This study tackles the challenge of locating recycling bins to improve municipal waste collection. We develop a lexicographic mixed-integer optimization model with two sequential objectives: maximizing the amount of recycled glass and then minimizing bin overflow. The model considers how people decide where to recycle, which is captured through a multinomial logit (random-utility) choice model with an outside option. Demand is estimated at the census-block level using household counts and average glass-generation rates, and user access is represented through distance-based disutilities. We assume that users may leave glass outside the bins when these are full, reflecting the formation of micro-landfills. The model is applied to a real case in Estación Central, Santiago, Chile. In the case study, we evaluate the current configuration in terms of expected glass capture and overflow, solve the model to optimally relocate the existing bins without adding infrastructure, and conduct a sensitivity analysis by varying the number of bins. Results show that relocating existing bins can raise weekly recycling by about five metric tonnes and completely eliminate overflow without new infrastructure. Configurations with fewer bins also achieve high recycling while keeping expected overflow below 60 kg. These insights can guide local governments in designing more efficient and user-friendly recycling systems.
{"title":"Overflow-aware recycling bin location with random utilities: A case study of the commune of Estación Central, Chile","authors":"Gonzalo Méndez-Vogel , Sebastián Dávila-Gálvez , Pedro Jara-Moroni , Jorge Zamorano","doi":"10.1016/j.wasman.2026.115360","DOIUrl":"10.1016/j.wasman.2026.115360","url":null,"abstract":"<div><div>This study tackles the challenge of locating recycling bins to improve municipal waste collection. We develop a lexicographic mixed-integer optimization model with two sequential objectives: maximizing the amount of recycled glass and then minimizing bin overflow. The model considers how people decide where to recycle, which is captured through a multinomial logit (random-utility) choice model with an outside option. Demand is estimated at the census-block level using household counts and average glass-generation rates, and user access is represented through distance-based disutilities. We assume that users may leave glass outside the bins when these are full, reflecting the formation of micro-landfills. The model is applied to a real case in Estación Central, Santiago, Chile. In the case study, we evaluate the current configuration in terms of expected glass capture and overflow, solve the model to optimally relocate the existing bins without adding infrastructure, and conduct a sensitivity analysis by varying the number of bins. Results show that relocating existing bins can raise weekly recycling by about five metric tonnes and completely eliminate overflow without new infrastructure. Configurations with fewer bins also achieve high recycling while keeping expected overflow below 60 kg. These insights can guide local governments in designing more efficient and user-friendly recycling systems.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"213 ","pages":"Article 115360"},"PeriodicalIF":7.1,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039526","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}
Pub Date : 2026-01-22DOI: 10.1016/j.wasman.2026.115361
Quanfeng Wang , Yang Xiao , Jiufang Qi , Haoxuan Wei , Guoming Zeng , Demin Yang , Xiaoling Lei , Yuanyuan Huang
In this study, a magnetic iron–nitrogen co-doped adsorbent (Fe/N-KBC) with a high specific surface area was successfully prepared through the simple co-pyrolysis of municipal sludge and modifiers (potassium ferrate, urea, and potassium chloride). The activation effect of K+ ions effectively enhanced the pore structure, while co-doping with iron and nitrogen facilitated the formation of Fe–N bonds, thereby improving both the adsorption rate and selectivity for phosphate. It exhibited a magnetic saturation value of 16.37 emu/g, enabling convenient magnetic separation. Even in the presence of coexisting ions, the phosphate removal efficiency remained above 81.62 %. Moreover, the Fe–N bonds significantly suppressed iron leaching, with the maximum Fe ion concentration measured at only 0.019 mg/L, ensuring excellent adsorption stability. Compared to other adsorbents analyzed in this study, Fe/N-KBC demonstrated both the highest adsorption capacity and the fastest adsorption kinetics. The adsorbent maintained full regenerability and could be reused for at least four cycles with minimal performance loss. In a continuous flow column test, Fe/N-KBC effectively treated approximately 590 bed volumes (BV) of phosphate-containing wastewater. The main adsorption mechanism was attributed to Fe–N coordination bonding, accompanied by electrostatic attraction, π–π interactions, hydrogen bonding and pore filling. Hydroponic experiments using mung beans confirmed the low biotoxicity of adsorbents, and the saturated material could be directly repurposed as a phosphate fertilizer. Overall, this work proposes a promising strategy for the simultaneous regulation of adsorption rate and selectivity and offers a facile adsorbent material for efficient phosphorus recovery and resource reutilization.
{"title":"A simple method for preparing novel biochar with Fe–N bonds and porous structure: Towards phosphate adsorption","authors":"Quanfeng Wang , Yang Xiao , Jiufang Qi , Haoxuan Wei , Guoming Zeng , Demin Yang , Xiaoling Lei , Yuanyuan Huang","doi":"10.1016/j.wasman.2026.115361","DOIUrl":"10.1016/j.wasman.2026.115361","url":null,"abstract":"<div><div>In this study, a magnetic iron–nitrogen co-doped adsorbent (Fe/N-KBC) with a high specific surface area was successfully prepared through the simple co-pyrolysis of municipal sludge and modifiers (potassium ferrate, urea, and potassium chloride). The activation effect of K<sup>+</sup> ions effectively enhanced the pore structure, while co-doping with iron and nitrogen facilitated the formation of Fe–N bonds, thereby improving both the adsorption rate and selectivity for phosphate. It exhibited a magnetic saturation value of 16.37 emu/g, enabling convenient magnetic separation. Even in the presence of coexisting ions, the phosphate removal efficiency remained above 81.62 %. Moreover, the Fe–N bonds significantly suppressed iron leaching, with the maximum Fe ion concentration measured at only 0.019 mg/L, ensuring excellent adsorption stability. Compared to other adsorbents analyzed in this study, Fe/N-KBC demonstrated both the highest adsorption capacity and the fastest adsorption kinetics. The adsorbent maintained full regenerability and could be reused for at least four cycles with minimal performance loss. In a continuous flow column test, Fe/N-KBC effectively treated approximately 590 bed volumes (BV) of phosphate-containing wastewater. The main adsorption mechanism was attributed to Fe–N coordination bonding, accompanied by electrostatic attraction, π–π interactions, hydrogen bonding and pore filling. Hydroponic experiments using mung beans confirmed the low biotoxicity of adsorbents, and the saturated material could be directly repurposed as a phosphate fertilizer. Overall, this work proposes a promising strategy for the simultaneous regulation of adsorption rate and selectivity and offers a facile adsorbent material for efficient phosphorus recovery and resource reutilization.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"213 ","pages":"Article 115361"},"PeriodicalIF":7.1,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039527","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}
Floc size in activated sludge systems plays a critical role in shaping bacterial communities by regulating microenvironmental heterogeneity, yet its ecological influence on fungal assemblages during process upgrading remains largely unexplored. This study aimed to systematically investigate the effects of floc-size stratification on fungal community composition, assembly mechanisms, source contribution patterns, and molecular ecological co-occurrence network structures during the transition from conventional nitrification–denitrification (CND) to partial nitrification–denitrification (PND) in a full-scale landfill leachate treatment plant. Fungal communities from large (L, >100 μm), medium (M, 25–100 μm), and small (S, <25 μm) flocs were characterized across three operational stages (CND, Trans, and PND) using high-throughput ITS sequencing. Analytical approaches including neutral community model, normalized stochasticity ratio, fast expectation–maximization for microbial source tracking, and molecular ecological network modeling were applied. Results showed that S-flocs consistently contributed the largest proportion to the supernatant fungal community across all stages. Community assembly transitioned from predominantly stochastic in the CND stage to increasingly deterministic in the PND stage, especially within L and M flocs. Co-occurrence network analysis revealed a shift from small-world to scale-free modular topologies, indicating substantial remodeling of fungal co-occurrence correlations. Dissolved oxygen, representing an operational factor, and sludge physicochemical indicators jointly influenced fungal community differentiation across floc-size gradients. This study highlights the regulatory role of floc-size stratification in shaping fungal ecology and network architecture during engineered nitrogen removal process upgrading. These findings provide new insights into spatial microbial dynamics and inform floc-scale strategies for optimizing biological wastewater treatment performance.
{"title":"Ecological reorganization of fungal communities driven by floc-size stratification and process upgrading in a full-scale landfill leachate treatment plant","authors":"Shitong Liu , Shuang Zhu , Rongxin Zhang , Binbin Sheng","doi":"10.1016/j.wasman.2026.115357","DOIUrl":"10.1016/j.wasman.2026.115357","url":null,"abstract":"<div><div>Floc size in activated sludge systems plays a critical role in shaping bacterial communities by regulating microenvironmental heterogeneity, yet its ecological influence on fungal assemblages during process upgrading remains largely unexplored. This study aimed to systematically investigate the effects of floc-size stratification on fungal community composition, assembly mechanisms, source contribution patterns, and molecular ecological co-occurrence network structures during the transition from conventional nitrification–denitrification (CND) to partial nitrification–denitrification (PND) in a full-scale landfill leachate treatment plant. Fungal communities from large (L, >100 μm), medium (M, 25–100 μm), and small (S, <25 μm) flocs were characterized across three operational stages (CND, Trans, and PND) using high-throughput ITS sequencing. Analytical approaches including neutral community model, normalized stochasticity ratio, fast expectation–maximization for microbial source tracking, and molecular ecological network modeling were applied. Results showed that S-flocs consistently contributed the largest proportion to the supernatant fungal community across all stages. Community assembly transitioned from predominantly stochastic in the CND stage to increasingly deterministic in the PND stage, especially within L and M flocs. Co-occurrence network analysis revealed a shift from small-world to scale-free modular topologies, indicating substantial remodeling of fungal co-occurrence correlations. Dissolved oxygen, representing an operational factor, and sludge physicochemical indicators jointly influenced fungal community differentiation across floc-size gradients. This study highlights the regulatory role of floc-size stratification in shaping fungal ecology and network architecture during engineered nitrogen removal process upgrading. These findings provide new insights into spatial microbial dynamics and inform floc-scale strategies for optimizing biological wastewater treatment performance.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"213 ","pages":"Article 115357"},"PeriodicalIF":7.1,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006522","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}
Aiming to mitigate the impacts of global plastic pollution, several strategies have been adopted, such as replacing conventional plastics with compostable and biodegradable polymers. However, the effectiveness of these polymers in real-world environments has been questioned due to low degradation rates. Therefore, the present study experimentally assessed, in a real estuarine environment, degradation of bags made of PLA + PBAT + starch, PLA + PBAT, polyethylene (PE) with an oxo-biodegradable additive and solely PE. During an 180-day exposure period, morphological, chemical and structural analyses including SEM, FTIR, TGA and DSC were carried out. The results showed that bags made of PLA + PBAT + starch presented more consistent degradation evidence, in estuarine environments, than those without starch addition (PLA + PBAT). However, after 45 days of exposure, such blends have undergone fragmentation, probably forming microplastics (MPs). While samples composed by PLA + PBAT + starch significative differed in macroscopic and microscopic structure, condition indexes and thermal properties from ordinary PE, no significative differences were seen for samples made of PLA + PBAT and oxo-biodegradable plastics. Despite degradation performance of bags PLA + PBAT + starch based, assessments with regard microplastic formation and ecotoxicity must be performed in aquatic scenarios.
{"title":"Degradation of supposedly biodegradable polymers in a real estuarine environment","authors":"Beatriz Barbosa Moreno , Milton Alexandre Cardoso , Fabio Ruiz Simões , Isabelly Bertochi Veroneze , Sandra Andrea Cruz , Ítalo Braga Castro","doi":"10.1016/j.wasman.2026.115365","DOIUrl":"10.1016/j.wasman.2026.115365","url":null,"abstract":"<div><div>Aiming to mitigate the impacts of global plastic pollution, several strategies have been adopted, such as replacing conventional plastics with compostable and biodegradable polymers. However, the effectiveness of these polymers in real-world environments has been questioned due to low degradation rates. Therefore, the present study experimentally assessed, in a real estuarine environment, degradation of bags made of PLA + PBAT + starch, PLA + PBAT, polyethylene (PE) with an oxo-biodegradable additive and solely PE. During an 180-day exposure period, morphological, chemical and structural analyses including SEM, FTIR, TGA and DSC were carried out. The results showed that bags made of PLA + PBAT + starch presented more consistent degradation evidence, in estuarine environments, than those without starch addition (PLA + PBAT). However, after 45 days of exposure, such blends have undergone fragmentation, probably forming microplastics (MPs). While samples composed by PLA + PBAT + starch significative differed in macroscopic and microscopic structure, condition indexes and thermal properties from ordinary PE, no significative differences were seen for samples made of PLA + PBAT and oxo-biodegradable plastics. Despite degradation performance of bags PLA + PBAT + starch based, assessments with regard microplastic formation and ecotoxicity must be performed in aquatic scenarios.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"213 ","pages":"Article 115365"},"PeriodicalIF":7.1,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039529","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}
Pub Date : 2026-01-20DOI: 10.1016/j.wasman.2026.115356
Moritz Mager , Lukas Zeilerbauer , Alexander Felgel-Farnholz , Sandra Czaker , Jörg Fischer , Sander H.J. Postema , Johann B. Kasper , Marcel C.P. van Eijk
European legislation, particularly the Packaging and Packaging Waste Regulation (PPWR), is rapidly increasing the demand for high-quality recycled polypropylene (PP) in packaging applications. Achieving such qualities through mechanical recycling remains challenging due to the heterogeneity of post-consumer waste, while the role of intensified washing in the overall decontamination remains debated. This study evaluates the influence of additional sorting and washing intensity on material properties, product performance, and environmental impacts in mechanical recycling of Dutch post-consumer rigid PP. White, clear, and colored fractions were processed under cold and hot wash conditions, extruded, and converted into cups by injection molding and thermoforming. Sorting effectively reduced feedstock heterogeneity, while hot washing slightly improved oxidation stability and ductility. Cup testing showed that the investigated recyclates achieved 77–88 % of virgin polypropylene top load performance. Hot washing removed surface contamination but did not significantly reduce volatile organic compounds or migration levels. A Life cycle assessment (LCA) was performed in openLCA using Ecoinvent background data. The results showed that advanced mechanical recycling, despite higher energy and chemical demand, remained environmentally advantageous, achieving significantly lower climate change impacts compared to virgin PP. However, the recyclate substitution rate in final products was identified as the dominant driver of environmental benefits. Overall, maximizing substitution and sorting efficiency proved more effective for achieving sustainable, high-quality PP recycling than intensifying washing.
{"title":"Advancing mechanical recycling of polypropylene: lessons from sorting, washing, and life cycle assessment","authors":"Moritz Mager , Lukas Zeilerbauer , Alexander Felgel-Farnholz , Sandra Czaker , Jörg Fischer , Sander H.J. Postema , Johann B. Kasper , Marcel C.P. van Eijk","doi":"10.1016/j.wasman.2026.115356","DOIUrl":"10.1016/j.wasman.2026.115356","url":null,"abstract":"<div><div>European legislation, particularly the Packaging and Packaging Waste Regulation (PPWR), is rapidly increasing the demand for high-quality recycled polypropylene (PP) in packaging applications. Achieving such qualities through mechanical recycling remains challenging due to the heterogeneity of post-consumer waste, while the role of intensified washing in the overall decontamination remains debated. This study evaluates the influence of additional sorting and washing intensity on material properties, product performance, and environmental impacts in mechanical recycling of Dutch post-consumer rigid PP. White, clear, and colored fractions were processed under cold and hot wash conditions, extruded, and converted into cups by injection molding and thermoforming. Sorting effectively reduced feedstock heterogeneity, while hot washing slightly improved oxidation stability and ductility. Cup testing showed that the investigated recyclates achieved 77–88 % of virgin polypropylene top load performance. Hot washing removed surface contamination but did not significantly reduce volatile organic compounds or migration levels. A Life cycle assessment (LCA) was performed in openLCA using Ecoinvent background data. The results showed that advanced mechanical recycling, despite higher energy and chemical demand, remained environmentally advantageous, achieving significantly lower climate change impacts compared to virgin PP. However, the recyclate substitution rate in final products was identified as the dominant driver of environmental benefits. Overall, maximizing substitution and sorting efficiency proved more effective for achieving sustainable, high-quality PP recycling than intensifying washing.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"212 ","pages":"Article 115356"},"PeriodicalIF":7.1,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146019853","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}
This study presents a site-specific, year-long integrated mass–energy assessment of sludge valorisation at a Thai recycled paper mill, evaluating three sludge-to-energy pathways: (1) refuse-derived fuel (RDF) production from dewatered sludge, (2) anaerobic digestion (AD) of primary and secondary sludge, and (3) a hybrid cascade combining AD with digestate-to-RDF conversion. An auditable organic-carbon balance with a very small deviation (ΔMB ≈ +0.0068%) demonstrates high data quality and traceability. A product-substitution framework was applied using functional units of 1 kWh of on-site electricity and 1 t of on-site steam delivered, with system boundaries explicitly incorporating air-pollution control systems (APCS) for RDF and essential gas-cleaning for AD. The analysis indicates substantial potential for fossil-energy displacement, with differences observed among the three pathways once APCS-related parasitic loads and compliance costs are considered. Over a 20-year project horizon, techno-economic analysis shows that the relative economic performance of the pathways is strongly influenced by the treatment of APCS capital and operating expenditures under on-site utilisation conditions. One-way sensitivity analysis identifies electricity tariff and grid emission factor, sludge and digestate dryness and higher heating value, and APCS costs as the dominant parameters affecting economic outcomes. By integrating experimental data with mass–energy balancing and substitution-based assessment, this study provides a transparent analytical basis for comparing sludge-to-energy options in recycled paper mills under realistic operational and compliance constraints.
{"title":"Valorization of recycled paper mill sludge via mass–energy integration for sustainable onsite power generation: A case study","authors":"Patcharin Racho , Boonsita Nammana , Netnapid Tantemsapya , Boonchai Wichitsathian , Kriangsak Riewklang , Kraichat Tantrakarnapa","doi":"10.1016/j.wasman.2026.115354","DOIUrl":"10.1016/j.wasman.2026.115354","url":null,"abstract":"<div><div>This study presents a site-specific, year-long integrated mass–energy assessment of sludge valorisation at a Thai recycled paper mill, evaluating three sludge-to-energy pathways: (1) refuse-derived fuel (RDF) production from dewatered sludge, (2) anaerobic digestion (AD) of primary and secondary sludge, and (3) a hybrid cascade combining AD with digestate-to-RDF conversion. An auditable organic-carbon balance with a very small deviation (ΔMB ≈ +0.0068%) demonstrates high data quality and traceability. A product-substitution framework was applied using functional units of 1 kWh of on-site electricity and 1 t of on-site steam delivered, with system boundaries explicitly incorporating air-pollution control systems (APCS) for RDF and essential gas-cleaning for AD. The analysis indicates substantial potential for fossil-energy displacement, with differences observed among the three pathways once APCS-related parasitic loads and compliance costs are considered. Over a 20-year project horizon, techno-economic analysis shows that the relative economic performance of the pathways is strongly influenced by the treatment of APCS capital and operating expenditures under on-site utilisation conditions. One-way sensitivity analysis identifies electricity tariff and grid emission factor, sludge and digestate dryness and higher heating value, and APCS costs as the dominant parameters affecting economic outcomes. By integrating experimental data with mass–energy balancing and substitution-based assessment, this study provides a transparent analytical basis for comparing sludge-to-energy options in recycled paper mills under realistic operational and compliance constraints.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"212 ","pages":"Article 115354"},"PeriodicalIF":7.1,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146012542","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}
Pub Date : 2026-01-18DOI: 10.1016/j.wasman.2026.115347
Xiang Guo , Tian Li , Chunting Liu , Meng Zhang , Hao Li , Jinrui Li , Yihua Zhang , Chunmei Zeng , Shuwu Wei , Linlin Pei , Fang Liu , Da Chen
The limitations of traditional pyrolysis technologies of recovered carbon fiber included long processing time, low efficiency, and unclear links between process parameters and performance. Moreover, pyrolysis alone formed residual coke on carbon fiber surfaces, severely impairing reusability. Therefore, this study adopted a combination of pyrolysis oxidation recycling to obtain clean carbon fibers, and introduced an innovative machine learning optimization framework to predict and analyze key recycling parameters. Specifically, a database of raw material characteristics and process parameters was built via systematic literature research. Subsequently, four machine learning models were integrated to predict mechanical performance, and the random forest model performed the best with determination coefficients of 0.9608 and 0.9419, respectively. Additionally, partial dependency graph analysis quantified the process window and determined the optimal parameters. Optimal tensile modulus was attained with a 5 ℃/min pyrolysis rate, 570 ℃ oxidation temperature, and 45%-75% carbon fiber mass fraction. For tensile strength, the best parameters were 557 ℃ oxidation temperature and 45 mins oxidation time. A 5 ℃/min pyrolysis rate stabilized tensile modulus, while 500 ℃ preserved tensile strength. Additionally, 75 wt% carbon content combined with high fiber mass fraction enhanced mechanical performance. The foundation was laid for subsequent pyrolysis‑oxidation experiments on carbon‑fiber recovery, and the recovery efficiency was improved. Overall, this study can provide more accurate theoretical support for carbon fiber recycling technology.
{"title":"Machine learning based prediction of mechanical properties in carbon fiber recovered through pyrolysis","authors":"Xiang Guo , Tian Li , Chunting Liu , Meng Zhang , Hao Li , Jinrui Li , Yihua Zhang , Chunmei Zeng , Shuwu Wei , Linlin Pei , Fang Liu , Da Chen","doi":"10.1016/j.wasman.2026.115347","DOIUrl":"10.1016/j.wasman.2026.115347","url":null,"abstract":"<div><div>The limitations of traditional pyrolysis technologies of recovered carbon fiber included long processing time, low efficiency, and unclear links between process parameters and performance. Moreover, pyrolysis alone formed residual coke on carbon fiber surfaces, severely impairing reusability. Therefore, this study adopted a combination of pyrolysis oxidation recycling to obtain clean carbon fibers, and introduced an innovative machine learning optimization framework to predict and analyze key recycling parameters. Specifically, a database of raw material characteristics and process parameters was built via systematic literature research. Subsequently, four machine learning models were integrated to predict mechanical performance, and the random forest model performed the best with determination coefficients of 0.9608 and 0.9419, respectively. Additionally, partial dependency graph analysis quantified the process window and determined the optimal parameters. Optimal tensile modulus was attained with a 5 ℃/min pyrolysis rate, 570 ℃ oxidation temperature, and 45%-75% carbon fiber mass fraction. For tensile strength, the best parameters were 557 ℃ oxidation temperature and 45 mins oxidation time. A 5 ℃/min pyrolysis rate stabilized tensile modulus, while 500 ℃ preserved tensile strength. Additionally, 75 wt% carbon content combined with high fiber mass fraction enhanced mechanical performance. The foundation was laid for subsequent pyrolysis‑oxidation experiments on carbon‑fiber recovery, and the recovery efficiency was improved. Overall, this study can provide more accurate theoretical support for carbon fiber recycling technology.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"212 ","pages":"Article 115347"},"PeriodicalIF":7.1,"publicationDate":"2026-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146004289","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}
Pub Date : 2026-01-16DOI: 10.1016/j.wasman.2026.115350
Romain TRAMOY , Lauriane LEDIEU , Ibrahima MBALLO BIAYE , Johnny GASPERI , Bruno TASSIN
Sewer systems are an overlooked pathway of litter to rivers. We monitored six combined and four separate sewer outlets in France using retention nets over several years to quantify and characterize over 30,000 items > 5 mm, including 91% plastic debris. Total median loading rates were 155 g ha−1 yr−1 (120 g.ha−1.yr−1 for plastics) and 8 g cap−1 yr−1 (6 g cap−1.yr−1 for plastics), consistent with the few previous studies available in stormwater and rivers, although litter typology is different. Combined sewers were dominated by sanitary products like wet wipes and towels (46% of plastic mass), while separate systems were dominated by cigarette butts and food packaging related to on-the-go consumption. Sewer monitoring proved complementary to river monitoring, with fewer unidentified items (∼15%) and clearer source attribution. Management strongly influenced maintenance costs: internal management and incineration by public authorities was far cheaper (800 € per net and per year) than outsourced landfill disposal (16,000 € per net and per year). Despite operational limits of nets, sewer monitoring provides robust data for litter flux models and for evaluating upstream mitigation policies. Expanding such monitoring, supported by sustained funding and international coordination, will afford reliable and homogeneous method for litter loading estimates into rivers and their source identification:an essential step toward an effective plastics treaty.
下水道系统是垃圾流入河流的一个被忽视的途径。几年来,我们使用截留网监测了法国的6个综合下水道和4个独立下水道,量化和表征了3万多件5毫米的物品,其中包括91%的塑料碎片。总中位负荷率为155 g ha−1 yr−1 (120 g ha−1)。Yr−1(塑料)和8g cap−1 (6g cap−1)。Yr−1为塑料),与之前在雨水和河流中获得的少数研究一致,尽管凋落物类型不同。联合下水道主要是卫生用品,如湿纸巾和毛巾(占塑料质量的46%),而单独的系统主要是烟头和与移动消费相关的食品包装。事实证明,下水道监测是对河流监测的补充,未识别项目较少(约15%),来源归属更明确。管理对维护费用有很大影响:公共当局的内部管理和焚烧费用(每净和每年800欧元)远低于外包填埋处置费用(每净和每年16 000欧元)。尽管网络的运行受到限制,下水道监测为凋落物通量模型和评估上游缓解政策提供了可靠的数据。在持续的资金和国际协调的支持下扩大这种监测,将为估计流入河流的垃圾及其来源的确定提供可靠和一致的方法:这是达成有效塑料条约的重要一步。
{"title":"Monitoring litter typology and loading in stormwater: Implications for waste management and mitigation policies","authors":"Romain TRAMOY , Lauriane LEDIEU , Ibrahima MBALLO BIAYE , Johnny GASPERI , Bruno TASSIN","doi":"10.1016/j.wasman.2026.115350","DOIUrl":"10.1016/j.wasman.2026.115350","url":null,"abstract":"<div><div>Sewer systems are an overlooked pathway of litter to rivers. We monitored six combined and four separate sewer outlets in France using retention nets over several years to quantify and characterize over 30,000 items > 5 mm, including 91% plastic debris. Total median loading rates were 155 g ha<sup>−1</sup> yr<sup>−1</sup> (120 g.ha<sup>−1</sup>.yr<sup>−1</sup> for plastics) and 8 g cap<sup>−1</sup> yr<sup>−1</sup> (6 g cap<sup>−1</sup>.yr<sup>−1</sup> for plastics), consistent with the few previous studies available in stormwater and rivers, although litter typology is different. Combined sewers were dominated by sanitary products like wet wipes and towels (46% of plastic mass), while separate systems were dominated by cigarette butts and food packaging related to on-the-go consumption. Sewer monitoring proved complementary to river monitoring, with fewer unidentified items (∼15%) and clearer source attribution. Management strongly influenced maintenance costs: internal management and incineration by public authorities was far cheaper (800 € per net and per year) than outsourced landfill disposal (16,000 € per net and per year). Despite operational limits of nets, sewer monitoring provides robust data for litter flux models and for evaluating upstream mitigation policies. Expanding such monitoring, supported by sustained funding and international coordination, will afford reliable and homogeneous method for litter loading estimates into rivers and their source identification:an essential step toward an effective plastics treaty.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"212 ","pages":"Article 115350"},"PeriodicalIF":7.1,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979117","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}
Composting is a widely used method for managing and valorizing biowaste. Life cycle assessment (LCA) is commonly applied to evaluate its environmental impacts. Current methods used to model life cycle inventories often oversimplify the complex physical, chemical, and biological processes involved. This study introduces the Parametrized Composting Tool for Environmental Assessment (PaCTEA), developed to better capture the influence of biowaste composition variability and operational parameters on composting environmental impacts. PaCTEA integrates a composting model that predicts direct emissions of CO2, NH3, CH4, and N2O, as well as the nutrient composition of the resulting compost. This detailed characterization enables a more accurate estimation of the potential substitution of fertilizers and peat. Even though the core of PaCTEA is a complex chemical engineering model, it is linked to a simple parametrization based on operational parameters. To demonstrate its functionality, simulations were performed to assess the influence of biowaste composition, aeration mode, and ambient temperature on the environmental performance of composting. The LCA results show clear differences between scenarios. Variations in biowaste composition reduced ecosystem quality and natural resource impacts by up to 29% and 52%, and increased human health benefits by nearly 9%. Passive aeration outperformed active aeration, improving ecosystem quality by up to 175% and human health benefits by 35%, while reducing natural resource impacts by 50%. Composting at 5°C increased ecosystem quality and resource impacts by up to 32% and 7%, and reduced human health benefits by about 5% compared to 25°C.
{"title":"Parametrization of biowaste composting system for life cycle assessment","authors":"Nomena Ravoahangy , Guillaume Majeau-Bettez , Olivier Schoefs","doi":"10.1016/j.wasman.2026.115337","DOIUrl":"10.1016/j.wasman.2026.115337","url":null,"abstract":"<div><div>Composting is a widely used method for managing and valorizing biowaste. Life cycle assessment (LCA) is commonly applied to evaluate its environmental impacts. Current methods used to model life cycle inventories often oversimplify the complex physical, chemical, and biological processes involved. This study introduces the Parametrized Composting Tool for Environmental Assessment (PaCTEA), developed to better capture the influence of biowaste composition variability and operational parameters on composting environmental impacts. PaCTEA integrates a composting model that predicts direct emissions of CO<sub>2</sub>, NH<sub>3</sub>, CH<sub>4</sub>, and N<sub>2</sub>O, as well as the nutrient composition of the resulting compost. This detailed characterization enables a more accurate estimation of the potential substitution of fertilizers and peat. Even though the core of PaCTEA is a complex chemical engineering model, it is linked to a simple parametrization based on operational parameters. To demonstrate its functionality, simulations were performed to assess the influence of biowaste composition, aeration mode, and ambient temperature on the environmental performance of composting. The LCA results show clear differences between scenarios. Variations in biowaste composition reduced ecosystem quality and natural resource impacts by up to 29% and 52%, and increased human health benefits by nearly 9%. Passive aeration outperformed active aeration, improving ecosystem quality by up to 175% and human health benefits by 35%, while reducing natural resource impacts by 50%. Composting at 5°C increased ecosystem quality and resource impacts by up to 32% and 7%, and reduced human health benefits by about 5% compared to 25°C.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"212 ","pages":"Article 115337"},"PeriodicalIF":7.1,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979093","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}
Pub Date : 2026-01-15DOI: 10.1016/j.wasman.2026.115349
Amir Nobahar , Flavia N. Braga , Filipe H.B. Sosa , Nicolas Schaeffer , João A.P. Coutinho , Helena Passos
The increasing demand for platinum group metals (PGM), mainly driven by their extensive use in automotive catalytic converters, has heightened the need for efficient and green recovery methods. Simultaneously, the poultry industry generates significant amounts of keratin–rich chicken feathers (CF), which are commonly disposed of by incineration or landfilling, raising environmental concerns. This study explores the use of CF as a sustainable and cost–effective biosorbent for the selective recovery of Pd from synthetic multimetallic solutions and HCl–based spent autocatalytic converters leachates. Adsorption experiments revealed that the optimal Pd uptake (14.10 ± 0.31) mg.g−1 was achieved at 0.2 M HCl (pH ∼ 0.79), while 2 M HCl provided the highest selectivity towards Pd over other metals. Adsorption kinetics followed a pseudo–second–order model, indicating chemisorption as the dominant mechanism, and Langmuir isotherm analysis yielded a Pd adsorption capacity of (19.61 ± 1.31) mg.g−1. Desorption tests demonstrated ∼100% Pd recovery using 0.2 M thiourea + 0.5 M HCl solution. Characterization of the CF by Raman and solid–state UV–Vis spectroscopy, FTIR, SEM−EDX, and XPS confirmed the interaction of Pd with disulfide bonds and protonated amino groups as Pd–chloride complexes. Bench–scale trials on HCl–based leachates with an optimized CF to leachate ratio achieved near–complete Pd separation in a single adsorption step with high purity, highlighting the robustness and selectivity of this method under realistic conditions. Pd was successfully desorbed from CF by acidified thiourea solution, offering added value for catalytic applications.
由于铂族金属在汽车催化转化器中的广泛应用,对铂族金属(PGM)的需求不断增加,对高效和绿色回收方法的需求日益增加。同时,家禽业产生大量富含角蛋白的鸡毛(CF),这些鸡毛通常通过焚烧或填埋处理,引起了环境问题。本研究探索了将CF作为一种可持续的、具有成本效益的生物吸附剂,用于从合成多金属溶液和盐酸自催化转化器废渗滤液中选择性回收Pd。吸附实验表明,在0.2 M HCl (pH ~ 0.79)条件下,Pd的最佳吸收量为(14.10±0.31)mg.g−1,而2 M HCl对Pd的选择性高于其他金属。吸附动力学符合准二级模型,表明化学吸附是主要机理,Langmuir等温线分析得出Pd的吸附量为(19.61±1.31)mg.g−1。解吸试验表明,使用0.2 M硫脲+ 0.5 M盐酸溶液,Pd回收率为~ 100%。通过拉曼光谱、固相紫外可见光谱、红外光谱、扫描电镜- EDX和XPS表征,证实了钯与二硫键和质子化氨基之间的相互作用是钯-氯配合物。在优化的滤出液比条件下对盐酸渗滤液进行了实验,实现了单步吸附几乎完全分离Pd,且纯度高,突出了该方法在现实条件下的稳健性和选择性。通过酸化硫脲溶液成功地从CF中解吸Pd,为催化应用提供了附加价值。
{"title":"Waste–to–waste valorization: Sustainable palladium recovery from real spent catalytic converter leachates using chicken feathers","authors":"Amir Nobahar , Flavia N. Braga , Filipe H.B. Sosa , Nicolas Schaeffer , João A.P. Coutinho , Helena Passos","doi":"10.1016/j.wasman.2026.115349","DOIUrl":"10.1016/j.wasman.2026.115349","url":null,"abstract":"<div><div>The increasing demand for platinum group metals (PGM), mainly driven by their extensive use in automotive catalytic converters, has heightened the need for efficient and green recovery methods. Simultaneously, the poultry industry generates significant amounts of keratin–rich chicken feathers (CF), which are commonly disposed of by incineration or landfilling, raising environmental concerns. This study explores the use of CF as a sustainable and cost–effective biosorbent for the selective recovery of Pd from synthetic multimetallic solutions and HCl–based spent autocatalytic converters leachates. Adsorption experiments revealed that the optimal Pd uptake (14.10 ± 0.31) mg.g<sup>−1</sup> was achieved at 0.2 M HCl (pH ∼ 0.79), while 2 M HCl provided the highest selectivity towards Pd over other metals. Adsorption kinetics followed a pseudo–second–order model, indicating chemisorption as the dominant mechanism, and Langmuir isotherm analysis yielded a Pd adsorption capacity of (19.61 ± 1.31) mg.g<sup>−1</sup>. Desorption tests demonstrated ∼100% Pd recovery using 0.2 M thiourea + 0.5 M HCl solution. Characterization of the CF by Raman and solid–state UV–Vis spectroscopy, FTIR, SEM−EDX, and XPS confirmed the interaction of Pd with disulfide bonds and protonated amino groups as Pd–chloride complexes. Bench–scale trials on HCl–based leachates with an optimized CF to leachate ratio achieved near–complete Pd separation in a single adsorption step with high purity, highlighting the robustness and selectivity of this method under realistic conditions. Pd was successfully desorbed from CF by acidified thiourea solution, offering added value for catalytic applications.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"212 ","pages":"Article 115349"},"PeriodicalIF":7.1,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979026","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}