[go: up one dir, main page]

 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

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

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (3,208)

Search Parameters:
Keywords = alginates

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
15 pages, 10496 KiB  
Article
Bioprinted High-Cell-Density Laminar Scaffolds Stimulate Extracellular Matrix Production in Osteochondral Co-Cultures
by Aidan Bowes, Amy Collins, Fiona Oakley, Piergiorgio Gentile, Ana Marina Ferreira and Kenny Dalgarno
Int. J. Mol. Sci. 2024, 25(20), 11131; https://doi.org/10.3390/ijms252011131 - 17 Oct 2024
Viewed by 166
Abstract
Many tissues have a laminar structure, but there are limited technologies for establishing laminar co-cultures for in vitro testing. Here, we demonstrate that collagen–alginate–fibrin (CAF) hydrogel scaffolds produced using the reactive jet impingement bioprinting technique can produce osteochondral laminar co-cultures with well-defined interfaces [...] Read more.
Many tissues have a laminar structure, but there are limited technologies for establishing laminar co-cultures for in vitro testing. Here, we demonstrate that collagen–alginate–fibrin (CAF) hydrogel scaffolds produced using the reactive jet impingement bioprinting technique can produce osteochondral laminar co-cultures with well-defined interfaces between cell types and high cell densities to support cell–cell interaction across the interfaces. The influence of cell density and the presence of the two cell types on the production of extracellular matrix (ECM) and the emergent mechanical properties of gels is investigated using IHC, ELISA, gel mass, and the compression modulus. The results indicate that high-cell-density cultures and co-cultures with these specific cell types produce greater levels of ECM and a more biomimetic in vitro culture than low-cell-density cultures. In laminar scaffolds produced using TC28a2 chondrocytes and SaoS-2 osteoblasts, both cell density and the presence of the two cell types enhance ECM production and the mechanical properties of the cultures, presenting a promising approach for the production of more biomimetic in vitro models. Full article
(This article belongs to the Special Issue Recent Development in Scaffolds for Tissue Engineering)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) A schematic CAD model showing the arrangement of a bio-ink reservoir and microvalves within a ReJI printhead. Tubes directly link the reservoirs to the microvalves so that reservoirs A and B feed valves A and B respectively. (<b>b</b>) The microvalves produce droplet streams which collide and react to produce gel droplets which fall to the substrate to create monoculture gels (<b>left</b>, osteoblasts in gel) or, with sequential printing, co-culture gels (<b>right</b>, chondrocytes and osteoblasts or MSCs in laminar culture). (<b>c</b>) An example printed hydrogel viewed from above, 6 mm square, 3 mm thick. (<b>b</b>) created with BioRender.com.</p>
Full article ">Figure 2
<p>A confocal image of the MSC–chondrocyte co-culture proof-of-concept study showing a laminar structure. An imaged interface between a printed layer of Y201 MSC cells and TC28a2 chondrocyte cells after 3 days of co-culture in F12/DMEM media. Blue: cell nuclei; red: aggrecan; and green: collagen II. Dashed yellow lines identify the laminar interface, which is a few cells thick, through the change in collagen II expression as we move from Y201 cells to TC28a2s. Tick marks on the scale are 10 µm apart.</p>
Full article ">Figure 3
<p>(<b>a</b>) The cell concentration (cells per mL) of cells in digested hydrogels immediately after printing (n = 3). (<b>b</b>) The post-print viability of cell-filled 3D-printed hydrogels, containing TC28a2, Saos-2, and TC28a2/Saos-2 co-cultures (n = 2). There is no significant difference between the viability of the different cell types in any of the printed densities at any of the timepoints. When <span class="html-italic">p</span> ≤ 0.05 is represented by *, and <span class="html-italic">p</span> &gt; 0.05 is not significant and not represented on the graph.</p>
Full article ">Figure 4
<p>The immunohistochemical staining of the chondrocyte region of the co-culture. Sections stained to show the presence of cell nuclei (blue), collagen II (green), and aggrecan (red).</p>
Full article ">Figure 5
<p>The immunohistochemical staining of the osteoblast region of the co-culture. Sections were stained to show the presence of cell nuclei (blue), osteocalcin (green), and osteopontin (red).</p>
Full article ">Figure 6
<p>(<b>a</b>) Human collagen I and (<b>b</b>) aggrecan concentration in supernatant removed from chondrocyte, osteoblast, and co-cultures, with cell densities of 4 × 10<sup>7</sup> cells/mL (high density) and 4 × 10<sup>6</sup> cells/mL (low density). n = 3. At day 14, the high-density co-culture showed significantly higher concentrations of hCol1 than all other high- and low-cell-density cultures. At all timepoints, the average aggrecan concentration in the high-density cultures is higher than that in the corresponding low-density cultures, although this difference is only significant in the co-culture samples. The level of aggrecan detected in the high-density co-culture samples is significantly higher than that in the corresponding low-density samples at both days 1 and 14. When <span class="html-italic">p</span> ≤ 0.05 is represented by *, <span class="html-italic">p</span> ≤ 0.01 is **, <span class="html-italic">p</span> ≤ 0.001 is ***, <span class="html-italic">p</span> ≤ 0.0001 is ****, and <span class="html-italic">p</span> &gt; 0.05 is not significant and not represented on the graph.</p>
Full article ">Figure 7
<p>(<b>a</b>) The average gel mass and (<b>b</b>) compression modulus of gel cultures. For clarity, significance is illustrated only for high-density/low-density comparisons with a single culture type at each timepoint. n = 3. The compression modulus did not significantly increase for any of the cultures between days 1 and 3, but all cultures showed a significant increase in the modulus between days 3 and 7, with the high-cell-density co-culture showing the greatest increase. When <span class="html-italic">p</span> ≤ 0.01 is represented by **, <span class="html-italic">p</span> ≤ 0.001 is ***, <span class="html-italic">p</span> ≤ 0.0001 is ****, and <span class="html-italic">p</span> &gt; 0.05 is not significant and not represented on the graph.</p>
Full article ">
12 pages, 6738 KiB  
Article
The Utilization of Central Composite Design for the Production of Hydrogel Blends for 3D Printing
by Thalita Fonseca Araujo and Luciano Paulino Silva
Coatings 2024, 14(10), 1324; https://doi.org/10.3390/coatings14101324 - 16 Oct 2024
Viewed by 304
Abstract
Central composite design (CCD) is a statistical experimental design technique that utilizes a combination of factorial and axial points to study the effects of multiple variables on a response. This study focused on optimizing hydrogel formulations for 3D printing using CCD. Three biopolymers [...] Read more.
Central composite design (CCD) is a statistical experimental design technique that utilizes a combination of factorial and axial points to study the effects of multiple variables on a response. This study focused on optimizing hydrogel formulations for 3D printing using CCD. Three biopolymers were selected: sodium alginate (SA), gelatin (GEL), and carboxymethyl cellulose (CMC). The maximum and minimum concentrations of each polymer were established using a Google Scholar search, and CCD was employed to generate various combinations for hydrogel preparation. The hydrogels were characterized in accordance with their swelling degree (SD) in phosphate-buffered saline (PBS) and Dulbecco’s Modified Eagle Medium (DMEM), as well as their printability in 2D and 3D assays. The formulation consisting of 7.5% SA, 7.5% GEL, and 2.5% CMC exhibited the best swelling properties and exceptional printability, surpassing all other tested formulations. This study highlights the effectiveness of design of experiment methodologies in accelerating the development of optimized hydrogel formulations for various applications in 3D printing and suggests avenues for future research to explore their performance in specific biological contexts. Full article
(This article belongs to the Section Surface Coatings for Biomedicine and Bioengineering)
Show Figures

Figure 1

Figure 1
<p>Flow chart for step-wise procedures and experimental design.</p>
Full article ">Figure 2
<p>Swelling and/or degradation of the hydrogels in PBS, produced using the CCD methodology. The values represent the means of 4 experiments and are expressed in weight (g).</p>
Full article ">Figure 3
<p>Swelling and/or degradation of the hydrogels in DMEM, produced using the CCD methodology. The values represent the means of 4 experiments and are expressed in weight (g).</p>
Full article ">Figure 4
<p>Fluid absorption rate of the 17 hydrogels produced using CCD in the PBS (gray lines) and DMEM (pink lines).</p>
Full article ">Figure 5
<p>Three-dimensional response surface graphs by a linear model, produced using the swelling degree (SD) of the hydrogels in the PBS. (<b>a</b>) Comparison between gelatin and alginate; (<b>b</b>) comparison between carboxymethyl cellulose and alginate; (<b>c</b>) Pareto’s chart of the variables. <span class="html-italic">p</span> &lt; 0.05. Graph generated by Chemoface software.</p>
Full article ">Figure 6
<p>Three-dimensional response surface graphs by a linear model, produced using the swelling degree (SD) of the hydrogels in DMEM. (<b>a</b>) Comparison between gelatin and alginate; (<b>b</b>) comparison between carboxymethyl cellulose and alginate; (<b>c</b>) Pareto’s chart of the variables. <span class="html-italic">p</span> &lt; 0.05. Graph generated by Chemoface software.</p>
Full article ">Figure 7
<p>Manually extruded hydrogels in different forms and shapes. (<b>a</b>) Hydrogel 6; (<b>b</b>) hydrogel 14.</p>
Full article ">Figure 8
<p>Three-dimensionally printed hydrogels. (<b>a</b>) Hydrogel 6; (<b>b</b>) hydrogel 14.</p>
Full article ">
21 pages, 1995 KiB  
Article
Alginate–Bentonite Encapsulation of Extremophillic Bacterial Consortia Enhances Chenopodium quinoa Tolerance to Metal Stress
by Cesar Arriagada-Escamilla, Roxana Alvarado, Javier Ortiz, Reinaldo Campos-Vargas and Pablo Cornejo
Microorganisms 2024, 12(10), 2066; https://doi.org/10.3390/microorganisms12102066 (registering DOI) - 15 Oct 2024
Viewed by 459
Abstract
This study explores the encapsulation in alginate/bentonite beads of two metal(loid)-resistant bacterial consortia (consortium A: Pseudomonas sp. and Bacillus sp.; consortium B: Pseudomonas sp. and Bacillus sp.) from the Atacama Desert (northern Chile) and Antarctica, and their influence on physiological traits of Chenopodium [...] Read more.
This study explores the encapsulation in alginate/bentonite beads of two metal(loid)-resistant bacterial consortia (consortium A: Pseudomonas sp. and Bacillus sp.; consortium B: Pseudomonas sp. and Bacillus sp.) from the Atacama Desert (northern Chile) and Antarctica, and their influence on physiological traits of Chenopodium quinoa growing in metal(loid)-contaminated soils. The metal(loid) sorption capacity of the consortia was determined. Bacteria were encapsulated using ionic gelation and were inoculated in soil of C. quinoa. The morphological variables, photosynthetic pigments, and lipid peroxidation in plants were evaluated. Consortium A showed a significantly higher biosorption capacity than consortium B, especially for As and Cu. The highest viability of consortia was achieved with matrices A1 (3% alginate and 2% bentonite) and A3 (3% alginate, 2% bentonite and 2.5% LB medium) at a drying temperature of 25 °C and storage at 4 °C. After 12 months, the highest viability was detected using matrix A1 with a concentration of 106 CFU g−1. Further, a greenhouse experiment using these consortia in C. quinoa plants showed that, 90 days after inoculation, the morphological traits of both consortia improved. Chemical analysis of metal(loid) contents in the leaves indicated that consortium B reduced the absorption of Cu to 32.1 mg kg−1 and that of Mn to 171.9 mg kg−1. Encapsulation resulted in a significant increase in bacterial survival. This highlights the benefits of using encapsulated microbial consortia from extreme environments, stimulating the growth of C. quinoa, especially in soils with metal(loid) levels that can be a serious constraint for plant growth. Full article
(This article belongs to the Special Issue Rhizosphere Bacteria and Fungi that Promote Plant Growth)
Show Figures

Figure 1

Figure 1
<p>(<b>A</b>): Biosorption and (<b>B</b>): removal efficiency of the metal(loid)s by consortium A and consortium B. CI: metal(loid) mix I. CII: metal(loid) mix II. AI: metal(loid) mix I with consortium A. AII: metals(loid) mix II with consortium A. BI: metal(loid) mix I with consortium B. BII: metals(loid) mix II with consortium B. Different letters above bars indicate significant differences among treatments (<span class="html-italic">p</span> &lt; 0.05, n = 6).</p>
Full article ">Figure 2
<p>Survival of bacterial consortia A and B in different matrices. Matrix (A1 alginate 3% bentonite 2%), matrix A2 (alginate 3% bentonite 2% glycerol 3%), matrix A3 (alginate 3%, bentonite 2%, LB medium 2.5%), and matrix A4 (alginate 3% molasses 3%). The beads were dried at 25, 28, 30, and 35 °C for 24 h. N<sub>t</sub> is the number of viable cells after drying, N<sub>i</sub> is the number of viable cells at time zero. The initial cell count was approximately 10<sup>9</sup> CFU g<sup>−1</sup>. The different letters indicate a statistically significant difference between the groups <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 3
<p>Viability of bacterial consortia A and B after 12 months of storage at 4 and 24 °C using different encapsulation matrices. Matrix A1 (3% alginate and 2% bentonite) and matrix A3 (3% alginate, 2% bentonite, and 2.5% LB medium). The initial cell count was approximately 10<sup>8</sup> CFU g<sup>−1</sup>. Error bars indicate the standard deviation of 6 independent replicates. Lowercase letters indicate a significant difference between temperatures for each treatment and uppercase letters indicate a significant difference between matrices; <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 4
<p>Spearman’s rank correlation analysis between consortium, matrix, metal(loid) mix, and morphological traits of <span class="html-italic">C. quinoa</span>. The cells are colored according to the correlation coefficient. Blue represents a significant positive correlation and red represents a significant negative correlation.</p>
Full article ">Figure 5
<p>Total chlorophyll content in <span class="html-italic">C. quinoa</span> plants WC: without consortium, CA: with consortium A, and CB: with consortium B; matrix A1 (3% alginate and 2% bentonite) and matrix A3 (3% alginate, 2% bentonite, and 2.5% LB medium) in different concentrations of metal(loid)s. (<b>a</b>) Control: soil without the metal(loid) mix; (<b>b</b>) metal(loid) mix I, and (<b>c</b>) metal(loid) mix II. Error bars indicate the standard deviation of 6 independent replicates. Lower-case letters indicate a significant difference between matrices for each treatment and upper-case letters indicate a significant difference between treatments <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 6
<p>Malondialdehyde (MDA) content in leaves and roots of <span class="html-italic">C. quinoa</span> plants. WC: without consortium, CA: with consortium A and CB: with consortium B; Matrix A1 (3% alginate and 2% bentonite) and matrix A3 (3% alginate, 2% bentonite, and 2.5% LB medium) in different concentrations of metal(loid)s. (<b>a</b>,<b>d</b>) Control: soil without the metal(loid) mix; (<b>b</b>,<b>e</b>) metal(loid) mix I and (<b>c</b>,<b>f</b>) metal(loid) mix II. Error bars indicate the standard deviation of 6 independent replicates. Lower-case letters indicate a significant difference between matrices for each treatment and upper-case letters indicate a significant difference between treatments <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">
16 pages, 1699 KiB  
Article
Soil Bacteria from the Namib Desert: Insights into Plant Growth Promotion and Osmotolerance in a Hyper-Arid Environment
by Tiago Lopes, Jacinta Santos, Diana Matos, Carina Sá, Diogo Pina, Ricardo Pinto, Paulo Cardoso and Etelvina Figueira
Land 2024, 13(10), 1678; https://doi.org/10.3390/land13101678 (registering DOI) - 15 Oct 2024
Viewed by 387
Abstract
The Namib Desert is characterized by a number of abiotic stresses, including high temperature, high salinity, osmotic pressure, alkaline pH, and limited water availability. In such environments, dry soils typically exhibit a low water potential, scarce nutrients, and high concentrations of dissolved ions, [...] Read more.
The Namib Desert is characterized by a number of abiotic stresses, including high temperature, high salinity, osmotic pressure, alkaline pH, and limited water availability. In such environments, dry soils typically exhibit a low water potential, scarce nutrients, and high concentrations of dissolved ions, collectively creating a challenging habitat for microbial life. In this study, 89 bacterial isolates belonging to 20 genera were identified. Bacteria demonstrated significant osmotolerance, with some strains thriving at polyethylene glycol (PEG) concentrations exceeding 20%. Furthermore, these bacteria demonstrated halotolerance, high pH tolerance, and capacity to produce plant growth-promoting (PGP) traits under conditions of osmotic stress. Osmotolerant bacteria exhibited higher proficiency in siderophore production, potassium solubilization, and phosphorus solubilization, all of which are critical for supporting plant growth in nutrient-scarce and stressful environments, such as deserts. However, alginate production was higher in isolates that were less osmotolerant, indicating the potential for a compensatory mechanism in strains that were more sensitive. These findings highlight the complex strategies employed by desert bacteria to survive and support host plants in extreme environments. The present study not only enhances our understanding of microbial adaptations in arid ecosystems, but also provides important information for the development of potential applications for these bacteria in the reclamation of arid land and agricultural practices aimed at improving crop resilience to abiotic stress. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p><b>Bacterial diversity.</b> Circular chart showing the different bacterial genera identified after BOX-PCR and 16S rDNA gene isolated from three different host plants (<span class="html-italic">Tetraena simplex</span>, <span class="html-italic">Tetraena stapffii</span>, and <span class="html-italic">Stipagrostis</span> sp.) growing in the Namib Desert.</p>
Full article ">Figure 2
<p><b>Bacterial osmotolerance</b> (calculated by PEG concentration inhibiting 50% growth, IC50). Different levels of osmotolerance were identified: sensitive (IC50 &lt; 10% PEG); moderately tolerant (10 % PEG ≤ IC50 &lt; 15% PEG); tolerant (15% PEG ≤ IC50); and highly tolerant (IC50 ≥ 20% PEG).</p>
Full article ">Figure 3
<p><b>Bacterial tolerance to abiotic stress</b> grouped by osmotolerance levels (S—sensitive; MT—moderately tolerant; T—tolerant; HT—highly tolerant). For each parameter, the general responses (bar charts) and distributions (violin plots) are presented. (<b>A</b>,<b>B</b>): Halotolerance at 6% NaCl relative to the control (0% NaCl). (<b>C</b>,<b>D</b>): Tolerance at pH 4 (acidity) relative to the control (pH 7). (<b>E</b>,<b>F</b>): Tolerance to pH 10 (alkalinity) relative to the control (pH 7). Values represent the mean of at least three replicates + standard error. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) among the different osmotolerance levels.</p>
Full article ">Figure 4
<p><b>Plant Growth Promotion traits</b> grouped by osmotolerance levels (S—sensitive; MT—moderately tolerant; T—tolerant; HT—highly tolerant). For each parameter, the general response (bar charts), ratio of isolates with (color) and without (grey) ability (pie chart), and distribution (violin plots) are presented. (<b>A</b>,<b>B</b>): IAA production under osmotic stress (10% polyethylene glycol). (<b>C</b>,<b>D</b>): Alginate production under osmotic stress (10% polyethylene glycol). (<b>E</b>,<b>F</b>): Siderophore production. (<b>G</b>,<b>H</b>): Potassium solubilization. (<b>I</b>,<b>J</b>): Phosphate solubilization. Values are means of at least three replicates + standard error. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) among the different osmotolerance levels.</p>
Full article ">
13 pages, 14821 KiB  
Article
Optimization of the Process for Slow-Release Urea Fertilizer with Water Absorption Based on Response Surface Methodology
by Yan Li, Yu Ma, Yan Wang, Fan Chang and Jiakun Dai
Appl. Sci. 2024, 14(20), 9352; https://doi.org/10.3390/app14209352 (registering DOI) - 14 Oct 2024
Viewed by 439
Abstract
Fertilizers that release nutrients slowly can provide crops with consistent nutrients, while soils with good water-holding capacity can alleviate the impact of droughts on crops. Sodium alginate/carboxymethyl starch sodium/polydopamine/urea (SCPU) is a new kind of slow-release fertilizer with water absorption property. In this [...] Read more.
Fertilizers that release nutrients slowly can provide crops with consistent nutrients, while soils with good water-holding capacity can alleviate the impact of droughts on crops. Sodium alginate/carboxymethyl starch sodium/polydopamine/urea (SCPU) is a new kind of slow-release fertilizer with water absorption property. In this study, the Box–Behnken response surface methodology (RSM) was used to reveal the effects of concentrations of sodium alginate, carboxymethyl starch sodium, urea, calcium chloride and dopamine on the encapsulation efficiency and water absorption of SCPU. The results show that the optimum preparation conditions to obtain the highest level of encapsulation efficiency (89.27%) and water absorption (167.05%) are 2.2% sodium alginate, 5% carboxymethyl starch sodium, 30% urea, 1.9% calcium chloride and 0.52% dopamine. Full article
Show Figures

Figure 1

Figure 1
<p>The normal plot of residuals (<b>a</b>), residuals vs. predicted plot (<b>b</b>) and predicted vs. actual plot (<b>c</b>) for encapsulation efficiency.</p>
Full article ">Figure 2
<p>Three-dimensional response surface (<b>a</b>) and contour plot (<b>b</b>) of the concentration of sodium alginate and urea on encapsulation efficiency. Three-dimensional response surface (<b>c</b>) and contour plot (<b>d</b>) of the concentration of urea and CaCl<sub>2</sub> on encapsulation efficiency.</p>
Full article ">Figure 3
<p>The normal plot of residuals (<b>a</b>), residuals vs. predicted plot (<b>b</b>) and predicted vs. actual plot (<b>c</b>) for water absorption.</p>
Full article ">Figure 4
<p>Three-dimensional response surface (<b>a</b>) and contour plot (<b>b</b>) of the concentration of SA and CMS on water absorption. Three-dimensional response surface (<b>c</b>) and contour plot (<b>d</b>) of the concentration of CMS and CaCl<sub>2</sub> on the water absorption.</p>
Full article ">
16 pages, 3311 KiB  
Article
Formulation-Property Effects in Novel Injectable and Resilient Natural Polymer-Based Hydrogels for Soft Tissue Regeneration
by Daniella Goder Orbach, Ilana Roitman, Geffen Coster Kimhi and Meital Zilberman
Polymers 2024, 16(20), 2879; https://doi.org/10.3390/polym16202879 - 12 Oct 2024
Viewed by 563
Abstract
The development of injectable hydrogels for soft tissue regeneration has gained significant attention due to their minimally invasive application and ability to conform precisely to the shape of irregular tissue cavities. This study presents a novel injectable porous scaffold based on natural polymers [...] Read more.
The development of injectable hydrogels for soft tissue regeneration has gained significant attention due to their minimally invasive application and ability to conform precisely to the shape of irregular tissue cavities. This study presents a novel injectable porous scaffold based on natural polymers that undergoes in situ crosslinking, forming a highly resilient hydrogel with tailorable mechanical and physical properties to meet the specific demands of soft tissue repair. By adjusting the formulation, we achieved a range of stiffness values that closely mimic the mechanical characteristics of native tissues while maintaining very high resilience (>90%). The effects of gelatin, alginate, and crosslinker concentrations, as well as porosity, on the hydrogel’s properties were elucidated. The main results indicated a compression modulus range of 2.7–89 kPa, which fits all soft tissues, and gelation times ranging from 5 to 30 s, which enable the scaffold to be successfully used in various operations. An increase in gelatin and crosslinker concentrations results in a higher modulus and lower gelation time, i.e., a stiffer hydrogel that is created in a shorter time. In vitro cell viability tests on human fibroblasts were performed and indicated high biocompatibility. Our findings demonstrate that these injectable hydrogel scaffolds offer a promising solution for enhancing soft tissue repair and regeneration, providing a customizable and resilient framework that is expected to support tissue integration and healing with minimal surgical intervention. Full article
(This article belongs to the Special Issue Biomedical Applications of Intelligent Hydrogel 2nd Edition)
Show Figures

Figure 1

Figure 1
<p>Elastic modulus of various soft tissues.</p>
Full article ">Figure 2
<p>Compression modulus of hydrogel cylinders with various concentrations of gelatin, alginate, and EDC (Gel-Al-EDC). Foaming ratios (polymer:air) are represented by different bar colors: <span style="color:#4472C4">■</span> non-foamed; <span style="color:#ED7D31">■</span> 2:1; <span style="color:#A5A5A5">■</span> 1.5:1; <span style="color:#FFC000">■</span> 1:1. A <span class="html-italic">p</span> value of &lt;0.05 and &lt;0.001 is marked with an * and **, respectively.</p>
Full article ">Figure 3
<p>Water uptake as percentage weight gain in 24 h as a measure of water uptake of hydrogels with different concentrations of gelatin, alginate, and EDC (Gel-Al-EDC). Foaming ratios (polymer:air) are represented by different colors: <span style="color:#4472C4">■</span> non-foamed; <span style="color:#ED7D31">■</span> 2:1; <span style="color:#A5A5A5">■</span> 1.5:1; <span style="color:#FFC000">■</span> 1:1.</p>
Full article ">Figure 4
<p>Compression modulus of hydrogel cylinders after 24 h of immersion in water. Hydrogel formulations are noted on the <span class="html-italic">x</span>-axis as Gel-Al-EDC, and foaming ratios (polymer:air) are represented by different bar colors: <span style="color:#4472C4">■</span> non-foamed; <span style="color:#ED7D31">■</span> 2:1; <span style="color:#A5A5A5">■</span> 1.5:1; <span style="color:#FFC000">■</span> 1:1. A <span class="html-italic">p</span> value of &lt;0.05 and &lt;0.001 is marked with an * and **, respectively.</p>
Full article ">Figure 5
<p>Reduction in compression modulus (%) as affected by the swelling degree. Formulations (Gel-Al-EDC) are represented by different bullet shapes: ● 200–15–10; ■ 200–15–20; ▲300–10–20; ♦ 300–15–20. Foaming ratios (polymer:air) are represented by different colors: blue for non-foamed; orange for 2:1; gray for 1.5:1; yellow for 1:1.</p>
Full article ">Figure 6
<p>Resilience of the hydrogels during 50 loading and unloading cycles. The formulations are noted above each graph, and foaming ratios (polymer:air) are represented by different colors: <span style="color:#4472C4">■</span> non-foamed; <span style="color:#ED7D31">■</span> 2:1; <span style="color:#A5A5A5">■</span> 1.5:1; <span style="color:#FFC000">■</span> 1:1.</p>
Full article ">Figure 7
<p>Gelation time of the hydrogels. Different formulations are noted on the <span class="html-italic">x</span>-axis as Gel-Al-EDC. Foaming ratios (polymer:air) are represented by different colors: <span style="color:#4472C4">■</span> non-foamed; <span style="color:#ED7D31">■</span> 2:1; <span style="color:#A5A5A5">■</span> 1.5:1; <span style="color:#FFC000">■</span> 1:1. A <span class="html-italic">p</span> value of &lt;0.05 and &lt;0.001 is marked with an * and **, respectively.</p>
Full article ">Figure 8
<p>The relationship between the compression modulus and gelation time. Formulations (Gel-Al-EDC) are represented by different bullet shapes: ● 200–15–10; ■ 200–15–20; ▲300–10–20; ♦ 300–15–20. Foaming ratios (polymer:air) are represented by different colors: blue for non-foamed; orange for 2:1; gray for 1.5:1; yellow for 1:1.</p>
Full article ">Figure 9
<p>Qualitative model illustrating the relationships between hydrogel components and its properties. Red arrows indicate a decreasing trend, and green arrows indicate an increasing trend. A solid line indicates a strong effect, and a dashed line indicates a weak effect.</p>
Full article ">Figure 10
<p>Cell viability of non-foamed hydrogels on human fibroblasts. Blue and gray bars show the results after 24- and 48-h incubation of the cells in hydrogel extracts, respectively. The green line marks 70% viability, which is considered by the FDA as the limit of cytotoxicity.</p>
Full article ">
22 pages, 7308 KiB  
Article
Dual-Self-Crosslinking Effect of Alginate-Di-Aldehyde with Natural and Synthetic Co-Polymers as Injectable In Situ-Forming Biodegradable Hydrogel
by Bushra Begum, Trideva Sastri Koduru, Syeda Noor Madni, Noor Fathima Anjum, Shanmuganathan Seetharaman, Balamuralidhara Veeranna and Vishal Kumar Gupta
Gels 2024, 10(10), 649; https://doi.org/10.3390/gels10100649 - 11 Oct 2024
Viewed by 560
Abstract
Injectable, in situ-forming hydrogels, both biocompatible and biodegradable, have garnered significant attention in tissue engineering due to their potential for creating adaptable scaffolds. The adaptability of these hydrogels, made from natural proteins and polysaccharides, opens up a world of possibilities. In this study, [...] Read more.
Injectable, in situ-forming hydrogels, both biocompatible and biodegradable, have garnered significant attention in tissue engineering due to their potential for creating adaptable scaffolds. The adaptability of these hydrogels, made from natural proteins and polysaccharides, opens up a world of possibilities. In this study, sodium alginate was used to synthesize alginate di-aldehyde (ADA) through periodate oxidation, resulting in a lower molecular weight and reduced viscosity, with different degrees of oxidation (54% and 70%). The dual-crosslinking mechanism produced an injectable in situ hydrogel. Initially, physical crosslinking occurred between ADA and borax via borax complexation, followed by chemical crosslinking with gelatin through a Schiff’s base reaction, which takes place between the amino groups of gelatin and the aldehyde groups of ADA, without requiring an external crosslinking agent. The formation of Schiff’s base was confirmed by Fourier-transform infrared (FT-IR) spectroscopy. At the same time, the aldehyde groups in ADA were characterized using FT-IR, proton nuclear magnetic resonance (¹H NMR), and gel permeation chromatography (GPC), which determined its molecular weight. Furthermore, borax complexation was validated through boron-11 nuclear magnetic resonance (¹¹B NMR). The hydrogel formulation containing 70% ADA, polyethylene glycol (PEG), and 9% gelatin exhibited a decreased gelation time at physiological temperature, attributed to the increased gelatin content and higher degree of oxidation. Rheological analysis mirrored these findings, showing a correlation with gelation time. The swelling capacity was also enhanced due to the increased oxidation degree of PEG and the system’s elevated gelatin content and hydrophilicity. The hydrogel demonstrated an average pore size of 40–60 µm and a compressive strength of 376.80 kPa. The lower molecular weight and varied pH conditions influenced its degradation behavior. Notably, the hydrogel’s syringeability was deemed sufficient for practical applications, further enhancing its potential in tissue engineering. Given these properties, the 70% ADA/gelatin/PEG hydrogel is a promising candidate and a potential game-changer for injectable, self-crosslinking applications in tissue engineering. Its potential to revolutionize the field is inspiring and should motivate further exploration. Full article
Show Figures

Figure 1

Figure 1
<p>Alginate-di-aldehyde (ADA) was synthesized by oxidation reaction from sodium alginate using sodium metaperiodate as an oxidizing agent in the ethanol–water system for 6 h in the dark at room temperature.</p>
Full article ">Figure 2
<p>The influence of reaction time on the oxidized degree of alginate: 54% ADA-5 h, 70% ADA-6 h.</p>
Full article ">Figure 3
<p>GPC Chromatograms of (<b>a</b>) sodium alginate and (<b>b</b>) ADA 70% and (<b>c</b>) ADA54% the GPC chromatograms represent a significant difference when compared with sodium alginate, 70% ADA, and 54% ADA (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 4
<p>NMR spectra of (<b>A</b>) alginate and (<b>B</b>) ADA.</p>
Full article ">Figure 5
<p><sup>11</sup>B NMR spectra of (<b>a</b>) 0.1 M boric acid, (<b>b</b>) 0.1 M borax, and (<b>c</b>) ADA in 0.1 M borax.</p>
Full article ">Figure 6
<p>FTIR spectra of (<b>A</b>) sodium alginate, (<b>B</b>) alginate di-aldehyde, (<b>C</b>) gelatin, (<b>D</b>) PEG, and (<b>E</b>) ADA + GEL and (<b>F</b>) ADA + GEL + PEG. (The bands are in representations of cm<sup>−1</sup>).</p>
Full article ">Figure 7
<p>Formation of ADA-gelatin hydrogel in the presence of borax.</p>
Full article ">Figure 8
<p>(<b>a</b>) Gelling time and gelling temperature of hydrogels. (<b>b</b>) Rheological property analysis of storage moduli (G)′ and loss moduli (G)″ of 70% ADA + GEL + PEG as a function of time after mixing AD and gelatin under constant shear rate at 25 °C.</p>
Full article ">Figure 9
<p>Swelling ratio and degree of crosslinking of A1 and A2 hydrogels.</p>
Full article ">Figure 10
<p>(<b>a</b>) Degradation of A1 hydrogel and (<b>b</b>) A2 hydrogel at 37 °C for different days and different pHs.</p>
Full article ">Figure 11
<p>The compressive stress–strain curves of A2, A1, 70% ADA + GEL, and 54% ADA + GEL. When force was applied, there was a significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 12
<p>Photographs of hydrogels with the compressive strains of 80%: (<b>a</b>) photograph of (70%) ADA + GEL completely crushed, (<b>b</b>) (54%) ADA + GEL completely crushed, (<b>c</b>) 54% ADA + GEL + PEG with reduced recoverability, and (<b>d</b>) 70% ADA + GEL + PEG with good recoverability.</p>
Full article ">Figure 13
<p>SEM images of 70% ADA + GEL + PEG hydrogel.</p>
Full article ">
37 pages, 16800 KiB  
Review
An Overview of Microorganisms Immobilized in a Gel Structure for the Production of Precursors, Antibiotics, and Valuable Products
by Dmitriy Berillo, Turganova Malika, Baiken B. Baimakhanova, Amankeldi K. Sadanov, Vladimir E. Berezin, Lyudmila P. Trenozhnikova, Gul B. Baimakhanova, Alma A. Amangeldi and Bakhytzhan Kerimzhanova
Gels 2024, 10(10), 646; https://doi.org/10.3390/gels10100646 - 10 Oct 2024
Viewed by 734
Abstract
Using free microorganisms for industrial processes has some limitations, such as the extensive consumption of substrates for growth, significant sensitivity to the microenvironment, and the necessity of separation from the product and, therefore, the cyclic process. It is widely acknowledged that confining or [...] Read more.
Using free microorganisms for industrial processes has some limitations, such as the extensive consumption of substrates for growth, significant sensitivity to the microenvironment, and the necessity of separation from the product and, therefore, the cyclic process. It is widely acknowledged that confining or immobilizing cells in a matrix or support structure enhances enzyme stability, facilitates recycling, enhances rheological resilience, lowers bioprocess costs, and serves as a fundamental prerequisite for large-scale applications. This report summarizes the various cell immobilization methods, including several synthetic (polyvinylalcohol, polyethylenimine, polyacrylates, and Eudragit) and natural (gelatin, chitosan, alginate, cellulose, agar–agar, carboxymethylcellulose, and other polysaccharides) polymeric materials in the form of thin films, hydrogels, and cryogels. Advancements in the production of well-known antibiotics like penicillin and cephalosporin by various strains were discussed. Additionally, we highlighted cutting-edge research related to strain producers of peptide-based antibiotics (polymyxin B, Subtilin, Tyrothricin, varigomycin, gramicidin S, friulimicin, and bacteriocin), glusoseamines, and polyene derivatives. Crosslinking agents, especially covalent linkers, significantly affect the activity and stability of biocatalysts (penicillin G acylase, penicillinase, deacetoxycephalosporinase, L-asparaginase, β-glucosidase, Xylanase, and urease). The molecular weight of polymers is an important parameter influencing oxygen and nutrient diffusion, the kinetics of hydrogel formation, rigidity, rheology, elastic moduli, and other mechanical properties crucial for long-term utilization. A comparison of stability and enzymatic activity between immobilized enzymes and their free native counterparts was explored. The discussion was not limited to recent advancements in the biopharmaceutical field, such as microorganism or enzyme immobilization, but also extended to methods used in sensor and biosensor applications. In this study, we present data on the advantages of cell and enzyme immobilization over microorganism (bacteria and fungi) suspension states to produce various bioproducts and metabolites—such as antibiotics, enzymes, and precursors—and determine the efficiency of immobilization processes and the optimal conditions and process parameters to maximize the yield of the target products. Full article
(This article belongs to the Special Issue Gel Film and Its Wide Range of Applications)
Show Figures

Figure 1

Figure 1
<p>The experimental set-up of PVA–cryogels with immobilized nitrifier use and the effect of various mixing regimes on cell survival. Reproduced with permission [<a href="#B116-gels-10-00646" class="html-bibr">116</a>].</p>
Full article ">Figure 2
<p>A general schema of the classification of microorganism-immobilization methods.</p>
Full article ">Figure 3
<p>The scheme of covalent laccase immobilization on polyacrylamide-alginate cryogel. Adapted with permission [<a href="#B129-gels-10-00646" class="html-bibr">129</a>].</p>
Full article ">Figure 4
<p>A schematic illustration of enzyme entrapment in gels. (<b>A</b>) Sol–gel (silica gel); (<b>B</b>) polymerization; (<b>C</b>) crosslinking biopolymer; (<b>D</b>) supra-molecular assembly (low-molecular-weight gel).</p>
Full article ">Figure 5
<p>A scheme of gel preparation and following enzyme immobilization to fabricate an efficient platform with enhanced catalytic activity for portable glucose biosensing. Adapted with permission [<a href="#B133-gels-10-00646" class="html-bibr">133</a>].</p>
Full article ">Figure 6
<p>Examples of chemical reaction schemes for laccase enzyme-assisted gel formation. Reproduced with permission [<a href="#B139-gels-10-00646" class="html-bibr">139</a>].</p>
Full article ">Figure 7
<p>The process of catalyzing the conversion of pre-gelators and the surface modification for enzyme immobilization: (<b>a</b>) the transformation of the pre-gelators Fmoc-serin (1) and PheC(=O) NH<sub>2</sub> (2) into the gelator Fmoc-Ser-Phe-C(=O)NH<sub>2</sub> (3) catalyzed by thermolysin. (<b>b</b>) Interface alteration involves using (4) polydopamine, (5) <b>pyrogallol</b>, or (6) polyphenols followed by enzyme immobilization. (<b>c</b>) Reversible and irreversible biomolecule immobilization on improved surfaces is depicted for bio-catalytic self-assembly. Adapted with permission [<a href="#B144-gels-10-00646" class="html-bibr">144</a>].</p>
Full article ">Figure 8
<p>Urease immobilization with Poly(AAm-AGE)-based cryogels. Adapted with permission [<a href="#B159-gels-10-00646" class="html-bibr">159</a>].</p>
Full article ">Figure 9
<p>The urease-immobilization strategy. Adapted with permission [<a href="#B160-gels-10-00646" class="html-bibr">160</a>].</p>
Full article ">
17 pages, 4568 KiB  
Article
The Effect of Multilayer Nanoemulsion on the In Vitro Digestion and Antioxidant Activity of β-Carotene
by Mei Zi Sun, Do-Yeong Kim, Youjin Baek and Hyeon Gyu Lee
Antioxidants 2024, 13(10), 1218; https://doi.org/10.3390/antiox13101218 - 10 Oct 2024
Viewed by 456
Abstract
The objectives of this study were to design multilayer oil-in-water nanoemulsions using a layer-by-layer technique to enhance the stability of β-carotene and evaluate its effect on in vitro release and antioxidant activity. To prepare β-carotene-loaded multilayer nanoemulsions (NEs), a primary NE (PRI-NE) using [...] Read more.
The objectives of this study were to design multilayer oil-in-water nanoemulsions using a layer-by-layer technique to enhance the stability of β-carotene and evaluate its effect on in vitro release and antioxidant activity. To prepare β-carotene-loaded multilayer nanoemulsions (NEs), a primary NE (PRI-NE) using Tween 20 was coated with chitosan (CS) for the secondary NE (SEC-CS), and with dextran sulfate (DS) and sodium alginate (SA) for the two types of tertiary NEs (TER-DS, TER-SA). The multilayer NEs ranged in particle size from 92 to 110 nm and exhibited high entrapment efficiency (92–99%). After incubation in a simulated gastrointestinal tract model, the release rate of free fatty acids decreased slightly after coating with CS, DS, and SA. The bioaccessibility of β-carotene was 7.02% for the PRI-NE, 7.96% for the SEC-CS, 10.88% for the TER-DS, and 10.25% for the TER-SA. The 2,2-diphenyl-1-picrylhydrazyl radical scavenging abilities increased by 1.2 times for the multilayer NEs compared to the PRI-NE. In addition, the cellular antioxidant abilities improved by 1.8 times for the TER-DS (87.24%) compared to the PRI-NE (48.36%). Therefore, multilayer nanoemulsions are potentially valuable techniques to improve the stability, in vitro digestion, and antioxidant activity of β-carotene. Full article
(This article belongs to the Section Natural and Synthetic Antioxidants)
Show Figures

Figure 1

Figure 1
<p>Dependence of the particle size (<b>a</b>), PDI (<b>a</b>), DCR (<b>b</b>), and zeta potential (<b>b</b>) on chitosan concentration for primary nanoemulsions. Significant differences in the primary nanoemulsion’s particle size or zeta potential values depending on the concentration of CS were demonstrated with different capital letters (<span class="html-italic">p</span> &lt; 0.05). Significant differences in the primary nanoemulsion’s PDI or DCR depending on the concentration of CS were demonstrated with different lowercase letters (<span class="html-italic">p</span> &lt; 0.05). Measurement was performed in triplicate, and the results are expressed as the mean and standard deviation.</p>
Full article ">Figure 2
<p>Dependence of the particle size (<b>a</b>), PDI (<b>a</b>), DCR (<b>b</b>), and zeta potential (<b>b</b>) on dextran sulfate concentration for secondary nanoemulsions at a chitosan concentration of 0.25% (<span class="html-italic">w</span>/<span class="html-italic">w</span>). Significant differences in the primary nanoemulsion’s particle size or zeta potential values depending on the concentration of CS were demonstrated with different capital letters (<span class="html-italic">p</span> &lt; 0.05). Significant differences in the primary nanoemulsion’s PDI or DCR depending on the concentration of CS were demonstrated with different lowercase letters (<span class="html-italic">p</span> &lt; 0.05). Measurement was performed in triplicate, and the results are expressed as the mean and standard deviation.</p>
Full article ">Figure 3
<p>Dependence of the particle size (<b>a</b>), PDI (<b>a</b>), DCR (<b>b</b>), and zeta potential (<b>b</b>) on SA concentration for secondary nanoemulsions at a chitosan concentration of 0.25% (<span class="html-italic">w</span>/<span class="html-italic">w</span>). Significant differences in the primary nanoemulsion’s particle size or zeta potential values depending on the concentration of CS were demonstrated with different capital letters (<span class="html-italic">p</span> &lt; 0.05). Significant differences in the primary nanoemulsion’s PDI or DCR depending on the concentration of CS were demonstrated with different lowercase letters (<span class="html-italic">p</span> &lt; 0.05). Measurement was performed in triplicate, and the results are expressed as the mean and standard deviation.</p>
Full article ">Figure 4
<p>EE of PRI-NE, SEC-NE, TER-DS, and TER-SA. <sup>A</sup> Mean with letter is significantly different (<span class="html-italic">p</span> &lt; 0.05). Key: PRI-NE = primary nanoemulsion; SEC-CS = secondary nanoemulsion coated with chitosan; TER-DS = tertiary nanoemulsion coated with dextran sulfate sodium salt; TER-SA = tertiary nanoemulsion coated with alginic acid sodium salt. Measurement was performed in triplicate, and the results are expressed as the mean and standard deviation.</p>
Full article ">Figure 5
<p>Cell viabilities of HEK293 cells treated with β-carotene-loaded multilayer nanoemulsions. Key: PRI-NE = primary nanoemulsion; SEC-CS = secondary nanoemulsion coated with chitosan; TER-DS = tertiary nanoemulsion coated with dextran sulfate sodium salt; TER-SA = tertiary nanoemulsion coated with alginic acid sodium salt. Measurement was performed in triplicate, and the results are expressed as the mean and standard deviation.</p>
Full article ">Figure 6
<p>Influence of simulated gastrointestinal conditions on the zeta potential of β-carotene-loaded multilayer nanoemulsions. Key: PRI-NE = primary nanoemulsion; SEC-CS = secondary nanoemulsion coated with chitosan; TER-DS = tertiary nanoemulsion coated with dextran sulfate sodium salt; TER-SA = tertiary nanoemulsion coated with alginic acid sodium salt. Measurement was performed in triplicate, and the results are expressed as the mean and standard deviation.</p>
Full article ">Figure 7
<p>Influence of simulated gastrointestinal conditions on the mean particle size of β-carotene-loaded multilayer nanoemulsions. Key: PRI-NE = primary nanoemulsion; SEC-CS = secondary nanoemulsion coated with chitosan; TER-DS = tertiary nanoemulsion coated with dextran sulfate sodium salt; TER-SA = tertiary nanoemulsion coated with alginic acid sodium salt. Measurement was performed in triplicate, and the results are expressed as the mean and standard deviation.</p>
Full article ">Figure 8
<p>Influence of the types of multilayer nanoemulsions on in vitro digestion under simulated small intestinal conditions. Key: PRI-NE = primary nanoemulsion; SEC-CS = secondary nanoemulsion coated with chitosan; TER-DS = tertiary nanoemulsion coated with dextran sulfate sodium salt; TER-SA = tertiary nanoemulsion coated with alginic acid sodium salt. Measurement was performed in triplicate, and the results are expressed as the mean and standard deviation.</p>
Full article ">Figure 9
<p>Influence of the types of multilayer nanoemulsions on the bioaccessibility (%) of β-carotene after in vitro digestion. <sup>A,B</sup> Means with different letters are significantly different (<span class="html-italic">p</span> &lt; 0.05). Key: PRI-NE = primary nanoemulsion; SEC-CS = secondary nanoemulsion coated with chitosan; TER-DS = tertiary nanoemulsion coated with dextran sulfate sodium salt; TER-SA = tertiary nanoemulsion coated with alginic acid sodium salt. Measurement was performed in triplicate, and the results are expressed as the mean and standard deviation.</p>
Full article ">Figure 10
<p>The DPPH radical scavenging activities of β-carotene-loaded multilayer nanoemulsions. <sup>A–C</sup> Means with different letters are significantly different (<span class="html-italic">p</span> &lt; 0.05). Key: PRI-NE = primary nanoemulsion; SEC-CS = secondary nanoemulsion coated with chitosan; TER-DS = tertiary nanoemulsion coated with dextran sulfate sodium salt; TER-SA = tertiary nanoemulsion coated with alginic acid sodium salt. Measurement was performed in triplicate, and the results are expressed as the mean and standard deviation.</p>
Full article ">Figure 11
<p>The CAA values of β-carotene-loaded multilayer nanoemulsions. <sup>A–C</sup> Means with different letters are significantly different (<span class="html-italic">p</span> &lt; 0.05). Key: PRI-NE = primary nanoemulsion; SEC-CS = secondary nanoemulsion coated with chitosan; TER-DS = tertiary nanoemulsion coated with dextran sulfate sodium salt; TER-SA = tertiary nanoemulsion coated with alginic acid sodium salt. Measurement was performed in triplicate, and the results are expressed as the mean and standard deviation.</p>
Full article ">
22 pages, 5099 KiB  
Article
Capparis sepiaria-Loaded Sodium Alginate Single- and Double-Layer Membrane Composites for Wound Healing
by Sindi P. Ndlovu, Keolebogile S. C. M. Motaung, Mapula Razwinani, Sibusiso Alven, Samson A. Adeyemi, Philemon N. Ubanako, Lindokuhle M. Ngema, Thierry Y. Fonkui, Derek T. Ndinteh, Pradeep Kumar, Yahya E. Choonara and Blessing A. Aderibigbe
Pharmaceutics 2024, 16(10), 1313; https://doi.org/10.3390/pharmaceutics16101313 - 10 Oct 2024
Viewed by 550
Abstract
Background: Effective wound dressing is the key solution to combating the increased death rate and prolonged hospital stay common to patients with wounds. Methods: Sodium alginate-based single- and double-layer membranes incorporated with Capparis sepiaria root extract were designed using the solvent-casting [...] Read more.
Background: Effective wound dressing is the key solution to combating the increased death rate and prolonged hospital stay common to patients with wounds. Methods: Sodium alginate-based single- and double-layer membranes incorporated with Capparis sepiaria root extract were designed using the solvent-casting method from a combination of polyvinyl alcohol (PVA), Pluronic F127 (PF127), and gum acacia. Results: The successful preparation of the membranes and loading of the extract were confirmed using Fourier transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD). The prepared membranes were biodegradable and non-toxic to human skin cells (HaCaT), with high biocompatibility of 92 to 112% cell viability and good hemocompatibility with absorbance ranging from 0.17 to 0.30. The membrane’s highest water vapor transmission rate was 1654.7333 ± 0.736 g/m2/day and the highest % porosity was 76%. The membranes supported cellular adhesion and migration, with the highest closure being 68% after 4 days compared with the commercial wound dressings. This membrane exhibited enhanced antimicrobial activity against the pathogens responsible for wound infections. Conclusions: The distinct features of the membranes make them promising wound dressings for treating infected wounds. Full article
Show Figures

Figure 1

Figure 1
<p>The FTIR spectra for the prepared SLMs and DLMs.</p>
Full article ">Figure 2
<p>The SEM images for the prepared membranes and <span class="html-italic">Capparis sepiaria</span> extract.</p>
Full article ">Figure 3
<p>XRD for the prepared SLMs and DLMs.</p>
Full article ">Figure 4
<p>Cell viability of HaCaT cells treated with the selected membranes (DLM0, DLM2, DLM4, DLM6, DLM9, SLM3, SLM5, and SLM11), control (commercial wound dressing), and plant extract after 48 h; testing was conducted using an MTT assay at a wavelength of 570 nm.</p>
Full article ">Figure 5
<p>The absorbances of the membranes (DLM0, DLM2. DLM4, DLM6, DLM9, SLM3, SLM5, and SLM11), commercial wound dressing (COM), and <span class="html-italic">Capparis sepiaria</span> plant extract (EXT) were compared to whole blood (WB) at 540 nm, i.e., <span class="html-italic">p</span> &lt; 0.0001–0.0018, with a 95% confidence interval.</p>
Full article ">Figure 6
<p>The images of membranes (DLM2, DLM4, and SLM3), the control, and untreated cells for the wound healing scratch assay.</p>
Full article ">
23 pages, 1533 KiB  
Review
Seaweed as a Valuable and Sustainable Resource for Food Packaging Materials
by Aleksandra Nesic, Sladjana Meseldzija, Sergio Benavides, Fabián A. Figueroa and Gustavo Cabrera-Barjas
Foods 2024, 13(19), 3212; https://doi.org/10.3390/foods13193212 - 9 Oct 2024
Viewed by 645
Abstract
Plastic food packaging causes massive pollution in the environment via resource extraction, gas emissions, and the enduring plastic waste accumulation. Hence, it is of crucial importance to discover sustainable alternatives in order to protect ecosystems and conserve precious resources. Recently, seaweed has been [...] Read more.
Plastic food packaging causes massive pollution in the environment via resource extraction, gas emissions, and the enduring plastic waste accumulation. Hence, it is of crucial importance to discover sustainable alternatives in order to protect ecosystems and conserve precious resources. Recently, seaweed has been emerging as a promising sustainable solution to plastic pollution. Seaweed is a fast-growing marine plant that is abundant in tropical coastlines and requires minimal resources to cultivate. In addition, seaweed is rich in valuable polysaccharides such as alginate, fucoidan, carrageenan, agar, and ulva, which can be extracted and processed into biodegradable films, coatings, and wraps. This ability allows the creation of an alternative to plastic food packages that are completely biodegradable, made from renewable resources, and do not linger in landfills or oceans for centuries. In this context, this review discusses the main classification of seaweed, their production and abundance in the world, and provides a summary of seaweed-based materials developed in the last 2–5 years for potential usage in the food packaging sector. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Different types of seaweed.</p>
Full article ">Figure 2
<p>The top ten countries in the world for production of seaweed in tons [<a href="#B33-foods-13-03212" class="html-bibr">33</a>,<a href="#B34-foods-13-03212" class="html-bibr">34</a>].</p>
Full article ">Figure 3
<p>The scheme of processing of seaweed-based food packaging materials.</p>
Full article ">Figure 4
<p>Seaweed-based packaging on the market.</p>
Full article ">
25 pages, 3187 KiB  
Article
Characterization of Unfractionated Polysaccharides in Brown Seaweed by Methylation-GC-MS-Based Linkage Analysis
by Barinder Bajwa, Xiaohui Xing, Spencer C. Serin, Maria Hayes, Stephanie A. Terry, Robert J. Gruninger and D. Wade Abbott
Mar. Drugs 2024, 22(10), 464; https://doi.org/10.3390/md22100464 - 9 Oct 2024
Viewed by 940
Abstract
This study introduces a novel approach to analyze glycosidic linkages in unfractionated polysaccharides from alcohol-insoluble residues (AIRs) of five brown seaweed species. GC-MS analysis of partially methylated alditol acetates (PMAAs) enables monitoring and comparison of structural variations across different species, harvest years, and [...] Read more.
This study introduces a novel approach to analyze glycosidic linkages in unfractionated polysaccharides from alcohol-insoluble residues (AIRs) of five brown seaweed species. GC-MS analysis of partially methylated alditol acetates (PMAAs) enables monitoring and comparison of structural variations across different species, harvest years, and tissues with and without blanching treatments. The method detects a wide array of fucose linkages, highlighting the structural diversity in glycosidic linkages and sulfation position in fucose-containing sulfated polysaccharides. Additionally, this technique enhances cellulose quantitation, overcoming the limitations of traditional monosaccharide composition analysis that typically underestimates cellulose abundance due to incomplete hydrolysis of crystalline cellulose. The introduction of a weak methanolysis-sodium borodeuteride reduction pretreatment allows for the detection and quantitation of uronic acid linkages in alginates. Full article
(This article belongs to the Special Issue High-Value Algae Products)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>GC-TIC chromatograms of PMAAs from the AIRs of HE: (<b>A</b>) without the pretreatment of weak methanolysis-sodium borodeuteride reduction before methylation and (<b>B</b>) pretreated with weak methanolysis-sodium borodeuteride reduction before methylation.</p>
Full article ">Figure 2
<p>EI-MS spectra and ion fragmentation patterns of PMAAs from (<b>A</b>) 4-Gul<span class="html-italic">p</span>A, (<b>B</b>) 4-Man<span class="html-italic">p</span>A, (<b>C</b>) 3-Fuc<span class="html-italic">p</span>, (<b>D</b>) 4-Fuc<span class="html-italic">p</span>, (<b>E</b>) 2,3-Fuc<span class="html-italic">p</span>, (<b>F</b>) 3,4-Fuc<span class="html-italic">p</span>, (<b>G</b>) 2,4-Fuc<span class="html-italic">p</span>, and (<b>H</b>) 2,3,4-Fuc<span class="html-italic">p</span> in HE.</p>
Full article ">Figure 3
<p>Relative compositions of (<b>A</b>) monosaccharides and (<b>B</b>) polysaccharides calculated from linkage compositions of AIRs of five brown seaweed species. UA: uronic acids; Man: mannose; Xyl: xylose; Gal: galactose; Glc: glucose; Fuc: fucose; Rha: rhamnose; Ara: arabinose; NA: unassigned linkages; CE: cellulose; LM: laminarin; SF: sulfated fucan. HE was harvested in Q4 of 2020, and FV was harvested in 2020. AM, MT, and SL were harvested in Q2 of 2021. All samples were unblanched.</p>
Full article ">Figure 4
<p>Relative compositions of (<b>A</b>) monosaccharides and (<b>B</b>) polysaccharides calculated from linkage compositions of AIRs of the receptacle, blade, and stipe of MT harvested in 2021 without blanching. UA: uronic acids; Man: mannose; Xyl: xylose; Gal: galactose; Glc: glucose; Fuc: fucose; Rha: rhamnose; Ara: arabinose; NA: unassigned linkages; CE: cellulose; LM: laminarin; SF: sulfated fucan; AL: alginate.</p>
Full article ">Figure 5
<p>Relative compositions of (<b>A</b>) monosaccharides and (<b>B</b>) polysaccharides calculated from linkage compositions of AIRs of AM and SL in 2021 and 2022. UA: uronic acids; Man: mannose; Xyl: xylose; Gal: galactose; Glc: glucose; Fuc: fucose; Rha: rhamnose; Ara: arabinose; NA: unassigned linkages; CE: cellulose; LM: laminarin; SF: sulfated fucan; AL: alginate.</p>
Full article ">Figure 6
<p>Bubble plots showing fold changes in glycosidic linkages: (<b>A</b>) between 2021 and 2022 harvests of AM and SL and (<b>B</b>) between blanched and unblanched samples of AM, SL, and the receptacle (R), blade (B), and stipe (S) of MT harvested in 2021. Fold values were calculated as the ratio of the maximum to minimum of each pair of compositions for each linkage, excluding trace-level linkages. Bubble size represents fold value, while bubble color indicates the difference in the pair: coral signifies higher linkage compositions in 2021 compared to 2022 in panel <b>A</b> and in unblanched compared to blanched samples in panel <b>B</b>, while turquoise indicates the opposite.</p>
Full article ">Figure 7
<p>Relative compositions of (<b>A</b>) monosaccharides and (<b>B</b>) polysaccharides calculated from linkage compositions of AIRs of blanched and unblanched samples of AM and SL harvested in 2021. UA: uronic acids; Man: mannose; Xyl: xylose; Gal: galactose; Glc: glucose; Fuc: fucose; Rha: rhamnose; Ara: arabinose; NA: unassigned linkages; CE: cellulose; LM: laminarin; SF: sulfated fucan; AL: alginate. B and U represent blanched and unblanched samples, respectively.</p>
Full article ">
16 pages, 6111 KiB  
Article
Removal of Pb(II) and Cd(II) from a Monometallic Contaminated Solution by Modified Biochar-Immobilized Bacterial Microspheres
by Zaiquan Li, Xu Xiao, Tao Xu, Shiyu Chu, Hui Wang and Ke Jiang
Molecules 2024, 29(19), 4757; https://doi.org/10.3390/molecules29194757 - 8 Oct 2024
Viewed by 384
Abstract
Lead (Pb) and cadmium (Cd) are toxic pollutants that are prevalent in wastewater and pose a serious threat to the natural environment. In this study, a new immobilized bacterial microsphere (CYB-SA) was prepared from corn stalk biochar and Klebsiella grimontii by sodium alginate [...] Read more.
Lead (Pb) and cadmium (Cd) are toxic pollutants that are prevalent in wastewater and pose a serious threat to the natural environment. In this study, a new immobilized bacterial microsphere (CYB-SA) was prepared from corn stalk biochar and Klebsiella grimontii by sodium alginate encapsulation and vacuum freeze-drying technology. The removal effect of CYB-SA on Pb(II) and Cd(II) in a monometallic contaminated solution was studied. The results showed that the removal of Pb(II) and Cd(II) by CYB-SA was 99.14% and 83.35% at a dosage of 2.0 g/L and pH = 7, respectively, which was 10.77% and 18.58% higher than that of biochar alone. According to the Langmuir isotherm model, the maximum adsorption capacities of Pb(II) and Cd(II) by CYB-SA at 40 °C were 278.69 mg/g and 71.75 mg/g, respectively. A combination of the kinetic model, the isothermal adsorption model, scanning electron microscopy–energy dispersive X-ray spectroscopy (SEM-EDS), X-ray photoelectron spectroscopy (XPS) and Fourier-transform infrared spectroscopy (FTIR) analyses showed that the main adsorption mechanisms of CYB-SA encompass functional group complexation, ion exchange, electrostatic attraction and physical adsorption. The findings of this study offer practical and theoretical insights into the development of highly efficient adsorbents for heavy metals. Full article
(This article belongs to the Special Issue Advancements in Adsorbent Materials for Water Purification)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Effects of different adsorption materials on removal rates. (Note: Lowercase letters above the error bars indicate significant differences among different treatments (<span class="html-italic">p</span> &lt; 0.05)).</p>
Full article ">Figure 2
<p>Effects of different pH on adsorption of Pb(II) (<b>a</b>) and Cd(II) (<b>b</b>). (Note: Lowercase letters above the error bars indicate significant differences among different treatments (<span class="html-italic">p</span> &lt; 0.05)).</p>
Full article ">Figure 3
<p>Effects of different CYB-SA addition amounts on adsorption of Pb(II) (<b>a</b>) and Cd(II) (<b>b</b>). (Note: Lowercase letters above the error bars indicate significant differences among different treatments (<span class="html-italic">p</span> &lt; 0.05)).</p>
Full article ">Figure 4
<p>Adsorption kinetics of Pb(II) (<b>a</b>) and Cd(II) (<b>b</b>), the isothermal adsorption process of Pb(II) (<b>c</b>) and Cd(II) (<b>d</b>), intraparticle diffusion (<b>e</b>), and adsorption thermodynamics (<b>f</b>).</p>
Full article ">Figure 5
<p>SEM-EDS diagram before and after CYB-SA adsorption.</p>
Full article ">Figure 6
<p>FTIR diagram before and after CYB-SA adsorption.</p>
Full article ">Figure 7
<p>XPS spectra before and after adsorption of Pb(II), and Cd(II) by CYB-SA, Survey (<b>a</b>), C1s-CYB-SA (<b>b</b>), C1s-Pb(II) (<b>c</b>), C1s-Cd(II) (<b>d</b>), O1s-CYB-SA (<b>e</b>), O1s-Pb(II) (<b>f</b>), O1s-Cd(II) (<b>g</b>), Pb(II) (<b>h</b>), and Cd(II) (<b>i</b>).</p>
Full article ">
30 pages, 5249 KiB  
Review
Polysaccharide-Based Bioplastics: Eco-Friendly and Sustainable Solutions for Packaging
by Ashoka Gamage, Punniamoorthy Thiviya, Anuradhi Liyanapathiranage, M. L. Dilini Wasana, Yasasvi Jayakodi, Amith Bandara, Asanga Manamperi, Rohan S. Dassanayake, Philippe Evon, Othmane Merah and Terrence Madhujith
J. Compos. Sci. 2024, 8(10), 413; https://doi.org/10.3390/jcs8100413 - 8 Oct 2024
Viewed by 1109
Abstract
Over the past few decades, synthetic petroleum-based packaging materials have increased, and the production of plastics has surpassed all other man-made materials due to their versatility. However, the excessive usage of synthetic packaging materials has led to severe environmental and health-related issues due [...] Read more.
Over the past few decades, synthetic petroleum-based packaging materials have increased, and the production of plastics has surpassed all other man-made materials due to their versatility. However, the excessive usage of synthetic packaging materials has led to severe environmental and health-related issues due to their nonbiodegradability and their accumulation in the environment. Therefore, bio-based packages are considered alternatives to substitute synthetic petroleum-based packaging material. Furthermore, the choice of packing material in the food industry is a perplexing process as it depends on various factors, such as the type of food product, its sustainability, and environmental conditions. Interestingly, due to proven mechanical, gas, and water vapor barrier properties and biological activity, polysaccharide-based bioplastics show the potential to expand the trends in food packaging, including edible films or coatings and intelligent and active food packaging. Various chemical modifications, network designs, and processing techniques have transformed polysaccharide materials into valuable final products, particularly for large-scale or high-value applications. Transitioning from petroleum-based resources to abundant bio-based polysaccharides presents an opportunity to create a sustainable circular economy. The economic viability of polysaccharide-based bioplastics is determined by several factors, including raw material costs, production technologies, market demand, and scalability. Despite their potential advantages over traditional plastics, their economic feasibility is affected by continuous technological advancements and evolving market dynamics and regulations. This review discusses the structure, properties, and recent developments in polysaccharide-based bioplastics as green and sustainable food packaging materials. Full article
(This article belongs to the Special Issue Sustainable Biocomposites, Volume II)
Show Figures

Figure 1

Figure 1
<p>Biodegradable and Non-Biodegradable Plastics: Classification Based on Raw Material Origin.</p>
Full article ">Figure 2
<p>Classification of polysaccharides based on their origin.</p>
Full article ">Figure 3
<p>Structure of the amylose and amylopectin.</p>
Full article ">Figure 4
<p>Structure of alginic acid.</p>
Full article ">Figure 5
<p>Chemical structure of carrageenan: (<b>a</b>) κ, (<b>b</b>) iota, (<b>c</b>) lambda.</p>
Full article ">Figure 6
<p>Chemical structure of (<b>a</b>) chitin and (<b>b</b>) chitosan.</p>
Full article ">Figure 7
<p>Chemical structures of hyaluronic acid.</p>
Full article ">Figure 8
<p>Chemical structures of gellan gum.</p>
Full article ">Figure 9
<p>Chemical structures of Xanthan gum.</p>
Full article ">Figure 10
<p>Sources and possible health risks of different raw materials used for biopolymer production.</p>
Full article ">Figure 11
<p>Bioplastic production in terms of life cycle assessment.</p>
Full article ">
18 pages, 1635 KiB  
Article
Exploring Calcium Alginate-Based Gels for Encapsulation of Lacticaseibacillus paracasei to Enhance Stability in Functional Breadmaking
by Daiva Zadeike, Zydrune Gaizauskaite, Loreta Basinskiene, Renata Zvirdauskiene and Dalia Cizeikiene
Gels 2024, 10(10), 641; https://doi.org/10.3390/gels10100641 - 8 Oct 2024
Viewed by 511
Abstract
This study focuses on evaluating the efficiency of acid-tolerant Lacticaseibacillus paracasei bacteria encapsulated in an alginate-based gel matrix during repeated sourdough fermentation cycles, as well as their preservation during storage and throughout baking at high temperature. A double-coating procedure was applied, involving the [...] Read more.
This study focuses on evaluating the efficiency of acid-tolerant Lacticaseibacillus paracasei bacteria encapsulated in an alginate-based gel matrix during repeated sourdough fermentation cycles, as well as their preservation during storage and throughout baking at high temperature. A double-coating procedure was applied, involving the encapsulation of bacterial cells in calcium alginate, which was further coated with chitosan. The encapsulation efficiency (EE) did not show significant difference between alginate and alginate–chitosan (97.97 and 96.71%, respectively). The higher number of L. paracasei bacteria was preserved in double-coated microbeads, with survivability rates of 89.51% and 96.90% in wet and dried microbeads, respectively. Encapsulated bacteria demonstrated effective fermentation ability, while double gel-coated cells exhibited slower acidification during sourdough fermentation, maintaining higher efficiency in the second fermentation cycle. The addition of freeze-dried, alginate-based gel-encapsulated bacteria (2–4%, w/w flour) significantly (p < 0.05) improved bread quality and extended its shelf life. A double-layer coating (alginate–chitosan) can be introduced as an innovative strategy for regulating the release of lactic acid bacteria and optimizing fermentation processes. Powdered alginate or alginate–chitosan gel-based L. paracasei microcapsules, at appropriate concentrations, can be used in the production of baked goods with acceptable quality and sensory properties, achieving a lactic acid bacteria count of approximately 106 CFU/g in the crumb, thereby meeting the standard criteria for probiotic bakery products. Full article
(This article belongs to the Special Issue Advancements in Food Gelation: Exploring Mechanisms and Applications)
Show Figures

Figure 1

Figure 1
<p>The photo images of alginate gel- (<b>A</b>) and alginate–chitosan-coated (<b>B</b>) microcapsules.</p>
Full article ">Figure 2
<p>The freeze-dried alginate–chitosan (<b>A</b>,<b>B</b>) and alginate (<b>C</b>,<b>D</b>) microcapsules (optical microscope, 100×).</p>
Full article ">Figure 3
<p>Particle size distribution of the freeze-dried alginate microcapsules. Samples: Alg—alginate, Alg+Ch—alginate–chitosan. Dashed lines—average trend lines.</p>
Full article ">Figure 4
<p>Survivability of <span class="html-italic">L. paracasei</span> gels encapsulated in wet alginate (Alg) and alginate–chitosan (Alg+Ch) capsules during 45-day storage at 4 °C (<b>A</b>) and 20 °C (<b>B</b>) temperatures. Control—free <span class="html-italic">L. paracasei</span> cells. Mean values within a line with different letters are significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 5
<p>Survivability of <span class="html-italic">L. paracasei</span> during storage at temperatures of 4 °C (<b>A</b>) and 20 °C (<b>B</b>) of freeze-dried alginate (Alg) and alginate–chitosan (Alg+Ch) gel microcapsules. Mean values within a line with different letters are significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">
Back to TopTop