Waste Disposal & Sustainable Energy最新文献

{"title":"Remediation of arsenic-contaminated water: high effectiveness of modified biochars from legal amazon residues","authors":"Mariana de Souza Borges,&nbsp;Magale Karine Diel Rambo,&nbsp;Fabio Andrei Duarte,&nbsp;Robert Alan Burrow,&nbsp;Elisandra Scapin","doi":"10.1007/s42768-025-00235-4","DOIUrl":"10.1007/s42768-025-00235-4","url":null,"abstract":"<div><p>Arsenic contamination in water poses a significant global health risk, especially in regions with mining activities, such as the Legal Amazon. This study investigated the efficacy of iron-impregnated biochar, derived from three abundant fruit wastes native to the Legal Amazon region (baru, cupuaçu, and pequi), in removing As(V) from water. The biochars were characterized by techniques including elemental analysis, Brunauer–Emmett–Teller (BET) surface area determination, Fourier transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM). The results indicate that iron impregnation significantly modified the surface properties of the biochar, leading to an increase in surface area and the introduction of new functional groups. A response surface methodology, employing a central composite design (CCD), was utilized to optimize the adsorption process by varying the biochar dosage (g L⁻¹), the initial concentration of As(V) (µg L⁻¹), and the pH. The findings demonstrate that all three iron-modified biochars exhibit high arsenic removal efficiencies, exceeding 90% under all tested conditions. The optimal conditions for each biochar varied, suggesting that the unique surface chemistry and porosity resulting from the different biomass sources play critical roles in the adsorption performance. Furthermore, a comparative analysis revealed the differences in adsorption capacities among the biochars, with the Cupuaçu shell biochar showing the highest efficiency. Overall, these results highlight the potential of utilizing readily available fruit waste to develop sustainable and effective adsorbents for arsenic remediation. The FeCl₃ impregnation method proved simple yet effective, showing a particular promise for applications in resource-limited communities.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":807,"journal":{"name":"Waste Disposal & Sustainable Energy","volume":"7 3","pages":"381 - 391"},"PeriodicalIF":0.0,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145078841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence in sustainable organic waste treatment: a review","authors":"Dharshika Sugumaran,&nbsp;Madushan D. Udakandage,&nbsp;Sanduni P. Kodippili,&nbsp;Maleesha M. De Alwis,&nbsp;Danushika L. Attigala,&nbsp;Neeliya N. Ranasinghe,&nbsp;Danushika C. Manatunga,&nbsp;Rohan S. Dassanayake,&nbsp;Yang Zhou,&nbsp;Yuanyuan Liu","doi":"10.1007/s42768-025-00246-1","DOIUrl":"10.1007/s42768-025-00246-1","url":null,"abstract":"<div><p>Waste and waste generation are inevitable aspects of human life, especially organic waste, and have evolved with societal and industrial development. Waste generation cannot be entirely prevented, but it can be treated, managed, and minimized through various sustainable practices to mitigate its environmental and health impacts. Current organic waste management techniques include composting, anaerobic digestion, incineration, and hydrothermal treatment. Even though these techniques help to treat and manage organic waste, they face numerous challenges, such as the complexity of organic waste, difficulty in collection and segregation, water pollution, and greenhouse gas (GHG) emissions. Notably, there is an urgent need to reduce and control the large volume of waste generated in a short timeframe. Artificial intelligence (AI)- and machine learning (ML)-based waste management systems have recently been considered for treating organic waste due to their optimized waste collection routes, automatic sorting, efficient recovery, and contaminant reduction. In particular, AI models can facilitate and accelerate the implementation of the circular economy concept, thereby maximizing resource optimization to achieve the United Nations (UN) sustainable development goals (SDGs). The current review summarizes recently published research studies on AI-based technologies and their applications in organic waste treatment and management, including the prediction and monitoring of waste generation, automated waste collection, sorting, classification, bioconversion and treatment process optimization, waste recycling, bin-level monitoring, and vehicle routing. The major prospects and challenges of using AI technology in organic waste treatment, as well as the future directions of AI-based waste management practices, are also discussed. This review also provides exclusive coverage of various types of organic waste, conventional organic waste treatment methods and their limitations, as well as the role of organic waste management in achieving the SDGs.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":807,"journal":{"name":"Waste Disposal & Sustainable Energy","volume":"7 3","pages":"539 - 560"},"PeriodicalIF":0.0,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145078843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plastic waste and residual waste management: a case study of the Pathum Thani dumpsite in Thailand","authors":"Pawan Kumar Srikanth,&nbsp;Suwanna Kitpati Boontanon,&nbsp;Chettiyappan Visvanathan","doi":"10.1007/s42768-025-00245-2","DOIUrl":"10.1007/s42768-025-00245-2","url":null,"abstract":"<div><p>Most developing countries commonly dispose of solid waste fractions in open dumps and landfills. This study analysed the composition of municipal solid waste (MSW) at a dumpsite in Thailand, where plastic waste constituted 35%–62% of excavated waste across different sampling depths. Excavated plastic waste was classified by resin codes, with low-density polyethylene (LDPE) dominating 86% of plastic waste from 2012 to 2014 and decreasing to 43% in 2019. The analysis revealed that unbranded single-layer packaging predominated, with branded plastics increasing from 4% to 6% (2012, 2013, and 2014) to 17% (2019). Dumpsite mining operations at the Pathum Thani site produced approximately 100 t of refuse-derived fuel (RDF) per day, generating revenue of 800–1200 THB per ton. However, the process also generated 40–50 t of residual waste daily, consisting of soil-like material mixed with plastic waste (20% plastics, 35% combustible fractions, and the remaining mainly soil type materials). These residues failed Thai compost standards due to high electrical conductivity (8.2 dS/cm vs. standard ≤3.5 dS/cm) and low germination index (4.43% vs. standard ≥80.00%). Recommendations include adjusting the moisture content of input waste and modifying sieve sizes to improve output quality, with approximately 50% of soil fractions potentially recoverable through screening at &lt;12.5 mm. The study estimates total plastic waste in the dumpsite to be 36559.79 t, with a potential revenue of 35 million THB if fully processed. The implementation of site-specific management studies, promotion of dumpsite mining, reduction of unbranded plastics consumption, and extended producer responsibility (EPR) policies are crucial for achieving circularity of plastic waste fractions.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":807,"journal":{"name":"Waste Disposal & Sustainable Energy","volume":"7 3","pages":"469 - 480"},"PeriodicalIF":0.0,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145078990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploration on using solid waste-derived sulphoaluminate composite as low-cost binder for high-impermeability stabilization of sandy soil","authors":"Shuang Zhang,&nbsp;Jingwei Li,&nbsp;Wenbin Shi,&nbsp;Fawei Lin,&nbsp;Bigaliev Aitkhazha Bigalievich,&nbsp;Eminov Ashraf Mamurovich,&nbsp;Wenlong Wang","doi":"10.1007/s42768-025-00248-z","DOIUrl":"10.1007/s42768-025-00248-z","url":null,"abstract":"<div><p>Large-scale utilization of solid waste is the key challenge in building sustainable infrastructure. Given the high demand for sandy soil stabilizers in subgrades, dams and other infrastructure projects and the high permeability of sandy soil, a sulphoaluminate composite cementitious material (SCCM) was developed by incorporating solid waste-derived sulphoaluminate cementitious material (SAC), desulfurized gypsum, ground granulated blast furnace slag (GGBS), and supplementary industrial byproducts, which can be used as high-permeability stabilizers for sandy soil. The economic and environmental assessment revealed that the carbon emission factor of the SCCM throughout their whole life cycle was 135.8 kg/t. The results revealed that the unconfined compressive strength (UCS) of stabilized sandy soil for 28 d was the highest among all the stabilized sandy soils, and the 28 d immersion stability rate was 72.5%. The 28 d permeability coefficient of sandy soil stabilized by SCCM decreased from 8.7×10⁻⁴ cm/s for natural sandy soil to 5.7×10⁻⁷ cm/s, which was 1–2 orders of magnitude lower than that of SAC and ordinary Portland cement (OPC) stabilized sandy soil. Both scanning electron microscopy (SEM) and X-ray diffraction (XRD) showed the co-existence of ettringite and hydrated calcium silicate gel, and their addition improved the properties of the stabilized sandy soil. The results of the low-field nuclear magnetic resonance (LF-NMR) test revealed that the porosity of the SCCM stabilized sandy soil was lower than that of the SAC stabilized sandy soil and OPC, resulting in a dense structure. This study provides an innovative solution for the utilization of bulk solid waste in stabilizing sandy soil in infrastructure projects.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":807,"journal":{"name":"Waste Disposal & Sustainable Energy","volume":"7 3","pages":"481 - 493"},"PeriodicalIF":0.0,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145078904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solid waste-azo dye degradation closed loop: bridging coal gangue recycling and azo dye removal","authors":"Chunjie Huang,&nbsp;Wenkang Qi,&nbsp;Yutong Yang,&nbsp;Ying Zhang,&nbsp;Jianwen Lu,&nbsp;Qiuxia Ye,&nbsp;Xingyong Xue,&nbsp;Yaocong Han,&nbsp;Qiaoqiao Su,&nbsp;Dongping Wei,&nbsp;Lihong Lan","doi":"10.1007/s42768-025-00247-0","DOIUrl":"10.1007/s42768-025-00247-0","url":null,"abstract":"<div><p>To address the dual challenges of coal gangue utilization and azo dye wastewater treatment, this study developed cobalt-loaded geopolymer microsphere catalysts (Co@CGM) through the resource utilization of coal gangue for peroxymonosulfate (PMS) activation, achieving efficient degradation of azo dyes sunset yellow (SY) and amaranth red (AR). Single-factor experiments demonstrated that Co@CGM exhibited exceptional catalytic performance at ultra-low PMS concentrations (0.25–0.50 mmol/L), achieving degradation efficiencies of 99.38% for SY and 99.91% for AR within 30 min for 100 mL solutions at 50 mg/L concentration. Stability tests revealed that Co@CGM maintained significant PMS activation effectiveness through five degradation cycles, demonstrating strong acid-base resistance (pH=3–9) and excellent anion interference resistance (Cl⁻, NO₃⁻, H₂PO₄⁻, etc.). Quenching experiments and electron paramagnetic resonance spectrometer (EPR) analysis confirmed that singlet oxygen (¹O₂) served as the primary reactive species driving the rapid degradation process in both SY and AR systems. Liquid chromatography-mass spectrometer (LC-MS) analysis identified intermediate products and proposed degradation pathways for both dyes. This work successfully developed an eco-friendly functional material through coal gangue waste recycling, achieving the goal of “treating waste with waste” in azo dye wastewater remediation.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":807,"journal":{"name":"Waste Disposal & Sustainable Energy","volume":"7 3","pages":"353 - 369"},"PeriodicalIF":0.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145078991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance evaluation of a Dracaena plant-based microbial fuel cell utilizing municipal solid waste compost as substrate and stainless steel mesh-supported 3D Cassia Fistula as bioanode","authors":"Kumar Sonu,&nbsp;Zainab Syed,&nbsp;Gurpreet Singh,&nbsp;Manoj Kumar Tiwari,&nbsp;Monika Sogani","doi":"10.1007/s42768-025-00244-3","DOIUrl":"10.1007/s42768-025-00244-3","url":null,"abstract":"<div><p>The increasing demand for sustainable energy solutions has driven research into plant microbial fuel cells (PMFCs) as a renewable bioelectricity sources. This study evaluated the performance of a <i>Dracaena</i> plant-based PMFC utilizing a 3D biomass anode derived from <i>Cassia fistula</i> and varying percentage of municipal solid waste compost (MSWC) to enhance power generation and plant growth. The 3D anode was characterized by scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), Fourier transform infrared spectroscopy (FTIR), and thermogravimetric analysis (TGA), confirming its porous structure, high carbon content, and thermal stability, which facilitate microbial colonization and electron transfer. Electrochemical analysis revealed that the 3D anode exhibited superior charge transfer efficiency compared to the control anode. The highest power density (204 mW/m²) and current density (255 mA/m²) were achieved with 30% compost, indicating an optimal balance between microbial activity and nutrient availability. Additionally, plant growth was significantly enhanced under 20%–30% compost treatments, while excessive compost (&gt;40%) led to a decrease in performance. The results highlight the economic and environmental benefits of integrating biomass-derived electrodes and organic waste in PMFCs. This study demonstrates the feasibility of low-cost and sustainable materials for bioelectricity generation and plant growth enhancement, paving the way for further optimization and large-scale applications.</p><h3>Graphical abstract\u0000</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":807,"journal":{"name":"Waste Disposal & Sustainable Energy","volume":"7 3","pages":"453 - 467"},"PeriodicalIF":0.0,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145078992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recoverable biobased products from agro-food and industrial wastes: implications for wealth and health","authors":"Fetene Fufa Bakare,&nbsp;Tsion Chuni Akililu,&nbsp;Eset Negash Kebebew,&nbsp;Allah Dekama Jara,&nbsp;Hailemariam Gebru,&nbsp;Teshome Taye","doi":"10.1007/s42768-025-00243-4","DOIUrl":"10.1007/s42768-025-00243-4","url":null,"abstract":"<div><p>Wastes can be defined as unwanted materials that are dumped away from several sources. It can be a by-product of home, agricultural, industrial, commercial, mining, and other ventures, sources, or activities. Nowadays such waste materials are not just waste; they are becoming the source of wealth and health. A substantial volume of organic waste, around 1.3 billion tons per year, is identified as a possible source of feedstock for biobased goods. Waste materials are being used for the development of various useful products, such as bioenergy, biomaterials, biotechnology, and so on. Wastes are valuable resources for health and wealth creation, with an emphasis on resources recovered from environmental and agro-food wastes applying via biotechnology. This review focuses on biotechnological applications in waste valorizations and examines the health and economic effects of obtaining resources from agro-food and environmental wastes. According to the quantitative findings, producing biogas from agro-food sector waste can provide between 80 and 150 m³ of biogas for every ton of fresh organic waste, which result in significant energy savings and greenhouse gas mitigation. Furthermore, it has been suggested that converting just 10% of the world’s food waste may result in financial gains of over 100 billion USD in addition to reducing the health hazards related to trash disposal. By demonstrating that the valorization not only generates financial gains through the development of bioplastics and biofertilizers but also improves health outcomes by reducing pollution and improving food safety, the paper highlights the double advantages of waste recovery. Besides, it emphasizes the application of biotechnological methods, showcasing innovative and scientific approaches to resource recovery in which the reviewed findings will be relevant for industry stakeholders and policymakers.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":807,"journal":{"name":"Waste Disposal & Sustainable Energy","volume":"7 3","pages":"521 - 537"},"PeriodicalIF":0.0,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145078846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing anaerobic digestion of waste-activated sludge containing disposable face masks through hydrothermal pretreatment: improving methane production and reducing toxicity","authors":"Ming Liu,&nbsp;Xuezhi Wang,&nbsp;Ting Fan,&nbsp;Xiaoli Zhao","doi":"10.1007/s42768-025-00242-5","DOIUrl":"10.1007/s42768-025-00242-5","url":null,"abstract":"<div><p>Disposable face masks (DFMs), which are essential for mitigating the spread of infectious diseases like SARS-CoV-2, corona virus disease 2019 (COVID-19), Ebola, and tuberculosis, create significant environmental challenges due to improper disposal. DFMs frequently accumulate in waste-activated sludge (WAS), posing potential environmental hazards. Anaerobic digestion (AD) is typically employed to stabilize and recovery resource from WAS; however, the presence of DFMs substantially disrupts the AD process. This study explored the potential of integrating hydrothermal pretreatment (HTT) with AD to maximize methane yield while mitigating the toxicological impact of mask-derived pollutants. The HTT of polypropylene (PP) (primary constituent of masks) or masks was conducted in 100 mL stainless-steel reactors with a mass concentration of 4 g per 40 mL deionized water, heated at 2.5 °C/min to 160 °C for durations of 0.5, 1, and 2 h. HTT increased the surface roughness of PP, induced oxygenated functional groups (–OH and C=O), enhanced the leaching of dissolved organic carbon (DOC), and reduced hydrophobicity and relative crystallinity, effectively addressing the limitations of enzymatic hydrolysis. Compared to untreated masks, cumulative methane production increased by 16.2%, 31.5%, and 20.8% for HTT pretreatment at 160 °C for 0.5, 1, and 2 h, respectively. Microbial community analysis indicated that HTT increased the relative abundance of specific hydrolytic-acidifying (<i>Bacteroidota</i>, <i>Acidobacteria</i>, and <i>Desulfobacterota</i>), and methanogenic bacteria (<i>Methanosaeta</i> and <i>Candidatus_Methanofastidiosum</i>) in AD process. Phytotoxicity tests demonstrated that digestates from AD of HTT mask at 160 °C for 1 h increased germination index of plants by 18.1%. This study shows HTT is a promising method for enhancing AD efficiency and lowering DFMs toxicity.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":807,"journal":{"name":"Waste Disposal & Sustainable Energy","volume":"7 3","pages":"437 - 451"},"PeriodicalIF":0.0,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145078908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of heavy metal zinc and lead concentrations in waste incineration fly ash based on hyperspectral reflectance features","authors":"Wenyuan Wang,&nbsp;Liqiang Zhang,&nbsp;Fei Wang,&nbsp;Wei Xiong,&nbsp;Haibin Cui,&nbsp;Xinrong Wu,&nbsp;Guojun Lv,&nbsp;Lihong Zhang,&nbsp;Qiyu Gao","doi":"10.1007/s42768-025-00236-3","DOIUrl":"10.1007/s42768-025-00236-3","url":null,"abstract":"<div><p>Heavy metal contamination in waste incineration fly ash poses serious environmental and public health risks, necessitating efficient and precise detection methods. Traditional techniques require complex sample preparation and lengthy analysis, limiting their suitability for on-site or real-time monitoring. To address this, this study proposes a rapid detection method using visible and near-infrared reflectance spectroscopy to improve efficiency and reduce costs. Zn (zinc) and Pb (lead) spectral characteristics were analyzed through first-order differentiation (FD), second-order differentiation (SD), de-trending (DT), and logarithm of the reciprocal (LogInv) transformations, followed by continuous wavelet transform (CWT) to extract key bands (max |<i>r</i>|=0.78). A stacking model integrating partial least squares regression (PLSR), back-propagation neural network (BPNN), support vector regression (SVR), random forest (RF), and extreme gradient boosting (XGBoost) was developed to optimize spectral transformation and inversion modeling. Stacking outperformed individual models, achieving the highest accuracy for Zn (<i>R</i>²=0.748) and Pb (<i>R</i>²=0.735) with CWT-SD and CWT-FD transformation. BPNN exhibited overfitting in small samples, whereas PLSR was constrained by linear assumptions. In contrast, stacking combines the strengths of all the base models, improving accuracy and stability. This study elucidates the spectral characteristics of fly ash and validates the effectiveness of stacking in hyperspectral heavy metal prediction. The findings provide theoretical and technical support for efficient, non-destructive detection, with promising applications in waste incineration management and environmental monitoring.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":807,"journal":{"name":"Waste Disposal & Sustainable Energy","volume":"7 2","pages":"165 - 184"},"PeriodicalIF":0.0,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term microbial community dynamics in full-scale dry and wet anaerobic digesters for food waste","authors":"Jinlin Zou,&nbsp;Zhenchao Shi,&nbsp;Wei Peng,&nbsp;Hua Zhang,&nbsp;Fan Lü,&nbsp;Pinjing He","doi":"10.1007/s42768-025-00240-7","DOIUrl":"10.1007/s42768-025-00240-7","url":null,"abstract":"<div><p>This study investigated the long-term microbial community dynamics (nearly 200 d) in four full-scale dry anaerobic digestion (DAD) reactors and two wet anaerobic digestion (WAD) reactors for treating food waste. Compared with WAD, DAD demonstrated significantly higher operational instability under elevated concentrations of volatile fatty acids (VFAs, 8000–15000 mg/L) and total ammonia nitrogen (TAN, 5000–7500 mg/L), particularly during recovery phases following prolonged feeding interruption. 16S rRNA sequencing analysis revealed distinct microbial community structures between the two systems. In DAD, syntrophic acetate oxidation bacteria (SAOB) dominated by the genera <i>Halocella</i> and <i>DTU014</i> was significantly enriched, whereas the bacterial community in WAD was primarily characterized by <i>Defluviitoga</i>. Both systems exhibited hydrogenotrophic methanogenesis (HM) as the dominant pathway, with <i>Methanoculleus</i> being the prevalent archaeal genus in both configurations. Notably, <i>Methanobrevibacter</i> was exclusively detected in DAD. Furthermore, increasing VFA concentrations triggered a structural reorganization of microbial communities in DAD. The relative abundances of <i>Halocella</i> and <i>DTU014</i> decreased markedly under high-VFA stress, whereas <i>Methanobrevibacter</i> abundance was positively correlated with VFA accumulation. These findings highlight system-specific microbial resilience mechanisms and provide critical insights into VFA-driven community dynamics in anaerobic digestion systems. The results have practical implications for optimizing process stability and methane recovery efficiency in DAD, particularly under high organic loading or feedstock variability conditions.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":807,"journal":{"name":"Waste Disposal & Sustainable Energy","volume":"7 3","pages":"393 - 407"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145078906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}