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58 pages, 10581 KB  
Review
Hydrogels—Advanced Polymer Platforms for Drug Delivery
by Rodica Ene (Vatcu), Andreea-Teodora Iacob, Iuliu Fulga, Maria Luisa Di Gioia, Ionut Dragostin, Ana Fulga, Sangram Keshari Samal and Oana-Maria Dragostin
Polymers 2026, 18(6), 709; https://doi.org/10.3390/polym18060709 (registering DOI) - 14 Mar 2026
Abstract
Optimizing drug administration remains a central challenge in the development of modern therapies, especially in the context of conditions that require spatiotemporal control of active substance release. In this context, hydrogels have been intensively investigated as polymeric platforms for drug delivery, through their [...] Read more.
Optimizing drug administration remains a central challenge in the development of modern therapies, especially in the context of conditions that require spatiotemporal control of active substance release. In this context, hydrogels have been intensively investigated as polymeric platforms for drug delivery, through their three-dimensional hydrophilic structure, tunable properties, and compatibility with biological environments. This analysis presents an integrated approach to hydrogels used in drug administration, addressing the physicochemical fundamentals, the constitutive polymeric materials, and the mechanisms of response to relevant physiological stimuli. Recent experimental studies have been discussed, which highlight the use of hydrogels based on natural, synthetic, and hybrid polymers for controlled and targeted release, in correlation with various administration routes, including oral, injectable, transmucosal, and topical ones. Advanced functionalization strategies that allow adaptive responses to pH, temperature, glucose, enzymes, and reactive oxygen species are also analyzed. Furthermore, emerging directions integrating hydrogels with biosensors, microdevices, and wireless communication systems for real-time monitoring and on-demand release are highlighted. Overall, the analysis emphasizes the role of smart hydrogels as multifunctional platforms for complex therapeutic strategies while also underlining the current challenges associated with clinical translation and long-term performance. Full article
(This article belongs to the Special Issue Advanced Polymeric Biomaterials for Drug Delivery Applications)
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16 pages, 6453 KB  
Article
Tornado Impact and the Built Environment: The Development of an Integrated Risk-Exposure and Spatial Modeling Metric
by Mehmet Burak Kaya, Onur Alisan, Eren Erman Ozguven and Ren Moses
Geographies 2026, 6(1), 32; https://doi.org/10.3390/geographies6010032 (registering DOI) - 14 Mar 2026
Abstract
Tornadoes pose growing threats to both communities and the built environment, yet few studies have quantified how spatial characteristics of the built environment interact with social and economic factors while influencing tornado impacts. This paper introduces an integrated metric that combines tornado risk [...] Read more.
Tornadoes pose growing threats to both communities and the built environment, yet few studies have quantified how spatial characteristics of the built environment interact with social and economic factors while influencing tornado impacts. This paper introduces an integrated metric that combines tornado risk and exposure to evaluate localized disaster impact. Focusing on Florida’s Panhandle, we examine how housing density and affordability, network connectivity, and urban form efficiency, together with demographic and socioeconomic attributes, shape tornado impacts at the U.S. census block group (CBG) level. To address spatial autocorrelation and non-stationarity, five statistical models were compared, including both global and local spatial regressions. The findings indicate that multiscale geographically weighted regression (MGWR) most effectively captures the spatial heterogeneity of tornado impacts. Built-environment and affordability factors show clear spatial heterogeneity— smart location indexand housing cost burden (h_ami) are positively associated with tornado impact in CBGs near Tallahassee and parts of Pensacola—suggesting amplified impacts in location-efficient urban areas where exposure is concentrated and affordability stress may limit preparedness and recovery. In contrast, network density is negatively associated with the impact of key clusters, consistent with the idea that denser, more redundant road networks can reduce canopy-weighted disruption by providing alternative routes for emergency access and restoration. Overall, these findings can inform our understanding of how the built environment influences tornado exposure, offering critical insights for planners and policymakers seeking to strengthen communities against tornadoes. Full article
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22 pages, 2199 KB  
Article
Study on the Regulation of Diethylene Glycol on the Hydration Process of High-Activity Calcium Oxide
by Yu Fan, Wei Guo, Yueyang Hu, Yue Zhang, Jiaqing Wang and Zhaijun Wen
Materials 2026, 19(6), 1132; https://doi.org/10.3390/ma19061132 (registering DOI) - 14 Mar 2026
Abstract
Traditional calcium hydroxide (Ca(OH)2) typically exhibits low specific surface area and reactivity, significantly limiting its efficacy in industrial gas–solid reactions such as flue gas desulfurization and thermochemical energy storage. To address these limitations, this study proposes a two-stage synthesis strategy designed [...] Read more.
Traditional calcium hydroxide (Ca(OH)2) typically exhibits low specific surface area and reactivity, significantly limiting its efficacy in industrial gas–solid reactions such as flue gas desulfurization and thermochemical energy storage. To address these limitations, this study proposes a two-stage synthesis strategy designed to enhance the surface properties and chemical activity of Ca(OH)2. The process involves the preparation of high-activity calcium oxide (CaO), followed by controlled hydration using diethylene glycol (DEG). Drawing on established mechanisms from cement chemistry, wherein potassium ions (K+) catalyze the decomposition of calcium carbonate (CaCO3), limestone particles (10–20 mm) were pre-soaked in a 0.1 mol/L potassium nitrate (KNO3) solution for 48 h prior to calcination. Characterization via X-ray diffraction (XRD), scanning electron microscopy (SEM), and Blaine Air Permeability Method analysis revealed that this pretreatment accelerated decomposition kinetics by inducing surface defects, yielding CaO with a maximum reactivity of 435.7 mL. Subsequent hydration at 80 °C with 70 wt% DEG effectively suppressed particle agglomeration and promoted the formation of thin platelet structures. The resulting Ca(OH)2 achieved a utilization efficiency of 98.5% and a specific surface area of 43.24 m2/g, demonstrating a robust technical route for fabricating high-performance calcium-based sorbents for environmental and energy applications. Full article
(This article belongs to the Special Issue Advances in Hydration Chemistry for Low-Carbon Cementitious Materials)
31 pages, 927 KB  
Article
Substantiated vs. Vague Circular Economy Claims in Fashion Brands: Claim Support Credibility, Authenticity, and Trust in Greece vs. the UK
by Stefanos Balaskas, Ioanna Yfantidou and Dimitra Skandali
Sustainability 2026, 18(6), 2869; https://doi.org/10.3390/su18062869 (registering DOI) - 14 Mar 2026
Abstract
Circular economy (CE) claims in fashion aim to mobilize consumer participation in reuse and recycling, yet the interpretative flexibility of “circular” language can also enable vague messaging and skepticism. This study investigates how consumers assess CE fashion claims in terms of (a) claim [...] Read more.
Circular economy (CE) claims in fashion aim to mobilize consumer participation in reuse and recycling, yet the interpretative flexibility of “circular” language can also enable vague messaging and skepticism. This study investigates how consumers assess CE fashion claims in terms of (a) claim substantiation quality (CSQ) and (b) claim support credibility (CSC), and how these assessments influence perceived green authenticity (PGA), green trust (GTR), and circular purchase intention (CPI) in Greece and the United Kingdom. A cross-national online stimulus-based survey utilizing standardized e-commerce product-card claims for a fictitious circular fashion brand gathered data from Greece (n = 640) and the UK (n = 572). PLS-SEM and multi-group analysis evaluated a model distinguishing CSQ and CSC as complementary message properties. In the overall sample, both CSQ and CSC exhibited a positive correlation with CPI, whereas PGA and GTR emerged as the most significant proximal predictors, with authenticity demonstrating the most substantial impact. Indirect-effect tests showed that CSQ affected CPI through both authenticity and trust. On the other hand, CSC was only effective through authenticity, and there was no clear pathway for CSC trust intention. The multi-group results also showed context sensitivity: Greece exhibited a stronger trust-based path to intention, while the UK had a stronger authenticity-based path to intention. Overall, the results support a dual-route theory of CE claim persuasion. Additionally, they suggest that effective CE fashion communication should combine clear, specific content with credible, externally checkable support cues. Full article
(This article belongs to the Special Issue Enterprise Operation and Innovation Management Sustainability)
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25 pages, 1509 KB  
Article
Solving Bilevel Multi-Robot Cooperative Path Planning Problems via a Memetic Framework
by Zhixin Wang, Shi Cheng, Yifei Sun, Sicheng Hou and Mingming Zhang
Symmetry 2026, 18(3), 499; https://doi.org/10.3390/sym18030499 (registering DOI) - 14 Mar 2026
Abstract
With the increasing use of multi-robot systems in emergency scenarios, collaborative path planning for robots has attracted greater attention. The multi-robot path-planning problem was modeled as a bilevel cooperative path planning model and solved using a memetic algorithm with a dynamic window approach [...] Read more.
With the increasing use of multi-robot systems in emergency scenarios, collaborative path planning for robots has attracted greater attention. The multi-robot path-planning problem was modeled as a bilevel cooperative path planning model and solved using a memetic algorithm with a dynamic window approach and a parking scheduling strategy (MA-DWAPSS). The bilevel path planning model has divided the problem into two parts: global (static) path planning to find a near-optimal route and dynamic path planning to avoid path conflicts. Corresponding to the proposed MA-DWAPSS method, an improved memetic algorithm was developed based on genetic algorithm to find an optimal global path and a cubic Bézier curve to smooth the path and avoid sharp turns. The dynamic window approach (DWA) and parking scheduling strategy (PSS) obtain real-time sensor data and coordinate the docking and movement of robots in dynamic environments, handling obstacles in real time and preventing conflicts or unnecessary stops to improve efficiency. DWA further accounts for the dynamic characteristics of robot motion, making the path planning flexible and adaptive to rapid environmental changes. Simulation results show that the proposed method outperforms three other algorithms in path distance, time, obstacle avoidance, and smoothness. Full article
23 pages, 3027 KB  
Article
Enhancing Access to Cancer Diagnostics with Drone Delivery of PET Isotopes: The Significance of Weather and Clinical Workflows
by Karl Arne Johannessen, Paul G. Royall, Anders Mjøs, Thor Audun Saga and Mona-Elisabeth R. Revheim
Drones 2026, 10(3), 202; https://doi.org/10.3390/drones10030202 - 13 Mar 2026
Abstract
The short half-life of positron emission tomography (PET) radioisotopes makes transport time a critical factor in medical logistics. While drones have demonstrated advantages in short-range medical deliveries, the feasibility and benefits of long-distance drone transport remain largely unexplored. In a comparative simulation-based modelling [...] Read more.
The short half-life of positron emission tomography (PET) radioisotopes makes transport time a critical factor in medical logistics. While drones have demonstrated advantages in short-range medical deliveries, the feasibility and benefits of long-distance drone transport remain largely unexplored. In a comparative simulation-based modelling framework, this study explores whether long-range drone transport (117–376 km) can improve delivery performance of fluorodeoxyglucose-18 ([18F]FDG) PET isotopes compared with two existing ground-only routes (146 km and 348 km) and two combined car–airplane routes (532 km and 546 km). Simulated transport times, radioactive decay losses, and economic implications were estimated using drone speeds of 150, 200, and 250 km/h. Hourly weather data from 2023–2024 were incorporated to model flight feasibility and weather-related no-fly conditions. Time savings were translated into preserved radioactive activity and analyzed together with break-even transport costs. A drone speed of 150 km/h provided limited benefit, whereas speeds of 200–250 km/h preserved activity corresponding to a reduction from the current total use of 118 GBq to 72 and 65 GBq, respectively. Weather constraints reduced feasible winter flights by up to 30%. Estimated break-even drone costs ranged from EUR 3–18/km and increased to EUR 14–20/km when accounting for preserved isotopes, corresponding to annual economic gains of EUR 1.0–1.7 million. These results suggest that long-range drone transport could reduce isotope losses and improve diagnostic capacity, although feasibility depends on drone costs, weather resilience, and integration into clinical logistics systems. Full article
(This article belongs to the Special Issue Advances in Drone Applications for Last-Mile Delivery Operations)
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17 pages, 1880 KB  
Article
A Two-Stage Hybrid Bioleaching Process for Selective Copper Extraction from Low-Grade, High-Arsenic Enargite Concentrates
by Jiehua Hu, Guidi Yang, Yue Qiu, Wenbin Xu, Binze Shao, Jiao Li, Yuhan Wang, Yixuan Cheng and Haibin He
Processes 2026, 14(6), 923; https://doi.org/10.3390/pr14060923 - 13 Mar 2026
Abstract
This study addresses the dual challenges of low copper recovery and persistent arsenic pollution in the bioleaching of low-grade, high-arsenic copper ores containing enargite (Cu3AsS4). Through integrated electrochemical, chemical, and biological investigations, a selective and environmentally sustainable two-stage hybrid [...] Read more.
This study addresses the dual challenges of low copper recovery and persistent arsenic pollution in the bioleaching of low-grade, high-arsenic copper ores containing enargite (Cu3AsS4). Through integrated electrochemical, chemical, and biological investigations, a selective and environmentally sustainable two-stage hybrid leaching process was developed. Electrochemical analysis identified a critical oxidation threshold of ~750 mV governing enargite dissolution. Chemical leaching and X-ray Photoelectron Spectroscopy (XPS) analysis revealed a temperature-dependent sulfur transformation pathway, enabling a staged thermal strategy: flotation below 40 °C to maximize hydrophobic elemental sulfur (S0) formation, and bioleaching at 40–55 °C to promote complete sulfur oxidation to sulfate. Optimization produced a two-stage process comprising 10-day chemical pre-leaching with FeSO4 (10.0 g/L Fe2+) followed by bioleaching, achieving 78.3% copper extraction while suppressing arsenic dissolution to approximately 10%. The use of FeSO4 instead of Fe2(SO4)3 reduces reagent costs by ~70%, saving an estimated CNY 47,250 daily at 1000 t/d scale. Leaching toxicity tests confirm residue As < 0.10 mg/L, meeting non-hazardous waste standards (GB5085.3-2007). This work provides the first integrated demonstration of electrochemical threshold control combined with temperature-dependent sulfur speciation for selective copper extraction from arsenic-bearing enargite ores, offering a scalable, reagent-economical, and environmentally sustainable metallurgical route. Full article
(This article belongs to the Section Environmental and Green Processes)
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32 pages, 1044 KB  
Review
Chemical Modification of Cellulose Fibers for Sustainable Food Packaging: Structure–Property–Sustainability Relationships
by Marcin H. Kudzin, Zdzisława Mrozińska, Jerzy J. Chruściel, Joanna Olczyk, Monika Sikora, Edyta Sulak and Anetta Walawska
Materials 2026, 19(6), 1124; https://doi.org/10.3390/ma19061124 - 13 Mar 2026
Abstract
Cellulose fibers offer renewable sourcing and an established recycling infrastructure for food packaging applications. Their hydroxyl groups bind water strongly, which causes dimensional instability and compromises barrier performance at elevated humidity. Chemical modification targets this limitation through controlled changes to hydroxyl reactivity, surface [...] Read more.
Cellulose fibers offer renewable sourcing and an established recycling infrastructure for food packaging applications. Their hydroxyl groups bind water strongly, which causes dimensional instability and compromises barrier performance at elevated humidity. Chemical modification targets this limitation through controlled changes to hydroxyl reactivity, surface charge, and interfiber hydrogen bonding. This review covers four principal covalent modification routes: esterification, etherification, phosphorylation, and oxidative functionalization. The spatial localization of functional groups—surface-enriched versus bulk modification—is treated as a cross-cutting analytical parameter governing the translation of molecular chemistry into barrier performance, mechanical behavior, and recyclability. We emphasize how molecular parameters (degree of substitution (DS), charge density, and the spatial distribution of functional groups) translate into barrier properties, mechanical performance, and grease resistance under realistic service conditions. Two practical constraints define the design space. Bulk modifications that penetrate the fiber wall can release reagents or by-products into food (non-intentionally added substances, NIASs), whereas surface-confined chemistry reduces this risk substantially. Modifications that resist repulping or introduce persistent contaminants damage recyclability. Life cycle impacts often derive more from processing steps (mechanical fibrillation, solvent use, and multi-stage washing) than from feedstock selection. We focus on three deployment-relevant outcomes: performance retention above 75% relative humidity, migration risk under food contact regulations, and compatibility with industrial fiber recycling. The aim is to identify strategies that can move from laboratory demonstration to production-scale implementation. Full article
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27 pages, 919 KB  
Article
A Mixed-Integer Linear Programming Framework for Multi-Period Offshore Wind Personnel Logistics: Integrating Routing, Scheduling, and Personnel Inventory Management
by Yunxiang Shu, Yu Guo, Yuquan Du and Shuaian Wang
Mathematics 2026, 14(6), 978; https://doi.org/10.3390/math14060978 - 13 Mar 2026
Abstract
The offshore wind energy sector faces significant logistics costs due to complex maritime environments. This study addresses the multi-period Crew Transfer Vessel routing within offshore wind farms and scheduling problems through a novel mixed-integer linear programming framework. The model integrates personnel inventory management [...] Read more.
The offshore wind energy sector faces significant logistics costs due to complex maritime environments. This study addresses the multi-period Crew Transfer Vessel routing within offshore wind farms and scheduling problems through a novel mixed-integer linear programming framework. The model integrates personnel inventory management with dynamic service times. It determines optimal routing and scheduling plans to minimise total operational costs. Numerical experiments demonstrate the effectiveness of the approach. The results indicate that increasing vessel capacity from 8 to 20 reduces total expenses by approximately 80%. Moreover, shifting from single-trip to multi-trip operations decreases fixed charter costs by 30%. The computational performance is efficient, and the solver achieves optimal solutions within an average of 5.67 s. This framework provides operators with precise decision support for complex offshore wind farm maintenance scenarios. Full article
(This article belongs to the Special Issue Mathematics Applied to Manufacturing and Logistics Systems)
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41 pages, 21956 KB  
Article
Sustainable ZnO/Zn3(PO4)2 Nanoparticles Synthesized from Coconut-Derived Media Incorporated into Bioactive ALG/PVA Hydrogel Dressings
by Alexandra Cătălina Bîrcă, Alexandra Cristina Burdușel, Adelina-Gabriela Niculescu, Carmen Curuțiu, Alina Maria Holban, Alexandru Mihai Grumezescu, Ariana Hudiță, Bianca Gălățeanu, Bogdan Severus Gaspar and Alfred Najm
Gels 2026, 12(3), 243; https://doi.org/10.3390/gels12030243 - 13 Mar 2026
Abstract
The adaptive nature of bacteria and their increasing resistance to conventional therapies demand alternative strategies to effectively control wound infections. At the wound site, dynamic biological processes are easily disrupted by microbial colonization, compromising normal healing. In this study, Zn-based nanoparticles composed of [...] Read more.
The adaptive nature of bacteria and their increasing resistance to conventional therapies demand alternative strategies to effectively control wound infections. At the wound site, dynamic biological processes are easily disrupted by microbial colonization, compromising normal healing. In this study, Zn-based nanoparticles composed of zinc oxide (ZnO) and zinc phosphate (Zn3(PO4)2) were synthesized via a green route using coconut milk and coconut water as biological media. Although ZnO formation via zinc hydroxide intermediates was initially targeted, structural analyses revealed a multiphase Zn-based system resulting from interactions between Zn2+ ions and naturally occurring phosphate species in the coconut-derived sources. The resulting material was incorporated into sodium alginate/poly(vinyl alcohol) hydrogel dressings, further enhanced with spirulina and aronia powders. Physicochemical characterization (XRD, SEM, EDS, FTIR), along with swelling and degradation studies, confirmed structural stability and appropriate hydrogel behavior. Antimicrobial testing against Staphylococcus aureus and Escherichia coli demonstrated a dominant antibiofilm effect of the Zn-based nanoparticles, while botanical additives exhibited moderate, time-dependent activity. Biological evaluation demonstrated good cytocompatibility toward human keratinocytes and murine macrophages, with botanical additives mitigating mild nanoparticle-induced cellular responses. Full article
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14 pages, 2029 KB  
Article
Evaluation of an Effective Intradermal Foot-and-Mouth Disease Vaccine for Early Protection
by Dong-Wan Kim, Seo-Yong Lee, Tae-Jun Kim, Hyejin Kim, Ji-Hyeon Hwang, Sun Young Park, Young-Joon Ko, Yoon-Hee Lee, Jong-Hyeon Park and Sung-Han Park
Vaccines 2026, 14(3), 263; https://doi.org/10.3390/vaccines14030263 - 13 Mar 2026
Abstract
Background: In South Korea, foot-and-mouth disease (FMD), a highly contagious viral infection that affects cloven-hoofed animals, has led to the implementation of a bivalent FMD vaccination program. The current FMD vaccination strategy involves intramuscular (IM) administration to the shoulder region of the swine. [...] Read more.
Background: In South Korea, foot-and-mouth disease (FMD), a highly contagious viral infection that affects cloven-hoofed animals, has led to the implementation of a bivalent FMD vaccination program. The current FMD vaccination strategy involves intramuscular (IM) administration to the shoulder region of the swine. However, this method is associated with adverse reactions at injection sites. Our previous studies have demonstrated that intradermal (ID) vaccination eliminates these side effects while maintaining immunogenicity comparable to that of IM vaccination. This study aimed to assess the early immune response induced by ID vaccination and compare its protective ability against FMDV serotype O with that of a commercial IM vaccine recently used in South Korea. Methods: An ID FMD vaccine was evaluated using two adjuvants, ISA 207 (50%) and EMULSIGEN-D (15%). Virus neutralization (VN) titers and structural protein levels were measured to compare efficacy across groups. To assess the early protective efficacy of ID vaccination, viral challenge experiments were conducted at 7 and 14 days post-vaccination (dpv). Results: Swine vaccinated via the ID route exhibited no clinical symptoms at 14 dpv, indicating effective early protection against FMD (O/AS/SKR/2019). In addition, no side effects of FMD ID vaccination were observed. Conclusions: These results suggest that ID vaccination could serve as a viable alternative to conventional IM vaccination, which is frequently associated with adverse effects. Importantly, this study demonstrates that ID vaccination can provide effective early protection within 7–14 days post-vaccination, highlighting its potential utility for emergency outbreak control. Full article
(This article belongs to the Section Veterinary Vaccines)
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30 pages, 26071 KB  
Article
A Multifunctional Therapeutic Platform: Ce/Zn/Sr-Doped Mesoporous Bioactive Glass Nanoparticles for Bone Repair
by Nattakan Sae-Sue, Wen-Ta Su, Poommaree Namchaiw, Kamolchanok Ngamkham, Nattida Suwanakitti and Parichart Naruphontjirakul
Int. J. Mol. Sci. 2026, 27(6), 2640; https://doi.org/10.3390/ijms27062640 - 13 Mar 2026
Abstract
Mesoporous bioactive glass nanoparticles (MBGNs) are promising for bone tissue engineering; however, surgical site infection and oxidative stress often compromise regeneration. To address this, MBGNs co-doped with cerium (Ce), zinc (Zn), and strontium (Sr) were synthesized using a microemulsion-assisted sol-gel route (xCe-yZn-Sr-MBGNs; x [...] Read more.
Mesoporous bioactive glass nanoparticles (MBGNs) are promising for bone tissue engineering; however, surgical site infection and oxidative stress often compromise regeneration. To address this, MBGNs co-doped with cerium (Ce), zinc (Zn), and strontium (Sr) were synthesized using a microemulsion-assisted sol-gel route (xCe-yZn-Sr-MBGNs; x = 0, 1, 2; y = 0, 0.5, 1). The resulting spherical nanoparticles (150–200 nm) exhibited a mesoporous structure with a specific surface area of (~340–425 m2/g), sustained ion release, and apatite formation in simulated body fluid. In vitro evaluations with MC3T3-E1 pre-osteoblasts demonstrated dose-dependent cytocompatibility, specifically in the co-doped formulations; however, higher Ce concentrations (2Ce-yZn-Sr-MBGNs) reduced viability following prolonged exposure. Crucially, the 1Ce-1Zn-Sr-MBGNs significantly enhanced osteogenic differentiation, as evidenced by a two-fold increase in osteogenic marker gene expression and a ~45% increase in calcium mineral deposition compared to undoped MBGNs within 14 days. Moreover, these particles accelerated cell migration, achieving ~70% scratch-wound closure within 24 h. Furthermore, 1Ce-1Zn-Sr-MBGNs displayed strong radical scavenging capacity and potent antibacterial activity against S. aureus and P. aeruginosa. These findings indicated that 1Ce-1Zn-Sr-MBGNs exhibited multiple therapeutic effects, including antibacterial, radical-scavenging, and osteogenic effects. By optimizing dopant ratios, these multifunctional nanomaterials emerge as promising candidates for next-generation bone grafts or implant coatings. Within the scope of this study, they demonstrated the capacity to simultaneously address three critical challenges in bone healing: controlling infection, mitigating oxidative stress, and promoting mineralized tissue formation. While these in vitro results provide a robust foundation, further in vivo validation is warranted to confirm their efficacy within complex physiological environments. Full article
(This article belongs to the Section Molecular Nanoscience)
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20 pages, 3544 KB  
Article
Study on the Construction and Performance Measurement of Tm2FeSbO7/BiYO3 Heterojunction Photocatalyst and the Photocatalytic Degradation of Sulfamethoxazole in Pharmaceutical Wastewater Under Visible Light Irradiation
by Jingfei Luan, Yu Cao, Jian Wang, Liang Hao, Anan Liu and Hengchang Zeng
Inorganics 2026, 14(3), 82; https://doi.org/10.3390/inorganics14030082 - 13 Mar 2026
Abstract
A novel catalyst, Tm2FeSbO7, was synthesized by employing the solid-phase high-temperature sintering method, and, for the first time, it was utilized to create a Z-type heterojunction with BiYO3. A direct Z-scheme Tm2FeSbO7/BiYO3 [...] Read more.
A novel catalyst, Tm2FeSbO7, was synthesized by employing the solid-phase high-temperature sintering method, and, for the first time, it was utilized to create a Z-type heterojunction with BiYO3. A direct Z-scheme Tm2FeSbO7/BiYO3 heterojunction photocatalyst (TBHP) was successfully produced by employing the ball-milling technique. X-ray diffraction analysis results indicated that Tm2FeSbO7 crystallized in a cubic pyrochlorestructure which owned the Fd-3m space group, with a unit cell parameter of 10.1769 Å, whereas BiYO3 displayed a fluorite structure in the Fm-3m space group, with a unit cell parameter of 5.4222 Å. The Mossbauer spectrum of Tm2FeSbO7 showed that Fe3+ ions might locate at octahedral sites. The measured bandgap widths for the TBHP, Tm2FeSbO7, and BiYO3 were 2.14 eV, 2.21 eV, and 2.30 eV, respectively. Multiple experimental results demonstrated that the TBHP exhibited a higher valence band ionization potential, a narrower band gap width, and a higher removal efficiency of the sulfamethoxazole (SMX) compared with the Dy2TmSbO7/BiHoO3 heterojunction photocatalyst. Under visible-light irradiation (VISLI) of 115 min, the TBHP showcased exceptional photocatalytic elimination performance; therefore, the elimination rate of the SMX and the total organic carbon (TOC) mineralization rate reached 99.51% and 98.10%, respectively. In contrast to single-component Tm2FeSbO7, BiYO3, or conventional nitrogen-doped titanium dioxide (N-TiO2) catalyst, the TBHP exhibited removal efficiency enhancement for degrading the SMX by 1.17 times, 1.31 times, or 4.06 times. Simultaneously, the matching mineralization rate for removing the TOC density by employing the TBHP was 1.20 times, 1.34 times, or 4.73 times higher than that by employing Tm2FeSbO7, BiYO3, or conventional N-TiO2. Above experimental results indicated that the mineralization efficiency for removing TOC density by employing the TBHP was higher than that by employing Tm2FeSbO7, BiYO3, or N-TiO2. Radicals trapping experiments and the electron paramagnetic resonance spectroscopy results revealed that hydroxyl radicals, superoxide anions, and photoinduced holes were the primary active species during the catalytic elimination course of the SMX by employing the TBHP under VISLI. The results demonstrated that the direct Z-scheme TBHP, which was developed in this study, exhibited the maximal removal efficiency for degrading the SMX in contrast to Tm2FeSbO7, BiYO3, or N-TiO2. Additionally, the possible elimination routes and elimination mechanisms of the SMX were proposed. Therefore, an important scientific foundation for developing high-performance heterojunction catalysts was established. Full article
(This article belongs to the Special Issue Metal-Based Photocatalysts: From Synthesis to Applications)
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20 pages, 1965 KB  
Article
APF-Driven Lightweight UAV Swarm Trajectory Optimization in GNSS-Denied Air–Terrestrial Navigation
by Ruocheng Guo, Hong Yuan, Xiao Chen and Wen Li
Electronics 2026, 15(6), 1207; https://doi.org/10.3390/electronics15061207 - 13 Mar 2026
Abstract
To enable autonomous route planning for UAV swarms in dynamic air–terrestrial cooperative navigation scenarios within GNSS-denied environments, this paper proposes a lightweight framework based on the Artificial Potential Field (APF) method. In the considered architecture, UAVs act as mobile transit navigation nodes that [...] Read more.
To enable autonomous route planning for UAV swarms in dynamic air–terrestrial cooperative navigation scenarios within GNSS-denied environments, this paper proposes a lightweight framework based on the Artificial Potential Field (APF) method. In the considered architecture, UAVs act as mobile transit navigation nodes that relay positioning information from sparse ground anchors to terrestrial users. For TOA-based cooperative positioning, the instantaneous geometric configuration of the UAV swarm significantly affects the overall system accuracy. Therefore, the impact of UAV positions on the end-to-end navigation performance is rigorously analyzed, yielding a comprehensive Dilution of Precision (DOP) matrix for the entire air–terrestrial system. By applying the Schur complement, the global performance metric is decomposed, resulting in a scalar evaluation function that directly reflects the geometric quality of the configuration. In practical scenarios involving dynamic and heterogeneous users, real-time trajectory adaptation of the UAV swarm is essential to continuously optimize user positioning accuracy. To this end, an APF-based autonomous joint route planning approach is developed. The potential field is constructed directly from the derived geometric evaluation model, where its negative gradient generates virtual forces that autonomously guide the UAV swarm. This elegantly bridges high-level navigation performance optimization with low-level motion control of the swarm. The simulation results show a 76.1% improvement in the average comprehensive GDOP for users compared to the baseline of hovering UAVs, validating the effectiveness and real-time capability of the proposed lightweight framework. Full article
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30 pages, 924 KB  
Review
Immunosensors and Immunoassays to Detect Francisella tularensis and Diagnose Tularemia
by Miroslav Pohanka
Biosensors 2026, 16(3), 158; https://doi.org/10.3390/bios16030158 - 13 Mar 2026
Abstract
Francisella tularensis, the causative agent of tularemia, is a highly infectious Category A biothreat agent characterized by an exceptionally low infectious dose and diverse transmission routes. Due to the pathogen’s fastidious growth requirements and the high risk of laboratory-acquired infections, traditional cultivation [...] Read more.
Francisella tularensis, the causative agent of tularemia, is a highly infectious Category A biothreat agent characterized by an exceptionally low infectious dose and diverse transmission routes. Due to the pathogen’s fastidious growth requirements and the high risk of laboratory-acquired infections, traditional cultivation methods are often protracted and hazardous. Consequently, the development of rapid and sensitive diagnostic tools is paramount. This manuscript provides a comprehensive overview of the current landscape of immunoassays, with a specific focus on the evolution from standard laboratory techniques to advanced biosensors. We detail the critical phases of antigen preparation, including high-pressure homogenization and sonication, and the generation of high-affinity polyclonal and monoclonal antibodies. Furthermore, we evaluate the implementation of novel biosensor-like devices, such as electrochemiluminescence and Surface-Enhanced Raman Scattering platforms, designed for point-of-care and field-ready scenarios. By synthesizing recent advancements in nanomaterial-enhanced recognition and microfluidic integration, this review emphasizes the pivotal role of these technologies in achieving early detection and mitigating the impact of both natural outbreaks and potential deliberate misuse of F. tularensis. Full article
(This article belongs to the Section Biosensor and Bioelectronic Devices)
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