiO4 as a High-Performance Cathode Material Enabling Fast and Stable Li-ion Storage
by Pengqing Hou, Yingdong Qu, Rui Huang, Xinru Tian, Guanglong Li and Shaohua Luo
Inorganics 2025, 13(3), 76; https://doi.org/10.3390/inorganics13030076 - 6 Mar 2025
Abstract
As a multi-electron system material, the excellent capacity and environmentally benign properties of Li2FeTiO4 cathodes make them attractive for lithium-ion batteries. Nevertheless, their electrochemical performance has been hampered by poor conductivity and limited ion transport. In this work, the synthesis [...] Read more.
As a multi-electron system material, the excellent capacity and environmentally benign properties of Li2FeTiO4 cathodes make them attractive for lithium-ion batteries. Nevertheless, their electrochemical performance has been hampered by poor conductivity and limited ion transport. In this work, the synthesis of Mg-doped Li2MgxFe1−xTiO4 (LiFT-Mgx, x = 0, 0.01, 0.03, 0.05) cathode materials was successfully achieved. We observed significant gains in interlayer spacing, ionic conductivity, and kinetics. Hence, the sample of the LiFT-Mg0.03 cathode demonstrated charming initial capacity (112.1 mAh g−1, 0.05 C), stability (85.0%, 30 cycles), and rate capability (96.5 mAh g−1, 85.9%). This research provided precious insights into lithium storage with exceptional long-term stability and has the potential to drive the development of next-generation energy storage technologies. Full article
(This article belongs to the Special Issue Novel Research on Electrochemical Energy Storage Materials)
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Figure 1

Figure 1
<p>SEM images of: (<b>a</b>) LiFT; (<b>b</b>) LiFT-Mg0.01; (<b>c</b>) LiFT-Mg0.03; (<b>d</b>) LiFT-Mg0.05; (<b>e</b>) element mapping of LiFT-Mg0.03.</p>
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<p>(<b>a</b>) XRD images of different samples; (<b>b</b>) enlarged images of different samples.</p>
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<p>FTIR of LiFT-Mg0.03 at dry gel, pre-fired sample and the cathode material.</p>
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<p>TG-DSC of LiFT-Mg0.03 at dry gel.</p>
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<p>Normalized XAS spectra of: (<b>a</b>) Fe K-edge and (<b>b</b>) Ti K-edge of LiFT and LiFT-Mg0.03 samples.</p>
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<p>Charge/discharge curves of: (<b>a</b>) LiFT; (<b>b</b>) LiFT-Mg0.01; (<b>c</b>) LiFT-Mg0.03; and (<b>d</b>) LiFT-Mg0.05.</p>
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<p>(<b>a</b>) Cycle performance; (<b>b</b>) rate performance of LiFT, LiFT-Mg0.01, LiFT-Mg0.03, and LiFT-Mg0.05 samples; charge–discharge profiles of (<b>c</b>) LiFT and (<b>d</b>) LiFT-Mg0.03 samples at varied current densities.</p>
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<p>EIS of LiFT, LiFT-Mg0.01, LiFT-Mg0.03, and LiFT-Mg0.05 samples.</p>
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<p>(<b>a</b>) Cycle performance at 2.0 C; (<b>b</b>,<b>c</b>) SEM and XRD of LiFT-Mg0.03 after 200 cycles.</p>
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<p>CV curves of LiFT−Mg0.03 material.</p>
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12 pages, 2627 KiB  
Article
Effects of Li Salt and Additive Content on the Electrochemical Performance of [C4C1mim]-Based Ionic Liquid Electrolytes
by Yayun Zheng, Wenbin Zhou, Kui Cheng and Zhengfei Chen
AppliedChem 2025, 5(1), 6; https://doi.org/10.3390/appliedchem5010006 - 6 Mar 2025
Abstract
Ionic liquids based on imidazolium cations have attracted attention due to their high safety and exceptional ionic conductivity. However, imidazole-based ionic liquids exhibit poor electrochemical stability due to the strong reactivity of hydrogen atoms at the C-2 position of imidazole cations. In this [...] Read more.
Ionic liquids based on imidazolium cations have attracted attention due to their high safety and exceptional ionic conductivity. However, imidazole-based ionic liquids exhibit poor electrochemical stability due to the strong reactivity of hydrogen atoms at the C-2 position of imidazole cations. In this work, an ionic liquid 1-butyl-2,3-dimethylimidazolium bis(trifluoromethanesulfonyl)imide ([C4C1mim][TFSA]), characterized by a methyl-substituted C-2 position and a butyl chain, was investigated in various Li+ environments created by different lithium salt concentrations and fluoroethylene carbonate (FEC) additives. Both optimal Li+ concentrations and the addition of reasonable FEC enable the improvement of ionic conductivity to 3.32 mS cm−1 at 25 °C and a maximum electrochemical window of 5.21 V. The ionic liquid electrolyte Li[TFSA]-[C4C1mim][TFSA] at a molar ratio of 2:8 with 5 wt% FEC addition demonstrates excellent thermal stability. The corresponding Li/LiFePO4 cell exhibits a mitigated polarization growth (increasing from 0.12 V to 0.25 V over 10 cycles) with a high initial discharge capacity of 169.3 mAh g−1. Full article
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Figure 1
<p>The basic structure: (<b>a</b>) Structure of 1-butyl-2,3-dimethylimidazolium ([C<sub>4</sub>C<sub>1</sub>mim]<sup>+</sup>) cation. (<b>b</b>) Structure of bis(trifluoromethanesulfonyl)imide ([TFSA]<sup>−</sup>) anion.</p>
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<p>Thermogravimetric curves (<b>a</b>) and DSC curves (<b>b</b>) of IL2:8 and IL2:8+5% electrolytes under N<sub>2</sub>.</p>
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<p>FTIR spectra obtained for the pure IL [C<sub>4</sub>C<sub>1</sub>mim][TFSA], IL2:8 composed of Li[TFSA]-[C<sub>4</sub>C<sub>1</sub>mim][TFSA], and IL2:8+5% electrolytes.</p>
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<p>(<b>a</b>) Nyquist plots of [C<sub>4</sub>C<sub>1</sub>mim]-based IL electrolytes in different Li<sup>+</sup> environments. (<b>b</b>) The calculated ionic conductivities of these IL electrolytes at 25 °C based on (<b>a</b>).</p>
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<p>LSV curves: (<b>a</b>) [C<sub>4</sub>C<sub>1</sub>mim]-based IL electrolytes with different Li<sup>+</sup> environments between 2.5 and 6.5 V. (<b>b</b>) Correspond to enlarged views of the box selection areas in (<b>a</b>).</p>
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<p>Charge–discharge curves (i), along with the corresponding capacity and Coulombic efficiency as a function of cycle number (ii): (<b>a</b>) Li/LiFePO<sub>4</sub> with IL2:8 electrolyte, and (<b>b</b>) Li/LiFePO<sub>4</sub> with IL3:7 electrolyte.</p>
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<p>Charge–discharge curves (i), along with the corresponding capacity and Coulombic efficiency as a function of cycle number (ii): (<b>a</b>) Li/LiFePO<sub>4</sub> with IL2:8+3% electrolyte, (<b>b</b>) Li/LiFePO<sub>4</sub> with IL2:8+5% electrolyte, and (<b>c</b>) Li/LiFePO<sub>4</sub> with IL2:8+9% electrolyte.</p>
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15 pages, 4208 KiB  
Article
Tuning the Mesopore Structure of Polyethylene Glycol Terephthalate (PET)-Derived Hard Carbon for High-Capacity Sodium-Ion Batteries
by Chupeng Wang, Mingsheng Luo, Shiqi Song, Maochong Tang, Xiaoxia Wang and Hui Liu
Materials 2025, 18(5), 1166; https://doi.org/10.3390/ma18051166 - 5 Mar 2025
Viewed by 190
Abstract
Hard carbon (HC) is considered to be a highly promising anode material for sodium-ion batteries. However, the synthesis conditions and pore structure regulation are still challenging for high-capacity sodium-ion storage. In this study, HCs using polyethylene glycol terephthalate (PET) as a carbon resource [...] Read more.
Hard carbon (HC) is considered to be a highly promising anode material for sodium-ion batteries. However, the synthesis conditions and pore structure regulation are still challenging for high-capacity sodium-ion storage. In this study, HCs using polyethylene glycol terephthalate (PET) as a carbon resource and ZnO as a nanopore template were synthesized and systematically investigated. By optimizing the additive amount of zinc gluconate, the starting material for ZnO, PET-derived HCs with a proper mesoporous structure were obtained. The as-prepared hard carbon demonstrated a high reversible capacity of 389.42 mAh·g−1 at 20 mA·g−1, with the plateau capacity accounting for 68%. After 75 cycles, the discharge capacity stabilized at 367.73 mAh·g−1 with a retention ratio of 89.4%. The rate performance test indicated that a proper mesopore structure helped to improve the sodium-ion diffusion coefficient, effectively enhancing the charge–storage kinetics. This work provides a promising strategy for converting PET into valuable carbon materials for application in the field of renewable energy technology. Full article
(This article belongs to the Special Issue Electrode Materials for Advanced Rechargeable Batteries)
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Graphical abstract
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<p>Schematic diagram of hard-carbon preparation using co-pyrolysis of PET and zinc gluconate.</p>
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<p>(<b>a</b>) Infrared analysis of the pyrolysis products from the mixture of PET and zinc gluconate with a mass ratio of 32:1. (<b>b</b>) XRD patterns, (<b>c</b>) survey XPS spectra, (<b>d</b>) Raman spectra, (<b>e</b>) N<sub>2</sub> adsorption and desorption isotherms, and (<b>f</b>) BJH pore-size distribution of HC1400 and ZGHCx.</p>
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<p>SEM photograph of HC1400 and ZGHCx: (<b>a</b>) HC1400; (<b>b</b>) ZGHC50; (<b>c</b>) ZGHC32; (<b>d</b>) ZGHC16. TEM photograph of HC1400 and ZGHC32: (<b>e</b>) HC1400; (<b>f</b>) ZGHC32. The red box in (<b>e</b>,<b>f</b>) represents closed pore and the white box means graphitic domain.</p>
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<p>(<b>a</b>) The first charge/discharge profiles of HC1400 and ZGHCx. (<b>b</b>) The initial coulomb efficiency of the samples. (<b>c</b>) The plateau and sloping capacity distribution of different samples. (<b>d</b>) Relationship between slope capacity and I<sub>D</sub>/I<sub>G</sub>. (<b>e</b>) Long cycle performance and (<b>f</b>) rate performance of HC1400 and ZGHCx.</p>
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<p>(<b>a</b>–<b>c</b>) TEM images at different magnifications of ZGHC32 after 75 cycles. The red dashed circle in (<b>a</b>) represent Super P and the blue dashed line means hard carbon. The white dashed line in (<b>c</b>) means graphitic domain and the red dashed line indicates closed pore.</p>
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<p>(<b>a</b>) CV curves of HC1400 and ZGHCx at a scan rate of 0.1 mV s<sup>−1</sup>. (<b>b</b>) Capacitance contribution and diffusion contribution at a scan rate of 0.1 mV s<sup>−1</sup>. (<b>c</b>,<b>d</b>) Sodium-ion diffusion coefficients of discharge and charge processes for HC1400 and ZGHCx.</p>
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29 pages, 13513 KiB  
Article
A Physical-Based Electro-Thermal Model for a Prismatic LFP Lithium-Ion Cell Thermal Analysis
by Alberto Broatch, Pablo Olmeda, Xandra Margot and Luca Agizza
Energies 2025, 18(5), 1281; https://doi.org/10.3390/en18051281 - 5 Mar 2025
Viewed by 116
Abstract
This article presents an electro-thermal model of a prismatic lithium-ion cell, integrating physics-based models for capacity and resistance estimation. A 100 Ah prismatic cell with LFP-based chemistry was selected for analysis. A comprehensive experimental campaign was conducted to determine electrical parameters and assess [...] Read more.
This article presents an electro-thermal model of a prismatic lithium-ion cell, integrating physics-based models for capacity and resistance estimation. A 100 Ah prismatic cell with LFP-based chemistry was selected for analysis. A comprehensive experimental campaign was conducted to determine electrical parameters and assess their dependencies on temperature and C-rate. Capacity tests were conducted to characterize the cell’s capacity, while an OCV test was used to evaluate its open circuit voltage. Additionally, Hybrid Pulse Power Characterization tests were performed to determine the cell’s internal resistive-capacitive parameters. To describe the temperature dependence of the cell’s capacity, a physics-based Galushkin model is proposed. An Arrhenius model is used to represent the temperature dependence of resistances. The integration of physics-based models significantly reduces the required test matrix for model calibration, as temperature-dependent behavior is effectively predicted. The electrical response is represented using a first-order equivalent circuit model, while thermal behavior is described through a nodal network thermal model. Model validation was conducted under real driving emissions cycles at various temperatures, achieving a root mean square error below 1% in all cases. Furthermore, a comparative study of different cell cooling strategies is presented to identify the most effective approach for temperature control during ultra-fast charging. The results show that side cooling achieves a 36% lower temperature at the end of the charging process compared to base cooling. Full article
(This article belongs to the Section J: Thermal Management)
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Figure 1
<p>Test bench used for experimental activities.</p>
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<p>Structure of the electro-thermal model.</p>
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<p>First order equivalent circuit model.</p>
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<p>Nodal thermal model.</p>
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<p>Capacity characterization campaign at 20 °C.</p>
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<p>Capacity test results.</p>
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<p>Capacity values extrapolated by using the Galushkin model.</p>
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<p>Agreement between measurement and extrapolation model.</p>
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<p>OCV test procedure.</p>
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<p>OCV dependency on temperature.</p>
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<p>HPPC test protocol.</p>
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<p>Pulse train.</p>
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<p>Stepwise procedure for electrical parameter identification.</p>
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<p>Ohmic resistance (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">R</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math>) during charge and discharge from the HPPC test at 0, 10, and 20 °C.</p>
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<p>Charge transfer resistance (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">R</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>) during charge and discharge from the HPPC test at 0, 10, and 20 °C.</p>
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<p>Double layer capacitance (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">C</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>) during charge and discharge from the HPPC test 0, 10, and 20 °C.</p>
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<p>Ohmic resistance (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">R</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math>) extrapolated with physical Arrhenius extrapolation model.</p>
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<p>Charge transfer resistance (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">R</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>) extrapolated with physical Arrhenius extrapolation model.</p>
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<p>Agreement between Arrhenius extrapolation model and measurement results. (<b>a</b>) R0 discharge at 1C SOC 1, (<b>b</b>) R0 charge at 1C SOC 1, (<b>c</b>) R0 discharge at 1C SOC 0.5, (<b>d</b>) R0 charge at 1C SOC 0.5, (<b>e</b>) R0 discharge at 1C SOC 0, (<b>f</b>) R0 charge at 1C SOC 0.</p>
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<p>Schematic of the internal structure of the jellyroll of the cell.</p>
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<p>In-house RDEs power and current profiles.</p>
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<p>Agreement of the electro-thermal model with the experimental measurements.</p>
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<p>Validation at 0 °C and 35 °C.</p>
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<p>Results of different cooling strategies. (<b>a</b>) from side B, (<b>b</b>) from the base, (<b>c</b>) form side A.</p>
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10 pages, 3025 KiB  
Article
Chloride Ions Tuning Organic Alkaline Electrolyte for Optimizing MnO2 Cathodes in Aqueous Sodium Batteries
by Xiangchen Zhang, Wenyuan Bao, Hongwei Cai, Ruixi Chen, Kai Fu and Wen Luo
Coatings 2025, 15(3), 298; https://doi.org/10.3390/coatings15030298 - 4 Mar 2025
Viewed by 83
Abstract
The growing demand for efficient energy storage solutions has highlighted the potential of aqueous sodium-ion (Na+) batteries, known for their cost-effectiveness and environmental benefits. Despite their promise, challenges such as low specific capacities resulting from proton (H⁺) intercalation issues have limited [...] Read more.
The growing demand for efficient energy storage solutions has highlighted the potential of aqueous sodium-ion (Na+) batteries, known for their cost-effectiveness and environmental benefits. Despite their promise, challenges such as low specific capacities resulting from proton (H⁺) intercalation issues have limited their effectiveness. This study introduces a novel alkaline electrolyte environment using tetrabutylammonium hydroxide (TBAH) combined with chloride ions (Cl) to improve the Na+ storage performance of manganese oxide (MnO2) cathodes. The optimized electrolyte achieved a remarkable reversible capacity of 101 mAh g−1 for γ-MnO2 at a current density of 0.1 A g−1, surpassing conventional aqueous solutions. The synergistic effect of TBAH and Cl not only suppresses H+ intercalation, but also prevents the formation of manganese hydroxide passivation layers during cycling. These advancements contribute to a better understanding of electrolyte design for high-performance Na+ storage electrodes, marking a significant step forward in aqueous sodium-ion battery technology. Full article
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<p>(<b>a</b>) The XRD pattern of the as-prepared <span class="html-italic">γ</span>-MnO<sub>2</sub> powders. (<b>b</b>) An SEM image of the <span class="html-italic">γ</span>-MnO<sub>2</sub> powders. (<b>c</b>) A TEM image of the <span class="html-italic">γ</span>-MnO<sub>2</sub> powders. (<b>d</b>) The Raman spectrum of the <span class="html-italic">γ</span>-MnO<sub>2</sub> cathode materials.</p>
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<p>(<b>a</b>) The charge/discharge curves of the <span class="html-italic">γ</span>-MnO<sub>2</sub> cathode in a half battery tested in different aqueous electrolyte systems at a current density of 0.1 A g<sup>−1</sup>. (<b>b</b>) The charge/discharge curves of the <span class="html-italic">γ</span>-MnO<sub>2</sub> cathode in the TBAH+NaCl aqueous electrolyte at different current densities. (<b>c</b>) The cycle stability of the <span class="html-italic">γ</span>-MnO<sub>2</sub> cathode in the TBAH+NaCl, NaOH, and TBAH+Na<sub>2</sub>SO<sub>4</sub> aqueous electrolytes at a current density of 0.5 A g<sup>−1</sup>.</p>
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<p>(<b>a</b>) A TEM image of the <span class="html-italic">γ</span>-MnO<sub>2</sub> cathode after 100 cycles in the NaCl+TBAH electrolyte. (<b>b</b>) A TEM image of the <span class="html-italic">γ</span>-MnO<sub>2</sub> cathode after 100 cycles in the Na<sub>2</sub>SO<sub>4</sub>+TBAH electrolyte. (<b>c</b>) The Raman spectrum of the <span class="html-italic">γ</span>-MnO<sub>2</sub> cathode after 100 cycles in the NaCl+TBAH electrolyte. (<b>d</b>) The Raman spectrum of the <span class="html-italic">γ</span>-MnO<sub>2</sub> cathode after 100 cycles in the Na<sub>2</sub>SO<sub>4</sub>+TBAH electrolyte.</p>
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<p>(<b>a</b>) The TOF-SIMS depth profiles of the Na, Mn, and H signals in the cycled cathode. (<b>b</b>) 3D reconstructions of the Na, Mn, and H signal distributions in the cycled cathode.</p>
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<p>A scheme of the mechanism for the improved performance of manganese oxide electrodes in chloride ion-tuned aqueous alkaline electrolytes.</p>
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14 pages, 2120 KiB  
Article
Design and Validation of Anode-Free Sodium-Ion Pouch Cells Employing Prussian White Cathodes
by Ashley Willow, Marcin Orzech, Sajad Kiani, Nathan Reynolds, Matthew Houchell, Olutimilehin Omisore, Zari Tehrani and Serena Margadonna
Batteries 2025, 11(3), 97; https://doi.org/10.3390/batteries11030097 - 4 Mar 2025
Viewed by 145
Abstract
This study investigated the impact of pouch cell design on energy density, both volumetric and gravimetric, through the development of accurate 3D models of small-format (<5 Ah) pouch cells. Various configurations were analysed, considering material properties and extrapolating expected electrochemical performance from studies [...] Read more.
This study investigated the impact of pouch cell design on energy density, both volumetric and gravimetric, through the development of accurate 3D models of small-format (<5 Ah) pouch cells. Various configurations were analysed, considering material properties and extrapolating expected electrochemical performance from studies on Prussian white cathodes in coin and pouch cells. This approach allowed for a rapid assessment of several performance-influencing factors, including the number of layers in the pouch cell, cathode thickness, active material percentage, and electrolyte volume. The highest calculated energy density of small-format pouch cells was shown to be 282 Wh kg−1 and 454 Wh L−1, achieved in a 3 Ah, 20-layer pouch cell. The calculations were validated using sodium-ion anode-free pouch cells utilising a Prussian white cathode in single- and few-layer format pouch cells (<0.1 Ah) cycled under a low external pressure (~200 kPa). Full article
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Figure 1
<p>Table of pouch cell components and component parameters and illustration of the pouch cell design modelled in Solidworks 2024.</p>
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<p>Capacity and coulombic efficiency vs. cycle number for 1-, 2-, and 3-layer pouch cells cycled at 0.5C. Prussian white cathode (80% active material) vs. Super-P-coated aluminium. Inset, actual Wh/kg values achieved based on first cycle capacity, nominal voltage, and cell weight (blue stars), compared to modelled cells under the same manufacturing conditions and extrapolated to 20 layers.</p>
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<p>Predicted gravimetric and volumetric energy densities of a sodium-ion anode-free pouch cell based on a Prussian white cathode and an aluminium negative electrode. The energy density is given as a function of the electrolyte volume and number of cell layers.</p>
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<p>Predicted anode-free pouch cell energy density as a function of the number of layers and active material percentage.</p>
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<p>Predicted 20-layer anode-free pouch cell energy density as a function of the specific capacity and cathode coating thickness.</p>
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13 pages, 4634 KiB  
Article
Transforming Waste into Valuable Resources: Mo2C Nanoparticles Modified Waste Pinecone-Derived Carbon as an Effective Sulfur Host for Lithium–Sulfur Batteries
by Zhe Yang, Yicheng Han, Kai Chen, Guodong Zhang and Shuangxi Xing
Materials 2025, 18(5), 1141; https://doi.org/10.3390/ma18051141 - 4 Mar 2025
Viewed by 201
Abstract
In this paper, the natural waste pinecone as a carbon precursor for the generation of satisfactory sulfur host materials in lithium–sulfur batteries was realized by introducing molybdenum carbide nanoparticles into the derived carbon structure. The conductive pinecone-derived carbon doped with N, O reveals [...] Read more.
In this paper, the natural waste pinecone as a carbon precursor for the generation of satisfactory sulfur host materials in lithium–sulfur batteries was realized by introducing molybdenum carbide nanoparticles into the derived carbon structure. The conductive pinecone-derived carbon doped with N, O reveals an expansive specific surface area, facilitating the accommodation of a higher sulfur load. Moreover, the integration of Mo2C nanoparticles also significantly enhances its chemical affinity and catalytic capacity for polysulfides (LiPSs) to alleviate the shuttle effect and accelerate sulfur redox conversion. As a result, the WPC-Mo2C/S electrode displays excellent electrochemical performance, including a low capacity decay rate of 0.074% per cycle during 600 cycles at 1 C and an outstanding rate capacity (631.2 mAh g−1 at 3 C). Moreover, with a high sulfur loading of 5.5 mg cm−2, the WPC-Mo2C/S electrode shows a high area capacity of 5.1 mAh cm−2 after 60 cycles at 0.2 C. Full article
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Graphical abstract

Graphical abstract
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<p>(<b>a</b>) SEM image of WPC-Mo<sub>2</sub>C; (<b>b</b>) TEM image of WPC-Mo<sub>2</sub>C; (<b>c</b>,<b>d</b>) HRTEM image of WPC-Mo<sub>2</sub>C; (<b>e</b>) EDS mapping with corresponding elements of Mo, C, O, and N of WPC-Mo<sub>2</sub>C.</p>
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<p>(<b>a</b>) XRD patterns of WPC-Mo<sub>2</sub>C and WPC; (<b>b</b>) Raman spectra of WPC-Mo<sub>2</sub>C and WPC; (<b>c</b>) C 1s, (<b>d</b>) N 1s, and (<b>e</b>) Mo 3d XPS spectra of WPC-Mo<sub>2</sub>C; (<b>f</b>) TGA curves of WPC-Mo<sub>2</sub>C/S and WPC/S.</p>
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<p>(<b>a</b>) Visual adsorption tests and (<b>b</b>) the corresponding UV–vis spectra of WPC-Mo<sub>2</sub>C-Li<sub>2</sub>S<sub>6</sub>, WPC-Li<sub>2</sub>S<sub>6,</sub> and pure Li<sub>2</sub>S<sub>6</sub>. (<b>c</b>) Precipitation profiles of Li<sub>2</sub>S at 2.05 V with WPC-Mo<sub>2</sub>C and WPC (<b>d</b>). (<b>e</b>) Dissolution profiles of Li<sub>2</sub>S at 2.30 V with WPC-Mo<sub>2</sub>C and WPC (<b>f</b>).</p>
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<p>(<b>a</b>) CV curves of WPC-Mo<sub>2</sub>C and WPC at a scan rate of 0.1 mV s<sup>−1</sup>; an enlarged section of peak A and peak C of WPC-Mo<sub>2</sub>C (<b>b</b>) and WPC (<b>c</b>) and the corresponding Tafel plot (inset); (<b>d</b>) CV curves of symmetric cells at a scan rate of 50 mV s<sup>−1</sup>; (<b>e</b>) GITT profile of WPC-Mo<sub>2</sub>C and (<b>f</b>) the corresponding potential difference in quasi open-circuit voltage and closed-circuit voltage at the Li<sub>2</sub>S nucleation and Li<sub>2</sub>S activation points of WPC-Mo<sub>2</sub>C and WPC; (<b>g</b>) CV curves of WPC-Mo<sub>2</sub>C at a scan rate of 0.1–0.5 mV s<sup>−1</sup>; (<b>h</b>) the linear fits of the peak currents of WPC-Mo<sub>2</sub>C and WPC and (<b>i</b>) the corresponding Li<sup>+</sup> diffusion coefficients at different peaks.</p>
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<p>Electrochemical performance of WPC-Mo<sub>2</sub>C and WPC electrodes: (<b>a</b>) discharge and charge curves for the first cycle at 0.2 C; (<b>b</b>) ΔE and Q<sub>2</sub>/Q<sub>1</sub> ratios from charge/discharge curves at 0.2 C; (<b>c</b>) cycling performance at 0.2 C; (<b>d</b>) rate performance at 0.2–3 C and (<b>e</b>) the corresponding charge/discharge curves at 0.2–3 C; (<b>f</b>) EIS profiles; (<b>g</b>) corresponding potential difference in quasi open-circuit voltage and closed-circuit voltage at the Li<sub>2</sub>S nucleation and Li<sub>2</sub>S activation points of WPC-Mo<sub>2</sub>C and WPC; (<b>g</b>) cycling performance at 0.2 C with a high sulfur loading; (<b>h</b>) cycling performance at 1 C.</p>
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<p>Illustration of the synthetic process of WPC-Mo<sub>2</sub>C.</p>
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17 pages, 5075 KiB  
Article
Insight into the Role of the Aryl Hydrocarbon Receptor in Bovine Coronavirus Infection by an Integrated Approach Combining In Vitro and In Silico Methods
by Luca Del Sorbo, Clementina Acconcia, Maria Michela Salvatore, Giovanna Fusco, Violetta Vasinioti, Maria Stella Lucente, Liqian Zhu, Annamaria Pratelli, Luigi Russo, Anna Andolfi, Rosa Iacovino and Filomena Fiorito
Microorganisms 2025, 13(3), 579; https://doi.org/10.3390/microorganisms13030579 - 4 Mar 2025
Viewed by 207
Abstract
It is well known that the host response to different human and animal coronaviruses infection is regulated by the aryl hydrocarbon receptor, a ligand-activated transcription factor. The present study investigates the expression of the aryl hydrocarbon receptor during bovine coronavirus infection, through in [...] Read more.
It is well known that the host response to different human and animal coronaviruses infection is regulated by the aryl hydrocarbon receptor, a ligand-activated transcription factor. The present study investigates the expression of the aryl hydrocarbon receptor during bovine coronavirus infection, through in vitro and in silico investigations. The in vitro studies demonstrate that the aryl hydrocarbon receptor and as well as its targets, CYP1A1 and CYP1B1, were significantly activated by bovine coronavirus infection in bovine cells (MDBK). During infection, the pretreatment of cells with non-cytotoxic doses of CH223191, a selective inhibitor of the aryl hydrocarbon receptor, resulted in a significant reduction in virus yield and a downregulation in the viral spike protein expression. These findings occurred in the presence of the inhibition of aryl hydrocarbon receptor signaling. Our results reveal that the bovine coronavirus acts on viral replication, upregulating the aryl hydrocarbon receptor and its downstream target proteins, CYP1A1 and CYP1B1. In addition, following the in silico studies, the three-dimensional structural model of the bovine aryl hydrocarbon receptor in complex with the antagonist CH223191 indicates that the molecular mechanism, by which the PASB and TAD domains of the receptor interact with the inhibitor, is mainly driven by an extensive network of hydrophobic interactions, with a series of hydrogen bonds contributing to stabilizing the complex. Interestingly, bioinformatic analyses revealed that the PASB and TAD domains in the human and bovine aryl hydrocarbon receptor present high similarity at the primary sequence and three-dimensional structure levels. Taken together, these findings represent a fundamental step for the development of innovative drugs targeting AhR as a potential object for CoVs therapy. Full article
(This article belongs to the Special Issue Viral Diseases: Current Research and Future Directions)
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<p>Chemical structure of the AhR inhibitor CH223191.</p>
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<p>The AhR inhibitor CH223191 at the concentration of 2 µM induces no significant (<span class="html-italic">p</span> &gt; 0.5) differences in MDBK cell viability after 24 h of pretreatment. (<b>A</b>) Microscopic MDBK cells treated with DMSO or with CH223191 at different concentrations and stained with TB while cells were attached to wells. Scale bar 100 µm. (<b>B</b>). Identification of the IC<sub>50</sub> of CH223191 inhibitor by using different concentrations (2, 5, 10, and 20 μM) and development of dose–response curve in MDBK cells after 24 h of pretreatment. Cell viability was assessed by TB staining and scored by an automated cell counter. Significant differences between DMSO and CH223191-treated cells are indicated by probability <span class="html-italic">p</span>. ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>AhR inhibitor CH223191 increases cell viability during BCoV infection. (<b>A</b>) MDBK cells pretreated or not with CH223191 at 2 µM and infected with BCoV. At 24 h p.i., cells were stained with TB while cells were attached to wells and observed under a light microscope. Scale bar = 100 µm. (<b>B</b>) Dose–response curve of MDBK cells pretreated with CH223191 at 2 μM and infected with BCoV. After 24 h of infection, cell viability was determined by TB staining and scored by automated cell counter. Significant differences between BCoV+DMSO and BCoV+CH223191-treated cells are indicated by probability <span class="html-italic">p</span>. *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>AhR inhibitor CH223191 reduced morphological signs of cell death during BCoV infection in MDBK cells. Cells pretreated or not with CH223191 were infected with BCoV. At 24 h p.i., cells were stained with (<b>A</b>) Giemsa and analyzed under a light microscope. Morphological features of cell death, such as cellular shrinkage (arrowhead) and pyknosis and chromatin condensation (arrow) were mainly reduced in the CH223191-treated infected groups. (<b>B</b>) In AO/PI panels, PI fluorescent cells, indicating dead and/or dying cells, were mainly detected in BCoV-infected cells compared to CH213191-treated infected cells. Scale bar 100 µm. The results of one experiment representative of three independent experiments were reported.</p>
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<p>AhR inhibitor CH223191 induces a reduction in virus yield during BCoV infection in MDBK cells. Cells pretreated or not with AhR inhibitor CH223191 were infected with BCoV at 24 h p.i. (<b>A</b>) Virus yield was assessed by the TCID<sub>50</sub> method and reported as Log TCID<sub>50</sub>/mL. Significant differences between BCoV-infected cells and CH223191-treated infected cells are indicated by probability <span class="html-italic">p</span>. *** <span class="html-italic">p</span> &lt; 0.001. (<b>B</b>) CPE by crystal violet staining was detected by the ZOE Cell Imager. Scale bar 100 µm. The results of one experiment representative of three independent experiments were reported.</p>
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<p>AhR is expressed in MDBK cells. AhR inhibitor CH223191 significantly induced a reduction in AhR expression in MDBK cells. BCoV activates the expression of AhR, and the AhR inhibitor (CH223191) downregulates both AhR and S protein expression during BCoV infection in MDBK cells. (<b>A</b>) In CH223191-treated and untreated uninfected cells, as well as in CH223191-treated and untreated BCoV-infected cells, immunofluorescence staining was performed to assess AhR and S protein expression. Scale bar = 25 µm. (<b>B</b>,<b>C</b>) Bars are the mean ratio generated from the integrated density (product of area and mean fluorescence intensity) of the AhR and S protein expression during BCoV infection. Significant differences between control (DMSO-treated) and BCoV-infected cells, as well as between BCoV-infected cells and AhR-inhibitor-treated infected cells for both AhR and S proteins, are indicated by probability <span class="html-italic">p</span>. * <span class="html-italic">p</span> &lt; 0.05 and *** <span class="html-italic">p</span> &lt; 0.001. The integrated density was measured by ImageJ. Error bars represent standard deviation measurement. The results of one experiment representative of three independent experiments were reported.</p>
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<p>BCoV activates the expression of both CYP1A1 and CYP1B1 (AhR signaling) during infection in MDBK cells. MDBK cells, pretreated or not with AhR inhibitor, were infected with BCoV at an MOI of 0.5 for 24 h. Then, immunofluorescence staining with antibodies recognizing (<b>A</b>) CYP1A1 and (<b>B</b>) CYP1B1 was performed. Scale bar = 50 µm. (<b>C</b>,<b>D</b>) Bars are the mean ratio generated from the integrated density (product of the area and mean fluorescence intensity) of the CYP1A1 and CYP1B1 expression during BCoV infection. Significant differences between DMSO and BCoV-infected cells, as well as between BCoV-infected cells and AhR-inhibitor-treated infected cells for both CYP1A1 and CYP1B1 proteins, are indicated by probability <span class="html-italic">p</span>. * <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span>. ** <span class="html-italic">p</span> &lt; 0.01. The integrated density was measured by ImageJ. Error bars represent standard deviation measurement. The results of one experiment representative of three independent experiments were reported.</p>
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<p>Recognition mechanism of CH223191 at the bAhR. (<b>A</b>) Structural representation of the full-length b AhR r, highlighting its four key domains: the bHLH (basic Helix-Loop-Helix) domain, spanning residues 27–80; the PAS A (Per Arnt Sim A) domain, spanning residues 111–181; the PAS B (Per Arnt Sim B) domain, spanning residues 275–342; and the TAD (Transactivation Domain), spanning residues 348–386. Each domain plays a crucial role in the function of the receptor and ligand interaction, providing a detailed understanding of the structural organization of the receptor. (<b>B</b>) 3D model of the bAhR (residues 1–400) predicted by AlphaFold, showing the folded regions containing the bHLH, PAS A, and PAS B domains. (<b>C</b>) Docking model of the CH223191 ligand bound to the bAhR. The figure highlights two key hydrogen bonds formed with residues Gln382 and Ser345, a π–π interaction with the aromatic side chain of Phe294, and several hydrophobic interactions with surrounding residues of the receptor, all of which are illustrated in the figure. These interactions contribute to the stable binding of CH223191 within the ligand-binding domain of the receptor.</p>
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22 pages, 6109 KiB  
Article
Amelioration of Alcoholic Hepatic Steatosis in a Rat Model via Consumption of Poly-γ-Glutamic Acid-Enriched Fermented Protaetia brevitarsis Larvae Using Bacillus subtilis
by So-Yeon Sim, Hyun-Dong Cho and Sae-Byuk Lee
Foods 2025, 14(5), 861; https://doi.org/10.3390/foods14050861 - 3 Mar 2025
Viewed by 222
Abstract
Alcoholic hepatic steatosis (AHS) is a common early-stage symptom of liver disease caused by alcohol consumption. Accordingly, several aspects of AHS have been studied as potential preventive and therapeutic targets. In this study, a novel strategy was employed to inhibit fatty liver accumulation [...] Read more.
Alcoholic hepatic steatosis (AHS) is a common early-stage symptom of liver disease caused by alcohol consumption. Accordingly, several aspects of AHS have been studied as potential preventive and therapeutic targets. In this study, a novel strategy was employed to inhibit fatty liver accumulation and counteract AHS through the consumption of microorganism-fermented Protaetia brevitarsis larvae (FPBs). By using an AHS rat model, we assessed the efficacy of FPB by examining the lipid profile of liver/serum and liver function tests to evaluate lipid metabolism modulation. After FPB administration, the lipid profile—including high-density lipoprotein, total cholesterol, and total triglycerides—and histopathological characteristics exhibited improvement in the animal model. Interestingly, AHS amelioration via FPBs administration was potentially associated with poly-γ-glutamic acid (PγG), which is produced by Bacillus species during fermentation. These findings support the formulation of novel natural remedies for AHS through non-clinical animal studies, suggesting that PγG-enriched FPBs are a potentially valuable ingredient for functional foods, providing an ameliorative effect on AHS. Full article
(This article belongs to the Special Issue The Development of New Functional Foods and Ingredients: 2nd Edition)
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<p>Biological properties of fermented <span class="html-italic">Protaetia brevitarsis</span> larvae (PbsLs) fermented for 3 d using different microbial species: total phenolic compound (<b>a</b>) and flavonoid contents (<b>b</b>). Values are presented as the mean ± standard error (<span class="html-italic">n</span> = 3). Means with the same letter are not significantly different (α = 0.05), as determined using one-way analyses of variance followed by Duncan’s new multiple-range tests. Abbreviations include N, non-fermented; F3, PbsLs fermented by <span class="html-italic">Lactobacillus plantarum</span> JBMI F3; F5, PbsLs fermented by <span class="html-italic">L. plantarum</span> JBMI F5; Ba9, PbsLs fermented by <span class="html-italic">L. gaseri</span> Ba9 F3; Ak, PbsLs fermented by <span class="html-italic">Aspergillus kawachii</span> KCCM 32819; Sc, PbsLs fermented by <span class="html-italic">Saccharomyces cerevisiae</span> KACC 93023; and Bs, PbsLs fermented by <span class="html-italic">Bacillus subtilis</span> KACC 91157.</p>
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<p>Effect of fermented <span class="html-italic">Protaetia brevitarsis</span> larvae (PbsLs) on the serum lipid profiles of alcohol-exposed rats: total cholesterol (<b>a</b>), HDL cholesterol (<b>b</b>), LDL cholesterol (<b>c</b>), total lipids (<b>d</b>), free fatty acids (<b>e</b>), triglycerides (<b>f</b>), and atherogenic index (<b>g</b>). Values are presented as the mean ± standard error (<span class="html-italic">n</span> = 6). Means with the same letter are not significantly different (α = 0.05), as determined using one-way analyses of variance followed by Duncan’s new multiple-range tests. Treatments include N, normal; C, control (alcohol only); PC, positive control (silymarin); NPB, non-fermented PbsLs combined with <span class="html-italic">Bacillus subtilis</span> KACC 91157; and FPB100 and FPB400, 100 and 400 mg/kg/d, respectively, of PbsLs fermented by <span class="html-italic">B. subtilis</span> for 3 d.</p>
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<p>Effect of fermented <span class="html-italic">Protaetia brevitarsis</span> larvae (PbsLs) on the serum-based liver function indicators of alcohol-exposed rats: alanine aminotransferase (ALT; (<b>a</b>)), aspartate aminotransferase (AST; (<b>b</b>)), alkaline phosphatase (ALP; (<b>c</b>)), lactate dehydrogenase (LDH; (<b>d</b>)), gamma-glutamyl transferase (GGT; (<b>e</b>)), total protein (<b>f</b>), albumin (<b>g</b>), globulin (<b>h</b>), and the albumin/globulin (A/G) ratio (<b>i</b>). Values are presented as the mean ± standard error (<span class="html-italic">n</span> = 6). Means with the same letter are not significantly different (α = 0.05), as determined using one-way analyses of variance followed by Duncan’s new multiple-range tests. Treatments include N, normal; C, control (alcohol only); PC, positive control (silymarin); NPB, non-fermented PbsLs combined with <span class="html-italic">Bacillus subtilis</span> KACC 91157; and FPB100 and FPB400, 100 and 400 mg/kg/d, respectively, of PbsLs fermented by <span class="html-italic">B. subtilis</span> for 3 d.</p>
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<p>Effect of fermented <span class="html-italic">Protaetia brevitarsis</span> larvae (PbsLs) on the alcohol (<b>a</b>), acetaldehyde (<b>b</b>), alcohol dehydrogenase (ADH) (<b>c</b>), and aldehyde dehydrogenase (ALDH) (<b>d</b>) and glutathione concentrations in the liver (<b>e</b>) and serum (<b>f</b>) of alcohol-exposed rats. Values are presented as the mean ± standard error (<span class="html-italic">n</span> = 6). Means with the same letter are not significantly different (α = 0.05), as determined using one-way analyses of variance followed by Duncan’s new multiple-range tests. Treatments include N, normal; C, control (alcohol only); PC, positive control (silymarin); NPB, non-fermented PbsLs combined with <span class="html-italic">Bacillus subtilis</span> KACC 91157; and FPB100 and FPB400, 100 and 400 mg/kg/d, respectively, of PbsLs fermented by <span class="html-italic">B. subtilis</span> for 3 d.</p>
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<p>Effect of fermented <span class="html-italic">Protaetia brevitarsis</span> larvae (PbsLs) on the malondialdehyde (MDA) content in the liver (<b>a</b>), serum (<b>b</b>), mitochondria (<b>c</b>), and microsome (<b>d</b>) of alcohol-exposed rats. Values are presented as the mean ± standard error (<span class="html-italic">n</span> = 6). Means with the same letter are not significantly different (α = 0.05), as determined using one-way analyses of variance followed by Duncan’s new multiple-range tests. Treatments include N, normal; C, control (alcohol only); PC, positive control (silymarin); NPB, non-fermented PbsLs combined with <span class="html-italic">Bacillus subtilis</span> KACC 91157; and FPB100 and FPB400, 100 and 400 mg/kg/d, respectively, of PbsLs fermented by <span class="html-italic">B. subtilis</span> for 3 d.</p>
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<p>Effect of fermented <span class="html-italic">Protaetia brevitarsis</span> larvae (PbsLs) on the triglyceride content (<b>a</b>) of alcohol-exposed rats, along with histopathological images of their hepatic tissue (<b>b</b>) and images of their livers (<b>c</b>). Values presented in (<b>a</b>) are the mean ± standard error (<span class="html-italic">n</span> = 6). Means with the same letter are not significantly different (α = 0.05), as determined using one-way analyses of variance followed by Duncan’s new multiple-range tests. Treatments include N, normal; C, control (alcohol only); PC, positive control (silymarin); NPB, non-fermented PbsLs combined with <span class="html-italic">Bacillus subtilis</span> KACC 91157; and FPB100 and FPB400, 100 and 400 mg/kg/d, respectively, of PbsLs fermented by <span class="html-italic">B. subtilis</span> for 3 d.</p>
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17 pages, 6109 KiB  
Article
Comparative Metabolomic and Transcriptomic Analyses Uncover Variation in Pigment Accumulation Profiles in Alpinia hainanensis Bracts
by Tong Zhao, Qianxia Yu, Huanfang Liu and Zehong Wei
Horticulturae 2025, 11(3), 266; https://doi.org/10.3390/horticulturae11030266 - 1 Mar 2025
Viewed by 245
Abstract
Alpinia hainanensis is a famous flowering herbaceous plant with valuable ornamental value that is distinguished by its brightly colored labellum. A. hainanensis ‘Shengzhen’ has been identified to possess a novel ornamental feature: its inflorescence is adorned with charming pink bracts. Although flavonoids are [...] Read more.
Alpinia hainanensis is a famous flowering herbaceous plant with valuable ornamental value that is distinguished by its brightly colored labellum. A. hainanensis ‘Shengzhen’ has been identified to possess a novel ornamental feature: its inflorescence is adorned with charming pink bracts. Although flavonoids are recognized as the primary pigments that color most flowers, the role of their metabolic pathways in shaping the bract color of A. hainanensis ‘Shengzhen’ has not yet been fully explored. This research performed transcriptomic and metabolomic analyses on the floral bracts of both wild-type (white bract) and ‘Shengzhen’ cultivar (pink bract) of A. hainanensis. The results identified 565 flavonoid metabolites, including 19 anthocyanins. The ‘Shengzhen’ cultivar showed a higher accumulation of 17 anthocyanins (seven cyanidins, two delphinidins, one pelargonidin, three peonidins, and four petunidins) compared to the wild type. A combined transcriptomic and metabonomic investigation revealed significant links between four differentially expressed genes and seven anthocyanins. The key genes responsible for flavonoid and anthocyanin synthesis, such as AhPAL, AhC4H, AhCHI, AhF3H, AhDFR, AhFLS, and AhF3′5′H, were further analyzed to explain the differences in pigmentation. This study offers a fresh perspective on anthocyanin accumulation in Alpinia, paving the way for future flower color breeding efforts in the genus. Full article
(This article belongs to the Special Issue Color Formation and Regulation in Horticultural Plants)
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<p><span class="html-italic">A. hainanensis</span> floral morphology: (<b>a</b>) floral diagram of <span class="html-italic">Alpinia</span>; (<b>b</b>) wild-type inflorescence; (<b>c</b>) ‘Shengzhen’ cultivar inflorescence; (<b>d</b>) ‘Shengzhen’ cultivar in the garden; (<b>e</b>) wild-type floral organ structures; (<b>f</b>) ‘Shengzhen’ cultivar floral organ structure. Inf: inflorescence, B: bract, Se: sepal, P: petal, St: stamen, La: labellum, c: carpel, Ca: calyx, sty: style. Scale bars = 1 cm in (<b>b</b>,<b>c</b>,<b>e</b>,<b>f</b>). The asterisk indicates the degenerated abaxial staminode.</p>
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<p>Differential flavonoid metabolites in AhPb vs. AhWb. The numbers at the top or bottom of the scatter plot represent the count of metabolites that have either increased or decreased in content for each category. The red and green dots represent upregulated and downregulated metabolites, respectively. Within each category of flavonoid compounds, the flavonoids exhibiting the maximum and minimum log2FC values are highlighted with large circular dots, while the remaining flavonoids are represented by small circular dots of uniform size. (<b>a</b>) Classification statistics of differentially accumulated flavonoids (DAFs) in AhPb vs. AhWb; (<b>b</b>) Classification statistics of 17 anthocyanins in AhPb vs. AhWb. For every category of anthocyanins, the detailed types are shown on the right, with the names of the anthocyanins color-coded to match their respective types.</p>
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<p>The list of DAFs in AhPb vs. AhWb: (<b>a</b>) A heatmap of DAFs with the highest |log2FC| in AhPb vs. AhWb. (<b>b</b>) A heatmap of DAFs in AhPb vs. AhWb based on peak area value. Only DAFs with |log2FC| &gt; 5 are displayed. The color bars on the far left signify various flavonoid classes, each distinguished by a unique color for easy reference (refer to the legend on the right). The yellow bars in the adjacent column signify upregulated compounds, with asterisks marking isomer detection.</p>
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<p>The comparative expression profiles of DEGs enriched in flavonoid biosynthesis-related KEGG pathways of both transcriptomic and metabolomic data in AhPb vs. AhWb. Genes were categorized based on their FPKM values, with a color spectrum illustrating the logarithmically transformed (log2) FPKM values. The initial red and orange bars on the left denote genes that are upregulated and downregulated, respectively. The Sankey diagram on the right depicts different KEGG pathways, and each path is marked with a unique color for a clear distinction. The italic fonts represent putative gene symbols based on homology comparison. <span class="html-italic">AhUGT77B</span> myricetin 3-O-rhamnosyltransferase UGT77B2-like; <span class="html-italic">AhAOGT</span> anthocyanidin 3-O-glucosyltransferase-like; <span class="html-italic">AhUGT73C4</span> UDP-glycosyltransferase 73C4-like; <span class="html-italic">AhUGT73C6</span> UDP-glycosyltransferase 73C6-like; <span class="html-italic">AhUGT73C2</span> UDP-glycosyltransferase 73C2-like; <span class="html-italic">AhOMT</span> O-methyltransferase-like; <span class="html-italic">AhPMAT1</span> phenolic glucoside malonyltransferase 1-like; <span class="html-italic">AhFLS</span> flavonol synthase 1-like; <span class="html-italic">AhCHI</span> chalcone–flavanone isomerase-like; <span class="html-italic">AhDCS</span> phenylpropanoylacetyl-CoA synthase-like; <span class="html-italic">AhF3′H</span> flavonoid 3′-monooxygenase-like; <span class="html-italic">AhHCT</span> hydroxycinnamoyltransferase-like; <span class="html-italic">AhZIOFF</span> hypothetical protein ZIOFF; <span class="html-italic">AhTHT1</span> tryptamine hydroxycinnamoyltransferase 1-like; <span class="html-italic">AhANR</span> anthocyanidin reductase-like; <span class="html-italic">AhC4H</span> cinnamate 4-monooxygenase-like; <span class="html-italic">AhCHS2</span> chalcone synthase 2-like; <span class="html-italic">AhF3′5′H</span> flavonoid 3′,5′-hydroxylase 1-like; <span class="html-italic">AhCYP71A1</span> cytochrome P450 71A1-like.</p>
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<p>Diverse modulation of anthocyanin biosynthesis in <span class="html-italic">A. hainanensis</span> bracts. The putative genes are highlighted in purple, and their expression profiles are depicted in red–green rectangular heatmaps at each biosynthetic step, with the log<sub>2</sub>-transformed RPKM values represented on a color gradient. Changes in the metabolite content are depicted using a pink–white circular heatmap. The asterisk denotes the detection of the compound’s isomer.</p>
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<p>Correlation analysis between DEGs and anthocyanins. The Chord diagram illustrates the relationships between four DEGs and seven anthocyanins. Each line connecting the genes to anthocyanins indicates a correlation. The size of the circles at the connection points corresponds to the correlation levels, with red and orange circles indicating positive correlations and blue and green circles indicating negative ones (refer to legend). The red–green heatmap displays the expression levels of differential genes based on FPKM values, while the pink–white heatmap shows the content of differential metabolites based on peak areas. The presence of an asterisk indicates the detection of an isomer of the compound.</p>
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<p>RT-qPCR validation of candidate gene expression with three independent technical replicates.</p>
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19 pages, 7322 KiB  
Article
Phytochemical-Mediated Ah Receptor Activity Is Dependent on Dietary Context
by Fangcong Dong, Andrew J. Annalora, Iain A. Murray, Debopriya Chakraborty, Denise M. Coslo, Craig Marcus, Andrew D. Patterson and Gary H. Perdew
Nutrients 2025, 17(5), 876; https://doi.org/10.3390/nu17050876 - 28 Feb 2025
Viewed by 228
Abstract
Background/Objective: The aryl hydrocarbon receptor (AHR) is an important mediator of intestinal homeostasis. The AHR senses certain classes of phytochemicals, including many flavonoids and tryptophan metabolites generated in the intestinal tract. Several in vitro studies demonstrate the presence of AHR ligands in numerous [...] Read more.
Background/Objective: The aryl hydrocarbon receptor (AHR) is an important mediator of intestinal homeostasis. The AHR senses certain classes of phytochemicals, including many flavonoids and tryptophan metabolites generated in the intestinal tract. Several in vitro studies demonstrate the presence of AHR ligands in numerous plants commonly consumed by humans. However, it has not been established that these foods can activate the AHR in vivo. The aim of this study was to evaluate how phytochemicals in foods can lead to AHR activation in vivo through modulating CYP1A1 activity. Methods: Freeze-dried spinach, corn, red potatoes, kidney beans, parsley, onion, carrots, bell peppers, and broccoli were fed to C57BL6/J female mice at 15% w/w in a semi-purified diet to evaluate the AHR activation potential. In vitro CYP1A1 microsomal assays were utilized to establish specific phytochemicals as CYP1A1 substrates. Results: Broccoli, onion, and carrots increased expression of the AHR target gene Cyp1a1 in the duodenum. Broccoli consumption led to the formation of the potent AHR ligand indolo[3,2-b]carbazole (ICZ), which is also a CYP1A1 substrate. Relative to the other vegetables, parsley contained a high concentration of apiin, a diglycoside of the flavone apigenin. Mice were fed a diet with either 10% parsley, 10% broccoli, or both vegetables. Parsley consumption increased broccoli-mediated Cyp1a1 induction in the duodenum, liver, and lung. Apigenin is a CYP1A1 substrate that can attenuate ICZ metabolism in vitro and increase broccoli-mediated Cyp1a1 expression in the lung. Conclusions: These results suggest that phytochemical competition for intestinal AHR binding and CYP1A1 metabolism modulates systemic AHR activity. Full article
(This article belongs to the Section Nutrition and Metabolism)
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<p>Some common foods are capable of increasing AHR activation in the intestinal tract. Foods as indicated were added at 15% on a dry weight basis to a semi-purified diet and fed to mice for 3 days. Duodenum and colonic tissues were isolated and RNA extracted, followed by qRT-PCR determination of the <span class="html-italic">Cyp1a1</span> mRNA levels. The data are the mean ± SEM, one-way ANOVA, Tukey’s test, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. Alphabetical characters indicate statistical comparisons between two groups.</p>
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<p>Assessment of the flavonoid-mediated agonist activity in an AHR-driven reporter cell line. The ability of 13 flavonoids at 10 µM to increase AHR activity was assessed in the Hepa 1.1 AHR reporter cell line. Cells were treated for 4 h with each flavonoid, compared to 2 nM TCDD as a positive control, and the luciferase activity was determined. The data are the mean ± SEM, one-way ANOVA, Tukey’s test, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Flavonoids differentially inhibit CEE-luciferin metabolism in a Hepa 1 microsomal assay system. Thirteen abundant flavonoids were assessed for the ability to inhibit CEE-luciferin metabolism in an in vitro microsomal assay system. The data are the mean ± SEM, one-way ANOVA, Tukey’s test, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001. Alphabetical characters indicate statistical comparisons between two groups.</p>
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<p>Parsley enhances broccoli-mediated <span class="html-italic">Cyp1a1</span> expression in the duodenum, liver and lung. Parsley, broccoli, or parsley + broccoli at 10% each in a semi-purified diet were fed for 7 days. RNA was isolated from the duodenum, colon, liver, and lung; qRT-PCR assessed the level of <span class="html-italic">Cyp1a1</span> expression. The data are the mean ± SEM, one-way ANOVA, Tukey’s test, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001. Alphabetical characters indicate statistical comparisons between two groups.</p>
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<p>Presence of apigenin in the intestinal tract and in the serum after parsley consumption. LC/MS/MS analysis revealed that a 10% parsley/semi-purified diet led to the presence of apigenin in cecal and fecal matter (<b>A</b>). A 10% parsley or a 10% broccoli + 10% parsley diet resulted in apigenin serum levels in a low µM range (<b>B</b>). Apigenin was less than the limit of detection (&lt;LOD) in a purified and broccoli diet.</p>
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<p>Apigenin, but not apiin, inhibits CEE-luciferin metabolism in a microsomal assay system. Increasing concentrations of apigenin or apiin were added to either the human (Caco2) or mouse (Hepa1) in vitro microsomal assay system and the luciferase activity was measured. α-NF was utilized as a positive control. The data are the mean ± SEM, one-way ANOVA, Tukey’s test, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001. Alphabetical characters indicate statistical comparisons between two groups.</p>
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<p>Apigenin docking in human and mouse CYP1A1. The substrate binding properties of apigenin were explored using Autodock (versions 4.2 and Vina) and molecular models of human CYP1A1 (hCYP1A1) and mouse CYP1A1 (mCYP1A1), which were created using the crystal structure of CYP1A1 (1TQN; see <a href="#sec2-nutrients-17-00876" class="html-sec">Section 2</a>). Apigenin docks to the CYP1A1 active site with low nanomolar affinity in both human (−11.2 kcal/mol; 6.3 nM; green stick) and mouse (−11.1 kcal/mol; or 7.5 nM; <a href="#nutrients-17-00876-t001" class="html-table">Table 1</a>) forms of the enzyme (see <a href="#nutrients-17-00876-t001" class="html-table">Table 1</a>). Here, the most common binding pose for apigenin is shown (−11.2 kcal/mol; green stick) in the CYP1A1 active site formed by amino acids I115, S116, S122, F123, F224, V228, F251, L254, N255, F258, D313, A317, D320, T321, V382, L496, and T497. The species-specific amino acid differences between the human and mouse CYP1A1 active site are limited to 3 residues (S116, S122 and V228), which are highlighted (purple lines) (<b>A</b>). Apigenin interacts with a cluster of highly conserved, hydrophobic residues (I115, F123, F224, V228, F251, L254, F258, A317, V382, L496) that define the narrow, active site pocket of both hCYP1A1 and mCYP1A1 (<b>B</b>). For the most common binding configuration (−11.2 kcal/mol; green stick), apigenin’s B-ring is positioned over the heme center, with the C3 and C5 target carbons in proximity (5.2–5.5 Å, respectively) for oxidation (<b>C</b>). A lower energy, but less common, docking solution (−11.4 kcal/mol; yellow stick) was also obtained for apigenin in the human model, but not in the mouse model. In this low-energy solution, the A-ring of apigenin is positioned over the heme, placing the C6 carbon within 4.7 Å of the heme center (<b>D</b>). Despite this outlier, apigenin docking was generally consistent for both mCYP1A1 and hCYP1A1, using either version of Autodock. Minor differences among the interactions between the substrate and the polymorphic active site residues S116(T), V228(T), and S122(T) were detected but did not significantly alter the terminal substrate positioning. Here, the nearly identical Autodock 4.2 results for mouse and human CYP1A1 are shown (hCYP1A1: 107 nM; −9.5 kcal/mol (orange stick); and mCYP1A1: 90 nM; −9.6 kcal/mol (light green stick), with the C3 target carbon of apigenin positioned 6.2–6.3 Å from the heme center, respectively) (<b>E</b>). Autodock Vina predicted lower energy binding of apigenin to hCYP1A1 than Autodock 4.2 (−11.2 kcal/mol (green stick) vs. −9.5 kcal/mol (orange stick), respectively), but both programs consistently positioned the C3 or C5 target carbons of the B-ring ~5.2–6.3 Å from the heme center (<b>F</b>).</p>
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<p>Apigenin can inhibit ICZ metabolism. The Hepa 1 microsomal assay system is capable of metabolizing apigenin to luteolin, and ICZ to dihydroxyICZ (<b>A</b>). Apigenin was incubated with the microsomal assay system under the conditions given for 120 min. LC-MS/MS was utilized to assess the level of apigenin (<b>B</b>), luteolin (<b>C</b>), and dihydroxyICZ (<b>D</b>). The data are the mean ± SEM, one-way ANOVA, Tukey’s test, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001. Alphabetical characters indicate statistical comparisons between two groups.</p>
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<p>Dietary apigenin is capable of increasing the lung <span class="html-italic">Cyp1a1</span> levels in the presence of broccoli. Here, 10% broccoli or 10% broccoli + 5 mg/g of apigenin in a powdered diet was fed to mice for 3 days and the <span class="html-italic">Cyp1a1</span> levels were assessed in duodenal scrapes, colonic scrapes, liver and lung. The data are the mean ± SEM, Student’s <span class="html-italic">t</span> test, * <span class="html-italic">p</span> &lt; 0.05. Alphabetical characters indicate statistical comparisons between two groups.</p>
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7 pages, 792 KiB  
Brief Report
Acute Influenza Virus-Associated Encephalitis and Other Neurological Complications in Severe Hospitalized Laboratory-Confirmed Influenza Cases—Catalonia 2010–2020
by Pilar Ciruela, Nuria Soldevila, Nuria Torner, Luca Basile, Maria del Mar Mosquera, M. Angeles Marcos, Anna Martínez, Mireia Jané, Cristina Rius, Angela Domínguez and the Working Group for the Catalan Influenza and Severe Acute Respiratory Infection Sentinel Surveillance Network (PIDIRAC)
Pathogens 2025, 14(3), 237; https://doi.org/10.3390/pathogens14030237 - 28 Feb 2025
Viewed by 245
Abstract
Neurological complications associated with influenza (NCIs) are rare events in adults. Influenza-associated encephalopathy is one of the most severe and frequently reported NCIs. The aim of this study is to describe the frequency and characteristics of NCIs in adults during 10 post-2009 pandemic [...] Read more.
Neurological complications associated with influenza (NCIs) are rare events in adults. Influenza-associated encephalopathy is one of the most severe and frequently reported NCIs. The aim of this study is to describe the frequency and characteristics of NCIs in adults during 10 post-2009 pandemic influenza seasons. Data were obtained from the registry of influenza cases admitted to hospitals of the PIDIRAC network for the surveillance of severe hospitalized laboratory-confirmed influenza (SHLCI) cases in Catalonia from October 2010 to March 2020. The variables analyzed were NCI, age, antiviral treatment, vaccination status, and outcome at discharge. During the study period, 9 (1.5‰) of 5931 SHLCI cases presented NCI. Five (55.6%) had influenza A and four (44.4%) had influenza B. Median age was 62 (17–67) years. One case had been vaccinated, all had received antiviral treatment, and five required ICU admission. The mean length of stay was 25.6 days (SD 25.8). Encephalitis was the most frequent complication, occurring in six cases (66.7%). Of these, three cases (50%) were caused by influenza A (two AH1N1pdm09 strains and one AH3N2). The high frequency of influenza-associated encephalitis caused by both type A and B influenza viruses suggests that both should be considered as potential etiologic factors for encephalopathy and other neurological diseases in adults. This recommendation would allow for the prompt antiviral treatment and prevention of severe outcomes. Full article
(This article belongs to the Section Viral Pathogens)
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<p>Severe hospitalized laboratory-confirmed influenza (SHLCI) and number of cases with neurological complications associated to influenza (NCIs). Influenza and acute respiratory infection surveillance program (PIDIRAC), Catalonia, 2010–2020.</p>
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<p>Intensive care unit (ICU) admission of severe hospitalized laboratory-confirmed influenza (SHLCI) cases with neurological complications, according to influenza virus type and subtype. Influenza and acute respiratory infection surveillance program (PIDIRAC), Catalonia, 2010–2020.</p>
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10 pages, 9975 KiB  
Article
Fabrication and Electrochemical Performance of Br-Doped Na3PS4 Solid-State Electrolyte for Sodium–Sulfur Batteries via Melt-Quenching and Hot-Pressing
by Ao Ma, Shuhui Liu, Degui Li, Bin Gu, Sheng Li and Jing Wang
Inorganics 2025, 13(3), 73; https://doi.org/10.3390/inorganics13030073 - 28 Feb 2025
Viewed by 175
Abstract
Room-temperature all-solid-state sodium–sulfur (Na-S) batteries are being regarded as a promising technology for large-scale energy storage. However, the low ionic conductivity of existing sulfide solid electrolytes has been hindering the potential and commercialization of Na-S batteries. Na3PS4 has garnered extensive [...] Read more.
Room-temperature all-solid-state sodium–sulfur (Na-S) batteries are being regarded as a promising technology for large-scale energy storage. However, the low ionic conductivity of existing sulfide solid electrolytes has been hindering the potential and commercialization of Na-S batteries. Na3PS4 has garnered extensive attention among sulfide solid electrolytes due to its potential ionic conductivity (primarily predominated by vacancies) and ease of fabrication. Herein, we demonstrated a combined melt-quenching with Br doping technique to pre-generate abundant defects (vacancies) in the Na3PS4, which expanded ion transport channels and facilitated Na+ migration. The quenched Na2.9PS3.9Br0.1 holds an ionic conductivity of 8.28 × 10−4 S/cm at room temperature. Followed by the hot-pressed fabrication at 450 °C was conducted on the quenched Na2.9PS3.9Br0.1 to reduce interface resistance, the resultant Na2.9PS3.9Br0.1 pellet shows an ionic conductivity up to 1.15 × 10−3 S/cm with a wide electrochemical window and chemical stability towards Na alloy anodes. The assembled all-solid-state Na2S/Na2.9PS3.9Br0.1/Na15Sn4 cell delivers an initial reversible capacity of 550 mAh/g at a current density of 0.1 mA/cm2. After 50 cycles, it still maintains 420 mAh/g with a capacity retention of 76.4%. The integration of melt-quenching, doping, and hot-pressing provides a new strategy to enable sulfide electrolytes with high ionic conductivity and all-solid-state Na-S batteries with high performance. Full article
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<p>XRD patterns of the Na<sub>3</sub>PS<sub>4</sub> (Na<sub>3−x</sub>PS<sub>4−x</sub>Br<sub>x</sub>) through different synthesis methods: (<b>a</b>) ball milled and melt-quenched Na<sub>3</sub>PS<sub>4</sub> followed by different annealing conditions; (<b>b</b>) melt-quenched Na<sub>3−x</sub>PS<sub>4−x</sub>Br<sub>x</sub> (x = 0, 0.0625, 0.1, 0.125, 0.15) followed by annealing at 450 °C; (<b>c</b>) Na<sub>2.9</sub>PS<sub>3.9</sub>Br<sub>0.1</sub> pellets hot-pressed at 450 °C and cold-pressed, respectively.</p>
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<p>SEM images of (<b>a</b>) Na<sub>2.9</sub>PS<sub>3.9</sub>Br<sub>0.1</sub> and (<b>b</b>) Na<sub>3</sub>PS<sub>4</sub> via melt-quenching followed by annealing at 450 °C and the corresponding elemental mapping Na, P, S, and Br; SEM images of (<b>c</b>) Na<sub>2.9</sub>PS<sub>3.9</sub>Br<sub>0.1</sub> and (<b>d</b>) Na<sub>3</sub>PS<sub>4</sub> at higher magnification; the cross-sectional images of (<b>e</b>) the hot-pressed and (<b>f</b>) cold-pressed Na<sub>2.9</sub>PS<sub>3.9</sub>Br<sub>0.1</sub> pellets.</p>
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<p>Nyquist plots of the Na<sub>3</sub>PS<sub>4</sub> (Na<sub>3−x</sub>PS<sub>4−x</sub>Br<sub>x</sub>) through different synthesis methods: (<b>a</b>) melt-quenched and (<b>b</b>) ball-milled Na<sub>3</sub>PS<sub>4</sub> fallowed by different annealing conditions; (<b>c</b>) Na<sub>3−x</sub>PS<sub>4−x</sub>Br<sub>x</sub> (x = 0, 0.0625, 0.1, 0.125, 0.15) quenched then annealed at 450 °C; (<b>d</b>) cold-pressed and hot-pressed Na<sub>2.9</sub>PS<sub>3.9</sub>Br<sub>0.1</sub> pellets; (<b>e</b>) activation energies of electrolytes synthesized via different methods.</p>
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<p>(<b>a</b>) CV curves of different cells measured at a scan rate of 0.1 mV/s; (<b>b</b>) voltage profiles of symmetric cells with Na<sub>15</sub>Sn<sub>4</sub> and Na metal electrodes at 0.1 mA/cm<sup>2</sup>; (<b>c</b>) Nyquist plots acquired from the symmetric cell with Na<sub>15</sub>Sn<sub>4</sub> electrode; (<b>d</b>–<b>f</b>) electrochemical performance of all-solid-state full cells assembled with hot-pressed and cold-pressed Na<sub>2.9</sub>PS<sub>3.9</sub>Br<sub>0.1</sub>.</p>
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<p>Schematic diagram of the Na<sub>2.9</sub>PS<sub>3.9</sub>Br<sub>0.1</sub> electrolyte pellet preparation.</p>
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15 pages, 3083 KiB  
Article
2D Porous Ti3C2 MXene as Anode Material for Sodium-Ion Batteries with Excellent Reaction Kinetics
by Lan Tang, Linlin Zhang, Guohao Yin, Xin Tao, Lianghao Yu, Xiaoqing Wang, Changlong Sun, Yunyu Sun, Enhui Hong, Guangzhen Zhao and Guang Zhu
Molecules 2025, 30(5), 1100; https://doi.org/10.3390/molecules30051100 - 27 Feb 2025
Viewed by 193
Abstract
Sodium-ion batteries (SIBs) are a promising electrochemical energy storage system but face great challenges in developing fast-charging anodes. MXene-based composites are a new class of two-dimensional materials that are expected to be widely used in SIB energy storage due to their excellent electrical [...] Read more.
Sodium-ion batteries (SIBs) are a promising electrochemical energy storage system but face great challenges in developing fast-charging anodes. MXene-based composites are a new class of two-dimensional materials that are expected to be widely used in SIB energy storage due to their excellent electrical conductivity and stable structure. However, MXenes tend to experience interlayer stacking during preparation, which can result in poor electrochemical performance and a lower actual capacity compared to the theoretical value. In this study, the porous structure was created using a chemical oxidation method from a microscopic perspective. The porous MXene (referred to as PM) was prepared by using a low concentration of hydrogen peroxide as the pore-forming solution, which enlarged the interlayer spacing to facilitate the transport of sodium ions in the electrolyte solution. The PM with the addition of hydrogen peroxide solution achieved high-rate performance, with a capacity of 247 mAh g−1 at 0.1 A g−1 and 114 mAh g−1 at 10 A g−1. It also demonstrated long-cycle stability, with a capacity of 117 mAh g−1 maintained over 1000 cycles at 5 A g−1. Full article
(This article belongs to the Special Issue Key Electrode Materials for Batteries and Supercapacitors)
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<p>(<b>a</b>) Schematic diagram of the PM series sample preparation process; (<b>b</b>) SEM images of PM-1; (<b>c</b>) PM-2; (<b>d</b>) PM-3 at different magnifications; (<b>e</b>) TEM images of PM-1; (<b>f</b>) PM-2; (<b>g</b>) PM-3 at same magnifications.</p>
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<p>(<b>a</b>) XRD spectra; (<b>b</b>) Raman spectra; (<b>c</b>) XPS full spectrum; (<b>d</b>–<b>f</b>) XPS spectra in the Ti 2p; C 1s; and O 1s regions for all samples.</p>
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<p>(<b>a</b>) CV curve of PM-3 electrode; (<b>b</b>) charge and discharge curve; (<b>c</b>) comparison of Rate performance of all samples; (<b>d</b>) comparison of cycles at 2 A g<sup>−1</sup>; (<b>e</b>) long cycle diagram of PM-3 electrode (The blue line represents the specific discharge capacity and the orange line represents the Coulomb efficiency).</p>
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<p>Schematic representation of the ion transport rate of PM-3.</p>
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<p>The PM-3 electrode (<b>a</b>) CV curves; (<b>b</b>) current and sweep velocity plots of the peaks; (<b>c</b>) pseudocapacitance contribution plots (0.6 mV s<sup>−1</sup>); (<b>d</b>) capacitance contribution plots at different sweep speeds; (<b>e</b>) comparison of impedance data for PM-1, PM-2 and PM-3; (<b>f</b>) GITT and Na<sup>+</sup> diffusion coefficient curves of the PM-3 electrode.</p>
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<p>In situ XRD data for PM-3.</p>
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15 pages, 2594 KiB  
Article
Comprehensive Analysis of Influenza Viruses’ Trends in Italy: Insights from a Nationwide and Regional Perspective
by Francesco Branda , Nicola Petrosillo , Dong Keon Yon , Massimo Ciccozzi  and Fabio Scarpa 
Infect. Dis. Rep. 2025, 17(2), 20; https://doi.org/10.3390/idr17020020 - 27 Feb 2025
Viewed by 165
Abstract
Background. Influenza remains a significant public health issue, with seasonal trends varying across regions. This study provides a comprehensive analysis of influenza virus trends in Italy, leveraging epidemiological and virological data from the Istituto Superiore di Sanità (ISS). The primary objective is [...] Read more.
Background. Influenza remains a significant public health issue, with seasonal trends varying across regions. This study provides a comprehensive analysis of influenza virus trends in Italy, leveraging epidemiological and virological data from the Istituto Superiore di Sanità (ISS). The primary objective is to assess influenza activity at both national and regional levels, highlighting variations in incidence rates and viral subtype circulation during the 2023/2024 season. Methods. We conducted a systematic approach to data collection, processing, and visualization, utilizing influenza surveillance data from ISS. Incidence rates, subtype distribution, and co-circulating respiratory viruses were analyzed to identify key trends. Results. Our findings reveal a significant increase in influenza cases during the 2023/2024 season, with incidence rates surpassing pre-pandemic levels. Notably, changes in the circulation of influenza A(H3N2) and influenza B were observed, alongside the presence of other respiratory viruses such as RSV and rhinovirus. Conclusions. This study underscores the importance of real-time surveillance, transparent data sharing, and advanced visualization tools in guiding public health responses. By integrating lessons from COVID-19, we highlight the necessity of standardized surveillance frameworks to enhance preparedness for future seasonal outbreaks and potential pandemics. Full article
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<p>Schematic overview of the key steps to build the dataset.</p>
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<p>Example of dataset usage [<a href="#B17-idr-17-00020" class="html-bibr">17</a>]. (<b>a</b>) Weekly trend of ILI incidence at the national level and across different age groups. (<b>b</b>) Weekly ILI incidence per region.</p>
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<p>Weekly trend of influenza virus positive samples, by type/subtype, between 18 November 2024 and 2 February 2025.</p>
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<p>(<b>a</b>) Weekly distribution of other respiratory viruses (season 2024–2025). (<b>b</b>) Trend of hMPV between November 2022 and 2 February 2025.</p>
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