Pub Date : 2026-01-09DOI: 10.1016/j.resconrec.2026.108781
Mohammad Sagor Hosen , Heon E. Park , Mark P. Staiger
Dimensional instability remains a principal concern in extrusion-based additive manufacturing, driven by volumetric shrinkage stemming from microstructural changes, especially throughout closed-loop recycling of semicrystalline polymers such as poly(ethylene terephthalate) (PET). The present study investigates the microstructural evolution and corresponding volumetric shrinkage of modified-PET (mPET) quantifying key microstructural contents (i.e., degree of crystallinity, and mobile and rigid amorphous fractions) across 4 fused particle fabrication cycles for the first time. The results reveal proto-spherullite formation in recycled mPET microstructure and associated microstructural changes that cause progressive volumetric shrinkage. The degree of crystallinity and rigid amorphous content are found to vary as a function of the FPF cycle number. Notably, recycled mPET exhibited an increase in density from 1.23 to 1.30 g/cm³ and volumetric shrinkage from 0 to 4.8 % following 4 FPF cycles. The study observations have important implications for predicting dimensional accuracy in 3D-printed parts manufactured from both virgin and recycled semicrystalline polymers using extrusion-based additive manufacturing.
{"title":"Toward circular, value-added recycling of modified-poly(ethylene terephthalate): Microstructure and performance across multiple fused particle fabrication cycles","authors":"Mohammad Sagor Hosen , Heon E. Park , Mark P. Staiger","doi":"10.1016/j.resconrec.2026.108781","DOIUrl":"10.1016/j.resconrec.2026.108781","url":null,"abstract":"<div><div>Dimensional instability remains a principal concern in extrusion-based additive manufacturing, driven by volumetric shrinkage stemming from microstructural changes, especially throughout closed-loop recycling of semicrystalline polymers such as poly(ethylene terephthalate) (PET). The present study investigates the microstructural evolution and corresponding volumetric shrinkage of modified-PET (mPET) quantifying key microstructural contents (<em>i.e.</em>, degree of crystallinity, and mobile and rigid amorphous fractions) across 4 fused particle fabrication cycles for the first time. The results reveal proto-spherullite formation in recycled mPET microstructure and associated microstructural changes that cause progressive volumetric shrinkage. The degree of crystallinity and rigid amorphous content are found to vary as a function of the FPF cycle number. Notably, recycled mPET exhibited an increase in density from 1.23 to 1.30 g/cm³ and volumetric shrinkage from 0 to 4.8 % following 4 FPF cycles. The study observations have important implications for predicting dimensional accuracy in 3D-printed parts manufactured from both virgin and recycled semicrystalline polymers using extrusion-based additive manufacturing.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"228 ","pages":"Article 108781"},"PeriodicalIF":10.9,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145915293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2026-01-09DOI: 10.1016/j.resconrec.2025.108769
Asahi Amitani, Sabbie A. Miller
There is an urgent need to decarbonize cement and concrete production. One of the most rapidly implementable strategies is to partially replace Portland cement (PC) in concrete with supplementary cementitious materials (SCMs), such as natural pozzolans (NPs), which are globally abundant but underused. Current studies have focused on only one or a subset of NPs and used inconsistent approaches for estimating their environmental impacts and production costs, hindering the ability to compare these SCMs and determine their best applications. We systematically review NPs—including calcined clays, diatomaceous earth, pumice, scoria, and tuff—to examine both their composition as well as their contributions to fresh and hardened concrete properties. We use a harmonized assessment approach to examine greenhouse gas (GHG) emissions and costs from producing concrete with these NPs, and we concurrently examine experimental results from the review with these emissions and cost findings. Our results show that these NPs can offer necessary composition, improve durability, and offer desired contributions to strength with proper mixture proportioning. On average, NP concretes resulted in 7–24 % GHG emissions reduction, while lowering consumption of the costliest constituent, PC. These results demonstrate that, with appropriate selection and processing, NPs offer a scalable, cost-effective route to partial PC replacement, advancing concrete decarbonization.
{"title":"Material performance, economic feasibility, and greenhouse gas emissions of natural pozzolans in concrete: A review and meta-analysis","authors":"Asahi Amitani, Sabbie A. Miller","doi":"10.1016/j.resconrec.2025.108769","DOIUrl":"10.1016/j.resconrec.2025.108769","url":null,"abstract":"<div><div>There is an urgent need to decarbonize cement and concrete production. One of the most rapidly implementable strategies is to partially replace Portland cement (PC) in concrete with supplementary cementitious materials (SCMs), such as natural pozzolans (NPs), which are globally abundant but underused. Current studies have focused on only one or a subset of NPs and used inconsistent approaches for estimating their environmental impacts and production costs, hindering the ability to compare these SCMs and determine their best applications. We systematically review NPs—including calcined clays, diatomaceous earth, pumice, scoria, and tuff—to examine both their composition as well as their contributions to fresh and hardened concrete properties. We use a harmonized assessment approach to examine greenhouse gas (GHG) emissions and costs from producing concrete with these NPs, and we concurrently examine experimental results from the review with these emissions and cost findings. Our results show that these NPs can offer necessary composition, improve durability, and offer desired contributions to strength with proper mixture proportioning. On average, NP concretes resulted in 7–24 % GHG emissions reduction, while lowering consumption of the costliest constituent, PC. These results demonstrate that, with appropriate selection and processing, NPs offer a scalable, cost-effective route to partial PC replacement, advancing concrete decarbonization.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"228 ","pages":"Article 108769"},"PeriodicalIF":10.9,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145915292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2026-01-08DOI: 10.1016/j.resconrec.2025.108773
Boda Xin , Yiyun Yu , Meiyi Li , Yiming Gu , Yahui Zhang , Junfeng Wang
Interprovincial electricity transmission is vital for decarbonizing China's power system, yet its impact on Grid Emission Factors (GEFs) remains underexplored. This study employs the Medium-to-Long-Term Provincial Grid Emission Factor Model (MLGEFM) to simulate provincial GEFs and carbon trajectories from 2020 to 2035 under four transmission scenarios. Results reveal significant national decarbonization, with the average GEF falling from 0.559 to 0.320 tCO₂/MWh by 2035 under the Emission Targeted Scenario (ETS). However, transmission mechanisms exert heterogeneous regional impacts. While scale expansion reduces GEFs in central and southern China (e.g., -20.0% in Henan), it inadvertently raises GEFs in north and east China (e.g., +24.7% in Beijing). In contrast, structural optimization under ETS further reduces GEFs by 7.6% in Beijing and 13.1% in Shanghai. Although all scenarios achieve a national carbon peak around 2030, ETS achieves the optimal trajectory with a lower peak magnitude and steeper decline.
{"title":"Discover how interprovincial electricity transmission policies on transforming the regional variations in grid emission factors in China","authors":"Boda Xin , Yiyun Yu , Meiyi Li , Yiming Gu , Yahui Zhang , Junfeng Wang","doi":"10.1016/j.resconrec.2025.108773","DOIUrl":"10.1016/j.resconrec.2025.108773","url":null,"abstract":"<div><div>Interprovincial electricity transmission is vital for decarbonizing China's power system, yet its impact on Grid Emission Factors (GEFs) remains underexplored. This study employs the Medium-to-Long-Term Provincial Grid Emission Factor Model (MLGEFM) to simulate provincial GEFs and carbon trajectories from 2020 to 2035 under four transmission scenarios. Results reveal significant national decarbonization, with the average GEF falling from 0.559 to 0.320 tCO₂/MWh by 2035 under the Emission Targeted Scenario (ETS). However, transmission mechanisms exert heterogeneous regional impacts. While scale expansion reduces GEFs in central and southern China (e.g., -20.0% in Henan), it inadvertently raises GEFs in north and east China (e.g., +24.7% in Beijing). In contrast, structural optimization under ETS further reduces GEFs by 7.6% in Beijing and 13.1% in Shanghai. Although all scenarios achieve a national carbon peak around 2030, ETS achieves the optimal trajectory with a lower peak magnitude and steeper decline.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108773"},"PeriodicalIF":10.9,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2026-01-08DOI: 10.1016/j.resconrec.2026.108782
Jiaqi Liao , Han Cheng , Shibing Cai , Jincheng Lu , Zhezhen Yan , Ning Duan , Fuyuan Xu
To address challenges in precise copper concentration prediction and optimal electrolyte diversion in copper hydrometallurgy, this study develops a multi-model framework integrating machine learning (ML) prediction, mechanistic constraints, and collaborative optimization. Among 11 algorithms, the Bayesian-optimized extremely randomized trees (ET) model outperforms others in predicting circulating tank effluent copper concentration, achieving an R2 of 0.839, a MAPE of 1.20%, and 18.68-fold higher accuracy than mechanistic models. SHAP analysis identifies key factors influencing copper concentration. Leveraging ET predictions and mechanistic material conservation, a strategy encompassing dynamic benchmarks, segmented diversion, and closed-loop regulation enables real-time optimization of copper concentration and diversion through two-stage electrowinning, with annual energy savings of 4.72 million kWh. This multi-model methodology provides a replicable paradigm for the intelligent transformation of copper hydrometallurgy, boosting resource conservation and recycling in metallurgy. Its cross-model integration extends to multi-objective optimization in other complex metallurgical processes, offering far-reaching environmental and economic benefits.
{"title":"Data-driven optimization for sustainable copper recovery and electrolyte recycling in hydrometallurgical processes","authors":"Jiaqi Liao , Han Cheng , Shibing Cai , Jincheng Lu , Zhezhen Yan , Ning Duan , Fuyuan Xu","doi":"10.1016/j.resconrec.2026.108782","DOIUrl":"10.1016/j.resconrec.2026.108782","url":null,"abstract":"<div><div>To address challenges in precise copper concentration prediction and optimal electrolyte diversion in copper hydrometallurgy, this study develops a multi-model framework integrating machine learning (ML) prediction, mechanistic constraints, and collaborative optimization. Among 11 algorithms, the Bayesian-optimized extremely randomized trees (ET) model outperforms others in predicting circulating tank effluent copper concentration, achieving an R<sup>2</sup> of 0.839, a MAPE of 1.20%, and 18.68-fold higher accuracy than mechanistic models. SHAP analysis identifies key factors influencing copper concentration. Leveraging ET predictions and mechanistic material conservation, a strategy encompassing dynamic benchmarks, segmented diversion, and closed-loop regulation enables real-time optimization of copper concentration and diversion through two-stage electrowinning, with annual energy savings of 4.72 million kWh. This multi-model methodology provides a replicable paradigm for the intelligent transformation of copper hydrometallurgy, boosting resource conservation and recycling in metallurgy. Its cross-model integration extends to multi-objective optimization in other complex metallurgical processes, offering far-reaching environmental and economic benefits.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108782"},"PeriodicalIF":10.9,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2026-01-08DOI: 10.1016/j.resconrec.2026.108783
Zhi Gao , Ruitao You , Kecheng Pan , Qingsheng Huang , Zhenzhen Xu , Long-Shuai Zhang , Jian-Ping Zou
Herein, we show a bioinspired nitrogen-rich covalent organic framework (COFTGTp) with high acid stability and excellent radiation resistance in simulated high-level liquid waste (HLLW). It exhibits the intriguing local self-adaptive behavior to precisely recognize Pd2+ in 3 M HNO3, achieving a high adsorption capacity (317.4 mg g-1) and >99.98% recovery efficiency. Importantly, even in 17 competing ions, the COFTGTp still shows the remarkable Pd2+ selectivity and outstanding Kd value. EXAFS results disclose that the Pd2+ confined in COFTGTp interlayer displays the unsymmetrical Pd-N2 single-site pattern. Noticeably, the Pd2+-confined COFTGTp obtained from HLLW effectively drives O2-to-H2O2 photosynthesis (3002 µmol g-1 h-1). The mechanism studies confirm that the unsymmetrical Pd-N2 site favors the formation of key *HOOH intermediate. The recovery of Pd from HLLW to make a photocatalyst is proposed for the first time, which may stimulate the research into the design of novel COFs to upcycle metal waste into functional, catalytic materials.
在此,我们在模拟高放废液(HLLW)中展示了一种具有高酸稳定性和优异耐辐射性的富氮共价有机骨架(COFTGTp)。在3 M HNO3中精确识别Pd2+,具有良好的局部自适应行为,吸附量高达317.4 mg g-1,回收率高达99.98%。重要的是,即使在17个竞争离子中,COFTGTp仍然表现出显著的Pd2+选择性和出色的Kd值。EXAFS结果表明,限制在COFTGTp层中的Pd2+表现出不对称的Pd-N2单位点模式。值得注意的是,从HLLW中获得的Pd2+限制性COFTGTp有效地驱动了o2 - h2o2的光合作用(3002µmol g-1 h-1)。机理研究证实,Pd-N2位点的不对称有利于关键*HOOH中间体的形成。本文首次提出了从高废渣中回收Pd制备光催化剂的方法,这可能会激发新型COFs的设计研究,从而将金属废物升级为功能催化材料。
{"title":"Recycling high-level liquid waste into covalent organic framework confined unsymmetrical single Pd-N2 site toward H2O2 photosynthesis","authors":"Zhi Gao , Ruitao You , Kecheng Pan , Qingsheng Huang , Zhenzhen Xu , Long-Shuai Zhang , Jian-Ping Zou","doi":"10.1016/j.resconrec.2026.108783","DOIUrl":"10.1016/j.resconrec.2026.108783","url":null,"abstract":"<div><div>Herein, we show a bioinspired nitrogen-rich covalent organic framework (COF<sub>TGTp</sub>) with high acid stability and excellent radiation resistance in simulated high-level liquid waste (HLLW). It exhibits the intriguing local self-adaptive behavior to precisely recognize Pd<sup>2+</sup> in 3 M HNO<sub>3</sub>, achieving a high adsorption capacity (317.4 mg g<sup>-1</sup>) and >99.98% recovery efficiency. Importantly, even in 17 competing ions, the COF<sub>TGTp</sub> still shows the remarkable Pd<sup>2+</sup> selectivity and outstanding <em>K</em><sub>d</sub> value. EXAFS results disclose that the Pd<sup>2+</sup> confined in COF<sub>TGTp</sub> interlayer displays the unsymmetrical Pd-N<sub>2</sub> single-site pattern. Noticeably, the Pd<sup>2+</sup>-confined COF<sub>TGTp</sub> obtained from HLLW effectively drives O<sub>2</sub>-to-H<sub>2</sub>O<sub>2</sub> photosynthesis (3002 µmol g<sup>-1</sup> h<sup>-1</sup>). The mechanism studies confirm that the unsymmetrical Pd-N<sub>2</sub> site favors the formation of key *HOOH intermediate. The recovery of Pd from HLLW to make a photocatalyst is proposed for the first time, which may stimulate the research into the design of novel COFs to upcycle metal waste into functional, catalytic materials.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108783"},"PeriodicalIF":10.9,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2026-01-08DOI: 10.1016/j.resconrec.2025.108776
Florian Halter , Lars Wietschel , Denny Schüppel , Nicoletta Narres , Anna Schneller , Kevin Christopher Dorling , Andrea Thorenz , Dietmar Koch , Axel Tuma
The circular economy and the use of lightweight composites are two promising concepts for reducing resource consumption in future products. While circular economy approaches close loops and minimize resource loss, the application-specific design of composites reduces material demand. This study combines these concepts by discussing circular economy approaches for the lightweight material class of ceramic matrix composites. Suitable approaches were identified and compared using life cycle assessments to determine the environmental impact reductions. Twenty-two circular economy approaches were identified for the primary processing routes on four different life-cycle stages (circular inputs, external and internal loops, and end-of-life (EoL)). The most significant reduction is achieved by alternative input materials and EoL options, especially by using recycled carbon fibers, followed by various EoL options, such as recycling and repair processes. Combining several circular economy approaches reduces the current global warming potential of processing routes for CMC by up to 94%.
{"title":"Quantifying environmental impacts of circular economy approaches through life cycle assessments: A case study in materials science on ceramic matrix composites","authors":"Florian Halter , Lars Wietschel , Denny Schüppel , Nicoletta Narres , Anna Schneller , Kevin Christopher Dorling , Andrea Thorenz , Dietmar Koch , Axel Tuma","doi":"10.1016/j.resconrec.2025.108776","DOIUrl":"10.1016/j.resconrec.2025.108776","url":null,"abstract":"<div><div>The circular economy and the use of lightweight composites are two promising concepts for reducing resource consumption in future products. While circular economy approaches close loops and minimize resource loss, the application-specific design of composites reduces material demand. This study combines these concepts by discussing circular economy approaches for the lightweight material class of ceramic matrix composites. Suitable approaches were identified and compared using life cycle assessments to determine the environmental impact reductions. Twenty-two circular economy approaches were identified for the primary processing routes on four different life-cycle stages (circular inputs, external and internal loops, and end-of-life (EoL)). The most significant reduction is achieved by alternative input materials and EoL options, especially by using recycled carbon fibers, followed by various EoL options, such as recycling and repair processes. Combining several circular economy approaches reduces the current global warming potential of processing routes for CMC by up to 94%.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108776"},"PeriodicalIF":10.9,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2026-01-07DOI: 10.1016/j.resconrec.2026.108780
Yubo Wu , Yun Wei , Xunsheng Guo , Haitao Yang , Tian Liu , Huiqin Hu , Guang Yang , Xubiao Luo , Liming Yang
Polymer-based adsorbents hold great promise for direct lithium extraction (DLE) due to their accessible structural tunability and process adaptability, yet suffer from unsatisfactory Li+ selectivity in low-quality lithium sources. A class of fluorine-based materials (labeled as FBM-1, FBM-2 and FBM-3) were designed and fabricated for lithium adsorption via ester-linked fluorine functional moieties. Remarkably, FBM-2 achieves an exceptional Li+ distribution coefficient exceeding 110 mL g-1, presenting a 10-fold enhancement over conventional lithium adsorption materials. The introduced oxygen atoms are enabled to enhance electron cloud density at fluoride adsorption sites, with boosted Li+ accessibility and more negative adsorption energy. To simplify process and broaden practical application adaptability, the FBM-2 was shaped into fibrous adsorbent, with exceptional Li+ selectivity (α of Li+/Na+=13.37) and stability (cycle > 15 times). This work provides a valuable guidance for designing advanced polymeric materials to directly extract lithium from complex aqueous systems.
聚合物基吸附剂由于其结构可调性和工艺适应性,在直接锂提取(DLE)方面具有很大的前景,但在低质量锂源中Li+选择性不理想。设计并制备了一类氟基材料(标记为FBM-1, FBM-2和FBM-3),用于通过酯连接氟功能基团吸附锂。值得注意的是,FBM-2的Li+分布系数超过110 mL g-1,比传统的锂吸附材料提高了10倍。引入的氧原子能够增强氟吸附位点的电子云密度,提高Li+的可及性和更多的负吸附能。为了简化工艺和扩大实际应用适应性,将FBM-2制成纤维状吸附剂,具有优异的Li+选择性(Li+/Na+的α值=13.37)和稳定性(循环15次)。这项工作为设计先进的聚合物材料直接从复杂的水体系中提取锂提供了有价值的指导。
{"title":"Ultrahigh-selective lithium adsorption from low-quality lithium sources via oxygen-enhanced fluorine-lithium affinity","authors":"Yubo Wu , Yun Wei , Xunsheng Guo , Haitao Yang , Tian Liu , Huiqin Hu , Guang Yang , Xubiao Luo , Liming Yang","doi":"10.1016/j.resconrec.2026.108780","DOIUrl":"10.1016/j.resconrec.2026.108780","url":null,"abstract":"<div><div>Polymer-based adsorbents hold great promise for direct lithium extraction (DLE) due to their accessible structural tunability and process adaptability, yet suffer from unsatisfactory Li<sup>+</sup> selectivity in low-quality lithium sources. A class of fluorine-based materials (labeled as FBM-1, FBM-2 and FBM-3) were designed and fabricated for lithium adsorption via ester-linked fluorine functional moieties. Remarkably, FBM-2 achieves an exceptional Li<sup>+</sup> distribution coefficient exceeding 110 mL g<sup>-1</sup>, presenting a 10-fold enhancement over conventional lithium adsorption materials. The introduced oxygen atoms are enabled to enhance electron cloud density at fluoride adsorption sites, with boosted Li<sup>+</sup> accessibility and more negative adsorption energy. To simplify process and broaden practical application adaptability, the FBM-2 was shaped into fibrous adsorbent, with exceptional Li<sup>+</sup> selectivity (<em>α</em> of Li<sup>+</sup>/Na<sup>+</sup>=13.37) and stability (cycle > 15 times). This work provides a valuable guidance for designing advanced polymeric materials to directly extract lithium from complex aqueous systems.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108780"},"PeriodicalIF":10.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2026-01-07DOI: 10.1016/j.resconrec.2026.108777
Ziyue Yu , Hang Han , Fan Zhang
Bioenergy crops offer potential for mitigating greenhouse gas emissions, although the global abatement potential across different land use types remains insufficiently researched. Based on a meta-analysis of 718 publications covering 74 species across 31 countries, this study quantified yield, GHG emissions, and mitigation potential under various land systems. Results reveal that land-crop configurations fundamentally determine GHG tradeoffs: croplands optimize synergies, (e.g., Miscanthus: 12.93 t ha⁻¹ yr⁻¹ yield, 4.14 t CO₂-eq ha⁻¹ yr⁻¹ emissions), forests increase emissions despite high productivity, and wetlands perform poorly. Random forest modeling identified key drivers (e.g., clay content for yield, rotation frequency for emissions). Long-term projections show Miscanthus maintains robust productivity and stable emissions until 2050, while uncertainty rises for other crops. Strategic prioritization recommends Miscanthus on croplands/grasslands and avoidance of high-emission systems. The results underscore that scalable bioenergy deployment aligned with Paris Agreement targets requires context-specific land-crop matching and strict avoidance of high-emission types.
{"title":"Global meta-analysis of bioenergy crops reveals substantial greenhouse gas mitigation potential","authors":"Ziyue Yu , Hang Han , Fan Zhang","doi":"10.1016/j.resconrec.2026.108777","DOIUrl":"10.1016/j.resconrec.2026.108777","url":null,"abstract":"<div><div>Bioenergy crops offer potential for mitigating greenhouse gas emissions, although the global abatement potential across different land use types remains insufficiently researched. Based on a meta-analysis of 718 publications covering 74 species across 31 countries, this study quantified yield, GHG emissions, and mitigation potential under various land systems. Results reveal that land-crop configurations fundamentally determine GHG tradeoffs: croplands optimize synergies, (e.g., Miscanthus: 12.93 t ha⁻¹ yr⁻¹ yield, 4.14 t CO₂-eq ha⁻¹ yr⁻¹ emissions), forests increase emissions despite high productivity, and wetlands perform poorly. Random forest modeling identified key drivers (e.g., clay content for yield, rotation frequency for emissions). Long-term projections show Miscanthus maintains robust productivity and stable emissions until 2050, while uncertainty rises for other crops. Strategic prioritization recommends Miscanthus on croplands/grasslands and avoidance of high-emission systems. The results underscore that scalable bioenergy deployment aligned with Paris Agreement targets requires context-specific land-crop matching and strict avoidance of high-emission types.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108777"},"PeriodicalIF":10.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
Cellulose nanocrystals (CNCs) are renewable, high-value nanomaterials with broad industrial applications. Based on laboratory-scale experimental data, this study demonstrates the feasibility of utilizing sugar maple forest residues for 10 metric tons per day (MTPD) production of CNC through an integrated techno-economic analysis (TEA) and life cycle assessment (LCA). The minimum selling price (MSP) of CNC was estimated at $16.03/kg, with a global warming (GW) impact of 28.60 kg CO₂ eq/kg CNC. Sensitivity analysis identified CNC yield and pretreatment solids loading as key drivers for the economic and environmental performance of the process. Monte Carlo simulations yielded 90% MSP confidence interval of $13.33–19.23/kg, while key impact categories including GW, marine eutrophication, smog formation, and ozone depletion showed low variability, indicating model robustness. The environmental risk assessment revealed that forest residues offer a sustainable valorization pathway with the process accompanied by risks tied to chemical usage and waste management.
{"title":"Cellulose nanocrystals from forest residues: An integrated techno-economic analysis and life cycle assessment","authors":"Rahul Prasad Bangalore Ashok , Richard Bergman , Md Shahadat Hossain , Deepak Kumar , Prakash Nepal , Troy Runge","doi":"10.1016/j.resconrec.2026.108778","DOIUrl":"10.1016/j.resconrec.2026.108778","url":null,"abstract":"<div><div>Cellulose nanocrystals (CNCs) are renewable, high-value nanomaterials with broad industrial applications. Based on laboratory-scale experimental data, this study demonstrates the feasibility of utilizing sugar maple forest residues for 10 metric tons per day (MTPD) production of CNC through an integrated techno-economic analysis (TEA) and life cycle assessment (LCA). The minimum selling price (MSP) of CNC was estimated at $16.03/kg, with a global warming (GW) impact of 28.60 kg CO₂ eq/kg CNC. Sensitivity analysis identified CNC yield and pretreatment solids loading as key drivers for the economic and environmental performance of the process. Monte Carlo simulations yielded 90% MSP confidence interval of $13.33–19.23/kg, while key impact categories including GW, marine eutrophication, smog formation, and ozone depletion showed low variability, indicating model robustness. The environmental risk assessment revealed that forest residues offer a sustainable valorization pathway with the process accompanied by risks tied to chemical usage and waste management.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108778"},"PeriodicalIF":10.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2026-01-07DOI: 10.1016/j.resconrec.2025.108775
Jie Yu , Sizhe Xue , Junhong Ye , Fei Teng , Minxin Yang , Jiangtao Yu , Zhenjun Yang , Yiwei Weng , Jian-Guo Dai , Viktor Mechtcherine
The rising global demand for concrete poses a significant challenge to reducing carbon emissions. Recycling waste glass offers a sustainable alternative by reducing landfill burden and conserving resources. However, conventional mix design methods are inefficient when recycled materials are involved, and many existing machine learning approaches overlook the materials genome and lack experimental validation. This study introduces an inverse design methodology using a Conditional Invertible Neural Network to generate concrete mixtures containing waste glass that meet target compressive strengths. By integrating physical and chemical properties of raw materials into the generative model, the proposed approach enables efficient and accurate mixture design. Experimental validation shows 93.5% accuracy for a 55 MPa target strength within one minute. This method can reduce carbon emissions by up to 92.4% through the recycling of global waste glass. This scalable, cost-effective strategy supports the development of high-performance, low-carbon concrete aligned with broader circular economy goals.
{"title":"Generative inverse design of sustainable concrete via global waste glass recycling","authors":"Jie Yu , Sizhe Xue , Junhong Ye , Fei Teng , Minxin Yang , Jiangtao Yu , Zhenjun Yang , Yiwei Weng , Jian-Guo Dai , Viktor Mechtcherine","doi":"10.1016/j.resconrec.2025.108775","DOIUrl":"10.1016/j.resconrec.2025.108775","url":null,"abstract":"<div><div>The rising global demand for concrete poses a significant challenge to reducing carbon emissions. Recycling waste glass offers a sustainable alternative by reducing landfill burden and conserving resources. However, conventional mix design methods are inefficient when recycled materials are involved, and many existing machine learning approaches overlook the materials genome and lack experimental validation. This study introduces an inverse design methodology using a Conditional Invertible Neural Network to generate concrete mixtures containing waste glass that meet target compressive strengths. By integrating physical and chemical properties of raw materials into the generative model, the proposed approach enables efficient and accurate mixture design. Experimental validation shows 93.5% accuracy for a 55 MPa target strength within one minute. This method can reduce carbon emissions by up to 92.4% through the recycling of global waste glass. This scalable, cost-effective strategy supports the development of high-performance, low-carbon concrete aligned with broader circular economy goals.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108775"},"PeriodicalIF":10.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}