Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (46,722)

Search Parameters:
Keywords = structural characterization

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
16 pages, 12526 KB  
Perspective
From Crystalline Frameworks to Dynamic Networks: Artificial Intelligence-Guided Design of Metal–Organic Materials
by Yunke Yang, Ruijie Jiao, Siqi Deng, Gonghua Hong and Junling Guo
AI Chem. 2026, 1(3), 10; https://doi.org/10.3390/aichem1030010 (registering DOI) - 30 Jun 2026
Abstract
Artificial intelligence has greatly accelerated the design and screening of metal–organic materials, particularly for crystalline systems with well-defined topologies and increasingly standardized structural databases. However, this success has also created a structure-centric design paradigm that is less suitable for metal–organic systems whose functions [...] Read more.
Artificial intelligence has greatly accelerated the design and screening of metal–organic materials, particularly for crystalline systems with well-defined topologies and increasingly standardized structural databases. However, this success has also created a structure-centric design paradigm that is less suitable for metal–organic systems whose functions are governed by process history, interfacial assembly, and dynamic coordination rather than by a single idealized lattice. This Perspective proposes that artificial intelligence (AI)-guided design of metal–organic materials should expand beyond crystalline metal–organic frameworks (MOFs) to encompass a broader structural continuum, ranging from long-range ordered frameworks to dynamic, non-periodic coordination networks. Metal–polyphenol networks (MPNs) are used here as an experimentally tractable example within a broader family of structurally dynamic metal–organic materials, as they arise from coordination interactions between metal ions and polyphenolic ligands, generally lack long-range crystallographic periodicity, and exhibit functions that are governed by interfacial assembly, environmental responsiveness, and pathway-dependent structural evolution. These features challenge conventional descriptor design and database-driven prediction, but also create opportunities for AI approaches that are process-aware, interface-sensitive, and function-oriented. By placing MOFs and MPNs within a unified framework of structural order, this Perspective outlines how machine learning, multimodal characterization, active learning, and closed-loop experimentation could expand metal–organic materials design from topology prediction toward dynamic network optimization. Full article
Show Figures

Figure 1

21 pages, 2278 KB  
Article
Do High P/E and EV/EBITDA Stocks Outperform Low-Multiple Stocks? Evidence from Technology, Consumer Staples, and Healthcare Portfolios in the U.S. Market (2018–2022)
by Abed Aftabi and SeyedSoroosh Azizi
J. Risk Financial Manag. 2026, 19(7), 477; https://doi.org/10.3390/jrfm19070477 (registering DOI) - 30 Jun 2026
Abstract
This study examines the relationship between valuation multiples and investment performance in the U.S. stock market. Specifically, it tests whether portfolios constructed with high-multiple stocks consistently outperform portfolios with low-multiple stocks. The analysis spans the Technology, Consumer Staples, and Healthcare sectors from 2018 [...] Read more.
This study examines the relationship between valuation multiples and investment performance in the U.S. stock market. Specifically, it tests whether portfolios constructed with high-multiple stocks consistently outperform portfolios with low-multiple stocks. The analysis spans the Technology, Consumer Staples, and Healthcare sectors from 2018 to 2022. A sector-based portfolio construction framework was employed using quarterly portfolio-return data. Quantitative financial modelling, including regression analysis and descriptive statistics, was applied to assess the correlation between portfolio returns and valuation multiples (P/E and EV/EBITDA), while interpreting results within the broader context of market volatility and the COVID-19 period. The results show no statistically significant relationship between valuation multiples and portfolio performance. Low-multiple portfolios demonstrated marginally higher average returns over the period, offering weak support for value-based investment strategies. Results further suggest limited standalone predictive power in high-multiple valuations. Drawing on the Efficient Market Hypothesis, Value Investing, Growth Investing, and the Fama-French Three-Factor Model, this paper empirically tests the impact of valuation multiples within a sector-based portfolio framework. Accordingly, the study adds to the asset pricing literature by offering a structured null-result framework, demonstrating that valuation multiples, when applied in isolation, may not provide sufficiently reliable standalone signals for portfolio performance. The COVID-19 period is interpreted as an economically meaningful contextual regime characterized by elevated volatility, liquidity intervention, and sectoral divergence, rather than as a formally estimated event-study framework. Full article
(This article belongs to the Section Economics and Finance)
Show Figures

Figure 1

15 pages, 1340 KB  
Article
Naphthalene-Type Glycosides from Rumex obtusifolius Roots and Their Protective Effects Against Muscle Atrophy in C2C12 Myotubes
by Yun Seok Joh, Jung Eun Park, Moon Jin Ra, Sang Mi Jung, Gabsik Yang, Ki Sung Kang and Ki Hyun Kim
Pharmaceutics 2026, 18(7), 807; https://doi.org/10.3390/pharmaceutics18070807 (registering DOI) - 29 Jun 2026
Abstract
Background/Objectives: Rumex obtusifolius L. (Polygonaceae) has been traditionally used to treat various disorders, including hepatic and gastrointestinal diseases. However, the phytochemical constituents of its roots and their potential protective effects against skeletal muscle atrophy remain poorly understood. This study aimed to isolate [...] Read more.
Background/Objectives: Rumex obtusifolius L. (Polygonaceae) has been traditionally used to treat various disorders, including hepatic and gastrointestinal diseases. However, the phytochemical constituents of its roots and their potential protective effects against skeletal muscle atrophy remain poorly understood. This study aimed to isolate and characterize bioactive constituents from R. obtusifolius roots and evaluate their protective effects against dexamethasone (DEX)-induced muscle atrophy in C2C12 myotubes. Methods: LC–MS-guided phytochemical investigation of the ethanol extract of R. obtusifolius roots, followed by successive column chromatography and HPLC purification, resulted in the isolation of four naphthalene-type glycosides. Their structures were elucidated using 1D and 2D NMR spectroscopy, HR-ESIMS, and chemical transformation. The protective effects of compounds 1 and 4 against dexamethasone (DEX)-induced muscle atrophy were evaluated by assessing myotube morphology, myogenic and atrophy-related protein expression, and PI3K/Akt/mTOR signaling. Results: A new naphthalene malonylglucoside, nepodin-8-O-β-D-(6′-O-malonyl)-glucopyranoside (1), together with three known glycosides (2–4), was identified. Among the isolated compounds, compound 1 significantly attenuated DEX-induced muscle atrophy in a concentration-dependent manner by increasing myotube diameter and improving myotube morphology. It restored the expression of the myogenic markers MyoD and myogenin while suppressing the atrophy-related proteins MuRF1 and MAFBX. Furthermore, compound 1 reversed DEX-induced suppression of the PI3K/Akt/mTOR signaling pathway, indicating recovery of anabolic signaling. Conclusions: This study reports a new naphthalene malonylglucoside (1) from R. obtusifolius roots and demonstrates that compound 1 protects against DEX-induced skeletal muscle atrophy through restoration of myogenic differentiation and activation of the PI3K/Akt/mTOR pathway. These findings suggest that compound 1 is a promising natural lead compound for the development of therapeutics targeting muscle wasting disorders. Full article
40 pages, 2331 KB  
Review
Bioactive Compounds from Allium Species: Chemical Features and Molecular Mechanisms in Polycystic Ovary Syndrome—A Narrative Review
by Teodora Todorovic, Vladimir Jakovljevic, Katarina Mihajlovic, Milica Milinkovic Sorgic, Sladjana Novakovic, Dusan Todorovic, Milos Krivokapic, Teodora Pecarski, Nikola Jovic and Jovana Joksimovic Jovic
Compounds 2026, 6(3), 38; https://doi.org/10.3390/compounds6030038 (registering DOI) - 29 Jun 2026
Abstract
Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disorder characterized by hyperandrogenism, insulin resistance, oxidative stress, and chronic low-grade inflammation, while conventional therapies are often limited by adverse effects and suboptimal adherence. This narrative review aims to evaluate the chemical composition [...] Read more.
Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disorder characterized by hyperandrogenism, insulin resistance, oxidative stress, and chronic low-grade inflammation, while conventional therapies are often limited by adverse effects and suboptimal adherence. This narrative review aims to evaluate the chemical composition and mechanistic effects of bioactive compounds derived from Allium species in the context of PCOS. A comprehensive analysis of the literature was performed, focusing on organosulfur compounds and polyphenols, with emphasis on their structure, reactivity, transformation pathways, and biological activity, integrating findings from preclinical and clinical studies. The evidence indicates that key compounds, including allicin, ajoene, and diallyl sulfides, exert biological effects through modulation of redox balance, inhibition of inflammation-related signaling, and regulation of insulin signaling pathways, while also influencing steroidogenesis and androgen synthesis. Polyphenolic compounds contribute primarily through antioxidant mechanisms related to their structural features. However, the current evidence remains limited by the scarcity of large-scale, long-term human clinical trials, particularly in women with PCOS, which restricts definitive conclusions regarding clinical efficacy, optimal dosing, safety, and long-term therapeutic applicability. Overall, Allium species represent a promising source of multitarget bioactive compounds for PCOS management, and understanding the chemical basis of their activity is essential for optimizing their therapeutic potential and guiding future research. Full article
(This article belongs to the Special Issue Compounds–Derived from Nature)
Show Figures

Figure 1

21 pages, 20019 KB  
Article
On Strength Variations Effected by Infill Patterns Such as Honeycomb, Gyroid, and Archimedean Chords Used in Additive Manufacturing
by Karolina Gocyk, Reza Afshar and Bilen Emek Abali
Polymers 2026, 18(13), 1619; https://doi.org/10.3390/polym18131619 (registering DOI) - 29 Jun 2026
Abstract
Additive manufacturing delivers internal substructures that alter the mechanical performance, yet their exploitation is still limited in structural part design, to a certain degree due to the absence of comparative studies. All slicer software solutions can exchange the infill with predefined infill patterns. [...] Read more.
Additive manufacturing delivers internal substructures that alter the mechanical performance, yet their exploitation is still limited in structural part design, to a certain degree due to the absence of comparative studies. All slicer software solutions can exchange the infill with predefined infill patterns. Often their performance properties are unknown, and engineers make choices that depend on the printing time or material use. We conduct an experimental campaign to understand infill patterns’ effect on the mechanical performance. This work is inspired by biomimicry and studies honeycomb-, gyroid-, and Archimedean chords-type infill patterns in order to determine their performance. Experimental analysis via the three-point bending test has been conducted by using samples from PolyLactic Acid (PLA) with infill densities of 50, 60, 70, 80, 90 and 100% for these infill patterns. An additional set of samples was printed with Acrylonitrile Butadiene Styrene (ABS) for additional evaluation of Archimedean chords. We characterize the mechanical performance by comparing strength properties and observe that a mass-normalized flexural strength measure is meaningful when selecting an adequate infill pattern. Honeycomb showed the highest absolute flexural strength; strength per mass peaked at 90% infill. Mass reduction effected by infill density reduction fails to be linear; lowering infill down to 50% decreases mass marginally by up to 17% only. The performance of each infill pattern and comparisons between mass, strength, and print time are described to serve as a guide for designers. Full article
(This article belongs to the Special Issue 3D/4D Printing of Polymers: Recent Advances and Applications)
15 pages, 1175 KB  
Article
Optimization-Driven Design of Composite Empennage Structures for Hybrid-Electric Aircraft
by Concetta Palumbo, Gianluca Diodati, Gaetano Perillo, Domenico Cristillo, Antonio Sodano, Stefania Atalarico, Francesco Santonicola, Mariacristina Nardone, Antonio Negro and Antonio Chiariello
Aerospace 2026, 13(7), 586; https://doi.org/10.3390/aerospace13070586 (registering DOI) - 29 Jun 2026
Abstract
This paper presents the optimization-oriented structural design of aircraft empennages developed within the HERFUSE project, funded by the Clean Aviation Joint Undertaking. The study focuses on the horizontal and vertical tailplane of a hybrid-electric regional aircraft, considering the structural challenges introduced by distributed [...] Read more.
This paper presents the optimization-oriented structural design of aircraft empennages developed within the HERFUSE project, funded by the Clean Aviation Joint Undertaking. The study focuses on the horizontal and vertical tailplane of a hybrid-electric regional aircraft, considering the structural challenges introduced by distributed propulsion and novel integration requirements. The distributed propulsion layout influences the tail load envelope through powered-on maneuver/gust and asymmetric-thrust conditions, which contribute to the laminate redistribution in regions subjected to high bending–torsional demand. Starting from a conceptual structural configuration, the empennage is refined through a multi-objective optimization process. The structure is discretized into multiple regions, each characterized by independent laminate definitions selected from a predefined set of stacking sequences. The optimization aims to minimize the overall structural mass while ensuring adequate structural integrity under the project complete set of load cases. Structural performance is evaluated using a failure criterion suitable for composite materials, allowing the identification of critical regions and the redistribution of material accordingly. The results highlight the effectiveness of the adopted optimization strategy in improving structural efficiency, providing a refined configuration with a final mass of 433 kg, corresponding to an approximately 27.23% reduction with respect to the reference configuration coming from project specifications, while maintaining controlled failure index levels. The proposed approach demonstrates its suitability for supporting early-stage design decisions in next-generation hybrid-electric aircraft. Full article
(This article belongs to the Special Issue Advanced Aircraft Composite Structure Design)
29 pages, 17021 KB  
Article
Integrated LIBS-EPMA and Multivariate Statistical Analysis for Ge-Bearing Mineral Characterization: A Tool for High-Tech Critical Metals Exploration
by Nicolas Afanassieff, Emilie Janots, Octave Reignier, Vincent Motto-Ros, Valentina Batanova, Dennis Lahondès, Etienne Le Goff, Jérémie Melleton and Bénédicte Cenki
Minerals 2026, 16(7), 685; https://doi.org/10.3390/min16070685 (registering DOI) - 29 Jun 2026
Abstract
Germanium (Ge) is a high-tech critical metal typically hosted at trace levels in sphalerite, making its detection and characterization challenging in both primary ores and mine residues. This study presents a multi-scale analytical workflow combining laser-induced breakdown spectroscopy (LIBS), electron probe micro-analysis (EPMA), [...] Read more.
Germanium (Ge) is a high-tech critical metal typically hosted at trace levels in sphalerite, making its detection and characterization challenging in both primary ores and mine residues. This study presents a multi-scale analytical workflow combining laser-induced breakdown spectroscopy (LIBS), electron probe micro-analysis (EPMA), and multivariate statistics to detect, map and quantify Ge distribution in a representative Pb-Zn sample from the Les Malines deposit (France). µ-LIBS mapping enables rapid centimeter-scale screening at 15 µm resolution and identifies Ge-bearing domains over large areas, which are subsequently investigated at micrometer scale using EPMA chemical mapping and quantitative analyses. Results reveal a strong µm-scale heterogeneity of Ge distribution within sphalerite, with Ge systematically concentrated in an Fe-rich intermediate zonation associated with prismatic growth textures, while Cu/Cd/Ag are enriched in distinct collomorph domains. Multivariate statistical analyses (correlation matrices and PCA) confirm a strong geochemical structuring opposing an Fe/Ge association against a Cu/Cd/Ag pole. These findings demonstrate that Ge incorporation is controlled by localized growth conditions rather than bulk composition. The proposed workflow provides an efficient and scalable framework for exploration, enabling rapid targeting of critical metal enrichments and supporting their extension to multiple mineralization stages, Pb-Zn deposits, and other high-tech critical metals (HTCMs) such as Ga and In. Full article
16 pages, 775 KB  
Article
Solubility, Release Behavior and Membrane Permeability of a Ibuprofen Hydrogel Co-Assembled with N-Methyl-D-Glucosamine
by Guoxun Li, Xinru Lu, Caijuan Hu, Jiaxuan Ji, Xiakang Xiong, YuJia Zhang, Zhenwei Ni, Jue Wang, Jiawei Han and Xiaoqian Liu
Gels 2026, 12(7), 577; https://doi.org/10.3390/gels12070577 (registering DOI) - 29 Jun 2026
Abstract
Small-molecule hydrogels have gradually become a research hotspot compared with polymeric hydrogels, but their practical advantages have not been fully realized in the development of pharmaceutical formulations. This study aimed to explore whether the N-methyl-D-glucosamine (GLU) could be introduced to form a ibuprofen [...] Read more.
Small-molecule hydrogels have gradually become a research hotspot compared with polymeric hydrogels, but their practical advantages have not been fully realized in the development of pharmaceutical formulations. This study aimed to explore whether the N-methyl-D-glucosamine (GLU) could be introduced to form a ibuprofen (IBU) hydrogel for overcoming its water solubility defect and optimizing its pharmaceutical properties. Such an IBU-GLU hydrogel was prepared by simply mixing IBU with GLU in small-volume deionized water. The formed IBU-GLU hydrogel was characterized by SEM, rheology, DSC, PXRD and FTIR analyses. In addition, the solubility, in vitro release and permeability were also investigated to evaluate the solubilization and permeability-promoting effects. The resulting IBU-GLU hydrogel exhibited a typical 3D structure with excellent viscoelasticity, which relied on the equilibrium of aggregation and dissolution, as well as a good miscibility between IBU and GLU, and self-assembly driven by intermolecular interactions in an aqueous environment. Compared to pure IBU, the IBU solubility of the IBU-GLU hydrogel was significantly improved by 38.4-fold. Furthermore, IBU-GLU hydrogel demonstrated superior release rates and supersaturation ability, which was attributed to its high-energy state and internal molecular complexation. Additionally, compared with the commercially available IBU hydrogel, the prepared IBU-GLU hydrogel significantly accelerated IBU membrane permeation. Thus, this study highlighted that the designed IBU-GLU hydrogel could serve as a feasible approach to enhance the release and permeability of IBU for its druggability optimization. Full article
(This article belongs to the Special Issue Hydrogels: Properties and Applications in Medicine)
12 pages, 5880 KB  
Article
Aflrpn4 Represents a Promising Target for Mitigating Aspergillus flavus Growth and Aflatoxin Contamination
by Xingsai Liu, Yanli Xin, Kashif Iqbal Sahibzada, Xiujia Zhang, Cunjian Tu, Shan Wei, Yuansen Hu and Yangyong Lv
Toxins 2026, 18(7), 284; https://doi.org/10.3390/toxins18070284 (registering DOI) - 29 Jun 2026
Abstract
Aspergillus flavus and its primary secondary metabolite, aflatoxin B1, pose a persistent threat to global food security and public health, highlighting the need to identify novel molecular targets for the development of highly specific fungicides. In this study, the transcription factor Aflrpn4 was [...] Read more.
Aspergillus flavus and its primary secondary metabolite, aflatoxin B1, pose a persistent threat to global food security and public health, highlighting the need to identify novel molecular targets for the development of highly specific fungicides. In this study, the transcription factor Aflrpn4 was investigated by constructing gene deletion and complementation strains to elucidate its regulatory mechanisms in controlling the growth, development, and pathogenicity of A. flavus. Phenotypic analysis revealed that, compared with the wild-type and complemented strains, loss of Aflrpn4 severely restricted radial colony growth, reduced conidial yield, and caused structural defects in conidiophores. Furthermore, AFB1 content was reduced by 52% compared with the wild-type. In storage simulation assays using peanut and maize kernels, the ΔAflrpn4 strain exhibited significantly compromised colonization capacity, reduced biomass, and lower AFB1 accumulation. Under aflatoxin-inducing YES culture conditions, deletion of Aflrpn4 was associated with significant downregulation of key pathway-specific regulatory and structural genes, including aflR, aflS, and aflP. Furthermore, under osmotic stress induced by 1.2 M NaCl and KCl, the growth inhibition rates of the ΔAflrpn4 strain reached 70% and 59%, respectively, and cell membrane integrity was severely compromised. Loss of Aflrpn4 also disrupted intracellular redox homeostasis, characterized by a significant decrease in superoxide dismutase activity, compensatory increases in catalase and peroxidase activities, and substantial accumulation of reactive oxygen species. Collectively, these findings demonstrate that Aflrpn4 acts as a pivotal regulator coordinating vegetative growth, asexual development, stress adaptation, and aflatoxin biosynthesis in A. flavus. Consequently, Aflrpn4 represents a promising molecular target for developing targeted interventions to control A. flavus and aflatoxin contamination during grain storage. Full article
(This article belongs to the Special Issue Biosynthesis and Detoxification of Mycotoxins)
22 pages, 12952 KB  
Article
Fluid Flow Analysis in Fractured Rock Mass by Data Integration of Digital Outcrop Model and Discrete Fracture Network (DFN)
by Matteo Giovanni Foletti, Niccolò Menegoni, Yuri Panara, Daniele Giordan, Claudia Meisina, Giorgio Pilla, Davide Elmo and Cesare Perotti
Geosciences 2026, 16(7), 257; https://doi.org/10.3390/geosciences16070257 (registering DOI) - 29 Jun 2026
Abstract
Fracture characterization is crucial to constrain a realistic subsurface reservoir model. They are key elements, affecting fluid flow, permeability and consequently recovery factor and productivity. Considering a proper assessment of fracture network from subsurface investigation is often difficult; in recent years, the application [...] Read more.
Fracture characterization is crucial to constrain a realistic subsurface reservoir model. They are key elements, affecting fluid flow, permeability and consequently recovery factor and productivity. Considering a proper assessment of fracture network from subsurface investigation is often difficult; in recent years, the application of Digital Photogrammetry (DP) has become popular for fracture network characterization. In this paper, we combined DP and Discrete Fracture Network modeling (DFN) to assess the fluid circulation analysis of the Monte Antola Formation (Northern Apennines, Italy). Thanks to the application of DP, it is possible to reconstruct Digital Outcrop Models (DOMs) and acquire high-precision fracture measurements such as size, location, and orientation. Utilizing quantitative measurements, we performed DFNs to simulate rock mass permeability. The primary findings from the DFNs indicate that fluid circulation is primarily influenced by (1) regions with a high density of fractures, which are associated with the primary structural features observed throughout the study area, and (2) locally, by the orientation of the dominant and persistent fracture set. The proposed approach highlights the importance of the use of DOMs for better reconstruction of the fracture network and defining an important number of relevant parameters; such quantitative information remarkably improves the reliability of DFNs. Full article
16 pages, 4757 KB  
Article
Electrochemical Behavior of Clay-Based Nanocomposites in an Ion-Exchange Gel Membrane for Supercapacitor Applications
by Borislava Mladenova, Gergana Ivanova, Antonia Bakalova, Elefteria Lefterova and Antonia Stoyanova
Gels 2026, 12(7), 576; https://doi.org/10.3390/gels12070576 (registering DOI) - 29 Jun 2026
Abstract
The development of low-cost, environmentally friendly, and electrochemically stable electrode materials remains a significant challenge for supercapacitors. In the present study, composite materials based on a montmorillonite K10 clay support were synthesized and characterized. Coconut shell-derived activated carbon, manganese dioxide (MnO2), [...] Read more.
The development of low-cost, environmentally friendly, and electrochemically stable electrode materials remains a significant challenge for supercapacitors. In the present study, composite materials based on a montmorillonite K10 clay support were synthesized and characterized. Coconut shell-derived activated carbon, manganese dioxide (MnO2), and/or activated carbon (YP-80F) modified with silver nanoparticles were utilized as functional additives to the clay matrix. The aim of this work is to enhance the specific capacitance and electrochemical stability of the materials through a synergistic effect between these individual components. The novelty of this study lies in the integration of montmorillonite K10-based nanocomposites with an ion-exchange hydrogel membrane and in the investigation of the synergistic effects of different functional additives on the electrochemical performance of supercapacitors. The electrodes were fabricated using a casting method, while a commercial membrane, pre-soaked in a sodium sulfate solution, was employed as both separator and electrolyte. The membrane functions as an ion-exchange hydrogel, contributing to high ionic conductivity and reduced interfacial resistance. The electrochemical results indicate that the presence of additives significantly improves electron transport within the system, while the K10 clay support acts as a stable structural framework. The obtained results demonstrate the potential of clay-based nanocomposites integrated into gel-polymer systems for the development of efficient, low-cost, and environmentally friendly next-generation supercapacitors. Full article
(This article belongs to the Section Gel Applications)
28 pages, 21347 KB  
Article
Calibrated Multi-Method Fractal Characterization of Full-Scale Pore Structure and Geological Controls in Deep Anthracite: Case Study from Daning–Jixian Block, Ordos Basin
by Bin Zhang, Ya Meng, Song Yang, Xiangting Wang, Dejie Zhou and Kun Zhao
Fractal Fract. 2026, 10(7), 443; https://doi.org/10.3390/fractalfract10070443 (registering DOI) - 29 Jun 2026
Abstract
Deep coal reservoirs commonly exhibit strong multiscale heterogeneity, which directly affects coalbed methane (CBM) storage, diffusion, and flow. In this study, deep No. 8 coal samples from the Daning–Jixian block, Ordos Basin, were comprehensively and quantitatively characterized using low-pressure CO2 adsorption, low-temperature [...] Read more.
Deep coal reservoirs commonly exhibit strong multiscale heterogeneity, which directly affects coalbed methane (CBM) storage, diffusion, and flow. In this study, deep No. 8 coal samples from the Daning–Jixian block, Ordos Basin, were comprehensively and quantitatively characterized using low-pressure CO2 adsorption, low-temperature N2 adsorption, mercury intrusion porosimetry (MIP), and nuclear magnetic resonance (NMR). A method-constrained calibration framework was developed to assign reliable fractal dimensions to different pore-size intervals and to calculate a volume-weighted comprehensive fractal index. The scale-dependent pore structure was evaluated, and its relationships with coal quality, maceral composition, and maximum vitrinite reflectance (Ro,max) were analyzed. The results show that deep anthracite has a trimodal pore-size distribution, with micropores dominating both specific surface area and pore volume. Fractal behavior is strongly scale-dependent, and calibrated full-pore-size fractal dimensions provide a more reliable measure of reservoir heterogeneity than single-method interpretations. Pore development and heterogeneity are closely associated with coalification degree, coal quality, and maceral composition. Ash tends to inhibit pore development, whereas fixed carbon and vitrinite promote micropore development; inertinite mainly contributes to macropores and fractures. These findings provide a quantitative basis for evaluating pore-structure heterogeneity and optimizing deep CBM reservoir development. Full article
19 pages, 2445 KB  
Article
Arylidenehydrazinyl 4-Methylthiazole-5-carboxylates: Synthesis, Antileishmanial Activity, and Targeting of Trypanothione Synthetase
by Brunno da S. Souza, Hasnain Mehmood, Estela M. Nolasco, Muhammad Haroon, Tashfeen Akhtar, Nathalia da Silva Brito, Adilson Beatriz, Nikhil Sodhi, Vijay P. Singh, Amilcar Machulek, Gleison A. Casagrande, Dênis Pires de Lima, Sumbal Saba, Thalita B. Riul and Jamal Rafique
Molecules 2026, 31(13), 2278; https://doi.org/10.3390/molecules31132278 (registering DOI) - 29 Jun 2026
Abstract
Background/Objectives: Leishmaniases are a group of neglected tropical diseases that have been overlooked, and new treatments are needed. This is because the parasites that cause it, from the Leishmania genus, have become drug-resistant, and current medications can be toxic. In this regard, arylidenehydrazinyl [...] Read more.
Background/Objectives: Leishmaniases are a group of neglected tropical diseases that have been overlooked, and new treatments are needed. This is because the parasites that cause it, from the Leishmania genus, have become drug-resistant, and current medications can be toxic. In this regard, arylidenehydrazinyl thiazoles emerge as a potential scaffold for creating new, effective drug candidates to combat this disease. Methods: Here, we report the synthesis of a series of arylidenehydrazinyl thiazole carboxylates (3am, 13 examples, 66–78%) using a simple cost-effective strategy via cyclization of aryl-substituted thiosemicarbazones and ethyl-2-chloro-3-oxobutanoate in an equimolar mixture. These compounds were investigated for their promising bioactive properties. Results: All compounds were fully characterized using spectroscopic techniques (1H-, 13C-NMR, FTIR spectroscopy, and HRMS) to confirm their purity and identity. These arylidenehydrazinyl thiazole carboxylates have been tested for their cytotoxicity against promastigote and intracellular amastigote forms of Leishmania amazonensis (IFLA/BR/1967/PH8) and the NIH/3T3 mouse fibroblast cell lines and their potential interaction with Leishmania trypanothione synthetase was explored through in silico molecular docking studies. Conclusions: The compounds showed little or no cytotoxicity against NIH/3T3 fibroblasts, compounds 3a, 3d and 3m showed low cytotoxicity to promastigote forms, but compounds 3b, 3c, 3h and 3m showed activity against amastigotes (IC50 = 15.92 µM for 3m) at the tested concentrations. In silico molecular docking studies have been deployed to investigate the structural dynamics and the stability of the complex. These findings suggested that the newly developed compounds represent promising preliminary hits for further optimization toward the treatment of diseases associated with Leishmania parasites. Full article
(This article belongs to the Special Issue Novel Antiparasitic Molecules for Neglected Tropical Diseases)
Show Figures

Figure 1

18 pages, 4735 KB  
Article
Construction of Biomimetic Film Based on the Surface Structure of Orange Peel and Its Blueberry Preservation Performance
by Xiuqi Liu, Xingyu Chen, Feiyao Wang, Yixuan Zhang, Mingxing Li, Daoyin Zhang, Jing Qiao, Liyan Wang and Lili Ren
Gels 2026, 12(7), 573; https://doi.org/10.3390/gels12070573 (registering DOI) - 29 Jun 2026
Abstract
To develop eco-friendly and highly efficient fruit and vegetable preservation materials, this study uses the multi-gradient micro–nano roughness structure and bioactive properties of orange peel as a biomimetic model, aiming to construct a functional film with a unique dual mechanism of physical barrier [...] Read more.
To develop eco-friendly and highly efficient fruit and vegetable preservation materials, this study uses the multi-gradient micro–nano roughness structure and bioactive properties of orange peel as a biomimetic model, aiming to construct a functional film with a unique dual mechanism of physical barrier protection and active preservation. Using soft etching and secondary transfer methods, with polydimethylsiloxane as an intermediate template, and through a repeated freeze–thaw cross-linking process, a polyvinyl alcohol system containing orange peel essential oil was cast to successfully prepare a biomimetic film featuring the micro–nano hierarchical structures found on the surface of orange peel. The study indicates that the biomimetic film accurately replicates the cross-scale hierarchical structures of the natural orange peel surface. Structure–property relationship analysis revealed that the biomimetic film containing 15% orange peel essential oil exhibited the optimal comprehensive performance, characterized by significantly enhanced tensile strength and improved water vapor barrier properties, while demonstrating effective antioxidant and regulated antibacterial activities. Crucially, compared to conventional flat active films, the replicated multi-scale surface roughness provides clear functional advantages by physically optimizing interface properties and cooperating synergistically with the chemical vapor release of the essential oil. Blueberry preservation experiments confirmed that the biomimetic film successfully maintains fruit firmness, vitamin C, and anthocyanin content, while suppressing weight loss and decay rates. This study simulates the microenvironmental control mechanisms of orange peel, highlighting the scientific novelty of structural–chemical synergistic design for advanced functional packaging. Full article
Show Figures

Figure 1

11 pages, 238 KB  
Article
The Health-Related Quality of Life in Patients with Diabetic Foot Ulcers in Türkiye: Challenges in Diagnosis and Treatment
by Mustafa Salış, Boran Yalçın, Bülent Çağlar Bilgin, Ezgi Salış, Alaettin Ünsal and Didem Arslantaş
J. Am. Podiatr. Med. Assoc. 2026, 116(4), 45; https://doi.org/10.3390/japma116040045 (registering DOI) - 29 Jun 2026
Abstract
Background: Diabetes mellitus (DM) is a metabolic disease with an increasing global prevalence. It is characterized by chronic and systemic complications. Due to these complications, DM significantly impacts patients’ health-related quality of life (HRQoL). One of the most critical complications of DM [...] Read more.
Background: Diabetes mellitus (DM) is a metabolic disease with an increasing global prevalence. It is characterized by chronic and systemic complications. Due to these complications, DM significantly impacts patients’ health-related quality of life (HRQoL). One of the most critical complications of DM is diabetic foot ulcers (DFUs), which have serious consequences for patients and healthcare systems. Objective: This study aimed to investigate variables potentially associated with HRQoL in patients with DFUs presenting to our wound care unit. Methods: This prospective cross-sectional study was conducted from February to May of 2023 at the Wound Care Unit of the General Surgery Department at Eskişehir City Hospital. A total of 209 patients who agreed to participate were included in the study. Data were collected via a structured questionnaire developed based on the literature, which included the Diabetic Foot Ulcer Scale–Short Form (DFS-SF). We used the Kolmogorov–Smirnov test, univariate analyses (Mann–Whitney U and Kruskal–Wallis tests), and multiple linear regression. Results: In the multivariate analysis, receipt of foot care education (p < 0.001), frequency of hospital applications due to DFU (p = 0.008), and Wagner classification (p = 0.012) were found to be predictors of HRQoL for DFUs (Adjusted R2 = 0.206, F = 4.365, p < 0.001). Conclusions: To maintain a high HRQoL among DFU patients, they should immediately apply to specialized Wound Care Units, receive education, especially regarding early diagnosis and treatment, and receive multidisciplinary management for DFU. Full article
Back to TopTop