Waste management最新文献

{"title":"FDA-hydrolysis activity: A pre-screening tool for optimizing compost selection in standardized plastic biodegradation testing","authors":"Hyuni Jung ,&nbsp;Sohyeon Park ,&nbsp;Seul-A Park ,&nbsp;Hyeri Kim ,&nbsp;Minkyung Lee ,&nbsp;Cheol Hun Park ,&nbsp;Jonggeon Jegal ,&nbsp;Giyoung Shin ,&nbsp;Hyo Jeong Kim","doi":"10.1016/j.wasman.2025.114907","DOIUrl":"10.1016/j.wasman.2025.114907","url":null,"abstract":"<div><div>Current ISO 14855–1 standards for assessing plastic biodegradability under composting conditions rely on physicochemical parameters, such as pH and volatile solids, to select compost inocula. However, these indicators do not directly reflect microbial activity, which is central to biodegradation processes. This study proposes fluorescein diacetate hydrolase (FDA-H) activity as a rapid, integrative biological indicator to pre-screen composts before standardized biodegradation testing. FDA-H activity was measured in five composts and showed a strong correlation with early CO₂ evolution (r = 0.93), reflecting initial microbial metabolic potential. Moderate correlations were also observed with final biodegradation rates of cellulose and polybutylene succinate (PBS), suggesting that microbial community shifts and substrate-specific adaptation influence long-term outcomes. Metagenomic analysis supported this by revealing distinct microbial succession patterns during degradation, especially for synthetic polymers. We also compared FDA-H with standardized microbial activity assays, including respiration and dehydrogenase activity. Unlike these methods, FDA-H captures extracellular hydrolytic enzyme activity relevant to polymer breakdown and offers advantages in speed and operational simplicity. While FDA-H does not replace ISO/OECD biodegradation standards, it complements them by providing early-stage insight into compost suitability. Integrating FDA-H into existing testing frameworks could enhance the reliability, efficiency, and biological relevance of compost selection, ultimately improving standardized biodegradation assessments.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"204 ","pages":"Article 114907"},"PeriodicalIF":7.1,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmentally friendly and economic method for recovery of metals from spent lithium-ion batteries using ethylenediaminetetraacetic acid disodium salt and citric acid","authors":"Zhala Ali-Zada ,&nbsp;İ.Ayhan Şengil ,&nbsp;Ahmet Alp","doi":"10.1016/j.wasman.2025.114896","DOIUrl":"10.1016/j.wasman.2025.114896","url":null,"abstract":"<div><div>The recovery of lithium (Li), cobalt (Co), and nickel (Ni) from spent lithium-ion batteries (LIBs) has been targeted through leaching with environmentally friendly agents, aiming for lower chemical usage and reduced costs. The leaching agents employed in this study include ethylenediamine tetraacetic acid disodium salt (EDTANa₂), citric acid (CA), and a mixture of EDTANa₂ + CA. When the leaching process was carried out under the optimum conditions of 180 min, 100 °C, 20 g/L solid–liquid ratio and 1–4 % H₂O₂ (w/w), the lithium, cobalt recovery rate from spent LIBs was over 99 % for EDTANa₂ and EDTANa₂ + CA. Under the same conditions, the recovery of cobalt (93 %) and lithium (96 %) by CA reached a lower leaching efficiency. Nickel recovery was approximately 90 % for all leaching agents. For all three leaching agents, it was understood that chemical control was less effective in leaching reactions and the rate-limiting step was the porous layer transfer mechanism. When EDTANa₂ + CA was used as a leaching agent for Li, Co and Ni recovery from waste LIBs, the amount of matter was reduced by about 65–85 % and the leachate cost was reduced by 48–95 % compared with other leachates. All the results show that the EDTANa₂ + CA mixture can be used as an environmentally friendly leachate for recycling spent LIBs with less matter, lower cost and high-efficiency process.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"204 ","pages":"Article 114896"},"PeriodicalIF":7.1,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated material flow characterization of WEEE in sorting plants using deep learning and regression models on RGB data","authors":"Malte Vogelgesang ,&nbsp;Victor Kaczmarek ,&nbsp;Alice do Carmo Precci Lopes ,&nbsp;Chanchan Li ,&nbsp;Emanuel Ionescu ,&nbsp;Liselotte Schebek","doi":"10.1016/j.wasman.2025.114904","DOIUrl":"10.1016/j.wasman.2025.114904","url":null,"abstract":"<div><div>Waste from electrical and electronic equipment (WEEE) is a rapidly growing waste stream. Notably, electronic equipment contains valuable and critical raw materials. State of the art in WEEE recycling uses a combination of automated comminution and separation processes. To optimize these processes, analyzing material flow composition is essential, which today is performed by labor- and cost-intensive manual sampling and sorting. Automated analysis can be achieved through sensor-based material flow characterization (SBMC). However, this method has not yet successfully been applied for shredded WEEE. In a pilot-scale sorting plant, we developed a three-step SBMC method for shredded WEEE, based on cheap and widespread RGB cameras. Novel features of this approach are the combination of deep learning for material type identification, regression models for predicting individual particle masses, and aggregating the masses towards a material flow composition. First, YOLO v11 object detection performed best in identifying ferrous-metals, non-ferrous metals, printed circuit boards and plastics, reaching an [email protected] of 0.990. Next, geometry and color features were extracted for a total of 70 particle features. These data were used to train 11 types of regression models for particle mass prediction. K-nearest neighbors regression achieved a mean relative error of below 5 %, calculating the material shares in the waste stream from predicted particle masses. Finally, the combined approach of YOLO and k-NN regression was used on a validation dataset, achieving 4.94%. Our method can be applied in WEEE sorting plants to monitor and control processes or to analyze experiments.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"204 ","pages":"Article 114904"},"PeriodicalIF":7.1,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biogas and nutrient recovery potential: A spatially explicit analysis of China’s county-level livestock and poultry manure","authors":"Hao Dong ,&nbsp;Meng Yang ,&nbsp;Xiangyun Hu ,&nbsp;Can Cui ,&nbsp;Weiguo Liu","doi":"10.1016/j.wasman.2025.114906","DOIUrl":"10.1016/j.wasman.2025.114906","url":null,"abstract":"<div><div>Livestock and poultry manure is increasingly recognized as a critical renewable resource for reducing carbon emissions and producing carbon–neutral biofuel, owing to its capacity to undergo anaerobic digestion into biogas and nutrient-rich digestate. Optimizing the utilization of these manure resources requires high-resolution spatial data; however, previous studies have predominantly relied on analyses at the provincial level. To bridge this gap, the study offers a comprehensive county-level assessment of China’s livestock and poultry manure resources for 2020. It systematically quantifies the biogas energy potential of these resources and the nutrient profiles of the resulting digestate. The analysis reveals an annual recoverable volume of 840.40 million tons (Mt) of livestock and poultry manure, containing 207.04 Mt of total solids. This biomass could generate an estimated 69.23 billion cubic meters of biogas. The resulting digestate contains substantial nutrient reserves: 2.86 Mt of nitrogen (N), 5.13 Mt of phosphorus (P), and 1.78 Mt of potassium (K). At the county level, Guangze County exhibits the highest biogas potential of 4,981.26 GWh, and it also leads in N production at 21.43 kilo tons (kt) and in K production at 30.64 kt, while Fuxin Mongolzu Autonomous County tops P production at 39.56 kt. These results provide a critical foundation for policymakers to develop spatially differentiated biomass utilization strategies, thereby addressing localized energy constraints through targeted interventions.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"204 ","pages":"Article 114906"},"PeriodicalIF":7.1,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From past critiques to present challenges: A review of LCA approaches and results in the aluminum industry","authors":"Federico Rossi ,&nbsp;Chiara De Bernardi ,&nbsp;Marco Frey ,&nbsp;Monia Niero","doi":"10.1016/j.wasman.2025.114900","DOIUrl":"10.1016/j.wasman.2025.114900","url":null,"abstract":"<div><div>Aluminum is a critical raw material and a key resource in manufacturing. Hence, to promote environmental sustainability in this industry, Life Cycle Assessment has largely been used as a quantitative methodology for assessing its overall impact. However, since 2012, several advancements have been made to Life Cycle Assessment methodology in terms of the technologies considered and the waste management strategies used. This study, therefore, has two main aims: i) to assess whether the literature gaps identified in the last major review of Life Cycle Assessment in the aluminum sector, conducted in 2012, have now been addressed; and ii) to identify any new challenges in this sector for Life Cycle Assessment practitioners that might have emerged over the past 15 years. The results of this review show that there has been some convergence in methodological practices, particularly in terms of the definitions for functional units, system boundaries, and end-of-life modeling. However, there is also a huge margin for improvement. The environmental metrics used are typically not comparable. The main challenges remain when attempting to apply the Product Environmental Footprint method, and, further, exploring new decarbonization technologies and circular waste management strategies remains persistently difficult.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"204 ","pages":"Article 114900"},"PeriodicalIF":7.1,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Host-mediated environmental microbiome recruitment by black soldier fly (Hermetia illucens) enhances waste biotransformation","authors":"Zhe Li ,&nbsp;Yuchen Zhou ,&nbsp;Lin Lv ,&nbsp;Yinguang Long ,&nbsp;Mengyao Dong ,&nbsp;Qi Xiao ,&nbsp;Xianyue Jia ,&nbsp;Dechen Ju ,&nbsp;Xiaowen Sun ,&nbsp;Feng Huang ,&nbsp;Minmin Cai ,&nbsp;Jibin Zhang ,&nbsp;Ziniu Yu ,&nbsp;Longyu Zheng","doi":"10.1016/j.wasman.2025.114886","DOIUrl":"10.1016/j.wasman.2025.114886","url":null,"abstract":"<div><div>The black soldier fly larvae (BSFL) have demonstrated the ability to convert organic waste into high-quality proteins, lipids, and chitin on an industrial scale. This study aimed to examine the influence of exogenous microbes on the growth and development of BSFL by comparing Germ-free and normal BSFL that were reared on different substrates. Furthermore, the research evaluated the effects of microbes associated with the eggs. The results demonstrated that BSFL actively recruited specific functional microbes from their environment to facilitate growth and developmental processes. These recruited exogenous microbial consortia, originating from artificial substrates, kitchen waste, chicken manure, and egg-carrying microbiota, significantly enhanced Germ-free BSFL performance through improved larval viability, increased material conversion efficiency, elevated average body weight, and reduced pupal stage duration compared to Germ-free groups. The isolation and functional validation of intestinal microbiota identified <em>Enterococcus</em>, <em>Bacillus</em>, and <em>Lactobacillus</em> as core taxa for consortium formulation. This synthetic microbial community exhibited robust growth-promoting effects on BSFL, with maximal efficacy observed in chicken manure bioconversion systems, achieving 72.1 %, 193.6 % and 439.59 % enhancements in larval survival, biomass accumulation and feed conversion rate, respectively, alongside a 62.4 % reduction in prepupal development time compared to non-inoculated controls. Mechanistic analysis revealed a host-driven microbial recruitment strategy wherein BSFL selectively enriched functional symbionts to optimize environmental adaptation. These mutualistic interactions enhanced larval niche specialization and waste metabolic capacity, demonstrating scalable potential for circular waste valorization and sustainable bioremediation protocols.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"204 ","pages":"Article 114886"},"PeriodicalIF":7.1,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144125162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From non-renewable waste to activated carbon: A smart move towards sustainable development and environmental protection in a circular economy","authors":"Sunaina S. Patil ,&nbsp;Anna M. Kisiela-Czajka ,&nbsp;Hari Prasad Dasari","doi":"10.1016/j.wasman.2025.114878","DOIUrl":"10.1016/j.wasman.2025.114878","url":null,"abstract":"<div><div>Waste generation is unavoidable as the population grows and globalisation/modernisation occurs. Ineffective garbage management and treatment raise major environmental concerns. This study provides a comprehensive and unique compilation of available knowledge on the potential use of various non-renewable waste materials to produce activated carbon (AC). One document brings together and evaluates the potential for converting hazardous and non-hazardous waste – from industrial and municipal to recyclable and medical waste – into a valuable resource with wide-ranging applications. The appropriately selected conversion method is key to converting waste into a valuable activated carbon product. It must consider both the applicable legal regulations and the key technological parameters that determine the quality and suitability of the final product for a specific application. The numerous carbonisation and activation methods employed to convert waste to AC include hydrothermal, ionothermal, pyrolysis and microwave-assisted methods. AC’s elemental composition and functional groups are analysed using elemental analysis, XPS and FTIR. Crystal structure and phase identification are performed via XRD, SEM and TEM. Surface area and porosity are determined using the BET and BJH methods, along with the iodine index. Following the thermal conversion of various waste materials into AC, it is widely used in multiple disciplines, including energy and the environment. AC is used as an adsorbent to effectively remove harmful elements from water, including pharmaceutical contamination, dyes and heavy metals. AC has excellent electrochemical characteristics and is highly efficient in CO₂ capture. AC also extracts valuable products such as hydrocarbons, methane and uranium.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"203 ","pages":"Article 114878"},"PeriodicalIF":7.1,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microbial degradation and pollutant control in aerobic composting and anaerobic digestion of organic wastes: A review","authors":"Wenhui Bi ,&nbsp;Vito Butardo Jr ,&nbsp;Guomeng Sha ,&nbsp;Hong Zhang ,&nbsp;Xiuyun Wu ,&nbsp;Lushan Wang","doi":"10.1016/j.wasman.2025.114894","DOIUrl":"10.1016/j.wasman.2025.114894","url":null,"abstract":"<div><div>Aerobic composting (AC) and anaerobic digestion (AD) are promising technologies for organic waste treatment, but their efficiency and safety are influenced by complex waste composition and persistent contaminants. This review identifies the advances in understanding microbial community dynamics, enzymatic degradation pathways, and the fate of contaminants during AC and AD processes. The findings indicate that substrate composition shapes dominant microbial populations and their degradative enzymes, with this correlation potentially useful for predicting functional microbial communities. Additionally, AC shows advantages in antibiotic elimination while AD excels in heavy metal immobilization, with both contributing to removing certain antibiotic resistance genes (ARGs). The strategic manipulation of environmental conditions, particularly temperature and oxygen levels, can drive microbial succession to optimize organic matter decomposition while minimizing ARG proliferation. Economic analyses reveal that AC offers lower operational costs and AD generates valuable by-products with potential energy recovery from organic waste. Case studies indicate that integrating both technologies can overcome individual limitations and enhance degradation efficiency compared to conventional single-technology approaches. This work proposes a comprehensive framework for developing coupled AC-AD systems to achieve more efficient and safer organic waste valorization than conventional single-technology approaches. This review has important implications for advancing sustainable waste management practices and mitigating the spread of antibiotic resistance in the environment.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"204 ","pages":"Article 114894"},"PeriodicalIF":7.1,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recycling of plastic-coated cartons in hydropulping using pretreatments","authors":"Emilia Kauppi,&nbsp;Kaarlo Nieminen,&nbsp;Jouni Paltakari","doi":"10.1016/j.wasman.2025.114905","DOIUrl":"10.1016/j.wasman.2025.114905","url":null,"abstract":"<div><div>Plastic-coated cartons and multilayer packaging pose significant challenges in recycling due to prolonged pulping times, high energy consumption, and fiber loss. Efficient fiber-plastic separation enables both fiber reuse and plastic recycling, contributing to sustainability goals. This study evaluates the combined effects of hydraulic pressure and perforation as pretreatments to enhance pulping efficiency, reduce energy consumption, and optimize separation. Hydraulic pressure at 0.2 bar achieved 75 % swelling in 10 min and reduced pulping time by 33–67 % across high- and low-consistency pulpers. Perforation enabled swelling of entire cartons without shredding, improving swelling by 30–60 % and reducing pulping time by 25–50 % depending on the pulper type. Together, these pretreatments could cut energy consumption by up to 50 %, translating to annual savings of approximately 1 GWh for factories processing 100 kt of pulp. These findings demonstrate the scalability and economic potential of pretreatments for more sustainable carton recycling.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"204 ","pages":"Article 114905"},"PeriodicalIF":7.1,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning predicting sintering temperature for ceramsite production from multiple solid wastes","authors":"Guanqi Yu ,&nbsp;Chuan Wang ,&nbsp;Qianlan Zhuo ,&nbsp;Ziqiu Wang ,&nbsp;Muqin Huang","doi":"10.1016/j.wasman.2025.114903","DOIUrl":"10.1016/j.wasman.2025.114903","url":null,"abstract":"<div><div>An efficient machine learning model was developed to accurately predict the sintering temperature of ceramsite synthesized from various solid waste materials. Based on experimental data from 236 samples, eight key chemical components were defined as input features, and six machine learning models were trained and evaluated. Among them, XGBoost achieved the highest performance, with an R² of 0.950 and an RMSE of 7.767 on the test set, effectively capturing the quantitative relationship between chemical composition and sintering temperature. SHAP analysis revealed that SiO₂ and Al₂O₃ significantly elevate sintering temperature, whereas alkaline oxides such as CaO and MgO contribute to its reduction. Applicability domain analysis showed that all samples had leverage values below the warning threshold and normally distributed residuals, indicating strong generalizability and predictive reliability on unseen data. Beyond delivering a robust predictive framework, the study also offers new insights into the roles of chemical constituents in the sintering process, underscoring the potential of machine learning in optimizing ceramsite production.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"203 ","pages":"Article 114903"},"PeriodicalIF":7.1,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}