[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
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (11,449)

Search Parameters:
Keywords = zinc

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
26 pages, 3918 KiB  
Article
Recovery of Scots Pine Seedlings from Long-Term Zinc Toxicity
by Yury V. Ivanov, Alexandra I. Ivanova, Alexander V. Kartashov and Vladimir V. Kuznetsov
Plants 2024, 13(16), 2227; https://doi.org/10.3390/plants13162227 (registering DOI) - 11 Aug 2024
Abstract
We studied the recovery of the growth and physiological parameters of Scots pine seedlings after long-term zinc toxicity. The removal of excess zinc from the nutrient solution resulted in the rapid recovery of primary root growth but did not promote the initiation and [...] Read more.
We studied the recovery of the growth and physiological parameters of Scots pine seedlings after long-term zinc toxicity. The removal of excess zinc from the nutrient solution resulted in the rapid recovery of primary root growth but did not promote the initiation and growth of lateral roots. The recovery of root growth was accompanied by the rapid uptake of manganese, magnesium, and copper. Despite the maximum rate of manganese uptake by the roots, the manganese content in the needles of the recovering plants did not reach control values during the 28 days of the experiment, unlike magnesium, iron, and copper. In general, the recovery of ion homeostasis eliminated all of the negative effects on the photosynthetic pigment content in the needles. However, these changes, along with recovery of the water content in the needles, were not accompanied by an increase in the weight gain of the recovering seedlings compared with that of the Zn-stressed seedlings. The increased accumulation of phenolic compounds in the needles persisted for a long period after excess zinc was removed from the nutrient solution. The decreased lignin content in the roots and needles is a characteristic feature of Zn-stressed plants. Moreover, the removal of excess zinc from the nutrient solution did not lead to an increase in the lignin content in the organs. Full article
Show Figures

Figure 1

Figure 1
<p>The development of Scots pine seedlings throughout the experiment: (<b>a</b>) fresh weight; (<b>b</b>) dry weight; and (<b>c</b>) water content. Pairwise comparisons of the means with controls at corresponding time points were performed using the Student’s <span class="html-italic">t</span>-test for normally distributed data (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by asterisks (*)) or the Mann–Whitney rank sum test when the <span class="html-italic">t</span>-test was not applicable (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by multiplication symbols (×)). The significance of the variant (V), sampling time (T), and variant × time (V × T) interactions were calculated using 2-way ANOVA (<span class="html-italic">p</span> &lt; 0.05), with a circle (•) indicating a significant difference and “ns” indicating no significant difference.</p>
Full article ">Figure 2
<p>The development of the root system of Scots pine seedlings throughout the experiment: (<b>a</b>) primary root length; (<b>b</b>) number of first-order lateral roots; (<b>c</b>) distance from the tip of the primary root to the first lateral root; and (<b>d</b>) number of second-order lateral roots. Pairwise comparisons of the means with controls at corresponding time points were performed using the Student’s <span class="html-italic">t</span>-test for normally distributed data (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by asterisks (*)) or the Mann–Whitney rank sum test when the <span class="html-italic">t</span>-test was not applicable (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by multiplication symbols (×)). The significance of the variant (V), sampling time (T), and variant × time (V × T) interactions were calculated using 2-way ANOVA (<span class="html-italic">p</span> &lt; 0.05), with a circle (•) indicating a significant difference.</p>
Full article ">Figure 3
<p>The growth of the above-ground organs of Scots pine seedlings throughout the experiment: (<b>a</b>) hypocotyl diameter; (<b>b</b>) epicotyl length; and (<b>c</b>) number of needles. Pairwise comparisons of the means with controls at corresponding time points were performed using the Student’s <span class="html-italic">t</span>-test for normally distributed data (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by asterisks (*)) or the Mann–Whitney rank sum test when the <span class="html-italic">t</span>-test was not applicable (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by multiplication symbols (×)). The significance of the variant (V), sampling time (T), and variant × time (V × T) interactions were calculated using 2-way ANOVA (<span class="html-italic">p</span> &lt; 0.05), with a circle (•) indicating a significant difference and “ns” indicating no significant difference.</p>
Full article ">Figure 4
<p>The nutrient contents: (<b>a</b>,<b>b</b>) Zn; (<b>c</b>,<b>d</b>) Mg; (<b>e</b>,<b>f</b>) Fe; (<b>g</b>,<b>h</b>) Mn; and (<b>i</b>,<b>j</b>) Cu in the roots (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>,<b>i</b>) and needles (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>,<b>j</b>) of Scots pine seedlings throughout the experiment. Pairwise comparisons of the means with controls at corresponding time points were performed using the Student’s <span class="html-italic">t</span>-test for normally distributed data (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by asterisks (*)) or the Mann–Whitney rank sum test when the <span class="html-italic">t</span>-test was not applicable (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by multiplication symbols (×)).</p>
Full article ">Figure 5
<p>Heatmap analysis of low-molecular-weight antioxidant and lignin contents in the roots and needles of Scots pine seedlings during the experiment. The value of a given parameter in the control plants at the initial point was taken as 1.0 (white); the relative increase is indicated in green, and the relative decrease is indicated in red. Pairwise comparisons of the means with controls at corresponding time points were performed using the Student’s <span class="html-italic">t</span>-test for normally distributed data (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by asterisks (*)) or the Mann–Whitney rank sum test when the <span class="html-italic">t</span>-test was not applicable (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by multiplication symbols (×)).</p>
Full article ">Figure 6
<p>Lignin content in the epicotyls (after removing the needles) of the plants on the 28th day of the experiment. Statistical analyses of the data were performed with one-way ANOVA followed by Duncan’s post hoc test. Identical lowercase letters indicate that there are no differences between the experimental groups.</p>
Full article ">
18 pages, 4884 KiB  
Article
Genome-Wide Identification of B-Box Family Genes and Their Potential Roles in Seed Development under Shading Conditions in Rapeseed
by Si Chen, Yushan Qiu, Yannong Lin, Songling Zou, Hailing Wang, Huiyan Zhao, Shulin Shen, Qinghui Wang, Qiqi Wang, Hai Du, Jiana Li and Cunmin Qu
Plants 2024, 13(16), 2226; https://doi.org/10.3390/plants13162226 (registering DOI) - 11 Aug 2024
Abstract
B-box (BBX) proteins, a subfamily of zinc-finger transcription factors, are involved in various environmental signaling pathways. In this study, we conducted a comprehensive analysis of BBX family members in Brassica crops. The 482 BBX proteins were divided into five groups based on gene [...] Read more.
B-box (BBX) proteins, a subfamily of zinc-finger transcription factors, are involved in various environmental signaling pathways. In this study, we conducted a comprehensive analysis of BBX family members in Brassica crops. The 482 BBX proteins were divided into five groups based on gene structure, conserved domains, and phylogenetic analysis. An analysis of nonsynonymous substitutions and (Ka)/synonymous substitutions (Ks) revealed that most BBX genes have undergone purifying selection during evolution. An analysis of transcriptome data from rapeseed (Brassica napus) organs suggested that BnaBBX3d might be involved in the development of floral tissue-specific RNA-seq expression. We identified numerous light-responsive elements in the promoter regions of BnaBBX genes, which were suggestive of participation in light signaling pathways. Transcriptomic analysis under shade treatment revealed 77 BnaBBX genes with significant changes in expression before and after shading treatment. Of these, BnaBBX22e showed distinct expression patterns in yellow- vs. black-seeded materials in response to shading. UPLC-HESI-MS/MS analysis revealed that shading influences the accumulation of 54 metabolites, with light response BnaBBX22f expression correlating with the accumulation of the flavonoid metabolites M46 and M51. Additionally, BnaBBX22e and BnaBBX22f interact with BnaA10.HY5. These results suggest that BnaBBXs might function in light-induced pigment accumulation. Overall, our findings elucidate the characteristics of BBX proteins in six Brassica species and reveal a possible connection between light and seed coat color, laying the foundation for further exploring the roles of BnaBBX genes in seed development. Full article
(This article belongs to the Special Issue Molecular Genetics and Breeding of Oilseed Crops—2nd Edition)
Show Figures

Figure 1

Figure 1
<p>Phylogenetic tree of B-box genes from <span class="html-italic">Arabidopsis</span> and six <span class="html-italic">Brassica</span> U-triangle species. The phylogenetic tree, constructed using the protein matrix with iq-tree, is grouped into five clades (I–V) labeled with different colors. The phylogenetic tree was visualized using B-box genes from Arabidopsis, <span class="html-italic">B. rapa</span>, <span class="html-italic">B. nigra</span>, <span class="html-italic">B. oleracea</span>, <span class="html-italic">B. juncea</span>, <span class="html-italic">B. napus</span>, and <span class="html-italic">B. carinata</span>.</p>
Full article ">Figure 2
<p>WebLogos of conserved domains of BBX family members in six <span class="html-italic">Brassica</span> plants. (<b>A</b>–<b>C</b>) Typical WebLogos of B-box1, B-box2, and CCT domains in the A, B, and C subgenomes. The <span class="html-italic">x</span>-axis depicts the conserved sequences of the structural domains, where the height of each letter signifies the degree of conservation of each residue across all proteins. The <span class="html-italic">y</span>-axis indicates the relative entropy scale, which represents the conservation degree of each amino acid.</p>
Full article ">Figure 3
<p>Number of BBX family gene pairs in the six <span class="html-italic">Brassicaceae</span> species. (<b>A</b>) Number of BBX genes in <span class="html-italic">B. rapa</span> (Bra), <span class="html-italic">B. nigra</span> (Bni), <span class="html-italic">B. oleracea</span> (Bol), <span class="html-italic">B. napus</span> (Bna), <span class="html-italic">B. juncea</span> (Bju), and <span class="html-italic">B. carinata</span> (Bca). (<b>B</b>) Number of BBX family gene pairs in the A subgenome. (<b>C</b>) Number of BBX family gene pairs in the B subgenome. (<b>D</b>) Number of BBX family gene pairs in the C subgenome.</p>
Full article ">Figure 4
<p>Heatmap of the expression patterns of <span class="html-italic">BnaBBXs</span> across different tissues and organs. The expression profiles of each <span class="html-italic">BnaBBX</span> gene are based on log2-transformed values (FPKM value + 1). FPKM, fragments per kilobase of exon model per million mapped fragments; DAF, days after flowering.</p>
Full article ">Figure 5
<p>Expression patterns of BnaBBXs under shading conditions. (<b>A</b>,<b>B</b>) Phenotypes of L1262 (<b>A</b>) and L1263 (<b>B</b>) seeds under shading conditions (TR) and control conditions (CK, seeds under normal conditions) at different time points. D, days after shading. Scale bars, 2 mm. (<b>C</b>) Phenotypes of mature L1262 and L1263 seeds under shading conditions and the corresponding controls. Scale bars, 2 mm. (<b>D</b>) Heatmap of RNA-seq data of BnaBBX genes of seeds under shading. Three biological replicates for each type of sample were used. The transcriptome data of each <span class="html-italic">BnaBBX</span> gene are based on log<sub>2</sub>-transformed values (FPKM value + 1); (<b>D</b>) days after shading. (<b>E</b>) Venn diagram of genes with significant changes in expression (TR/CK, fold change ≥ 2 or fold change ≤ 0.5) before and after shading. (<b>F</b>) qRT-PCR analysis of BnaBBX family genes. The expression level of BnaActin7 was used to normalize the qRT-PCR data. <span class="html-italic">p</span>-values were calculated using multiple Student <span class="html-italic">t</span>-tests, comparing the levels in L1262CK (black-seeded material) and L1263CK (yellow-seeded material). * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; ****<span class="html-italic">p</span> &lt; 0.0001; ns, no difference. Error bars denote the standard deviation (SD) from three independent biological replicates. D, days after shading; TR, shading treatment.</p>
Full article ">Figure 6
<p>Validation of protein–protein interactions between BnaBBX22e and BnaA10.HY5. (<b>A</b>) Changes in metabolite contents before and after shading. Black blocks indicate that data were not available. The color scale represents the fold change in metabolite contents before and after shading, with red, blue, and yellow blocks indicating fold change ≥ 2, fold change ≤ 0.5, and fold change &gt; 0.5 and &lt;2, respectively. (<b>B</b>) The relationships among BnaBBX proteins and metabolites (|R value| ≥ 0.8, <span class="html-italic">p</span>-value ≤ 0.05). (<b>C</b>) Protein–protein interaction networks among BnaBBX proteins and BnaA10.HY5 proteins. The two red arrows point to BnaBBX22e and BnaBBX22f. (<b>D</b>) Yeast point-to-point validation between BnaBBX22e and BnaA10.HY5 as well as between BnaBBX22e and BnaA10.HY5. pGBKT7-53 and pGADT7-T, positive control; pGBKT7-lam and pGADT7-T, negative control; empty pGBKT7 and prey vector, testing for autoactivation and toxicity; bait vector and empty pGADT7, testing for autoactivation and toxicity.</p>
Full article ">
16 pages, 2251 KiB  
Article
Sources of the Trace Metals Contaminating Soils in Recreational Forest and Glade Areas in Krakow, a Large City in Southern Poland
by Katarzyna Solek-Podwika and Krystyna Ciarkowska
Sustainability 2024, 16(16), 6874; https://doi.org/10.3390/su16166874 (registering DOI) - 10 Aug 2024
Viewed by 205
Abstract
Soil pollution mainly results from particulate matter falling from the atmosphere; for example, PM10 and PM2.5 originate from anthropogenic sources. Krakow is both an industrial and touristic city. The aim of this research was to establish the sources and find the main drivers [...] Read more.
Soil pollution mainly results from particulate matter falling from the atmosphere; for example, PM10 and PM2.5 originate from anthropogenic sources. Krakow is both an industrial and touristic city. The aim of this research was to establish the sources and find the main drivers of trace metal (TM) soil contamination in the recreational city park in Krakow. This study was performed on forest soils and glades located near built-up areas and 100 m above built-up areas. The contents of lead, cadmium, zinc, chromium, organic carbon, total nitrogen, available nutrients, dehydrogenases, urease, and invertase activities in the soils were determined. Geo-accumulation, pollution load, Nemerov pollution indices, and potential ecological risk were calculated. Our results indicated low emissions (house heating and traffic) as the main sources of pollution. TM pollution was higher in the soils of built-up areas than in soils located 100 m above built-up areas, and forest soils were more polluted with TMs than glade soils. Activities undertaken as part of the sustainable development of the city should aim to reduce low emissions. Full article
Show Figures

Figure 1

Figure 1
<p>Location of the research area (Krakow, Malopolska region) and research sites from which soil samples were taken.</p>
Full article ">Figure 2
<p>(<b>A</b>–<b>C</b>) Classed post maps showing distribution of mean pH values in KCl (<b>A</b>), SOM contents (<b>B</b>), and DHA activity (<b>C</b>) in the surface layers of soils collected from the Wolski Forest (built-up and green areas).</p>
Full article ">Figure 3
<p>SQe calculated as the geometrical mean of DHA, URE, and INW (<b>A</b>). Pollution indices: PiNemerov (<b>B</b>), ecological RI (<b>C</b>) for soils grouped according to location and plant cover. FW—forest soils from green areas, FT—forest soils from built-up areas, GW—glade soils from green areas, GT—glade soils from built-up areas in the 0–10- and 10–30 cm layers. Different letters (a–d) show statistically significant differences between mean values of the parameters among soils of different plant cover (α ≤ 0.05).</p>
Full article ">Figure 3 Cont.
<p>SQe calculated as the geometrical mean of DHA, URE, and INW (<b>A</b>). Pollution indices: PiNemerov (<b>B</b>), ecological RI (<b>C</b>) for soils grouped according to location and plant cover. FW—forest soils from green areas, FT—forest soils from built-up areas, GW—glade soils from green areas, GT—glade soils from built-up areas in the 0–10- and 10–30 cm layers. Different letters (a–d) show statistically significant differences between mean values of the parameters among soils of different plant cover (α ≤ 0.05).</p>
Full article ">Figure 4
<p>(<b>A</b>–<b>D</b>) Classed post maps showing distribution of contents of Pb, Zn, Cd, and Cr in surface layers of soils collected in the Wolski Forest (built-up and green areas).</p>
Full article ">Figure 5
<p>PCA results showing the relationship between the studied variables (pH, Hh, SOM, N, K, P, Mg, DHA, URE, INW, Cd, Pb, Cr, and Zn) and the location and plant cover of the soils in the surface layer. FW—forest soils from green areas, FT—forest soils from built-up areas, GW—glade soils from green areas, GT—glade soils from built-up areas in the 0–10 cm layer.</p>
Full article ">
9 pages, 2156 KiB  
Article
Density Functional Theory-Based Indicators to Estimate the Corrosion Potentials of Zinc Alloys in Chlorine-, Oxidizing-, and Sulfur-Harsh Environments
by Azamat Mukhametov, Insaf Samikov, Elena A. Korznikova and Andrey A. Kistanov
Molecules 2024, 29(16), 3790; https://doi.org/10.3390/molecules29163790 (registering DOI) - 10 Aug 2024
Viewed by 201
Abstract
Nowadays, biodegradable metals and alloys, as well as their corrosion behavior, are of particular interest. The corrosion process of metals and alloys under various harsh conditions can be studied via the investigation of corrosion atom adsorption on metal surfaces. This can be performed [...] Read more.
Nowadays, biodegradable metals and alloys, as well as their corrosion behavior, are of particular interest. The corrosion process of metals and alloys under various harsh conditions can be studied via the investigation of corrosion atom adsorption on metal surfaces. This can be performed using density functional theory-based simulations. Importantly, comprehensive analytical data obtained in simulations including parameters such as adsorption energy, the amount of charge transferred, atomic coordinates, etc., can be utilized in machine learning models to predict corrosion behavior, adsorption ability, catalytic activity, etc., of metals and alloys. In this work, data on the corrosion indicators of Zn surfaces in Cl-, S-, and O-rich harsh environments are collected. A dataset containing adsorption height, adsorption energy, partial density of states, work function values, and electronic charges of individual atoms is presented. In addition, based on these corrosion descriptors, it is found that a Cl-rich environment is less harmful for different Zn surfaces compared to an O-rich environment, and more harmful compared to a S-rich environment. Full article
(This article belongs to the Special Issue Two-Dimensional Materials: From Synthesis to Applications)
Show Figures

Figure 1

Figure 1
<p>High-symmetry adsorption sites. FCC (F), hcp (H), bridge (B), and top (T) on the (<b>a</b>) Zn(111), (<b>b</b>) Zn(110), and (<b>c</b>) Zn(100) surfaces. Zn atoms and high-symmetry adsorption sites are indicated by gray balls and green balls, respectively.</p>
Full article ">Figure 2
<p>The side (the upper panel) and top (the lower panel) views of the lowest-energy configuration of the Cl atom adsorbed on the (<b>a</b>) Zn(111), (<b>b</b>) Zn(110), and (<b>c</b>) Zn(100) surfaces. Zn and Cl atoms are indicated by gray and green balls, respectively.</p>
Full article ">Figure 3
<p>The DCD isosurface plots (0.005 Å<sup>−3</sup>) of the Cl atom adsorbed on (<b>a</b>) Zn(111), (<b>b</b>) Zn(110), and (<b>c</b>) Zn(100) surfaces. The yellow (blue) color represents an accumulation (depletion) of electrons.</p>
Full article ">Figure 4
<p>PDOS diagrams of a Cl atom adsorbed on (<b>a</b>) Zn(111), (<b>b</b>) Zn(110), and (<b>c</b>) Zn(100) surfaces.</p>
Full article ">Figure 5
<p>(<b>a</b>) The distance <span class="html-italic">d</span> between the atom and the surface, (<b>b</b>) adsorption energy <span class="html-italic">E</span><sub>a</sub>, (<b>c</b>) Bader charge per adsorbed atom, and (<b>d</b>) WF value for the lowest-energy configurations of Cl, O, and S atoms on the Zn(111), Zn(110), and Zn(100) surfaces.</p>
Full article ">
13 pages, 2670 KiB  
Review
Advances in Regenerative and Reconstructive Medicine in the Prevention and Treatment of Bone Infections
by Leticia Ramos Dantas, Gabriel Burato Ortis, Paula Hansen Suss and Felipe Francisco Tuon
Biology 2024, 13(8), 605; https://doi.org/10.3390/biology13080605 (registering DOI) - 10 Aug 2024
Viewed by 158
Abstract
Reconstructive and regenerative medicine are critical disciplines dedicated to restoring tissues and organs affected by injury, disease, or congenital anomalies. These fields rely on biomaterials like synthetic polymers, metals, ceramics, and biological tissues to create substitutes that integrate seamlessly with the body. Personalized [...] Read more.
Reconstructive and regenerative medicine are critical disciplines dedicated to restoring tissues and organs affected by injury, disease, or congenital anomalies. These fields rely on biomaterials like synthetic polymers, metals, ceramics, and biological tissues to create substitutes that integrate seamlessly with the body. Personalized implants and prosthetics, designed using advanced imaging and computer-assisted techniques, ensure optimal functionality and fit. Regenerative medicine focuses on stimulating natural healing mechanisms through cellular therapies and biomaterial scaffolds, enhancing tissue regeneration. In bone repair, addressing defects requires advanced solutions such as bone grafts, essential in medical and dental practices worldwide. Bovine bone scaffolds offer advantages over autogenous grafts, reducing surgical risks and costs. Incorporating antimicrobial properties into bone substitutes, particularly with metals like zinc, copper, and silver, shows promise in preventing infections associated with graft procedures. Silver nanoparticles exhibit robust antimicrobial efficacy, while zinc nanoparticles aid in infection prevention and support bone healing; 3D printing technology facilitates the production of customized implants and scaffolds, revolutionizing treatment approaches across medical disciplines. In this review, we discuss the primary biomaterials and their association with antimicrobial agents. Full article
Show Figures

Figure 1

Figure 1
<p>A diagram demonstrating multiple options for doping bone grafts or polymers for 3D printing using metal nanoparticles or antibiotics in bone reconstruction.</p>
Full article ">Figure 2
<p>Silver nanoparticles on bone surface used for orthopedic graft.</p>
Full article ">Figure 3
<p>Antibiotic-impregnated PLA models with <span class="html-italic">Staphylococcus aureus</span> test.</p>
Full article ">Figure 4
<p>Implants with PLA impregnated with antibiotics tested during surgery for hip replacement.</p>
Full article ">
24 pages, 1580 KiB  
Article
Seeding as a Decisive Tool for Increasing Space-Time-Yields in the Preparation of High-Quality Cu/ZnO/ZrO2 Catalysts
by David Guse, Lucas Warmuth, Moritz Herfet, Katharina Adolf, Thomas A. Zevaco, Stephan Pitter and Matthias Kind
Catalysts 2024, 14(8), 517; https://doi.org/10.3390/catal14080517 (registering DOI) - 9 Aug 2024
Viewed by 222
Abstract
Aging is one of the key steps in the preparation of highly active Cu/ZnO-based catalysts for use in the production of methanol. If certain pH and temperature specifications are met, an initially amorphous precipitate transforms into the crystalline precursor phase of zincian malachite, [...] Read more.
Aging is one of the key steps in the preparation of highly active Cu/ZnO-based catalysts for use in the production of methanol. If certain pH and temperature specifications are met, an initially amorphous precipitate transforms into the crystalline precursor phase of zincian malachite, which is characterized by a periodic arrangement of Cu and Zn atoms and has proven advantageous for the quality of the final catalyst. However, aging generally takes between 30 min and multiple hours until the desired phase transformation is completed. With our study, we show that aging can be significantly accelerated by seeding the freshly precipitated suspension with already aged zincian malachite crystals: the necessary aging time was reduced by 41% for seeding mass fractions as low as 3 wt.% and from 83 min to less than 2 min for 30 wt.% seeds. No negative influence of seeding on the phase composition, specific surface area, molar metal ratios, or the morphology of the aged precursor could be identified. Consequently, the catalyst performance in the synthesis of methanol from CO2, as well as from a CO/CO2 mixture, was identical to a catalyst from an unseeded preparation and showed small advantages compared to a commercial sample. Thus, we conclude that seeding is a vital tool to accelerate the preparation of all Cu/Zn-based catalysts while maintaining product quality, presumably also on an industrial scale. Full article
(This article belongs to the Special Issue Catalysis for CO2 Conversion, 2nd Edition)
17 pages, 4274 KiB  
Article
ZnO–Graphene Oxide Nanocomposite for Paclitaxel Delivery and Enhanced Toxicity in Breast Cancer Cells
by Lorenzo Francesco Madeo, Christine Schirmer, Giuseppe Cirillo, Ayah Nader Asha, Rasha Ghunaim, Samuel Froeschke, Daniel Wolf, Manuela Curcio, Paola Tucci, Francesca Iemma, Bernd Büchner, Silke Hampel and Michael Mertig
Molecules 2024, 29(16), 3770; https://doi.org/10.3390/molecules29163770 - 9 Aug 2024
Viewed by 315
Abstract
A ZnO-Graphene oxide nanocomposite (Z-G) was prepared in order to exploit the biomedical features of each component in a single anticancer material. This was achieved by means of an environmentally friendly synthesis, taking place at a low temperature and without the involvement of [...] Read more.
A ZnO-Graphene oxide nanocomposite (Z-G) was prepared in order to exploit the biomedical features of each component in a single anticancer material. This was achieved by means of an environmentally friendly synthesis, taking place at a low temperature and without the involvement of toxic reagents. The product was physicochemically characterized. The ZnO-to-GO ratio was determined through thermogravimetric analysis, while scanning electron microscopy and transmission electron microscopy were used to provide insight into the morphology of the nanocomposite. Using energy-dispersive X-ray spectroscopy, it was possible to confirm that the graphene flakes were homogeneously coated with ZnO. The crystallite size of the ZnO nanoparticles in the new composite was determined using X-ray powder diffraction. The capacity of Z-G to enhance the toxicity of the anticancer drug Paclitaxel towards breast cancer cells was assessed via a cell viability study, showing the remarkable anticancer activity of the obtained system. Such results support the potential use of Z-G as an anticancer agent in combination with a common chemotherapeutic like Paclitaxel, leading to new chemotherapeutic formulations. Full article
(This article belongs to the Special Issue Carbon Materials in Materials Chemistry—2nd Edition)
Show Figures

Figure 1

Figure 1
<p>TGA of GO, ZnO NPs, Z-G, and Z-G*.</p>
Full article ">Figure 2
<p>FTIR spectra of GO, ZnO NPs, Z-G and Z-G*.</p>
Full article ">Figure 3
<p>pXRD pattern of ZnO NPs, Z-G, and Z-G*.</p>
Full article ">Figure 4
<p>SEM (<b>a</b>,<b>b</b>) and TEM (<b>c</b>–<b>e</b>) images of Z-G* (<b>a</b>) and Z-G (<b>b</b>–<b>e</b>). (<b>c</b>) Bright-field TEM (BFTEM) image of ZnO NPs clusters on GO sheets. The wrinkling of the latter is visible as dark lines. (<b>d</b>) BFTEM images at higher magnification showing morphology, size, and arrangement of the ZnO NPs within the cluster. (<b>e</b>) High-resolution TEM (HRTEM) images of ZnO NPs at the edge of the cluster showing lattice planes at a few NPs. (<b>f</b>) Fourier transform of (<b>e</b>) revealing reflections of both ZnO and GO.</p>
Full article ">Figure 5
<p>EDX mapping of Z-G* (<b>a</b>–<b>d</b>) and Z-G (<b>e</b>–<b>h</b>). The original SEM images are shown in (<b>a</b>,<b>e</b>). The detected elements were O (<b>b</b>,<b>f</b>), C (<b>c</b>,<b>g</b>), and Zn (<b>d</b>,<b>h</b>). Scale bar = 1 μm.</p>
Full article ">Figure 6
<p>Ptx release profiles for Z-G, GO, and ZnO NP samples.</p>
Full article ">Figure 7
<p>Cancer cells’ viability after 48 h of incubation with unloaded NPs (GO, Z-G), Ptx, and loaded NPs (ZnO/Ptx, GO/Ptx, and Z-G/Ptx) compared to the control (DMSO treatment). ***/**/* decreased viability vs. control (DMSO); ###/##/# decreased viability vs unloaded NPs; +++/++ decreased viability vs Ptx; */# <span class="html-italic">p</span> &lt; 0.05; **/##/++ <span class="html-italic">p</span> &lt; 0.01; ***/###/+++ <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">Figure 8
<p>Light microscopy images of cancer cells treated with Ptx (50 μg/mL) and Z-G/Ptx (25 μg/mL) for 48 h. Scale bar = 100 µm.</p>
Full article ">
8 pages, 487 KiB  
Article
Subjective Symptoms and Disease Activity Related to Serum Zinc Concentration in Primary Sjögren’s Syndrome
by Kumiko Akiya, Masahiro Nishihara, Yosuke Nagasawa, Noboru Kitamura, Hisataka Kitano, Jun Shoji, Yu Iwabuchi, Hiroyuki Hao and Hideki Nakamura
J. Clin. Med. 2024, 13(16), 4672; https://doi.org/10.3390/jcm13164672 - 9 Aug 2024
Viewed by 193
Abstract
Background/Objectives: We examined the frequency of zinc deficiency in patients with Sjögren’s syndrome (SS) and the relationship between zinc deficiency and each of the subjective symptoms and disease activity. Methods: We enrolled 164 patients aged ≥ 20 years with primary SS [...] Read more.
Background/Objectives: We examined the frequency of zinc deficiency in patients with Sjögren’s syndrome (SS) and the relationship between zinc deficiency and each of the subjective symptoms and disease activity. Methods: We enrolled 164 patients aged ≥ 20 years with primary SS (pSS) based on the revised diagnostic criteria of the Ministry of Health, Labor and Welfare (1999) and 144 patients with RA diagnosed according to the ACR/EULAR classification criteria for RA (2010) as a comparison group. Subjective symptoms were confirmed using an original questionnaire, and disease activity was determined using the European League Against Rheumatism Sjögren’s Syndrome Disease Activity Index (ESSDAI). The serum zinc concentrations were measured in both SS and RA patients. Results: The rate of zinc deficiency in the SS group was 26.1%, significantly higher than that in the RA group (7.6%). The rate of zinc deficiency was significantly higher in the pSS group compared with Japanese health checkup recipients reported in the literature. The mean serum zinc concentration in primary SS was 60.6 ± 7.3 µmol/L in the high disease activity group with an ESSDAI of ≥5 points, which was significantly lower than the concentration of 69.7 ± 10.2 µmol/L in patients with an ESSDAI of ≤4 points. Conclusions: The frequency of zinc deficiency was higher in patients with pSS than in patients with RA. Disease activity was also higher in patients with zinc deficiency, suggesting an association between zinc concentration and organ involvement in pSS. Full article
(This article belongs to the Section Immunology)
Show Figures

Figure 1

Figure 1
<p>Comparison of subjective symptoms due to zinc deficiency in primary SS patients. Primary SS patients were divided into three groups: patients with zinc deficiency (Zn &lt; 60 µg/dL), latent zinc deficiency (60 ≤ Zn &lt; 80 µg/dL), or normal zinc levels (Z ≥ 80 µg/dL). Their subjective symptom scores (0–10) were then determined using a questionnaire. Significant at <span class="html-italic">p</span> &lt; 0.05 according to Mann–Whitney <span class="html-italic">U</span>-test. a: <span class="html-italic">p</span> = 0.041, b: <span class="html-italic">p</span> = 0.007, c: <span class="html-italic">p</span> = 0.005, d: <span class="html-italic">p</span> = 0.030, e: <span class="html-italic">p</span> = 0.040, f: <span class="html-italic">p</span> = 0.007, g: <span class="html-italic">p</span> = 0.028, h: <span class="html-italic">p</span> = 0.039.</p>
Full article ">
16 pages, 5259 KiB  
Article
Waste or Raw Material? Perlite Concrete as Part of a Sustainable Materials Management Process in the Construction Sector
by Justyna Dzięcioł and Olga Szlachetka
Sustainability 2024, 16(16), 6818; https://doi.org/10.3390/su16166818 - 9 Aug 2024
Viewed by 345
Abstract
Recent advancements in sustainable building practices include the integration of waste materials from various industries into construction materials. This approach is currently being evaluated, allowing us to view recycled material not as waste but as a valuable resource and raw material. Such an [...] Read more.
Recent advancements in sustainable building practices include the integration of waste materials from various industries into construction materials. This approach is currently being evaluated, allowing us to view recycled material not as waste but as a valuable resource and raw material. Such an approach involves viewing this material as a separate resource with its own distinctive properties. This article investigates the use and environmental safety of perlite-based concrete. The research focuses on the properties of immobilizing potentially toxic elements (PTEs) in soil and plants, and it examines the impact of adding activated carbon to different types of perlite concrete on these properties. Initial tests varied the content of perlite concrete (3%, 5%, and 10%) to better understand the immobilization process in soil, roots, and aboveground plant parts. The results after adding 10% activated carbon provide insights into the nature and direction of the immobilization process and in determining the optimal amount of perlite concrete to enhance this process. The soil analysis revealed that the application of PPC at a rate of 10% led to a notable elevation in soil zinc content, reaching 96.6 mg/kg—a considerable 304% increase. Similarly, the amendment of PBFC at a rate of 10% resulted in a significant enhancement in copper content, reaching 21.7 mg/kg—an 112% increase. This study also evaluates the environmental safety of using perlite concrete and activated carbon in construction projects, such as earthworks and road subbases, where the materials interact with the water–soil environment. The novelty of this research lies in its examination of the remediation potential and environmental safety of modified perlite aggregate, offering a fresh perspective on the impacts of these modifications on previously studied materials. By applying varying concentrations of the amendments, the research provides a deeper understanding of their effects, yielding significant findings that support the advancement of sustainable construction practices. Full article
Show Figures

Figure 1

Figure 1
<p>Overview photos of the two types of base perlite concrete materials used in the study: (PPC) with the addition of CEM I 52.5R cement and (PBFC) with the addition of CEM III 42.5R cement.</p>
Full article ">Figure 2
<p>Maps of the distributions of elements in the samples using the EDS technique and detailed chemical compositions of the main components of the perlite concrete blocks.</p>
Full article ">Figure 3
<p>Overview photo of the activated carbon used in the study and SEM image of its structure at approximately 200 μm.</p>
Full article ">Figure 4
<p>Elemental distribution map for activated carbon, made using the EDS technique, and detailed chemical composition.</p>
Full article ">Figure 5
<p>Amount of resulting biomass of <span class="html-italic">Festuca rubra</span> L. grown on soil mixed with different concentrations of perlite concrete rubble (PPC and PBFC) and activated carbon. Significance test results are denoted by letters (one-way ANOVA and subsequently Tukey’s test).</p>
Full article ">Figure 6
<p>Zinc and copper contents in aboveground parts of <span class="html-italic">Festuca rubra</span> L. grown in soil mixed with different concentrations of perlite concrete rubble (PPC and PBFC). Significance test results are denoted by letters (one-way ANOVA and subsequently Tukey’s test).</p>
Full article ">Figure 7
<p>Zinc and copper contents of the roots of <span class="html-italic">Festuca rubra</span> L. grown in soil mixed with different concentrations of perlite concrete rubble (PPC and PBFC). Significance test results are denoted by letters (one-way ANOVA and subsequently Tukey’s test).</p>
Full article ">Figure 8
<p>Zinc and copper contents of <span class="html-italic">Festuca rubra</span> L. soil mixed with different concentrations of perlite concrete rubble (PPC and PBFC). Significance test results are denoted by letters (one-way ANOVA and subsequently Tukey’s test).</p>
Full article ">Figure 9
<p>Zinc and copper contents in aboveground parts of <span class="html-italic">Festuca rubra</span> L. grown in soil mixed with perlite concrete rubble (PPC and PBFC) and activated carbon (AC). Significance test results are denoted by letters (one-way ANOVA and subsequently Tukey’s test).</p>
Full article ">Figure 10
<p>Zinc and copper contents in roots of <span class="html-italic">Festuca rubra</span> L. grown in soil mixed with perlite concrete rubble (PPC and PBFC) and activated carbon (AC). Significance test results are denoted by letters (one-way ANOVA and subsequently Tukey’s test).</p>
Full article ">Figure 11
<p>Zinc and copper contents in <span class="html-italic">Festuca rubra</span> L. soil mixed with different concentrations of perlite concrete rubble (PPC and PBFC) and activated carbon (AC). Significance test results are denoted by letters (one-way ANOVA and subsequently Tukey’s test).</p>
Full article ">
27 pages, 9947 KiB  
Article
Use of 2D Sulfide and Oxide Compounds as Functional Semiconducting Pigments in Protective Organic Coatings Containing Zinc Dust
by Miroslav Kohl, Karolína Boštíková, Stanislav Slang, Eva Schmidová and Andréa Kalendová
Coatings 2024, 14(8), 1009; https://doi.org/10.3390/coatings14081009 - 8 Aug 2024
Viewed by 304
Abstract
Within this study, the influence of particles of different types, natures, and sizes on the mechanical and corrosion resistance of pigmented systems containing spherical zinc was studied. For this study, prominent representatives from the group of transition metal dichalcogenides (MoS2, WS [...] Read more.
Within this study, the influence of particles of different types, natures, and sizes on the mechanical and corrosion resistance of pigmented systems containing spherical zinc was studied. For this study, prominent representatives from the group of transition metal dichalcogenides (MoS2, WS2), layered transition metal oxides (MoO3, WO3), and other semiconductor materials (ZnS and ZnO) were used. The layered ultra-thin structure of these particles was predisposed to provide enhanced mechanical and anti-corrosion performance. The mechanical properties of the studied coatings were tested using standardized mechanical tests, while the anti-corrosion performance of these coatings was studied using standardized cyclic corrosion tests and the linear polarization electrochemical technique. The results of the experimental techniques bring completely original knowledge about the action of these pigments in paint systems pigmented with zinc. The results of experimental techniques have shown enhancement and an increase in both mechanical and anti-corrosion performance when using these special types of inorganic pigments. In particular, with organic coatings pigmented with MoO3, there was an increase in mechanical resistance mainly due to its morphology and layered structure. In addition, a significant enhancement of the anti-corrosion efficiency was noted for this type of organic coating due to the enhancement of individual types of action mechanisms typical and proven for zinc-pigmented systems. These original findings can be used in the search for possibilities to reduce the zinc content in zinc-pigmented organic coatings. This partial replacement of zinc particles leads not only to a reduction in the zinc content in the system but also to a significant strengthening of the mechanical resistance and an increase in the corrosion efficiency of the system. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>The FTIR spectrum of binder, which was used for the preparation of organic coating containing inorganic pigments.</p>
Full article ">Figure 2
<p>Scanning electron micrographs of the studied inorganic pigments: (<b>a1</b>) WS<sub>2</sub>, 500 µm; (<b>a2</b>) WS<sub>2</sub>, 5 µm; (<b>b1</b>) WO<sub>3</sub><span class="html-italic">,</span> 500 µm; (<b>b2</b>) WO<sub>3</sub><span class="html-italic">,</span> 5 µm; (<b>c1</b>) ZnS, 500 µm; (<b>c2</b>) ZnS, 5 µm; (<b>d1</b>) ZnO, 500 µm; (<b>d2</b>) ZnO, 5 µm; (<b>e1</b>) MoS<sub>2</sub>, 500 µm; (<b>e2</b>) MoS<sub>2</sub>, 5 µm; (<b>f1</b>) MoO<sub>3</sub> 500 µm; (<b>f2</b>) MoO<sub>3</sub> 5 µm; (<b>g1</b>) ZnS/BaSO<sub>4</sub>, 500 µm; (<b>g2</b>) ZnS/BaSO<sub>4</sub> 5 µm; (<b>h1</b>) Zn 500 µm; (<b>h2</b>) Zn 5 µm.</p>
Full article ">Figure 3
<p>Micrographs of transverse fractures of selected organic coatings: (<b>a1</b>) SEM, (<b>a2</b>) Zn-BSE, and (<b>a3</b>) O-BSE of zinc-pigmented organic coating; (<b>b1</b>) SEM, (<b>b2</b>) Zn-BSE, (<b>b3</b>) Mo-BSE and (<b>b4</b>) O-BSE of zinc-pigmented organic coating pigmented with MoO<sub>3</sub> at PVC = 10% together with elemental mapping below.</p>
Full article ">Figure 4
<p>Microphotograph of the surface of a zinc-pigmented coating: (<b>a1</b>) SEM, (<b>a2</b>) Zn-BSE, (<b>a3</b>) Mo-BSE and (<b>a4</b>) O-BSE of film containing MoO<sub>3</sub> pigment at PVC = 10% at the cohesive fracture point after the pull-off test; (<b>b1</b>) SEM, (<b>b2</b>) Zn-BSE, (<b>b3</b>) Mo-BSE and (<b>b4</b>) O-BSE of detail film containing MoO<sub>3</sub> together with elemental mapping below.</p>
Full article ">Figure 5
<p>SEM-BSE scans of a zinc-pigmented coating film containing MoO<sub>3</sub> pigment at PVC = 10% at the cohesive fracture point after the pull-off test—topography scan (<b>left</b>) and BSE scans with elemental contrast (<b>right</b>).</p>
Full article ">Figure 6
<p>Organic coating after 960 h of exposure in an atmosphere containing salt electrolyte: (<b>a</b>) with MoS<sub>2</sub> at PVC = 10%; (<b>b</b>) with MoO<sub>3</sub> at PVC = 10%; (<b>c</b>) with ZnO at PVC = 10%; (<b>d</b>) with Zn at PVC/CPVC = 0.6 and steel panel after removing the organic coating; (<b>e</b>) with MoS<sub>2</sub> at PVC = 10%; (<b>f</b>) with MoO<sub>3</sub> at PVC = 10%; (<b>g</b>) with ZnO at PVC = 10%; and (<b>h</b>) with Zn at PVC/CPVC = 0.6.</p>
Full article ">Figure 7
<p>Photographs of test sections of individual organic coatings after 480 h of exposure in an atmosphere containing a salt electrolyte: (<b>a</b>) organic coatings with MoO<sub>3</sub> (at PVC = 10%); (<b>b</b>) organic coatings with MoS<sub>2</sub> (at PVC = 10%); (<b>c</b>) organic coatings with WO<sub>3</sub> (at PVC = 10%); (<b>d</b>) organic coatings with WS<sub>2</sub> (at PVC = 10%); (<b>e</b>) organic coatings with ZnO (at PVC = 10%); (<b>f</b>) organic coatings with ZnS (at PVC = 10%); (<b>g</b>) organic coatings with ZnS/BaSO<sub>4</sub> (at PVC = 10%); (<b>h</b>) zinc-pigmented organic coating (PVC/CPVC = 0.6).</p>
Full article ">Figure 8
<p>Results of scanning electron micrographs and energy-dispersive X-ray analysis of the organic coating in areas far from the test cut: (<b>a</b>) organic coatings with WO<sub>3</sub> (at PVC = 10%); (<b>b</b>) organic coatings with MoO<sub>3</sub> (at PVC = 10%); (<b>c</b>) zinc-pigmented organic coating (PVC/CPVC = 0.6).</p>
Full article ">Figure 9
<p>Results of scanning electron micrographs of the organic coating containing WO<sub>3</sub> at PVC = 10% in areas far from the test cut.</p>
Full article ">Figure 10
<p>Results of scanning electron micrographs and energy-dispersive X-ray analysis of the organic coating in the test cut: (<b>a</b>) organic coatings with WO<sub>3</sub> (at PVC = 10%); (<b>b</b>) organic coatings with MoO<sub>3</sub> (at PVC = 10%); (<b>c</b>) zinc-pigmented organic coating (PVC/CPVC = 0.6).</p>
Full article ">Figure 11
<p>Results of powder X-ray diffraction analysis of corrosion products taken from test sections of selected organic coatings: (<b>a</b>) zinc-pigmented organic coating (PVC/CPVC = 0.6); (<b>b</b>) organic coatings with MoO<sub>3</sub> (at PVC = 10%).</p>
Full article ">Figure 12
<p>Organic coating after 960 h of exposure in an atmosphere containing SO<sub>2</sub>: (<b>a</b>) with MoS<sub>2</sub> at PVC = 10%; (<b>b</b>) with MoO<sub>3</sub> at PVC = 10%; (<b>c</b>) with ZnO at PVC = 10%; (<b>d</b>) with Zn at PVC/CPVC = 0.6 and steel panel after removing the organic coating; (<b>e</b>) with MoS<sub>2</sub> at PVC = 10%; (<b>f</b>) with MoO<sub>3</sub> at PVC = 10%; (<b>g</b>) with ZnO at PVC = 10%; and (<b>h</b>) with Zn at PVC/CPVC = 0.6.</p>
Full article ">Figure 13
<p>Tafel plots of studied organic coatings containing coating with MoO<sub>3</sub> at PVC = 10% (green line), coating with MoO<sub>3</sub> at PVC = 5% (red line), and coating with MoO<sub>3</sub> at PVC = 3% (black line).</p>
Full article ">
19 pages, 2886 KiB  
Article
Chemical Composition of Anabasis articulata, and Biological Activity of Greenly Synthesized Zinc Oxide Composite Nanoparticles (Zn-NPs): Antioxidant, Anticancer, and Larvicidal Activities
by Abdullah Ali Alamri, Naimah Asid H. Alanazi, Abadi M. Mashlawi, Sohair A. M. Shommo, Mohammed A. Akeel, Amani Alhejely, Abdel Moneim E. Sulieman and Salama A. Salama
Agronomy 2024, 14(8), 1742; https://doi.org/10.3390/agronomy14081742 - 8 Aug 2024
Viewed by 288
Abstract
The synthesis of nanoparticles utilizing green techniques is becoming increasingly important due to its low cost, biocompatibility, high productivity, and eco-friendliness. Herein, the current work focused on the biosynthesis, characterization, and biological applications of zinc oxide nanoparticles (ZnO-NPs) from Anabasis articulata, including [...] Read more.
The synthesis of nanoparticles utilizing green techniques is becoming increasingly important due to its low cost, biocompatibility, high productivity, and eco-friendliness. Herein, the current work focused on the biosynthesis, characterization, and biological applications of zinc oxide nanoparticles (ZnO-NPs) from Anabasis articulata, including antioxidant anticancer and larvicidal properties, as well as modifications to the phytochemical ingredients. Hence, the tannin, phenolic, and flavonoid concentrations of the produced nanoparticle samples were lower than those of the original aqueous extract. When compared to the results of ascorbic acid (12.78 mg/mL), the produced extract of A. articulata and its zinc nanoparticles showed remarkable efficacy as antioxidant agents with IC50 values of 27.48 and 69.53 mg/mL, respectively. A normal lung fibroblast cell line (WI-38) and three tumor cells were used to test the compounds’ anticancer properties. With an IC50 of 21.19 µg/mL, the ZnO-NPs of A. articulata showed the greatest cytotoxicity against HePG-2 cell lines. Additionally, A. articulata zinc nanoparticles showed significant cytotoxicity against MCF-7 and PC3 tumor cell lines, with IC50 values of 30.91 and 49.32 µg/mL. The biogenic ZnO-NPs had LC50 and LC90 values of 13.64 and 26.23 mg/L, respectively, and are very effective against Aedes aegypti larval instar (III). Additionally, the percentages of larval mortality increased from 28.61% at 5 ppm to 84.69% at 25 ppm after 24 h post-treatment. The overall results of this study point to the potential of A. articulata as a substitute biological agent for potential therapeutic/leutic uses in the medical domains and for preventing the proliferation of malarial vector insects. Full article
(This article belongs to the Section Plant-Crop Biology and Biochemistry)
Show Figures

Figure 1

Figure 1
<p><span class="html-italic">Anabasis articulata</span> (Forssk) Moq. plant: (<b>a</b>) overview of the growing shrub, (<b>b</b>) close view of vegetative branch.</p>
Full article ">Figure 2
<p>Chromatogram and structures of the main components of the MeOH extract of <span class="html-italic">A. articulata</span> shoots by GC-MS.</p>
Full article ">Figure 3
<p>The UV-visible spectroscopy graphs of the plant extract, ZnO and prepared ZnO-NPs, and TEM configurations of ZnNPs.</p>
Full article ">Figure 4
<p>Zeta potential analysis of ZnNPs.</p>
Full article ">Figure 5
<p>Comparison of the inhibition percentage of tumor and normal cells at different concentrations. Locations: (<b>a</b>) for doxorubicin, (<b>b</b>) for <span class="html-italic">A. articulata</span> extract, (<b>c</b>) for <span class="html-italic">A. articulata</span> + ZnNPs, and (<b>d</b>) for zinc sulfate solution. Different superscript letters within each treatment express significant variation at a probability level of 0.05 (Duncan’s test).</p>
Full article ">
17 pages, 6933 KiB  
Article
Evidence for a Giant Magneto-Electric Coupling in Bulk Composites with Coaxial Fibers of Nickel–Zinc Ferrite and PZT
by Bingfeng Ge, Jitao Zhang, Sujoy Saha, Sabita Acharya, Chaitrali Kshirsagar, Sidharth Menon, Menka Jain, Michael R. Page and Gopalan Srinivasan
J. Compos. Sci. 2024, 8(8), 309; https://doi.org/10.3390/jcs8080309 - 8 Aug 2024
Viewed by 304
Abstract
This report is on magneto-electric (ME) interactions in bulk composites with coaxial fibers of nickel–zinc ferrite and PZT. The core–shell fibers of PZT and Ni1−xZnxFe2O4 (NZFO) with x = 0–0.5 were made by electrospinning. Both kinds [...] Read more.
This report is on magneto-electric (ME) interactions in bulk composites with coaxial fibers of nickel–zinc ferrite and PZT. The core–shell fibers of PZT and Ni1−xZnxFe2O4 (NZFO) with x = 0–0.5 were made by electrospinning. Both kinds of fibers, either with ferrite or PZT core and with diameters in the range of 1–3 μm were made. Electron and scanning probe microscopy images indicated well-formed fibers with uniform core and shell structures and defect-free interface. X-ray diffraction data for the fibers annealed at 700–900 °C did not show any impurity phases. Magnetization, magnetostriction, ferromagnetic resonance, and polarization P versus electric field E measurements confirmed the ferroic nature of the fibers. For ME measurements, the fibers were pressed into disks and rectangular platelets and then annealed at 900–1000 °C for densification. The strengths of strain-mediated ME coupling were measured by the H-induced changes in remnant polarization Pr and by low-frequency ME voltage coefficient (MEVC). The fractional change in Pr under H increased in magnitude, from +3% for disks of NFO–PZT to −82% for NZFO (x = 0.3)-PZT, and a further increase in x resulted in a decrease to a value of −3% for x = 0.5. The low-frequency MEVC measured in disks of the core–shell fibers ranged from 6 mV/cm Oe to 37 mV/cm Oe. The fractional changes in Pr and the MEVC values were an order of magnitude higher than for bulk samples containing mixed fibers with a random distribution of NZFO and PZT. The bulk composites with coaxial fibers have the potential for use as magnetic field sensors and in energy-harvesting applications. Full article
(This article belongs to the Special Issue Discontinuous Fiber Composites, Volume III)
Show Figures

Figure 1

Figure 1
<p>X-ray diffraction patterns for the coaxial fibers of (<b>a</b>) NZFO (x = 0)-PZT and (<b>b</b>) NZFO (x = 0.3)-PZT. Small impurities are indicated by *. (<b>c</b>) SEM image showing a collection of the fibers of NFO-PZT. (<b>d</b>) SEM image showing the core and shell structure for an NFO-PZT fiber.</p>
Full article ">Figure 2
<p>(<b>a</b>) Atomic force microscopy image of an isolated coaxial fiber of NFO-PZT. (<b>b</b>) Magnetic force microscopy for a fiber of NFO shell–PZT core. (<b>c</b>) Scanning microwave microscopy (SMM) capacitance image at 10 GHz for NFO-PZT fiber.</p>
Full article ">Figure 3
<p>Magnetization vs. static magnetic field H data for the bulk samples with the fibers of (<b>a</b>) NFO-PZT, (<b>b</b>) NZFO (x = 0.2)-PZT, and (<b>c</b>) NZFO (x = 0.4)-PZT. The data are for the samples with ferrite core and PZT shell.</p>
Full article ">Figure 4
<p>(<b>a</b>) Scattering matrix parameter S<sub>11</sub> vs. frequency f for ferromagnetic resonance (FMR) for a series of in-plane static magnetic field H. The data are for a rectangular platelet of the coaxial fibers of NZFO (x = 0.2) and PZT. (<b>b</b>) The fitting of the resonance frequency f<sub>r</sub> vs. H to Kittel’s equation to determine the gyromagnetic ratio γ and the effective saturation induction 4πM<sub>eff</sub>.</p>
Full article ">Figure 5
<p>Profiles showing FMR (<b>a</b>) and the fitting of f<sub>r</sub> vs. H data to Kittel’s equation (<b>b</b>) as in <a href="#jcs-08-00309-f004" class="html-fig">Figure 4</a> for a platelet with the fibers of NZFO (x = 0.3)-PZT.</p>
Full article ">Figure 6
<p>Magnetostriction λ<sub>11</sub> measured parallel to the applied in-plane static magnetic field H. The data are for a rectangular platelet made of the coaxial fibers of NZFO (x = 0.5)-PZT (<b>a</b>,<b>b</b>) and NZFO (x = 0.4)-PZT (<b>c</b>,<b>d</b>). The arrows indicate increasing or decreasing H direction. The arrows represent the increasing and decreasing magnitude of H variation.</p>
Full article ">Figure 7
<p>λ<sub>11</sub> vs. H data as in <a href="#jcs-08-00309-f004" class="html-fig">Figure 4</a> for NZFO (x = 0.3)-PZT (<b>a</b>,<b>b</b>) and NZFO (x = 0.2)-PZT (<b>c</b>,<b>d</b>). The arrows represent the increasing and decreasing magnitude of H variation.</p>
Full article ">Figure 8
<p>Polarization P as a function of electric field E for a series of applied static magnetic field H for a disk with the fibers of NZFO (x = 0.5) core–PZT shell for (<b>a</b>) increasing H and (<b>b</b>) decreasing H. (<b>c</b>,<b>d</b>) show similar results for fibers with PZT cores and NZFO (x = 0.5) shells. The insets show P vs. E on an expanded scale. (<b>e</b>) The fractional change in the remnant polarization Pr as a function of H for increasing and decreasing H. PZT (<b>a</b>,<b>b</b>) and NZFO (x = 0.5)-PZT (<b>c</b>,<b>d</b>). The arrows indicate increasing or decreasing H direction.</p>
Full article ">Figure 9
<p>Polarization P as a function of electric field E for a series of applied static magnetic field H for a disk with the fibers of NZFO (x = 0.4) core–PZT shell for (<b>a</b>) increasing H and (<b>b</b>) decreasing H. (<b>c</b>,<b>d</b>) show similar results for fibers with PZT cores and NZFO (x = 0.4) shells. The insets show P vs. E on an expanded scale. (<b>e</b>) The fractional change in the remnant polarization Pr as a function of H for increasing and decreasing H. The arrows represent the increasing and decreasing magnitude of H variation. The inset shows data on expanded scale.</p>
Full article ">Figure 10
<p>Results on P vs. E for a series of (<b>a</b>,<b>c</b>) increasing H-values and (<b>b</b>,<b>d</b>) decreasing H-values for a platelet with the core–shell fibers of NZFO (x = 0.3)-PZT. (<b>e</b>) Fractional change in P<sub>r</sub> vs H for the core-shell fiber disks. The arrows represent the increasing and decreasing magnitude of H variation.</p>
Full article ">Figure 11
<p>Zn concentration x dependence of the maximum fractional variation in the remnant polarization in the bulk composites with NZFO-PZT core–shell fibers.</p>
Full article ">Figure 12
<p>ME voltage coefficient α<sub>31</sub> measured at 100 Hz as a function of the bias field H for the samples with the fibers of NZFO (x = 0.5)-PZT and NZFO (x = 0.4)-PZT. The insets show the H-dependence of α<sub>31</sub> on an expanded scale for H &lt; 1 kOe. (<b>a</b>,<b>c</b>) are for fibers with ferrite core and (<b>b</b>,<b>d</b>) are for fibers with PZT core. Arrows indicate data for increasing and decreasing magnitude of H.</p>
Full article ">Figure 13
<p>Data as in <a href="#jcs-08-00309-f012" class="html-fig">Figure 12</a> for samples of NZFO (x = 0.3)-PZT and NZFO (x = 0.2)-PZT. (<b>a</b>,<b>c</b>) are for fibers with ferrite core and (<b>b</b>,<b>d</b>) are for fibers with PZT core. Arrows indicate data for increasing and decreasing magnitude of H.</p>
Full article ">Figure 14
<p>Data as in <a href="#jcs-08-00309-f012" class="html-fig">Figure 12</a> for bulk composites with NFO-PZT fibers. Data in (<b>a</b>) are for fibers with ferrite core and data in (<b>b</b>) are for fibers with PZT core. Arrows indicate data for increasing and decreasing magnitude of H.</p>
Full article ">Figure 15
<p>Maximum fractional H-induced change in P<sub>r</sub> as a function of x in the fiber samples with randomly distributed NZFO-PZT.</p>
Full article ">
17 pages, 1667 KiB  
Article
Genomic Analysis of Cronobacter condimenti s37: Identification of Resistance and Virulence Genes and Comparison with Other Cronobacter and Closely Related Species
by Anna Berthold-Pluta, Ilona Stefańska, Stephen Forsythe, Tamara Aleksandrzak-Piekarczyk, Lidia Stasiak-Różańska and Monika Garbowska
Int. J. Mol. Sci. 2024, 25(16), 8622; https://doi.org/10.3390/ijms25168622 - 7 Aug 2024
Viewed by 323
Abstract
Cronobacter condimenti are environmental commensals that have not been associated with any clinical infections. To date, they are the least understood and described Cronobacter species within the genus. The objective of this study was to use a draft genome sequence (DGS) of the [...] Read more.
Cronobacter condimenti are environmental commensals that have not been associated with any clinical infections. To date, they are the least understood and described Cronobacter species within the genus. The objective of this study was to use a draft genome sequence (DGS) of the Cronobacter condimenti strain s37 to screen for genes encoding for antibiotic resistance, virulence, response to environmental stress, and biofilm formation. The strain was isolated in Poland from commercial small radish sprouts. This is the second genome of this species available in the GenBank database. The comparative genome analysis (cgMLST) of C. condimenti s37 with other Cronobacter spp. including the pathogenic species C. sakazakii and the plant-associated closely related genera Franconibacter and Siccibacter was also performed. The assembled and annotated genome of the C. condimenti s37 genome was 4,590,991 bp in length, with a total gene number of 4384, and a GC content of 55.7%. The s 37 genome encoded for genes associated with resistance to stressful environmental conditions (metal resistance genes: zinc, copper, osmotic regulation, and desiccation stress), 17 antimicrobial resistance genes encoding resistance to various classes of antibiotics and 50 genes encoding for the virulence factors. The latter were mainly genes associated with adhesion, chemotaxis, hemolysis, and biofilm formation. Cg-MLST analysis (3991 genes) revealed a greater similarity of C. condimenti s37 to S. turicensis, F. pulveris, and C. dublinensis than to other species of the genus Cronobacter. Studies on the diversity, pathogenicity, and virulence of Cronobacter species isolated from different sources are still insufficient and should certainly be continued. Especially the analysis of rare strains such as s37 is very important because it provides new information on the evolution of these bacteria. Comparative cgMLST analysis of s37 with other Cronobacter species, as well as closely related genera Franconibacter and Siccibacter, complements the knowledge on their adaptability to specific environments such as desiccation. Full article
(This article belongs to the Section Molecular Microbiology)
Show Figures

Figure 1

Figure 1
<p>Subsystem category distribution of <span class="html-italic">C. condimenti</span> s37. (<b>A</b>)—the percentage of subsystem coverage (green bar corresponds to the percentage of proteins involved). (<b>B</b>)—the fraction and count (parenthesis in legend) of each subsystem feature (functional traits identified by the RAST server).</p>
Full article ">Figure 2
<p>Distance matrix of <span class="html-italic">Cronobacter</span> species and closely related organisms (distances between taxa are calculated as the number of loci with different allele sequences).</p>
Full article ">Figure 3
<p>cgMLST analysis of <span class="html-italic">Cronobacter</span> species and closely related organisms (Splits Tree).</p>
Full article ">
16 pages, 1997 KiB  
Article
Zinc and Lead Leaching from Sphalerite–Galena Concentrate Using Deep Eutectic Solvents Based on Choline Chloride: Effect of Roasting and Iodine as Oxidizing Agent
by Katherine Moreno, Ximena Díaz, Diana Endara, Fernando Sánchez and Carlos F. Aragón-Tobar
Molecules 2024, 29(16), 3742; https://doi.org/10.3390/molecules29163742 - 7 Aug 2024
Viewed by 264
Abstract
The traditional metallurgical routes for producing lead and zinc from primary sources have a significant environmental footprint. Thus, using less pollutant solvents, such as deep eutectic solvents (DESs), would offer a greener solution in metal extraction. This study explores the use of three [...] Read more.
The traditional metallurgical routes for producing lead and zinc from primary sources have a significant environmental footprint. Thus, using less pollutant solvents, such as deep eutectic solvents (DESs), would offer a greener solution in metal extraction. This study explores the use of three DESs based on choline chloride (ChCl) (1:2 ChCl–urea, 1:2 ChCl–ethylene glycol, and 1:2 ChCl–glycerol) for recovering Zn and Pb from a sphalerite–galena concentrate of the mining region in Ecuador. Leaching tests of the concentrate (untreated and roasted at 600 °C) in each DES were conducted (30 °C—24 h). The effect of adding iodine as an oxidizing agent was also evaluated. Recoveries of 2% (Zn) and 14% (Pb) were reported when leaching the untreated concentrate with DES. These recovery values increased to 11% (Zn) and 99% (Pb) after adding iodine during the leaching of the untreated concentrate. Roasting had a similar effect on leaching, increasing the recovery values of Zn (75%) and Pb (90%). Combining roasting as a pretreatment and iodine as an oxidizing agent produced higher Zn recoveries (99%) and Pb (99%). These results were compared to recoveries in acid leaching (H2SO4 and HNO3), revealing the potential of DESs as an alternative for metal recovery from primary sources. Full article
(This article belongs to the Special Issue Deep Eutectic Solvents: Properties and Applications as Green Solvents)
Show Figures

Figure 1

Figure 1
<p>Zinc recovery by leaching sphalerite–galena concentrate using reline, ethaline, and glyceline.</p>
Full article ">Figure 2
<p>Lead recovery by leaching sphalerite–galena concentrate using reline, ethaline, and glyceline.</p>
Full article ">Figure 3
<p>Zinc recovery by leaching sphalerite–galena concentrate using reline, ethaline, glyceline, and iodine as an oxidizing agent within DES.</p>
Full article ">Figure 4
<p>Lead recovery by leaching sphalerite–galena concentrate using reline, ethaline, glyceline, and iodine as an oxidizing agent within DES.</p>
Full article ">Figure 5
<p>Iron, lead, and zinc content (%) in the sphalerite and galena concentrate, in the head sample, and all samples at the employed temperatures.</p>
Full article ">Figure 6
<p>Zinc recovery by leaching of the roasted concentrate using reline, ethaline, and glyceline.</p>
Full article ">Figure 7
<p>Lead recovery by leaching of the roasted concentrate using reline, ethaline, and glyceline.</p>
Full article ">Figure 8
<p>Zinc recovery by leaching the roasted concentrate using reline, ethaline, and glyceline, with iodine as an oxidizing agent.</p>
Full article ">Figure 9
<p>Lead recovery by leaching the roasted concentrate using reline, ethaline, and glyceline, with iodine as an oxidizing agent.</p>
Full article ">Figure 10
<p>Zinc and lead recoveries by leaching a sphalerite–galena concentrate using reline with and without adding oxidizing agent I<sub>2</sub>: (<b>a</b>) untreated concentrate; (<b>b</b>) roasted concentrate.</p>
Full article ">
9 pages, 2396 KiB  
Article
Effects of Clay Nanosheets on the Photostability of Cationic Porphyrin
by Yoshinori Tahara, Yugo Hirade, Kyosuke Arakawa, Tetsuya Shimada, Tamao Ishida, Hiroshi Tachibana and Shinsuke Takagi
Molecules 2024, 29(16), 3738; https://doi.org/10.3390/molecules29163738 - 7 Aug 2024
Viewed by 274
Abstract
The photodecomposition behavior of cationic porphyrin ZnTMAP4+ (zinc tetrakis-(N,N,N-trimethylanilinium-4-yl) porphyrin) in water and complexed with clay nanosheets was investigated by light irradiation to the Soret band of ZnTMAP4+. The decomposition of ZnTMAP4+ was [...] Read more.
The photodecomposition behavior of cationic porphyrin ZnTMAP4+ (zinc tetrakis-(N,N,N-trimethylanilinium-4-yl) porphyrin) in water and complexed with clay nanosheets was investigated by light irradiation to the Soret band of ZnTMAP4+. The decomposition of ZnTMAP4+ was observed by UV–visible absorption spectroscopy. While the decomposition quantum yield (ϕdec) was 3.4 × 10−4 in water, that was 9.4 × 10−7 on the exfoliated clay nanosheets. It was revealed that the photostability of ZnTMAP4+ was stabilized by the complex formation with clay. When ZnTMAP4+ was intercalated between the stacked clay nanosheets, ϕdec was further decreased to 4.9 × 10−7. The photostability increased by 361 times and 693 times for the exfoliated and stacked state, respectively. These results indicate that the flat clay surface has the potential to control intra- and intermolecular photochemical reactions. Full article
Show Figures

Figure 1

Figure 1
<p>The structure of ZnTMAP<sup>4+</sup>.</p>
Full article ">Figure 2
<p>Absorption spectra of ZnTMAP<sup>4+</sup> at each light irradiation time (<b>a</b>) in water and (<b>b</b>) on clay (0.5% vs. CEC). Light irradiation: 160 mW single-color LED lamp (in water 415 nm, on clay 430 nm). Concentration of dye is 2.66 × 10<sup>−7</sup> M and clay is 5.32 × 10<sup>−9</sup> eq L<sup>−1</sup>. The loading level of ZnTMAP<sup>4+</sup> is 0.5% vs. the CEC of the clay.</p>
Full article ">Figure 3
<p>Photodecomposition behavior of ZnTMAP<sup>4+</sup> in water and in exfoliated clay dispersion. Concentration of dye is 2.66 × 10<sup>−7</sup> M and clay is 5.32 × 10<sup>−9</sup> eq L<sup>−1</sup>. The loading level of ZnTMAP<sup>4+</sup> is 0.5% vs. the CEC of the clay.</p>
Full article ">Figure 4
<p>Effects of adsorption density on the photodecomposition behavior of ZnTMAP<sup>4+</sup>. Concentration of dye is 2.66 × 10<sup>−7</sup> M and clay is 2.13 × 10<sup>−9</sup> eq L<sup>−1</sup>, 5.32 × 10<sup>−9</sup> eq L<sup>−1</sup>, 5.32 × 10<sup>−8</sup> eq L<sup>−1</sup>, and 5.32 × 10<sup>−7</sup> eq L<sup>−1</sup>. The loading level of ZnTMAP<sup>4+</sup> is 0.2, 0.5, 5, and 50% vs. the CEC of the clay.</p>
Full article ">Figure 5
<p>(<b>a</b>) Absorption spectra of ZnTMAP<sup>4+</sup> complexed with stacked clay nanosheets at each light irradiation time and (<b>b</b>) comparison of photodecomposition behavior of ZnTMAP<sup>4+</sup> complexed with stacked clay nanosheets. Concentration of dye is 2.66 × 10<sup>−7</sup> M and clay is 5.32 × 10<sup>−9</sup> eq L<sup>−1</sup>. The loading level of ZnTMAP<sup>4+</sup> is 0.5% vs. the CEC of the clay.</p>
Full article ">Figure 6
<p>Effects of oxygen on the photodecomposition behavior of ZnTMAP<sup>4+</sup>.</p>
Full article ">Figure 7
<p>Image of the possible effect of the clay surface on the potential energy surface for the decomposition of porphyrin.</p>
Full article ">
Back to TopTop