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Search Results (340)

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13 pages, 2084 KiB  
Article
Methane Production, Microbial Community, and Volatile Fatty Acids Profiling During Anaerobic Digestion Under Different Organic Loading
by Paulina Rusanowska, Marcin Zieliński, Marta Kisielewska, Magda Dudek, Łukasz Paukszto and Marcin Dębowski
Energies 2025, 18(3), 575; https://doi.org/10.3390/en18030575 - 25 Jan 2025
Viewed by 443
Abstract
The organic loading rate (OLR) is a crucial parameter in the anaerobic digestion of lignocellulosic biomass. Optimizing the OLR ensures a balanced substrate release for gradual hydrolysis, thereby preventing the accumulation of inhibitors that can disrupt methanogenesis. Its significance lies in its direct [...] Read more.
The organic loading rate (OLR) is a crucial parameter in the anaerobic digestion of lignocellulosic biomass. Optimizing the OLR ensures a balanced substrate release for gradual hydrolysis, thereby preventing the accumulation of inhibitors that can disrupt methanogenesis. Its significance lies in its direct impact on the stability, efficiency, and overall performance of the digestion process. This study investigated the long-term anaerobic co-digestion of lignocellulosic biomass (Sida hermaphrodita) and cattle manure under varying organic loading rates (S1: 2 kgVS/m3·d, S2: 3 kgVS/m3·d, and S3: 4 kgVS/m3·d). Methane production, microbial community dynamics, and volatile fatty acid (VFA) profiles were analyzed. During S1 and S2, methane production was stable, achieving 446.3 ± 153.7 NL/kgVS and 773.4 ± 107.8 NL/kgVS, respectively. However, at S3, methane production declined, accompanied by a pH drop from 7.68 to 6.11, an increase in the FOS/TAC ratio from 0.272 to 0.35, and the accumulation of acetic and propionic acids at the end of the digestion cycle. Microbial analysis revealed that the abundance of Firmicutes increased with higher OLRs, reaching 93.6% in S3, while the Bacteroidota abundance decreased, reaching 3.0% in S3. During S1, methane production occurred through both acetoclastic and hydrogenotrophic pathways. Full article
(This article belongs to the Section A4: Bio-Energy)
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<p>Biogas production (<b>A</b>) and pH and FOS/TAC ratio (<b>B</b>) in the sludge during anaerobic digestion operated at 2 kg VS/(m<sup>3</sup>·d), 3 kg VS/(m<sup>3</sup>·d), and 4 kg VS/(m<sup>3</sup>·d). The data present the average of three replicates of daily measurements.</p>
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<p>The concentration of VFAs during 24 h of digester operation in S1 (2 kg VS/(m<sup>3</sup>·d)) (<b>A</b>), S2 (3 kg VS/(m<sup>3</sup>·d)) (<b>B</b>), and S3 (4 kg VS/(m<sup>3</sup>·d)) (<b>C</b>) measured by GC-FID. The data present the average of three replicates of daily measurements.</p>
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<p>The concentration of VFAs during 24 h of digester operation in S1 (2 kg VS/(m<sup>3</sup>·d)) (<b>A</b>), S2 (3 kg VS/(m<sup>3</sup>·d)) (<b>B</b>), and S3 (4 kg VS/(m<sup>3</sup>·d)) (<b>C</b>) measured by GC-FID. The data present the average of three replicates of daily measurements.</p>
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<p>The Shannon and Simpson indices in the samples collected at the end of S1, S2, and S3.</p>
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<p>The relative abundance of phylum in the sludge samples collected from S1, S2, and S3.</p>
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<p>The relative abundance of genus in the sludge samples collected from S1, S2 and S3.</p>
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21 pages, 4519 KiB  
Article
Impact of Polystyrene Microplastics on Soil Properties, Microbial Diversity and Solanum lycopersicum L. Growth in Meadow Soils
by Shuming Liu, Yan Suo, Jinghuizi Wang, Binglin Chen, Kaili Wang, Xiaoyu Yang, Yaokun Zhu, Jiaxing Zhang, Mengchu Lu and Yunqing Liu
Plants 2025, 14(2), 256; https://doi.org/10.3390/plants14020256 - 17 Jan 2025
Viewed by 514
Abstract
The pervasive presence of microplastics (MPs) in agroecosystems poses a significant threat to soil health and plant growth. This study investigates the effects of varying concentrations and sizes of polystyrene microplastics (PS-MPs) on the Solanum lycopersicum L.’s height, dry weight, antioxidant enzyme activities, [...] Read more.
The pervasive presence of microplastics (MPs) in agroecosystems poses a significant threat to soil health and plant growth. This study investigates the effects of varying concentrations and sizes of polystyrene microplastics (PS-MPs) on the Solanum lycopersicum L.’s height, dry weight, antioxidant enzyme activities, soil physicochemical properties, and rhizosphere microbial communities. The results showed that the PS0510 treatment significantly increased plant height (93.70 cm, +40.83%) and dry weight (2.98 g, +100%). Additionally, antioxidant enzyme activities improved across treatments for S. lycopersicum L. roots. Physicochemical analyses revealed enhanced soil organic matter and nutrient levels, including ammonium nitrogen, phosphorus, and effective potassium. Using 16S rRNA sequencing and molecular ecological network techniques, we found that PS-MPs altered the structure and function of the rhizosphere microbial community associated with S. lycopersicum L. The PS1005 treatment notably increased microbial diversity and displayed the most complex ecological network, while PS1010 led to reduced network complexity and more negative interactions. Linear discriminant analysis effect size (LEfSe) analysis identified biomarkers at various taxonomic levels, reflecting the impact of PS-MPs on microbial community structure. Mantel tests indicated positive correlations between microbial diversity and soil antioxidant enzyme activity, as well as relationships between soil physicochemical properties and enzyme activity. Predictions of gene function revealed that PS-MP treatments modified carbon and nitrogen cycling pathways, with PS1005 enhancing methanogenesis genes (mcrABG) and PS1010 negatively affecting denitrification genes (nirK, nirS). This study provides evidence of the complex effects of PS-MPs on soil health and agroecosystem functioning, highlighting their potential to alter soil properties and microbial communities, thereby affecting plant growth. Full article
(This article belongs to the Section Plant–Soil Interactions)
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<p>Impact of PS-MPs on growth and antioxidant enzyme activities in <span class="html-italic">S. lycopersicum</span> L.: (<b>a</b>) plant height; (<b>b</b>) dry weight; (<b>c</b>) SOD; (<b>d</b>) POD; (<b>e</b>) CAT. Different lowercase letters indicate significant differences, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Physicochemical of soil: (<b>a</b>) organic matter; (<b>b</b>) NH<sub>4</sub>-N concentration; (<b>c</b>) NO<sub>3</sub>-N concentration; (<b>d</b>) P concentration; (<b>e</b>) available P; (<b>f</b>) available K; (<b>g</b>) pH value. Different lowercase letters indicate significant differences, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Biochemical of soil (<b>a</b>) S-SOD; (<b>b</b>) S-POD; (<b>c</b>) S-CAT. Different lowercase letters indicate significant differences, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Diversity and composition of rhizosphere soil bacterial community in <span class="html-italic">S. lycopersicum</span> L: (<b>a</b>) Simpson Index; (<b>b</b>) Shannon Index; (<b>c</b>) Venn diagram; (<b>d</b>) PCoA; (<b>e</b>) the abundance of microorganisms at the genus level in a Circos diagram. “*” represent significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Linear discriminant analysis effect size (LEfSe): (<b>a</b>) diagram depicting the evolutionary branching; (<b>b</b>) histogram displaying the distribution.</p>
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<p>Co-occurrence Networks analysis: (<b>a</b>) CK; (<b>b</b>) PS0505; (<b>c</b>) PS0510; (<b>d</b>) PS1005; (<b>e</b>) PS1010.</p>
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<p>Correlation analysis of bacterial communities, plant growth, enzyme activities and the physicochemical and biochemical properties of soil: (<b>a</b>) Mantel’s test investigated the correlation between the genus level bacteria and the indices of Shannon, Simpson, Chao1, and ACE; (<b>b</b>) VPA analysis; (<b>c</b>) Pearson correlations of genus, soil physicochemical, and biochemical properties. “*”, “**” and “***” represent significant differences (<span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">p</span> &lt; 0.01 and <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>PLS-PM showing the direct and indirect effects of adding PS-MPs to the soil–microbe–plant system. The width of arrows is proportional to the strength of the pathway coefficients. Red and blue arrows indicate positive and negative causality, respectively, with solid lines representing significant effects (<span class="html-italic">p</span> &lt; 0.05), and dashed lines representing non-significant effects (<span class="html-italic">p</span> &gt; 0.05). “*” indicates <span class="html-italic">p</span> &lt; 0.05; “***” indicates <span class="html-italic">p</span> &lt; 0.001. (<b>a</b>) PLS-PM; (<b>b</b>) Effect of direct, indirect and total. Soil physicochemical effects included NH<sub>4</sub>-N, P, AK, SOM, and pH; soil enzymes included S-SOD, S-POD, and S-CAT; microbial effects included the Simpson Index and Shannon Index; plant effects included SOD, POD, CAT, Height, and Dry weight.</p>
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<p>Relative abundance of the pathways involved in the C and N cycle. (<b>a</b>) C cycle; (<b>b</b>) N cycle. The pie chart illustrates the proportional representation of various pathways within each metagenomic sample. The dimensions of the pie charts reflect the overall relative abundance of each pathway.</p>
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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 928
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
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<p>Synthetic 2D homogeneous model representing the saline aquifer studied in this paper (grid top map in meters).</p>
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<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>
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<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>
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<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>
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<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>
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<p>Cumulative volume of available H<sub>2</sub> in m<sup>3</sup> in the reservoir over 9 years.</p>
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<p>Cumulative volume of H<sub>2</sub>S generated in m<sup>3</sup> in the reservoir over 9 years.</p>
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<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>
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<p>Cumulative produced H<sub>2</sub>S in m<sup>3</sup>.</p>
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<p>Cumulative produced volume of H<sub>2</sub> in m<sup>3</sup> over time.</p>
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<p>Cumulative hydrogen production (in kg) for different cases.</p>
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<p>H<sub>2</sub> volume (in m<sup>3</sup>) in the reservoir with methanation process.</p>
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<p>Hydrogen cumulative production (in kg) with the prolonged producing operation for Case H and base case.</p>
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<p>The minimum and maximum impurity levels for the different gases within UHS.</p>
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<p>Water saturation at the same time point for the base case (on <b>top</b>) and Case H (on <b>bottom</b>).</p>
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<p>Volume of water (in m<sup>3</sup>) in the aquifer for the base case and Case H.</p>
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<p>Cumulative water production (in m<sup>3</sup>) for 2 different cases.</p>
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<p>Average reservoir pressure (in kPa) for 2 different cases.</p>
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<p>H<sub>2</sub> cumulative moles in the reservoir.</p>
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<p>CO<sub>2</sub> cumulative moles in the reservoir.</p>
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17 pages, 7135 KiB  
Article
Effects of Different Microplastics on Methane Production and Microbial Community Structure in Anaerobic Digestion of Cattle Manure
by Mengjiao Zhang, Congxu Zhao, Tian Yuan, Qing Wang, Qiuxian Zhang, Shuangdui Yan, Xiaohong Guo, Yanzhuan Cao and Hongyan Cheng
Agronomy 2025, 15(1), 107; https://doi.org/10.3390/agronomy15010107 - 3 Jan 2025
Viewed by 589
Abstract
Microplastics (MPs) are widely distributed in the environment, and they inevitably enter animal bodies during livestock and poultry farming, leading to their presence in livestock and poultry manure. However, there is limited research on the effects of different types of MPs on the [...] Read more.
Microplastics (MPs) are widely distributed in the environment, and they inevitably enter animal bodies during livestock and poultry farming, leading to their presence in livestock and poultry manure. However, there is limited research on the effects of different types of MPs on the anaerobic digestion (AD) performance of livestock and poultry manure. Herein, we investigated the impact of four types of MPs (polyvinyl chloride (PVC), polypropylene (PP), polyethylene (PE), and polyhydroxyalkanoate (PHA)) on AD performance using cattle manure as a substrate. Results demonstrated that the cumulative methane production in the PE group reached 5568.05 mL, exhibiting an 11.97% increase compared to the control group. Conversely, the cumulative methane production was decreased by 5.52%, 9.69%, and 14.48% in the PP, PVC, and PHA groups, respectively. Physicochemical analyses showed that MPs promoted organic matter hydrolysis on day 4 of AD, leading to the accumulation of volatile fatty acids (VFAs) in the initial stage. Specifically, the acetic acid content of PE was 44.48–92.07 mL/L higher than that of the control during the first 8 days. PE MPs also enriched microorganisms associated with methane production. The abundance of Firmicutes was enhanced by 2.89–17.57%, Methanosaeta by 8.42–12.48%, and Methanospirillum by 10.91–16.89% in comparison to the control; whereas PHA MPs decreased the abundance of Methanosaeta by 8.14–31.40%. Moreover, PHA MPs inhibited methane production by suppressing acetate kinase activity while promoting lactate dehydrogenase release from microorganisms involved in the AD process. Based on changes observed in key enzyme functional gene abundances, PHA MPs reduced acetyl-CoA carboxylase functional gene abundance, negatively affecting the acetone cleavage methanogenesis pathway. Meanwhile, PE MPs significantly increased acetate-CoA ligase abundance, thereby promoting the acetic acid methanogenesis pathway. The results provide novel insights into the influence exerted by MPs on AD performance when applied to livestock manure. Full article
(This article belongs to the Section Agricultural Biosystem and Biological Engineering)
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<p>Cumulative methane production from cattle manure at different MPs.</p>
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<p>Effects of different MP exposures on the degradation of organic compounds (<b>a</b>) SCOD, (<b>b</b>) TOC, and (<b>c</b>) ammonia nitrogen.</p>
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<p>Effects of different MP exposures on total VFAs (including acetic acid, propionic acid, isobutyric acid, butyric acid, isovaleric acid, and valeric acid).</p>
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<p>Effects of different MPs exposures on (<b>a</b>) ACK activity and (<b>b</b>) LDH release. Note: ACK, acetate kinase; LDH, lactate dehydrogenase.</p>
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<p>SEM images of MPs before and after AD.</p>
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<p>Relative abundances of (<b>a</b>) bacteria and (<b>b</b>) archaeal at phylum level; (<b>c</b>) Abundance of archaea at the Unweighted UniFrac metrics NMDS analysis; (<b>d</b>) archaeal community analysis genus level.</p>
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<p>(<b>a</b>) Spearman’s correlation between microorganisms and environmental factors. * 0.01 &lt; <span class="html-italic">p</span> ≤ 0.05, ** 0.001 &lt; <span class="html-italic">p</span> ≤ 0.01; (<b>b</b>) Heat map of relative abundance of acidification pathway and functional enzyme genes. (Relative abundance in ‰ (parts per thousand)).</p>
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14 pages, 2090 KiB  
Article
Influence of Adding Conductive Materials and Integrating Bio Electrochemical Systems on the Efficiency of Anaerobic Digestion
by Alberto Mur-Gorgas, Antonio V. García-Triviño, Raúl Mateos, Adrián Escapa and Antonio Morán
Appl. Sci. 2025, 15(1), 143; https://doi.org/10.3390/app15010143 - 27 Dec 2024
Viewed by 602
Abstract
This study explores the impact of incorporating conductive materials and bioelectrochemical systems (BES) on the efficiency of anaerobic digestion (AD) of sewage sludge. The research consists of two phases: biodegradability tests using 3D-printed polylactic acid-based conductive fillers (PLA/Carbon Black and PLA/Graphene) and semi-continuous [...] Read more.
This study explores the impact of incorporating conductive materials and bioelectrochemical systems (BES) on the efficiency of anaerobic digestion (AD) of sewage sludge. The research consists of two phases: biodegradability tests using 3D-printed polylactic acid-based conductive fillers (PLA/Carbon Black and PLA/Graphene) and semi-continuous assays integrating an external BES into the AD process. Results from biodegradability tests indicate that conductive fillers enhance around 50% methane production during the start-up phase, with microbial communities adapting over time to reduce variability in methane yields. Moreover, as the experiment progressed, the methane yields of the digesters with and without fillers became equal. Semi-continuous experiments demonstrate that BES integration improves process stability and methane production by achieving a 5–10% improvement in the amount of methane in the biogas throughout the entire operation, even under high organic loads, by facilitating diverse electron transfer pathways. The challenges of BES operation highlight the need for optimized designs to ensure scalability. Microbial analyses reveal that BES application shifts methanogenic pathways, favouring acetoclastic methanogenesis. Overall, the findings underscore the potential of conductive materials and BES to improve biogas quality and production, contributing to sustainable wastewater management and renewable energy generation. Full article
(This article belongs to the Special Issue Production, Treatment, Utilization and Future Opportunities of Biogas)
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<p>Schematic representation of the digesters, from left to right (R1, R2 and R3). R1 includes PLA fillers, R2 is an external bioelectrochemical cell and R3 is a normal digester as a control.</p>
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<p>Cumulative methane production over time in the biodegradability tests. (<b>A</b>) Cycle 1 and (<b>B</b>) Cycle 2. AD corresponds to conventional anaerobic digestion without fillers, NB to PLA/Carbon Black spherical fillers, OB to PLA/Graphene spherical fillers and BLANK is a digester without a substrate (water + inoculum) as control.</p>
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<p>Extraction results for the different digesters at the family level.</p>
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<p>Presence of acetic acid and propionic acid over time and HRT changes for the three digesters.</p>
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<p>Methane production in relation to volatile solids fed over time and HRT changes for the three digesters.</p>
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<p>The proportion of methane in the biogas leaving the digesters as a measure of biogas quality.</p>
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<p>Increase in installed power in Spain with the treatments proposed in this work. BES*: electrodes into reactor.</p>
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<p>Different families of archaea found in the extractions.</p>
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19 pages, 11809 KiB  
Article
Synergistic Promotion of Direct Interspecies Electron Transfer by Biochar and Fe₃O₄ Nanoparticles to Enhance Methanogenesis in Anaerobic Digestion of Vegetable Waste
by Hongruo Ma, Long Chen, Wei Guo, Lei Wang, Jian Zhang and Dongting Zhang
Fermentation 2024, 10(12), 656; https://doi.org/10.3390/fermentation10120656 - 18 Dec 2024
Viewed by 836
Abstract
When vegetable waste (VW) is used as a sole substrate for anaerobic digestion (AD), the rapid accumulation of volatile fatty acids (VFAs) can impede interspecies electron transfer (IET), resulting in a relatively low biogas production rate. In this study, Chinese cabbage and cabbage [...] Read more.
When vegetable waste (VW) is used as a sole substrate for anaerobic digestion (AD), the rapid accumulation of volatile fatty acids (VFAs) can impede interspecies electron transfer (IET), resulting in a relatively low biogas production rate. In this study, Chinese cabbage and cabbage were selected as the VW substrates, and four continuous stirred tank reactors (CSTRs) were employed. Different concentrations of biochar-loaded nano-Fe3O4(Fe3O4@BC) (100 mg/L, 200 mg/L, 300 mg/L) were added, and the organic loading rate (OLR) was gradually increased during the AD process. The changes in biogas production rate, VFAs, and microbial community structure in the fermentation tanks were analyzed to identify the optimal dosage of Fe3O4@BC and the maximum OLR. The results indicated that at the maximum OLR of 3.715 g (VS)/L·d, the addition of 200 mg/L of Fe3O4@BC most effectively promoted an increase in the biogas production rate and reduced the accumulation of VFAs compared to the other treatments. Under these conditions, the biogas production rate reached 0.658 L/g (VS). Furthermore, the addition of Fe3O4@BC enhanced both the diversity and abundance of bacteria and archaea. At the genus level, the abundance of Christensenellaceae_R-7_group, Sphaerochaeta, and the archaeal genus Thermovirga was notably increased. Full article
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<p>Schematic diagram of IET; the interspecies transfer process of IFT and IHT (<b>a</b>); the interspecies transfer process via conductive substances DIET (<b>b</b>).</p>
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<p>Each of the CSTR reactors used in the experiment was equipped with its own dedicated control and detection system.</p>
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<p>Research roadmap of anaerobic fermentation process.</p>
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<p>The magnetic separation effect of Fe₃O₄@BC (after completely mixing the nanoparticles with water, placing a magnet at the bottom, and allowing it to stand for 5 min to observe the effect).</p>
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<p>(<b>a</b>) XRD patterns of the Fe<sub>3</sub>O<sub>4</sub>@BC nanospheres samples; (<b>b</b>) magnetic hysteresis loops of Fe<sub>3</sub>O<sub>4</sub>@BC nanospheres samples.</p>
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<p>FT-IR spectra of Fe₃O₄@BC.</p>
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<p>SEM images of the (<b>a</b>,<b>b</b>) Fe<sub>3</sub>O<sub>4</sub>@BC; (<b>c</b>) energy dispersive spectroscopy (EDS) spectra; (<b>d</b>) EDS elemental analysis.</p>
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<p>Daily biogas production and OLR of anaerobic fermentation of vegetable waste.</p>
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<p>Cumulative total biogas production of VW in different experimental groups.</p>
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<p>(<b>a</b>) Methane content in different experimental groups; (<b>b</b>) Change rate of methane content in different experimental groups.</p>
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<p>(<b>a</b>) pH change graph in different experimental groups; (<b>b</b>) VFAs concentration graph in different experimental groups.</p>
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<p>(<b>a</b>) pH change graph in different experimental groups; (<b>b</b>) VFAs concentration graph in different experimental groups.</p>
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<p>The abundance of bacterial communities at phylum and genus levels in different experimental groups.</p>
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<p>The abundance of archaeal communities at phylum and genus levels in different experimental groups.</p>
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<p>The abundance of archaeal communities at phylum and genus levels in different experimental groups.</p>
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12 pages, 3643 KiB  
Article
The Enhancing Effect of Biochar Derived from Biogas Residues on the Anaerobic Digestion Process of Pig Manure Water
by Zhanjiang Pei, Xiao Wei, Shiguang Jin, Fengmei Shi, Jie Liu, Su Wang, Pengfei Li, Yifei Luo, Yongkang Wang, Tengfei Wang, Zenghui Ma, Yinxue Li and Yanling Yu
Fermentation 2024, 10(12), 644; https://doi.org/10.3390/fermentation10120644 - 15 Dec 2024
Viewed by 902
Abstract
Biochar-based additives can enhance the ability to produce methane during anaerobic digestion (AD), and biogas residues (BRs) are solid waste that can cause environmental pollution. Therefore, in this work, BRs were used as raw material to prepare biochar, and Fe3+ was used [...] Read more.
Biochar-based additives can enhance the ability to produce methane during anaerobic digestion (AD), and biogas residues (BRs) are solid waste that can cause environmental pollution. Therefore, in this work, BRs were used as raw material to prepare biochar, and Fe3+ was used to modify biochar for use in the AD process, generating pig manure water (PMW). The results showed that biogas residue biochar (BRB) showed good pore size and had a “honeycomb structure” on its surface. The commercially available iron–carbon composite material (Fe-C) showed the greatest cumulative methane production (CMP), the greatest removal rates of chemical oxygen demand (COD), and the greatest degradation rate of volatile fatty acids (VFAs), with the order of Fe-C > Fe3+-modified biogas residue biochar (FBRB) > BRB > control group. Fe3+ and Fe0 showed similar effects, where both could enhance the methanogenesis performance of anaerobic digestion by promoting direct interspecific electron transfer, and Fe0 was slightly more effective than Fe3+. Bacteroidotas and Firmicutes were the predominant phyla, and Clostridium_sensu_stricto_1 was the predominant genus. The addition of biochar and Fe3+ promoted the transformation of microorganisms from the conventional metabolic mode into an efficient metabolic mode. Extracellular electron transfer played a crucial role in this. Full article
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<p>Schematic diagram (<b>a</b>) and physical diagram (<b>b</b>) of intermittent flow anaerobic digestion device.</p>
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<p>N<sub>2</sub> absorption–desorption curve (<b>a</b>) and pore size distribution (<b>b</b>) of BRB.</p>
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<p>The SEM images of BRB at different magnifications.</p>
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<p>The XRD diffractogram of BRB and FBRB (<b>a</b>), and XPS spectra of FBRB (<b>b</b>).</p>
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<p>The changes in VMP and CMP during the AD process. (<b>a</b>) 48 h VMP; (<b>b</b>) 48 h CMP; (<b>c</b>) 7 d VMP and (<b>d</b>) 7 d CMP.</p>
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<p>The changes in VMP and CMP during the AD process. (<b>a</b>) 48 h VMP; (<b>b</b>) 48 h CMP; (<b>c</b>) 7 d VMP and (<b>d</b>) 7 d CMP.</p>
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<p>The COD changes of AD slurry. (<b>a</b>) COD concentrations in 48 h; (<b>b</b>) COD removal in 48 h; (<b>c</b>) COD concentrations in 7 d; and (<b>d</b>) COD removal in 7 d.</p>
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<p>The effect of BRB, FBRM and Fe-C on VFA concentration in AD slurry.</p>
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<p>The content changes of different VFA types. (<b>a</b>): control group; (<b>b</b>): BRB; (<b>c</b>): FBRB and (<b>d</b>) Fe-C.</p>
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<p>The effect of BR, BRB and FBRM on pH variation during (<b>a</b>) 48 h and (<b>b</b>) 7 d.</p>
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<p>Relative abundance of the microbial community at phylum (<b>a</b>) and genus (<b>b</b>) levels.</p>
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14 pages, 4704 KiB  
Article
Macroalgae Compound Characterizations and Their Effect on the Ruminal Microbiome in Supplemented Lambs
by Adriana Guadalupe De la Cruz Gómez, Huitzimengari Campos-García, German D. Mendoza, Juan Carlos García-López, Gregorio Álvarez-Fuentes, Pedro A. Hernández-García, José Alejandro Roque Jiménez, Oswaldo Cifuentes-Lopez, Alejandro E Relling and Héctor A. Lee-Rangel
Vet. Sci. 2024, 11(12), 653; https://doi.org/10.3390/vetsci11120653 - 14 Dec 2024
Viewed by 841
Abstract
The impact of macroalgae species on rumen function remains largely unexplored. This present study aimed to identify the biocompounds of the three types of marine macroalgae described: Macrocystis pyrifera (Brown), Ulva spp. (Lettuce), Mazzaella spp. (Red) and their effect on species-specific modulations of [...] Read more.
The impact of macroalgae species on rumen function remains largely unexplored. This present study aimed to identify the biocompounds of the three types of marine macroalgae described: Macrocystis pyrifera (Brown), Ulva spp. (Lettuce), Mazzaella spp. (Red) and their effect on species-specific modulations of the rumen microbiome. The macroalgae were characterized using GC-MS. Twelve Rambouillet lambs were randomly assigned to one of four experimental diets (n = 3 per treatment): (a) control diet (CD); (b) CD + 5 g of Red algae; (c) CD + 5 g of Brown algae; and (d) CD + 5 g of Lettuce algae. After the lambs ended their fattening phase, they donated ruminal fluid for DNA extraction and 16S rRNA gene V3 amplicon sequencing. Results: The tagged 16S rRNA amplicon sequencing and statistical analysis revealed that the dominant ruminal bacteria shared by all four sample groups belonged to phyla Firmicutes and Bacteroidota. However, the relative abundance of these bacterial groups was markedly affected by diet composition. In animals fed with macroalgae, the fibrinolytic and cellulolytic bacteria Selenomonas was found in the highest abundance. The diversity in chemical composition among macroalgae species introduces a range of bioactive compounds, particularly VOCs like anethole, beta-himachalene, and 4-ethylphenol, which demonstrate antimicrobial and fermentation-modulating properties. Full article
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<p>Chromatogram of total ion of the volatile compounds in Red algae by CG-MS: 1. 2-Methylbutane; 2. Diethyl ether; 3. 1,1-Dichloroethene; 4. Propanon-2-one; 5. Ethene, 1,2-dichloro-, (E)-; 6. 1-Propanol; 7. 2-butanol; 8. Benzene; 9. 1,2-Dichloroethane; 10. Pental-2-ol; 11. Octane; 12. Ethyl isovalerate; 13. 2-Isopropyl-3-methoxypyrazine; 14. p-menthatriene; 15. etenyl-dimethylpyrazine; 16. 3-nonenal; 17. ethyl 3-(methylthio)propanoate; 18. Limonene oxide; 19. Anethole; 20. Tetradecane; 21. Carbamothioic acid; 22. beta-Himachalene; 23. 2-methyl-1,4-naphthalenedione.</p>
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<p>Chromatogram of total ion of the volatile compounds in Lettuce algae by CG-MS: 1. Diethyl ether; 2. Ethyl isovalerate; 3. Acetilpyrazine; 4. ethenyl-dimethylpirazine; 5. 1-2-Cyclopentanedione, 3,4; 6. Methyl salicylate; 7. Nerol; 8. trans-2-Undecenal; 9. beta-ionone; 10. 1,4-Naftalenedion; 11. Clorotalonil.</p>
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<p>Chromatogram of total ion of the volatile compounds in Brown algae by CG-MS: 1. Butane; 2. Ethanol; 3. propanona-2-one; 4. Diethyl ether; 5. 1-Propanol; 6. Carbon disulfide; 7. butan-2-one; 8. Tri-chloroethane; 9. 1,2-Dichloropropane; 10. Methyl butanoate; 11. Octane; 12. 1-Heptanol; 13. Al-pha-Phellandrene; 14. Butylbenzene; 15. p-Menthatriene; 16. 4-Ethylphenol; 17. Anethole; 18. trans-2-undecenal; 19. delta-decalactone; 20. Octadecane.</p>
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<p>(<b>A</b>) Rarefaction curves of the four feeding treatments in lambs. (<b>B</b>) Box and whisker plots of three α-diversity indices (Pielou evenness, Richness, and Shannon diversity index) of bacterial communities in each treatment. Different letters above the whiskers denote significant differences between groups determined by Kruskal–Wallis tests (<span class="html-italic">p</span> &lt; 0.05). (<b>C</b>) Nonmetric multidimensional scaling (NMDS) of bacterial communities, clustering based on Bray–Curtis similarities. (<b>D</b>) Relative abundances of bacterial genera in microbial composition among lambs fed with different diets.</p>
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<p>Bacterial community composition at family (<b>A</b>) and genus (<b>B</b>) levels in the rumen of four feed treatments in lambs.</p>
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14 pages, 2061 KiB  
Article
Response of Metabolic Gene Panel to Organic Loading Stress in Propionate-Degrading Methanogenic Anaerobic Digesters
by Kris Anthony Silveira, Soraya Zahedi Diaz, Anna Calenzo, Vincent O’Flaherty and Fernando G. Fermoso
Agronomy 2024, 14(12), 2922; https://doi.org/10.3390/agronomy14122922 - 6 Dec 2024
Viewed by 726
Abstract
Propionate, a critical intermediate in anaerobic digestion, and its syntrophic removal, is sensitive to stress. To our knowledge, this study investigates for the first time the response of a metabolic gene panel to organic loading rate (OLR) stress in propionate-degrading methanogenic consortia in [...] Read more.
Propionate, a critical intermediate in anaerobic digestion, and its syntrophic removal, is sensitive to stress. To our knowledge, this study investigates for the first time the response of a metabolic gene panel to organic loading rate (OLR) stress in propionate-degrading methanogenic consortia in lab-scale upflow anaerobic sludge blanket (UASB) reactors. The experimental phases included stabilisation (1.4–2.8 g COD/L/day), electroactive enrichment, OLR shock (6 g COD/L/day), and early recovery. Quantitative PCR was used to assess the abundance of key functional genes (16SrRNA, mcrA, pilA, and hgtR). During stabilisation, ~200 mLCH₄/h was produced, the mcrA/16SrRNA ratio was 0.78–2.64, and pilA and hgtR abundances were 1.29–2.27 × 105 and 2.12–4.37 × 104 copies/gVS. Following the OLR shock, methane production ceased entirely, accompanied by a sharp decline in the mcrA/16S ratio (0.08–0.24) and significant reductions in pilA (1.43-log) and hgtR (1.34-log) abundance. Partial recovery of pilA and hgtR abundance (1.19 × 105 and 8.57 × 104) was observed in the control reactor after the early recovery phase. The results highlight the utility of mcrA, 16SrRNA, pilA, and associated ratios, as reliable indicators of OLR stress in lab-scale UASB reactors. This study advances the understanding of molecular stress responses in propionate-degrading methanogenic consortia, focusing on direct interspecies electron transfer in process stability and recovery. Full article
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<p>Bioreactor trial configuration, phases, and time points of microbial community abundance assessment using qPCR metabolic gene panel.</p>
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<p>(<b>a</b>) sCOD removal (%) and (<b>b</b>) methane production (mLCH<sub>4</sub> h<sup>−1</sup>) from three UASB reactors across four operational phases. Moving window average (n = 2) as trend line presented for each reactor. Each phase is represented distinctly; black line represents shift to Phase 2, dark blue dashed line represents shift to Phase 3, green dotted line represents shift to Phase 4. Green arrows indicate point of sampling for molecular responsive genes within enriched biomass.</p>
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<p>(<b>a</b>) Absolute abundance of a) 16SrRNA gene and (<b>b</b>) mcrA gene during steady state (day 80 and 117) and disturbed state (day 157 and 168) of reactor trial. Quantification using qPCR and concentration of gene copy expressed as number of copies per gram volatile solid biomass (n = 4; per reactor per phase).</p>
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<p>Ratio of (<b>a</b>) mcrA/16S rRNA copies and (<b>b</b>) 16S rRNA/mcrA copies represented for reactors CR, R1, and R2 at day 80, 117, 157, and 168 of reactor trial.</p>
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<p>(<b>a</b>) Absolute abundance of pilA at steady state (day 80 and 117) and disturbed state (day 157 and 168) during reactor trial. (<b>b</b>) 16S/pilA ratio to represent total bacteria and DIET-related pilA.</p>
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<p>Absolute abundance of hgtR at steady state (day 80 and 117) and disturbed state (day 157 and 168) during reactor trial. Quantification using qPCR and concentration of gene copy expressed as number of copies per gram volatile solid biomass (n = 4; per reactor per phase).</p>
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22 pages, 3313 KiB  
Article
Evaluation of Biogas Production from Anaerobic Digestion of Biopolymeric Films and Potential Environmental Implications
by Nicolò Montegiove, Roberto Petrucci, Leonardo Bacci, Giovanni Gigliotti, Debora Puglia, Luigi Torre and Daniela Pezzolla
Sustainability 2024, 16(22), 10146; https://doi.org/10.3390/su162210146 - 20 Nov 2024
Viewed by 882
Abstract
The increasing environmental pollution resulting from plastic waste and the need to reuse agro-industrial wastes as a source of discarding has led to the development of innovative biobased products. In the frame of this context, the use of neat polylactic acid (PLA) and [...] Read more.
The increasing environmental pollution resulting from plastic waste and the need to reuse agro-industrial wastes as a source of discarding has led to the development of innovative biobased products. In the frame of this context, the use of neat polylactic acid (PLA) and its blend with polybutylene succinate (PBS) with or without cellulose nanocrystals (CNCs) extracted from hemp fibers is explored here. This study aimed to assess the biogas production of different biopolymeric films. In parallel, life cycle assessment (LCA) analysis was performed on the same films, focusing on their production phase and potential end-of-life scenarios, regardless of film durability (i.e., single-use packaging) and barrier performance, to counteract possible soil health threats. Specifically, this study considered three specific systems: PLA, PLA_PBS (PLA/PBS blend 80:20 w/w), and PLA_PBS_3CNC (PLA/PBS blend + 3% CNCs) films. The assessment involved a batch anaerobic digestion (AD) process at 52 °C, using digestate obtained from the anaerobic treatment of municipal waste as the inoculum and cellulose as a reference material. The AD process was monitored over about 30 days, revealing that reactors containing cellulose showed inherent biodegradability and enhanced biogas production. On the other hand, biopolymeric films based on PLA and its blends with PBS and CNCs exhibited an inhibitory effect, likely due to their recalcitrant nature, which can limit or delay microbial activity toward biomass degradation and methanogenesis. LCA analysis was performed taking into consideration the complex environmental implications of both including biopolymers in the production of renewable energy and the use of post-composting digestate as an organic fertilizer. Remarkably, the PLA_PBS_3CNC formulation revealed slightly superior performance in terms of biodegradability and biogas production, mainly correlated to the presence of CNCs in the blend. The observed enhanced biodegradability and biogas yield, coupled with the reduced environmental impact, confirm the key role of optimized biopolymeric formulations in mitigating inhibitory effects on AD processes while maximizing, at the same time, the utilization of naturally derived energy sources. Full article
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<p>Schematic representation of the film production through extrusion and casting.</p>
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<p>Representation of a laboratory-scale anaerobic digestion reactor connected to a hydraulic gasometer. The quantification of the volume of biogas produced is obtained by measuring the volume of displaced water.</p>
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<p>Cumulative biogas production after 27-day thermophilic anaerobic digestion of the sole inoculum, inoculum and cellulose films, inoculum and PLA films, inoculum and PLA/PBS-blended films, and inoculum and PLA/PBS-blended films added with CNCs, expressed as Nm<sup>3</sup> of biogas per ton of total solids (SEM = 5.663).</p>
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<p>Biodegradation kinetics of biopolymeric films fitted to the modified Gompertz model following 27-day thermophilic anaerobic digestion expressed as biodegradation % into CO<sub>2</sub> and CH<sub>4</sub>.</p>
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<p>Comparison of the LCA score obtained for the investigated system, analyzed by means of the ReCiPe 2016 Endpoint (H) tool.</p>
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<p>Process tree and LCA score related to the film based on PLA biopolymer. Cut-off 0.50%.</p>
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<p>Process tree and LCA score related to the film based on PLA/PBS blend. Cut-off 0.50%.</p>
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<p>Process tree and LCA score related to the film based on PLA/PBS blend reinforced with CNCs. Cut-off 0.50%.</p>
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<p>Most important impact categories in the case of the investigated systems.</p>
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<p>Most important environmental burdens in the case of the investigated systems.</p>
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23 pages, 6305 KiB  
Article
The Hydration-Dependent Dynamics of Greenhouse Gas Fluxes of Epiphytic Lichens in the Permafrost-Affected Region
by Oxana V. Masyagina, Svetlana Yu. Evgrafova, Natalia M. Kovaleva, Anna E. Detsura, Elizaveta V. Porfirieva, Oleg V. Menyailo and Anastasia I. Matvienko
Forests 2024, 15(11), 1962; https://doi.org/10.3390/f15111962 - 7 Nov 2024
Viewed by 982
Abstract
Recent studies actively debate oxic methane (CH4) production processes in water and terrestrial ecosystems. This previously unknown source of CH4 on a regional and global scale has the potential to alter our understanding of climate-driving processes in vulnerable ecosystems, particularly [...] Read more.
Recent studies actively debate oxic methane (CH4) production processes in water and terrestrial ecosystems. This previously unknown source of CH4 on a regional and global scale has the potential to alter our understanding of climate-driving processes in vulnerable ecosystems, particularly high-latitude ecosystems. Thus, the main objective of this study is to use the incubation approach to explore possible greenhouse gas (GHG) fluxes by the most widely distributed species of epiphytic lichens (ELs; Evernia mesomorpha Nyl. and Bryoria simplicior (Vain.) Brodo et D. Hawksw.) in the permafrost zone of Central Siberia. We observed CH4 production by hydrated (50%–400% of thallus water content) ELs during 2 h incubation under illumination. Moreover, in agreement with other studies, we found evidence that oxic CH4 production by Els is linked to the CO2 photoassimilation process, and the EL thallus water content regulates that relationship. Although the GHG fluxes presented here were obtained under a controlled environment and are probably not representative of actual emissions in the field, more research is needed to fully comprehend ELs’ function in the C cycle. This particular research provides a solid foundation for future studies into the role of ELs in the C cycle of permafrost forest ecosystems under ongoing climate change (as non-methanogenesis processes in oxic environments). Full article
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<p>Map of site locations (A, B, C, D, and E) near Tura (64 N, 100 E; <a href="https://www.esri.com/" target="_blank">https://www.esri.com/</a>, accessed on 31 July 2024). The numbers indicate the number of the larch tree (from the first tree to the twenty-fifth tree).</p>
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<p>A wind rose from the Tura weather station, which indicates a predominantly westerly flow. Data from the entire observational period of 2013–2023 are included and were accessed at aisori.ru on 14 July 2024.</p>
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<p>Projecting cover (boxplots) of the ELs on the branches and stems of larches in the permafrost area. B, <span class="html-italic">Bryoria simplicior</span>; E, <span class="html-italic">Evernia mesomorpha</span>; T, <span class="html-italic">Tuckermannopsis sepincola</span>. The horizontal line within the box indicates median, box boundaries indicate 25th and 75th percentiles, and whiskers indicate highest and lowest values.</p>
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<p>Projecting cover (%) of ELs regarding the branch (<b>A</b>) or stem (<b>B</b>) exposure.</p>
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<p>Occurrence of ELs regarding the branch (<b>A</b>) or stem (<b>B</b>) exposure.</p>
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<p>Boxplots of day CO<sub>2</sub> and CH<sub>4</sub> fluxes by EL species (<span class="html-italic">Bryoria simplicior</span> and <span class="html-italic">Evernia mesomorpha</span>) occupying larch branches of various exposures and which were incubated in controlled photoperiod and thermal regimes. The horizontal line within the box indicates median, box boundaries indicate 25th and 75th percentiles, and whiskers indicate highest and lowest values. Negative values reflect CO<sub>2</sub> photoassimilation (or CH<sub>4</sub> consumption), and positive values reflect respiration (or CH<sub>4</sub> production). E, eastern exposure of the branches occupied by the ELs; N, northern exposure of the branches occupied by the ELs; S, southern exposure of the branches occupied by the ELs; W, western exposure of the branches occupied by the ELs. Small letters designate the differences between the SW and NE exposures within the same EL species according to the pairwise Wilcoxon test. Capital letters describe the differences between the EL species within the same branch exposure (SW or NE) according to the pairwise Wilcoxon test.</p>
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<p>Correlation (Spearman’s rank correlation coefficients) heat maps of the studied parameters of the ELs on the 1st (<b>A</b>), 2nd (<b>B</b>), and 3rd (<b>C</b>) days of the first incubation experiment. ***, <span class="html-italic">p</span> &lt; 0.001; **, <span class="html-italic">p</span> &lt; 0.05; *, <span class="html-italic">p</span> &lt; 0.5.</p>
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<p>Boxplots of the day CO<sub>2</sub> (<b>A</b>) and CH<sub>4</sub> (<b>B</b>) fluxes by hydrated (50%–400% of thallus water content) <span class="html-italic">Evernia mesomorpha</span> sampled from various larch branch exposures and incubated under controlled photoperiod and thermal regimes. The horizontal line within the box indicates median, box boundaries indicate 25th and 75th percentiles, and whiskers indicate highest and lowest values. Negative values reflect CO<sub>2</sub> photoassimilation (or CH<sub>4</sub> consumption), and positive values reflect respiration (or CH<sub>4</sub> production). The (<b>C</b>,<b>D</b>) panels display the relationships (mean values and standard errors) between the CO<sub>2</sub> and CH<sub>4</sub> production and accumulation processes in the ELs of various (50%–400%) thallus water contents as a summary of the (<b>A</b>,<b>B</b>) panels. The (<b>D</b>) panel represents the relationship between the CO<sub>2</sub> and CH<sub>4</sub> production processes in the EL of 400% thallus water content. N, <span class="html-italic">Evernia mesomorpha</span> occupying larch branches of northern exposure; S, <span class="html-italic">Evernia mesomorpha</span> occupying larch branches of southern exposure; W, <span class="html-italic">Evernia mesomorpha</span> occupying larch branches of western exposure. Because of the extremely low abundance of ELs on east-exposed larch branches, the GHG fluxes are not shown for the eastern exposure. Small letters designate the differences between the fluxes by ELs of various thallus water content but of the same branch exposure (N, S, W) according to the pairwise Wilcoxon test. Capital letters describe the differences between the branch exposures within the same thallus water content of the <span class="html-italic">Evernia mesomorpha</span> according to the pairwise Wilcoxon test.</p>
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<p>PCA of the relationships within the processes gathered in the CO<sub>2</sub> (<b>A</b>) and CH<sub>4</sub> (<b>B</b>) fluxes from the thallus of <span class="html-italic">Evernia mesomorpha</span> inhabiting the larch branches of various exposures and different thallus water contents. S50, south-exposed EL of 50% of water content; S100, south-exposed EL of 100% of water content; S200, south-exposed EL of 200% of water content; S400, south-exposed EL of 400% of water content; N50, north-exposed EL of 50% of water content; N100, north-exposed EL of 100% of water content; N200, north-exposed EL of 200% of water content; N400, north-exposed EL of 400% of water content; W50, west-exposed EL of 50% of water content; W100, west-exposed EL of 100% of water content; W200, west-exposed EL of 200% of water content; W400, west-exposed EL of 400% of water content.</p>
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<p>Keeling plots of δ<sup>13</sup>C in CO<sub>2</sub> samples collected before (<b>A</b>) and after 2 h (<b>B</b>) of incubation of <span class="html-italic">Evernia mesomorpha</span> (at 200% of thallus water content) during a course of three-day incubation under illumination. SW (red), larch branches of southern and western exposures; NE (blue), larch branches of northern and eastern exposures.</p>
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21 pages, 2374 KiB  
Article
Biomethane Production and Methanogenic Microbiota Restoration After a pH Failure in an Anaerobic Sequencing Batch Reactor (A-SBR) Treating Tequila Vinasse
by Adriana Serrano-Meza, Iván Moreno-Andrade, Edson B. Estrada-Arriaga, Sergio A. Díaz-Barajas, Liliana García-Sánchez and Marco A. Garzón-Zúñiga
Fermentation 2024, 10(11), 557; https://doi.org/10.3390/fermentation10110557 - 31 Oct 2024
Viewed by 927
Abstract
Precise control of operational parameters in anaerobic digestion reactors is crucial to avoid imbalances that could affect biomethane production and alterations in the microbiota. Restoring the methanogenic microbiota after a failure is essential for recovering methane production, yet no published strategies exist for [...] Read more.
Precise control of operational parameters in anaerobic digestion reactors is crucial to avoid imbalances that could affect biomethane production and alterations in the microbiota. Restoring the methanogenic microbiota after a failure is essential for recovering methane production, yet no published strategies exist for this recovery. In this study, we restored the methanogenic microbiota in an anaerobic SBR reactor that operates with both biofilm and suspended biomass simultaneously, aiming to treat tequila vinasses. Four strategies were evaluated for restoring the methanogenic microbiota: reducing the initial vinasse concentration, increasing the reaction time (RT), adjusting the carbon/nitrogen (C/N) ratio, and progressively increasing the initial vinasse concentration. Among these, adjusting the C/N ratio emerged as a critical parameter for restoring organic matter removal efficiency and reestablishing methanogenic microbiota. The operational conditions under which the methanogenic activity and microbiota were restored were as follows: Operating the A-SBR with an initial vinasse concentration of 60%, an RT of 168 h, a pH of 6.9 ± 0.2, a temperature of 35 ± 2 °C, and a C/N ratio adjusted to 100/1.9 resulted in stable COD removal efficiency of 93 ± 3% over a year and a high percentage of methanogenic microorganisms in both the suspended microbiota (69%) and biofilm (52%). The normalized methane production (0.332 NL CH4/g CODr) approached the theoretical maximum value (0.35 L CH4/g CODr) after restoring the population and methanogenic activity within the reactor. Full article
(This article belongs to the Special Issue New Research on Biomethane Production)
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<p>COD behavior during the transition from a methanogenic microbiota to an acidogenic one within an A-SBR.</p>
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<p>COD behavior when decreasing the initial concentration of vinasse from 55 to 40%.</p>
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<p>COD behavior with the increase of reaction time to 168 h.</p>
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<p>Degradation of VFA and COD in the operational cycles of increasing reaction time to 168 h.</p>
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<p>COD behavior during carbon/nitrogen (C/N) ratio adjustment: Stage I—Addition of 2.4 g/L NH<sub>4</sub>Cl, Stage II—Two doses of 2.4 g/L NH<sub>4</sub>Cl in the first 4 cycles, Stage III—1.3 g/L CO(NH<sub>2</sub>)<sub>2</sub> in the first 3 cycles, Stage IV—Addition of 1.1 g/L NH<sub>4</sub>Cl in all cycles.</p>
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<p>COD degradation in Stage I operational cycles with 2.4 g/L NH4Cl addition.</p>
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<p>Behavior of COD with increasing initial vinasse concentration from 50% to 60%.</p>
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<p>Behavior of COD with optimal conditions (RT = 168 h, initial concentration of vinasse = 60%, C/N ratio = 100/1.9).</p>
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<p>Families identified in the A-SBR operated under optimal conditions in (<b>a</b>) the suspended microbiota, and (<b>b</b>) the biofilm.</p>
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19 pages, 5128 KiB  
Article
Comparative Study of Mesophilic Biomethane Production in Ex Situ Trickling Bed and Bubble Reactors
by Apostolos Spyridonidis and Katerina Stamatelatou
Fermentation 2024, 10(11), 554; https://doi.org/10.3390/fermentation10110554 - 30 Oct 2024
Cited by 1 | Viewed by 835
Abstract
Biomethane production via biogas upgrading is regarded as a future renewable gas, further boosting the biogas economy. Moreover, when upgrading is realized by the biogas CO2 conversion to CH4 using surplus renewable energy, the process of upgrading becomes a renewable energy [...] Read more.
Biomethane production via biogas upgrading is regarded as a future renewable gas, further boosting the biogas economy. Moreover, when upgrading is realized by the biogas CO2 conversion to CH4 using surplus renewable energy, the process of upgrading becomes a renewable energy storage method. This conversion can be carried out via microorganisms, and has attracted scientific attention, especially under thermophilic conditions. In this study, mesophilic conditions were imposed using a previously developed enriched culture. The enriched culture consisted of the hydrogenotrophic Methanobrevibacter (97% of the Archaea species and 60% of the overall population). Biogas upgrading took place in three lab-scale bioreactors: (a) a 1.2 L bubble reactor (BR), (b) a 2 L trickling bed reactor (TBR) filled with plastic supporting material (TBR-P), and (c) a 1.2 L TBR filled with sintered glass balls (TBR-S). The gas fed into the reactors was a mixture of synthetic biogas and hydrogen, with the H2 to biogas CO2 ratio being 3.7:1, lower than the stoichiometric ratio (4:1). Therefore, the feeding gas mixture did not make it possible for the CH4 content in the biomethane to be more than 97%. The results showed that the BR produced biomethane with a CH4 content of 91.15 ± 1.01% under a gas retention time (GRT) of 12.7 h, while the TBR-P operation resulted in a CH4 content of 90.92 ± 2.15% under a GRT of 6 h. The TBR-S operated at a lower GRT (4 h), yielding an effluent gas richer in CH4 (93.08 ± 0.39%). Lowering the GRT further deteriorated the efficiency but did not influence the metabolic pathway, since no trace of volatile fatty acids was detected. These findings are essential indicators of the process stability under mesophilic conditions. Full article
(This article belongs to the Special Issue Microbial Fixation of CO2 to Fuels and Chemicals)
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<p>Packing material used in the TBRs: polyethylene rings (<b>left</b>) and sintered glass balls (<b>right</b>).</p>
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<p>Schematic depiction of the experimental setup for (<b>a</b>) the BR and (<b>b</b>) TBR.</p>
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<p>Utilization efficiencies of the reacting gases and the net methane production compared to the maximum level in the BR under different GRTs.</p>
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<p>Utilization efficiencies of the reacting gases and the net methane production compared to the maximum level in the TBR-P under different GRTs.</p>
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<p>Utilization efficiencies of the reacting gases and the net methane production compared to the maximum level in the TBR-S under different GRTs.</p>
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<p>Comparison of the net MPR of all bioreactors versus the HLR.</p>
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<p>Calibration curve for VSS estimation based on spectrophotometry.</p>
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<p>VSS concentration in the BR.</p>
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<p>Biomethane gas composition produced from the (<b>a</b>) BR, (<b>b</b>) TBR-P, and (<b>c</b>) TBR-S under different GRTs.</p>
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<p>Biomethane gas composition produced from the (<b>a</b>) BR, (<b>b</b>) TBR-P, and (<b>c</b>) TBR-S under different GRTs.</p>
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<p>VFA concentration, conductivity, and pH in the (<b>a</b>) BR, (<b>b</b>) TBR-P, and (<b>c</b>) TBR-S under different GRTs.</p>
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14 pages, 807 KiB  
Review
Methanogenesis—General Principles and Application in Wastewater Remediation
by Ana-Katarina Marić, Martina Sudar, Zvjezdana Findrik Blažević and Marija Vuković Domanovac
Energies 2024, 17(21), 5374; https://doi.org/10.3390/en17215374 - 29 Oct 2024
Viewed by 1132
Abstract
The first discovery of methanogens led to the formation of a new domain of life known as Archaea. The Archaea domain exhibits properties vastly different from previously known Bacteria and Eucarya domains. However, for a certain multi-step process, a syntrophic relationship between organisms [...] Read more.
The first discovery of methanogens led to the formation of a new domain of life known as Archaea. The Archaea domain exhibits properties vastly different from previously known Bacteria and Eucarya domains. However, for a certain multi-step process, a syntrophic relationship between organisms from all domains is needed. This process is called methanogenesis and is defined as the biological production of methane. Different methanogenic pathways prevail depending on substrate availability and the employed order of methanogenic Archaea. Most methanogens reduce carbon dioxide to methane with hydrogen through a hydrogenotrophic pathway. For hydrogen activation, a group of enzymes called hydrogenases is required. Regardless of the methanogenic pathway, electrons are carried between microorganisms by hydrogen. Naturally occurring processes, such as methanogenesis, can be engineered for industrial use. With the growth and emergence of new industries, the amount of produced industrial waste is an ever-growing environmental problem. For successful wastewater remediation, a syntrophic correlation between various microorganisms is needed. The composition of microorganisms depends on wastewater type, organic loading rates, anaerobic reactor design, pH, and temperature. The last step of anaerobic wastewater treatment is production of biomethane by methanogenesis, which is thought to be a cost-effective means of energy production for this renewable biogas. Full article
(This article belongs to the Special Issue Advances in Wastewater Treatment 2024)
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<p>Simplified representation of reactions during wastewater treatment. Modified by authors from Ref. [<a href="#B28-energies-17-05374" class="html-bibr">28</a>].</p>
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<p>Schematic representations of reactors: (<b>a</b>) continuously stirred tank reactor; (<b>b</b>) upflow anaerobic sludge bed reactor; (<b>c</b>) membrane bioreactor. Modified by authors from Refs. [<a href="#B3-energies-17-05374" class="html-bibr">3</a>,<a href="#B28-energies-17-05374" class="html-bibr">28</a>].</p>
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13 pages, 2422 KiB  
Article
Enhancement of Activated Carbon on Anaerobic Fermentation of Heavy-Metal-Contaminated Plants: Insights into Microbial Responses
by Yonglan Tian, Huayong Zhang, Lei Zheng, Yudong Cao and Wang Tian
Microorganisms 2024, 12(11), 2131; https://doi.org/10.3390/microorganisms12112131 - 24 Oct 2024
Viewed by 769
Abstract
Anaerobic fermentation is a potentially cost-effective approach to disposing of metal-contaminated biowaste collected during phytoremediation. However, the compound heavy metals contained in the biowaste may limit the efficiency of anaerobic fermentation. In this study, anaerobic fermentation with alfalfa harvested from an iron tailing [...] Read more.
Anaerobic fermentation is a potentially cost-effective approach to disposing of metal-contaminated biowaste collected during phytoremediation. However, the compound heavy metals contained in the biowaste may limit the efficiency of anaerobic fermentation. In this study, anaerobic fermentation with alfalfa harvested from an iron tailing as the feedstock was set up and further enhanced by granular activated carbon (AC). The results showed that adding AC improved the cumulative biogas yields of alfalfa contaminated with metals (AM) by 2.26 times. At the biogas peak stage, plenty of microbes were observed on the surface of the AC, and the functional groups of AC contributed to better electron transfer, lower heavy metal toxicity and higher CH4 contents. AC increased the richness and decreased the diversity of bacteria while reducing both the richness and diversity of archaea. The AC addition resulted in higher relative abundance of Prevotella_7, Bacteroides and Ruminiclostridium_1, which enhanced the hydrolysis of substrate and produced more precursors for methanogenesis. Meanwhile, the relative abundances of Methanosarcina and Methanobacterium were remarkably increased together with the metabolism of cofactors and vitamins, indicating the enhancement of both the acetoclastic and hydrotrophic methanogenesis. The present study provided new insights into the microbial responses of the anaerobic fermentation in heavy-metal-contaminated plants and proved the possibility of enhancing the biogas production by AC. Full article
(This article belongs to the Section Environmental Microbiology)
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<p>Cumulative biogas yields (<b>a</b>), daily biogas yields (<b>b</b>) and CH<sub>4</sub> contents (<b>c</b>) of the CD, CD+AM and CD+AM+AC groups during the fermentation. CD: cow dung only; CD+AM: cow dung and alfalfa; CD+AM+AC: cow dung, alfalfa and activated carbon.</p>
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<p>Scanning electron microscope (SEM) and Fourier transform infrared absorption spectros-copy (FTIR) of the AC. (<b>a</b>) SEM of the original AC; (<b>b</b>) SEM of AC collected on the daily biogas peak day; (<b>c</b>) FTIR of original and peak day AC.</p>
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<p>α-diversity indices of the microbial communities in the substrate without AC, the substrate with AC and on the surface of AC. (<b>a</b>,<b>e</b>) Observed species; (<b>b</b>,<b>f</b>) Chao 1 index; (<b>c</b>,<b>g</b>) Shannon index; (<b>d</b>,<b>h</b>) PD_whole_tree; (<b>a</b>–<b>d</b>) bacteria; (<b>e</b>–<b>h</b>) archaea. Different letters indicate the significant differences based on the ANOVA analysis.</p>
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<p>Bacterial (<b>a</b>) and methanogenic (<b>b</b>) genera in the substrate without AC, substrate with AC and on the surface of AC.</p>
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<p>The KEGG level 2 functional pathways predicted by PICRUSt2.</p>
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