Pub Date : 2025-03-12DOI: 10.1016/j.mtsust.2025.101100
Juhi Jannat Mim , S.M. Maksudur Rahman , Fardin Khan , Dipto Paul , Shakil Sikder , Hridoy Pollab Das , Safiullah Khan , Naziat Tabassum Orny , Md. Rifat Hossain Shuvo , Nayem Hossain
Nanoparticles' recent advancement and phenomenal ingenuity radically change Fertilizers for developing agro-based technology. This paper illustrates the groundbreaking use of nano fertilizers (NFs) rather than conventional fertilizers. The simultaneous improvement of nutrient flow is detected, and nutrient solubility is significant after using NFs. The continuous synchronization of the transportation of nutrients enhances plant growth by minimizing toxicity. The seed germination tends to accelerate, and acidity levels can be ideally monitored with the help of organic and inorganic NFs. The foliar application also helps to increase efficiency for targeted tissues by spraying plant leaves, which develops plant growth. Soil and roots are other media that introduce NFs, which escalate plant tissue growth. ZnO, MnO2 & MoO3 are the most commonly used NFs and can be synthesized by the Precipitation method, Vacuum Arc Deposition, Chemical Absorption, or many other techniques. Long-term usage, cost efficiency, and environmental phenomena may be the main concerns for researchers. Still, new possibilities for food safety and economic viability create remarkable opportunities for innovative nano-fertilizers.
{"title":"Towards smart agriculture through nano-fertilizer-A review","authors":"Juhi Jannat Mim , S.M. Maksudur Rahman , Fardin Khan , Dipto Paul , Shakil Sikder , Hridoy Pollab Das , Safiullah Khan , Naziat Tabassum Orny , Md. Rifat Hossain Shuvo , Nayem Hossain","doi":"10.1016/j.mtsust.2025.101100","DOIUrl":"10.1016/j.mtsust.2025.101100","url":null,"abstract":"<div><div>Nanoparticles' recent advancement and phenomenal ingenuity radically change Fertilizers for developing agro-based technology. This paper illustrates the groundbreaking use of nano fertilizers (NFs) rather than conventional fertilizers. The simultaneous improvement of nutrient flow is detected, and nutrient solubility is significant after using NFs. The continuous synchronization of the transportation of nutrients enhances plant growth by minimizing toxicity. The seed germination tends to accelerate, and acidity levels can be ideally monitored with the help of organic and inorganic NFs. The foliar application also helps to increase efficiency for targeted tissues by spraying plant leaves, which develops plant growth. Soil and roots are other media that introduce NFs, which escalate plant tissue growth. ZnO, MnO<sub>2</sub> & MoO<sub>3</sub> are the most commonly used NFs and can be synthesized by the Precipitation method, Vacuum Arc Deposition, Chemical Absorption, or many other techniques. Long-term usage, cost efficiency, and environmental phenomena may be the main concerns for researchers. Still, new possibilities for food safety and economic viability create remarkable opportunities for innovative nano-fertilizers.</div></div>","PeriodicalId":18322,"journal":{"name":"Materials Today Sustainability","volume":"30 ","pages":"Article 101100"},"PeriodicalIF":7.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the context of increasing focus on renewable energy due to environmental degradation, population growth, and declining freshwater resources, this study examines a combined power generation and freshwater production system. The feasibility of integrating solar and wind energy systems is assessed using EES software, with sensitivity analysis identifying optimal input parameters for the organic cycle fluid. Results show that increasing solar collector area, solar radiation, pinch point temperature, and wind speed improves performance initially, but leads to higher exergy destruction, environmental impact, and economic costs. Therefore, identifying optimal values for each parameter is essential for overall system optimization. Exergoeconomic and exergoenvironmental analyses indicate that the lowest economic exergy coefficient is associated with closed heater equipment, while the lowest exergoenvironmental factor is linked to the Rankine condenser. The total economic cost, environmental impact, and energy-based cost and impact rates for January are reported as 373.1 ($/h), 2.184 ($/h), 3.962 × 1014 (Sej/h), and 4.022 × 1016 (Sej/h), respectively.
{"title":"Investigating a multi-generational energy system incorporating an OTEC cycle, solar collector, and wind turbine: Six E analysis, including energy, exergy, exergoenvironmental, exergoeconomic, emergoeconomic, and emergoenvironmental","authors":"Hadi Kamfar , Abolfazl Shojaeian , Jaber Yousefi Seyf , Najmeh Hajialigol","doi":"10.1016/j.mtsust.2025.101097","DOIUrl":"10.1016/j.mtsust.2025.101097","url":null,"abstract":"<div><div>In the context of increasing focus on renewable energy due to environmental degradation, population growth, and declining freshwater resources, this study examines a combined power generation and freshwater production system. The feasibility of integrating solar and wind energy systems is assessed using EES software, with sensitivity analysis identifying optimal input parameters for the organic cycle fluid. Results show that increasing solar collector area, solar radiation, pinch point temperature, and wind speed improves performance initially, but leads to higher exergy destruction, environmental impact, and economic costs. Therefore, identifying optimal values for each parameter is essential for overall system optimization. Exergoeconomic and exergoenvironmental analyses indicate that the lowest economic exergy coefficient is associated with closed heater equipment, while the lowest exergoenvironmental factor is linked to the Rankine condenser. The total economic cost, environmental impact, and energy-based cost and impact rates for January are reported as 373.1 ($/h), 2.184 ($/h), 3.962 × 1014 (Sej/h), and 4.022 × 1016 (Sej/h), respectively.</div></div>","PeriodicalId":18322,"journal":{"name":"Materials Today Sustainability","volume":"30 ","pages":"Article 101097"},"PeriodicalIF":7.1,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-10DOI: 10.1016/j.mtsust.2025.101096
Doaa Zamel , Atta Ullah Khan
Covalent organic frameworks (COFs) have emerged as a versatile class of crystalline porous materials with exceptional structural tunability, high surface area, and Chemical stability. The concurrent polymerization and crystallization of monomers with specific bonding designs produce covalent organic frameworks, which are polymeric networks bound together by strong covalent bonds in 2D or 3D structures. The properties exhibited by COFs have quickly broadened to include those relevant for applications such as heterogeneous catalysis, energy storage, and water and air purification. However, most of these applications demand morphological control, material quality, and synthetic efficiency, which surpass the limitations of current synthesis methods. Achieving this level of quality requires deeper understanding of COF nucleation and synthesis processes. This review sheds the light on the advancements in COF synthesis, highlighting the development of innovative methodologies to achieve precise structure and effective functionality of COFs. Furthermore, the environmental applications of COFs have been critically examined, with a focus on their role in pollutant capture, water purification, and catalytic degradation of environmental contaminants. Moreover, it further concludes with an outlook on future directions and challenges in the field, emphasizing the need for further research to increase the scalability, stability, and reusability of COFs in practical environmental applications.
{"title":"Covalent organic frameworks: A green approach to environmental challenges","authors":"Doaa Zamel , Atta Ullah Khan","doi":"10.1016/j.mtsust.2025.101096","DOIUrl":"10.1016/j.mtsust.2025.101096","url":null,"abstract":"<div><div>Covalent organic frameworks (COFs) have emerged as a versatile class of crystalline porous materials with exceptional structural tunability, high surface area, and Chemical stability. The concurrent polymerization and crystallization of monomers with specific bonding designs produce covalent organic frameworks, which are polymeric networks bound together by strong covalent bonds in 2D or 3D structures. The properties exhibited by COFs have quickly broadened to include those relevant for applications such as heterogeneous catalysis, energy storage, and water and air purification. However, most of these applications demand morphological control, material quality, and synthetic efficiency, which surpass the limitations of current synthesis methods. Achieving this level of quality requires deeper understanding of COF nucleation and synthesis processes. This review sheds the light on the advancements in COF synthesis, highlighting the development of innovative methodologies to achieve precise structure and effective functionality of COFs. Furthermore, the environmental applications of COFs have been critically examined, with a focus on their role in pollutant capture, water purification, and catalytic degradation of environmental contaminants. Moreover, it further concludes with an outlook on future directions and challenges in the field, emphasizing the need for further research to increase the scalability, stability, and reusability of COFs in practical environmental applications.</div></div>","PeriodicalId":18322,"journal":{"name":"Materials Today Sustainability","volume":"30 ","pages":"Article 101096"},"PeriodicalIF":7.1,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-08DOI: 10.1016/j.mtsust.2025.101099
Nayab Zahra , Muhammad Shahbaz , Mohsin Saleem , Muhammad Zubair Khan , Muneeb Irshad , Shahzad Sharif , Jung Hyuk Koh , Mohsin Ali Marwat , Gwangseop Lee , Muhammad Irfan , Abdul Ghaffar
The development of an optimal material that facilitates multiple redox reactions is crucial for advancing energy storage devices. In the present study, we focused on preparing such a material through an easy and cost-effective method to achieve enhanced charge storage ability with large power. Multiphase composites based on Mn, Ce, Co, and Ni oxides were prepared via solution combustion synthesis (SCS) for supercapacitor electrode applications. Three composites, Mn–O/CeO2 (N1), Ni–O/Co3O4 (N2), and Mn–O/CeO2/Ni–O/Co3O4 (N3), all in equal ratios, were prepared after sintering at 700 °C for 3 h in the open air. Preliminary characterizations, including X-ray diffraction (XRD), diffuse reflectance spectroscopy (DRS), Raman spectroscopy, and scanning electron microscopy (SEM), were performed to investigate the structural, optical, and morphological properties of the three distinct composites. XRD analysis confirmed the presence of various phases, such as CeO2, Mn2O3, Co3O4, NiO, Ni2O3, and Mn5O8 in the different composites, significantly influencing their physical and electrochemical behavior. With three-electrode assembly, electroanalytical tools such as cyclic voltammetry (CV), galvanic charge-discharge (GCD), and electrochemical impedance spectroscopy (EIS) were utilized to divulge electrochemical properties which confirmed pseudocapacitive behavior in the synthesized electrode composites. The specific capacitance of 59.3 F/g, 91.67 F/g, and 23.14 F/g at a current density of 1 A/g were recorded for N1, N2, and N3, respectively. Having tempting results of N2 cathode, it was fabricated against activated carbon (AC) anode to form a hybrid supercapacitor device which demonstrated a specific capacitance of 78.25 F/g, a specific energy of 24.45 Wh/kg, and a large specific power of 1086.80 W/kg at 1 A/g current density, with a coulombic efficiency of 106.5% over 1000 GCD cycles.
{"title":"Innovative multiphase composites of transition metal oxides for long-term stability and high energy density in storage devices","authors":"Nayab Zahra , Muhammad Shahbaz , Mohsin Saleem , Muhammad Zubair Khan , Muneeb Irshad , Shahzad Sharif , Jung Hyuk Koh , Mohsin Ali Marwat , Gwangseop Lee , Muhammad Irfan , Abdul Ghaffar","doi":"10.1016/j.mtsust.2025.101099","DOIUrl":"10.1016/j.mtsust.2025.101099","url":null,"abstract":"<div><div>The development of an optimal material that facilitates multiple redox reactions is crucial for advancing energy storage devices. In the present study, we focused on preparing such a material through an easy and cost-effective method to achieve enhanced charge storage ability with large power. Multiphase composites based on Mn, Ce, Co, and Ni oxides were prepared via solution combustion synthesis (SCS) for supercapacitor electrode applications. Three composites, Mn–O/CeO<sub>2</sub> (N1), Ni–O/Co<sub>3</sub>O<sub>4</sub> (N2), and Mn–O/CeO<sub>2</sub>/Ni–O/Co<sub>3</sub>O<sub>4</sub> (N3), all in equal ratios, were prepared after sintering at 700 °C for 3 h in the open air. Preliminary characterizations, including X-ray diffraction (XRD), diffuse reflectance spectroscopy (DRS), Raman spectroscopy, and scanning electron microscopy (SEM), were performed to investigate the structural, optical, and morphological properties of the three distinct composites. XRD analysis confirmed the presence of various phases, such as CeO<sub>2</sub>, Mn<sub>2</sub>O<sub>3</sub>, Co<sub>3</sub>O<sub>4</sub>, NiO, Ni<sub>2</sub>O<sub>3</sub>, and Mn<sub>5</sub>O<sub>8</sub> in the different composites, significantly influencing their physical and electrochemical behavior. With three-electrode assembly, electroanalytical tools such as cyclic voltammetry (CV), galvanic charge-discharge (GCD), and electrochemical impedance spectroscopy (EIS) were utilized to divulge electrochemical properties which confirmed pseudocapacitive behavior in the synthesized electrode composites. The specific capacitance of 59.3 F/g, 91.67 F/g, and 23.14 F/g at a current density of 1 A/g were recorded for N1, N2, and N3, respectively. Having tempting results of N2 cathode, it was fabricated against activated carbon (AC) anode to form a hybrid supercapacitor device which demonstrated a specific capacitance of 78.25 F/g, a specific energy of 24.45 Wh/kg, and a large specific power of 1086.80 W/kg at 1 A/g current density, with a coulombic efficiency of 106.5% over 1000 GCD cycles.</div></div>","PeriodicalId":18322,"journal":{"name":"Materials Today Sustainability","volume":"30 ","pages":"Article 101099"},"PeriodicalIF":7.1,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The urgent need for low carbon emissions in hydrogen production has become increasingly critical as global energy demands rise, highlighting the inefficiencies in traditional methods and the industry's challenges in meeting evolving environmental standards. This review aims to provide a comprehensive overview of these challenges and opportunities. The current review discusses the use of artificial intelligence (AI) technologies, especially machine learning (ML) and deep learning (DL) algorithms, for process optimization in hydrogen production and associated power systems. The current study analyzes data from several important industry case studies and recently published studied evidence by using a review methodology in order to critically evaluate the effectiveness of AI applications. Key findings show how AI greatly improves operational efficiency through optimized production conditions and forecasted energy use. The review indicates that real-time data processing by AI helps to quickly detect anomalies for timely correction, minimizing downtimes and maximizing reliability. Integrating AI with energy management solutions not only optimizes hydrogen production but also supports a transition to sustainable energy systems. Thus, the current review recommends strategic investments in AI technologies and comprehensive training programs to harness their full potential, ultimately contributing to a more sustainable energy future.
{"title":"An insight into the application and progress of artificial intelligence in the hydrogen production industry: A review","authors":"Mostafa Jamali , Najmeh Hajialigol , Abolfazl Fattahi","doi":"10.1016/j.mtsust.2025.101098","DOIUrl":"10.1016/j.mtsust.2025.101098","url":null,"abstract":"<div><div>The urgent need for low carbon emissions in hydrogen production has become increasingly critical as global energy demands rise, highlighting the inefficiencies in traditional methods and the industry's challenges in meeting evolving environmental standards. This review aims to provide a comprehensive overview of these challenges and opportunities. The current review discusses the use of artificial intelligence (AI) technologies, especially machine learning (ML) and deep learning (DL) algorithms, for process optimization in hydrogen production and associated power systems. The current study analyzes data from several important industry case studies and recently published studied evidence by using a review methodology in order to critically evaluate the effectiveness of AI applications. Key findings show how AI greatly improves operational efficiency through optimized production conditions and forecasted energy use. The review indicates that real-time data processing by AI helps to quickly detect anomalies for timely correction, minimizing downtimes and maximizing reliability. Integrating AI with energy management solutions not only optimizes hydrogen production but also supports a transition to sustainable energy systems. Thus, the current review recommends strategic investments in AI technologies and comprehensive training programs to harness their full potential, ultimately contributing to a more sustainable energy future.</div></div>","PeriodicalId":18322,"journal":{"name":"Materials Today Sustainability","volume":"30 ","pages":"Article 101098"},"PeriodicalIF":7.1,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-06DOI: 10.1016/j.mtsust.2025.101095
Ho Anh Thu Nguyen , Duy Hoang Pham , Yonghan Ahn , Bee Lan Oo , Benson Teck Heng Lim
Over the last decade, a considerable amount of research has documented the application of machine learning (ML) and its potential for cleaner production of sustainable construction materials particularly on geopolymers. Conceptually, the use of ML could help optimize the mixture composition, predict the property and performance of geopolymers materials. However, existing studies seem to mainly concentrate on geopolymer concrete and thus overlook other forms such as mortar and paste, and the data requirements of ML. In addressing the gaps, the aim of this study is to provide a current status of art on the use of ML on geopolymer materials by specifically exploring (i) the progression of ML in geopolymer materials from 2012 to 2023; (ii) the forms and types of geopolymer being researched using ML; (iii) the data sources and sizes, and ML algorithms being used; and (iv) the tasks being performed using ML. The overall findings show that ML are primarily utilized for predicting geopolymer properties, particularly compressive strength, while their potential in mixture optimization and structural maintenance remains largely untapped. Additionally, the small training datasets and the predominant reliance on data from previous publications in most studies underscore the limited utilization of field data. In conclusion, this study informs researchers of the current challenges in the application of ML for geopolymer materials and proposes directions for future research in using ML for improved property prediction and mixture optimization of sustainable geopolymer materials.
{"title":"Machine learning and sustainable geopolymer materials: A systematic review","authors":"Ho Anh Thu Nguyen , Duy Hoang Pham , Yonghan Ahn , Bee Lan Oo , Benson Teck Heng Lim","doi":"10.1016/j.mtsust.2025.101095","DOIUrl":"10.1016/j.mtsust.2025.101095","url":null,"abstract":"<div><div>Over the last decade, a considerable amount of research has documented the application of machine learning (ML) and its potential for cleaner production of sustainable construction materials particularly on geopolymers. Conceptually, the use of ML could help optimize the mixture composition, predict the property and performance of geopolymers materials. However, existing studies seem to mainly concentrate on geopolymer concrete and thus overlook other forms such as mortar and paste, and the data requirements of ML. In addressing the gaps, the aim of this study is to provide a current status of art on the use of ML on geopolymer materials by specifically exploring (i) the progression of ML in geopolymer materials from 2012 to 2023; (ii) the forms and types of geopolymer being researched using ML; (iii) the data sources and sizes, and ML algorithms being used; and (iv) the tasks being performed using ML. The overall findings show that ML are primarily utilized for predicting geopolymer properties, particularly compressive strength, while their potential in mixture optimization and structural maintenance remains largely untapped. Additionally, the small training datasets and the predominant reliance on data from previous publications in most studies underscore the limited utilization of field data. In conclusion, this study informs researchers of the current challenges in the application of ML for geopolymer materials and proposes directions for future research in using ML for improved property prediction and mixture optimization of sustainable geopolymer materials.</div></div>","PeriodicalId":18322,"journal":{"name":"Materials Today Sustainability","volume":"30 ","pages":"Article 101095"},"PeriodicalIF":7.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-26DOI: 10.1016/j.mtsust.2025.101093
Sonia Aït Saada , Rezki Nebbali , Idir Kecili , Djamila Zembri-Nebbali , Mourad Rahim , Dang Mao Nguyen
The cooling of PV panel by water flowing on its front face was investigated in this work. This study proposes explicit correlations that calculate the operating temperature of the water-cooled PV panel. To do this, two thermal and electrical models were developed. The thermal model is based on thermal balances carried out on each layer (Glass, silicon and tedlar) of the PV panel. This led to coupled equations that were solved by the CFD calculation code (Ansys Fluent). The operating temperature of the PV panel in uncooled and water-cooled situations was then determined. However, the single-diode electrical model was adapted to evaluate the electrical efficiency from the current and voltage intensities delivered by the PV panel for each situation. Both models were then validated against data provided by an experimental setup. Simulations were then carried out over several days. They show that the average efficiency improvement of the water-cooled PV panel was about 11.5% during a day. Then, for various operating conditions of solar radiation, air temperature, wind speed, water temperature and flow rate, we established correlations that evaluate the operating temperature of the water-cooled PV panel.
{"title":"Operating temperature and electrical efficiency of a photovoltaic panel cooled by laminar water film flowing on its front face: Experimental and numerical approach","authors":"Sonia Aït Saada , Rezki Nebbali , Idir Kecili , Djamila Zembri-Nebbali , Mourad Rahim , Dang Mao Nguyen","doi":"10.1016/j.mtsust.2025.101093","DOIUrl":"10.1016/j.mtsust.2025.101093","url":null,"abstract":"<div><div>The cooling of PV panel by water flowing on its front face was investigated in this work. This study proposes explicit correlations that calculate the operating temperature of the water-cooled PV panel. To do this, two thermal and electrical models were developed. The thermal model is based on thermal balances carried out on each layer (Glass, silicon and tedlar) of the PV panel. This led to coupled equations that were solved by the CFD calculation code (Ansys Fluent). The operating temperature of the PV panel in uncooled and water-cooled situations was then determined. However, the single-diode electrical model was adapted to evaluate the electrical efficiency from the current and voltage intensities delivered by the PV panel for each situation. Both models were then validated against data provided by an experimental setup. Simulations were then carried out over several days. They show that the average efficiency improvement of the water-cooled PV panel was about 11.5% during a day. Then, for various operating conditions of solar radiation, air temperature, wind speed, water temperature and flow rate, we established correlations that evaluate the operating temperature of the water-cooled PV panel.</div></div>","PeriodicalId":18322,"journal":{"name":"Materials Today Sustainability","volume":"30 ","pages":"Article 101093"},"PeriodicalIF":7.1,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-19DOI: 10.1016/j.mtsust.2025.101092
Xiufeng Ni , Chao Jiang , Fangming Jiang , Huan Luo , Yu Diao , Fan Jiang , Qingyu Zhang , Jinnan Wang
The assessment of the environmental efficiency of contaminated sites is important to address funding issues and ensure the sustainability of redevelopment in remediation and risk control actions. This study aims to gauge the environmental efficiency of remediation and risk control (EERRC) levels in China. It utilizes the super-efficiency directional distance function and metafrontier model to estimate metafrontier and group frontier EERRC across 408 contaminated sites spanning 27 provincial administrative regions. These sites were categorized based on economic development levels and industry types. This study dissects inefficiency factors into technological gaps and managerial inefficiencies while also analyzing the impact of site categorical attributes and the correlation between remediation and risk control strategies and EERRC. Findings indicate that China's overall EERRC average under the metafrontier stands at 0.524, contrasting with 0.902 under the group frontier, showcasing crucial technological gaps among regions and industries. Notably, industries such as metal smelting and processing, energy processing and supply, and textile and tanning exhibit low EERRC owing to their high technological complexity and compound contamination of heavy metals and semi-volatile organic compounds. Regions with low economic development are advised to prioritize more effective risk control measures over indiscriminate remediation efforts. Moreover, this study suggests that repurposing contaminated sites for uses such as storage land or sensitive land (e.g., residential or public administration and service) in terms of land planning. The EERRC assessment is instrumental in formulating cleanup and redevelopment strategies tailored to diverse types of contaminated sites.
{"title":"Characteristics of environmental efficiency for different types of contaminated sites in China","authors":"Xiufeng Ni , Chao Jiang , Fangming Jiang , Huan Luo , Yu Diao , Fan Jiang , Qingyu Zhang , Jinnan Wang","doi":"10.1016/j.mtsust.2025.101092","DOIUrl":"10.1016/j.mtsust.2025.101092","url":null,"abstract":"<div><div>The assessment of the environmental efficiency of contaminated sites is important to address funding issues and ensure the sustainability of redevelopment in remediation and risk control actions. This study aims to gauge the environmental efficiency of remediation and risk control (EERRC) levels in China. It utilizes the super-efficiency directional distance function and metafrontier model to estimate metafrontier and group frontier EERRC across 408 contaminated sites spanning 27 provincial administrative regions. These sites were categorized based on economic development levels and industry types. This study dissects inefficiency factors into technological gaps and managerial inefficiencies while also analyzing the impact of site categorical attributes and the correlation between remediation and risk control strategies and EERRC. Findings indicate that China's overall EERRC average under the metafrontier stands at 0.524, contrasting with 0.902 under the group frontier, showcasing crucial technological gaps among regions and industries. Notably, industries such as metal smelting and processing, energy processing and supply, and textile and tanning exhibit low EERRC owing to their high technological complexity and compound contamination of heavy metals and semi-volatile organic compounds. Regions with low economic development are advised to prioritize more effective risk control measures over indiscriminate remediation efforts. Moreover, this study suggests that repurposing contaminated sites for uses such as storage land or sensitive land (e.g., residential or public administration and service) in terms of land planning. The EERRC assessment is instrumental in formulating cleanup and redevelopment strategies tailored to diverse types of contaminated sites.</div></div>","PeriodicalId":18322,"journal":{"name":"Materials Today Sustainability","volume":"30 ","pages":"Article 101092"},"PeriodicalIF":7.1,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-15DOI: 10.1016/j.mtsust.2025.101089
Asghar Ali , Muhammad Qasim , Said Sakhi , Govindhan Maduraiveeran , Ali S. Alnaser
The increasing energy demand, the depletion of fossil fuels, and the threat of global warming are significant and urgent issues for humanity. The electrochemical reduction of CO2 (ECR) using renewable energy sources to produce fuels and chemicals such as carbon monoxide, methane, ethylene, ethane, formate, methanol, ethanol, and propanol, presents a sustainable and carbon-neutral alternative to fossil fuels. However, several challenges impede stable, selective, efficient, and large-scale production of desired products, especially longer-chain hydrocarbons (C2+ products). These challenges include a limited understanding of reaction kinetics, the complex role of process parameters, a shortage of effective electrocatalysts, and unoptimized electrolyzer designs. The present review summarizes detailed insights into the scientific and technological facets of ECR, focusing on established practices and offering a comprehensive overview of known ECR catalysts. It includes a brief historical context and explores methods for studying the reaction kinetics including operando, electrochemical, and computational techniques. The review examines the intertwined process factors influencing ECR and underscores the evolving designs of electrolyzers to manage these factors effectively. It discusses conventional and innovative approaches to catalyst design and addresses the challenges related to the stability of the catalysts. Recent advancements and potential future directions for CO2 ECR studies are also highlighted.
{"title":"Electrochemical CO2 reduction: Advances, insights, challenges, and future directions","authors":"Asghar Ali , Muhammad Qasim , Said Sakhi , Govindhan Maduraiveeran , Ali S. Alnaser","doi":"10.1016/j.mtsust.2025.101089","DOIUrl":"10.1016/j.mtsust.2025.101089","url":null,"abstract":"<div><div>The increasing energy demand, the depletion of fossil fuels, and the threat of global warming are significant and urgent issues for humanity. The electrochemical reduction of CO<sub>2</sub> (ECR) using renewable energy sources to produce fuels and chemicals such as carbon monoxide, methane, ethylene, ethane, formate, methanol, ethanol, and propanol, presents a sustainable and carbon-neutral alternative to fossil fuels. However, several challenges impede stable, selective, efficient, and large-scale production of desired products, especially longer-chain hydrocarbons (C<sub>2+</sub> products). These challenges include a limited understanding of reaction kinetics, the complex role of process parameters, a shortage of effective electrocatalysts, and unoptimized electrolyzer designs. The present review summarizes detailed insights into the scientific and technological facets of ECR, focusing on established practices and offering a comprehensive overview of known ECR catalysts. It includes a brief historical context and explores methods for studying the reaction kinetics including operando, electrochemical, and computational techniques. The review examines the intertwined process factors influencing ECR and underscores the evolving designs of electrolyzers to manage these factors effectively. It discusses conventional and innovative approaches to catalyst design and addresses the challenges related to the stability of the catalysts. Recent advancements and potential future directions for CO<sub>2</sub> ECR studies are also highlighted.</div></div>","PeriodicalId":18322,"journal":{"name":"Materials Today Sustainability","volume":"30 ","pages":"Article 101089"},"PeriodicalIF":7.1,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-13DOI: 10.1016/j.mtsust.2025.101091
Yaser Rashidi , Lily Li , Asghar Habibnejad Korayem
To fully exploit the potential of halloysite nanotubes (HNTs) in cement-based composites, stable dispersion in cementitious environments is essential. While polycarboxylate ether (PCE) is commonly used for this purpose, xanthan gum (XG) biopolymer offers a greener alternative, providing stable and uniform dispersion. XG-modified HNTs show promise in enhancing the engineering properties of these composites, but their impact on micro- and macroscopic characteristics is still unclear. This study comprehensively assessed the influence of XG-modified HNTs on hydration-phase assemblage, pore structure, microstructural morphology, as well as compressive strength and transport properties in cementitious materials, and compared these results to PCE-modified HNTs in similar systems. The results demonstrated that XG-modified HNTs significantly outperformed PCE-modified HNTs by reducing calcium hydroxide (CH) content and refining CH crystal structures. Additionally, XG-modified HNTs accelerated cement hydration more effectively and promoted enhanced gel structure formation. Importantly, XG-modified HNTs contributed to a greater reduction in pore size and porosity, a more uniform pore distribution, and the formation of a more homogeneous cementitious matrix compared to PCE-modified HNTs. Furthermore, after 90 days, the HNT-XG mixture exhibited increases in compressive strength (14.3%), ultrasonic pulse velocity (7.1%), and electrical resistivity (13.3%) compared to the HNT-PCE mixture. Finally, the sustainability assessment revealed that using XG biopolymer results in 48.6% lower energy consumption, an 89.4% cleaner production process, and 16.3% lower production costs compared to PCE. Consequently, XG biopolymer can be considered a superior and sustainable alternative to chemical surfactants like PCE for the uniform dispersion of HNTs in cementitious systems.
{"title":"Xanthan gum biopolymer for uniform dispersion of halloysite nanotubes to enhance micro- and macroscopic performance of cementitious composite: A sustainable alternative to chemical surfactants","authors":"Yaser Rashidi , Lily Li , Asghar Habibnejad Korayem","doi":"10.1016/j.mtsust.2025.101091","DOIUrl":"10.1016/j.mtsust.2025.101091","url":null,"abstract":"<div><div>To fully exploit the potential of halloysite nanotubes (HNTs) in cement-based composites, stable dispersion in cementitious environments is essential. While polycarboxylate ether (PCE) is commonly used for this purpose, xanthan gum (XG) biopolymer offers a greener alternative, providing stable and uniform dispersion. XG-modified HNTs show promise in enhancing the engineering properties of these composites, but their impact on micro- and macroscopic characteristics is still unclear. This study comprehensively assessed the influence of XG-modified HNTs on hydration-phase assemblage, pore structure, microstructural morphology, as well as compressive strength and transport properties in cementitious materials, and compared these results to PCE-modified HNTs in similar systems. The results demonstrated that XG-modified HNTs significantly outperformed PCE-modified HNTs by reducing calcium hydroxide (CH) content and refining CH crystal structures. Additionally, XG-modified HNTs accelerated cement hydration more effectively and promoted enhanced gel structure formation. Importantly, XG-modified HNTs contributed to a greater reduction in pore size and porosity, a more uniform pore distribution, and the formation of a more homogeneous cementitious matrix compared to PCE-modified HNTs. Furthermore, after 90 days, the HNT-XG mixture exhibited increases in compressive strength (14.3%), ultrasonic pulse velocity (7.1%), and electrical resistivity (13.3%) compared to the HNT-PCE mixture. Finally, the sustainability assessment revealed that using XG biopolymer results in 48.6% lower energy consumption, an 89.4% cleaner production process, and 16.3% lower production costs compared to PCE. Consequently, XG biopolymer can be considered a superior and sustainable alternative to chemical surfactants like PCE for the uniform dispersion of HNTs in cementitious systems.</div></div>","PeriodicalId":18322,"journal":{"name":"Materials Today Sustainability","volume":"29 ","pages":"Article 101091"},"PeriodicalIF":7.1,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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