Waste management最新文献

{"title":"Metal recovery in mobile phone waste: Characterization of metal composition and economic assessment through shredding and screening processes","authors":"Joan Morell,&nbsp;David Ribas,&nbsp;Isolda Tristany,&nbsp;Xavier Guimerà,&nbsp;Antonio David Dorado","doi":"10.1016/j.wasman.2025.02.014","DOIUrl":"10.1016/j.wasman.2025.02.014","url":null,"abstract":"<div><div>Recycling mobile phones, including their batteries, has become crucial for environmental sustainability, but traditional manual dismantling methods are time-consuming and inefficient. This study aims to improve the pre-processing of end-of-life mobile phones (EoL-MPs) through industrial shredding and sieving, minimizing manual labor. For the first time, a sample of 850 mobile phones in an interval of 20 years (2000–2020) was collected and analyzed before and after being processed. EoL-MP main bodies and batteries were crushed and sieved into eight distinct size fractions. This study examined 14 metals, including aluminum (Al), copper (Cu), iron (Fe), zinc (Zn), nickel (Ni), manganese (Mn), chromium (Cr), cobalt (Co), lithium (Li), gold (Au), silver (Ag), neodymium (Nd), platinum (Pt), and palladium (Pd). The results show that 1 kg of mobile phone bodies contains approximately 278 g of metals, valued at $13.41, with $10.97 derived from Au. The metal distribution revealed that larger fractions (&gt;2 mm) are rich in structural metals such as Fe and Al. The finest fraction (&lt;0.125 mm) contained up to 435 mg/kg of Au, with enrichment factors reaching 3 to 5 for Au, Pa, and Pt. Batteries showed even higher concentrations, with 524 g of metals per kilogram, valued at $11.37/kg, predominantly from Co and Au. Co was concentrated in smaller fractions, reaching 331 g/kg in particles smaller than 1.25 mm. The study provides key insights into efficient metal recovery strategies, emphasizing the economic and environmental potential of recycling mobile phone waste. The findings highlight the importance of optimizing pre-processing methods to achieve the growing demand for sustainable waste management solutions.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"196 ","pages":"Pages 93-105"},"PeriodicalIF":7.1,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464942","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":"Harnessing corn straw biochar: A breakthrough in eco-friendly Cu(II) wastewater treatment","authors":"Na Li ,&nbsp;Fuchen Zhu ,&nbsp;Zhaowei Wang ,&nbsp;Jinghui Wu ,&nbsp;Yidi Gao ,&nbsp;Keqing Li ,&nbsp;Chunliang Zhao ,&nbsp;Xianze Wang","doi":"10.1016/j.wasman.2025.02.027","DOIUrl":"10.1016/j.wasman.2025.02.027","url":null,"abstract":"<div><div>To investigate an energy-efficient, environmentally friendly, and highly efficient biochar for adsorbing Cu(II)-containing wastewater, corn straw hydrothermal char prepared at 240 °C for 2 h was used as a precursor. Silicon (Si)-Manganese (Mn) impregnation modification was then performed to produce the modified biochar (b-BC). The study found that Si and Mn were loaded onto the b-BC surface in the form of oxides. The distinct hierarchical Si membrane effectively stabilized Mn oxides and increased the specific surface area. Under different pH conditions, the effect of Mn rendered b-BC consistently negatively charged in the solution, facilitating electrostatic attraction with Cu(II). Fourier-transform infrared and X-ray photoelectron spectroscopy results revealed that b-BC’s surface had numerous oxygen-containing functional groups, effectively binding with Cu(II). Adsorption experiments showed that, at an addition amount of 1.47 g/L and pH of 7, b-BC displayed a significant adsorption capacity for Cu(II) at 167.884 mg/g. Pseudo-second-order adsorption kinetics and Freundlich isotherm models better described the adsorption behavior of b-BC for Cu(II). The adsorption process was primarily dominated by multilayer chemical adsorption. Webber-Morris analysis indicated that the key adsorption process occurred during the membrane diffusion stage. At this stage, Cu(II) formed bonds with the b-BC surface in the forms of Cu–O, −COOCu, Cu(OH)₂, and Si/Mn-O-Cu. Chelation emerged as the most significant mechanism for b-BC adsorbing Cu(II). Due to its environmentally friendly preparation method and high efficiency in adsorbing Cu(II) from water, b-BC can be considered as a feasible rich-carbon adsorbent in the field of waste treatment.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"197 ","pages":"Pages 25-34"},"PeriodicalIF":7.1,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463940","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":"Obtaining the value of waste polyethylene mulch film through pretreatment and recycling technology in China","authors":"Akemareli Bulati ,&nbsp;Lu Zhan ,&nbsp;Zhenming Xu ,&nbsp;Kai Yang","doi":"10.1016/j.wasman.2025.02.029","DOIUrl":"10.1016/j.wasman.2025.02.029","url":null,"abstract":"<div><div>Polyethylene (PE) mulch film has been widely used in agricultural production. However, the residual PE mulch film fragments in the soil can cause severe pollution, affecting the quality of agricultural products and even the stability of the ecological environment. Moreover, PE mulch film has high calorific value and thermoplasticity, so recycling is necessary. This review provides an overview of the current pretreatment and recycling methods for waste PE mulch film, cites application examples from plastic recycling enterprises, and offers suggestions for future research directions. In the pretreatment technology, the research status of mechanical collection with high efficiency and mechanical collection with pretreatment function was summarized, and the advantages and disadvantages of different collection machines were pointed out. In the treatment technology, several technologies’ advantages, disadvantages and research progress, including incineration, thermal pyrolysis, direct regranulation and modified regranulation, were summarized. It points out that improving the degree of resource recycling and optimizing the quality of recycled products is the key to reuse. In summary, this review points out that the research on collecting and recycling waste PE mulch film requires joint efforts in raising collecting awareness, promoting resource recycling technology, preventing secondary pollution, and making positive contributions to agricultural production and ecological environment protection.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"197 ","pages":"Pages 35-49"},"PeriodicalIF":7.1,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463506","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":"A machine learning approach to feature selection and uncertainty analysis for biogas production in wastewater treatment plants","authors":"Mahsa Samkhaniani ,&nbsp;Shabnam Sadri Moghaddam ,&nbsp;Hassan Mesghali ,&nbsp;Amirhossein Ghajari ,&nbsp;Nima Gozalpour","doi":"10.1016/j.wasman.2025.02.034","DOIUrl":"10.1016/j.wasman.2025.02.034","url":null,"abstract":"<div><div>The growing demand for efficient waste management solutions and renewable energy sources has driven research into predicting biogas production at wastewater treatment plants. This study outlines a methodology starting with data collection from a full-scale plant, followed by detailed analysis to resolve potential issues. A notable advancement is the use of a robust machine learning model, fine-tuned with advanced optimization techniques. To enhance its utility, prediction intervals were incorporated to quantify uncertainty, providing decision-makers with reliable insights. Results revealed that the developed model performed well, explaining 82% of the variability in test data and delivering predictions closely aligned with actual biogas production. This reliability empowers more confident decision-making in wastewater treatment operations. The study also identified key factors influencing biogas output, categorizing them into<!--> <!-->sludge characteristics, operational practices, and sludge quantity. By focusing on most important adjustable parameters, operators can optimize processes and significantly improve biogas yields. This predictive capability, combined with an understanding of influencing factors and quantified reliability, offers notable advantages. It enables operators to enhance biogas production while providing decision-makers with reliable predictions to guide policy and resource management. These developments contribute to more sustainable and efficient waste management practices.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"197 ","pages":"Pages 14-24"},"PeriodicalIF":7.1,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463504","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":"Evaluation of long-term leaching of a full-scale carriageway using treated incineration bottom ash as subbase material","authors":"Wei Wei ,&nbsp;Qian Liu ,&nbsp;Zhibo Zhang ,&nbsp;Grzegorz Lisak ,&nbsp;Ke Yin ,&nbsp;Xunchang Fei","doi":"10.1016/j.wasman.2025.02.031","DOIUrl":"10.1016/j.wasman.2025.02.031","url":null,"abstract":"<div><div>Leaching of hazardous substances, particularly heavy metals, from incineration bottom ash (IBA) presents a significant challenge for its utilization in construction. Laboratory leaching tests are commonly used to assess the environmental compliance of IBA; however, they are conducted under controlled conditions that do not directly simulate real field situations, which lead to discrepancies between laboratory results and field monitoring due to the lack of robust linking with material- and site-specific parameters. This can lead to misjudgment of risks or unnecessary precautions. This study evaluates the long-term leaching behavior of a full-scale carriageway using IBA as a subbase material through a release model based on laboratory leaching tests. Column leaching and compacted granular leaching tests were conducted to simulate percolation- and diffusion-controlled scenarios. Additionally, the interaction between the underlying reclaimed sand (hereafter referred to as “engineered soil”) and IBA leachate was studied, considering the buffering capacity of the vadose zone to prevent the transport of elements to groundwater. A one-dimensional advection–dispersion transport model, incorporating site-specific parameters, was applied to assess the potential threat to groundwater over time. The release and transport models were combined to reflect progressive changes in source terms and arrival at the groundwater table. Various geochemical and hydrogeological parameters were determined through laboratory testing, field monitoring, and data collection to strengthen the model. The simulation spans from 100 to over 10,000 years, depending on soil retardation, and fully covers the typical lifespan of a road. Results indicated that metal elements may be influenced by different leaching scenarios, suggesting that appropriate measures can reduce leaching potential. Additionally, enhancing soil attenuation is crucial in slowing the transport of elements to groundwater.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"196 ","pages":"Pages 80-92"},"PeriodicalIF":7.1,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453585","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":"Bio-contaminated plastic micropipette tip sterilization stations: Environmentally, economically, and energetically viable solution","authors":"Arian Veyssi ,&nbsp;Laxmicharan Samineni ,&nbsp;Rashmi P. Mohanty","doi":"10.1016/j.wasman.2025.02.004","DOIUrl":"10.1016/j.wasman.2025.02.004","url":null,"abstract":"<div><div>Bioscientific research laboratories significantly contribute to global plastic waste production through their use of plastic products, such as single-use micropipette tips. Biologically contaminated pipette tips must undergo several washing and sterilization steps before being reused or recycled. There is a dearth of available research studying the feasibility of pipette tip washing and sterilization in research laboratories. While automated tip-washing systems are available commercially for tip decontamination and reuse, the high initial purchasing cost of these washing stations and concerns related to washing efficiency deter many research laboratories from incorporating them. To mitigate these concerns, considering the University of Texas at Austin as an example, we performed a cost-benefit analysis of employing a university-wide pipette tip washing station. We estimated that only a single-time reuse of pipette tips could result in a 100% return on investment from the equipment. Additionally, preliminary analysis shows that pipette tip recycling can result in significant energy and water savings. With pilot experiments, we replicated UV-based decontamination steps employed by the commercial equipment and found the washing to be 100% efficient in sterilizing pipette tips contaminated with bacteriophage, DNA, and RNA. Decontaminated pipette tips were used to conduct phage quantification to demonstrate the feasibility of reuse for biological assays. Finally, we proposed an alternative autoclave-based sterilization method that can be used in individual research labs to decontaminate pipette tips. We found autoclave-based washing to be 100% efficient in sterilizing pipette tips contaminated with bacteriophage, whereas it is not efficient enough to decontaminate DNA and RNA.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"196 ","pages":"Pages 71-79"},"PeriodicalIF":7.1,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444947","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":"An improved adaptive large neighborhood search algorithm to solve a bi-level medical waste location-routing problem with infection control","authors":"Chu Tang ,&nbsp;Qu Wei ,&nbsp;Dongqing Zhang ,&nbsp;Jinan Sun ,&nbsp;Guido Perboli ,&nbsp;Zhaoxia Guo ,&nbsp;Kang Li","doi":"10.1016/j.wasman.2025.02.016","DOIUrl":"10.1016/j.wasman.2025.02.016","url":null,"abstract":"<div><div>The rapid urbanization and population growth in major cities worldwide have led to a significant increase in medical waste generation, often containing infectious materials that require stringent handling protocols. To address the complexity of vehicle allocation and routing in this context, efficient planning methods are essential. This study introduces a comprehensive approach to the medical waste location-routing problem, incorporating multiple practical constraints such as vehicle capacity, hospital classification, infection risks, and time-window restrictions. Our novel solution integrates an exact algorithm for optimizing transfer center locations and collection routes at the upper level, combined with an improved adaptive large neighborhood search (IALNS) for routing optimization at the lower level. The IALNS leverages enhanced neighborhood exploration techniques and Pareto ranking with reward adjustment method to balance total cost and infection risk. Simulations based on real-world data from Chengdu, China, validate the effectiveness of the proposed method. Additionally, comparisons with Gurobi and other representative metaheuristic algorithms on randomly generated instances and benchmark datasets further demonstrate the superior efficiency and solution quality of the IALNS algorithm. This research provides government authorities with a practical and robust strategy for transporting infectious medical waste, enhancing both operational efficiency and public health safety.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"197 ","pages":"Pages 1-13"},"PeriodicalIF":7.1,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463505","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":"Classification and predictive leaching risk assessment of construction and demolition waste using multivariate statistical and machine learning analyses","authors":"Andrea Bisciotti ,&nbsp;Valentina Brombin ,&nbsp;Yu Song ,&nbsp;Gianluca Bianchini ,&nbsp;Giuseppe Cruciani","doi":"10.1016/j.wasman.2025.02.033","DOIUrl":"10.1016/j.wasman.2025.02.033","url":null,"abstract":"<div><div>Managing construction and demolition waste (CDW) poses serious concerns regarding landfilling and recycling because of the potential release of hazardous elements after leaching. Ceramic materials such as bricks, tiles, and porcelain account for more than 70% of CDW. Fourteen samples of different CDW products from Ferrara (Northeast Italy) were subjected to geochemical analyses, including leaching tests, in accordance with UNI EN 12457–2. The interaction between ceramics and concrete was examined, highlighting the influence of mixed environments on the leaching behavior. Results were compared with an extensive database of more than 150 samples collected from the literature on different CDW types worldwide. Multivariate statistical analysis and machine learning were used to classify the CDW compositions based on the bulk chemical data. Various metrics—contaminant factors (C_f and C_d) and hazardous quotients (HQ and HQ_m)—were introduced to quantify the key environmental hazards of leachates. The results of this study underscore the potential of the proposed approaches in automating CDW classification and predicting C_f and HQ using only the starting bulk chemical composition. The findings enhance CDW management practices and support sustainability efforts in the construction industry.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"196 ","pages":"Pages 60-70"},"PeriodicalIF":7.1,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative evaluation of phosphorus recovery from sewage sludge thermal products via magnesium ammonium phosphate and hydroxyapatite methods","authors":"Aijia Zhang,&nbsp;Xinyi Luo,&nbsp;Jing Liu,&nbsp;Yingju Yang,&nbsp;Yu Qiao","doi":"10.1016/j.wasman.2025.02.023","DOIUrl":"10.1016/j.wasman.2025.02.023","url":null,"abstract":"<div><div>Shortage of phosphorus resource has become a global concern. Due to the high phosphorus content in sewage sludge, phosphorus recovery can be realized from thermal products of sewage sludge. Phosphorus recovery performance of smoldering ash (SA), incineration ash (IA) and pyrolysis char (PC) was investigated. The precipitate rate of phosphorus in acid and alkali leaching solutions is over 94 % by magnesium ammonium phosphate (MAP) and hydroxyapatite (HAP) methods. For MAP method, the recovered P contents in the precipitations of SA, IA and PC are 23.25 ± 0.35, 31.71 ± 0.79 and 23.76 ± 0.24 mg/g, respectively. For HAP recovery, the phosphorus contents per unit mass of precipitated products are lower than that by MAP, ranging from 13.67 ± 0.10 to 22.89 ± 0.34 mg/g. The purity of the recovered products was evaluated based on the contents of major elements and heavy metals in recovered products. Most of major elements and heavy metals can coprecipitate with phosphorus in the recovery products by acid leaching-MAP method. Due to the low impurity content in the alkali leaching solution and insolubility of most heavy metals in it, the products recovered by alkali leaching-HAP shows higher purity than that by acid leaching-MAP method. The phosphorus recovery performance, reagent consumption and purity of recovered products of the two methods were compared. Acid leaching-MAP recovery is optimal for IA due to its highest P recovery and purity, with lower reagent consumption compared to alkali leaching-HAP. For SA and PC, alkali leaching-HAP recovery is preferable due to its higher P recovery purity and market price of hydroxyapatite products.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"196 ","pages":"Pages 51-59"},"PeriodicalIF":7.1,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438050","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":"A novel method of accounting for plastic packaging waste","authors":"Henna Jylhä,&nbsp;Annika Johansson,&nbsp;Jaana Sorvari,&nbsp;Jani Salminen","doi":"10.1016/j.wasman.2025.02.022","DOIUrl":"10.1016/j.wasman.2025.02.022","url":null,"abstract":"<div><div>The European Union (EU) has set itself the goal of becoming a resource-efficient circular economy. It has therefore begun tackling its increasing amounts of packaging waste using both regulations and strategies, with member countries aiming to increase their recycling rates for plastic packaging to 55% by 2030. However, the EU member states have different methods for collecting data on waste recycling rates, which makes it difficult to compare their performance in reaching that target. This article introduces a method to compile industry-specific accounting of plastic packaging, using the Finnish economy as an example. The method combines packaging data from the extended producer responsibility scheme with standard economic statistics, thus enabling the calculation of transparent estimates of the total amount of plastic packaging placed on the market. It also provides data for sector-specific waste management strategies that are aimed at achieving higher packaging material recycling rates. The method is compared to an approach based on waste analysis, demonstrating that results using packaging placed on the market are more reliable. The available data is also linked to generalisations in composition studies that have their own uncertainties.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"196 ","pages":"Pages 42-50"},"PeriodicalIF":7.1,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}