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17 pages, 4647 KiB  
Article
Monitoring the Composting Process of Olive Oil Industry Waste: Benchtop FT-NIR vs. Miniaturized NIR Spectrometer
by Marta Peña-Rueda, Ana Domínguez-Vidal, Víctor Aranda and María José Ayora-Cañada
Agronomy 2024, 14(12), 3061; https://doi.org/10.3390/agronomy14123061 (registering DOI) - 22 Dec 2024
Viewed by 80
Abstract
Miniaturized near-infrared (NIR) spectrometers are revolutionizing the agri-food industry thanks to their compact size and ultra-fast analysis capabilities. This work compares the analytical performance of a handheld NIR spectrometer and a benchtop FT-NIR for the determination of several parameters, namely, pH, electrical conductivity [...] Read more.
Miniaturized near-infrared (NIR) spectrometers are revolutionizing the agri-food industry thanks to their compact size and ultra-fast analysis capabilities. This work compares the analytical performance of a handheld NIR spectrometer and a benchtop FT-NIR for the determination of several parameters, namely, pH, electrical conductivity (EC25), C/N ratio, and organic matter as LOI (loss-on-ignition) in compost. Samples were collected at different stages of maturity from a full-scale facility that processes olive mill semi-solid residue together with olive tree pruning residue and animal manure. Using an FT-NIR spectrometer, satisfactory predictions (RPD > 2.0) were obtained with both partial least squares (PLS) and support vector machine (SVM) regression, SVM clearly being superior in the case of pH (RMSEP = 0.26; RPD = 3.8). The superior performance of the FT-NIR spectrometer in comparison with the handheld spectrometer was essentially due to the extended spectral range, especially for pH. In general, when analyzing intact samples with the miniaturized spectrometer, sample rotation decreased RMSEP values (~20%). Nevertheless, a fast and simple assessment of compost quality with reasonable prediction performance can also be achieved on intact samples by averaging static measurements acquired at different sample positions. Full article
(This article belongs to the Section Farming Sustainability)
20 pages, 7057 KiB  
Review
Sustainable Agriculture Through Agricultural Waste Management: A Comprehensive Review of Composting’s Impact on Soil Health in Moroccan Agricultural Ecosystems
by Majda Oueld Lhaj, Rachid Moussadek, Abdelmjid Zouahri, Hatim Sanad, Laila Saafadi, Meriem Mdarhri Alaoui and Latifa Mouhir
Agriculture 2024, 14(12), 2356; https://doi.org/10.3390/agriculture14122356 (registering DOI) - 21 Dec 2024
Viewed by 464
Abstract
Agricultural activities generate substantial quantities of waste, which are often relegated to landfills or incineration. However, these residues can be effectively valorized through composting, which transforms them into valuable organic fertilizers (OF). Composting agricultural waste (AW) mitigates environmental impacts and offers significant benefits [...] Read more.
Agricultural activities generate substantial quantities of waste, which are often relegated to landfills or incineration. However, these residues can be effectively valorized through composting, which transforms them into valuable organic fertilizers (OF). Composting agricultural waste (AW) mitigates environmental impacts and offers significant benefits in enhancing soil fertility and productivity. This practice is particularly beneficial in regions with low soil fertility and degraded land, where compost can improve soil health and productivity. This review provides a comprehensive analysis of the literature on the valorization of AW through composting, focusing on its environmental, agricultural, and economic impacts on soil health, especially in Morocco’s agricultural ecosystems. It synthesizes findings from studies published over the past two decades to offer critical insights and recommendations for optimizing composting practices. By systematically evaluating, this review highlights composting as a pivotal strategy for enhancing soil health, reducing environmental impact, and promoting sustainable AW management. Future research is essential to explore opportunities for optimizing the composting process, including content enhancement and processing duration. In summary, the composting process can be seen as an effective and sustainable solution that fits within the principles of circular economy (CE) and that requires careful evaluation and ongoing monitoring. Full article
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<p>Spatial distribution of chosen publication on the topic of composting across the world.</p>
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<p>Visual network representation of keywords derived from VOSviewer analysis.</p>
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<p>Density visualization map illustrating the distribution of keywords generated by VOSviewer.</p>
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<p>Visualization of temporal analysis of keyword patterns in VOSviewer.</p>
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<p>Illustration of compost impact on soil and environmental parameters.</p>
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45 pages, 6789 KiB  
Article
Biomass Refined: 99% of Organic Carbon in Soils
by Robert J. Blakemore
Biomass 2024, 4(4), 1257-1301; https://doi.org/10.3390/biomass4040070 (registering DOI) - 20 Dec 2024
Viewed by 207
Abstract
Basic inventory is required for proper understanding and utilization of Earth’s natural resources, especially with increasing soil degradation and species loss. Soil carbon is newly refined at >30,000 Gt C (gigatonnes C), ten times above prior totals. Soil organic carbon (SOC) is up [...] Read more.
Basic inventory is required for proper understanding and utilization of Earth’s natural resources, especially with increasing soil degradation and species loss. Soil carbon is newly refined at >30,000 Gt C (gigatonnes C), ten times above prior totals. Soil organic carbon (SOC) is up to 24,000 Gt C, plus plant stocks at ~2400 Gt C, both above- and below-ground, hold >99% of Earth’s biomass. On a topographic surface area of 25 Gha with mean 21 m depth, Soil has more organic carbon than all trees, seas, fossil fuels, or the Atmosphere combined. Soils are both the greatest biotic carbon store and the most active CO2 source. Values are raised considerably. Disparity is due to lack of full soil depth survey, neglect of terrain, and other omissions. Herein, totals for mineral soils, Permafrost, and Peat (of all forms and ages), are determined to full depth (easily doubling shallow values), then raised for terrain that is ignored in all terrestrial models (doubling most values again), plus SOC in recalcitrant glomalin (+25%) and friable saprock (+26%). Additional factors include soil inorganic carbon (SIC some of biotic origin), aquatic sediments (SeOC), and dissolved fractions (DIC/DOC). Soil biota (e.g., forests, fungi, bacteria, and earthworms) are similarly upgraded. Primary productivity is confirmed at >220 Gt C/yr on land supported by Barrow’s “bounce” flux, C/O isotopes, glomalin, and Rubisco. Priority issues of species extinction, humic topsoil loss, and atmospheric CO2 are remedied by SOC restoration and biomass recycling via (vermi-)compost for 100% organic husbandry under Permaculture principals, based upon the Scientific observation of Nature. Full article
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<p>Atmospheric CO<sub>2</sub> drawdown and O<sub>2</sub> release is from invasion and expansion of land plants. Ref. [<a href="#B7-biomass-04-00070" class="html-bibr">7</a>] extend this with “<span class="html-italic">plant evolution from fresh water to salt water and, at least 500 million years ago, to land</span>”. figure 5 in ref. [<a href="#B8-biomass-04-00070" class="html-bibr">8</a>], who stated “<span class="html-italic">The first land plants buried so much</span> [soil organic] <span class="html-italic">carbon that O<sub>2</sub> accumulated in the atmosphere to roughly present levels</span>”. Most biomass and organic matter are yet found in soils, especially with the most recent ecological studies including terrestrial plants that root or seed as being soil-based thus within a soil inventory.</p>
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<p>Interlinked exchange recycling between endosymbiotic plant Chloroplasts and eukaryote Mitochondria in both autotrophic and heterotrophic plants, fungi, or animals. (Source with permission: Cornell, B: <a href="https://old-ib.bioninja.com.au/higher-level/topic-8-metabolism-cell/untitled-2/photosynthesis-vs-respirati.html" target="_blank">https://old-ib.bioninja.com.au/higher-level/topic-8-metabolism-cell/untitled-2/photosynthesis-vs-respirati.html</a>, accessed 10 May 2024).</p>
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<p>Different models have different CO<sub>2</sub> values, but 550 Ma ago when submerged plants emerged, the (shaded/yellow) estimates range from 20,000 down to 2500 ppm and, as discussed later in Results, this implies &gt;5000–40,000 (median 23,000) Gt C active drawdown via living biomass into soils. (<a href="https://en.wikipedia.org/wiki/File:Phanerozoic_Carbon_Dioxide.png" target="_blank">https://en.wikipedia.org/wiki/File:Phanerozoic_Carbon_Dioxide.png</a> 27 May 2024. CC-BY, accessed on 11 November 2024).</p>
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<p>Countering a common misconception that Ocean supports most biomass and abundance (=productivity and biodiversity) is a recent summary (<a href="https://ourworldindata.org/grapher/biomass-vs-abundance-taxa" target="_blank">https://ourworldindata.org/grapher/biomass-vs-abundance-taxa</a>, accessed on 11 November 2024; CC-BY). Terrestrial soil data presented are wide underestimations lacking both full depth and 3D area; however, those taxa inventoried from registers, such as humans or livestock (possibly birds), are not subject to similar areal gains. Annelid counts are terrestrial earthworms (not marine worms). Cnidarians are mostly marine corals/jellies.</p>
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<p>Major global carbon stores [<a href="#B39-biomass-04-00070" class="html-bibr">39</a>] prior to current Biosphere and Soil carbon revisions. Lithosphere is the rocky mantle with calcitic or dolomitic rocks such as dolomite, limestone, chalk, or marble. Soil organic and inorganic carbon (SOC + SIC) total is ~3000 Gt C, cf., the current study concluding &gt;30,000 Gt C or ×10, approaching Oceans’ dissolved carbon (DOC + DIC) mostly eroded from soils or rocks. Should the 5000–10,000 Gt C in mainly terrestrial fossil fuel stocks (e.g., coal, oil, gas) be added, the Soil tally matches the Oceans’. Note: Pg C = Gt C.</p>
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<p>Figure 6 in ref. [<a href="#B40-biomass-04-00070" class="html-bibr">40</a>] with data taken from [<a href="#B42-biomass-04-00070" class="html-bibr">42</a>]. Conventional summary of carbon stocks and sources as reviewed in the current study. Note: Oceanic dissolved inorganic carbon (DIC) is shown, but neither soil inorganic carbon (SIC + DIC) nor the enormous inorganic carbon in Lithospheric rocks on land (as shown in <a href="#biomass-04-00070-f005" class="html-fig">Figure 5</a>). Another disparity example is in the misplaced priorities of online search of the GCP website with 102 hits for “<span class="html-italic">ocean</span>/<span class="html-italic">marine</span>” but only 26 for “<span class="html-italic">soil</span>”.</p>
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<p>Figure 9.16 in ref. [<a href="#B42-biomass-04-00070" class="html-bibr">42</a>]. Compared to [<a href="#B40-biomass-04-00070" class="html-bibr">40</a>], total soil (2900 Gt C) is less by 200 Gt C (in Permafrost) and NPP is a bit higher at (142/2 =) 71 Gt C/yr. Dissolved organic carbon (DOC) in the Ocean, amounting to about 660–680 Gt C, is spread throughout its depth, and may be relatively ancient and non-reactive [<a href="#B45-biomass-04-00070" class="html-bibr">45</a>]. Ref. [<a href="#B42-biomass-04-00070" class="html-bibr">42</a>] say vertical transfer of DOC creates a downward flux of organic carbon from upper ocean known as “<span class="html-italic">export production</span>” of roughly 11 Gt C that may better reflect Ocean NPP, cf., Land’s 142 Gt C/yr GPP, yet further diminishing marine relevance. An admission is that “<span class="html-italic">Ocean-atmosphere</span>” flux is (passive) “<span class="html-italic">gas exchange</span>”.</p>
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<p>AR5 (figure 10.5 in ref. [<a href="#B41-biomass-04-00070" class="html-bibr">41</a>]) wherein Ocean values are the same as AR6 (IPCC 2024: fig. 5.12) but all terrestrial values differ: Viz., Vegetation 450–650, median 550 vs. 450; Soils 1500–2400, median ~2000 vs. 1700; Permafrost ~1700(!) vs. 1200 Gt C. Fossil fuel reserve values differ too.</p>
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<p>Carbon cycle modified from figure 5 in ref. [<a href="#B87-biomass-04-00070" class="html-bibr">87</a>], updated as discussed.</p>
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<p>(<b>A</b>) Atmospheric CO<sub>2</sub> (log-scale ppm) and (<b>B</b>) O<sub>2</sub> (linear %) correlations modelled through time with black line medians and 95% confidence intervals shaded grey. Five prior extinction events are marked on a pink Era band. Fluctuations in atmospheric CO<sub>2</sub> and O<sub>2</sub> levels are from biotic, climatic, or mass extinction events altering global biomass stocks, then as now [<a href="#B91-biomass-04-00070" class="html-bibr">91</a>].</p>
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<p>From figure 12 in ref. [<a href="#B106-biomass-04-00070" class="html-bibr">106</a>] of SOC with abbreviations of MNC for Microbial Necromass-C; EE- and T-GRSP for easily extractable and total Glomalin-Related Soil Proteins; AMF for Arbuscular mycorrhiza; BRC and FRC for Bacterial and Fungal Residual carbon. GRSP made up 24% or 18% of 20.4 or 25.1 g/kg SOC stocks, respectively. Of note, outside of FRC and GRSP-C, bacterial BRC contributed about 15% of their absolute total SOC carbon across both study habitats. It is likely mistaken to claim increases from Crop to Woodland, as woodlands are cleared for crops.</p>
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<p>Soil carbon to &gt;2.5 m from figure 5 in ref. [<a href="#B50-biomass-04-00070" class="html-bibr">50</a>]. DIC (in blue) is for subsurface soils and, as average soil depth is now &gt;13–21 m, doubling for greater depth seems entirely justified.</p>
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<p>After NOAA (<a href="https://gml.noaa.gov/ccgg/trends/global.html" target="_blank">https://gml.noaa.gov/ccgg/trends/global.html</a>, accessed 11 November 2022) mean CO<sub>2</sub> globally averaged over marine surface sites (i.e., remote from immediate land influences), showing median (black) and seasonal (red) CO<sub>2</sub> fluxes mainly attributed to continual Soil Respiration (brown) or boreal spring/summer land plant Drawdown (green) factors. Note lack of any signal of COVID-19 transport reductions with industry shutdowns from 2020–2022. (Source: [<a href="#B154-biomass-04-00070" class="html-bibr">154</a>], 2022—<a href="https://vermecology.wordpress.com/2020/08/31/barrow/" target="_blank">https://vermecology.wordpress.com/2020/08/31/barrow/</a>, accessed 11 November 2024).</p>
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<p>NOAA’s Barrow site in Alaska is the northernmost monitoring station yielding seasonally fluctuating curves of 60–80 Gt C/yr flux (blue), what I call the “<span class="html-italic">Barrow bounce</span>”, being much higher than fossil fuel emissions and far in excess of any expensive Biomass Energy or Carbon Capture &amp; Storage (BECCS/CCS) schemes. Revised terrestrial NPP (green) vs. soil respiration SR (brown) fluxes just about balance out, more or less; being much greater than the prior guesstimates (black).</p>
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20 pages, 1196 KiB  
Article
Accelerated Co-Composting of Textile Waste Using the New Strains and Microbial Consortium: Evaluation of Maturity, Stability and Microbial Activity
by Saloua Biyada, Daiva Tauraitė, Jaunius Urbonavičius and Mohammed Merzouki
Appl. Sci. 2024, 14(24), 11976; https://doi.org/10.3390/app142411976 (registering DOI) - 20 Dec 2024
Viewed by 326
Abstract
In the present work, the impact of three new bacterial strains and their consortium on composting was evaluated using textile waste as a main substrate mixed with paper, cardboard and green waste, The effectiveness of these micro-organisms in accelerating organic matter degradation was [...] Read more.
In the present work, the impact of three new bacterial strains and their consortium on composting was evaluated using textile waste as a main substrate mixed with paper, cardboard and green waste, The effectiveness of these micro-organisms in accelerating organic matter degradation was tested. For bioaugmentation of composting, three concentrations (4%, 6% and 8%) were applied. Among the three strains tested, one strain and the consortium demonstrated high organic matter degradation potential, achieving a total organic carbon concentration between 19–21%, total Kjeldahl nitrogen between 1.29–1.56%, a C/N ratio between 13–16%, and a temperature exceeding 55 °C. In the current study, mature compost was attained in 10 weeks, instead of the 44 weeks required for conventional composting and the 12 weeks achieved with other strains previously used. Identification of the strains by 16S rRNA sequencing revealed that they belonged to Bacillus sp., Paenibacillus sp., and Enterobacter aerogenes, respectively. These strains are recognized for their remarkable potential to breakdown a broad variety of organic matter, including lignocellulosic molecules. Furthermore, incorporation of bacteria into the waste mixture (either separately or as a consortium) extended the thermophilic phase by 2 weeks in this study, especially Bacillus sp., Paenibacillus sp. and consortium, leading to a significant reduction in compost production time. It is noteworthy that the efficacy of these strains was considerably greater compared with the three previous strains (i.e., Streptomyces cellulosae, Achromobacter xylosoxidans and Serratia liquefaciens), which were isolated from compost and used for bioaugmentation in a previous study. Our results demonstrate that bioaugmentation by endogenous microbial strains and/or their consortium significantly accelerates the composting process. Full article
(This article belongs to the Section Chemical and Molecular Sciences)
24 pages, 3409 KiB  
Article
Analysis of the Composition and Properties of Municipal Solid Waste from Various Cities in Kazakhstan
by Sergey A. Glazyrin, Yelaman K. Aibuldinov, Eldar E. Kopishev, Mikhail G. Zhumagulov and Zarina A. Bimurzina
Energies 2024, 17(24), 6426; https://doi.org/10.3390/en17246426 - 20 Dec 2024
Viewed by 528
Abstract
According to the Bureau of National Statistics of the Republic of Kazakhstan, by the end of 2023, approximately 120 million tons of municipal solid waste (MSW) had been generated across over 3200 landfills in the country. About 4.5 million tons are generated annually, [...] Read more.
According to the Bureau of National Statistics of the Republic of Kazakhstan, by the end of 2023, approximately 120 million tons of municipal solid waste (MSW) had been generated across over 3200 landfills in the country. About 4.5 million tons are generated annually, of which only about 15% are recycled. The accumulation of both unsorted and sorted waste poses significant environmental risks, primarily through the generation of methane, a greenhouse gas that is 28 times more dangerous than carbon dioxide in contributing to the planet’s greenhouse effect over a century and 84 times more effective over a 20-year timeframe. The objective of this research is to examine the physicochemical composition, as well as the physical and thermal-chemical properties, of municipal solid waste from six cities in Kazakhstan: Astana, Almaty, Shymkent, Aktobe, Karaganda, and Ust-Kamenogorsk. Unlike existing studies, this study has a uniform waste sample, which includes the complete emptying of dozens of containers from different areas of the cities under consideration. Thus, the average composition of solid waste across the cities was maintained. Analysis of the physicochemical composition was conducted for both unsorted and sorted municipal solid waste from all cities, determining the total and analytical moisture content, ash content, and volatile matter, as well as the higher and lower calorific values. The calorific value of unsorted waste by city was as follows, in kJ/kg: Astana,8850.37; Almaty, 9244.57; Atobe, 9596.41; Shymkent, 9425.48; Karaganda, 8902.8; Ust-Kamenogorsk, 9669.07. The calorific value of sorted waste was as follows, in kJ/kg: Astana, 11,922.79; Almaty, 11,692.31; Atobe, 11,913.13; Shymkent, 12,494.38; Karaganda, 11,671.92; Ust-Kamenogorsk, 12,462.52. The efficiency of sorting was estimated as the first stage of MSW processing. The efficiency factor of the manual sorting process in practice was 0.4–0.8. The results obtained enable the evaluation of technologies for the effective management of municipal solid waste and facilitate experimental investigations into semi-industrial pyrolysis, combustion, plasma processing, and composting facilities. Full article
(This article belongs to the Topic Advances in Organic Solid Waste and Wastewater Management)
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<p>Proportion of the population covered by MSW removal services in the Republic of Kazakhstan.</p>
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<p>The proportion of MSW recycling across the regions of the Republic of Kazakhstan.</p>
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<p>Physicochemical composition of fuel.</p>
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<p>Waste Separation Procedure.</p>
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<p>Samples formed under a press.</p>
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<p>Analysis of the combustion heat of solid waste by city.</p>
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<p>Analysis of the physicochemical composition of unsorted MSW by city.</p>
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<p>Analysis of the physicochemical composition of sorted MSW by city.</p>
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13 pages, 1530 KiB  
Article
Emerging Contaminants from Bioplastic Pollution in Marine Waters
by Amedeo Boldrini, Nicola Gaggelli, Francesco Falcai, Alessio Polvani, Luigi Talarico, Luisa Galgani, Riccardo Cirrone, Xinyu Liu and Steven Loiselle
Water 2024, 16(24), 3676; https://doi.org/10.3390/w16243676 - 20 Dec 2024
Viewed by 295
Abstract
The increasing presence of compostable bioplastics as substitutes for conventional fossil-based plastics necessitates a deeper understanding of their environmental impacts, particularly in marine ecosystems, where they often accumulate. This study examines the leaching potential of different phthalic acid esters (PAEs) from commercial biodegradable [...] Read more.
The increasing presence of compostable bioplastics as substitutes for conventional fossil-based plastics necessitates a deeper understanding of their environmental impacts, particularly in marine ecosystems, where they often accumulate. This study examines the leaching potential of different phthalic acid esters (PAEs) from commercial biodegradable plastic bags into natural seawater over a three-month period. Degradation experiments were conducted to investigate the release of PAEs under direct solar radiation exposure and in shielded conditions. 1H-NMR analysis of the seawater confirmed the release of phthalates, with higher concentrations observed in the samples exposed to sunlight. The leaching rate ranged from 264–342 microgram/g plastic under light exposure to 20–167 microgram/g in dark conditions. These results indicate that the accumulation of compostable plastic waste in coastal marine environments leads to the release of phthalic acid esters, with potential implications for marine ecosystem health and human exposure to these emerging contaminants. Full article
(This article belongs to the Section Water Quality and Contamination)
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Graphical abstract
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<p>FTIR spectra of BB4, BB8, and BB9 plastic samples over the range 4000–400 cm<sup>−1</sup>.</p>
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<p><sup>1</sup>H-NMR spectra of BB4 (red), BB8 (green), and BB9 (blue) plastic samples in deuterated acetone, showing characteristic signals of aromatic protons of phthalate esters.</p>
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<p>Chromatograms of each biobag compared to a 3 mg/L standard solution of phthalate ester mix, with relative peak assignment.</p>
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<p>The aromatic region of <sup>1</sup>H-NMR spectra of seawater samples after exposure to biobags for 120 days; asterisk (*) indicates the peaks assigned to H3/H4 and H2/H5 of phthalate.</p>
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11 pages, 516 KiB  
Article
Potential for Using Composts Produced from Agri-Food Industry Waste as Biocomponents of Liquid and Solid Fuels
by Aneta Sienkiewicz, Paweł Cwalina, Sławomir Obidziński, Małgorzata Krasowska, Małgorzata Kowczyk-Sadowy, Alicja Piotrowska-Niczyporuk and Andrzej Bajguz
Energies 2024, 17(24), 6412; https://doi.org/10.3390/en17246412 - 19 Dec 2024
Viewed by 298
Abstract
The growing awareness of the depletion of fossil fuels and numerous environmental issues have led to increased interest in finding natural components that can be used to produce various types of fuels. In this study, composts made from the organic fraction of agri-food [...] Read more.
The growing awareness of the depletion of fossil fuels and numerous environmental issues have led to increased interest in finding natural components that can be used to produce various types of fuels. In this study, composts made from the organic fraction of agri-food waste (i.e., two composts produced in a bioreactor and one obtained from a Municipal Waste Disposal Facility) were evaluated for the first time as potential sources of additives for fuel production. The presence of fatty acid methyl esters was determined using gas chromatography–mass spectrometry (GC-MS/SIM), while the calorific value and heat of combustion of the samples were measured in accordance with the PN-EN ISO 1928:2002 standard using a calorimeter. Chromatographic studies identified the presence of 33 compounds, predominantly unsaturated esters. The highest ester content was noted in the compost obtained from the company, while the lowest content was found in the compost containing grass, buckwheat husk, and apple pomace. Of the studied raw materials, the highest calorific value and heat of combustion on a dry matter basis were observed for the compost containing grass, buckwheat husk, and apple pomace, while the lowest values were recorded for the compost obtained from the company. Based on the obtained results, it can be concluded that composts could serve as biocomponents of fuels. Full article
19 pages, 2321 KiB  
Article
Analysis of the Effects of Biomass Stabilization Under Varying Thermal Conditions with Respect to the Quality Characteristics of Compost Transformation Products
by Mariusz Adamski, Marcin Herkowiak, Przemysław Marek, Kamila E. Klimek and Magdalena Kapłan
Energies 2024, 17(24), 6410; https://doi.org/10.3390/en17246410 - 19 Dec 2024
Viewed by 291
Abstract
The aim of this work was to analyze the influence of thermal conditions and the presence of biomass in the chamber on the composting process. The work analyzed the process of the aerobic decomposition of grass, the inoculating fraction and the structure-forming fraction. [...] Read more.
The aim of this work was to analyze the influence of thermal conditions and the presence of biomass in the chamber on the composting process. The work analyzed the process of the aerobic decomposition of grass, the inoculating fraction and the structure-forming fraction. The analysis covered the batch composting process using veterinary biomass in the treatment chamber. Observations of the process included the following: determining the rate of mineralization, process temperatures, pH, process gas concentrations, chemical composition, physical properties of the compost, and the maturity of the compost. In all analyzed samples, the composting process works correctly in terms of thermal parameters; the obtained fresh compost, after the thermophilic phase has ended, requires action be taken with reference to the values of the seed generation index and the respiration activity (AT4) parameter. After the thermophilic phase, after 60 days of composting, it was noted that for P1 (Probe 1) and P2 (Probe 2) mixtures, the seed germination level decreased below 10%. The AT4 parameter for the P1 and P2 compost samples was between 29.8 and 26.2 mg O2∙g−1. The improvement of the germination level to values in the 30% to 40% range for the maturing compost samples was caused by the thermal conversion of biomass with the regulation of air and water conditions. The phytotoxicity of the compost was overcome, while an improvement in the value of the AT4 index was achieved. Full article
(This article belongs to the Collection Energy-Efficient Chemistry)
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<p>Samples used for testing: (<b>a</b>) grass, (<b>b</b>) straw, (<b>c</b>) mature compost. Author: Mariusz Adamski.</p>
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<p>Propagator (<b>a</b>) and propagator operation diagram (<b>b</b>). Author: Mariusz Adamski.</p>
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<p>Research scheme.</p>
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<p>Temperature of the process in the first 30 days: P1—experiment no. 1, P2—experiment no. 2, TPL—thermophilic phase limit (source: own elaboration).</p>
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<p>Process temperature from day 31 to 60: P1—experiment no. 1, P2—experiment no. 2, TPL—thermophilic phase limit (source: own elaboration).</p>
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<p>Process temperature from day 1 to 30: P1—experiment no. 1, P2—experiment no. 2, TOP1—ambient temperature P1, ATP2—ambient temperature P2 (source: own elaboration).</p>
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<p>Process temperature from day 31 to 60: P1—experiment no. 1, P2—experiment no. 2, TOP1—ambient temperature P1, ATP2—ambient temperature P2 (source: own elaboration).</p>
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<p>Carbon dioxide emissions in the first 30 days of the process (source: own elaboration).</p>
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<p>Carbon dioxide emissions from the 31st to the 60th day of the process (source: own elaboration).</p>
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<p>Ammonia emissions in the first 30 days of the process (source: own elaboration).</p>
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<p>Ammonia emissions from the 31st to the 60th day of the process (source: own elaboration).</p>
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<p>Seed germination rate testing in accordance with HKORC recommendations from 2021 (<b>a</b>) control, (<b>b</b>) sample P2 (Author: Mariusz Adamski).</p>
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<p>Seed germination rate from day 40 to day 70 of the process (Author: Mariusz Adamski).</p>
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13 pages, 2658 KiB  
Article
Role of Bioavailability in Compost Maturity During Aerobic Composting of Chicken Manure
by Jiahuan Tang, Shuqun Zhang, Guannan Zheng, Zhuoya Han, Dingmei Wang and Hao Lin
Sustainability 2024, 16(24), 11122; https://doi.org/10.3390/su162411122 - 18 Dec 2024
Viewed by 328
Abstract
To evaluate the effects of the type and proportion of bulking agents on compost maturity, chicken manure feedstock (J) was selected as the main raw material for aerobic composting, and wood chips (M), straw (S), and cornmeal (Y) were used as bulking agents. [...] Read more.
To evaluate the effects of the type and proportion of bulking agents on compost maturity, chicken manure feedstock (J) was selected as the main raw material for aerobic composting, and wood chips (M), straw (S), and cornmeal (Y) were used as bulking agents. The ratios of chicken manure feedstock to the three bulking agents were set at 1:3, 1:1, and 3:1, respectively. The compost mixture composed of wood chips (M) and feedstock (J) in a 1:1 ratio exhibited the highest temperature (75 °C). The treatment with a bulking-agent-to-feedstock ratio of 3:1 exhibited the lowest temperature (52 °C) and the longest high-temperature period (about 10 days). Moreover, the compost mixture composed of wood chips (M) and feedstock (J) in a 3:1 ratio exhibited the highest seed germination index (1.32), while the GI values for all cornmeal treatments did not meet the standard requirements (0.4). The predominant microorganisms in all three treatments included Firmicutes, Bacteroidetes, Actinobacteria, and Proteobacteria. The total carbon transformation-related microorganism abundance in MJ31, SJ31, and YJ31 was 1.65%, 10.69%, and 3%, respectively. Further analysis showed that the bioavailability of feedstock was strongly correlated with compost maturity. The treatment with a bulking-agent-to-feedstock ratio of 3:1, with the highest GI, also exhibited the highest bioavailability. These results can guide the selection of the appropriate bulking agent and the optimal bulking-agent-to-feedstock ratio, offering a new direction for the optimization of the composting process. Full article
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<p>Basic physicochemical properties of raw materials before composting. (<b>A</b>) Carbon source concentration with different degrees of degradation (RCP and LCP); (<b>B</b>) degradable carbon source concentration (LCP1 and LCP2); (<b>C</b>) nitrogen source concentrations with different degrees of degradation (RNP and LNP); (<b>D</b>) degradable carbon source concentration (LCP1 and LCP2); (<b>E</b>) different amounts of water content in raw materials; (<b>F</b>) relative density of raw materials.</p>
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<p>Dynamic changes in physicochemical indexes during composting (<b>A</b>–<b>C</b>); temperature; (<b>D</b>–<b>F</b>) moisture content; (<b>G</b>–<b>I</b>) total-carbon-to-total-nitrogen ratio (C/N).</p>
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<p>(<b>A</b>–<b>I</b>) Three-dimensional fluorescence spectroscopy of the different samples at the end of composting and (<b>J</b>–<b>L</b>) the germination index (GI) during composting.</p>
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<p>The relative abundance changes in the top 20 bacterial communities related to genus-level carbon source metabolism on the 3rd and 50th days of composting. (<b>A</b>) The material ratio between the bulk agent and the chicken manual was 1 to 3. (<b>B</b>) The material ratio between the bulk agent and the chicken manual was 1 to 1. (<b>C</b>) The material ratio between the bulk agent and the chicken manual was 3 to 1.</p>
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<p>The Mantel test was used to analyze the correlation between the density, moisture content, and carbon and nitrogen sources of compost raw materials and key physicochemical properties and microorganisms. (<b>A</b>) The material ratio between the bulking agent and chicken manure was 1 to 3. (<b>B</b>) The material ratio between the bulking agent and chicken manure was 1 to 1. (<b>C</b>) The material ratio between the bulking agent and chicken manure was 3 to 1. (<b>D</b>) The co-occurrence networks among all treatments.</p>
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12 pages, 1897 KiB  
Article
Impact of Biochar Aging on Soil Physicochemical Properties
by Tamara Apostolović, Arthur Gross, Álvaro Fernando García Rodríguez, José María de la Rosa, Bruno Glaser, Heike Knicker and Snežana Maletić
Agronomy 2024, 14(12), 3007; https://doi.org/10.3390/agronomy14123007 - 18 Dec 2024
Viewed by 364
Abstract
Biochar undergoes significant transformations in soil as a result of chemical, physical, and biological processes. These alterations can impact its initial properties, influencing both its agronomic effectiveness and its capacity for carbon sequestration. Long-term observations of biochar-aging effects in soil are limited but [...] Read more.
Biochar undergoes significant transformations in soil as a result of chemical, physical, and biological processes. These alterations can impact its initial properties, influencing both its agronomic effectiveness and its capacity for carbon sequestration. Long-term observations of biochar-aging effects in soil are limited but highly relevant, as they provide a more realistic picture of the agronomic and societal benefits of biochar than short-term studies with relatively “fresh” biochar. This study aimed to describe the aging effects of biochar and their impact on a range of soil properties at a long-term biochar experiment in Bayreuth, Germany. For this purpose, soil and biochar samples were taken 13 years after application (two variants: 1. co-composted and 2. pristine biochar) and compared with a fresh variant in which the same unaged biochar was freshly mixed with the control soil. The soil quality parameters, pH and electrical conductivity, decreased significantly (p < 0.05) during biochar aging. Specifically, the pH dropped from 7.4 in freshly biochar-amended soil to 6.8 in the pristine aged biochar variant and 6.9 in the co-composted aged biochar variant. Electrical conductivity decreased from 217.0 µS cm−1 in the freshly amended soil to 81.1 µS cm−1 in the pristine aged variant and 87.6 µS cm−1 in the co-composted aged variant. Nitrogen retention was enhanced in the soil amended with co-composted aged biochar compared to the pristine aged biochar soil. Total nitrogen (TN) was higher at 1.94 g kg−1 versus 1.57 g kg−1 (p < 0.05), and ammonium-N (NH₄+-N) was slightly elevated at 35.7 mg kg−1 versus 33.0 mg kg−1, although the difference was not statistically significant. The nitrate-N (NO₃-N) content was significantly lower in all biochar-amended soil variants compared to the control soil. Total carbon (TC) levels decreased during biochar aging in all soil variants. However, the reduction was significantly lower in the co-composted aged biochar soil (25.0 g kg−1) compared to the pristine aged biochar soil (20.5 g kg−1, p < 0.05). This study identified multiple aging effects on biochar following 13 years of exposure in loamy soil. Importantly, the results showed that compared to the amendment of pristine biochar, co-composting did not diminish the TC of the treated soil, and more N could be retained, 13 years after amendment. In fact, co-composting prior to soil application is recommended to fully realize the potential agronomic benefits. Full article
(This article belongs to the Section Farming Sustainability)
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<p>Soil and biochar pH (<b>left</b>) and electric conductivity (EC) values (<b>right</b>) of the different treatments (Control_S is the control soil; A_BC_S is the aged biochar-amended soil; F_BC_S is the fresh biochar-amended soil; CC_BC_S is the co-composted biochar-amended soil; F_BC is fresh biochar, stored and sealed for 13 years). Each bar represents the mean of three replicates. Error bars indicate the standard deviation. Asterisks indicate the level of significance (* <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001). Different letters indicate significant differences between the treatments.</p>
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<p>Soil organic matter (SOM), total carbon (TC), and total N content of the four different treatments (Control_S is the control soil, A_BC_S is the aged biochar-treated soil, F_BC_S is the fresh biochar-treated soil, CC_BC_S is the co-composted biochar-treated soil). Each bar represents the mean of three replicates. Error bars indicate the standard deviation. Asterisks indicate the level of significance (** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001). Different letters indicate significant differences between the treatments.</p>
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<p>Nitrate-N (NO₃<sup>−</sup>-N) and ammonium-N (NH₄<sup>+</sup>-N) content of the four different treatments (Control_S is the control soil, A_BC_S is the aged biochar-treated soil, F_BC_S is the fresh biochar-treated soil, CC_BC_S is the co-composted biochar-treated soil). Each bar represents the mean of three replicates. Error bars indicate the standard deviation. Asterisks indicate the level of significance (*** <span class="html-italic">p</span> &lt; 0.001). Different letters indicate significant differences between the treatments.</p>
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<p>Soluble P and total P content of the four different treatments (Control_S is the control soil, A_BC_S is the aged biochar-treated soil, F_BC_S is the fresh biochar-treated soil, CC_BC_S is the co-composted biochar-treated soil). Each bar represents the mean of three replicates. Error bars indicate the standard deviation.</p>
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<p>Statistical analysis (<b>a</b>) principal component analysis (PCA) biplot and (<b>b</b>) Pearson’s correlation of the soil properties (pH, electrical conductivity (EC), water holding capacity (WHC), soil organic matter (SOM), total carbon (TC), total nitrogen (TN), available inorganic nitrogen in nitrate (NO<sub>3</sub><sup>-</sup>-N) and ammonium (NH<sub>4</sub><sup>+</sup>-N) forms, total phosphorus (Total P), soluble phosphorus (Soluble P), specific surface area (SSA), pore radius and total pore volume) obtained for the four different treatments (Control_S is the control soil, A_BC_S is the aged biochar-treated soil, F_BC_S is the fresh biochar-treated soil, CC_BC_S is the co-composted biochar-treated soil). Correlations with a <span class="html-italic">p</span> &lt; 0.05 are boxed in the Pearson’s correlation graph.</p>
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14 pages, 3296 KiB  
Article
Improving the Methods of Solid Domestic Waste Disposal to Reduce Its Human Impact on the Environment
by Bekzat Baibatyrova, Ayaulym Tileuberdi, Meiram Begentayev, Erzhan Kuldeyev, Ruslan Nyrlybayev, Zhaksylyk Altybayev, Bakhytzhan Sarsenbayev, Aisulu Abduova and Gaukhar Sauganova
Sustainability 2024, 16(24), 11071; https://doi.org/10.3390/su162411071 - 17 Dec 2024
Viewed by 431
Abstract
Kazakhstan is embarking on a fresh approach to managing waste, aiming to recycle and repurpose solid household waste while integrating innovative, eco-friendly technologies for its treatment and disposal. The main goal is to reduce the amount of waste sent to landfills and instead [...] Read more.
Kazakhstan is embarking on a fresh approach to managing waste, aiming to recycle and repurpose solid household waste while integrating innovative, eco-friendly technologies for its treatment and disposal. The main goal is to reduce the amount of waste sent to landfills and instead convert it into more stable forms, lessening its harmful impact on the environment. This effort requires a comprehensive strategy, especially as existing landfills still need to be managed and rehabilitated when they reach capacity. It is essential to use municipal solid waste as a resource for producing various goods, which not only helps in landfill management but also aligns with principles of sustainability. This approach aligns with circular economic principles and helps to reduce the technological impact of landfills on the surrounding environment. The main types of waste in the Aktas landfill were identified as a result of this research: it is glass, of which only 3% is recycled. In our results, the setup allowed for the extraction of valuable components from the fine fraction, which can then be recycled. This enriches the organic material ready for composting (organo-mineral raw material mixture) with food waste. Full article
(This article belongs to the Section Soil Conservation and Sustainability)
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<p>Map of the facility (6001—activities related to loading and unloading (such as refilling and compaction); 6002—management of solid-waste landfill (storage of garbage); 6003—transportation by motor vehicles).</p>
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<p>Morphological composition of SHW and separated fraction 0–80 mm.</p>
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<p>Fine fraction of SHW (0–80 mm).</p>
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<p>Flowchart for processing SHW fine fraction: (<b>a</b>) before modernization; (<b>b</b>) after modernization (OMSS—organo-mineral raw material mixture).</p>
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<p>Composting ridges.</p>
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<p>The aeration process of composting ridges facilitated by a turning machine.</p>
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<p>Technogenic soil.</p>
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17 pages, 3872 KiB  
Article
Impact of Land Use Types on Soil Physico-Chemical Properties, Microbial Communities, and Their Fungistatic Effects
by Giuseppina Iacomino, Mohamed Idbella, Salvatore Gaglione, Ahmed M. Abd-ElGawad and Giuliano Bonanomi
Soil Syst. 2024, 8(4), 131; https://doi.org/10.3390/soilsystems8040131 - 16 Dec 2024
Viewed by 642
Abstract
Soilborne plant pathogens significantly impact agroecosystem productivity, emphasizing the need for effective control methods to ensure sustainable agriculture. Soil fungistasis, the soil’s ability to inhibit fungal spore germination under optimal conditions, is pivotal for biological control. This study explores soil fungistasis variability across [...] Read more.
Soilborne plant pathogens significantly impact agroecosystem productivity, emphasizing the need for effective control methods to ensure sustainable agriculture. Soil fungistasis, the soil’s ability to inhibit fungal spore germination under optimal conditions, is pivotal for biological control. This study explores soil fungistasis variability across land-use intensities, spanning deciduous and evergreen forests, grasslands, shrublands, and horticultural cultivations in both open fields and greenhouses. Soil characterization encompassed organic matter, pH, total nitrogen, C/N ratio, key cations (Ca2+, Mg2+, K+, Na+), enzymatic activities, microbial biomass, and soil microbiota analyzed through high-throughput sequencing of 16s rRNA genes. Fungistasis was evaluated against the pathogenic fungi Botrytis cinerea and the beneficial microbe Trichoderma harzianum. Fungistasis exhibited similar trends across the two fungi. Specifically, the application of glucose to soil temporarily annulled soil fungistasis for both B. cinerea and T. harzianum. In fact, a substantial fungal growth, i.e., fungistasis relief, was observed immediately (48 h) after the pulse application with glucose. In all cases, the fungistasis relief was proportional to the glucose application rate, i.e., fungal growth was higher when the concentration of glucose was higher. However, the intensity of fungistasis relief largely varied across soil types. Our principal component analysis (PCA) demonstrated that the growth of both Trichoderma and Botrytis fungi was positively and significantly correlated with organic carbon content, total nitrogen, iron, magnesium, calcium, and sodium while negatively correlated with fluorescein diacetate (FDA) hydrolysis. Additionally, bacterial diversity and composition across different ecosystems exhibited a positive correlation with FDA hydrolysis and a negative correlation with phosphoric anhydride and soil pH. Analysis of bacterial microbiomes revealed significant differences along the land use intensity gradient, with higher fungistasis in soils dominated by Pseudoarthrobacter. Soils under intensive horticultural cultivation exhibited a prevalence of Acidobacteria and Cyanobacteria, along with reduced fungistasis. This study sheds light on soil fungistasis variability in diverse ecosystems, underscoring the roles of soil texture rather than soil organic matter and microbial biomass to explain the variability of fungistasis across landscapes. Full article
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<p>Images of the selected ecosystems across a climatic and land use intensity gradient in terms of organic amendment input, synthetic fertilizers, and pesticide application in the Campania Region (Southern Italy). All pictures by Giuliano Bonanomi.</p>
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<p>Box plots illustrating the variation in species richness (<b>A</b>) and the Shannon diversity index (<b>B</b>) for bacterial communities across the ecosystem soils. The boxes represent the interquartile range (IQR), with the lower and upper bounds indicating the 25th and 75th percentiles, respectively. The horizontal line within each box marks the median, while the whiskers extend to the range of data within 1.5 times the IQR. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05). (<b>C</b>) Non-metric multidimensional scaling (NMDS) plots depict bacterial community composition in the different soils. The MDS axis1 and MDS axis2 correspond to the two axes of the two-dimensional ordination space, with each point representing a replicate sample. The stress level, shown on each plot, indicates how well the distances between objects are preserved (values closer to 0 indicate a better representation of the data in the ordination space). The <span class="html-italic">p</span>- and F-values represent the results of the PERMANOVA test conducted with 999 permutations on the bacterial data. (<b>D</b>) Bar charts display the relative abundance of bacterial phyla in the different soils.</p>
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<p>Heatmap showing the relative abundance of the 100 most frequent Amplicon Sequence Variants in the bacterial community in the soil of each ecosystem. The grouping of variables is based on Whittaker’s association index.</p>
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<p>Fungal growth of <span class="html-italic">B. cinerea</span> conidia (expressed as a percentage compared to the control (0%)) on soil watery extracts from the selected ecosystems during a 168 h incubation period that followed a single application of glucose at four application rates (0.10%, 0.30%, 1%, and 3%). Values are averages ± standard deviation.</p>
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<p>Fungal growth of <span class="html-italic">T. harzianum</span> conidia (expressed as a percentage compared to the control (0%)) on soil watery extracts from the selected ecosystems during a 168 h incubation period that followed a single application of glucose at four application rates (0.10%, 0.30%, 1%, and 3%). Values are averages ± standard deviation.</p>
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<p>Principal component analysis (PCA) based on soil physico-chemical characteristics (<b>A</b>) and SIMPER resulting taxa (<b>B</b>) as variables. Microbial biomass, fungal growth, and bacterial diversity and composition were fitted as factors with significance &lt;0.05 onto the ordination.</p>
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17 pages, 2748 KiB  
Article
Exploring the Influence of Biochar-Supported Nano-Iron Oxide on Phosphorus Speciation Transformation and Bacterial Community Structure in Aerobic Pig Manure Composting Processes
by Ning Yuan, Kang Wang, Mengyue Liang, Jia Zhou and Rui Yu
Microorganisms 2024, 12(12), 2593; https://doi.org/10.3390/microorganisms12122593 - 14 Dec 2024
Viewed by 532
Abstract
Existing studies have demonstrated the positive effects of nano-sized iron oxide on compost maturity, yet the impact of nano-sized iron oxide on phosphorus speciation and bacterial communities during the composting process remains unclear. In this study, pig manure and straw were used as [...] Read more.
Existing studies have demonstrated the positive effects of nano-sized iron oxide on compost maturity, yet the impact of nano-sized iron oxide on phosphorus speciation and bacterial communities during the composting process remains unclear. In this study, pig manure and straw were used as raw materials, with biochar-supported nano-sized iron oxide (BC-Fe3O4NPs) as an additive and calcium peroxide (CaO2) as a co-agent, to conduct an aerobic composting experiment with pig manure. Four treatments were tested: CK (control), F1 (1% BC-Fe3O4NPs), F2 (5% BC-Fe3O4NPs), and F3 (5% BC-Fe3O4NPs + 5% CaO2). Key findings include the following. (1) BC-Fe3O4NPs increased compost temperatures, with F3 reaching 61℃; F1 showed optimal maturity (C/N ratio: 12.90). (2) BC-Fe3O4NPs promoted stable phosphorus forms; Residual-P proportions were higher in F1, F2, and F3 (25.81%, 51.16%, 51.68%) than CK (19.32%). (3) Bacterial phyla Firmicutes, Actinobacteria, and Proteobacteria dominated. BC-Fe3O4NPs altered community composition, especially on day 7. Firmicutes dominated CK, F1, and F3; Proteobacteria dominated F2. At the genus level, day 7 showed Corynebacterium (CK), Clostridum (F1, F3), and Caldibacillus (F2) as predominant. (4) Pearson correlation analysis revealed shifted correlations between phosphorus forms and bacterial phyla after BC-Fe3O4NPs addition. Firmicutes positively correlated with NaOH-OP in F1 during the thermophilic phase, facilitating phosphate release and adsorption by BC-Fe3O4NPs. The significance of correlations diminished with increasing additive concentration; in F3, all phyla positively correlated with various phosphorus forms. Full article
(This article belongs to the Section Microbial Biotechnology)
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<p>SEM images of BC (<b>a</b>) and BC-Fe<sub>3</sub>O<sub>4</sub>NPs (<b>b</b>).</p>
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<p>Mapping of BC-Fe<sub>3</sub>O<sub>4</sub>NPs.</p>
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<p>Changes in physical and chemical properties of compost in different periods. Note: (<b>a</b>) Temperature, (<b>b</b>) pH, (<b>c</b>) Electrical Conductivity (EC), (<b>d</b>) Carbon to Nitrogen Ratio (C/N), (<b>e</b>) Germination Index and (<b>f</b>) Total Phosphorus.CK: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 0%; F1: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 1%; F2: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 5%; F3: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 5% + CaO<sub>2</sub> 5%.</p>
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<p>Changes of phosphorus components. Note: (<b>a</b>) CK: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 0%; (<b>b</b>) F1: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 1%; (<b>c</b>) F2: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 5%;(<b>d</b>) F3: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 5% + CaO<sub>2</sub> 5%.</p>
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<p>Changes of bacterial communities at phyla (<b>a</b>) and genus (<b>b</b>) levels during composting. Note: CK: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 0%; F1: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 1%; F2: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 5%; F3: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 5% + CaO<sub>2</sub> 5%. 0, 7, 28, and 50 represent the composting time points.</p>
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<p>NMDS analysis of metagenomic sequencing data for each process. Note: CK: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 0%; F1: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 1%; F2: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 5%; F3: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 5% + CaO<sub>2</sub> 5%. 0, 7, 28, and 50 represent the composting time points.</p>
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<p>Correlation between the top 10 relative abundances of bacterial phyla and phosphorus speciation at the phylum level. Note: CK: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 0%; F1: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 1%; F2: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 5%; F3: BC-Fe<sub>3</sub>O<sub>4</sub>NPs 5% + CaO<sub>2</sub> 5%. IP and OP denote the inorganic and organic forms of phosphorus, respectively. H<sub>2</sub>O-IP and H<sub>2</sub>O-OP represent the phosphorus fractions extracted using H<sub>2</sub>O, while NaHCO<sub>3</sub>-IP and NaHCO<sub>3</sub>-OP signify the phosphorus fractions extracted with NaHCO<sub>3</sub>. Similarly, NaOH-IP and NaOH-OP indicate the phosphorus forms obtained through NaOH extraction, and HCl-IP and HCl-OP represent those extracted using HCl. Lastly, Residual-P refers to the phosphorus remaining in its residual form. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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19 pages, 6825 KiB  
Article
Influence of Effective Microbial Additives Inoculation on Indigenous Bacterial Community Dynamics and Co-Occurrence Patterns During the Composting of Mixed Food Waste and Livestock Manure
by Donggyu Bang, Woojin Chung and Soonwoong Chang
Agronomy 2024, 14(12), 2973; https://doi.org/10.3390/agronomy14122973 - 13 Dec 2024
Viewed by 388
Abstract
Sustainable management of organic waste, such as food waste (FW) and livestock manure (LS), is essential for reducing pollution and promoting resource recycling. This study investigated the effects of Bacillus sp. inoculation and biochar addition on composting efficiency, microbial dynamics, and physicochemical properties. [...] Read more.
Sustainable management of organic waste, such as food waste (FW) and livestock manure (LS), is essential for reducing pollution and promoting resource recycling. This study investigated the effects of Bacillus sp. inoculation and biochar addition on composting efficiency, microbial dynamics, and physicochemical properties. Bacillus sp. accelerated the breakdown of cellulose and lignin, reduced moisture content, stabilized pH, and mitigated ammonia volatilization. Biochar reduced ammonia emissions by 17.04%, increasing to 28.89% with Bacillus sp. Next-generation sequencing revealed Bacillus sp. enhanced microbial diversity, suppressed pathogens, and promoted beneficial microbial interactions. LS treatments retained Firmicutes dominance (up to 95.17%), improving nitrogen retention, while FW treatments transitioned to Proteobacteria and Bacteroidota, driving plant material decomposition. By day 35, Bacillus sp. increased late-stage microbial taxa (Deinococcota, Myxococcota), linked to cellulose degradation and pathogen suppression. In FW biochar compost (FWBC), Planococcaceae and Bacillaceae synergistically decomposed complex organic matter. LS biochar compost (LSBC) reduced anaerobic families like Clostridiaceae and Peptostreptococcaceae, lowering methane and hydrogen sulfide emissions. Microbial network analysis highlighted improved cooperation under Bacillus sp., with LSBC sustaining positive interactions at higher dosages. These results demonstrate that microbial inoculants and biochar enhance composting efficiency, nutrient cycling, and environmental sustainability. Full article
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<p>Composting equipment design (<b>a</b>) and process diagram (<b>b</b>).</p>
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<p>Effects of different treatments on gas emission profiles. (<b>a</b>) Changes in temperature (°C), (<b>b</b>) NH<sub>3</sub> (ppm), (<b>c</b>) CO<sub>2</sub> (ppm), gas emission profiles, and (<b>d</b>) NH<sub>3</sub> reduction efficiency during the composting process (%).</p>
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<p>Taxonomic analysis of compost. (<b>a</b>) Phylum-level taxonomic analysis and (<b>b</b>) class-level taxonomic analysis.</p>
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<p>Dynamics of microbial communities in compost. (<b>a</b>) Heatmap comparison analysis of core bacteria in composts from different treatments and processes at the order-level, (<b>c</b>) linear discriminant analysis effect size (LEfSe) based on operational taxonomic units was used to differentiate between FW and LS group (<span class="html-italic">p</span>-value ≤ 0.1, Log LDA score ≥ 2.0). Heat tree analysis based on bacterial taxonomic differences across composting feedstock composition (<b>b</b>) and duration (<b>d</b>).</p>
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<p>Meta-analysis to identify (<b>a</b>) core bacteria and (<b>b</b>) co-occurrence patterns with associated microbial communities in food waste treatment compost.</p>
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<p>Meta-analysis to identify (<b>a</b>) core bacteria and (<b>b</b>) co-occurrence patterns with associated microbial communities in livestock treatment compost.</p>
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<p>Microbial co-occurrence network of (<b>a</b>) FWBC, (<b>b</b>) FWBC_R, (<b>c</b>) FWBC_2R, and (<b>d</b>) network structure analysis with eigenvector centrality, (<b>e</b>) betweenness centrality, (<b>f</b>) closeness centrality, and (<b>g</b>) harmonic centrality metrics.</p>
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<p>Microbial co-occurrence network of (<b>a</b>) LSBC, (<b>b</b>) LSBC_R, (<b>c</b>) LSBC_2R, and (<b>d</b>) network structure analysis with eigenvector centrality, (<b>e</b>) betweenness centrality, (<b>f</b>) closeness centrality, and (<b>g</b>) harmonic centrality metrics.</p>
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12 pages, 1780 KiB  
Article
Do Not Throw Pet Faeces Away: Composted Manures Obtained from Dog and Cat Faeces Contain High Nutrients and Effectively Cultivate Plants
by Suwit Wuthisuthimethavee, Jindarha Prempramote, Worakan Boonhoh, Athakorn Promwee, Orachun Hayakijkosol and Tuempong Wongtawan
Recycling 2024, 9(6), 123; https://doi.org/10.3390/recycling9060123 - 12 Dec 2024
Viewed by 762
Abstract
Dog and cat faeces are a globally neglected issue that demands proper management. The poor handling of pet waste not only impacts environmental health but also contributes to community conflicts due to insufficient waste management practices. The objectives were to investigate the properties [...] Read more.
Dog and cat faeces are a globally neglected issue that demands proper management. The poor handling of pet waste not only impacts environmental health but also contributes to community conflicts due to insufficient waste management practices. The objectives were to investigate the properties of pet wastes compared to livestock wastes (pigs, hens, and cattle) with the intention of formulating an efficient compost product suitable for agricultural applications. Faeces from dogs and cats were collected from the community, while faeces from livestock (pigs, cattle, and hens) were collected from farms. Faeces were mixed with probiotics, rice bran, and rice husk to make compost and used to grow sweet corn plants. The nutrient content was compared between fresh and composted faeces. Composted manure from different animal sources was compared for its effectiveness in promoting sweet corn growth. The results showed that fresh and composted dog and cat manures contained higher levels of nutrients (p < 0.05) compared to livestock manures. Additionally, composted pet manure accelerated (p < 0.05) the growth of the plants compared to composted livestock manures and control groups. This is the first study to conclude that composted pet faeces surpass livestock manure in their higher nutrients and enhance plant growth. The findings could help reduce pet waste and transform it into a valuable recycled resource. However, the safety of composted manure, especially concerning toxoplasmosis from cat faeces, remains a significant concern and requires further investigation. Full article
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Figure 1
<p>Colour of control (rice bran and rice husk), fresh manures from dogs, cats, pigs, cows, and hens mixed with rice bran and rice husk (day 0), and composted manure on day 14.</p>
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<p>Temperature change during composting process.</p>
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<p>Growth of sweet corn after treatment with different composts including control 1 (soil only), control 2 (rice brand and husk compost), composted dog manure, composted cattle manure, composted pig manure, composted cat manure, and composted hen manure.</p>
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