Biomass & Bioenergy最新文献_第6页

Deciphering energy storage mechanisms and pore structure effects in sugarcane bagasse-derived biomass carbon for lithium – ion batteries and supercapacitors 用于锂离子电池和超级电容器的甘蔗甘蔗渣衍生生物质碳的储能机制和孔隙结构效应

IF 5.8 2区生物学

Biomass & Bioenergy Pub Date : 2025-09-13 DOI: 10.1016/j.biombioe.2025.108325

Quynh Nhu Nguyen , Nghia Trong Nguyen , Thuy Trang T. Vuong , Viet-Duy La , Thi Viet Bac Phung , Nhat Van Nguyen , Phat Tan Vu , Hoang Van Nguyen , Phung My Loan Le , Phi Long Nguyen

{"title":"Deciphering energy storage mechanisms and pore structure effects in sugarcane bagasse-derived biomass carbon for lithium – ion batteries and supercapacitors","authors":"Quynh Nhu Nguyen , Nghia Trong Nguyen , Thuy Trang T. Vuong , Viet-Duy La , Thi Viet Bac Phung , Nhat Van Nguyen , Phat Tan Vu , Hoang Van Nguyen , Phung My Loan Le , Phi Long Nguyen","doi":"10.1016/j.biombioe.2025.108325","DOIUrl":"10.1016/j.biombioe.2025.108325","url":null,"abstract":"<div><div>Biomass porous carbon material is a potential electrode candidate. However, it remains challenging to understand the energy storage mechanisms and the influence of pore architecture, which are evaluated holistically in this study. In detail, sugarcane bagasse carbon (SC) materials were synthesized and activated using sodium hydroxide, exhibiting surface areas exceeding 200 m<sup>2</sup> g<sup>−1</sup>, making them highly suitable for use in batteries and supercapacitors. Among the tested anodes, SC700 demonstrated outstanding performance, delivering a specific capacity of 369.2 mAh.g<sup>−1</sup> at 0.1 A g<sup>−1</sup> and retaining 190.2 mAh.g<sup>−1</sup> at 5 A g<sup>−1</sup>. Even after 150 cycles at 0.5 A g<sup>−1</sup>, SC700 maintained a retention rate of 80.03 %, which is attributed to ion mainly adsorption by the optimal balance of microporous and mesoporous structures. Additionally, SC800 excelled in high-rate cycling, attributed to its macro-porous structure and pseudo-capacitive behavior, which improve ion adsorption and facilitate efficient energy release, making it particularly suitable for powering high-energy devices. These findings provide deeper insights into the structure-property relationship of biomass-derived porous carbon, paving the way for sustainable energy solutions.</div></div>","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"204 ","pages":"Article 108325"},"PeriodicalIF":5.8,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sustainable production of biobutanol and biodiesel from municipal solid waste: Optimization and process integration 从城市固体废物中可持续生产生物丁醇和生物柴油：优化和工艺整合

IF 5.8 2区生物学

Biomass & Bioenergy Pub Date : 2025-09-13 DOI: 10.1016/j.biombioe.2025.108377

Ramin Rezahasani , Mohammad Ali Asadollahi , Bin Li , Hamid Amiri

{"title":"Sustainable production of biobutanol and biodiesel from municipal solid waste: Optimization and process integration","authors":"Ramin Rezahasani , Mohammad Ali Asadollahi , Bin Li , Hamid Amiri","doi":"10.1016/j.biombioe.2025.108377","DOIUrl":"10.1016/j.biombioe.2025.108377","url":null,"abstract":"<div><div>This study focuses on the simultaneous production of biobutanol and biodiesel, viable alternatives to gasoline and diesel used in urban settings, aiming to enhance valorization of municipal solid waste (MSW) as the feedstock. The process involves a multi-stage pretreatment including simultaneous extraction of inhibitors and lipids, dilute acid and crude glycerol pretreatment, and enzymatic hydrolysis followed by anaerobic fermentation using <em>Clostridium acetobutylicum</em> for biobutanol production. The use of crude glycerol, a biodiesel byproduct, as a green solvent in the pretreatment, reduces the need for traditional costly solvents. Optimal conditions were determined for the highest production of acetone, butanol, and ethanol (ABE) were lipid extraction and inhibitor removal by ethanol followed by 1 % w/w dilute acid pretreatment at 120 °C for 10 min. Under these conditions, fermentation of the pretreatment liquid yielded concentrations of 5.42 g/L acetone, 11.32 g/L butanol, and 1.35 g/L ethanol. Moreover, fermentation of the hydrolysate resulted in concentrations of 2.13 g/L acetone, 4.28 g/L butanol, and 0.78 g/L ethanol. Moreover, the optimal conditions for biodiesel production were determined as methanol-to-oil ratio of 9.14:1, temperature of 59.5 °C, catalyst percentage of 0.886 %, and reaction time of 67 min. Under these conditions, a high yield of biodiesel (96.91 %) was achieved from the extracted oil using ethanol:acetone ratio of 1:3. Overall, this integrated approach produced 137.2 g of ABE and 75.1 g of biodiesel per kg of MSW, demonstrating the potential of MSW as a sustainable feedstock for dual-grade biofuel production.</div></div>","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"204 ","pages":"Article 108377"},"PeriodicalIF":5.8,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiscale analysis reveals cellulose structural features as primary determinants in bamboo (Dendrocalamus farinosus) cell wall recalcitrance 多尺度分析揭示了纤维素结构特征是竹细胞壁抗逆性的主要决定因素

IF 5.8 2区生物学

Biomass & Bioenergy Pub Date : 2025-09-13 DOI: 10.1016/j.biombioe.2025.108331

FanQin Yang , Shangmeng Li , Boya Wang , Xiaoyan Gu , Xin Zhao , Wei Fan , Yin Cao , Shanglian Hu

{"title":"Multiscale analysis reveals cellulose structural features as primary determinants in bamboo (Dendrocalamus farinosus) cell wall recalcitrance","authors":"FanQin Yang , Shangmeng Li , Boya Wang , Xiaoyan Gu , Xin Zhao , Wei Fan , Yin Cao , Shanglian Hu","doi":"10.1016/j.biombioe.2025.108331","DOIUrl":"10.1016/j.biombioe.2025.108331","url":null,"abstract":"<div><div>Bamboo represents a promising energy crop; however, its industrial utilization is limited by the complex recalcitrance of its cell walls. A comprehensive understanding of bamboo recalcitrance mechanisms and their biosynthetic regulation is essential for efficient lignocellulosic conversion. Here, we employed paraffin sectioning, confocal Raman imaging, 2D HSQC NMR, and transcriptomic profiling to investigate the recalcitrance dynamics across different developmental stages and strains of <em>D. farinosus</em>. The results revealed that enhanced recalcitrance is primarily attributed to the migration of high-concentration enzymatic substrates and increased cell wall compactness. Additionally, lignin polymerization and the formation of C-C bonds contribute to resistance, whereas increased hemicellulose side chains tend to weaken recalcitrance. Cellulose structure emerged as the core determinant of recalcitrance, with increased cellulose crystallinity (XK8 increased by −4.5 %, XK12 increased by 16.4 %, XK23 increased by 31.9 %) significantly enhancing recalcitrance. This indicates that cellulose structure defines the recalcitrance of <em>D. farinosus</em>. Transcriptomic analysis further demonstrated that upregulated structural polysaccharide biosynthesis pathways may enhance cellulose crystallinity, thereby reducing enzymatic saccharification efficiency. Notably, Deep Eutectic Solvent (DES) treatment reconstructed cellulose matrices, significantly weakening recalcitrance. These findings provide a theoretical foundation for breeding low-recalcitrance bamboo germplasms and advancing bamboo biorefinery technologies.</div></div>","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"204 ","pages":"Article 108331"},"PeriodicalIF":5.8,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing biomedical waste generation modeling using quantum machine learning and economic development indicators 利用量子机器学习和经济发展指标优化生物医学废物产生模型

IF 5.8 2区生物学

Biomass & Bioenergy Pub Date : 2025-09-13 DOI: 10.1016/j.biombioe.2025.108312

Usman U. Aliyu , Ismail A. Mahmoud , Sagir Mati , Sukalpaa Chaki , Tukur Abdulkadir Sulaiman , A.G. Usman , Sani I. Abba

{"title":"Optimizing biomedical waste generation modeling using quantum machine learning and economic development indicators","authors":"Usman U. Aliyu , Ismail A. Mahmoud , Sagir Mati , Sukalpaa Chaki , Tukur Abdulkadir Sulaiman , A.G. Usman , Sani I. Abba","doi":"10.1016/j.biombioe.2025.108312","DOIUrl":"10.1016/j.biombioe.2025.108312","url":null,"abstract":"<div><div>Reliable biomedical waste (BMW) prediction is essential for designing efficient waste management systems that protect sustainable cities from health risks. Machine learning (ML) modeling provides efficient and accurate systems, which aid in maximizing management operations. This study analyzes three standalone ML models, namely support vector regression (SVR), narrow neural networks (N-NN), and optimized SVR with quantum behavior particle swarm (QPSO-SVR) for predicting BMW generation rates. The study aimed to assess the data reliability and applicability of ML models for supporting data-driven strategies in waste management planning and public health policy. Feature engineering was used to determine the input variables, and model performance was evaluated using statistical indices aided by 2D visualizations. The prediction outcome indicated that N-NN achieved the highest predictive accuracy (95 %), outperforming SVR and QPSO-SVR (both 91 %). The testing phase further revealed an increased performance with SVR recording the lowest mean squared error (MSE = 0.0108(kg/day)), followed by QPSO-SVR (MSE = 0.0111(kg/day)), indicating strong generalization. Data reliability was verified using Augmented Dickey-Fuller (ADF), Phillips-Perron (PP), and Jarque-Bera (JB) tests. ADF and PP tests confirmed stationarity, and JB confirmed partial normality. The results demonstrate the ability of ML models to enhance forecasting accuracy. This will support informed decision-making in sustainable waste management and public health protection. Future work could focus on developing hybrid models with advanced data integration to utilize complementary strengths and improve the accuracy and robustness of real-time predictions.</div></div>","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"204 ","pages":"Article 108312"},"PeriodicalIF":5.8,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Carbon-regulated MnxOy catalysts from Mn-MOF-74: Synergistic effects on glucose oxidation to formic acid Mn-MOF-74碳调控MnxOy催化剂对葡萄糖氧化制甲酸的协同作用

IF 5.8 2区生物学

Biomass & Bioenergy Pub Date : 2025-09-13 DOI: 10.1016/j.biombioe.2025.108367

Hongrui Guo , Chengjie Sun , Mo Qiu , Hejuan Wu , Zhihui Ma , Jirui Yang , Feng Shen

{"title":"Carbon-regulated MnxOy catalysts from Mn-MOF-74: Synergistic effects on glucose oxidation to formic acid","authors":"Hongrui Guo , Chengjie Sun , Mo Qiu , Hejuan Wu , Zhihui Ma , Jirui Yang , Feng Shen","doi":"10.1016/j.biombioe.2025.108367","DOIUrl":"10.1016/j.biombioe.2025.108367","url":null,"abstract":"<div><div>The catalytic oxidation of glucose to formic acid (FA) represents a crucial route for biomass valorization. Metal–organic framework (MOF)-derived carbon composites offer exceptional tunability for catalyst design. Herein, a series of carbon-regulated Mn<sub>x</sub>O<sub>y</sub>/C catalysts from Mn-MOF-74 precursors via controlled calcination atmospheres and temperatures, achieving satisfactory performance in glucose-to-FA conversion. Comprehensive characterization reveals that the carbon matrix plays a synergistic effect: dispersing Mn<sub>x</sub>O<sub>y</sub> nanoparticles to enhance substrate accessibility, and preventing Mn leaching to improve stability. The FA yield is determined by fine-tuning key parameters: the (Mn<sup>2+</sup>+Mn<sup>3+</sup>)/Mn valence ratio and Mn<sub>x</sub>O<sub>y</sub> particle size. Combined DFT and experimental analyses demonstrate that Mn valence states determine reaction kinetics: Mn<sub>3</sub>O<sub>4</sub> exhibits elevated glucose adsorption energy and reduced formic acid (FA) desorption energy, while MnO displays an opposing trend, rationalizing the activity differences. This work establishes a carbon-mediated synergy strategy for designing efficient Mn-based catalysts in biomass oxidation upgrading.</div></div>","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"204 ","pages":"Article 108367"},"PeriodicalIF":5.8,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of [Emim]Glu ionic liquid as a deconstruction solvent for lignocellulosic biomass to biobased materials [Emim]Glu离子液体作为木质纤维素生物质分解为生物基材料的溶剂的评价

IF 5.8 2区生物学

Biomass & Bioenergy Pub Date : 2025-09-13 DOI: 10.1016/j.biombioe.2025.108380

Pervaiz Ahmad , Awais Khalid , Abdulhameed Khan , Nawshad Muhammad

{"title":"Evaluation of [Emim]Glu ionic liquid as a deconstruction solvent for lignocellulosic biomass to biobased materials","authors":"Pervaiz Ahmad , Awais Khalid , Abdulhameed Khan , Nawshad Muhammad","doi":"10.1016/j.biombioe.2025.108380","DOIUrl":"10.1016/j.biombioe.2025.108380","url":null,"abstract":"<div><div>Lignocellulosic biomass has the potential to be transformed into platform chemicals, biofuels, and materials. This work considered an undisclosed 1-ethyl-2-methylimidazolium glutamate ([Emim]Glu) ionic liquid from the class of amino acid-based ionic liquids for effienct deconstruction of biomass (previously only separation of lignin and holocellulose has been reported) into three components (lignin, cellulose, and hemicellulose) of biomass and further release of glucose that owed for bioethanol production. Using [Emim]Glu, bamboo biomass was successfully deconstructed, leading to high component separation efficiency in mild conditions (120 °C, 19 h). A remarkable 65.2 % cellulose recovery, 60.1 % lignin yield, and 7.2 % hemicellulose recovery were attained by the optimized process. After 8 h of saccharification, the regenerated cellulose-rich fraction produced up to 86 % glucose, demonstrating exceptional enzymatic digestibility. While FTIR, HPLC, Raman spectroscopy and CHNS etc confirmed component separation. Additionally, [Emim]Glu showed excellent recyclability with negligible performance loss. These findings show that [Emim]Glu is a green and effective solvent for the fractionation of biomass and the production of glucose, with promising potential for the development of sustainable bioethanol.</div></div>","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"204 ","pages":"Article 108380"},"PeriodicalIF":5.8,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing biofuel production through algal biorefineries: Optimization of polysaccharide utilization, AI-driven innovations, and sustainability assessments 通过藻类生物精炼推进生物燃料生产：优化多糖利用、人工智能驱动的创新和可持续性评估

IF 5.8 2区生物学

Biomass & Bioenergy Pub Date : 2025-09-13 DOI: 10.1016/j.biombioe.2025.108366

Suvarshitha Pusuluru , Karrun Velmurugan , Sai Kumar Punna , Madhumita Ravikumar , Venkatesh Kannan M , Mohanraj Kumar , Hanadi A. Almukhlifi , Farhan R. Khan , Ali Hazazi , Farid Menaa

{"title":"Advancing biofuel production through algal biorefineries: Optimization of polysaccharide utilization, AI-driven innovations, and sustainability assessments","authors":"Suvarshitha Pusuluru , Karrun Velmurugan , Sai Kumar Punna , Madhumita Ravikumar , Venkatesh Kannan M , Mohanraj Kumar , Hanadi A. Almukhlifi , Farhan R. Khan , Ali Hazazi , Farid Menaa","doi":"10.1016/j.biombioe.2025.108366","DOIUrl":"10.1016/j.biombioe.2025.108366","url":null,"abstract":"<div><div>The growing global energy demand and the need for sustainable alternatives to fossil fuels have accelerated the development of algal biorefineries for biofuel production. Algal polysaccharides, such as cellulose and hemicellulose, offer high-potential feedstocks due to their rich carbohydrate content. Recent advances in pretreatment methods, including deep eutectic solvents and physicochemical techniques, have improved enzymatic hydrolysis, resulting in higher conversion rates and enhanced fermentation efficiency. These improvements have significantly increased biofuel yields while supporting environmental sustainability. Artificial intelligence (AI) and machine learning (ML) are transforming algal bioprocess optimization. Predictive modeling, artificial neural networks, and evolutionary algorithms such as genetic algorithms, fuzzy logic, and particle swarm optimization contribute to enzyme design, fermentation control, cost reduction, and process scalability. In parallel, technoeconomic and environmental assessments, particularly life cycle assessment (LCA), are vital for evaluating resource efficiency, greenhouse gas emissions, and long-term sustainability. This review highlights advancements in polysaccharide utilization, AI-driven innovations, and sustainability frameworks, positioning algal biorefineries as key enablers of global energy security and the transition to a circular bioeconomy.</div></div>","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"204 ","pages":"Article 108366"},"PeriodicalIF":5.8,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating dry leaf combustion with palm empty fruit bunch pyrolysis for biochar production and energy recovery: An Aspen Plus model 结合干叶燃烧与棕榈空果束热解生物炭生产和能量回收：一个Aspen Plus模型

IF 5.8 2区生物学

Biomass & Bioenergy Pub Date : 2025-09-13 DOI: 10.1016/j.biombioe.2025.108383

Fitria Yulistiani , Aqsha , Yazid Bindar

引用次数: 0

Adaptive laboratory evolution (ALE) as a tool to ameliorate xylose consumption in Rhodosporidium toruloides-1588 适应性实验室进化（ALE）作为改善环形红孢子虫-1588木糖消耗的工具

IF 5.8 2区生物学

Biomass & Bioenergy Pub Date : 2025-09-13 DOI: 10.1016/j.biombioe.2025.108374

Lachi Wankhede , Carlos S. Osorio-Gonzalez , Rahul Saini , Satinder Kaur Brar

{"title":"Adaptive laboratory evolution (ALE) as a tool to ameliorate xylose consumption in Rhodosporidium toruloides-1588","authors":"Lachi Wankhede , Carlos S. Osorio-Gonzalez , Rahul Saini , Satinder Kaur Brar","doi":"10.1016/j.biombioe.2025.108374","DOIUrl":"10.1016/j.biombioe.2025.108374","url":null,"abstract":"<div><div><em>Rhodosporidium toruloides</em>, an oleaginous yeast, is extensively studied for biofuel production due to its ability to accumulate lipids. However, its industrial application is constrained by its inefficiency in xylose uptake and utilization, particularly when cultivated on lignocellulosic hydrolysates, where xylose is the second most abundant sugar. To address this challenge, <em>R. toruloides</em>-1588 was evolved using Adaptive Laboratory Evolution (ALE) as a tool in minimal media with xylose as the sole carbon source to enhance its utilization. The evolved strain achieved 99 % xylose consumption by the 13th generation, with a 70 % increase in xylose uptake within 16 h compared to the native strain. When cultivated in yeast malt synthetic media, the adapted strain showed a 15 % increase in xylose consumption and a 23.40 % increase in lipid accumulation with a two-fold increase in oleic acid content (52.42 %). Further, in bench-scale-up studies (1L) using xylose-wood hydrolysate (C5-wood hydrolysate) as a culture media, the evolved strain showed a maximum lipid accumulation of 23.42 g/L at 156 h, representing an 18.35 % increase compared to the native strain (19.79 g/L) under the same conditions. These results highlighted the effectiveness of adaptive laboratory evolution in enhancing xylose uptake by <em>R. toruloides-</em>1588. This led to an improved growth, sugar co-utilization, and lipid accumulation on complex substrates for sustainable biofuel production.</div></div>","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"204 ","pages":"Article 108374"},"PeriodicalIF":5.8,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ZnO/Cu-BTC metal-organic frameworks as a heterogeneous catalyst for efficient transformation of waste cooking oil into biodiesel ZnO/Cu-BTC金属有机骨架作为多相催化剂将废食用油高效转化为生物柴油

IF 5.8 2区生物学

Biomass & Bioenergy Pub Date : 2025-09-13 DOI: 10.1016/j.biombioe.2025.108381

Basiru O. Yusuf , Saheed A. Ganiyu , Abdul Malik P. Peedikakkal , Sulayman A. Oladepo

{"title":"ZnO/Cu-BTC metal-organic frameworks as a heterogeneous catalyst for efficient transformation of waste cooking oil into biodiesel","authors":"Basiru O. Yusuf , Saheed A. Ganiyu , Abdul Malik P. Peedikakkal , Sulayman A. Oladepo","doi":"10.1016/j.biombioe.2025.108381","DOIUrl":"10.1016/j.biombioe.2025.108381","url":null,"abstract":"<div><div>Metal-organic frameworks (MOFs) are widely regarded as promising materials in the field of catalysis due to their unique properties, including large porosity, high surface area, and adjustable properties. In this study, facile and efficient heterogeneous catalysts were prepared by modification of a copper-based MOFs constructed from 1,3,5-benzenetricarboxylate (BTC) with zinc oxide (ZnO/Cu-BTC), and the composite was applied as a catalytic agent for biodiesel production using waste cooking oil (WCO) as the feedstock. Characterization techniques, such as XRD, SEM, TEM, FTIR, TGA and N<sub>2</sub> adsorption-desorption, were employed to analyze the catalyst, which was then used for the conversion of WCO into biodiesel. We characterized the resulting biodiesel using GC-MS and NMR. The ZnO/Cu-BTC catalyst exhibits an impressive biodiesel conversion of 92.4 % under optimum conditions of 4 wt% catalyst loading, 20:1 methanol/WCO molar ratio at 160 °C for 4 h. This efficiency is ascribed to the synergistic action of the bimetallic components, coupled with enhanced surface properties. Additionally, ZnO/Cu-BTC catalyst showed excellent durability, maintaining 84.1 % conversion even after three reaction cycles. Kinetics investigation showed that the transformation to biodiesel proceeds via pseudo-first order kinetics. In comparison with other solid catalysts reported in previous studies, ZnO/Cu–BTC catalyst showed good WCO biodiesel conversion. The biodiesel conformed to ASTM6751 fuel standards, indicating successful performance. Finally, the results presented in this study show that ZnO/Cu–BTC catalyst is an effective solid catalyst for the conversion of WCO to biodiesel.</div></div>","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"204 ","pages":"Article 108381"},"PeriodicalIF":5.8,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0