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Search Results (4,205)

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20 pages, 5447 KiB  
Article
Plastic Polymers and Antibiotic Resistance in an Antarctic Environment (Ross Sea): Are We Revealing the Tip of an Iceberg?
by Gabriella Caruso, Maurizio Azzaro, Ombretta Dell’Acqua, Maria Papale, Angelina Lo Giudice and Pasqualina Laganà
Microorganisms 2024, 12(10), 2083; https://doi.org/10.3390/microorganisms12102083 - 17 Oct 2024
Viewed by 238
Abstract
Microbial colonization of plastic polymers in Antarctic environments is an under-investigated issue. While several studies are documenting the spread of plastic pollution in the Ross Sea, whether the formation of a plastisphere (namely the complex microbial assemblage colonizing plastics) may favor the spread [...] Read more.
Microbial colonization of plastic polymers in Antarctic environments is an under-investigated issue. While several studies are documenting the spread of plastic pollution in the Ross Sea, whether the formation of a plastisphere (namely the complex microbial assemblage colonizing plastics) may favor the spread of antibiotic-resistant bacteria (ARB) in this marine environment is unknown yet. A colonization experiment was performed in this ecosystem, aiming at exploring the potential role of plastic polymers as a reservoir of antibiotic resistance. To this end, the biofilm-producing activity and the antibiotic susceptibility profiles of bacterial strains isolated from biofilms colonizing submerged polyvinylchloride and polyethylene panels were screened. The colonization experiment was carried out at two different sites of the Ross Sea, namely Road Bay and Tethys Bay. Most of bacterial isolates were able to produce biofilm; several multidrug resistances were detected in the bacterial members of biofilms associated to PVC and PE (also named as the plastisphere), as well as in the bacterial strains isolated from the surrounding water. The lowest percentage of ARB was found in the PE-associated plastisphere from the not-impacted (control) Punta Stocchino station, whereas the highest one was detected in the PVC-associated plastisphere from the Tethys Bay station. However, no selective enrichment of ARB in relation to the study sites or to either type of plastic material was observed, suggesting that resistance to antibiotics was a generalized widespread phenomenon. Resistance against to all the three classes of antibiotics assayed in this study (i.e., cell wall antibiotics, nucleic acids, and protein synthesis inhibitors) was observed. The high percentage of bacterial isolates showing resistance in remote environments like Antarctic ones, suffering increasing anthropic pressure, points out an emerging threat with a potential pathogenic risk that needs further deepening studies. Full article
(This article belongs to the Special Issue Microbial Colonization in Marine Environments)
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Figure 1
<p>Study sites in the Ross Sea, Antarctica.</p>
Full article ">Figure 2
<p>Mean ± standard deviation (from <span class="html-italic">n</span> = 3 independent sample measurements) values of Optical Density (OD) recorded in the biofilm production assay. Reported is the biofilm production in selected bacterial strains isolated from different matrices: polyvinylchloride (PVC), polyethylene (PE), and water (W) from Road Bay (RB) and Punta Stocchino (PTS) stations.</p>
Full article ">Figure 3
<p>(<b>a</b>–<b>d</b>) Road Bay area. Results of antibioticsusceptibility tests of bacterial strains isolated from PVC-associated biofilm. Per each assayed antibiotic, the resistance percentages on the total of the bacterial isolates were calculated. The different panels represent the profiles detected at the impact site (Road Bay, R, affected by anthropic pressure) versus the control site (Punta Stocchino, PTS, unaffected).</p>
Full article ">Figure 3 Cont.
<p>(<b>a</b>–<b>d</b>) Road Bay area. Results of antibioticsusceptibility tests of bacterial strains isolated from PVC-associated biofilm. Per each assayed antibiotic, the resistance percentages on the total of the bacterial isolates were calculated. The different panels represent the profiles detected at the impact site (Road Bay, R, affected by anthropic pressure) versus the control site (Punta Stocchino, PTS, unaffected).</p>
Full article ">Figure 4
<p>(<b>a</b>,<b>b</b>) Tethys Bay area. Results of antibioticsusceptibility tests of bacterial strains isolated from PVC-associated biofilm. Per each assayed antibiotic, the resistance percentages on the total of the bacterial isolates were calculated. The different panels represent the profiles detected at the impact site (Amorphous Glacier, AG, affected by a natural forcing such as a salinity gradient) versus the control site (Tethys Bay, TB).</p>
Full article ">Figure 4 Cont.
<p>(<b>a</b>,<b>b</b>) Tethys Bay area. Results of antibioticsusceptibility tests of bacterial strains isolated from PVC-associated biofilm. Per each assayed antibiotic, the resistance percentages on the total of the bacterial isolates were calculated. The different panels represent the profiles detected at the impact site (Amorphous Glacier, AG, affected by a natural forcing such as a salinity gradient) versus the control site (Tethys Bay, TB).</p>
Full article ">Figure 5
<p>(<b>a</b>–<b>c</b>) Road Bay area. Results of antibioticsusceptibility tests of bacterial strains isolated from PE-associated biofilm. Per each assayed antibiotic, the resistance percentages of the total of the bacterial isolates were calculated. The different panels represent the profiles detected at the impact site (Road Bay, R, affected by anthropic pressure) versus the control site (Punta Stocchino, PTS, unaffected).</p>
Full article ">Figure 5 Cont.
<p>(<b>a</b>–<b>c</b>) Road Bay area. Results of antibioticsusceptibility tests of bacterial strains isolated from PE-associated biofilm. Per each assayed antibiotic, the resistance percentages of the total of the bacterial isolates were calculated. The different panels represent the profiles detected at the impact site (Road Bay, R, affected by anthropic pressure) versus the control site (Punta Stocchino, PTS, unaffected).</p>
Full article ">Figure 6
<p>(<b>a</b>–<b>d</b>) Results of antibioticsusceptibility tests of bacterial strains isolated from water samples. Per each assayed antibiotic, the resistance percentages on the total of the bacterial isolates were calculated. The different panels represent the profiles detected at the impact site in Road Bay (RB) and at both sites in Tethys Bay (Amorphous Glacier, AG, versus its control site Tethys Bay, TB).</p>
Full article ">Figure 6 Cont.
<p>(<b>a</b>–<b>d</b>) Results of antibioticsusceptibility tests of bacterial strains isolated from water samples. Per each assayed antibiotic, the resistance percentages on the total of the bacterial isolates were calculated. The different panels represent the profiles detected at the impact site in Road Bay (RB) and at both sites in Tethys Bay (Amorphous Glacier, AG, versus its control site Tethys Bay, TB).</p>
Full article ">Figure 7
<p>Multiple Antibiotic Resistance (MAR) index calculated from the results of antibioticsusceptibility assay of bacterial strains isolated from biofilm and water samples. PVC, polyvinylchloride; PE, polyethylene; W, water. Road Bay area: impact site (RB, Road Bay). Tethys Bay area: control (TB, Tethys Bay) and impact (AG, Amorphous Glacier).</p>
Full article ">
24 pages, 3171 KiB  
Article
Detoxification of Acrylamide by Potentially Probiotic Strains of Lactic Acid Bacteria and Yeast
by Agnieszka Maher, Karolina Miśkiewicz, Justyna Rosicka-Kaczmarek and Adriana Nowak
Molecules 2024, 29(20), 4922; https://doi.org/10.3390/molecules29204922 (registering DOI) - 17 Oct 2024
Viewed by 239
Abstract
Some potentially probiotic strains of lactic acid bacteria (LAB) and yeast that inhabit the digestive tract of humans are known to detoxify xenobiotics, including acrylamide (AA). The objective of the subsequent research was to evaluate the AA-detoxification capability of LAB and yeast isolated [...] Read more.
Some potentially probiotic strains of lactic acid bacteria (LAB) and yeast that inhabit the digestive tract of humans are known to detoxify xenobiotics, including acrylamide (AA). The objective of the subsequent research was to evaluate the AA-detoxification capability of LAB and yeast isolated from various sources. Namely, the effect of AA was tested on the growth of LAB and yeast strains, as well in the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay. Subsequently, the AA-binding ability of LAB and yeast was investigated in various environments, including the pH, incubation temperature, cell density, and with inanimate cells. The ability of selected LAB and yeast to reduce the genotoxicity of AA was tested on Caco-2 and Hep-G2 cell lines. The results showed that all tested strains exhibited strong resistance to AA at concentrations of 5, 10, and 50 µg/mL. Also, AA was detected in the intracellular and membrane extracts of tested strains. The most effective binding strain was Pediococcus acidilactici 16 at pH = 5, cell density = 109 CFU/mL, and incubation temperature = 37 °C (87.6% of AA removed). Additionally, all tested strains reduced the genotoxicity of AA, with the greatest reduction observed at the highest concentration of 50 µg/mL. The phenomena of detoxification by potentially probiotic strains could reduce the toxic and harmful effects of AA exposure to humans every day. Full article
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Figure 1

Figure 1
<p>Heatmaps of lactic acid bacteria (<b>A</b>) and yeast (<b>B</b>) cell growth after acrylamide (5, 10, 50 µg/mL) exposition during 24 h incubation using the spectrophotometric method. Each data point represents the mean from eight individual wells. The evaluation was conducted in two or three independent experiments. The figures were generated using R Studio software, version 4.3.3.</p>
Full article ">Figure 1 Cont.
<p>Heatmaps of lactic acid bacteria (<b>A</b>) and yeast (<b>B</b>) cell growth after acrylamide (5, 10, 50 µg/mL) exposition during 24 h incubation using the spectrophotometric method. Each data point represents the mean from eight individual wells. The evaluation was conducted in two or three independent experiments. The figures were generated using R Studio software, version 4.3.3.</p>
Full article ">Figure 2
<p>Effect of acrylamide (0, 5, 10, 50 µg/mL) on the growth of lactic acid bacteria (<b>A</b>) and yeast (<b>B</b>) strains during 24 h incubation and evaluated using the pour plate method in an appropriate agar medium. The experiment was performed with two repetitions for each strain. The evaluation was conducted with three independent experiments. Results are visualized as dots and represent the mean ± standard deviation (SD), with the significance of the difference from the unexposed control at * <span class="html-italic">p</span> ≤ 0.0332, ** <span class="html-italic">p</span> ≤ 0.0021, and **** <span class="html-italic">p</span> ≤ 0.0001. The figures were generated using R Studio software, version 4.3.3.</p>
Full article ">Figure 2 Cont.
<p>Effect of acrylamide (0, 5, 10, 50 µg/mL) on the growth of lactic acid bacteria (<b>A</b>) and yeast (<b>B</b>) strains during 24 h incubation and evaluated using the pour plate method in an appropriate agar medium. The experiment was performed with two repetitions for each strain. The evaluation was conducted with three independent experiments. Results are visualized as dots and represent the mean ± standard deviation (SD), with the significance of the difference from the unexposed control at * <span class="html-italic">p</span> ≤ 0.0332, ** <span class="html-italic">p</span> ≤ 0.0021, and **** <span class="html-italic">p</span> ≤ 0.0001. The figures were generated using R Studio software, version 4.3.3.</p>
Full article ">Figure 3
<p>Effect of acrylamide (5, 10, 50 µg/mL) on the cell viability of lactic acid bacteria (<b>A</b>) and yeast (<b>B</b>) strains during 24 h of exposure in the MTT assay. Each data point represents the mean from eight individual wells. The evaluation was conducted using two independent experiments. Results are presented as the mean ± standard deviation (SD), with the significance of the difference from the unexposed control at * <span class="html-italic">p</span> ≤ 0.0332, ** <span class="html-italic">p</span> ≤ 0.0021, *** <span class="html-italic">p</span> ≤ 0.0002, and **** <span class="html-italic">p</span> ≤ 0.0001. The figures were generated using R Studio software, version 4.3.3.</p>
Full article ">Figure 4
<p>Basic endogenous DNA damage in (<b>A</b>) Caco-2 and (<b>B</b>) Hep-G2 after exposure to acrylamide in the presence of lactic acid bacteria and yeast strains, expressed as the mean percentage of DNA in the comet tail in the alkaline comet assay. Fifty cells were analyzed for each treatment. Results are presented as the mean ± standard error of the mean (S.E.M.), with the significance of the difference from the positive control at * <span class="html-italic">p</span> ≤ 0.0332, ** <span class="html-italic">p</span> ≤ 0.0021, and *** <span class="html-italic">p</span> ≤ 0.0002. Positive control 5 µg/mL acrylamide—blue, positive control 50 µg/mL acrylamide—pink, samples with lactic acid bacteria or yeast with addition of 5 or 50 µg/mL acrylamide—black. The figures were generated using GraphPad Prism 10 software.</p>
Full article ">Figure 5
<p>Representative images of 1 mg/mL PI-stained comets of Caco-2 cells: (<b>A</b>) untreated cells; (<b>B</b>) cells treated with 5 µg/mL acrylamide; (<b>C</b>) cells treated with 50 µg/mL acrylamide; (<b>D</b>) cells treated with 5 µg/mL acrylamide + <span class="html-italic">Pediococcus acidilactici</span> 16; (<b>E</b>) cells treated with 50 µg/mL acrylamide + <span class="html-italic">Lactococcus lactis</span> 3; (<b>F</b>) cells treated with 50 µg/mL acrylamide + <span class="html-italic">Kluyveromyces lactis</span> D2. Fluorescence microscopy; 200× magnification.</p>
Full article ">
15 pages, 3279 KiB  
Article
Genomic Analysis of Aeromonas salmonicida ssp. salmonicida Isolates Collected During Multiple Clinical Outbreaks Supports Association with a Single Epidemiological Unit
by Konrad Wojnarowski, Paulina Cholewińska, Peter Steinbauer, Tobias Lautwein, Wanvisa Hussein, Lisa-Marie Streb and Dušan Palić
Pathogens 2024, 13(10), 908; https://doi.org/10.3390/pathogens13100908 - 17 Oct 2024
Viewed by 304
Abstract
Outbreaks of furunculosis cause significant losses in salmonid aquaculture worldwide. With a recent rise in antimicrobial resistance, regulatory measures to minimize the use of antibiotics in animal husbandry, including aquaculture, have increased scrutiny and availability of veterinary medical products to control this disease [...] Read more.
Outbreaks of furunculosis cause significant losses in salmonid aquaculture worldwide. With a recent rise in antimicrobial resistance, regulatory measures to minimize the use of antibiotics in animal husbandry, including aquaculture, have increased scrutiny and availability of veterinary medical products to control this disease in production facilities. In such a regulatory environment, the utility of autogenous vaccines to assist with disease prevention and control as a veterinary-guided prophylactic measure is of high interest to the producers and veterinary services alike. However, evolving concepts of epidemiological units and epidemiological links need to be considered during approval and acceptance procedures for the application of autogenous vaccines in multiple aquaculture facilities. Here, we present the results of solid-state nanopore sequencing (Oxford Nanopore Technologies, ONT) performed on 54 isolates of Aeromonas salmonicida ssp. salmonicida sampled during clinical outbreaks of furunculosis in different aquaculture facilities from Bavaria, Germany, from 2017 to 2020. All of the performed analyses (phylogeny, single nucleotide polymorphism and 3D protein modeling for major immunogenic proteins) support a high probability that all studied isolates belong to the same epidemiological unit. Simultaneously, we describe a cost/effective method of whole genome analysis with the usage of ONT as a viable strategy to study outbreaks of other pathogens in the field of aquatic veterinary medicine for the purpose of developing the best autogenous vaccine candidates applicable to multiple aquaculture establishments. Full article
(This article belongs to the Special Issue Molecular Epidemiology of Pathogenic Agents)
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Figure 1
<p>Map presenting watersheds where samplings were conducted in the timespan of 2017–2020.</p>
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<p>Phylogenetic tree of <span class="html-italic">Aeromonas salmonicida</span> ssp. <span class="html-italic">salmonicida</span> isolates. The scale bar indicates the evolutionary distance in substitutions per nucleotide. The tree was visualized using <a href="http://microreact.org" target="_blank">microreact.org</a>.</p>
Full article ">Figure 3
<p>Results of the SNP analysis representing differences in the number of single nucleotide polymorphisms in tested samples (other samples = 0 SNP difference). (Analysis was performed using the Galaxy web platform and SNP distance matrix 0.8.2 tool).</p>
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<p>Protein structure analysis between reference and selected sample (290-1) [(<b>A</b>)—ASA_2540; (<b>B</b>)—ASA_ 0509; (<b>C</b>)—ASA_1438; (<b>D</b>)—ASA_1267; (<b>E</b>)—OmpA; (<b>F</b>)—OmpC; (<b>G</b>)—OmpF; (<b>H</b>)—AscC; (<b>I</b>)—AexT; a—sequencing coverage; b—3D structure; 1—sample; 2—reference] (analysis was performed using Neurosnap platform and Alphafold 2 model).</p>
Full article ">Figure 4 Cont.
<p>Protein structure analysis between reference and selected sample (290-1) [(<b>A</b>)—ASA_2540; (<b>B</b>)—ASA_ 0509; (<b>C</b>)—ASA_1438; (<b>D</b>)—ASA_1267; (<b>E</b>)—OmpA; (<b>F</b>)—OmpC; (<b>G</b>)—OmpF; (<b>H</b>)—AscC; (<b>I</b>)—AexT; a—sequencing coverage; b—3D structure; 1—sample; 2—reference] (analysis was performed using Neurosnap platform and Alphafold 2 model).</p>
Full article ">Figure 4 Cont.
<p>Protein structure analysis between reference and selected sample (290-1) [(<b>A</b>)—ASA_2540; (<b>B</b>)—ASA_ 0509; (<b>C</b>)—ASA_1438; (<b>D</b>)—ASA_1267; (<b>E</b>)—OmpA; (<b>F</b>)—OmpC; (<b>G</b>)—OmpF; (<b>H</b>)—AscC; (<b>I</b>)—AexT; a—sequencing coverage; b—3D structure; 1—sample; 2—reference] (analysis was performed using Neurosnap platform and Alphafold 2 model).</p>
Full article ">
13 pages, 1548 KiB  
Article
The Preventive and Curative Potential of Morinda citrifolia Essential Oil for Controlling Anthracnose in Cassava Plants: Fungitoxicity, Phytotoxicity and Target Site
by Jossimara F. Damascena, Luis O. Viteri, Matheus H. P. Souza, Raimundo W. Aguiar, Marcos P. Camara, Wellington S. Moura, Eugênio E. Oliveira and Gil R. Santos
Stresses 2024, 4(4), 663-675; https://doi.org/10.3390/stresses4040042 - 17 Oct 2024
Viewed by 248
Abstract
Controlling anthracnose in crops usually depends on synthetic chemicals, but essential oils offer a promising alternative with a potentially lower risk to human health and the environment. This study examines the use of noni (Morinda citrifolia L.) essential oil for preventive and [...] Read more.
Controlling anthracnose in crops usually depends on synthetic chemicals, but essential oils offer a promising alternative with a potentially lower risk to human health and the environment. This study examines the use of noni (Morinda citrifolia L.) essential oil for preventive and curative control of anthracnose in cassava plants. Extracted from ripe noni fruit, the oil was tested at concentrations of 0.1, 0.5, 1.0, 1.5, 2.0, 2.5, and 5.0 µL/mL for its antifungal properties against Colletotrichum species isolated from cassava. We applied the oil both preventively and curatively, monitoring for phytotoxic effects. Phytochemical analysis revealed that the main compounds were octanoic acid (64.03%), hexanoic acid (10.16%), and butanoic acid (8.64%). The oil effectively inhibited C. chrysophillum and C. musicola at 2.0 µL/mL, while C. truncatum required 5.0 µL/mL for significant inhibition. Higher concentrations reduced disease progression but showed phytotoxicity at only 5 µL/mL. Molecular docking suggested that octanoic acid interacts with the fungi’s tyrosine-tRNA ligase enzyme, hinting at its mechanism of action. Collectively, our findings reinforce the potential of noni essential oil as an alternative agent against Colletotrichum spp. in cassava crops. Full article
(This article belongs to the Collection Feature Papers in Plant and Photoautotrophic Stresses)
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Figure 1
<p>Mycelial growth over time of <span class="html-italic">Colletotrichum chrysophilum</span> (<b>A</b>), <span class="html-italic">Colletotrichum musicola</span> (<b>B</b>), and <span class="html-italic">Colletotrichum truncatum</span> (<b>C</b>) in response to varying concentrations of <span class="html-italic">Morinda citrifolia</span> essential oil.</p>
Full article ">Figure 2
<p>Area under the progress curve (AACPD) of cassava anthracnose, caused by <span class="html-italic">Colletotrichum chrysophilum</span>, using different concentrations of <span class="html-italic">Morinda citrifolia</span> essential oil in preventive (<b>A</b>) and curative (<b>B</b>) applications.</p>
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<p>Octanoic acid (red) complexed with tyrosine-tRNA ligase (<b>A</b>) and a 2D map of molecular interactions with amino acids in target active sites (yellow) (<b>B</b>) of <span class="html-italic">Glomerella cingulata</span>.</p>
Full article ">
58 pages, 2369 KiB  
Review
Comprehensive Assessment of the Impact of Green Roofs and Walls on Building Energy Performance: A Scientific Review
by Yara Nasr, Henri El Zakhem, Ameur El Amine Hamami, Makram El Bachawati and Rafik Belarbi
Energies 2024, 17(20), 5160; https://doi.org/10.3390/en17205160 - 16 Oct 2024
Viewed by 395
Abstract
Sustainability and energy efficiency are now two pivotal goals that society aims towards. Green roofs and facades have gained significant attention in this direction for innovative, sustainable solutions for enhancing building energy performance. With a focus on sustainable urban development and energy-efficient building [...] Read more.
Sustainability and energy efficiency are now two pivotal goals that society aims towards. Green roofs and facades have gained significant attention in this direction for innovative, sustainable solutions for enhancing building energy performance. With a focus on sustainable urban development and energy-efficient building practices, this study delves into the intricate relationship between these green infrastructure elements and the overall energy dynamics of constructed environments. Furthermore, a range of case studies from diverse geographical locations are presented to provide valuable insights into their practical implications as emerging technologies that contribute to improved insulation, reduced heat transfer, regulating indoor temperatures, and mitigation of urban heat island effects, thus reducing the need for artificial heating and cooling and optimizing overall energy consumption. This comprehensive review serves as a dataset for understanding and highlighting all the research findings of the numerical and experimental investigations invested in the field of greenery systems to encourage their integration, which is crucial for combating climate change and pollution. Previous research is often focused on isolated, short-term, or single-climate analyses of consumption; therefore, by providing an inclusive description of their practical benefits in both temperate and extreme climates, the gap in previous articles is tackled. Full article
(This article belongs to the Section B: Energy and Environment)
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Figure 1
<p>Bavaria’s balcony tradition [<a href="#B38-energies-17-05160" class="html-bibr">38</a>].</p>
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<p>Green roof layers [<a href="#B50-energies-17-05160" class="html-bibr">50</a>].</p>
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<p>Types of green roofs [<a href="#B54-energies-17-05160" class="html-bibr">54</a>].</p>
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<p>Schematic cross-section of a green roof [<a href="#B78-energies-17-05160" class="html-bibr">78</a>].</p>
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<p>Green wall breakdown and classification.</p>
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17 pages, 2557 KiB  
Article
Three-Year Monitoring of Microorganisms’ Composition and Concentration in Atmospheric Aerosols of Novosibirsk City and Suburbs
by Irina Andreeva, Aleksandr Safatov, Olga Totmenina, Sergei Olkin, Maxim Rebus, Galina Buryak, Tatiana Alikina, Olga Baturina and Marsel Kabilov
Microorganisms 2024, 12(10), 2068; https://doi.org/10.3390/microorganisms12102068 (registering DOI) - 15 Oct 2024
Viewed by 326
Abstract
The atmospheric environment is formed under the influence of local and distant sources as a result of horizontal and vertical transport. In the present work, microbiological analysis of 604 samples of atmospheric aerosol collected in the period from September 2020 to September 2023 [...] Read more.
The atmospheric environment is formed under the influence of local and distant sources as a result of horizontal and vertical transport. In the present work, microbiological analysis of 604 samples of atmospheric aerosol collected in the period from September 2020 to September 2023 at four sites differing in anthropogenic load, located in Novosibirsk and the region, was carried out. Day and night aerosol samples were collected during 12 h every two weeks by filtration using Sartorius reinforced Teflon membranes, then sown on a set of nutrient media. The taxonomic affiliation of the isolated microbial isolates was determined based on phenotypic characteristics and analysis of 16S rRNA gene nucleotide sequences. Changes in the composition and concentration of culturable microorganisms depending on the season, time of day, and site of aerosol sampling were observed. In winter, lower fungi and bacteria of the genera Bacillus, Staphylococcus, Micrococcus dominated with an average concentration from zero to 12.5 CFU/m3 of aerosol. In the warm period, the concentration and diversity of cocci, spore-forming and non-spore-forming bacteria, actinomycetes, and fungi (up to 1970 CFU/m3), among which pathogenic microorganisms were found, increased sharply in aerosols. The use of 16S metabarcoding techniques has greatly expanded the range of aerosols’ microbial diversity detectable. Full article
(This article belongs to the Section Environmental Microbiology)
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Figure 1
<p>Sampling sites of atmospheric aerosols in Novosibirsk and the region. Explanations are in the text.</p>
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<p>(<b>A</b>)—quantitative ratio of different groups of microorganisms from the total number of isolated microorganisms (%); (<b>B</b>)—concentration (CFU/m<sup>3</sup>) of culturable microorganisms of different groups in samples of atmospheric aerosols of Novosibirsk and the region in 2020. “nonspore”—non-spore-bearing bacteria; “act”—actinomyces. Aerosol sampling sites: A—Akademgorodok (Sovetsky district of Novosibirsk); C—Novosibirsk (Kalininsky district); N—settlement Dvurechye, Novosibirsk suburbs; V—settlement Koltsovo, Novosibirsk suburbs (<a href="#microorganisms-12-02068-f001" class="html-fig">Figure 1</a>).</p>
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<p>Daily dynamics of the concentration of culturable microorganisms in the studied atmospheric aerosols (CFU/m<sup>3</sup>). Aerosol sampling sites: A—Akademgorodok (Sovetsky district of Novosibirsk); C—Novosibirsk (Kalininsky district); N—settlement Dvurechye, Novosibirsk suburbs; V —settlement Koltsovo, Novosibirsk suburbs (<a href="#microorganisms-12-02068-f001" class="html-fig">Figure 1</a>).</p>
Full article ">Figure 4
<p>Concentration and composition of culturable microorganisms isolated from atmospheric aerosol samples from Novosibirsk and the region in 2021–2023. Aerosol sampling site designations are the same as in <a href="#microorganisms-12-02068-f003" class="html-fig">Figure 3</a>.</p>
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<p>Relative abundance (%) of genera-specific 16S rRNA gene amplicon sequences in the aerosol samples. For samples 205, 206, w1–w3 metabarcoding was used, but Km and Sb were analyzed by Sanger sequencing.</p>
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<p>The principal component analysis of samples at the genus level. Principal component 1 and 2 explained 75.0% and 17.3% of the total variations, respectively. Red names of top seven taxa by the longest loading vector length are indicated.</p>
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<p>Venn diagram of genera intersection for samples analyzed by 16S metabarcoding (DNA from filters (205, 206) and tiny colonies (w1, w2, w3)) and full 16S Sanger sequencing of isolates (Km and Sb).</p>
Full article ">
22 pages, 1174 KiB  
Article
Dual Stream Encoder–Decoder Architecture with Feature Fusion Model for Underwater Object Detection
by Mehvish Nissar, Amit Kumar Mishra and Badri Narayan Subudhi
Mathematics 2024, 12(20), 3227; https://doi.org/10.3390/math12203227 (registering DOI) - 15 Oct 2024
Viewed by 357
Abstract
Underwater surveillance is an imminent and fascinating exploratory domain, particularly in monitoring aquatic ecosystems. This field offers valuable insights into underwater behavior and activities, which have broad applications across various domains. Specifically, underwater surveillance involves detecting and tracking moving objects within aquatic environments. [...] Read more.
Underwater surveillance is an imminent and fascinating exploratory domain, particularly in monitoring aquatic ecosystems. This field offers valuable insights into underwater behavior and activities, which have broad applications across various domains. Specifically, underwater surveillance involves detecting and tracking moving objects within aquatic environments. However, the complex properties of water make object detection a challenging task. Background subtraction is a commonly employed technique for detecting local changes in video scenes by segmenting images into the background and foreground to isolate the object of interest. Within this context, we propose an innovative dual-stream encoder–decoder framework based on the VGG-16 and ResNet-50 models for detecting moving objects in underwater frames. The network includes a feature fusion module that effectively extracts multiple-level features. Using a limited set of images and performing training in an end-to-end manner, the proposed framework yields accurate results without post-processing. The efficacy of the proposed technique is confirmed through visual and quantitative comparisons with eight cutting-edge methods using two standard databases. The first one employed in our experiments is the Underwater Change Detection Dataset, which includes five challenges, each challenge comprising approximately 1000 frames. The categories in this dataset were recorded under various underwater conditions. The second dataset used for practical analysis is the Fish4Knowledge dataset, where we considered five challenges. Each category, recorded in different aquatic settings, contains a varying number of frames, typically exceeding 1000 per category. Our proposed method surpasses all methods used for comparison by attaining an average F-measure of 0.98 on the Underwater Change Detection Dataset and 0.89 on the Fish4Knowledge dataset. Full article
(This article belongs to the Section Mathematics and Computer Science)
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<p>Proposed architecture for underwater object detection.</p>
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<p>Framework of feature fusion module.</p>
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<p>Visual examples of different challenges present in Underwater Change Detection and Fish4Knowledge datasets.</p>
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<p>Visual analysis of object detection in Underwater Change Detection Dataset: (<b>a</b>) actual image (<b>b</b>) ground-truth, outcomes obtained by (<b>c</b>) GSMM [<a href="#B69-mathematics-12-03227" class="html-bibr">69</a>], (<b>d</b>) AGMM [<a href="#B9-mathematics-12-03227" class="html-bibr">9</a>], (<b>e</b>) ABMM [<a href="#B70-mathematics-12-03227" class="html-bibr">70</a>], (<b>f</b>) ADE [<a href="#B10-mathematics-12-03227" class="html-bibr">10</a>], (<b>g</b>) GWFT [<a href="#B71-mathematics-12-03227" class="html-bibr">71</a>], (<b>h</b>) MFPD [<a href="#B72-mathematics-12-03227" class="html-bibr">72</a>], (<b>i</b>) GAFP [<a href="#B39-mathematics-12-03227" class="html-bibr">39</a>], (<b>j</b>) HPPM [<a href="#B40-mathematics-12-03227" class="html-bibr">40</a>], and (<b>k</b>) proposed method (PM).</p>
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<p>Visual analysis of object detection in Fish4Knowledge dataset: (<b>a</b>) original image (<b>b</b>) ground-truth, results obtained by (<b>c</b>) GSMM [<a href="#B69-mathematics-12-03227" class="html-bibr">69</a>], (<b>d</b>) AGMM [<a href="#B9-mathematics-12-03227" class="html-bibr">9</a>], (<b>e</b>) ABMM [<a href="#B70-mathematics-12-03227" class="html-bibr">70</a>], (<b>f</b>) ADE [<a href="#B10-mathematics-12-03227" class="html-bibr">10</a>], (<b>g</b>) GWFT [<a href="#B71-mathematics-12-03227" class="html-bibr">71</a>], (<b>h</b>) MFPD [<a href="#B72-mathematics-12-03227" class="html-bibr">72</a>], (<b>i</b>) GAFP [<a href="#B39-mathematics-12-03227" class="html-bibr">39</a>], (<b>j</b>) HPPM [<a href="#B40-mathematics-12-03227" class="html-bibr">40</a>], and (<b>k</b>) proposed method (PM).</p>
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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 421
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
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<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>
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<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>
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<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>
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<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>
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12 pages, 504 KiB  
Article
Insertion Sequences within Oxacillinases Genes as Molecular Determinants of Acinetobacter baumannii Resistance to Carbapenems—A Pilot Study
by Dagmara Depka, Tomasz Bogiel, Mateusz Rzepka and Eugenia Gospodarek-Komkowska
Microorganisms 2024, 12(10), 2057; https://doi.org/10.3390/microorganisms12102057 - 12 Oct 2024
Viewed by 310
Abstract
Carbapenem-resistant Acinetobacter baumannii is one of the major problems among hospitalized patients. The presence of multiple virulence factors results in bacteria persistence in the hospital environment. It facilitates bacterial transmission between patients, causing various types of infections, mostly ventilator-associated pneumonia and wound and [...] Read more.
Carbapenem-resistant Acinetobacter baumannii is one of the major problems among hospitalized patients. The presence of multiple virulence factors results in bacteria persistence in the hospital environment. It facilitates bacterial transmission between patients, causing various types of infections, mostly ventilator-associated pneumonia and wound and bloodstream infections. A. baumannii has a variable number of resistance mechanisms, but the most commonly produced are carbapenem-hydrolyzing class D β-lactamases (CHDLs). In our study, the presence of blaOXA-23, blaOXA-40 and blaOXA-51 genes was investigated among 88 clinical isolates of A. baumannii, including 53 (60.2%) strains resistant to both carbapenems (meropenem and imipenem) and 35 (39.8%) strains susceptible to at least meropenem. Among these bacteria, all the isolates carried the blaOXA-51 gene. The blaOXA-23 and blaOXA-40 genes were detected in two (5.7%) and three (8.6%) strains, respectively. Among the OXA-23 carbapenemase-producing A. baumannii strains (n = 55), insertion sequences (ISAba1) were detected upstream of the blaOXA-23 gene in fifty-two (94.5%) carbapenem-resistant and two (3.6%) meropenem-susceptible isolates. A. baumannii clinical strains from Poland have a similar antimicrobial resistance profile as those worldwide, with the presence of ISAba1 among blaOXA-23-positive isolates also being quite common. Carbapenem resistance among A. baumannii strains is associated with the presence of CHDLs, especially when insertion sequences are present. Full article
(This article belongs to the Section Molecular Microbiology and Immunology)
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<p>The origin of meropenem-susceptible <span class="html-italic">A. baumannii</span> strains used in this study, with respect to clinical specimen type (<span class="html-italic">n</span> = 35).</p>
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<p>The detailed origin of <span class="html-italic">bla</span><sub>OXA-23</sub>-positive <span class="html-italic">A. baumannii</span> strains used in this study, with respect to clinical specimen type (<span class="html-italic">n</span> = 53).</p>
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13 pages, 2802 KiB  
Article
Potentially Pathogenic Free-Living Amoebae Isolated from Soil Samples from Warsaw Parks and Squares
by Edyta Beata Hendiger-Rizo, Magdalena Chmielewska-Jeznach, Katarzyna Poreda, Aitor Rizo Liendo, Anna Koryszewska-Bagińska, Gabriela Olędzka and Marcin Padzik
Pathogens 2024, 13(10), 895; https://doi.org/10.3390/pathogens13100895 - 12 Oct 2024
Viewed by 332
Abstract
Free-living amoebae (FLA) are prevalent in diverse environments, representing various genera and species with different pathogenicity. FLA-induced infections, such as the highly fatal amoebic encephalitis, with a mortality rate of 99%, primarily affect immunocompromised individuals while others such as Acanthamoeba keratitis (AK) and [...] Read more.
Free-living amoebae (FLA) are prevalent in diverse environments, representing various genera and species with different pathogenicity. FLA-induced infections, such as the highly fatal amoebic encephalitis, with a mortality rate of 99%, primarily affect immunocompromised individuals while others such as Acanthamoeba keratitis (AK) and cutaneous amebiasis may affect immunocompetent individuals. Despite the prevalence of FLA, there is a lack of standardized guidelines for their detection near human habitats. To date, no studies on the isolation and identification of FLA in environmental soil samples in Warsaw have been published. The aim of this study was to determine the presence of amoebae in soil samples collected from Warsaw parks and squares frequented by humans. The isolated protozoa were genotyped. Additionally, their pathogenic potential was determined through thermophilicity tests. A total of 23 soil samples were seeded on non-nutrient agar plates (NNA) at 26 °C and monitored daily for FLA presence. From the total of 23 samples, 18 were positive for FLA growth in NNA and PCR (78.2%). Acanthamoeba spp. was the most frequently isolated genus, with a total of 13 positive samples (13/18; 72.2%), and the T4 genotype being the most common. Moreover, Platyamoeba placida (3/18; 16.7%), Stenamoeba berchidia (1/18; 5.6%) and Allovahlkampfia sp. (1/18; 5.6%), also potentially pathogenic amoebae, were isolated. To our knowledge, this is the first report of FLA presence and characterization in the Warsaw area. Full article
(This article belongs to the Special Issue Opportunistic and Rare Parasitic Infections)
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<p>Geographical location of the samples.</p>
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<p>Petri dish containing monoxenic FLA cultures (<b>A</b>) and visualized FLA on NNA (<b>B</b>) (Sample WAWA: <span class="html-italic">Platyamoeba placida</span>). Arrows indicate examples of trophozoites.</p>
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<p>Petri dish containing monoxenic FLA cultures (<b>A</b>) and visualized FLA on NNA (<b>B</b>) (Sample WAWO: <span class="html-italic">Acanthamoeba</span> sp.). Arrows indicate examples of trophozoites.</p>
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<p>Petri dish containing monoxenic FLA cultures (<b>A</b>) and visualized FLA on NNA (<b>B</b>) (Sample WAWL: <span class="html-italic">Allovahlkampfia</span> sp.). Purple arrows indicate examples of cysts and blue arrows indicate examples of trophozoites.</p>
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<p>Petri dish containing monoxenic FLA cultures (<b>A</b>) and visualized FLA on NNA (<b>B</b>) (Sample WAWE: <span class="html-italic">Stenamoeba berchidia</span>). Purple arrows indicate examples of cysts and blue arrows indicate examples of trophozoites.</p>
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<p>Petri dish containing monoxenic FLA cultures (<b>A</b>) and visualized FLA on NNA (<b>B</b>) (Sample WAWS: <span class="html-italic">Acanthamoeba polyphaga</span>). Arrows indicate examples of trophozoites.</p>
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<p>Phylogenetic tree showing the relationship of the 18 newly isolated Amoebozoa strains, based on their partial 18S rRNA gene sequences. Branches with support value smaller than 50% were collapsed. Bootstrap values are shown as % next to the branches. Leaf names with the strains isolated in this study are marked with an asterisk (<b>*</b>). The tree is drawn to scale, with branch lengths measured in the number of substitutions per site (0.2). The GenBank accession numbers of the 18S rRNA sequences used to build the tree are as follow: <span class="html-italic">Stenamoeba berchidia,</span> KF547922.1; <span class="html-italic">Acanthamoeba polyphaga,</span> AY026244.1; <span class="html-italic">Allovahlkampfia</span> sp, KF547914.1; <span class="html-italic">Platyamoeba placida,</span> AY294150.1; <span class="html-italic">Acanthamoeba</span> genotype T4, KP756958.1.</p>
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16 pages, 7221 KiB  
Article
ISOS-SAB DC/DC Converter for Large-Capacity Offshore Wind Turbine
by Xipeng Cai, Yixin Liu, Yihua Zhu, Yanbing Zhou, Chao Luo and Qihui Liu
Energies 2024, 17(20), 5071; https://doi.org/10.3390/en17205071 - 12 Oct 2024
Viewed by 411
Abstract
This study offers a modular isolated grid-connected DC/DC medium-voltage DC aggregation converter to support offshore full DC wind farms’ need for lightweight and highly efficient power aggregation and transmission. The converter can simultaneously have a smaller transformer size and lower switching frequency during [...] Read more.
This study offers a modular isolated grid-connected DC/DC medium-voltage DC aggregation converter to support offshore full DC wind farms’ need for lightweight and highly efficient power aggregation and transmission. The converter can simultaneously have a smaller transformer size and lower switching frequency during operation through the dual-voltage stabilization three-loop control strategy and phase-shift modulation strategy, which greatly reduces the space occupied by the converter and lowers the switching loss, Additionally, the use of a two-level structure at a lower switching frequency has lower loss, which effectively reduces the cost of the power device compared with the commonly used three-level converter. The input series output series connection between the converter sub-modules effectively lowers the voltage stress on each power switching device and facilitates expansion into a multi-module structure, expanding its application in high-voltage and large-capacity environments. This study analyzes the two working modes of the DC/DC converter and its control approach, in addition to providing a detailed introduction to the application scenarios of this converter. Ultimately, the efficacy and practicability of the suggested topology and control scheme are confirmed by simulations and experiments. Full article
(This article belongs to the Section A3: Wind, Wave and Tidal Energy)
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<p>Full DC shunt type two-stage boost wind farm topology.</p>
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<p>Structure of DC wind power system.</p>
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<p>DC/DC converter topology.</p>
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<p>CCM modulated signal and output ideal waveform.</p>
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<p>DCM modulated signal and output ideal waveform.</p>
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<p>DC/DC converter control block diagram.</p>
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<p>DC-output wind turbine topology including fault handling circuitry.</p>
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<p>Full DC-type two-stage booster offshore wind farms.</p>
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<p>Stabilized condition related simulation waveforms. (<b>a</b>) Input voltage <span class="html-italic">U</span><sub>dc</sub>, sub-converter input voltage <span class="html-italic">U</span><sub>dc1</sub> and <span class="html-italic">U</span><sub>dc2</sub>, sub-converter output voltage <span class="html-italic">U</span><sub>o1</sub> and <span class="html-italic">U</span><sub>o2</sub>. (<b>b</b>) Converter transmission capacity <span class="html-italic">P</span><sub>o</sub>.</p>
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<p>Voltage and current waveforms on both sides of the transformer during stable operation.</p>
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<p>Simulation-related waveforms under variable operating conditions. (<b>a</b>) Input voltage <span class="html-italic">U</span><sub>dc</sub>, sub-converter input voltage <span class="html-italic">U</span><sub>dc1</sub> and <span class="html-italic">U</span><sub>dc2</sub>, sub-converter output voltage <span class="html-italic">U</span><sub>o1</sub> and <span class="html-italic">U</span><sub>o2</sub>. (<b>b</b>) Input voltage <span class="html-italic">I</span><sub>dc</sub> and (<b>c</b>) converter delivery power <span class="html-italic">P</span><sub>o</sub>.</p>
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<p>Input voltage <span class="html-italic">U</span><sub>dc</sub> waveforms and phase shift <span class="html-italic">α</span> before and after converter failure. (<b>a</b>) Input voltage <span class="html-italic">U</span><sub>dc</sub> and (<b>b</b>) phase shift <span class="html-italic">α</span>.</p>
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<p>Real-time simulation hardware-in-the-loop experiment platform.</p>
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<p>Experimental waveforms related to the converter under stabilized conditions. (<b>a</b>) Input voltage <span class="html-italic">U</span><sub>dc</sub>, <span class="html-italic">U</span><sub>dc1</sub>, and <span class="html-italic">U</span><sub>dc2</sub> of sub-converters. (<b>b</b>) Output voltage <span class="html-italic">U</span><sub>o1</sub> and <span class="html-italic">U</span><sub>o2</sub> of sub-converters. (<b>c</b>) Converter transmission capacity <span class="html-italic">P</span><sub>o</sub>.</p>
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<p>Experimental waveforms of the converter under sudden wind speed change conditions. (<b>a</b>) Input voltage <span class="html-italic">U</span><sub>dc</sub>, (<b>b</b>) input voltage <span class="html-italic">I</span><sub>dc</sub>, (<b>c</b>) sub-converter input voltage <span class="html-italic">U</span><sub>dc1</sub> and <span class="html-italic">U</span><sub>dc2</sub>, (<b>d</b>) sub-converter output voltage <span class="html-italic">U</span><sub>o1</sub> and <span class="html-italic">U</span><sub>o2</sub>.</p>
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<p>Experimental waveforms of converter under fluctuating conditions of DC convergence network. (<b>a</b>) Input voltage <span class="html-italic">U</span><sub>dc</sub> and (<b>b</b>) sub-converter input voltage <span class="html-italic">U</span><sub>dc1</sub> and <span class="html-italic">U</span><sub>dc2</sub>.</p>
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<p>Experimental waveforms of the converter under unbalanced input capacitance conditions. (<b>a</b>) Input voltage <span class="html-italic">U</span><sub>dc</sub> and sub-converter input voltage <span class="html-italic">U</span><sub>dc1</sub> and <span class="html-italic">U</span><sub>dc2</sub>. (<b>b</b>) Input current <span class="html-italic">I</span><sub>dc</sub>.</p>
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19 pages, 4062 KiB  
Article
Investigation of the Effect of High Shear Stress on Mesenchymal Stem Cells Using a Rotational Rheometer in a Small-Angle Cone–Plate Configuration
by Mario Mand, Olga Hahn, Juliane Meyer, Kirsten Peters and Hermann Seitz
Bioengineering 2024, 11(10), 1011; https://doi.org/10.3390/bioengineering11101011 - 11 Oct 2024
Viewed by 476
Abstract
Within the healthy human body, cells reside within the physiological environment of a tissue compound. Here, they are subject to constant low levels of mechanical stress that can influence the growth and differentiation of the cells. The liposuction of adipose tissue and the [...] Read more.
Within the healthy human body, cells reside within the physiological environment of a tissue compound. Here, they are subject to constant low levels of mechanical stress that can influence the growth and differentiation of the cells. The liposuction of adipose tissue and the subsequent isolation of mesenchymal stem/stromal cells (MSCs), for example, are procedures that induce a high level of mechanical shear stress. As MSCs play a central role in tissue regeneration by migrating into regenerating areas and driving regeneration through proliferation and tissue-specific differentiation, they are increasingly used in therapeutic applications. Consequently, there is a strong interest in investigating the effects of shear stress on MSCs. In this study, we present a set-up for applying high shear rates to cells based on a rotational rheometer with a small-angle cone–plate configuration. This set-up was used to investigate the effect of various shear stresses on human adipose-derived MSCs in suspension. The results of the study show that the viability of the cells remained unaffected up to 18.38 Pa for an exposure time of 5 min. However, it was observed that intense shear stress damaged the cells, with longer treatment durations increasing the percentage of cell debris. Full article
(This article belongs to the Special Issue Regenerative Technologies in Plastic and Reconstructive Surgery)
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<p>Schematic illustration of the cone–plate geometry. As the size of the gap increases with the radius, the shear rate <math display="inline"><semantics> <mrow> <mover accent="true"> <mi>γ</mi> <mo>˙</mo> </mover> <mfenced> <mi>r</mi> </mfenced> </mrow> </semantics></math> is uniform in the measurement geometry in laminar flow conditions. Geometries are not shown to scale.</p>
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<p>Media density. Density measurements were performed at 25 °C and ambient pressure (mean with standard deviation, n = 3).</p>
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<p>Influence of shear rate on dynamic viscosity of cell media. Viscosity measured for DMEM (red), DMEM+G (purple), DMEM+G+FCS (green) and water (blue) at 25 °C via rotational rheometer in small-angle cone–plate configuration (mean with standard deviation, n = 6).</p>
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<p>Viscosity behavior of cell media over exposure time of 10 min at constant shear rate of 1 (blue), 2 (red) and 3 × 10<sup>4</sup> s<sup>−1</sup> (green). Viscosity measured for DMEM (circle), DMEM+G (triangle up), DMEM+G+FCS (triangle down) and water (square) at 25 °C via rotational rheometer in small-angle cone–plate configuration. The decline in apparent viscosity over time showed no correlation with the shear rate and remained constant for all media and shear rates.</p>
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<p>Agglomeration in center of the cone geometry during the rheological characterization of DMEM+G+FCS at 10 min exposure time. At shear rates of <math display="inline"><semantics> <mrow> <mover accent="true"> <mi>γ</mi> <mo>˙</mo> </mover> <mo>=</mo> <mn>3</mn> <mo>×</mo> <msup> <mrow> <mn>10</mn> </mrow> <mn>4</mn> </msup> <mo> </mo> <msup> <mi mathvariant="normal">s</mi> <mrow> <mo>−</mo> <mn>1</mn> </mrow> </msup> </mrow> </semantics></math>, the proteins in the fetal calf serum appeared to agglomerate and adhered to the measurement geometry surface. The agglomeration led to the exclusion of DMEM+G+FCS as a possible carrier fluid.</p>
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<p>Characterization of viability and cell size after shearing. Quantification of cell viability (<b>A</b>,<b>B</b>) and relative cell size (<b>C</b>,<b>D</b>) after 5 min (<b>A</b>,<b>C</b>) or 10 min (<b>B</b>,<b>D</b>) shearing at different shear rates (1, 2, 2.5 and 3 × 10<sup>4</sup> s<sup>−1</sup>). Cell cultures without starting the shearing procedure served as control (Ctrl.) cultures (the data set was normalized to the control, depending on the normal data distribution (Shapiro–Wilk test); statistical significance was calculated using an ordinary one-way ANOVA with Dunnett’s multiple comparison test or by Kruskal–Wallis with Dunn’s multiple comparison test (* <span class="html-italic">p</span> &lt; 0.05 significant compared to the Ctrl., n = 6).</p>
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<p>Analysis of the cell debris fraction after shearing. Representative histograms of cell diameter (<b>A</b>) and quantification of cell debris fraction, defined as cell sizes &lt; 10 µm, (<b>B</b>) after 5 min or 10 min shearing with different shear rates (1, 2, 2.5 and 3 × 10<sup>4</sup> s<sup>−1</sup>). Cell cultures without incipient shearing procedure served as control cultures (data set was normalized to control, Shapiro–Wilk test indicated non-normal data distribution, statistical significance was calculated using a Kruskal–Wallis test with Dunn’s multiple comparison test, * <span class="html-italic">p</span> &lt; 0.05 significant compared to control cultures, n = 6).</p>
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<p>Effect of shear on adherence capacity and on the F-actin of AD-MSCs after 24 h. Representative images of adherent cell cultures (<b>A</b>) and F-actin (red) and nuclei (blue) staining (<b>B</b>) after 5 min or 10 min shearing with different shear rates (1, 2, 2.5 and 3 × 10<sup>4</sup> s<sup>−1</sup>). Cell cultures without incipient shearing procedure served as control cultures.</p>
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17 pages, 815 KiB  
Article
Addressing VAWT Aerodynamic Challenges as the Key to Unlocking Their Potential in the Wind Energy Sector
by Abolfazl Abdolahifar and Amir Zanj
Energies 2024, 17(20), 5052; https://doi.org/10.3390/en17205052 - 11 Oct 2024
Viewed by 504
Abstract
While the wind turbine industry has been primarily dominated by horizontal-axis wind turbines, the forefront of knowledge of these turbines has revealed significant challenges in various aspects, including manufacturing, structural design, cost, and maintenance. On the other hand, the advantages associated with Darrieus [...] Read more.
While the wind turbine industry has been primarily dominated by horizontal-axis wind turbines, the forefront of knowledge of these turbines has revealed significant challenges in various aspects, including manufacturing, structural design, cost, and maintenance. On the other hand, the advantages associated with Darrieus vertical-axis wind turbines (VAWTs) demonstrate significant potential that can address the existing challenges of the wind turbine industry. Current work aims to investigate the practicality of this potential for the wind energy sector. To this end, the benefits of employing Darrieus turbines for domestic and industrial applications, isolated operation, and on/offshore windfarm applications have been explored. It is apparent that Darrieus VAWTs are better suited to a wide range of environments, whether they are deployed in isolation or integrated systems, and whether they are utilized on a small or large scale. Darrieus VAWTs are adaptable to urban unsteady variable wind, are less expensive on large scales, provide higher power density at the windfarm level, and provide stability for offshore platforms. Nevertheless, challenges remain in fully harnessing VAWT potential rooted in their complex aerodynamics. This serves as a primary challenge for VAWTs to address the challenges of the wind turbine industry in line with the 2050 roadmap. Full article
(This article belongs to the Special Issue Wind Turbine Aeromechanics: Theory, Methods and Applications)
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<p>Typical performances of wind machines, reproduced from Refs. [<a href="#B8-energies-17-05052" class="html-bibr">8</a>,<a href="#B9-energies-17-05052" class="html-bibr">9</a>].</p>
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<p>Power coefficient curve for different turbine types of HAWTs and VAWTs, reproduced from Ref. [<a href="#B22-energies-17-05052" class="html-bibr">22</a>].</p>
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19 pages, 4842 KiB  
Article
A Surveillance Study of Culturable and Antimicrobial-Resistant Bacteria in Two Urban WWTPs in Northern Spain
by Mario Sergio Pino-Hurtado, Rosa Fernández-Fernández, Allelen Campaña-Burguet, Carmen González-Azcona, Carmen Lozano, Myriam Zarazaga and Carmen Torres
Antibiotics 2024, 13(10), 955; https://doi.org/10.3390/antibiotics13100955 - 11 Oct 2024
Viewed by 528
Abstract
Background/Objectives: Wastewater treatment plants (WWTPs) are hotspots for the spread of antimicrobial resistance into the environment. This study aimed to estimate the proportion of clinically relevant antimicrobial-resistant bacteria in two Spanish urban WWTPs, located in the region of La Rioja (Spain); Methods: Ninety-four [...] Read more.
Background/Objectives: Wastewater treatment plants (WWTPs) are hotspots for the spread of antimicrobial resistance into the environment. This study aimed to estimate the proportion of clinically relevant antimicrobial-resistant bacteria in two Spanish urban WWTPs, located in the region of La Rioja (Spain); Methods: Ninety-four samples (48 water/46 sludge) were collected and streaked on ten different selective media, in order to recover the culturable bacterial diversity with relevant resistance phenotypes: Extended-Spectrum β-Lactamase-producing Escherichia coli/Klebsiella pneumoniae (ESBL-Ec/Kp), Carbapenem-resistant Enterobacteriaceae (CR-E), Methicillin-resistant Staphylococcus aureus (MRSA), and Vancomycin-resistant Enterococcus faecium/faecalis (VR-E. faecium/faecalis). Isolates were identified by MALDI-TOF and were tested for antimicrobial susceptibility using the disk diffusion method. The confirmation of ESBL production was performed by the double-disk test; Results: A total of 914 isolates were recovered (31 genera and 90 species). Isolates with clinically relevant resistance phenotypes such as ESBL-Ec/Kp and CR-E were recovered in the effluent (0.4 × 100–4.8 × 101 CFU/mL) and organic amendment samples (1.0–101–6.0 × 102 CFU/mL), which are discharged to surface waters/agricultural fields. We reported the presence of VR-E. faecium in non-treated sludge and in the digested sludge samples (1.3 × 101–1 × 103 CFU/mL). MRSA was also recovered, but only in low abundance in the effluent (0.2 × 101 CFU/mL); Conclusions: This study highlights the need for improved wastewater technologies and stricter regulations on the use of amendment sludge in agriculture. In addition, regular monitoring and surveillance of WWTPs are critical for early detection and the mitigation of risks associated with the spread of antimicrobial resistance. Full article
(This article belongs to the Special Issue Tracking Reservoirs of Antimicrobial Resistance Genes in Environment)
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<p>Diversity of the bacterial collection recovered from both WWTPs. * Amendment sludge samples (including Digested sludge and Organic amendment). Minorities: <span class="html-italic">Kluyvera</span>; <span class="html-italic">Leclercia</span>; <span class="html-italic">Stenotrophonas</span>; <span class="html-italic">Brevundimonas</span>; <span class="html-italic">Hafnia</span>; <span class="html-italic">Agrobacterium</span>; <span class="html-italic">Comamonas</span>; <span class="html-italic">Erysipelothrix</span>; <span class="html-italic">Exiguobacterium</span>; <span class="html-italic">Empedobacter</span>; <span class="html-italic">Lactobacillus</span>; <span class="html-italic">Micrococcus</span>; <span class="html-italic">Myroides</span>; <span class="html-italic">Rahnella</span>; and <span class="html-italic">Streptococcus</span>. Only <span class="html-italic">Hafnia</span> was detected as a minority genus in the influent samples and <span class="html-italic">Empedobacter</span> in the organic amendment.</p>
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<p>Percentage of detection of (<b>A</b>) <span class="html-italic">Aeromonas</span> spp. and (<b>B</b>) <span class="html-italic">Pseudomonas</span> spp. recovered from both WWTPs.</p>
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<p>Percentage of detection of <span class="html-italic">Staphylococcus</span> spp. recovered from both WWTPs.</p>
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<p>Percentage of detection of <span class="html-italic">Enterococcus</span> spp. recovered from both WWTPs.</p>
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<p>Abundance of the total <span class="html-italic">Enterobacteriaceae</span> and CTX<sup>R</sup>-E recovered on MC Agar plates non-supplemented (MC) and supplemented with CTX (MCX), respectively (log CFU/mL). Amendment sludge samples (including Digested sludge and Organic amendment).</p>
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<p>Abundance of ESBL-producing <span class="html-italic">E. coli</span>/<span class="html-italic">K. pneumoniae</span> (log CFU/mL) in both WWTPs during (<b>A</b>,<b>B</b>) wastewater treatment and (<b>C</b>,<b>D</b>) sewage sludge treatment. Abbreviations<b>:</b> Influent (I); Bioreactor input (B<sub>1</sub>); Bioreactor output (B<sub>2</sub>); Effluent (E); Primary sludge (S<sub>1</sub>); Secondary sludge (S<sub>2</sub>); Mixed sludge (M); Pasteurized sludge (P); Digested sludge (D); and Organic amendment (O).</p>
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<p>Abundance of Carbapenem-resistant <span class="html-italic">Enterobacteriaceae</span> (log CFU/mL) in WWTP-1 during (<b>A</b>) wastewater treatment and (<b>B</b>) sewage sludge treatment. Abbreviations: Influent (I); Bioreactor input (B1); Bioreactor output (B2); Effluent (E); Primary sludge (S1); Secondary sludge (S2); Mixed sludge (M); Pasteurized sludge (P); Digested sludge (D); and Organic amendment (O).</p>
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<p>Diversity of culturable bacterial genera recovered from the WWTP-2 Collectors.</p>
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<p>Sampling points established in WWTP-1. (<b>A</b>) Wastewater treatment and (<b>B</b>) sewage sludge treatment. <a href="https://larioja.org/consorcio-aguas/es/depuracion/instalaciones/depuradoras-servicio/d-r-logrono-bajo-iregua" target="_blank">https://larioja.org/consorcio-aguas/es/depuracion/instalaciones/depuradoras-servicio/d-r-logrono-bajo-iregua</a> (accessed on 15 May 2024).</p>
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<p>Sampling points established in WWTP-2. (<b>A</b>) Wastewater treatment and (<b>B</b>) sewage sludge treatment. <a href="https://larioja.org/consorcio-aguas/es/depuracion/instalaciones/depuradoras-servicio/d-r-calahorra" target="_blank">https://larioja.org/consorcio-aguas/es/depuracion/instalaciones/depuradoras-servicio/d-r-calahorra</a> (accessed on 15 May 2024).</p>
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<p>Culture media used for the isolation of bacteria with relevant resistance phenotypes. * In the case of MacConkey Agar, plates with and without cefotaxime (2 µg/mL) were used. In the case of Slanetz–Bartley Agar, plates with and without vancomycin (4 µg/mL) were used.</p>
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10 pages, 6022 KiB  
Article
The Challenging Life of Mutators: How Pseudomonas aeruginosa Survives between Persistence and Evolution in Cystic Fibrosis Lung
by Martina Rossitto, Valeria Fox, Gianluca Vrenna, Vanessa Tuccio Guarna Assanti, Nour Essa, Maria Stefania Lepanto, Serena Raimondi, Marilena Agosta, Venere Cortazzo, Vanessa Fini, Annarita Granaglia, Enza Montemitro, Renato Cutrera, Carlo Federico Perno and Paola Bernaschi
Microorganisms 2024, 12(10), 2051; https://doi.org/10.3390/microorganisms12102051 - 11 Oct 2024
Viewed by 568
Abstract
Cystic fibrosis (CF) is a life-threatening genetic disease characterised by chronic lung infections sustained by opportunistic pathogens such as Pseudomonas aeruginosa. During the chronic long-lasting lung infections, P. aeruginosa adapts to the host environment. Hypermutability, mainly due to defects in the DNA repair [...] Read more.
Cystic fibrosis (CF) is a life-threatening genetic disease characterised by chronic lung infections sustained by opportunistic pathogens such as Pseudomonas aeruginosa. During the chronic long-lasting lung infections, P. aeruginosa adapts to the host environment. Hypermutability, mainly due to defects in the DNA repair system, resulting in an increased spontaneous mutation rate, represents a way to boost the rapid adaptation frequently encountered in CF P. aeruginosa isolates. We selected 609 isolates from 51 patients with CF chronically colonised by P. aeruginosa to study, by full-length genome sequencing, the longitudinal evolution of the bacterium. We recovered at least one hypermutable (mutator) isolate in 57% of patients. By combining genomic information and phenotypic analyses, we followed the evolutionary pathways of the P. aeruginosa mutator strains, identifying their contribution to multi-drug resistance and the emergence of new sub-lineages. By implementing patient clinical data, we observed that mutators preferentially follow a specific evolutionary trajectory in patients with a negative clinical outcome and that maintenance antibiotic polytherapy, based on alternating molecules, apparently reduces the occurrence of hypermutability. Finally, we draw attention to the possibility that modulator-induced changes in the pulmonary environment may be associated with the onset of hypermutability. Full article
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<p>The mutations in the resistome (resistance-associated genes) identified via whole-genome sequencing and bioinformatics analysis for the 70 mutator <span class="html-italic">Pseudomonas aeruginosa</span>. Mutator genes involved and typology of mutations (missense, nucleotides insertions/deletions, or stop) are shown in different colours and are reported in the legend.</p>
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