[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
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

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (228)

Search Parameters:
Keywords = microorganism carrier

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
26 pages, 9807 KiB  
Article
Critical Geochemical and Microbial Reactions in Underground Hydrogen Storage: Quantifying Hydrogen Loss and Evaluating CO2 as Cushion Gas
by Rana Al Homoud, Marcos Vitor Barbosa Machado, Hugh Daigle and Harun Ates
Hydrogen 2025, 6(1), 4; https://doi.org/10.3390/hydrogen6010004 - 17 Jan 2025
Viewed by 575
Abstract
Hydrogen is a pivotal energy carrier for achieving sustainability and stability, but safe and efficient geological underground hydrogen storage (UHS) is critical for its large-scale application. This study investigates the impacts of geochemical and biochemical reactions on UHS, addressing challenges that threaten storage [...] Read more.
Hydrogen is a pivotal energy carrier for achieving sustainability and stability, but safe and efficient geological underground hydrogen storage (UHS) is critical for its large-scale application. This study investigates the impacts of geochemical and biochemical reactions on UHS, addressing challenges that threaten storage efficiency and safety. Geochemical reactions in saline aquifers, particularly the generation of hydrogen sulfide (H2S), were analyzed using advanced compositional and geochemical modeling calibrated with experimental kinetic data. The results indicate that geochemical reactions have a minimal effect on hydrogen consumption. However, by year 10 of storage operations, H2S levels could reach 12–13 ppm, necessitating desulfurization to maintain storage performance and safety. The study also examines the methanogenesis reaction, where microorganisms consume hydrogen and carbon dioxide to produce methane. Numerical simulations reveal that microbial activity under suitable conditions can reduce in situ hydrogen volume by up to 50%, presenting a critical hurdle to UHS feasibility. These findings highlight the necessity of conducting microbial analyses of reservoir brines during the screening phase to mitigate hydrogen losses. The novelty of this work lies in its comprehensive field-scale analysis of impurity-induced geochemical and microbial reactions and their implications for underground hydrogen storage. By integrating kinetic parameters derived from experimental data with advanced computational modeling, this study uncovers the mechanisms driving these reactions and highlights their impact on storage efficiency, and safety. By offering a detailed field-scale perspective, the findings provide a pivotal framework for advancing future hydrogen storage projects and ensuring their practical viability. Full article
Show Figures

Figure 1

Figure 1
<p>Synthetic 2D homogeneous model representing the saline aquifer studied in this paper (grid top map in meters).</p>
Full article ">Figure 2
<p>Relative permeability curves applied for this study [<a href="#B45-hydrogen-06-00004" class="html-bibr">45</a>,<a href="#B46-hydrogen-06-00004" class="html-bibr">46</a>].</p>
Full article ">Figure 3
<p>Comparison of the H<sub>2</sub>S formation in moles over the years for two cases with different pyrite concentrations (0.5% in black and 2% in red).</p>
Full article ">Figure 4
<p>Comparison of the H<sub>2</sub>S formation in moles over the years for two cases with different hydrogen injection rates (1000 m<sup>3</sup>/d in solid blue, and 5000 m<sup>3</sup>/d in solid red).</p>
Full article ">Figure 5
<p>Comparison of H<sub>2</sub>S production in moles for three scenarios where the cushion gas was hydrogen, methane, and carbon dioxide.</p>
Full article ">Figure 6
<p>Cumulative volume of available H<sub>2</sub> in m<sup>3</sup> in the reservoir over 9 years.</p>
Full article ">Figure 7
<p>Cumulative volume of H<sub>2</sub>S generated in m<sup>3</sup> in the reservoir over 9 years.</p>
Full article ">Figure 8
<p>H<sub>2</sub>S gas mole fraction captured after an elapsed time of one year and a half from the initiation of the simulation.</p>
Full article ">Figure 9
<p>Cumulative produced H<sub>2</sub>S in m<sup>3</sup>.</p>
Full article ">Figure 10
<p>Cumulative produced volume of H<sub>2</sub> in m<sup>3</sup> over time.</p>
Full article ">Figure 11
<p>Cumulative hydrogen production (in kg) for different cases.</p>
Full article ">Figure 12
<p>H<sub>2</sub> volume (in m<sup>3</sup>) in the reservoir with methanation process.</p>
Full article ">Figure 13
<p>Hydrogen cumulative production (in kg) with the prolonged producing operation for Case H and base case.</p>
Full article ">Figure 14
<p>The minimum and maximum impurity levels for the different gases within UHS.</p>
Full article ">Figure 15
<p>Water saturation at the same time point for the base case (on <b>top</b>) and Case H (on <b>bottom</b>).</p>
Full article ">Figure 16
<p>Volume of water (in m<sup>3</sup>) in the aquifer for the base case and Case H.</p>
Full article ">Figure 17
<p>Cumulative water production (in m<sup>3</sup>) for 2 different cases.</p>
Full article ">Figure 18
<p>Average reservoir pressure (in kPa) for 2 different cases.</p>
Full article ">Figure 19
<p>H<sub>2</sub> cumulative moles in the reservoir.</p>
Full article ">Figure 20
<p>CO<sub>2</sub> cumulative moles in the reservoir.</p>
Full article ">
19 pages, 1613 KiB  
Review
Benefits of Immobilized Bacteria in Bioremediation of Sites Contaminated with Toxic Organic Compounds
by Emanuel Gheorghita Armanu, Simone Bertoldi, Łukasz Chrzanowski, Irina Volf, Hermann J. Heipieper and Christian Eberlein
Microorganisms 2025, 13(1), 155; https://doi.org/10.3390/microorganisms13010155 - 14 Jan 2025
Viewed by 1055
Abstract
Although bioremediation is considered the most environmentally friendly and sustainable technique for remediating contaminated soil and water, it is most effective when combined with physicochemical methods, which allow for the preliminary removal of large quantities of pollutants. This allows microorganisms to efficiently eliminate [...] Read more.
Although bioremediation is considered the most environmentally friendly and sustainable technique for remediating contaminated soil and water, it is most effective when combined with physicochemical methods, which allow for the preliminary removal of large quantities of pollutants. This allows microorganisms to efficiently eliminate the remaining contaminants. In addition to requiring the necessary genes and degradation pathways for specific substrates, as well as tolerance to adverse environmental conditions, microorganisms may perform below expectations. One typical reason for this is the high toxicity of xenobiotics present in large concentrations, stemming from the vulnerability of bacteria introduced to a contaminated site. This is especially true for planktonic bacteria, whereas bacteria within biofilms or microcolonies have significant advantages over their planktonic counterparts. A physical matrix is essential for the formation, maintenance, and survival of bacterial biofilms. By providing such a matrix for bacterial immobilization, the formation of biofilms can be facilitated and accelerated. Therefore, bioremediation combined with bacterial immobilization offers a comprehensive solution for environmental cleanup by harnessing the specialized metabolic activities of microorganisms while ensuring their retention and efficacy at target sites. In many cases, such bioremediation can also eliminate the need for physicochemical methods that are otherwise required to initially reduce contaminant concentrations. Then, it will be possible to use microorganisms for the remediation of higher concentrations of xenobiotics, significantly reducing costs while maintaining a rapid rate of remediation processes. This review explores the benefits of bacterial immobilization, highlighting materials and processes for developing an optimal immobilization matrix. It focuses on the following four key areas: (i) the types of organic pollutants impacting environmental and human health, (ii) the bacterial strains used in bioremediation processes, (iii) the types and benefits of immobilization, and (iv) the immobilization of bacterial cells on various carriers for targeted pollutant degradation. Full article
(This article belongs to the Special Issue Latest Review Papers in Environmental Microbiology 2024)
Show Figures

Figure 1

Figure 1
<p>An overview of the most important methods used for organic compound/pollutant removal from contaminated sites.</p>
Full article ">Figure 2
<p>An overview of the main bacterial immobilization methods on various support materials.</p>
Full article ">Figure 3
<p>An overview of the main sources of organic pollutants and possible bioremediation strategies by using bacterial immobilization on a natural carrier.</p>
Full article ">
16 pages, 8075 KiB  
Article
Structure of a Sulfated Capsular Polysaccharide from the Marine Bacterium Cobetia marina KMM 1449 and a Genomic Insight into Its Biosynthesis
by Maxim S. Kokoulin, Yulia V. Savicheva, Alina P. Filshtein, Ludmila A. Romanenko and Marina P. Isaeva
Mar. Drugs 2025, 23(1), 29; https://doi.org/10.3390/md23010029 - 8 Jan 2025
Viewed by 504
Abstract
Some marine and extremophilic microorganisms are capable of synthesizing sulfated polysaccharides with a unique structure. A number of studies indicate significant biological properties of individual sulfated polysaccharides, such as antiproliferative activity, which makes them a promising area for further research. In this study, [...] Read more.
Some marine and extremophilic microorganisms are capable of synthesizing sulfated polysaccharides with a unique structure. A number of studies indicate significant biological properties of individual sulfated polysaccharides, such as antiproliferative activity, which makes them a promising area for further research. In this study, the capsular polysaccharide (CPS) was obtained from the bacterium Cobetia marina KMM 1449, isolated from a marine sediment sample collected along the shore of the Sea of Japan. The CPS was isolated by saline solution, purified by a series of chromatographic procedures, and studied by chemical methods along with 1D and 2D 1H and 13C NMR spectroscopy. The following new structure of the CPS from C. marina KMM 1449 was established and consisted of sulfated and simultaneously phosphorylated disaccharide repeating units: →4)-α-L-Rhap2S-(1→3)-β-D-Manp6PGro-(1→. To elucidate the genetic basis of the CPS biosynthesis, the whole genomic sequence of C. marina KMM 1449 was obtained. The CPS biosynthetic gene cluster (BGC) of about 70 genes composes four regions encoding nucleotide sugar biosynthesis (dTDP-Rha and GDP-Man), assembly (GTs genes), translocation (ABC transporter genes), sulfation (PAPS biosynthesis and sulfotransferase genes) and lipid carrier biosynthesis (wcb operon). Comparative analysis of the CPS BGCs from available Cobetia genomes showed the presence of KMM 1449-like CPS BGC among strains of all three Cobetia species. The study of new natural sulfated polysaccharides, as well as the elucidation of the pathways of their biosynthesis, provides the basis for the development of potential anticancer drugs. Full article
(This article belongs to the Special Issue Exopolysaccharide Isolated from Marine Microorganisms)
Show Figures

Figure 1

Figure 1
<p><sup>1</sup>H NMR spectrum (<b>A</b>) and <sup>13</sup>C NMR spectrum (<b>B</b>) of the CPS from <span class="html-italic">C. marina</span> KMM 1449. Numerals refer to carbons and protons in sugar residues denoted by capital letters, as described in <a href="#marinedrugs-23-00029-t001" class="html-table">Table 1</a>.</p>
Full article ">Figure 2
<p><sup>1</sup>H NMR spectrum (<b>A</b>) and <sup>13</sup>C NMR spectrum (<b>B</b>) of the dPCPS from <span class="html-italic">C. marina</span> KMM 1449. Numerals refer to carbons and protons in sugar residues denoted by capital letters, as described in <a href="#marinedrugs-23-00029-t001" class="html-table">Table 1</a>.</p>
Full article ">Figure 3
<p><sup>1</sup>H, <sup>13</sup>C HSQC spectrum of the dPCPS from <span class="html-italic">C. marina</span> KMM 1449. Numerals refer to carbons and protons in sugar residues denoted by capital letters, as described in <a href="#marinedrugs-23-00029-t001" class="html-table">Table 1</a>.</p>
Full article ">Figure 4
<p>Fragments of the <sup>1</sup>H, <sup>1</sup>H ROESY spectrum (<b>A</b>) and <sup>1</sup>H, <sup>13</sup>C HMBC spectrum (<b>B</b>,<b>C</b>) of the dPCPS from <span class="html-italic">C. marina</span> KMM 1449. Numerals refer to carbons and protons in sugar residues denoted by capital letters, as described in <a href="#marinedrugs-23-00029-t001" class="html-table">Table 1</a>.</p>
Full article ">Figure 5
<p>Genomic tree of <span class="html-italic">Cobetia</span> strains inferred with FastME 2.1.6.1 [<a href="#B19-marinedrugs-23-00029" class="html-bibr">19</a>] based on GBDP distances (formula d5). GBDP pseudo-bootstrap support values are shown &gt;50% from 100 replications. The average branch support was 83.5%. The tree was rooted at the midpoint. Strains with KMM 1449-like CPS gene cluster organization are marked with a red diamond, and strains with known polysaccharide structures are marked with a blue circle. KMM 1449 is marked in bold.</p>
Full article ">Figure 6
<p>Chromosome location (<b>a</b>) and gene cluster organization (<b>b</b>) for the KMM 1449 CPS biosynthesis. Visualization was performed on the Proksee server [<a href="#B24-marinedrugs-23-00029" class="html-bibr">24</a>]. The scale is shown in megabases (Mbp) for chromosomes and in kilobases (Kbp) for gene clusters. A gene for UDP-D-Glc biosynthesis is shown in red on chromosomes.</p>
Full article ">Figure 7
<p>A scheme of metabolic pathways for the biosynthesis of activated nucleotide sugars for <span class="html-italic">Cobetia</span> KMM 1449 CPS obtained from genomic sequence data. The EC numbers identify the corresponding enzymes: EC 3.2.1.20 alpha-glucosidase; EC 2.7.1.2 glucokinase; EC 5.3.1.9 glucose-6-phosphate isomerase; EC 5.4.2.2 phosphoglucomutase; EC 2.7.7.9 UTP-glucose-1-phosphate uridylyltransferase; EC 2.7.7.24 glucose-1-phosphate thymidylyltransferase; EC 4.2.1.46 dTDP-glucose 4,6-dehydratase; EC 5.1.3.13 dTDP-4-dehydrorhamnose 3,5-epimerase; EC 1.1.1.133 dTDP-4-dehydrorhamnose reductase; EC 1.1.1.67 mannitol 2-dehydrogenase; EC 2.7.1.90 6-phosphofructokinase; EC 2.2.1.1 transketolase; EC 5.3.1.8 mannose-6-phosphate isomerase; EC 5.4.2.8 phosphomannomutase; EC 2.7.7.13 mannose-1-phosphate guanylyltransferase; EC 2.7.1.56 1-phosphofructokinase; EC 2.7.1.17 xylulokinase; EC 5.3.1.5 xylose isomerase; GT, glycosyltransferases; ST, sulfotransferase.</p>
Full article ">Figure 8
<p>The comparisons of CPS gene loci between the <span class="html-italic">Cobetia</span> representatives. KMM 1449, <span class="html-italic">C. marina</span>; D5, <span class="html-italic">Cobetia</span> sp.; N-80, <span class="html-italic">C. amphilecti</span>; ena-yuan-GCF_007786215.1, <span class="html-italic">C. crustatorum</span>; MM1IDA2H-1AD, <span class="html-italic">C. marina</span>; cqz5-12, <span class="html-italic">Cobetia</span> sp.; and KMM 3879, <span class="html-italic">C. marina</span>; KMM 3880, <span class="html-italic">C. amphilecti</span>.</p>
Full article ">
21 pages, 1095 KiB  
Review
Effects of Calcium-Oxide-Modified Biochar on the Anaerobic Digestion of Vacuum Blackwater
by Ping Fa Chiang, Teng Ling Zhang, Abdulmoseen Segun Giwa, Ndungutse Jean Maurice, Mugabekazi Joie Claire, Nasir Ali, Ehtisham Shafique and Mohammadtaghi Vakili
Molecules 2025, 30(2), 215; https://doi.org/10.3390/molecules30020215 (registering DOI) - 7 Jan 2025
Viewed by 733
Abstract
The increasing global population and urbanization have led to significant challenges in waste management, particularly concerning vacuum blackwater (VBW), which is the wastewater generated from vacuum toilets. Traditional treatment methods, such as landfilling and composting, often fall short in terms of efficiency and [...] Read more.
The increasing global population and urbanization have led to significant challenges in waste management, particularly concerning vacuum blackwater (VBW), which is the wastewater generated from vacuum toilets. Traditional treatment methods, such as landfilling and composting, often fall short in terms of efficiency and sustainability. Anaerobic digestion (AD) has emerged as a promising alternative, offering benefits such as biogas production and digestate generation. However, the performance of AD can be influenced by various factors, including the composition of the feedstock, pH levels, and the presence of inhibitors. This review investigates the effects of calcium oxide (CaO)-modified biochar (BC) as an additive in AD of VBW. Modifying BC with CaO enhances its alkalinity, nutrient retention, and adsorption capacity, creating a more favorable environment for microorganisms and promoting biogas production, which serves as a valuable source of heat, fuel and electricity. Additionally, the digestate can be processed through plasma pyrolysis to ensure the complete destruction of pathogens while promoting resource utilization. Plasma pyrolysis operates at extremely high temperatures, effectively sterilizing the digestate and eliminating both pathogens and harmful contaminants. This process not only guarantees the safety of the end products, but also transforms organic materials into valuable outputs such as syngas and slag. The syngas produced is a versatile energy carrier that can be utilized as a source of hydrogen, electricity, and heat, making it a valuable resource for various applications, including fuel cells and power generation. Furthermore, the slag has potential for reuse as an additive in the AD process or as a biofertilizer to enhance soil properties. This study aims to provide insights into the benefits of using modified BC as a co-substrate in AD systems. The findings will contribute to the development of more sustainable and efficient waste management strategies, addressing the challenges associated with VBW treatment while promoting renewable energy production. Full article
(This article belongs to the Topic Advances in Organic Solid Waste and Wastewater Management)
Show Figures

Figure 1

Figure 1
<p>Simple route of biochar production and modification.</p>
Full article ">Figure 2
<p>Schematic representation of calcium-oxide-modified biochar as an additive in anaerobic digestion of vacuum blackwater co-processed with plasma pyrolysis.</p>
Full article ">
17 pages, 2618 KiB  
Article
Performance Evaluation of Modified Biochar as a Polycyclic Aromatic Hydrocarbon Adsorbent and Microbial-Immobilized Carrier
by Shuying Geng, Shushuai Mao, Guangming Xu, Aizhong Ding, Feiyong Chen, Junfeng Dou and Fuqiang Fan
Processes 2024, 12(12), 2939; https://doi.org/10.3390/pr12122939 - 23 Dec 2024
Viewed by 466
Abstract
Herein, biochars derived from corn stalks, rice husks, and bamboo powder were modified by nitric acid oxidation and sodium hydroxide alkali activation to identify efficient and cost-effective polycyclic aromatic hydrocarbon-adsorbent and microbial-immobilized carriers. The surface characterization and adsorption investigation results suggested that acid/alkali [...] Read more.
Herein, biochars derived from corn stalks, rice husks, and bamboo powder were modified by nitric acid oxidation and sodium hydroxide alkali activation to identify efficient and cost-effective polycyclic aromatic hydrocarbon-adsorbent and microbial-immobilized carriers. The surface characterization and adsorption investigation results suggested that acid/alkali modification promoted the phenanthrene removal ability in an aqueous solution of biochars via facilitating π–π/n–π electron donor–acceptor interactions, electrostatic interactions, hydrogen bonds, and hydrophobic interactions. Subsequently, the degrading bacteria Rhodococcus sp. DG1 was successfully immobilized on the rice husk-derived biochar with nitric acid oxidation (RBO), which exhibited the maximum phenanthrene adsorption efficiency (3818.99 µg·g−1), abundant surface functional groups, and a larger specific surface area (182.6 m2·g−1) and pore volume (0.141 m3·g−1). Degradation studies revealed that the microorganisms immobilized on RBO by the adsorption method yielded a significant phenanthrene removal rate of 80.15% after 30 days, which was 38.78% higher than that of the control. Conversely, the polymer gel network-based microenvironment in the microorganism-immobilized RBO by the combined adsorption–embedding method restricted the migration and diffusion of nutrients and pollutants in the reaction system. This study thus introduces an innovative modified biochar-based microbial immobilization technology characterized by a simple design, convenient operation, and high adsorption efficiency, offering valuable insights into material selection for PAH contamination bioremediation. Full article
(This article belongs to the Special Issue State-of-the-Art Wastewater Treatment Techniques)
Show Figures

Figure 1

Figure 1
<p>The fabrication procedure of biochar-immobilized microorganisms. The microorganisms immobilized by adsorption method and adsorption–embedding method were labeled as ARB and ERB, respectively.</p>
Full article ">Figure 2
<p>FTIR spectra (<b>a</b>), XRD patterns (<b>b</b>), and SEM images of biochar (<b>c</b>).</p>
Full article ">Figure 3
<p>Adsorption kinetics of PHE onto biochars, where (<b>a</b>–<b>c</b>) are kinetic model fitting; (<b>d</b>) is for IPD model fitting.</p>
Full article ">Figure 4
<p>Adsorption isotherms of PHE onto biochar.</p>
Full article ">Figure 5
<p>Adsorption and degradation mechanisms of PHE by biochar-immobilized microorganism.</p>
Full article ">Figure 6
<p>Degradation rates of PHE by different inoculants.</p>
Full article ">
15 pages, 2015 KiB  
Communication
Probable New Species of Bacteria of the Genus Pseudomonas Accelerates and Enhances the Destruction of Perfluorocarboxylic Acids
by Sergey Chetverikov, Gaisar Hkudaigulov, Danil Sharipov and Sergey Starikov
Toxics 2024, 12(12), 930; https://doi.org/10.3390/toxics12120930 - 22 Dec 2024
Viewed by 522
Abstract
Bacteria of the genus Pseudomonas are the most studied microorganisms that biodegrade persistent perfluoroorganic pollutants, and the research of their application for the remediation of environmental sites using biotechnological approaches remains relevant. The aim of this study was to investigate the ability of [...] Read more.
Bacteria of the genus Pseudomonas are the most studied microorganisms that biodegrade persistent perfluoroorganic pollutants, and the research of their application for the remediation of environmental sites using biotechnological approaches remains relevant. The aim of this study was to investigate the ability of a known destructor of perfluorooctane sulfonic acid from the genus Pseudomonas to accelerate and enhance the destruction of long-chain perfluorocarboxylic acids (PFCAs), specifically perfluorooctanoic acid and perfluorononanoic acid, in water and soil in association with the strain P. mosselii 5(3), which has previously confirmed genetic potential for the degrading of PFCAs. The complete genome (5.86 million base pairs) of the strain 2,4-D, probably belonging to a new species of Pseudomonas, was sequenced, assembled, and analyzed. The genomes of both strains contain genes involved in the defluorination of fluorinated compounds, including haloacetate dehalogenase H-1 (dehH1) and haloalkane dehalogenase (dhaA). The strain 2,4-D also has a multicomponent enzyme system consisting of a dioxygenase component, an electron carrier, and 2-halobenzoate 1,2-dioxygenase (CbdA) with a preference for fluorides. The strain 2,4-D was able to defluorinate PFCAs in an aqueous cultivation system within 7 days, using them as the sole source of carbon and energy and converting them to perfluorheptanoic acid. It assisted strain 5(3) to convert PFCAs to perfluoropentanoic acid, accelerating the process by 24 h. In a model experiment for the bioaugmentation of microorganisms in artificially contaminated soil, the degradation of PFCAs by the association of pseudomonads also occurred faster and deeper than by the individual strains, achieving a degree of biodestruction of 75% over 60 days, with the perfluoropentanoic acid as the main metabolite. These results are of great importance for the development of methods for the biological recultivation of fluorinated organic pollutants for environmental protection and for understanding the fundamental mechanisms of bacterial interactions with these compounds. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Assembly metrics of the strain 2,4-D (<b>A</b>): whole-genome phylogenetic tree within the genus <span class="html-italic">Pseudomonas</span> (<b>B</b>) and the number of genes associated with common functional categories in its genome according to KEGG classification (<b>C</b>).</p>
Full article ">Figure 2
<p>Dynamics of fluoride ion release and changes in PFCA concentrations during cultivation in liquid mineral medium ((<b>A</b>) with PFOA, (<b>C</b>) with PFNA) of <span class="html-italic">Pseudomonas</span> sp. 2,4-D strains (blue), <span class="html-italic">P. mosselii</span> 5(3) (black), their association (red), and degree of biodegradation potential based on component ratios (%) in the mixture on day 7 in the variants (<b>B</b>) with PFOA and (<b>D</b>) with PFNA. The data are presented as mean values. The error bars represent the s.d. from <span class="html-italic">n</span> = 3 replicate experiments.</p>
Full article ">Figure 3
<p>Temporal characteristics and chromatograms of PFCA separation on a chromatograph-mass spectrometer (<b>A</b>) and the detection of released fluoride ions by ion chromatography (<b>B</b>).</p>
Full article ">Figure 4
<p>Kinetics of the growth of <span class="html-italic">Pseudomonas</span> sp. 2,4-D (blue), <span class="html-italic">P. mosselii</span> 5(3) (black), and the consortium of both (red) during pot assays of the biodegradation of PFOA (<b>A</b>,<b>B</b>) and PFNA (<b>D</b>,<b>E</b>) and the ratio (%) of the end products of PFOA (<b>C</b>) and PFNA (<b>F</b>) biodegradation (model experiment in soil). The data are presented as mean values. The error bars represent the s.d. from <span class="html-italic">n</span> = 3 replicate experiments.</p>
Full article ">
13 pages, 1765 KiB  
Article
Preparation of Composite Materials with Slow-Release Biocides and Solidifying Agents for Remediation of Acid Pollution in Coal Gangue
by Mengying Ruan, Zhenqi Hu, Huiming Fang, Yuan Li and Zhewei Shi
Sustainability 2024, 16(23), 10598; https://doi.org/10.3390/su162310598 - 3 Dec 2024
Viewed by 688
Abstract
The processes of coal mining and washing generate a substantial amount of coal gangue. During prolonged outdoor storage, this waste can lead to both direct and indirect environmental pollution, as well as geological hazards. Recent research has indicated that the redox processes of [...] Read more.
The processes of coal mining and washing generate a substantial amount of coal gangue. During prolonged outdoor storage, this waste can lead to both direct and indirect environmental pollution, as well as geological hazards. Recent research has indicated that the redox processes of coal gangue are regulated by microorganisms. Techniques such as the application of biocides and the facilitation of microbial interactions have proven effective in controlling the acidic pollution of coal gangue in the short term. However, conventional doping methods that couple sulfate-reducing bacteria with biocides face challenges, including a short effective duration and poor stability. To address these issues, this study utilized corn straw biochar as a microbial attachment material and incorporated water-retaining agents as slow-release biocide carriers, resulting in the development of an environmentally friendly microbial remediation material. This study selected 0.6 g of biochar produced from the pyrolysis of corn straw at 700 °C to immobilize sulfate-reducing bacteria. Additionally, 0.6 g of polyacrylamide was used to prepare a slow-release bactericide with 100 mL of a sodium dodecyl sulfate solution at a concentration of 50 mg·L−1. The composite remediation material successfully raises the pH of weathered coal gangue leachate from 4.32 to 6.88. Its addition notably reduces the sulfate ion concentration in the weathered coal gangue, with sulfate content decreasing by 86.45%. Additionally, the composite material effectively lowers the salinity of the weathered coal gangue. The composite immobilizes heavy metal ions within the weathered coal gangue, achieving an approximate removal rate of 80% over 30 days. Following the introduction of the composite material, significant changes were observed in the dominant microbial communities and population abundances on the surface of the coal gangue. The composite demonstrated the ability to rapidly, sustainably, and effectively remediate the acidification pollution associated with coal gangue. Full article
Show Figures

Figure 1

Figure 1
<p>Curing rate of biochar solidified sulfate-reducing bacteria.</p>
Full article ">Figure 2
<p>Water-retention agents’ liquid holding capacity and release rate for different biocides.</p>
Full article ">Figure 3
<p>The variation curves of pH for gangue leaching solutions.</p>
Full article ">Figure 4
<p>The variation curve of sulfate content in gangue leaching solutions.</p>
Full article ">Figure 5
<p>The variation curves of EC for gangue leaching solutions.</p>
Full article ">Figure 6
<p>The variation curves of Pb<sup>2+</sup> and Cd<sup>2</sup><sup>+</sup> for gangue leaching solutions.</p>
Full article ">Figure 7
<p>Relative abundance of bacteria at the phylum level in coal gangue.</p>
Full article ">
21 pages, 9565 KiB  
Article
Impact Mechanisms of Different Ecological Forest Restoration Modes on Soil Microbial Diversity and Community Structure in Loess Hilly Areas
by Gang Chen, Jinjun Cai, Weiqian Li, Yitong Liu, Yan Wu and Tongtong Wang
Appl. Sci. 2024, 14(23), 11162; https://doi.org/10.3390/app142311162 - 29 Nov 2024
Viewed by 656
Abstract
The Loess Plateau, with a fragile ecological environment, is one of the most serious water- and soil-eroded regions in the world, which has been improved by large-scale projects involving returning farmland to forest and grassland. This work is mainly aimed at exploring a [...] Read more.
The Loess Plateau, with a fragile ecological environment, is one of the most serious water- and soil-eroded regions in the world, which has been improved by large-scale projects involving returning farmland to forest and grassland. This work is mainly aimed at exploring a more reasonable and efficient ecological forest restoration mode and revealing synergistic restoration mechanisms. This study sampled typical Loess Plateau areas and designed the restoration modes for pure forests of Armeniaca sibirica L. (AR), Amygdalus davidiana (Carrière) de Vos ex Henry. (AM), Medicago sativa L. (MS), and mixed forests of apricot–peach–alfalfa (AR&AM&MS), using abandoned land (AL) as a control treatment. The effects of these modes on the physical and chemical properties and enzyme activities of various soils were investigated in detail. Moreover, the soil microbial diversity and community structure, functional gene diversity, and differences in the restoration modes were deeply analyzed by meta-genomic sequencing technology, and the inherent driving correlation and mechanisms among these indicators were discussed. The results showed that the soil water content and porosity of the AR, AM, and AR&AM&MS treatments increased significantly, while the bulk density decreased significantly, compared with AL. Moreover, the total carbon, total nitrogen, nitrate nitrogen, total phosphorus, available phosphorus, total potassium, and available potassium contents of the AR&AM&MS restoration mode increased significantly. Compared to CK, there was no significant change in the catalase content of pure forest and mixed forest; however, the contents of urease, phosphatase, sucrase, B-glycanase, and N-acetylglucosaminidase in the restoration mode of the mixed forest all increased significantly. The species diversity index of the restoration modes is similar, and the dominant bacteria in soil microorganisms include Proteobacteria, Acidobacteria, Actinobacteria, Bacteroidetes, and Gemmatimonadetes. The mixed forest restoration mode had the highest microbial abundance. The functional gene diversity of the different restoration modes was also similar, including kegg genes, eggNOG genes, and carbohydrate enzymes. The functional genes of the mixed forest restoration mode were the most abundant, and their restoration mechanism was related to the coupling effect of soil–forest grass. After evaluation, the restoration mode of mixed forest was superior to that of pure forest or pure grass. This is attributed to the fact that the mode can improve soil structure, retain soil moisture, enhance soil enzyme activity, optimize soil microbial community structure, and improve microbial diversity and functional gene activity. This provides key data for the restoration of fragile ecological areas, and the promotion of sustainable management of forests and grass in hilly areas of the Loess Plateau. Full article
Show Figures

Figure 1

Figure 1
<p>Schematic map of the research area.</p>
Full article ">Figure 2
<p>Chemical properties of soils in different restoration patterns. (<b>a</b>) total carbon, (<b>b</b>) organic carbon, (<b>c</b>) total nitrogen, (<b>d</b>) alkaline nitrogen, (<b>e</b>) ammonium nitrogen, and (<b>f</b>) nitrate nitrogen. Note: Letters represent significant differences between different soil layers in the same stand (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 3
<p>Soil enzyme activities in different restoration patterns. (<b>a</b>) catalase, (<b>b</b>) urease, (<b>c</b>) phosphatase, (<b>d</b>) sucrase, (<b>e</b>) BG enzyme, and (<b>f</b>) NAG enzyme. Note: Letters represent significant differences between different soil layers in the same stand (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 4
<p>Venn diagram of the number of operable taxonomic units (OTUs) for different restoration modes.</p>
Full article ">Figure 5
<p>Horizontal species distribution under different restoration modes. (<b>a</b>) boundary level, (<b>b</b>) phylum level, (<b>c</b>) class level, and (<b>d</b>) order level.</p>
Full article ">Figure 6
<p>Relative abundance clustering of different restoration modes.</p>
Full article ">Figure 7
<p>Beta diversity analysis of species for different restoration modes. (<b>a</b>) principal component analysis, (<b>b</b>) principal coordinate analysis method, and (<b>c</b>) non-metric multidimensional calibration method.</p>
Full article ">Figure 8
<p>Functional gene composition and abundance, (<b>a</b>) kegg function, (<b>b</b>) eggNOG function, (<b>c</b>) carbohydrate-active enzymes, and (<b>d</b>) antibiotic resistance genes.</p>
Full article ">Figure 9
<p>Beta diversity analysis of functional genes for different forest restoration modes, (<b>a</b>) the principal component analysis, and (<b>b</b>) principal coordinate analysis method.</p>
Full article ">Figure 10
<p>Heat map of intergroup abundance. (<b>a</b>) Intergroup differences between species at the genus level and (<b>b</b>) intergroup differences in functional genes.</p>
Full article ">
17 pages, 653 KiB  
Article
Investigation of Carriers of Salmonella and Other Hydrogen Sulphide-Positive Bacteria in the Digestive Content of Fish from the Atlantic Area of Macaronesia: A Comparative Study of Identification by API Gallery and MALDI-TOF MS
by Inmaculada Rosario Medina, Marco Antonio Suárez Benítez, María del Mar Ojeda-Vargas, Kiara Gallo, Daniel Padilla Castillo, Miguel Batista-Arteaga, Soraya Déniz Suárez, Esther Licia Díaz Rodríguez and Begoña Acosta-Hernández
Animals 2024, 14(22), 3247; https://doi.org/10.3390/ani14223247 - 12 Nov 2024
Viewed by 793
Abstract
Salmonella spp. are known pathogens in fish, with their presence potentially resulting from the contamination of the aquatic environment or improper handling. Accurate bacterial identification is crucial across various fields, including medicine, microbiology, and the food industry, and thus a range of techniques [...] Read more.
Salmonella spp. are known pathogens in fish, with their presence potentially resulting from the contamination of the aquatic environment or improper handling. Accurate bacterial identification is crucial across various fields, including medicine, microbiology, and the food industry, and thus a range of techniques are available for this purpose. In this study, Salmonella spp. and other hydrogen sulphide-positive bacteria were investigated in the digestive contents of fish destined for consumption from the Atlantic area of Macaronesia. Two identification techniques were compared: the traditional API method and the MALDI-TOF MS technique. For the identification of Salmonella spp. carriers, 59 samples were processed following ISO 6579–1:2017. A total of 47 strains of Gram-negative bacilli were obtained. No Salmonella spp. isolates were detected. The most frequent genus was Enterobacter (76.50%), followed by Shewanella (10.63%). The MALDI-TOF MS technique showed a high concordance with the API technique, with 72.34% concordance at the species level. Both techniques demonstrated a high degree of concordance in the identification of Enterobacter cloacae, with 87.23% genus-level concordance and 12.76% non-concordant identifications. This study highlights the limitations of the API technique and the speed and precision of MALDI-TOF MS. The identified bacteria could pose a health risk to humans. Full article
(This article belongs to the Section Aquatic Animals)
Show Figures

Figure 1

Figure 1
<p>Identifications obtained using the API technique according to fish species.</p>
Full article ">Figure 2
<p>Identifications obtained using the MALDI-TOF MS technique according to fish species.</p>
Full article ">
22 pages, 1932 KiB  
Review
Calcium Transport and Enrichment in Microorganisms: A Review
by Hai Zhou, Yan-Yu Hu, Zhen-Xing Tang, Zhong-Bao Jiang, Jie Huang, Tian Zhang, Hui-Yang Shen, Xin-Pei Ye, Xuan-Ya Huang, Xiang Wang, Ting Zhou, Xue-Lian Bai, Qin Zhu and Lu-E Shi
Foods 2024, 13(22), 3612; https://doi.org/10.3390/foods13223612 - 12 Nov 2024
Viewed by 1347
Abstract
Calcium is a vital trace element for the human body, and its deficiency can result in a range of pathological conditions, including rickets and osteoporosis. Despite the numerous types of calcium supplements currently available on the market, these products are afflicted with a [...] Read more.
Calcium is a vital trace element for the human body, and its deficiency can result in a range of pathological conditions, including rickets and osteoporosis. Despite the numerous types of calcium supplements currently available on the market, these products are afflicted with a number of inherent deficiencies, such as low calcium content, poor aqueous solubility, and low human absorption rate. Many microorganisms, particularly beneficial microorganisms, including edible fungi, lactic acid bacteria, and yeast, are capable of absorbing and enriching calcium, a phenomenon that has been widely documented. This opens the door to the potential utilization of microorganisms as novel calcium enrichment carriers. However, the investigation of calcium-rich foods from microorganisms still faces many obstacles, including a poor understanding of calcium metabolic pathways in microorganisms, a relatively low calcium enrichment rate, and the slow growth of strains. Therefore, in order to promote the development of calcium-rich products from microorganisms, this paper provides an overview of the impacts of calcium addition on strain growth, calcium enrichment rate, antioxidant system, and secondary metabolite production. Additionally, it highlights calcium transport and enrichment mechanisms in microorganism cells and offers a detailed account of the progress made on calcium-binding proteins, calcium transport pathways, and calcium storage and release. This paper offers insights for further research on the relevant calcium enrichment in microorganism cells. Full article
(This article belongs to the Section Food Microbiology)
Show Figures

Figure 1

Figure 1
<p>The typical Ca<sup>2+</sup> channels. Voltage-operated calcium (VOC) channels, transient receptor potential calcium (TRPC) channels, store-operated calcium (SOC) channels, and acid-regulated calcium (ARC) channels.</p>
Full article ">Figure 2
<p>The common Ca<sup>2+</sup> transport pathways in eukaryotic cells.</p>
Full article ">Figure 3
<p>The common calcium-binding proteins in eukaryotic organisms. (<b>A</b>) calmodulin (CaM) from <span class="html-italic">Pongo abelii</span>; (<b>B</b>) protein kinase C (PKC) from <span class="html-italic">Caenorhabditis elegans</span>; (<b>C</b>) CaM from <span class="html-italic">Caenorhabditis elegans</span>; (<b>D</b>) calcineurin B-like protein (CBL) from <span class="html-italic">Homo sapiens</span>; (<b>E</b>) calcium-dependent protein kinase (CDPK) from <span class="html-italic">Solanum tuberosum</span>.</p>
Full article ">Figure 4
<p>The intracellular Ca<sup>2+</sup> transport channel in <span class="html-italic">Candida albicans</span>.</p>
Full article ">
19 pages, 2431 KiB  
Article
Molecular Characterization of Multidrug-Resistant Escherichia coli from Fecal Samples of Wild Animals
by Carolina Sabença, Mario Romero-Rivera, Raquel Barbero-Herranz, Roberto Sargo, Luís Sousa, Filipe Silva, Filipa Lopes, Ana Carolina Abrantes, Madalena Vieira-Pinto, Carmen Torres, Gilberto Igrejas, Rosa del Campo and Patrícia Poeta
Vet. Sci. 2024, 11(10), 469; https://doi.org/10.3390/vetsci11100469 - 1 Oct 2024
Cited by 1 | Viewed by 1428
Abstract
Antimicrobial resistance (AMR) surveillance in fecal Escherichia coli isolates from wildlife is crucial for monitoring the spread of this microorganism in the environment and for developing effective AMR control strategies. Wildlife can act as carriers of AMR bacteria and spread them to other [...] Read more.
Antimicrobial resistance (AMR) surveillance in fecal Escherichia coli isolates from wildlife is crucial for monitoring the spread of this microorganism in the environment and for developing effective AMR control strategies. Wildlife can act as carriers of AMR bacteria and spread them to other wildlife, domestic animals, and humans; thus, they have public health implications. A total of 128 Escherichia coli isolates were obtained from 66 of 217 fecal samples obtained from different wild animals using media without antibiotic supplementation. Antibiograms were performed for 17 antibiotics to determine the phenotypic resistance profile in these isolates. Extended-spectrum β-lactamase (ESBL) production was tested using the double-disc synergy test, and 29 E. coli strains were selected for whole genome sequencing. In total, 22.1% of the wild animals tested carried multidrug-resistant E. coli isolates, and 0.93% (2/217) of these wild animals carried E. coli isolates with ESBL-encoding genes (blaCTX-M-65, blaCTX-M-55, and blaEC-1982). The E. coli isolates showed the highest resistance rates to ampicillin and were fully susceptible to amikacin, meropenem, ertapenem, and imipenem. Multiple resistance and virulence genes were detected, as well as different plasmids. The relatively high frequency of multidrug-resistant E. coli isolates in wildlife, with some of them being ESBL producers, raises some concern regarding the potential transmission of antibiotic-resistant bacteria among these animals. Gaining insights into antibiotic resistance patterns in wildlife can be vital in shaping conservation initiatives and developing effective strategies for responsible antibiotic use. Full article
(This article belongs to the Section Veterinary Microbiology, Parasitology and Immunology)
Show Figures

Figure 1

Figure 1
<p><b>A map of Portugal showing the area of study (six districts) and the numbers and different species of animals sampled.</b> The districts are not in scale.</p>
Full article ">Figure 2
<p><b>Percentage of antibiotic resistance in collection of 128 <span class="html-italic">E. coli</span> isolates.</b> IMI—imipenem; ERT—ertapenem; MEM—meropenem; AMI—amikacin; CAZ—ceftazidime; FOX—cefoxitin; FEP—cefepime; ATM—aztreonam; CTX—cefotaxime; GEN—gentamicin; CHL—chloramphenicol; CIP—ciprofloxacin; AUG—amoxicillin–clavulanic acid; NAL—nalidixic acid; TET—tetracycline; SXT—trimethoprim–sulfamethoxazole; AMP—ampicillin.</p>
Full article ">Figure 3
<p><b>A pangenome tree based on the core genes’ alignment representation of the genomes of 29 selected <span class="html-italic">E. coli</span> isolates.</b> The presence of resistance genes, resistance phenotypes, and virulence genes is represented by colored circles, and white circles represent their absence. The final column represents the MLST of each isolate. More information on virulence genes is presented in <a href="#app1-vetsci-11-00469" class="html-app">Supplementary File S2</a>.</p>
Full article ">
49 pages, 5210 KiB  
Review
Agricultural Pest Management: The Role of Microorganisms in Biopesticides and Soil Bioremediation
by Alane Beatriz Vermelho, Jean Vinícius Moreira, Ingrid Teixeira Akamine, Veronica S. Cardoso and Felipe R. P. Mansoldo
Plants 2024, 13(19), 2762; https://doi.org/10.3390/plants13192762 - 1 Oct 2024
Cited by 3 | Viewed by 5007
Abstract
Pesticide use in crops is a severe problem in some countries. Each country has its legislation for use, but they differ in the degree of tolerance for these broadly toxic products. Several synthetic pesticides can cause air, soil, and water pollution, contaminating the [...] Read more.
Pesticide use in crops is a severe problem in some countries. Each country has its legislation for use, but they differ in the degree of tolerance for these broadly toxic products. Several synthetic pesticides can cause air, soil, and water pollution, contaminating the human food chain and other living beings. In addition, some of them can accumulate in the environment for an indeterminate amount of time. The agriculture sector must guarantee healthy food with sustainable production using environmentally friendly methods. In this context, biological biopesticides from microbes and plants are a growing green solution for this segment. Several pests attack crops worldwide, including weeds, insects, nematodes, and microorganisms such as fungi, bacteria, and viruses, causing diseases and economic losses. The use of bioproducts from microorganisms, such as microbial biopesticides (MBPs) or microorganisms alone, is a practice and is growing due to the intense research in the world. Mainly, bacteria, fungi, and baculoviruses have been used as sources of biomolecules and secondary metabolites for biopesticide use. Different methods, such as direct soil application, spraying techniques with microorganisms, endotherapy, and seed treatment, are used. Adjuvants like surfactants, protective agents, and carriers improve the system in different formulations. In addition, microorganisms are a tool for the bioremediation of pesticides in the environment. This review summarizes these topics, focusing on the biopesticides of microbial origin. Full article
(This article belongs to the Special Issue Emerging Topics in Botanical Biopesticides—2nd Edition)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Pesticide classification.</p>
Full article ">Figure 2
<p>Data obtained from Ref. [<a href="#B126-plants-13-02762" class="html-bibr">126</a>], re-processed in an R environment using the taxizedb [<a href="#B127-plants-13-02762" class="html-bibr">127</a>] and ComplexHeatmap [<a href="#B128-plants-13-02762" class="html-bibr">128</a>] packages. (<b>A</b>) Heatmap of occurrences between the genres of antagonists (row) and targets (column); (<b>B</b>) pie chart of the sum of the antagonist microorganism phyla.</p>
Full article ">Figure 3
<p>Scheme of the toxicity potential of Bt δ-endotoxins against different organisms.</p>
Full article ">Figure 4
<p>Pesticide cycle in the environment.</p>
Full article ">
34 pages, 7940 KiB  
Article
Hydrogen Production from Sugarcane Bagasse Pentose Liquor Fermentation Using Different Food/Microorganism and Carbon/Nitrogen Ratios under Mesophilic and Thermophilic Conditions
by Luísa Mattiello-Francisco, Filipe Vasconcelos Ferreira, Guilherme Peixoto, Gustavo Mockaitis and Marcelo Zaiat
Fermentation 2024, 10(8), 432; https://doi.org/10.3390/fermentation10080432 - 18 Aug 2024
Cited by 1 | Viewed by 1719
Abstract
Hydrogen is a well-known clean energy carrier with a high energetic yield. Its versatility allows it to be produced in diverse ways, including biologically. Specifically, dark fermentation takes advantage of organic wastes, such as agro-industrial residues, to obtain hydrogen. One of these harmful [...] Read more.
Hydrogen is a well-known clean energy carrier with a high energetic yield. Its versatility allows it to be produced in diverse ways, including biologically. Specifically, dark fermentation takes advantage of organic wastes, such as agro-industrial residues, to obtain hydrogen. One of these harmful wastes that is poorly discharged into streams is sugarcane bagasse pentose liquor (SBPL). The present study aimed to investigate hydrogen generation from SBPL fermentation in batch reactors by applying different food/microorganism (2–10 F/M) and carbon/nitrogen (10–200 C/N) ratios under mesophilic and thermophilic conditions. Biohydrogen was produced in all pentose liquor experiments along with other soluble microbial products (SMPs): volatile fatty acids (VFAs) (at least 1.38 g L−1 and 1.84 g L−1 by the average of C/N and F/M conditions, respectively) and alcohols (at least 0.67 g L−1 and 0.325 g L−1 by the average of C/N and F/M conditions, respectively). Thermophilic pentose liquor reactors (t-PLRs) showed the highest H2 production (H2 maximum: 1.9 ± 0.06 L in 100 C/N) and hydrogen yield (HY) (1.9 ± 0.54 moles of H2 moles of substrate−1 in 2 F/M) when compared to mesophilic ones (m-PLRs). The main VFA produced was acetate (>0.85 g L−1, considering the average of both nutritional conditions), especially through the butyrate pathway, which was the most common metabolic route of experimental essays. Considering the level of acid dilution used in the pretreatment of bagasse (H2SO4 (1%), 1.1 atm, 120 °C, 60 min), it is unlikely that toxic compounds such as furan derivatives, phenol-like substances (neither was measured), and acetate (<1.0 g L−1) hinder the H2 production in the pentose liquor reactors (PLRs). Sugarcane bagasse pentose liquor fermentation may become a suitable gateway to convert a highly polluting waste into a renewable feedstock through valuable hydrogen production. Full article
(This article belongs to the Special Issue Fermentative Biohydrogen Production)
Show Figures

Figure 1

Figure 1
<p>Biogas production at both temperatures (30 and 55 °C). Letters indicate specific F/M or C/N ratio: FMI (<b>A1</b>,<b>A2</b>); FMII (<b>B1</b>,<b>B2</b>); FMIII (<b>C1</b>,<b>C2</b>); FMIV (<b>D1</b>,<b>D2</b>); CNI (<b>E1</b>,<b>E2</b>); CNII (<b>F1</b>,<b>F2</b>); CNIII (<b>G1</b>,<b>G2</b>); CNIV (<b>H1</b>,<b>H2</b>). Numbers stand for different reactor types: xylose (<b>1</b>) and pentose liquor (<b>2</b>). The mesophilic temperature (30 °C) is depicted in blue and the thermophilic temperature (55 °C) in red.</p>
Full article ">Figure 1 Cont.
<p>Biogas production at both temperatures (30 and 55 °C). Letters indicate specific F/M or C/N ratio: FMI (<b>A1</b>,<b>A2</b>); FMII (<b>B1</b>,<b>B2</b>); FMIII (<b>C1</b>,<b>C2</b>); FMIV (<b>D1</b>,<b>D2</b>); CNI (<b>E1</b>,<b>E2</b>); CNII (<b>F1</b>,<b>F2</b>); CNIII (<b>G1</b>,<b>G2</b>); CNIV (<b>H1</b>,<b>H2</b>). Numbers stand for different reactor types: xylose (<b>1</b>) and pentose liquor (<b>2</b>). The mesophilic temperature (30 °C) is depicted in blue and the thermophilic temperature (55 °C) in red.</p>
Full article ">Figure 2
<p>Soluble microbial production at both temperatures (30 and 55 °C). Letters indicate specific F/M or C/N ratio: FMI (<b>A1</b>,<b>A2</b>); FMII (<b>B1</b>,<b>B2</b>); FMIII (<b>C1</b>,<b>C2</b>); FMIV (<b>D1</b>,<b>D2</b>); CNI (<b>E1</b>,<b>E2</b>); CNII (<b>F1</b>,<b>F2</b>); CNIII (<b>G1</b>,<b>G2</b>); and CNIV (<b>H1</b>,<b>H2</b>). Numbers correspond to reactor types: xylose (<b>1</b>) and pentose liquor (<b>2</b>). Geometric forms are in blue and the mesophilic (30 °C) and thermophilic (55 °C) temperatures are in red, respectively. Hci: citric acid; Hm: malic acid; Hsu: succinic acid; Hla: lactic acid; Hf: formic acid; Hac: acetic acid; Hpr: propionic acid; Hib: isobutyric acid; Hbu: butyric acid; Hiv: isovaleric acid; Hv: valeric acid; Hca: caproic acid; MeOH: methanol; EtOH: ethanol.</p>
Full article ">Figure 2 Cont.
<p>Soluble microbial production at both temperatures (30 and 55 °C). Letters indicate specific F/M or C/N ratio: FMI (<b>A1</b>,<b>A2</b>); FMII (<b>B1</b>,<b>B2</b>); FMIII (<b>C1</b>,<b>C2</b>); FMIV (<b>D1</b>,<b>D2</b>); CNI (<b>E1</b>,<b>E2</b>); CNII (<b>F1</b>,<b>F2</b>); CNIII (<b>G1</b>,<b>G2</b>); and CNIV (<b>H1</b>,<b>H2</b>). Numbers correspond to reactor types: xylose (<b>1</b>) and pentose liquor (<b>2</b>). Geometric forms are in blue and the mesophilic (30 °C) and thermophilic (55 °C) temperatures are in red, respectively. Hci: citric acid; Hm: malic acid; Hsu: succinic acid; Hla: lactic acid; Hf: formic acid; Hac: acetic acid; Hpr: propionic acid; Hib: isobutyric acid; Hbu: butyric acid; Hiv: isovaleric acid; Hv: valeric acid; Hca: caproic acid; MeOH: methanol; EtOH: ethanol.</p>
Full article ">Figure 2 Cont.
<p>Soluble microbial production at both temperatures (30 and 55 °C). Letters indicate specific F/M or C/N ratio: FMI (<b>A1</b>,<b>A2</b>); FMII (<b>B1</b>,<b>B2</b>); FMIII (<b>C1</b>,<b>C2</b>); FMIV (<b>D1</b>,<b>D2</b>); CNI (<b>E1</b>,<b>E2</b>); CNII (<b>F1</b>,<b>F2</b>); CNIII (<b>G1</b>,<b>G2</b>); and CNIV (<b>H1</b>,<b>H2</b>). Numbers correspond to reactor types: xylose (<b>1</b>) and pentose liquor (<b>2</b>). Geometric forms are in blue and the mesophilic (30 °C) and thermophilic (55 °C) temperatures are in red, respectively. Hci: citric acid; Hm: malic acid; Hsu: succinic acid; Hla: lactic acid; Hf: formic acid; Hac: acetic acid; Hpr: propionic acid; Hib: isobutyric acid; Hbu: butyric acid; Hiv: isovaleric acid; Hv: valeric acid; Hca: caproic acid; MeOH: methanol; EtOH: ethanol.</p>
Full article ">Figure 3
<p>Xylose and fructose degradation at both temperatures (30 and 55 °C). Letters located above each graph indicate specific F/M or C/N ratio: FMI (<b>A1</b>,<b>A2</b>); FMII (<b>B1</b>,<b>B2</b>); FMIII (<b>C1</b>,<b>C2</b>); FMIV (<b>D1</b>,<b>D2</b>); CNI (<b>E1</b>,<b>E2</b>); CNII (<b>F1</b>,<b>F2</b>); CNIII (<b>G1</b>,<b>G2</b>); CNIV (<b>H1</b>,<b>H2</b>). Numbers match reactor types: xylose (<b>1</b>) and pentose liquor (<b>2</b>). Acronyms such as “fx”, “fl”, “x” and “l” correspond to fructose from xylose reactor, fructose from pentose liquor reactor, xylose from xylose reactor and xylose from pentose liquor reactor, respectively. White and blue depict mesophilic temperature (30 °C); black and red represent thermophilic (55 °C) temperature.</p>
Full article ">Figure 3 Cont.
<p>Xylose and fructose degradation at both temperatures (30 and 55 °C). Letters located above each graph indicate specific F/M or C/N ratio: FMI (<b>A1</b>,<b>A2</b>); FMII (<b>B1</b>,<b>B2</b>); FMIII (<b>C1</b>,<b>C2</b>); FMIV (<b>D1</b>,<b>D2</b>); CNI (<b>E1</b>,<b>E2</b>); CNII (<b>F1</b>,<b>F2</b>); CNIII (<b>G1</b>,<b>G2</b>); CNIV (<b>H1</b>,<b>H2</b>). Numbers match reactor types: xylose (<b>1</b>) and pentose liquor (<b>2</b>). Acronyms such as “fx”, “fl”, “x” and “l” correspond to fructose from xylose reactor, fructose from pentose liquor reactor, xylose from xylose reactor and xylose from pentose liquor reactor, respectively. White and blue depict mesophilic temperature (30 °C); black and red represent thermophilic (55 °C) temperature.</p>
Full article ">Figure 3 Cont.
<p>Xylose and fructose degradation at both temperatures (30 and 55 °C). Letters located above each graph indicate specific F/M or C/N ratio: FMI (<b>A1</b>,<b>A2</b>); FMII (<b>B1</b>,<b>B2</b>); FMIII (<b>C1</b>,<b>C2</b>); FMIV (<b>D1</b>,<b>D2</b>); CNI (<b>E1</b>,<b>E2</b>); CNII (<b>F1</b>,<b>F2</b>); CNIII (<b>G1</b>,<b>G2</b>); CNIV (<b>H1</b>,<b>H2</b>). Numbers match reactor types: xylose (<b>1</b>) and pentose liquor (<b>2</b>). Acronyms such as “fx”, “fl”, “x” and “l” correspond to fructose from xylose reactor, fructose from pentose liquor reactor, xylose from xylose reactor and xylose from pentose liquor reactor, respectively. White and blue depict mesophilic temperature (30 °C); black and red represent thermophilic (55 °C) temperature.</p>
Full article ">Figure 3 Cont.
<p>Xylose and fructose degradation at both temperatures (30 and 55 °C). Letters located above each graph indicate specific F/M or C/N ratio: FMI (<b>A1</b>,<b>A2</b>); FMII (<b>B1</b>,<b>B2</b>); FMIII (<b>C1</b>,<b>C2</b>); FMIV (<b>D1</b>,<b>D2</b>); CNI (<b>E1</b>,<b>E2</b>); CNII (<b>F1</b>,<b>F2</b>); CNIII (<b>G1</b>,<b>G2</b>); CNIV (<b>H1</b>,<b>H2</b>). Numbers match reactor types: xylose (<b>1</b>) and pentose liquor (<b>2</b>). Acronyms such as “fx”, “fl”, “x” and “l” correspond to fructose from xylose reactor, fructose from pentose liquor reactor, xylose from xylose reactor and xylose from pentose liquor reactor, respectively. White and blue depict mesophilic temperature (30 °C); black and red represent thermophilic (55 °C) temperature.</p>
Full article ">Figure 3 Cont.
<p>Xylose and fructose degradation at both temperatures (30 and 55 °C). Letters located above each graph indicate specific F/M or C/N ratio: FMI (<b>A1</b>,<b>A2</b>); FMII (<b>B1</b>,<b>B2</b>); FMIII (<b>C1</b>,<b>C2</b>); FMIV (<b>D1</b>,<b>D2</b>); CNI (<b>E1</b>,<b>E2</b>); CNII (<b>F1</b>,<b>F2</b>); CNIII (<b>G1</b>,<b>G2</b>); CNIV (<b>H1</b>,<b>H2</b>). Numbers match reactor types: xylose (<b>1</b>) and pentose liquor (<b>2</b>). Acronyms such as “fx”, “fl”, “x” and “l” correspond to fructose from xylose reactor, fructose from pentose liquor reactor, xylose from xylose reactor and xylose from pentose liquor reactor, respectively. White and blue depict mesophilic temperature (30 °C); black and red represent thermophilic (55 °C) temperature.</p>
Full article ">Figure 3 Cont.
<p>Xylose and fructose degradation at both temperatures (30 and 55 °C). Letters located above each graph indicate specific F/M or C/N ratio: FMI (<b>A1</b>,<b>A2</b>); FMII (<b>B1</b>,<b>B2</b>); FMIII (<b>C1</b>,<b>C2</b>); FMIV (<b>D1</b>,<b>D2</b>); CNI (<b>E1</b>,<b>E2</b>); CNII (<b>F1</b>,<b>F2</b>); CNIII (<b>G1</b>,<b>G2</b>); CNIV (<b>H1</b>,<b>H2</b>). Numbers match reactor types: xylose (<b>1</b>) and pentose liquor (<b>2</b>). Acronyms such as “fx”, “fl”, “x” and “l” correspond to fructose from xylose reactor, fructose from pentose liquor reactor, xylose from xylose reactor and xylose from pentose liquor reactor, respectively. White and blue depict mesophilic temperature (30 °C); black and red represent thermophilic (55 °C) temperature.</p>
Full article ">
20 pages, 1173 KiB  
Article
Analysis of Multi-Biofuel Production during Cultivation of the Green Microalga Tetraselmis subscordiformis
by Marcin Dębowski, Magda Dudek, Joanna Kazimierowicz, Piera Quattrocelli, Paulina Rusanowska, Łukasz Barczak, Anna Nowicka and Marcin Zieliński
Energies 2024, 17(15), 3670; https://doi.org/10.3390/en17153670 - 25 Jul 2024
Cited by 1 | Viewed by 736
Abstract
Research to date has mainly focused on the properties and efficiency of the production of selected, individual types of biofuels from microalgae biomass. There are not enough studies investigating the efficiency of the production of all energy sources synthesised by these microorganisms in [...] Read more.
Research to date has mainly focused on the properties and efficiency of the production of selected, individual types of biofuels from microalgae biomass. There are not enough studies investigating the efficiency of the production of all energy sources synthesised by these microorganisms in a single technological cycle. The aim of this research was to determine the possibilities and efficiency of the production of hydrogen, bio-oil, and methane in the continuous cycle of processing T. subcordiformis microalgae biomass. This study showed it was feasible to produce these three energy carriers, but the production protocol adopted was not necessarily valuable from the energy gain standpoint. The production of bio-oil was found to be the least viable process, as bio-oil energy value was only 1.3 kWh/MgTS. The most valuable single process for microalgae biomass conversion turned out to be methane fermentation. The highest specific gross energy gain was found after applying a protocol combining biomass production, hydrogen biosynthesis, and subsequent methane production from T. subcordiformis biomass, which yielded a total value of 1891.4 kWh/MgTS. The direct methane fermentation of T. subcordiformis biomass enabled energy production at 1769.8 kWh/MgTS. Full article
(This article belongs to the Special Issue Recent Advances in Biofuel Production from Microalgae Biomass)
Show Figures

Figure 1

Figure 1
<p>Organisational diagram of the experimental works.</p>
Full article ">Figure 2
<p>Production of T. subcordiformis biomass during incubation in a photobioreactor (<b>a</b>) and biomass production rate in the exponential growth phase (<b>b</b>).</p>
Full article ">Figure 3
<p>Changes in TN and TP concentration in the culture medium (<b>a</b>) and the efficiency of TN and TP removal (<b>b</b>).</p>
Full article ">Figure 4
<p>H<sub>2</sub> production (<b>a</b>), production of gaseous metabolites of the biomass of <span class="html-italic">T. subcordiformis</span> (<b>b</b>) and gas components in S2 (<b>c</b>).</p>
Full article ">Figure 5
<p>Biomethane production in S4 (<b>a</b>), S5 (<b>b</b>), and S6 (<b>c</b>), and CH<sub>4</sub> concentration in S4–S6 series (<b>d</b>).</p>
Full article ">
17 pages, 2707 KiB  
Review
Exploring the Role of the Microbiome in Rheumatoid Arthritis—A Critical Review
by Plamena Ermencheva, Georgi Kotov, Russka Shumnalieva, Tsvetelina Velikova and Simeon Monov
Microorganisms 2024, 12(7), 1387; https://doi.org/10.3390/microorganisms12071387 - 9 Jul 2024
Viewed by 2629
Abstract
Rheumatoid arthritis (RA) is a chronic, autoimmune rheumatic disease characterized by synovial joint inflammation with subsequent destruction as well as systemic manifestation, leading to impaired mobility and impaired quality of life. The etiopathogenesis of RA is still unknown, with genetic, epigenetic and environmental [...] Read more.
Rheumatoid arthritis (RA) is a chronic, autoimmune rheumatic disease characterized by synovial joint inflammation with subsequent destruction as well as systemic manifestation, leading to impaired mobility and impaired quality of life. The etiopathogenesis of RA is still unknown, with genetic, epigenetic and environmental factors (incl. tobacco smoking) contributing to disease susceptibility. The link between genetic factors like “shared epitope alleles” and the development of RA is well known. However, why only some carriers have a break in self-tolerance and develop autoimmunity still needs to be clarified. The presence of autoantibodies in patients’ serum months to years prior to the onset of clinical manifestations of RA has moved the focus to possible epigenetic factors, including environmental triggers that could contribute to the initiation and perpetuation of the inflammatory reaction in RA. Over the past several years, the role of microorganisms at mucosal sites (i.e., microbiome) has emerged as an essential mediator of inflammation in RA. An increasing number of studies have revealed the microbial role in the immunopathogenesis of autoimmune rheumatic diseases. Interaction between the host immune system and microbiota initiates loss of immunological tolerance and autoimmunity. The alteration in microbiome composition, the so-called dysbiosis, is associated with an increasing number of diseases. Immune dysfunction caused by dysbiosis triggers and sustains chronic inflammation. This review aims to provide a critical summary of the literature findings related to the hypothesis of a reciprocal relation between the microbiome and the immune system. Available data from studies reveal the pivotal role of the microbiome in RA pathogenesis. Full article
(This article belongs to the Section Gut Microbiota)
Show Figures

Figure 1

Figure 1
<p>Role of microbiota in rheumatoid arthritis pathogenesis. Invading bacteria can trigger inflammatory (innate immune cell activation, cytokine production, etc.) and autoimmune responses (activation of auto-reactive immune cells, autoantibody production, migration of autoreactive cells to the joints, etc.). Therapy relieves disease symptoms but also improves gut microbiota imbalance. Parts of the figure were drawn by using pictures from Servier Medical Art. Servier Medical Art by Servier is licensed under a Creative Commons BY 4.0 (<a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a>, accessed on 5 July 2024).</p>
Full article ">
Back to TopTop