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17 pages, 5202 KiB  
Article
The Effect of Boron Oxide on the Structures and Thermal Properties of Phosophosilicate Bioactive Glasses for Metallic Implants’ Coatings
by Joy-anne N. Oliver, Wenqing Xie, Jincheng Du and Melanie Ecker
Appl. Sci. 2025, 15(3), 1293; https://doi.org/10.3390/app15031293 (registering DOI) - 27 Jan 2025
Abstract
To design bioactive glass compositions with optimal thermal, mechanical, and bioactive properties as coatings on Ti6Al4V metallic implants, we investigated phosphosilicate bioactive glasses based on the 6P55 composition. SiO2 was substituted with B2O3 to improve adhesion to the metallic [...] Read more.
To design bioactive glass compositions with optimal thermal, mechanical, and bioactive properties as coatings on Ti6Al4V metallic implants, we investigated phosphosilicate bioactive glasses based on the 6P55 composition. SiO2 was substituted with B2O3 to improve adhesion to the metallic implants and physical properties. This substitution significantly altered the glass structure and is hypothesized to improve adhesion. Computational and experimental methods revealed that boron substitution introduced BO3 and BO4 units, disrupted the Si-O network, and formed non-bridging oxygens (NBOs), resulting in a decrease in density and glass transition temperature (Tg). These changes were attributed to boron’s dual role as a network former and modifier, influencing coordination environments and connectivity. Thermal and structural analyses showed that optimal boron levels improved thermal expansion and network flexibility, which are critical for coating applications. By integrating molecular dynamics simulations and experimental techniques, this study provides valuable insights into tailoring glass compositions for enhanced performance on metallic substrates. Full article
(This article belongs to the Section Applied Biosciences and Bioengineering)
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Figure 1

Figure 1
<p>Schematic of glass preparation process followed by thermal and physical analysis.</p>
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<p>(<b>Left</b>) 1 × 1 unit cell displaying bonds within the 5B glass composition structure obtained from MD simulation at 300 K. (<b>Right</b>) Microscopic view of unit cell indicating various bonds present within the glass tetrahedra.</p>
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<p>Bond angle distribution obtained from MD simulation at 300 K (<b>left</b>). The insert is the gauss fitting for 6P55-5B, the fitted peaks are assigned to <sup>IV</sup>B and <sup>III</sup>B, as seen in the enlarged figure. Boron coordination per composition for the entire series in study and (<b>right</b>) bond angle distribution graph of O-Si-O bonding for entire composition series.</p>
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<p>Differential scanning calorimetry (DSC) of glass composition series with indicated <span class="html-italic">T</span><sub>g</sub> and the trend compared to the density.</p>
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<p>(<b>a</b>) Bar graph indicating the volume of O<sub>2</sub><sup>−</sup> atoms (in percent) in each glass series system per total population of atoms within the computed system. The amount of atoms are displayed in accordance with their coordination number, and the atoms are identified by color based on their composition. A coordination number of 1 represents the volume of non-bridging oxygens (NBOs) in the system while a coordination number of 2 represents bridging oxygens (BOs) within the system. Computed main coordination number distribution of the number of non-bonding and bonding oxygen atoms is based on their boron concentration. (<b>b</b>) Effect of boron substitution on the coordination number for MD simulation of glass compositions 6P55-0B to 6P55-15B at 300 K. Please note that the coordination numbers 1, 2, 5 and 6 are identical and perfectly aligned, appearing as a single curve when overlaid under 6 (yellow). (<b>c</b>) Plot of oxygen packing density as a function of B<sub>2</sub>O<sub>3</sub> substitution from both computational and experimental outcomes. (<b>d</b>) Plot showing the variation of molar volume, <span class="html-italic">V</span><sub>m</sub>, with B<sub>2</sub>O<sub>3</sub> substitution throughout the glass composition series.</p>
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<p>Effect of boron substitution on the <span class="html-italic">Q</span><sup>n</sup> species of (<b>a</b>) boron ions and (<b>b</b>) silicon ions for MD-simulated glass composition series 6P55-0B to 6P55-15B at 300 K. Please note that Q<sup>5</sup> and Q<sup>6</sup> are identical and perfectly aligned, appearing as a single curve when overlaid.</p>
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<p>The percent connectivity trend of the Si-O-Si, B-O-B, and Si-O-B bonds within the glass tetrahedra due to the increased boron substitution (mol%) obtained from MD computational simulation at 300 K.</p>
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<p>Graph of change in volume versus temperature change in Kelvin for glass composition series. Data were accumulated from computational MD simulation where systems were annealed to 2000 K.</p>
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<p>Ring size distribution of glass series composition from computational MD simulation.</p>
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18 pages, 5352 KiB  
Article
Facile Synthesis of Bioactive Silver Nanocomposite Hydrogels with Electro-Conductive and Wound-Healing Properties
by Solaiman, Tahmina Foyez, Syed Abdul Monim, Aminur Rahman and Abu Bin Imran
Gels 2025, 11(2), 84; https://doi.org/10.3390/gels11020084 - 22 Jan 2025
Viewed by 749
Abstract
Bioactive metal and metal oxide-based nanocomposite hydrogels exhibit significant antibacterial properties by interacting with microbial DNA and preventing bacterial replication. They offer potential applications as coating materials for human or animal skin injuries to prevent microbial growth and promote healing. In this study, [...] Read more.
Bioactive metal and metal oxide-based nanocomposite hydrogels exhibit significant antibacterial properties by interacting with microbial DNA and preventing bacterial replication. They offer potential applications as coating materials for human or animal skin injuries to prevent microbial growth and promote healing. In this study, silver nanoparticles (AgNPs) were synthesized using a chemical reduction method and incorporated into a polymer network to fabricate silver nanocomposite hydrogels (AgNCHGs) through a simple free radical polymerization method. N-isopropylacrylamide (NIPA), which has lower critical solution temperature (LCST) at about body temperature, or acrylamide (AAm) was used as the main monomer, while one or more ionic co-monomers, such as acrylic acid (AAc) and 2-acrylamido-2-methylpropane sulfonic acid (AMPS), were incorporated to obtain AgNCHGs. AgNPs were introduced into the hydrogel network via three different approaches. In the first method, the synthesized hydrogel was immersed in a silver nitrate (AgNO3) solution and reduced in situ using sodium borohydride (NaBH4) as a reducing agent. The second method involved mixing AgNO3 with gel precursors before reduction with NaBH4 to form AgNPs within the hydrogel. The final approach synthesized the AgNCHGs directly in a dispersion of pre-fabricated AgNPs. The incorporation of AgNPs in different AgNCHGs was confirmed through various characterization techniques. Varying temperature and pH conditions can trigger the release of bioactive AgNPs from the hydrogels. Furthermore, the antimicrobial and wound-healing properties of the AgNCHGs were evaluated against bacteria and fungi, demonstrating their potential in biomedical applications. In addition, AgNCHGs exhibit excellent electrical conductivity. The electrical conductivity of the hydrogels can be finely tuned by adjusting the concentration of AgNPs, making these materials promising candidates for energy, sensor, and stretchable electronics applications. This study presents facile synthesis methods of AgNCHGs, which integrate bioactivity, wound healing, and electrical conductivity in the same matrix, addressing a significant challenge in designing multifunctional hydrogels for next-generation technologies. Full article
(This article belongs to the Special Issue Conductive Gels: Preparation, Properties and Applications)
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Figure 1
<p>(<b>a</b>) UV–Visible spectra of AgNPs colloidal solution and (<b>b</b>) hydrodynamic radius of AgNPs from dynamic light scattering.</p>
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<p>(<b>a</b>) Photographs of AAm-AAc-AMPS, AAm-AAc-AMPS@Ag<sup>+</sup>, and AAm-AAc-AMPS@Ag (R1) hydrogels and (<b>b</b>) UV–Visible spectra of Ag-free AAm-AAc-AMPS and (AAm-AAc-AMPS)@Ag hydrogels, synthesis via Route-1, Route-2, and Route-3.</p>
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<p>FE-SEM images of (<b>a</b>) AgNPs, (<b>b</b>) Ag-free hydrogel, (<b>c</b>) AAm-AAc-AMPS@Ag (R1), and (<b>d</b>) AAm-AAc-AMPS@Ag (R2).</p>
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<p>XRD spectra of Ag-free AAm-AAc-AMPS hydrogel, AAm-AAc-AMPS@Ag (R1), and AAm-AAc-AMPS@Ag (R2) AgNCHGs.</p>
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<p>Swelling ratio of Ag-free hydrogel and AgNCHGs hydrogels, (<b>a</b>) AAm-AAc-AMPS and AAm-AAc-AMPS@Ag hydrogels, (<b>b</b>) AAm-AAc and AAm-AAc@Ag hydrogels, and (<b>c</b>) NIPAm-AAc and NIPAm-AAc@Ag hydrogels.</p>
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<p>Qualitative and quantitative conductivity measurements of (<b>a</b>) Ag-free AAm-AAc hydrogel, (<b>b</b>) AAm-AAc@Ag<sup>+</sup> hydrogel, and (<b>c</b>) AAm-AAc@Ag (R1) AgNCHGs.</p>
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<p>(<b>a</b>) Nyquist plots featuring resistance of AAm-AAc hydrogel, AAm-AAc @0.1 M Ag<sup>+</sup>, AAm-AAc @0.5 M Ag<sup>+</sup>, AAm-AAc @1 M Ag<sup>+</sup>, AAm-AAc @1.5 M Ag<sup>+</sup>, and AAm-AAc @2 M Ag<sup>+</sup> hydrogel. (<b>b</b>) The Bode plot featuring resistance of AAm-AAc hydrogel, AAm-AAc @0.1 M Ag<sup>+</sup>, AAm-AAc @0.5 M Ag<sup>+</sup>, AAm-AAc @1 M Ag<sup>+</sup>, AAm-AAc @1.5 M Ag<sup>+</sup>, and AAm-AAc @2 M Ag<sup>+</sup> hydrogel. (<b>c</b>) Nyquist plots featuring resistance of AAm-AAc @0.1 M Ag AgNCHG, AAm-AAc @0.5 M Ag AgNCHG, AAm-AAc @1 M Ag AgNCHG, AAm-AAc @1.5 M Ag AgNCHG, and AAm-AAc @2 M Ag AgNCHG. (<b>d</b>) The Bode plot featuring resistance of AAm-AAc @0.1 M Ag AgNCHG, AAm-AAc @0.5 M Ag AgNCHG, AAm-AAc @1 M Ag AgNCHG, AAm-AAc @1.5 M Ag AgNCHG, and AAm-AAc @2 M Ag AgNCHG.</p>
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<p>Photographs of wound recovered with and without using AgNCHG after 3 days: (<b>a</b>) general appearance; (<b>b</b>) magnified appearance.</p>
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<p>Synthesis of AgNCHGs via three different routes.</p>
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25 pages, 19542 KiB  
Article
Preparation and Characterization of Mg-Based Biomaterials with Bioactive Surfaces Functionalized with EU/Gd NPs for Bone Tissue Regeneration Obtained via PEO Process
by Klaudia Kuźmiak, Łukasz Janus, Aleksandra Sierakowska-Byczek and Julia Radwan-Pragłowska
Coatings 2025, 15(2), 124; https://doi.org/10.3390/coatings15020124 - 21 Jan 2025
Viewed by 412
Abstract
This study aimed to develop a novel type of biodegradable magnesium (Mg)-based implant with enhanced biological activity through surface modification using plasma electrolytic oxidation (PEO) combined with the incorporation of rare earth ions (Eu and Gd). Magnesium is recognized for its lightweight nature, [...] Read more.
This study aimed to develop a novel type of biodegradable magnesium (Mg)-based implant with enhanced biological activity through surface modification using plasma electrolytic oxidation (PEO) combined with the incorporation of rare earth ions (Eu and Gd). Magnesium is recognized for its lightweight nature, biocompatibility, and bone-like mechanical properties, making it a promising alternative to titanium implants. Unlike titanium, Mg-based biomaterials can be safely used in pediatric surgery due to their ability to degrade naturally within the body. However, pure magnesium is highly reactive in physiological fluids, necessitating surface modifications to mitigate biocorrosion prior to clinical application. To address this challenge, the PEO process was employed, resulting in surface passivation and the formation of a protective coating. Experimental evaluations demonstrated reduced biodegradation rates and magnesium ion release, confirming the beneficial role of rare earth elements in decreasing reactivity. Wettability tests indicated high hydrophilicity, while scanning electron microscopy (SEM) revealed appropriate surface morphology and element deposition conducive to bone regeneration. Electrochemical analyses further validated the protective efficacy of the magnesium oxide layers enhanced with rare earth ions. Finally, in vitro cytotoxicity tests on the MG-63 osteosarcoma cell line confirmed the biocompatibility of the modified magnesium implants. Overall, this study highlights the potential of Mg-based biomaterials, modified through PEO and rare earth ion incorporation, for use in medical implants. Full article
(This article belongs to the Section Surface Coatings for Biomedicine and Bioengineering)
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<p>PEO process scheme.</p>
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<p>Wetting angle for magnesium implant without surface modification.</p>
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<p>General scheme of samples preparation and their potential applications.</p>
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<p>The pH values for each magnesium implant.</p>
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<p>Quantitative biodegradation assay: (<b>a</b>)—Amount of Magnesium ions released to SBF medium; (<b>b</b>)—Biodegradation degree.</p>
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<p>Biomaterial–host interactions after implementation.</p>
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<p>SEM images of the surface morphology of the Mg sample at 20,000× magnification: (<b>a</b>) before bioincubation, (<b>b</b>) after bioincubation.</p>
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<p>SEM-EDS images of the Mg sample surface, successively: (<b>a</b>) surface morphology before bioincubation—at 2500× magnification, (<b>b</b>) surface morphology after bioincubation—at 2500× magnification, (<b>c</b>)—elemental content before bioincubation, (<b>d</b>)—element content after bioincubation.</p>
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<p>SEM-EDS images of the Mg sample surface, successively: (<b>a</b>) surface morphology before bioincubation—at 2500× magnification, (<b>b</b>) surface morphology after bioincubation—at 2500× magnification, (<b>c</b>)—elemental content before bioincubation, (<b>d</b>)—element content after bioincubation.</p>
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<p>SEM images of the surface morphology of the Mg_01 sample at 20,000× magnification: (<b>a</b>) before bioincubation, (<b>b</b>) after bioincubation.</p>
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<p>SEM-EDS images of the Mg_01 sample surface, successively: (<b>a</b>) surface morphology before bioincubation—at 2500× magnification, (<b>b</b>) surface morphology after bioincubation—at 2500× magnification, (<b>c</b>)—elemental content before bioincubation, (<b>d</b>)—element content after bioincubation.</p>
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<p>SEM images of the surface morphology of the Mg_02 sample at 20,000× magnification: (<b>a</b>) before bioincubation, (<b>b</b>) after bioincubation.</p>
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<p>SEM-EDS images of the Mg_02 sample surface, successively: (<b>a</b>) surface morphology before bioincubation—at 2500× magnification, (<b>b</b>) surface morphology after bioincubation—at 2500× magnification, (<b>c</b>)—elemental content before bioincubation, (<b>d</b>)—element content after bioincubation.</p>
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<p>SEM images of the surface morphology of the Mg_03 sample at 20,000× magnification: (<b>a</b>) before bioincubation, (<b>b</b>) after bioincubation.</p>
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<p>SEM-EDS images of the Mg_03 sample surface, successively: (<b>a</b>) surface morphology before bioincubation—at 2500× magnification, (<b>b</b>) surface morphology after bioincubation—at 2500× magnification, (<b>c</b>)—elemental content before bioincubation, (<b>d</b>)—element content after bioincubation.</p>
Full article ">Figure 14 Cont.
<p>SEM-EDS images of the Mg_03 sample surface, successively: (<b>a</b>) surface morphology before bioincubation—at 2500× magnification, (<b>b</b>) surface morphology after bioincubation—at 2500× magnification, (<b>c</b>)—elemental content before bioincubation, (<b>d</b>)—element content after bioincubation.</p>
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<p>SEM images of the surface morphology of the Mg_04 sample at 20,000× magnification: (<b>a</b>) before bioincubation, (<b>b</b>) after bioincubation.</p>
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<p>SEM-EDS images of the Mg_04 sample surface, successively: (<b>a</b>) surface morphology before bioincubation—at 2500× magnification, (<b>b</b>) surface morphology after bioincubation—at 2500× magnification, (<b>c</b>)—elemental content before bioincubation, (<b>d</b>)—element content after bioincubation.</p>
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<p>SEM images of the surface morphology of the Mg_05 sample at 20,000× magnification: (<b>a</b>) before bioincubation, (<b>b</b>) after bioincubation.</p>
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<p>SEM-EDS images of the Mg_05 sample surface, successively: (<b>a</b>) surface morphology before bioincubation—at 2500× magnification, (<b>b</b>) surface morphology after bioincubation—at 2500× magnification, (<b>c</b>)—elemental content before bioincubation, (<b>d</b>)—element content after bioincubation.</p>
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<p>Dependence of the current intensity on the potential of the working electrode/dependence of the current density on the potential applied to the working electrode (marked: blue color for the sample before bioincubation, orange color for the sample after bioincubation), respectively, sample: (<b>a</b>)—Mg, (<b>b</b>)—Mg_01, (<b>c</b>)—Mg_02, (<b>d</b>)—Mg_03, (<b>e</b>)—Mg_04, (<b>f</b>)—Mg_05.</p>
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<p>Summary of obtained graphs of the dependence of current density on potential, before and after corrosion—sample after PEO modification (orange), sample after PEO modification and ultrasound with europium ions (blue), and sample after PEO modification and ultrasound with gadolinium ions (gray).</p>
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<p>Photographs of cells in the presence of selected samples, respectively: Mg_01, Mg_02, Mg_04, control sample (×40).</p>
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<p>Possible future applications.</p>
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38 pages, 27263 KiB  
Review
Developments in Dental Implant Surface Modification
by Bożena Łosiewicz, Patrycja Osak, Delfina Nowińska and Joanna Maszybrocka
Coatings 2025, 15(1), 109; https://doi.org/10.3390/coatings15010109 - 19 Jan 2025
Viewed by 449
Abstract
The development of dental implants has significantly advanced due to technological innovations aimed at improving their performance and patient outcomes. This work presents key factors influencing the success of dental implants, including osseointegration, which is the direct connection between living bone and the [...] Read more.
The development of dental implants has significantly advanced due to technological innovations aimed at improving their performance and patient outcomes. This work presents key factors influencing the success of dental implants, including osseointegration, which is the direct connection between living bone and the implant surface, and the various surface modifications that enhance this process. This review highlights the importance of surface roughness, chemical composition, and the use of bioactive coatings to promote better integration with surrounding bone tissue. Innovations such as nanotechnology, 3D printing, and smart surfaces are paving the way for more effective and personalized dental implant solutions. This review underscores the importance of ongoing research and development to improve success rates, enhance patient comfort, and reduce healing times. It focuses on creating cost-effective, reliable methods that integrate multiple functions, such as combining antibacterial and osteoconductive properties to improve overall implant performance. Full article
(This article belongs to the Special Issue Ceramic and Metallic Biomaterials. Application in Medical Sciences)
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Figure 1
<p>The number of publications on dental implant surface modifications indexed in the Scopus database from 1975 to 2024 (collected on 28 October 2024).</p>
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<p>Osseointegration process of titanium dental implant 3, 7, 14, and 21 days after implantation in mice [<a href="#B94-coatings-15-00109" class="html-bibr">94</a>].</p>
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<p>(<b>a</b>) Machined WINSIX dental implant by BioSAF IN [<a href="#B133-coatings-15-00109" class="html-bibr">133</a>]; (<b>b</b>,<b>c</b>) SEM image of a titanium implant with machined surface [<a href="#B134-coatings-15-00109" class="html-bibr">134</a>].</p>
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<p>(<b>a</b>) IMZ Original dental implant by Spotimplant [<a href="#B148-coatings-15-00109" class="html-bibr">148</a>]; (<b>b</b>,<b>c</b>) SEM image of a titanium implant with a TPS surface after 9 years of implant production, with a typical structure resembling molten metal splashes [<a href="#B149-coatings-15-00109" class="html-bibr">149</a>].</p>
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<p>(<b>a</b>) Sandblasted Prima Plus 4.1 dental implant by Lifecore Dental [<a href="#B165-coatings-15-00109" class="html-bibr">165</a>]; (<b>b</b>,<b>c</b>) SEM image of a titanium implant with a sandblasted surface [<a href="#B134-coatings-15-00109" class="html-bibr">134</a>].</p>
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<p>(<b>a</b>) Dental implant type 3i T3 by BIOMET 3i [<a href="#B178-coatings-15-00109" class="html-bibr">178</a>]; (<b>b</b>,<b>c</b>) SEM image of a titanium implant with HA surface [<a href="#B162-coatings-15-00109" class="html-bibr">162</a>].</p>
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<p>(<b>a</b>) The Osseotite dental implant system from Biomet 3i [<a href="#B187-coatings-15-00109" class="html-bibr">187</a>]; (<b>b</b>) SEM image of the Osseotite titanium implant with DE surface at 20,000× magnification [<a href="#B188-coatings-15-00109" class="html-bibr">188</a>]; (<b>c</b>) enhanced microscopy image of the Osseotite surface showing platelet activation [<a href="#B189-coatings-15-00109" class="html-bibr">189</a>].</p>
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<p>(<b>a</b>) Dental implant of the Standard Implants type with SLA surface by Straumann Institute [<a href="#B198-coatings-15-00109" class="html-bibr">198</a>]; (<b>b</b>,<b>c</b>) SEM image of a titanium implant with SLA surface [<a href="#B134-coatings-15-00109" class="html-bibr">134</a>].</p>
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<p>(<b>a</b>) Demonstration of the ultrahydrophobic properties of SLA surface and the superhydrophilic properties of SLActive surface. (<b>b</b>) Immersion of dental implants with SLA and SLActive surfaces in water. (<b>c</b>) Implant stability after implantation, with reduction in stability combined with gradual increase in secondary stability leading to a decline in overall stability (stability dip) during the period between weeks 2 and 4. (<b>d</b>) Acceleration of osseointegration between weeks 2 and 4 as a result of using an implant with SLActive surface [<a href="#B207-coatings-15-00109" class="html-bibr">207</a>].</p>
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<p>(<b>a</b>) Demonstration of the ultrahydrophobic properties of SLA surface and the superhydrophilic properties of SLActive surface. (<b>b</b>) Immersion of dental implants with SLA and SLActive surfaces in water. (<b>c</b>) Implant stability after implantation, with reduction in stability combined with gradual increase in secondary stability leading to a decline in overall stability (stability dip) during the period between weeks 2 and 4. (<b>d</b>) Acceleration of osseointegration between weeks 2 and 4 as a result of using an implant with SLActive surface [<a href="#B207-coatings-15-00109" class="html-bibr">207</a>].</p>
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<p>(<b>a</b>) Dental implant with Straumann<sup>®</sup> SLActive<sup>®</sup> surface (Basel, Switzerland) [<a href="#B209-coatings-15-00109" class="html-bibr">209</a>]; (<b>b</b>) SEM image of Roxolid<sup>®</sup> SLA<sup>®</sup> surface [<a href="#B210-coatings-15-00109" class="html-bibr">210</a>]; (<b>c</b>) SEM image of Roxolid<sup>®</sup> SLActive<sup>®</sup> surface [<a href="#B210-coatings-15-00109" class="html-bibr">210</a>]; (<b>d</b>) SEM image of Roxolid<sup>®</sup> SLActive<sup>®</sup> surface without nanostructures [<a href="#B211-coatings-15-00109" class="html-bibr">211</a>]; (<b>e</b>) SEM image of Roxolid<sup>®</sup> SLActive<sup>®</sup> surface with nanostructures [<a href="#B211-coatings-15-00109" class="html-bibr">211</a>].</p>
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<p>(<b>a</b>) TiUnite<sup>®</sup> Dental Implant by Nobel Biocare [<a href="#B220-coatings-15-00109" class="html-bibr">220</a>]; (<b>b</b>) SEM image of the anodized TiUnite<sup>®</sup> implant with a porous surface [<a href="#B134-coatings-15-00109" class="html-bibr">134</a>]; (<b>c</b>) hemostasis by the newly formed fibrin matrix on the TiUnite surface [<a href="#B224-coatings-15-00109" class="html-bibr">224</a>].</p>
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<p>(<b>a</b>) OsseoSpeed dental implant by Astra Tech [<a href="#B244-coatings-15-00109" class="html-bibr">244</a>]; (<b>b</b>,<b>c</b>) SEM image of a titanium implant with fluoride-enriched surface [<a href="#B134-coatings-15-00109" class="html-bibr">134</a>].</p>
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<p>(<b>a</b>) IMAX NHSI hybrid dental implant by iRES covered with a bioactive hyaluronic acid nanolayer [<a href="#B256-coatings-15-00109" class="html-bibr">256</a>]; (<b>b</b>) the hybrid dental implant features a section labeled M that has been machined, while the section labeled A has undergone a sandblasting process followed by a double acid etching treatment [<a href="#B257-coatings-15-00109" class="html-bibr">257</a>]; (<b>c</b>) the timeframe image of the Wilhelmy plate experiment [<a href="#B257-coatings-15-00109" class="html-bibr">257</a>].</p>
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<p>SEM image of the hybrid dental implant covered with a bioactive hyaluronic acid nanolayer: (<b>a</b>) machined surface in the section labeled M at 20,000× magnification; (<b>b</b>) machined surface in the section labeled M at 50,000× magnification; (<b>c</b>) sandblasted, double acid-etched surface in the section labeled A at 20,000× magnification; (<b>d</b>) sandblasted, double acid-etched surface in the section labeled A at 50,000× magnification [<a href="#B257-coatings-15-00109" class="html-bibr">257</a>].</p>
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<p>(<b>a</b>) Tapered Internal Plus (4.5) dental implant with Laser-Lok surface technology by BioHorizons [<a href="#B266-coatings-15-00109" class="html-bibr">266</a>]; (<b>b</b>) the Laser-Lok surface at 800× magnification with uniformly shaped microchannels designed to facilitate and enhance tissue growth [<a href="#B267-coatings-15-00109" class="html-bibr">267</a>]; (<b>c</b>) a colorized SEM image of a dental implant showing connective tissue that is physically attached and interwoven with the Laser-Lok surface [<a href="#B267-coatings-15-00109" class="html-bibr">267</a>].</p>
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14 pages, 3445 KiB  
Article
Sustainable Fruit Preservation Using Algae-Based Bioactive Coatings on Textile Packaging
by Zoha Shabbir, Kashif Javed, Imran Ahmad Khan, Asfandyar Khan and Muhammad Junaid Saleem
Resources 2025, 14(1), 15; https://doi.org/10.3390/resources14010015 - 16 Jan 2025
Viewed by 519
Abstract
This study explores the potential of using natural textile packaging infused with algae-based coatings as an eco-friendly alternative to traditional plastic packaging for extending fruit shelf life. Traditional plastic packaging is known to release harmful chemicals into both food and the environment, which [...] Read more.
This study explores the potential of using natural textile packaging infused with algae-based coatings as an eco-friendly alternative to traditional plastic packaging for extending fruit shelf life. Traditional plastic packaging is known to release harmful chemicals into both food and the environment, which underscores the need for safer, more sustainable alternatives. This study investigates algae from three distinct groups—green, red, and brown algae—renowned for their rich bioactive compounds that exhibit natural preservative properties. Algae powders were prepared via immersion in purified water, boiling, and mixing with gum arabic to form a gelatinous coating solution. The algae coating was applied to knitted fabric, which was then crafted into bags for storing fruits such as tomatoes and apples. Over 21 days, the texture, weight loss, and juice content of the fruits stored in algae-coated bags were monitored and compared to those stored in uncoated packaging. The results showed that fruits in algae-coated packaging demonstrated significantly less weight loss and retained better texture. In terms of weight, the combination of red, green, and brown algae-coated packaging demonstrated the lowest reduction in weight for tomatoes (4.2%) and apples (3.8%) after 21 days, outperforming uncoated packaging, which exhibited reductions of 11.2% and 10.8%, respectively. These findings support the potential of algae-coated textile packaging to reduce reliance on conventional plastics while maintaining fruit quality during storage. Full article
(This article belongs to the Special Issue Alternative Use of Biological Resources)
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<p>Scheme for packaging coated with brown algae.</p>
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<p>Package coating method with green, brown, and red algae.</p>
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<p>(<b>a</b>) FTIR spectrum, (<b>b</b>) SEM of red algae-coated fabric, (<b>c</b>) SEM of red, green, and brown algae-coated fabric, and (<b>d</b>) EDX analysis of the algae-coated sample.</p>
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<p>Texture of tomato stored in (<b>a</b>) uncoated knitted fabric packaging (control), (<b>b</b>) brown algae with gum arabic, (<b>c</b>) green algae with gum arabic, (<b>d</b>) red algae with gum arabic, and (<b>e</b>) green, brown, and red algae with gum arabic.</p>
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<p>The texture of apples stored in (<b>a</b>) uncoated knitted fabric packaging (control), (<b>b</b>) red algae with gum arabic, (<b>c</b>) green algae with gum arabic, (<b>d</b>) brown algae with gum arabic, and (<b>e</b>) green, brown, and red algae with gum arabic.</p>
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<p>Weight loss percentage of (<b>a</b>) tomatoes and (<b>b</b>) apples.</p>
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<p>Total juice content of (<b>a</b>) tomatoes and (<b>b</b>) apples.</p>
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<p>Proposed mechanism of algae action for the protection of the fruits.</p>
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34 pages, 1738 KiB  
Review
Extending the Shelf Life of Apples After Harvest Using Edible Coatings as Active Packaging—A Review
by Magdalena Mikus and Sabina Galus
Appl. Sci. 2025, 15(2), 767; https://doi.org/10.3390/app15020767 - 14 Jan 2025
Viewed by 643
Abstract
Extending the shelf life of perishable food, such as apples, and storing them in cold conditions and/or controlled atmospheres have been of great interest in the last decades. Apples are very valuable fruits with many health benefits, but during storage at ambient conditions, [...] Read more.
Extending the shelf life of perishable food, such as apples, and storing them in cold conditions and/or controlled atmospheres have been of great interest in the last decades. Apples are very valuable fruits with many health benefits, but during storage at ambient conditions, they ripen quickly and lose moisture, causing lower crispness or other negative effects, resulting in waste problems. There has been growing attention to protective edible coatings or active packaging films based on biopolymers and natural bioactive substances. Edible coatings and films allow for combination with functional ingredients or compounds, affecting the maintenance of the postharvest quality of fruits and vegetables. They also ensure the preservation of the sensory characteristics of food, and they can have antimicrobial or antioxidant properties. All these aspects play a significant role in the storage of apples, which can also help prevent waste, which is in line with the circular economy approach. The functionality of coatings and films is closely related to the type, content, and composition of active compounds, as well as their interaction with biopolymers. Active coatings with the addition of different functional compounds, such as plant extracts, phenolic acids, and nanoparticles, can be an alternative solution affecting the postharvest quality of apples during storage, maintaining the fruit’s stability, and thus minimising their waste. The most important issues related to the latest reports on improving the postharvest quality of apples using edible coatings incorporated with various active substances were evaluated. Agricultural conditions and factors that affect the postharvest quality of apples were described. The requirements for protective coatings for apples should be focused on low-cost materials, including waste-based resources, good miscibility, and compatibility of components. Those factors combined with the storage conditions may result in shelf life extension or retention of the postharvest quality of apples, regardless of the variety or cultivation techniques. Full article
(This article belongs to the Special Issue Feature Review Papers in Section ‘Food Science and Technology')
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<p>Division of coating materials.</p>
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<p>Properties of phenolic acids.</p>
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<p>The mechanism of active coating for apples.</p>
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<p>The example of uncoated and coated apples with apple pectin-based edible coatings before and after 1 week of storage (The own study).</p>
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23 pages, 1584 KiB  
Article
Physicochemical Characterization, Storage Stability Behavior, and Intestinal Bioaccessibility of Clove Extract Encapsulated Using Varying Combinations of Gum Arabic and Maltodextrin
by Farhad Ahmadi, Hafiz A. R. Suleria and Frank R. Dunshea
Foods 2025, 14(2), 237; https://doi.org/10.3390/foods14020237 - 14 Jan 2025
Viewed by 524
Abstract
Clove (Syzygium aromaticum, L.) is a rich source of polyphenols and antioxidants, but its intense flavor, poor solubility, and instability may limit its widespread and efficient use in industrial applications. In a series of laboratory-scale experiments, gum Arabic (GA) and maltodextrin [...] Read more.
Clove (Syzygium aromaticum, L.) is a rich source of polyphenols and antioxidants, but its intense flavor, poor solubility, and instability may limit its widespread and efficient use in industrial applications. In a series of laboratory-scale experiments, gum Arabic (GA) and maltodextrin (MD) were used as coating agents in various proportions (ranging from 0MD:100GA to 100MD:0GA) for encapsulation of clove extract using a freeze-drying method. The encapsulates were assessed for the physicochemical properties, storage stability behavior, and intestinal bioaccessibility of phenolics using an in vitro gastrointestinal digestion test. The freeze-dried encapsulates were characterized as having low water activity (<0.3, which is a critical threshold to ensure chemical and microbiological stability), high water solubility (>90%), solid (product) recovery (mean 93.1 ± 1.77%), and encapsulation efficiency (91.4−94.9%). Hygroscopicity increased as the GA:MD proportion increased in the encapsulation formulations. Encapsulation was effective in protecting bioactive components of clove extract during storage at room (up to 40 days) or high temperature (60 °C for 7 days) and minimized the loss of antioxidant activity during storage, as compared to the clove extract in a non-encapsulated form. All encapsulation formulations were characterized by a negative zeta potential (from −22.1 to −29.7 mV) and a polydispersity index ranging from 0.47 to 0.68, classifying the formulations as having a mid-range polydisperse particle size distribution. The FTIR analysis demonstrated that the freeze-drying encapsulation process resulted in no evident chemical interaction between coating and core materials. Intestinal bioaccessibility of total phenolics after the in vitro-simulated gastrointestinal digestion was greater in the encapsulated clove extract compared to the non-encapsulated clove extract. In conclusion, the encapsulation process was effective in protecting the bioactivity of the polyphenol-rich clove extract during storage and improved the phenolic bioaccessibility, potentially supporting the application of the encapsulated clove extract for use in functional food development. Full article
(This article belongs to the Special Issue Polyphenols and Health Benefits: 2nd Edition)
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<p>Fourier transform infrared (FTIR) spectra of clove extract in non-encapsulated or encapsulated forms. MD = maltodextrin, GA = gum Arabic. Proportion of MD and GA in the formulations is presented in <a href="#foods-14-00237-t001" class="html-table">Table 1</a>.</p>
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<p>Total phenolic content (<b>A</b>), antioxidant capacity measured by FRAP assay (<b>B</b>), and eugenol concentration (<b>C</b>) of non-encapsulated clove extract over storage time at room temperature (RT; solid line) and cold temperature (CT; dotted line). Asterisks (*) indicate a significant difference (<span class="html-italic">p</span> &lt; 0.05; Tukey’s test).</p>
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<p>Eugenol concentration in clove extract in non-encapsulated form (<b>A</b>) and encapsulated form (<b>B</b>) before and after a 7-day accelerated storage stability test at 60 °C. MD = maltodextrin, GA = gum Arabic. Proportion of MD and GA in the formulations is presented in <a href="#foods-14-00237-t001" class="html-table">Table 1</a>. Different letters (<sup>a,b</sup>) indicate a significant difference (<span class="html-italic">p</span> &lt; 0.05; Tukey’s test).</p>
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<p>Intestinal bioaccessibility of total phenolics in clove extract in non-encapsulated or encapsulated form after simulated <span class="html-italic">in vitro</span> gastrointestinal digestion. MD = maltodextrin, GA = gum Arabic. Proportion of MD and GA in the formulations is presented in <a href="#foods-14-00237-t001" class="html-table">Table 1</a>. Clove extract was freeze-dried powder in non-encapsulated form. Different letters (<sup>a–c</sup>) indicate significant differences (<span class="html-italic">p</span> &lt; 0.05; Tukey’s test).</p>
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23 pages, 1531 KiB  
Review
A Comprehensive Review of Niobium Nanoparticles: Synthesis, Characterization, Applications in Health Sciences, and Future Challenges
by Muhammad Usman Khalid, Austeja Rudokaite, Alessandro Marcio Hakme da Silva, Monika Kirsnyte-Snioke, Arunas Stirke and Wanessa C. M. A. Melo
Nanomaterials 2025, 15(2), 106; https://doi.org/10.3390/nano15020106 - 12 Jan 2025
Viewed by 669
Abstract
Niobium nanoparticles (NbNPs) have gained attention as promising materials in biomedical applications due to their exceptional biocompatibility, corrosion resistance, and versatility. These nanoparticles offer potential in drug delivery, imaging, and tissue engineering, where their nanoscale properties allow precise interactions with biological systems. Among [...] Read more.
Niobium nanoparticles (NbNPs) have gained attention as promising materials in biomedical applications due to their exceptional biocompatibility, corrosion resistance, and versatility. These nanoparticles offer potential in drug delivery, imaging, and tissue engineering, where their nanoscale properties allow precise interactions with biological systems. Among niobium-based nanomaterials, niobium pentoxide (Nb2O5) is the most extensively studied due to its chemical stability, bioactivity, and optical properties. Nb2O5 nanoparticles have shown significant potential in catalysis, biosensing, and photodynamic therapy, as their stability and reactivity make them ideal for functionalization in advanced biomedical applications. Despite these advantages, challenges remain regarding the biodegradability and long-term retention of NbNPs in biological systems. Their accumulation in tissues can lead to risks such as chronic inflammation or toxicity, emphasizing the importance of designing nanoparticles with controlled clearance and biodegradability. Surface modifications, such as coatings with biocompatible polymers, have demonstrated the ability to mitigate these risks while enhancing therapeutic efficacy. This review provides a comprehensive overview of NbNPs, with a focus on Nb2O5, highlighting their unique properties, current biomedical applications, and limitations. By addressing the remaining challenges, this work aims to guide the development of safer and more effective niobium-based nanomaterials for future medical innovations. Full article
(This article belongs to the Section Biology and Medicines)
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<p>Sol–gel synthesis method.</p>
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<p>Hydrothermal synthesis method.</p>
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<p>Drug delivery to infected mice.</p>
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28 pages, 2820 KiB  
Article
Quality Preservation and Shelf-Life Extension of Prickly Pear (Opuntia ficus-indica L. Mill) Using Edible Coatings
by Carolina Rodrigues, Cariny Polesca, Isabela Bicalho, Victor Gomes Lauriano Souza, Isabel Coelhoso and Ana Luísa Fernando
Foods 2025, 14(2), 161; https://doi.org/10.3390/foods14020161 - 8 Jan 2025
Viewed by 1006
Abstract
Prickly pear consumption is increasing across the world due to its rich variety of nutrients and bioactive compounds. Yet, it is a seasonal and highly perishable fruit, and the application of edible coatings emerges as an alternative to extend its shelf life. In [...] Read more.
Prickly pear consumption is increasing across the world due to its rich variety of nutrients and bioactive compounds. Yet, it is a seasonal and highly perishable fruit, and the application of edible coatings emerges as an alternative to extend its shelf life. In this work, the effects of alginate, starch, chitosan, and pectin as coatings on the physicochemical, bioactive, microbiological, and textural properties of two prickly pear varieties (orange and red), kept under refrigeration (5 ± 2 °C) were evaluated for 6 weeks. Coatings proved to be helpful in the maintenance of the fruits’ color and textural properties, especially when pectin was applied. Overall, starch and chitosan can be considered the most effective coatings in preserving the quality of prickly pears among the options studied. A lower weight loss (8–10%) in fruits was achieved when starch and chitosan were applied, while in control fruits (without coating), the loss was 18–23%. Starch and chitosan also contributed to preserving the bioactivity of red fruits and showed good results in the preservation of total phenolic content in the orange fruits. In addition, starch and chitosan coatings also presented the best performance for the reduction of microbial contamination (both yeasts and molds and total mesophilic aerobic microorganisms). These findings highlight the role of edible coatings in preserving prickly pears, for a longer period, meeting consumers’ demand for fresh fruit. Full article
(This article belongs to the Special Issue Active Packaging in Food Storage: From Development to Utilization)
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<p>Visual aspect of red (<b>a</b>) and orange (<b>b</b>) prickly pears at initial time, 3, and 6 weeks of the experiment.</p>
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<p>Weight loss (%) results of red (<b>a</b>) and orange (<b>b</b>) prickly pear during storage time. <sup>(A–B)</sup>: Different upper case letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between coatings at the same time of the experiment.</p>
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<p>Weight loss (%) results of red (<b>a</b>) and orange (<b>b</b>) prickly pear during storage time. <sup>(A–B)</sup>: Different upper case letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between coatings at the same time of the experiment.</p>
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<p>Hue angle (h°) results of red (<b>a</b>) and orange (<b>b</b>) prickly pear pulp during storage time. <sup>(A,B)</sup>: Different capital letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) between treatments at the same time of the experiment. <sup>(a–c)</sup>: Different lower case letters indicate statistically significant differences for the same sample over time (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Firmness results (N) of red (<b>a</b>) and orange (<b>b</b>) prickly pear pulp during storage time. <sup>(A–C)</sup>: Different capital letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) between treatments at the same time of the experiment <sup>(a–d)</sup>: Different lower case letters indicate statistically significant differences for the same sample over time (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Firmness results (N) of red (<b>a</b>) and orange (<b>b</b>) prickly pear pulp during storage time. <sup>(A–C)</sup>: Different capital letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) between treatments at the same time of the experiment <sup>(a–d)</sup>: Different lower case letters indicate statistically significant differences for the same sample over time (<span class="html-italic">p</span> &lt; 0.05).</p>
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20 pages, 7012 KiB  
Article
Metabolomic and Transcriptomic Analyses of Flavonoid Biosynthesis in Different Colors of Soybean Seed Coats
by Yuanfang Fan, Sajad Hussain, Xianshu Wang, Mei Yang, Xiaojuan Zhong, Lei Tao, Jing Li, Yonghang Zhou and Chao Xiang
Int. J. Mol. Sci. 2025, 26(1), 294; https://doi.org/10.3390/ijms26010294 - 31 Dec 2024
Viewed by 516
Abstract
Soybean has outstanding nutritional and medicinal value because of its abundant protein, oil, and flavonoid contents. This crop has rich seed coat colors, such as yellow, green, black, brown, and red, as well as bicolor variants. However, there are limited reports on the [...] Read more.
Soybean has outstanding nutritional and medicinal value because of its abundant protein, oil, and flavonoid contents. This crop has rich seed coat colors, such as yellow, green, black, brown, and red, as well as bicolor variants. However, there are limited reports on the synthesis of flavonoids in the soybean seed coats of different colors. Thus, the seed coat metabolomes and transcriptomes of five soybean germplasms with yellow (S141), red (S26), brown (S62), green (S100), and black (S124) seed coats were measured. In this study, 1645 metabolites were detected in the soybean seed coat, including 426 flavonoid compounds. The flavonoids differed among the different-colored seed coats of soybean germplasms, and flavonoids were distributed in all varieties. Procyanidins A1, B1, B6, C1, and B2, cyanidin 3-O-(6″-malonyl-arabinoside), petunidin 3-(6″-p-coumaryl-glucoside) 5-glucoside, and malvidin 3-laminaribioside were significantly upregulated in S26_vs._S141, S62_vs._S141, S100_vs._S141, and S124_vs._S141 groups, with a variation of 1.43–2.97 × 1013 in terms of fold. The differences in the contents of cyanidin 3-O-(6″-malonyl-arabinoside) and proanthocyanidin A1 relate to the seed coat color differences of red soybean. Malvidin 3-laminaribioside, petunidin 3-(6″-p-coumaryl-glucoside) 5-glucoside, cyanidin 3-O-(6″-malonyl-arabinoside), and proanthocyanidin A1 affect the color of black soybean. The difference in the contents of procyanidin B1 and malvidin 3-glucoside-4-vinylphenol might be related to the seed coat color differences of brown soybeans. Cyanidin 3-gentiobioside affects the color of green soybean. The metabolomic–transcriptomic combined analysis showed that flavonoid biosynthesis is the key synthesis pathway for soybean seed color formation. Transcriptome analysis revealed that the upregulation of most flavonoid biosynthesis genes was observed in all groups, except for S62_vs._S141, and promoted flavonoid accumulation. Furthermore, CHS, CHI, DFR, FG3, ANR, FLS, LAR, and UGT88F4 exhibited differential expression in all groups. This study broadens our understanding of the metabolic and transcriptomic changes in soybean seed coats of different colors and provides new insights into developing bioactive substances from soybean seed coats. Full article
(This article belongs to the Special Issue Developing Methods and Molecular Basis in Plant Biotechnology)
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<p>Phenotypes of soybean germplasms. S141: yellow seed coat; S26: red seed coat; S62: brown seed coat; S100: green seed coat; S124: black seed coat.</p>
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<p>Differentially accumulated metabolites of the metabolome in soybeans with different seed coat colors. (<b>a</b>). Principal component analysis of the metabolites detected in the soybean seed coat using three biological replicates. (<b>b</b>). Numbers of differentially expressed metabolites among S26, S62, S100, and S124. (<b>c</b>–<b>f</b>). Volcano plots of differentially expressed metabolites among S26_vs._S141, S62_vs._S141, S100_vs._S141, and S124_vs._S141. Red dots indicate the upregulation of metabolites, blue dots indicate the downregulation of metabolites, and grey dots indicate that there is no significant difference in the metabolites.</p>
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<p>The classification of all the identified metabolites in the soybean seed coat. (<b>a</b>) classification of all the identified metabolites; (<b>b</b>) number of the DAMs.</p>
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<p>Analysis of transcriptomics data of soybeans with different seed coat colors. (<b>a</b>) Principal component analysis of the genes detected in the soybean seed coat with three biological replicates. (<b>b</b>) Number of differentially expressed genes among S26, S62, S100, and S124. (<b>c</b>–<b>f</b>). Volcano plots of differentially expressed genes among S26_vs._S141, S62_vs._S141, S100_vs._S141, and S124_vs._S141. Red dots indicate the upregulation of gene expression, green dots indicate the downregulation of gene expression, and grey dots indicate an absence of a significant difference in gene expression.</p>
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<p>KEGG enrichment analysis of differentially accumulated metabolites and differentially expressed genes in soybeans with different seed coat colors. (<b>a</b>–<b>d</b>). KEGG enrichment analysis of differentially accumulated metabolites. The <span class="html-italic">x</span>- and <span class="html-italic">y</span>-axes represent the enrichment factor and pathway term, respectively. The colors and sizes of the dots represent the significance and number of metabolites, respectively. (<b>e</b>). KEGG enrichment analysis of differentially expressed genes.</p>
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<p>Flavonoid pathway in soybean with different seed coat colors. CHS: chalcone synthase; CHS6: chalcone synthase 6; CHS1: chalcone synthase 1; UGT88F4: UDP-glycosyltransferase 88F4; FTH: Naringenin,2-oxoglutarate 3-dioxygenase (fragment); DFR: bifunctional dihydroflavonol 4-reductase/flavanone 4-reductase; ANR: anthocyanidin reductase ((2S)-flavan-3-ol-forming), LAR: leucoanthocyanidin reductase. The colored rectangle represents the up- or downregulation of S141, S26, S62, S100, and S124, respectively, and the red rectangle represents a high FPKM value compared with the blue rectangle.</p>
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<p>qRT-PCR detection of 6 key differentially expressed genes. The <span class="html-italic">x</span>-axis represents the relative expression of samples in qRT-PCR, and the <span class="html-italic">y</span>-axis represents the FPKM value in transcriptomics. The error bars indicate the SDs of three biological replicates. SoyZH13 14G066200 (<span class="html-italic">DFR</span>); SoyZH13 02G147700 (<span class="html-italic">DFR</span>); SoyZH13 01G196800 (<span class="html-italic">ANT17</span>); SoyZH13 08G058800 (<span class="html-italic">ANR</span>); SoyZH13 02G046100 (<span class="html-italic">FHT</span>); SoyZH13 20G171400 (<span class="html-italic">LAR</span>).</p>
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46 pages, 2616 KiB  
Review
Applications of Natural Polymers in the Grapevine Industry: Plant Protection and Value-Added Utilization of Waste
by Daniela-Ionela Toma (Sărdărescu), Doina Manaila-Maximean, Irina Fierascu, Anda Maria Baroi, Roxana Ioana Matei (Brazdis), Toma Fistos, Irina Elena Chican and Radu Claudiu Fierascu
Polymers 2025, 17(1), 18; https://doi.org/10.3390/polym17010018 - 25 Dec 2024
Viewed by 567
Abstract
The grapevine industry is confronted with challenges such as plant stress from environmental factors and microbial infections, alongside the need for sustainable waste management practices. Natural polymers offer promising solutions to these issues due to their biocompatibility, biodegradability, and functional versatility. This review [...] Read more.
The grapevine industry is confronted with challenges such as plant stress from environmental factors and microbial infections, alongside the need for sustainable waste management practices. Natural polymers offer promising solutions to these issues due to their biocompatibility, biodegradability, and functional versatility. This review explores the dual role of natural polymers in enhancing the grapevine industry: as protective agents against various stressors and as carriers for the delivery of valuable compounds recovered from grapevine wastes. We examine the use of natural polymers such as chitosan, alginate, and cellulose in formulating bio-based protective coatings and treatments that bolster plant resistance to abiotic stress, pathogens, and pests. Additionally, the review delves into the innovative utilization of grapevine residues, including skins, seeds, and stems, as sources of polyphenols and other bioactive compounds. These compounds can be efficiently encapsulated in natural polymer matrices for applications in agriculture, food, and pharmaceuticals. Key topics include the mechanisms of action, benefits, and limitations of natural polymer-based interventions, as well as case studies demonstrating their practical implementation in vineyards. The review also addresses future research directions, emphasizing the need for integrated approaches that enhance sustainability and economic viability in the grapevine industry. Full article
(This article belongs to the Special Issue Biodegradable and Natural Polymers, 2nd Edition)
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<p>Aspects of grapevine industry.</p>
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<p>Grapevine industry challenges to be addressed by research.</p>
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<p>Representation of grapevine wastes valorization workflow.</p>
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18 pages, 1149 KiB  
Article
Postharvest Evaluations of Blackcurrant Fruits with Chitosan and Ultraviolet A Treatments
by Zhuoyu Wang, Andrej Svyantek, Zachariah Miller, Aude A. Watrelot and Venkateswara Rao Kadium
Appl. Sci. 2024, 14(24), 12052; https://doi.org/10.3390/app142412052 - 23 Dec 2024
Viewed by 597
Abstract
The blackcurrant (Ribes nigrum L.) is a small fruit known for its health benefits, but treatment effects on postharvest storage for fresh markets remain understudied compared with other berries, such as blueberries (Vaccinium spp.). This work aimed to identify the effects [...] Read more.
The blackcurrant (Ribes nigrum L.) is a small fruit known for its health benefits, but treatment effects on postharvest storage for fresh markets remain understudied compared with other berries, such as blueberries (Vaccinium spp.). This work aimed to identify the effects of postharvest storage conditions including chitosan coating, ultraviolet a (UVA) light, and combined UVA–chitosan treatments on the physicochemical and microbial properties of blackcurrant. Blackcurrants were harvested, stored under the three conditions, and analyzed at every three days of storage throughout this experiment for a total of 15 days. The results indicated that chitosan treatments had positive effects on reducing berry weight loss, maintaining berry firmness, and reducing mold populations. UVA influenced certain bioactive compounds, such as cyanidin-3-galactoside and rutin. The interaction effects from these two treatments were minimal. This study provides important information for blackcurrant postharvest storage and further small fruit storage work, considering both UVA and chitosan had differential beneficial effects on blackcurrant berries’ physical and chemical attributes. Full article
(This article belongs to the Section Food Science and Technology)
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<p>Effects of postharvest treatments on weight loss. Each treatment contains three replicates. Bars indicate values are the mean ± standard deviations of replicates. Different letters correspond to mean values significantly different (<span class="html-italic">p</span> &lt; 0.05) by analysis of variance (ANOVA) and Tukey post hoc test across storage.</p>
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<p>Blackcurrant berry firmness changes during storage. Each treatment contains three replicates. Bars indicate values are the mean ± standard deviations of replicates. Different letters correspond to mean values significantly different (<span class="html-italic">p</span> &lt; 0.05) by analysis of variance (ANOVA) and Tukey post hoc test across storage.</p>
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<p>Microbial population measurements on blackcurrants during storage. Four treatments are included in the postharvest treatments. Different letters correspond to mean values significantly different (<span class="html-italic">p</span> &lt; 0.05) across storage by analysis of variance (ANOVA) and Tukey post hoc test. Each treatment at each storage days has three replicates.</p>
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24 pages, 2440 KiB  
Review
Hydroxyapatite from Mollusk Shells: Characteristics, Production, and Potential Applications in Dentistry
by Florin Lucian Muntean, Iustin Olariu, Diana Marian, Teodora Olariu, Emanuela Lidia Petrescu, Tudor Olariu and George Andrei Drăghici
Dent. J. 2024, 12(12), 409; https://doi.org/10.3390/dj12120409 - 16 Dec 2024
Viewed by 891
Abstract
Modern dentistry is turning towards natural sources to overcome the immunological, toxicological, aesthetic, and durability drawbacks of synthetic materials. Among the first biomaterials used as endosseous dental implants, mollusk shells also display unique features, such as high mechanical strength, superior toughness, hierarchical architecture, [...] Read more.
Modern dentistry is turning towards natural sources to overcome the immunological, toxicological, aesthetic, and durability drawbacks of synthetic materials. Among the first biomaterials used as endosseous dental implants, mollusk shells also display unique features, such as high mechanical strength, superior toughness, hierarchical architecture, and layered, microporous structure. This review focusses on hydroxyapatite—a bioactive, osteoconductive, calcium-based material crucial for bone healing and regeneration. Mollusk-derived hydroxyapatite is widely available, cost-effective, sustainable, and a low-impact biomaterial. Thermal treatment coupled with wet chemical precipitation and hydrothermal synthesis are the most common methods used for its recovery since they provide efficiency, scalability, and the ability to produce highly crystalline and pure resulting materials. Several factors, such as temperature, pH, and sintering parameters, modulate the size, purity, and crystallinity of the final product. Experimental and clinical data support that mollusk shell-derived hydroxyapatite and its carbonated derivatives, especially their nanocrystaline forms, display notable bioactivity, osteoconductivity, and osteoinductivity without causing adverse immune reactions. These biomaterials are therefore highly relevant for specific dental applications, such as bone graft substitutes or dental implant coatings. However, continued research and clinical validation is needed to optimize the synthesis of mollusk shell-derived hydroxyapatite and determine its applicability to regenerative dentistry and beyond. Full article
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<p>Structure of molluskan shells at nanoscale level (<b>first row</b>), microscale level (<b>second row</b>), mesoscale level (<b>third row</b>), and macroscale level (<b>fourth row</b>).</p>
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<p>Hierarchical structure of bone (<b>upper</b> figure) and tooth (<b>lower</b> figure).</p>
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12 pages, 6424 KiB  
Article
Magnetically Induced Anisotropic Microstructures on Polyethylene Glycol Hydrogel Facilitate BMSC Alignment and Osteogenic Differentiation
by Hua Zhang, Yang Luo, Rong Xu, Xu Cao, Guanrong Li and Shang Chen
Gels 2024, 10(12), 814; https://doi.org/10.3390/gels10120814 - 11 Dec 2024
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Abstract
Many tissues exhibit structural anisotropy, which imparts orientation-specific properties and functions. However, recapitulating the cellular patterns found in anisotropic tissues presents a remarkable challenge, particularly when using soft and wet hydrogels. Herein, we develop self-assembled anisotropic magnetic Fe3O4 micropatterns on [...] Read more.
Many tissues exhibit structural anisotropy, which imparts orientation-specific properties and functions. However, recapitulating the cellular patterns found in anisotropic tissues presents a remarkable challenge, particularly when using soft and wet hydrogels. Herein, we develop self-assembled anisotropic magnetic Fe3O4 micropatterns on polyethylene glycol hydrogels utilizing dipole–dipole interactions. Under the influence of a static magnetic field, Fe3O4 nanoparticles align into highly ordered structures with a height of 400–600 nm and a width of 8–10 μm. Furthermore, our layer-by-layer assembly technique enables the creation of oriented micropatterns with varying densities and heights, which can be further manipulated to form three-dimensional structures by adjusting the angle of the magnetic field. These anisotropic magnetic Fe3O4 micropatterns can be applied to various substrates, including treated glass slides, standard glass slides, silicon wafers, and polydimethylsiloxane. The patterned Fe3O4 scaffolds, modified with gold coating, effectively enhance cellular adhesion, orientation, and osteogenic differentiation of bone marrow-derived stem cells, which is crucial for effective tissue repair. Overall, this study presents an efficient strategy for constructing anisotropic Fe3O4 micropattern hydrogels, providing a bioactive platform that significantly enhances cellular functions. Full article
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<p>Fabrication of anisotropic micropatterns using a magnetostatic field. (<b>a</b>) Schematic illustration of the preparation process for creating oriented micropatterns. (<b>b</b>) TEM image of Fe<sub>3</sub>O<sub>4</sub> NPs. (<b>c</b>) EDS elemental mapping demonstrating the crystalline structure of Fe<sub>3</sub>O<sub>4</sub> NPs, with oxygen and iron as the predominant elements. (<b>d</b>,<b>e</b>) The size distribution (<b>d</b>) and zeta potential (<b>e</b>) of the Fe<sub>3</sub>O<sub>4</sub> NPs characterized by using the zetasizer nano analyzer. (<b>f</b>) XRD pattern of the magnetic Fe<sub>3</sub>O<sub>4</sub> NPs. (<b>g</b>) Assembly process of Fe<sub>3</sub>O<sub>4</sub> NPs observed using an optical microscope. (<b>h</b>) Optical microscopy images of Fe<sub>3</sub>O<sub>4</sub> micropatterns. (<b>i</b>,<b>j</b>) SEM morphology images showing the morphology of Fe<sub>3</sub>O<sub>4</sub> micropatterns. (<b>k</b>) Statistical analysis of the diameter distribution of Fe<sub>3</sub>O<sub>4</sub> NPs using SEM. (<b>l</b>) AFM images and (<b>m</b>) quantitative analysis on the height and width of the oriented Fe<sub>3</sub>O<sub>4</sub> micropatterns.</p>
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<p>Parameter optimization for the fabrication of anisotropic micropatterns. (<b>a</b>) Distribution of Fe<sub>3</sub>O<sub>4</sub> droplets at varying positions on the magnet. (<b>b</b>) The uniform micropatterns stabilized at the magnet positions within a 4 mm diameter. (<b>c</b>) SEM images of magnetically induced anisotropic Fe<sub>3</sub>O<sub>4</sub> micropatterns at different concentrations. (<b>d</b>,<b>e</b>) Statistical analysis of the width (<b>d</b>) and height (<b>e</b>) of the anisotropic Fe<sub>3</sub>O<sub>4</sub> micropatterns.</p>
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<p>The morphology of Fe<sub>3</sub>O<sub>4</sub> micropatterns on substrates with varying wettability. (<b>a</b>) Contact angles measured on five different supporting substrates. (<b>b</b>) Anisotropic Fe<sub>3</sub>O<sub>4</sub> micropatterns formed on substrates with different wettability. (<b>c</b>,<b>d</b>) The height (<b>c</b>) and width (<b>d</b>) of Fe<sub>3</sub>O<sub>4</sub> micropatterns on these various substrates.</p>
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<p>Fabrication of multilayer cross patterns. (<b>a</b>) SEM images of multilayer parallel structures, consisting of one to four layers, on PEG surfaces. (<b>b</b>,<b>c</b>) The height (<b>b</b>) and width (<b>c</b>) of multilayer Fe<sub>3</sub>O<sub>4</sub> micropatterns. (<b>d</b>) SEM images of Fe<sub>3</sub>O<sub>4</sub> micropatterns created at angles of 45°, 90° 120° and 150° direction. (<b>e</b>) SEM image of three-layer Fe<sub>3</sub>O<sub>4</sub> cross structures.</p>
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<p>Cellular orientation and differentiation on micropatterned substrates. (<b>a</b>) Cellular orientation on anisotropic Fe<sub>3</sub>O<sub>4</sub> micropatterns and multilayer patterns. (<b>b</b>) Cellular orientation on single-layer linear patterns formed by the assembly of varying concentrations of Fe<sub>3</sub>O<sub>4</sub> NPs. (<b>b</b>) Representative fluorescent images showing nuclear (blue), Collagen I (red), and OPN (green) immunostaining of BMSCs differentiated on the micropatterned Fe<sub>3</sub>O<sub>4</sub> hydrogels.</p>
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Article
What Are the Sustainable Features of Soybean Leaves as a By-Product?
by Han-Na Chu, Eun-Suk Jung, Mi-Kyung Seo, Jae-Sin Lee and Haeng-Ran Kim
Sustainability 2024, 16(24), 10823; https://doi.org/10.3390/su162410823 - 10 Dec 2024
Viewed by 700
Abstract
Soybean leaves, by-products of soybeans, are functional food supplements for overall health, displaying nutritional superiority and various functionalities; they are widely used for both consumption and as functional materials. This study analyzed the physiological activity (efficacy) of 47 soybean leaves harvested in 2019 [...] Read more.
Soybean leaves, by-products of soybeans, are functional food supplements for overall health, displaying nutritional superiority and various functionalities; they are widely used for both consumption and as functional materials. This study analyzed the physiological activity (efficacy) of 47 soybean leaves harvested in 2019 and 2020. Differences based on cultivation year (2 years), seed coat color (three varieties), and the interaction of soybean cultivation year × seed coat color were determined using analysis of variance (ANOVA). DPPH radical scavenging activity varied with seed coat color, while uncoupling protein-1 (UCP-1) and nitric oxide (NO) exhibited significant differences by cultivation year. Items that displayed greater increases in 2020 than in 2019 among the six measures of physiological activity (efficacy) were estrogen receptor alpha, UCP-1, and NO production inhibitory activity, whereas ABTS and DPPH radical scavenging activities as well as estrogen activity declined. ANOVA confirmed significant differences in DPPH radical scavenging activity according to seed coat color as well as in UCP-1 and NO production inhibitory activity by cultivation year. Annual comparisons in the correlations of efficacy with ABTS and DPPH radical scavenging activities exhibited strong correlations at 2 years, despite climatic variation, thus potentially being classifiable as analysis items with high cultivation stability. However, other efficacies displayed vast differences in correlation between years. Climate change may affect the added value of agricultural products by reducing the production of by-product soybean leaves and changing their bioactive properties, so various countermeasures are needed. This annual variation may largely be attributed to climatic variations owing to open field cultivation. Geomjeong Kong-5 (black color), B16 Neoljeokseoritae (black color), Sorok Kong (yellow color), and Gangwonyanggu-1994-3709 (green–black color) were selected as superior soybean leaf sources with minimal annual variation and high stability against cultivation environments. Further research is needed to ensure that the leaves of the soybean can be used as a sustainable resource for the agricultural industry. The data from this study can be used as a basis for breeding and cultivating soybean leaves while maintaining high efficacy, regardless of the instability of the growing environment due to climatic variations. Full article
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<p>Comparison of the estrogenic activity of soybean leaves sorted by seed coat color in 2019 and 2020. <sup>a–t</sup> Same letter values within a row indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 by Duncan’s multiple range test. * Significantly different from the control (CON) at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Comparison of estrogen receptor alpha activity of soybean leaves sorted by seed coat color in 2019 and 2020. <sup>a–t</sup> Same letter values within a row indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 by Duncan’s multiple range test. * Significantly different from the control (CON) at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Comparison of UCP−1 activity of soybean leaves sorted by seed coat color in 2019 and 2020. <sup>a–w</sup> Same letter values within a row indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 by Duncan’s multiple range test. * Significantly different from the control (CON) at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Comparison of NO inhibition activity in soybean leaves classified by seed coat color in 2019 and 2020. <sup>a–p</sup> Same letter values within a row indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 by Duncan’s multiple range test. * Significantly different from the control (CON) at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Analysis of samples (Control cultivar (blue color), C1–C2; Yellow group, Y1–Y17; Black group, B1–B26; Green group, G1–G4) and efficacy by PCA. ABTS radical scavenging activity (ABTS); DPPH radical scavenging activity (DPPH); estrogen activity (Estrogen); estrogen receptor alpha activity (ER); uncoupling protein-1 activity (UCP1); nitric oxide inhibition activity (NO).</p>
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<p>Correlation analysis of efficacy with soybean leaves. ABTS radical scavenging activity (ABTS); DPPH radical scavenging activity (DPPH); estrogen activity (Estrogen); estrogen receptor alpha activity (ER); uncoupling protein-1 activity (UCP1); nitric oxide inhibition activity (NO).</p>
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<p>Scatter plot of efficacy with soybean leaves. ABTS radical scavenging activity (ABTS); DPPH radical scavenging activity (DPPH); estrogen activity (Estrogen); estrogen receptor alpha activity (ER); uncoupling protein−1 activity (UCP1); nitric oxide inhibition activity (NO).</p>
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<p>Heatmap of efficacy with soybean leaf resources (Control cultivar, C1−C2; Yellow group, Y1−Y17; Black group, B1−B26; Green group, G1−G4). ABTS radical scavenging activity (ABTS); DPPH radical scavenging activity (DPPH); estrogen activity (Estrogen); estrogen receptor alpha activity (ER); uncoupling protein−1 activity (UCP1); nitric oxide inhibition activity (NO).</p>
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