ACS Sustainable Resource Management最新文献_第9页

Sustainability Assessment in Craft Beer Production: Environmental, Economic, and Exergetic Analyses 精酿啤酒生产的可持续性评估：环境、经济和活力分析

ACS Sustainable Resource Management Pub Date : 2025-05-09 DOI: 10.1021/acssusresmgt.4c0037410.1021/acssusresmgt.4c00374

Olga P. Fuentes, Santiago Vásquez, Diana M. Trujillo, Mauricio E. Sánchez, Juan C. Cruz* and Luis H. Reyes*,

{"title":"Sustainability Assessment in Craft Beer Production: Environmental, Economic, and Exergetic Analyses","authors":"Olga P. Fuentes, Santiago Vásquez, Diana M. Trujillo, Mauricio E. Sánchez, Juan C. Cruz* and Luis H. Reyes*, ","doi":"10.1021/acssusresmgt.4c0037410.1021/acssusresmgt.4c00374","DOIUrl":"https://doi.org/10.1021/acssusresmgt.4c00374https://doi.org/10.1021/acssusresmgt.4c00374","url":null,"abstract":"In recent years, the craft microbrewery industry has grown notably, contributing to the global economy and increasing the demand for sustainable practices. This expansion underscores the need for focused research on the sustainability of this industry. This study evaluates craft beer production from environmental, economic, and exergetic perspectives. Life cycle assessment (LCA) results of craft beer production revealed raw materials (51%) and transportation (31%) as the main environmental impact contributors. A sensitivity analysis comparing raw material sourcing from Europe, Brazil, and Argentina revealed that sourcing from Brazil instead of Europe reduced impacts by up to 22%. The economic analysis confirmed the feasibility of craft beer production, with promising indicators including a net present value of $US 49,422, a modified internal rate of return of 16.92%, and a benefit–cost ratio of 3.02. Additionally, exergetic analysis identified the first filtration as the greatest contributor to the overall exergy destruction (68%), highlighting opportunities for energy efficiency strategies. This comprehensive study underscores the importance of environmental, economic, and exergy analyses in achieving the sustainability of craft beer production. Furthermore, this study provides insights for process improvement through technological advancements and sustainable practices, supporting guidance for decision-making and fostering innovation in the craft beer industry.","PeriodicalId":100015,"journal":{"name":"ACS Sustainable Resource Management","volume":"2 5","pages":"691–700 691–700"},"PeriodicalIF":0.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144104972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fireside Chat with Holger Braunschweig: Sustainability and Boron 与霍尔格·布伦瑞克的炉边谈话：可持续发展和硼

ACS Sustainable Resource Management Pub Date : 2025-05-08 DOI: 10.1021/acssusresmgt.5c0020710.1021/acssusresmgt.5c00207

Milad Kamkar, and , Thalappil Pradeep*,

引用次数: 0

Pit Latrines Are Antimicrobial Pollution Hot Spots: Practical Circular Economy and Chemical Engineering Solutions 坑式厕所是抗菌污染热点：实用的循环经济和化学工程解决方案

ACS Sustainable Resource Management Pub Date : 2025-05-07 DOI: 10.1021/acssusresmgt.5c0010810.1021/acssusresmgt.5c00108

Stephen Super Barasa*, Majid Sedighi and John M. Gardiner,

引用次数: 0

Waste Grease to Tunable Biobased Copolymers: Brown Grease Fatty Amide Analogs as Antibacterial Epoxy Curing Agents 废油脂可调生物基共聚物：棕色油脂脂肪酰胺类似物作为抗菌环氧固化剂

ACS Sustainable Resource Management Pub Date : 2025-05-06 DOI: 10.1021/acssusresmgt.5c0015510.1021/acssusresmgt.5c00155

Masoud Kazem-Rostami*, Victor Ryu, Nicholas Latona, Charles A. Mullen, Joseph Uknalis, Karen Wagner, Kerby Jones, Victor Wyatt, Xuetong Fan, Richard D. Ashby and Helen Ngo,

{"title":"Waste Grease to Tunable Biobased Copolymers: Brown Grease Fatty Amide Analogs as Antibacterial Epoxy Curing Agents","authors":"Masoud Kazem-Rostami*, Victor Ryu, Nicholas Latona, Charles A. Mullen, Joseph Uknalis, Karen Wagner, Kerby Jones, Victor Wyatt, Xuetong Fan, Richard D. Ashby and Helen Ngo, ","doi":"10.1021/acssusresmgt.5c0015510.1021/acssusresmgt.5c00155","DOIUrl":"https://doi.org/10.1021/acssusresmgt.5c00155https://doi.org/10.1021/acssusresmgt.5c00155","url":null,"abstract":"Arylated and non-arylated fatty amide analogs derived from waste grease and beechwood creosote are utilized as sustainable epoxy curing agents to produce biobased thermosetting copolymers with tunable mechanical, thermal, and antibacterial properties. The heat deflection temperature and stiffness of these copolymers increase with their arylation ratio; however, their tensile strength and antibacterial potency maximize at the mid-range. Strikingly, regardless of their arylation ratio, all these fat-based copolymers endure temperatures as high as 300 °C and uniformly bind to natural fabrics, e.g., cotton, making them waterproof. These desirable features and tunable properties open various possibilities for the utilization of recycled fats, oils, and greases (FOGs) in the production of value-added products, including but not limited to stain-resistant or self-cleaning personal protective equipment and surface coatings, nonstick antimicrobial wound dressings or bandages, fillers or sealants for electrical waterproofing, and numerous types of composites.","PeriodicalId":100015,"journal":{"name":"ACS Sustainable Resource Management","volume":"2 5","pages":"864–871 864–871"},"PeriodicalIF":0.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144104985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Upcycling of Expanded Polystyrene Wastes into Reusable High-Performance Volatile Organic Compound Adsorbents 膨胀聚苯乙烯废弃物转化为可重复使用的高性能挥发性有机化合物吸附剂的研究

ACS Sustainable Resource Management Pub Date : 2025-05-02 DOI: 10.1021/acssusresmgt.5c0005210.1021/acssusresmgt.5c00052

Anuraj Varyambath, Chun-Po Hu, Hui Chen, Zaiqian Yu, Yong Lu and Xiao Matthew Hu*,

{"title":"Upcycling of Expanded Polystyrene Wastes into Reusable High-Performance Volatile Organic Compound Adsorbents","authors":"Anuraj Varyambath, Chun-Po Hu, Hui Chen, Zaiqian Yu, Yong Lu and Xiao Matthew Hu*, ","doi":"10.1021/acssusresmgt.5c0005210.1021/acssusresmgt.5c00052","DOIUrl":"https://doi.org/10.1021/acssusresmgt.5c00052https://doi.org/10.1021/acssusresmgt.5c00052","url":null,"abstract":"Recent research indicates that plastic and water pollution have emerged as serious environmental concerns. Our goal is to convert waste into valuable resources by repurposing it for high-value applications. In this study, we transformed discarded expanded polystyrene (EPS) into a high-performance adsorbent. We developed porous recycled expanded polystyrene (PREPS), derived from waste EPS via a one-step Friedel-Crafts reaction using various crosslinking strategies. This material exhibits exceptional adsorption capacity for volatile organic compounds (VOCs), particularly for aromatic pollutants such as xylenes and toluene. The combination of its high surface area and micro/mesoporous structure, along with its hydrophobic nature, enhances its performance even under high-humidity conditions (relative humidity (RH) 80 %). Notably, the prepared polymers, PREPS-formaldehyde dimethyl acetal (FDA)/dichloroethane (DCE) and PREPS-DCE, demonstrated high adsorption capacities for xylenes (537 and 398 mg/g) and toluene (470 and 317 mg/g), respectively, outperforming conventional adsorbents like activated carbon. This study underscores the potential of upcycling waste plastics into high-performance adsorbents, providing a sustainable solution for environmental remediation.","PeriodicalId":100015,"journal":{"name":"ACS Sustainable Resource Management","volume":"2 5","pages":"815–824 815–824"},"PeriodicalIF":0.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144104937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine-Learning-Optimized Palm-Biomass-Derived Activated Carbon Adsorbent for Gold Recovery from Mobile Leachate 机器学习优化的棕榈生物质活性炭吸附剂回收流动渗滤液中的金

ACS Sustainable Resource Management Pub Date : 2025-04-30 DOI: 10.1021/acssusresmgt.5c0007110.1021/acssusresmgt.5c00071

Mochamad Lutfi Firmansyah, Gus Ali Nur Rohman and Nisar Ullah*,

{"title":"Machine-Learning-Optimized Palm-Biomass-Derived Activated Carbon Adsorbent for Gold Recovery from Mobile Leachate","authors":"Mochamad Lutfi Firmansyah, Gus Ali Nur Rohman and Nisar Ullah*, ","doi":"10.1021/acssusresmgt.5c0007110.1021/acssusresmgt.5c00071","DOIUrl":"https://doi.org/10.1021/acssusresmgt.5c00071https://doi.org/10.1021/acssusresmgt.5c00071","url":null,"abstract":"Given the significant increase in smartphone consumption, an incremental increase in global electronic waste (e-waste) production has become an environmental concern. Herein, we report on the use of palm biomass as a precursor of activated carbon (AC) to recover gold from e-waste. The current study utilizes random forest algorithms for the optimization of AC’s production from four types of palm biomass. Based on the optimization result, the highest conversion was achieved by palm fiber biomass, with >80% conversion at 600 °C. AC showed a moderate adsorption capacity toward Au at 64 mg/g. Optimization of the adsorption process was carried out by response surface methodology, resulting in an acceptable error value that indicates the suitability of the model. Under optimal conditions, 89.9% adsorption efficiency was achieved with an adsorbent dosage of 10 g/mL, an activation temperature of 600 °C, a Au concentration of 152 mg/L, and an adsorption temperature of 30 °C. The mechanistic modelling of the process shows a suitable fit with the pseudo-first-order kinetic model and the Langmuir isotherm model. Furthermore, the thermodynamic analysis indicated that gold adsorption was an exothermic and spontaneous process. In addition, the AC resin was extensively characterized by Fourier transform infrared, scanning electron microscopy, X-ray diffraction, and gas adsorption analysis.","PeriodicalId":100015,"journal":{"name":"ACS Sustainable Resource Management","volume":"2 5","pages":"825–832 825–832"},"PeriodicalIF":0.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144104922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Technoeconomic Potential for Carbon Mineralization with Enhanced Recovery of Critical Minerals in the Pacific Northwest 西北太平洋地区碳矿化的技术经济潜力与关键矿物的提高回收

ACS Sustainable Resource Management Pub Date : 2025-04-30 DOI: 10.1021/acssusresmgt.4c0054110.1021/acssusresmgt.4c00541

Joseph E. Jacobs*, C. Heath Stanfield*, Quin R. S. Miller, Matthew A. Villante, José Marcial, Emily T. Nienhuis, Joshua A. Silverstein, Ellen G. Polites, Madeline F. Bartels, Brad T. Gooch, Jian Liu, Joyashish Thakurta, Nabajit Lahiri and H. Todd Schaef,

{"title":"Technoeconomic Potential for Carbon Mineralization with Enhanced Recovery of Critical Minerals in the Pacific Northwest","authors":"Joseph E. Jacobs*, C. Heath Stanfield*, Quin R. S. Miller, Matthew A. Villante, José Marcial, Emily T. Nienhuis, Joshua A. Silverstein, Ellen G. Polites, Madeline F. Bartels, Brad T. Gooch, Jian Liu, Joyashish Thakurta, Nabajit Lahiri and H. Todd Schaef, ","doi":"10.1021/acssusresmgt.4c0054110.1021/acssusresmgt.4c00541","DOIUrl":"https://doi.org/10.1021/acssusresmgt.4c00541https://doi.org/10.1021/acssusresmgt.4c00541","url":null,"abstract":"Commitments to limit the effects of global climate change require the implementation of renewable energy, along with a significant reduction of CO2 emissions. To facilitate this transition, the active removal of atmospheric CO2 by the development and deployment of new carbon management infrastructure and technologies is needed. Additionally, the world is projected to require an unprecedented amount of critical minerals, yet current high-grade ore supplies and existing mining technologies are unable to meet this demand. This study analyzes the feasibility of a novel CO2 mineralization and enhanced mineral recovery (CO2-EMR) technology designed to target low-grade, historically uneconomical resources for in situ mining. The Josephine Ophiolite in Northern California and Twin Sisters Dunite in Northwest Washington are promising ultramafic reservoirs for implementing this new mining technology. Ultramafic, olivine-rich rocks from these two sites were characterized pre- and postreaction with CO2, with both samples showing rapid carbonation in the form of magnesite. Furthermore, the fluid sampled shows a high recovery of nickel, a designated critical mineral. These experimental findings were then implemented in a technoeconomic analysis to assess the viability of field-scale implementation of this technology in the Pacific Northwest and beyond.","PeriodicalId":100015,"journal":{"name":"ACS Sustainable Resource Management","volume":"2 5","pages":"775–785 775–785"},"PeriodicalIF":0.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144104923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Present and Future Prospects of Biochar 生物炭的现状与未来展望

ACS Sustainable Resource Management Pub Date : 2025-04-29 DOI: 10.1021/acssusresmgt.5c0013910.1021/acssusresmgt.5c00139

Pin-Chun Liang, and , Wei-Hsin Chen*,

引用次数: 0

Biochar Stability Revealed by FTIR and Machine Learning FTIR和机器学习揭示生物炭的稳定性

ACS Sustainable Resource Management Pub Date : 2025-04-29 DOI: 10.1021/acssusresmgt.5c0010410.1021/acssusresmgt.5c00104

Monica A. McCall*, Jonathan S. Watson, Jonathan S. W. Tan and Mark A. Sephton,

{"title":"Biochar Stability Revealed by FTIR and Machine Learning","authors":"Monica A. McCall*, Jonathan S. Watson, Jonathan S. W. Tan and Mark A. Sephton, ","doi":"10.1021/acssusresmgt.5c0010410.1021/acssusresmgt.5c00104","DOIUrl":"https://doi.org/10.1021/acssusresmgt.5c00104https://doi.org/10.1021/acssusresmgt.5c00104","url":null,"abstract":"Biochar is a carbon-rich and environmentally recalcitrant material, with strong potential for climate change mitigation. There is a need for rapid and accessible estimations of biochar stability, the resistance to biotic and abiotic degradation in soil. This study builds on previous work by integrating Fourier-transform infrared spectroscopy (FTIR) data with predictive modeling to estimate standard stability indicators: H:C and O:C molar ratios. Lignocellulosic feedstocks were pyrolyzed at highest treatment temperatures (HTT) ranging from 150–700 °C, and all samples achieved H:C < 0.7 and O:C < 0.4 at HTT of 400 °C and above. Several statistical and machine learning models were developed using FTIR spectra. The random forest (RF) models, which incorporated full data preprocessing, yielded the highest accuracy (R2 = 0.96 for both ratios) when tested on an unseen feedstock. Variable importance analysis identified spectral regions linked to aromaticity and inversely correlated to C–O stretches in cellulose and lignin as key predictors. The findings of this study verify that FTIR data can serve as a rapid and accurate tool for estimating biochar stability.This research utilizes Fourier-transform infrared spectroscopy (FTIR) and machine learning to predict common stability indicators of biochar.","PeriodicalId":100015,"journal":{"name":"ACS Sustainable Resource Management","volume":"2 5","pages":"842–852 842–852"},"PeriodicalIF":0.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acssusresmgt.5c00104","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144104920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biochar Stability Revealed by FTIR and Machine Learning. FTIR和机器学习揭示生物炭的稳定性。

ACS Sustainable Resource Management Pub Date : 2025-04-29 eCollection Date: 2025-05-22 DOI: 10.1021/acssusresmgt.5c00104

Monica A McCall, Jonathan S Watson, Jonathan S W Tan, Mark A Sephton

{"title":"Biochar Stability Revealed by FTIR and Machine Learning.","authors":"Monica A McCall, Jonathan S Watson, Jonathan S W Tan, Mark A Sephton","doi":"10.1021/acssusresmgt.5c00104","DOIUrl":"10.1021/acssusresmgt.5c00104","url":null,"abstract":"Biochar is a carbon-rich and environmentally recalcitrant material, with strong potential for climate change mitigation. There is a need for rapid and accessible estimations of biochar stability, the resistance to biotic and abiotic degradation in soil. This study builds on previous work by integrating Fourier-transform infrared spectroscopy (FTIR) data with predictive modeling to estimate standard stability indicators: H:C and O:C molar ratios. Lignocellulosic feedstocks were pyrolyzed at highest treatment temperatures (HTT) ranging from 150-700 °C, and all samples achieved H:C < 0.7 and O:C < 0.4 at HTT of 400 °C and above. Several statistical and machine learning models were developed using FTIR spectra. The random forest (RF) models, which incorporated full data preprocessing, yielded the highest accuracy (R 2 = 0.96 for both ratios) when tested on an unseen feedstock. Variable importance analysis identified spectral regions linked to aromaticity and inversely correlated to C-O stretches in cellulose and lignin as key predictors. The findings of this study verify that FTIR data can serve as a rapid and accurate tool for estimating biochar stability.","PeriodicalId":100015,"journal":{"name":"ACS Sustainable Resource Management","volume":"2 5","pages":"842-852"},"PeriodicalIF":0.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12105012/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144164528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0