Biomass & Bioenergy最新文献_第8页

Biomethane upgrading from dairy wastes via microbial cell-to-cell signaling molecules 通过微生物细胞间信号分子从乳制品废物中提取生物甲烷

IF 5.8 2区生物学 Q1 AGRICULTURAL ENGINEERING

Biomass & Bioenergy

Pub Date : 2025-12-08 DOI: 10.1016/j.biombioe.2025.108757

Ángela Lao-Zea , M. Luisa Lorenzo , María del Prado García-Aparicio , Isabel Higueras , Javier Contreras , Raquel Iglesias , Miguel G. Acedos

Anaerobic digestion (AD) of wastewater treatment plant (WWTP) sludge is commonly practiced but often yields suboptimal methane production due to substrate limitations. This study explores a novel strategy to enhance biogas and methane production by co-digesting WWTP sewage sludge with a lipid-rich residue from cheese factory wastewater treatment plant —dairy waste greases— and stimulating microbial activity using the quorum sensing (QS) molecule N-dodecanoyl-L-homoserine lactone (12-HSL). An 80:20 ratio of sewage sludge to grease achieved high biogas volume (700 NmL_CH4/g_VS) with ∼70 % methane content. The addition of 12-HSL significantly boosted methane production, with the most pronounced effect (38 % increase in methane yield and 33 % in biogas volume) observed when applied on day 4 of digestion. Metagenomic analysis revealed that 12-HSL modulated the microbial community, enriching key hydrolytic and methanogenic populations—particularly Halobacterota—and upregulating pathways related to signal transduction, stress tolerance, and substrate degradation. These findings demonstrate that QS-based biostimulation is a promising tool to improve methane yields and microbial efficiency in anaerobic digestion of water treatment systems, offering a scalable microbiome-driven tool to improve energy recovery, reduce organic loads, and support circular resource use.

污水处理厂（WWTP）污泥的厌氧消化（AD）是常用的做法，但由于底物的限制，往往产生次优的甲烷产量。本研究探索了一种新的策略，通过将WWTP污水污泥与奶酪厂废水处理厂的富脂残留物-乳制品废油-共消化，并使用群体感应（QS）分子n -十二烷基- l-高丝氨酸内酯（12-HSL）刺激微生物活性，来提高沼气和甲烷的产量。污水污泥与油脂的比例为80:20，可获得高沼气量（700 NmLCH4/gVS），甲烷含量约为70%。12-HSL的添加显著提高了甲烷产量，在消化的第4天施用时效果最显著（甲烷产量增加38%，沼气量增加33%）。宏基因组分析显示，12-HSL调节了微生物群落，丰富了关键的水解和产甲烷菌群，特别是盐杆菌，并上调了与信号转导、胁迫耐受性和底物降解相关的途径。这些发现表明，基于qs的生物刺激是一种很有前途的工具，可以提高水处理系统厌氧消化中的甲烷产量和微生物效率，提供可扩展的微生物组驱动工具，以提高能量回收率，减少有机负荷，并支持循环资源利用。

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引用次数: 0

Thermo-economic decision-making and intelligent optimization of a sustainable biogas-driven system with integrated peak demand management 集成峰值需求管理的可持续沼气驱动系统热经济决策与智能优化

IF 5.8 2区生物学 Q1 AGRICULTURAL ENGINEERING

Biomass & Bioenergy

Pub Date : 2025-12-08 DOI: 10.1016/j.biombioe.2025.108785

Ling Ji , Ali Basem , Hyder H. Abed Balla , Yonghui Li , Omar J. Alkhatib , Mohamed Ayadi , Sherzod Abdullaev , Hind Albalawi , Abdulrahman M. Alansari , Ibrahim Mahariq

This study presents an innovative framework for sustainable biogas utilization through a multi-integrated cooling and power system. This system is designed to address the increasing global demand for clean energy, higher cooling loads, and reliable peak demand management. The proposed configuration is motivated by the limitations of conventional biogas-to-power technologies, which typically suffer from low efficiency, inadequate waste-heat recovery, and limited flexibility under variable loads. To overcome these challenges, the system integrates a biogas-fed gas turbine with a supercritical CO₂ cycle to maximize energy recovery, while a double-effect absorption chiller converts exhaust heat into valuable cooling output. A compressed air energy storage unit is incorporated to ensure robust peak demand management. The system's performance is evaluated using thermodynamic, exergy, exergoeconomic, and net present value (NPV) analyses. An intelligent optimization framework, combining sensitivity assessment, artificial neural networks, and the NSGA-II algorithm, supports multi-objective decision-making aimed at maximizing efficiency, improving profitability, and reducing unit product cost. The optimized configuration achieves a round-trip exergetic efficiency of 43.6 %, an NPV of 40.71 M$, and a unit product cost of 34.99 $/GJ, indicating enhanced economic returns and superior load-handling capability. The proposed design offers a strong pathway for integrating biogas into low-carbon energy infrastructures.

本研究提出了一个创新的框架，通过一个多集成的冷却和电力系统，可持续利用沼气。该系统旨在满足全球对清洁能源日益增长的需求，更高的冷却负荷，以及可靠的峰值需求管理。由于传统的沼气发电技术存在效率低、废热回收不足以及在可变负荷下灵活性有限等问题，因此提出了这种配置方案。为了克服这些挑战，该系统将沼气燃气轮机与超临界二氧化碳循环集成在一起，以最大限度地回收能源，而双效吸收式制冷机将废气热量转化为有价值的冷却输出。压缩空气储能单元的结合，以确保稳健的高峰需求管理。系统的性能评估使用热力学，火用，火用经济和净现值（NPV）分析。结合灵敏度评估、人工神经网络和NSGA-II算法的智能优化框架，支持以效率最大化、盈利能力提高和单位产品成本降低为目标的多目标决策。优化后的配置实现了43.6%的往返用能效率，NPV为4071万美元，单位产品成本为34.99美元/GJ，表明经济效益提高，负载处理能力优越。拟议的设计为将沼气整合到低碳能源基础设施中提供了一条强有力的途径。

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引用次数: 0

Machine learning-assisted life cycle environmental sustainability assessment of crop straw biochar carbon sequestration 机器学习辅助作物秸秆生物炭固碳生命周期环境可持续性评价

IF 5.8 2区生物学 Q1 AGRICULTURAL ENGINEERING

Biomass & Bioenergy

Pub Date : 2025-12-08 DOI: 10.1016/j.biombioe.2025.108814

Fang Xia , Zhuo Zhang , Yuanyuan Li , Chouyuan Liang , Cheng Cheng , Huiying Li , Kening Wu

Crop straw (CS) biochar carbon sequestration has gained widespread attention as a negative emission technology for mitigating climate change. However, the diversity of feedstock types and the complexity of the pyrolysis process present significant challenges to conducting a comprehensive assessment of environmental sustainability. This study employs a life cycle assessment (LCA) approach, using 1 ton of CS as the functional unit, to evaluate the life cycle environmental sustainability of biochar carbon sequestration of three common agricultural CS (rice straw, corn straw, and wheat straw) produced at different temperatures (300–700 °C). The biochar sequestration life cycle stages were categorized into feedstock collection, pretreatment and pyrolysis, and product application. The product application considers both biochar carbon sequestration and by-products. In addition, we developed a machine learning (ML) model that employs random forest algorithms to predict the f influencing the global warming potential (GWP) of CS biochar throughout its entire life cycle and to identify key influencing factors. The results indicate when pyrolysis temperatures are maintained between 600 and 700 °C, CS biochar achieves optimal carbon sequestration while minimizing impacts on ecosystems and human health. The production characteristics of biochar (bio-oil yield, syngas yield, temperature, and biochar yield) are the main influencing factors of GWP, contributing 85 %, followed by the properties of biochar (oxygen, hydrogen, carbon, and ash content), which account for 14 %. In contrast, the characteristics of the feedstock have the least influence on GWP, contributing only 1 %.

农作物秸秆生物炭固碳作为一种缓解气候变化的负排放技术受到了广泛关注。然而，原料类型的多样性和热解过程的复杂性为进行环境可持续性的综合评估带来了重大挑战。本研究采用生命周期评价（LCA）方法，以1吨秸秆为功能单位，对不同温度（300 ~ 700℃）下生产的3种常见农业秸秆（水稻秸秆、玉米秸秆和小麦秸秆）生物炭固碳的生命周期环境可持续性进行了评价。生物炭固存的生命周期阶段分为原料收集阶段、预处理热解阶段和产品应用阶段。产品应用考虑了生物炭固碳和副产品。此外，我们开发了一个机器学习（ML）模型，该模型采用随机森林算法来预测CS生物炭在其整个生命周期内对全球变暖潜势（GWP）的影响，并确定关键影响因素。结果表明，当热解温度保持在600 ~ 700℃之间时，CS生物炭的固碳效果最佳，同时对生态系统和人类健康的影响最小。生物炭的生产特性（生物油产率、合成气产率、温度和生物炭产率）是影响GWP的主要因素，占85%，其次是生物炭的特性（氧、氢、碳和灰分含量），占14%。相比之下，原料特性对GWP的影响最小，仅占1%。

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引用次数: 0

Gasification of glass recycling waste: A technical, economic and environmental approach on a semi-industrial scale 玻璃回收废料的气化：半工业规模的技术、经济和环境方法

IF 5.8 2区生物学 Q1 AGRICULTURAL ENGINEERING

Biomass & Bioenergy

Pub Date : 2025-12-08 DOI: 10.1016/j.biombioe.2025.108801

Marta Terrados-Cristos , Luís Carmo-Calado , Octávio Alves , Cristina Martin-Doñate , Francisco Ortega-Fernández , Paulo Brito

This work investigates energy recovery from glass-industry waste, treated as Refuse Derived Fuel (RDF), through bubbling fluidized bed gasification. A blend of 30 % RDF and 70 % olive-pomace pellets was tested at semi-industrial scale to evaluate syngas quality, process efficiency, and solid residues. Higher temperatures improved gas quality, yielding a maximum H₂ concentration of 15.2 % and the lowest tar production (33 g/kg) at 1000 °C, although cold gas efficiency decreased, reaching 53 % at 1100 °C. Economic assessment indicated moderate viability, with a 14.4-year payback and a positive NPV (407 k€), while LCA results highlighted reduced CO₂ emissions compared to natural gas but increased NOx formation. Gasification of this type of industrial waste represents a sustainable alternative for replacing fossil sources, contributing to the objectives of the circular economy and decarbonization of the industrial sector. Strategies such as optimizing combustion temperature, improving air–fuel mixing, and exploring selective catalytic or post-combustion treatments could help reduce NOx emissions, enhancing the local environmental performance of the process.

本文研究了利用鼓泡流化床气化处理玻璃工业废料作为垃圾衍生燃料（RDF）的能源回收。在半工业规模上对30% RDF和70%橄榄渣颗粒的混合物进行了测试，以评估合成气的质量、工艺效率和固体残留物。较高的温度改善了气体质量，在1000°C时H2浓度最高为15.2%，焦油产量最低（33 g/kg），尽管冷气体效率下降，在1100°C时达到53%。经济评估表明，该技术的可行性适中，投资回收期为14.4年，净现值为正（407 k欧元），而LCA结果显示，与天然气相比，该技术减少了二氧化碳排放，但增加了氮氧化物的生成。这类工业废物的气化是替代化石资源的可持续选择，有助于实现循环经济和工业部门脱碳的目标。优化燃烧温度、改善空气燃料混合、探索选择性催化或燃烧后处理等策略可以帮助减少氮氧化物排放，提高该过程的当地环境绩效。

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引用次数: 0

Machine learning prediction of glucose production from lignocellulosic biomass through various pretreatment methods 机器学习预测通过各种预处理方法从木质纤维素生物质中生产葡萄糖

IF 5.8 2区生物学 Q1 AGRICULTURAL ENGINEERING

Biomass & Bioenergy

Pub Date : 2025-12-08 DOI: 10.1016/j.biombioe.2025.108811

Yao Zhang , Tao Zhao , Lin Xiao , Jinlong Yan , Jing Li , Zhiliang Yao

With the growing global emphasis on reducing carbon emissions, bioenergy as a renewable resource has gained increasing attention. Lignocellulosic biomass (LCB) has become a key research focus due to its abundance and low cost. This study aims to predict and understand the glucose production process from LCB using machine learning (ML) techniques, thereby assisting future studies and practices to enhance glucose yield. Five ML models—multilayer perceptron (MLP), support vector regression (SVR), random forest (RF), gradient boosting decision tree (XGB), and convolutional neural network (CNN)—were employed to predict glucose yield from various feedstocks with typical pretreatment methods. CNN demonstrated the best performance with an R² of 0.95, highlighting its excellent generalization ability and prediction accuracy. Following CNN, XGB and RF also showed satisfactory predictive performance, with R² of 0.86 and 0.85, respectively. Feature extraction and principal component analysis (PCA) significantly enhanced prediction accuracy, increasing the R² of CNN from 0.76 to 0.95. Through Shapley Additive exPlanations (SHAP) analysis, the lignin removal rate and ratio of glucan to lignin were found to be the most significant factors in determining glucose yield. This study provides new methods and insights for optimizing the glucose production process from LCB, offering empirical support for advancing bioenergy technologies.

随着全球对减少碳排放的日益重视，生物能源作为一种可再生资源受到越来越多的关注。木质纤维素生物质（LCB）因其丰富且成本低而成为研究热点。本研究旨在利用机器学习（ML）技术预测和理解LCB的葡萄糖生产过程，从而帮助未来的研究和实践提高葡萄糖产量。采用多层感知器（MLP）、支持向量回归（SVR）、随机森林（RF）、梯度增强决策树（XGB）和卷积神经网络（CNN） 5种ML模型，采用典型的预处理方法预测不同原料的葡萄糖产量。CNN表现最好，R2为0.95，突出了其出色的泛化能力和预测精度。继CNN之后，XGB和RF也表现出令人满意的预测性能，R2分别为0.86和0.85。特征提取和主成分分析（PCA）显著提高了预测精度，使CNN的R2从0.76提高到0.95。通过Shapley加性解释（Shapley Additive explanation， SHAP）分析，发现木质素去除率和葡聚糖与木质素的比例是决定葡萄糖产率的最显著因素。本研究为优化LCB产糖过程提供了新的方法和见解，为推进生物能源技术提供了实证支持。

{"title":"Machine learning prediction of glucose production from lignocellulosic biomass through various pretreatment methods","authors":"Yao Zhang , Tao Zhao , Lin Xiao , Jinlong Yan , Jing Li , Zhiliang Yao","doi":"10.1016/j.biombioe.2025.108811","DOIUrl":"10.1016/j.biombioe.2025.108811","url":null,"abstract":"<div><div>With the growing global emphasis on reducing carbon emissions, bioenergy as a renewable resource has gained increasing attention. Lignocellulosic biomass (LCB) has become a key research focus due to its abundance and low cost. This study aims to predict and understand the glucose production process from LCB using machine learning (ML) techniques, thereby assisting future studies and practices to enhance glucose yield. Five ML models—multilayer perceptron (MLP), support vector regression (SVR), random forest (RF), gradient boosting decision tree (XGB), and convolutional neural network (CNN)—were employed to predict glucose yield from various feedstocks with typical pretreatment methods. CNN demonstrated the best performance with an R<sup>2</sup> of 0.95, highlighting its excellent generalization ability and prediction accuracy. Following CNN, XGB and RF also showed satisfactory predictive performance, with R<sup>2</sup> of 0.86 and 0.85, respectively. Feature extraction and principal component analysis (PCA) significantly enhanced prediction accuracy, increasing the R<sup>2</sup> of CNN from 0.76 to 0.95. Through Shapley Additive exPlanations (SHAP) analysis, the lignin removal rate and ratio of glucan to lignin were found to be the most significant factors in determining glucose yield. This study provides new methods and insights for optimizing the glucose production process from LCB, offering empirical support for advancing bioenergy technologies.</div></div>","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"207 ","pages":"Article 108811"},"PeriodicalIF":5.8,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731721","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

Fluorescent carbon quantum dots from walnut green husk waste: Synthesis, characterization, and application in sustainable inkjet printing 核桃绿壳废弃物的荧光碳量子点：合成、表征及其在可持续喷墨印刷中的应用

IF 5.8 2区生物学 Q1 AGRICULTURAL ENGINEERING

Biomass & Bioenergy

Pub Date : 2025-12-08 DOI: 10.1016/j.biombioe.2025.108744

Maedeh Beigi , Meysam Saberi , Amir Rezvani-Moghaddam , Hossein Roghani-Mamaqani

The increasing demand for sustainable materials has driven the exploration of biomass waste as a valuable resource for producing functional nanomaterials. Carbon quantum dots (CQDs), due to their unique optical properties, have gained significant attention in various applications, including sensing, imaging, and printing technologies. In this study, CQDs were synthesized from walnut green husk waste through a hydrothermal method, showcasing outstanding fluorescent properties. The primary goal was to explore the potential of using this abundant and inexpensive biomass waste as a sustainable precursor for high-performance CQDs with promising optical properties. Various characterization techniques, including UV–Vis spectroscopy, photoluminescence (PL), particle size determination, scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDAX), Fourier-transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), and field emission scanning electron microscopy (FESEM), were employed to analyze the synthesized CQDs. The study revealed that the optimal fluorescent properties were achieved with 6 wt % of walnut husk, with emission intensity reaching its peak. Furthermore, nitrogen-doped CQDs (N-E-CQD), synthesized using ethylenediamine, exhibited enhanced fluorescence and superior surface interactions compared to urea-doped CQDs (N-U-CQD). The N-E-CQD demonstrated better optical performance, making it the ideal candidate for further applications. The potential of these CQDs as fluorescent inks was confirmed through their use in inkjet printing, where the printed samples showed excellent performance under both visible and ultraviolet light. This work not only highlights the promising application of walnut green husk waste in CQD synthesis but also its feasibility in advanced printing technologies, paving the way for sustainable and functional material development.

对可持续材料日益增长的需求推动了对生物质废物作为生产功能纳米材料的宝贵资源的探索。碳量子点（CQDs）由于其独特的光学特性，在传感、成像和印刷技术等领域得到了广泛的应用。本研究以核桃绿壳为原料，通过水热法合成了CQDs，该CQDs具有优异的荧光特性。主要目标是探索利用这种丰富而廉价的生物质废物作为具有良好光学特性的高性能CQDs的可持续前体的潜力。采用紫外可见光谱、光致发光（PL）、粒度测定、扫描电镜（SEM）、能量色散x射线光谱（EDAX）、傅里叶变换红外（FTIR）光谱、x射线衍射（XRD）和场发射扫描电镜（FESEM）等表征技术对合成的CQDs进行了分析。研究表明，当核桃壳质量分数为6%时，荧光性能达到最佳，荧光强度达到峰值。此外，与尿素掺杂cqd （N-U-CQD）相比，用乙二胺合成的氮掺杂cqd （N-E-CQD）表现出更强的荧光和更好的表面相互作用。N-E-CQD表现出更好的光学性能，使其成为进一步应用的理想候选者。这些CQDs作为荧光油墨的潜力通过它们在喷墨打印中的应用得到了证实，其中打印的样品在可见光和紫外光下都表现出优异的性能。本研究不仅突出了核桃绿壳在CQD合成中的应用前景，而且在先进印刷技术中的可行性，为可持续功能材料的开发铺平了道路。

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引用次数: 0

Field evaluation of biochar and fly ash as soil amendments for sugarcane cultivation on low-quality soils 生物炭和粉煤灰作为土壤改良剂在低品质土壤上甘蔗种植的田间评价

IF 5.8 2区生物学 Q1 AGRICULTURAL ENGINEERING

Biomass & Bioenergy

Pub Date : 2025-12-08 DOI: 10.1016/j.biombioe.2025.108779

Kor Taweengern , Surachet Aramrak , Chinnathan Areeprasert

This study investigates the effects of biochar and fly ash on soil properties, heavy metal immobilization, and sugarcane productivity under field conditions. Biochar and fly ash were applied as soil amendments, and their impacts on soil bulk density, moisture retention, nutrient availability, heavy metal reduction, and sugarcane growth parameters were monitored over a 12-month period. Results revealed that biochar significantly improved soil physical and chemical properties, including reductions in bulk density and increases in nutrient availability and water retention, compared to fly ash and control treatments. Biochar also demonstrated superior performance in immobilizing heavy metals such as Cd, Zn, and Pb, reducing their mobility and bioavailability. Sugarcane yield was increased by 45.5 % in clay loam (approximately 78.5 tons/ha) and 76.2 % in sand soil (approximately 51.8 tons/ha). Additionally, the quality was improved, as evidenced by a month earlier in Brix saturation and increased stem diameter (14.17 % in clay loam, 23.12 % in sand) in biochar-treated plots. Fly ash provided moderate benefits, though less effective than biochar. The findings highlight biochar's potential as a sustainable agricultural amendment to enhance soil health and productivity while mitigating heavy metal contamination. However, because plant tissue metals were not analyzed, the implications for food-chain safety cannot be fully evaluated. Further research is recommended to explore the long-term effects and scalability of these amendments in different agro-ecosystems.

在田间条件下，研究了生物炭和粉煤灰对土壤性质、重金属固定化和甘蔗生产力的影响。采用生物炭和粉煤灰作为土壤改良剂，监测其对土壤容重、保墒、养分有效性、重金属还原和甘蔗生长参数的影响。结果表明，与粉煤灰和对照处理相比，生物炭显著改善了土壤的物理和化学性质，包括降低了土壤的容重，提高了土壤的养分有效性和保水能力。生物炭在固定化镉、锌、铅等重金属方面也表现出优异的性能，降低了重金属的迁移率和生物利用度。在粘土壤土中甘蔗产量增加45.5%（约78.5吨/公顷），在沙土中增加76.2%（约51.8吨/公顷）。此外，生物炭处理的土壤质量也有所提高，其白度饱和度提前1个月，茎粗增加（粘土壤土14.17%，砂土23.12%）。粉煤灰提供了适度的好处，尽管不如生物炭有效。这些发现强调了生物炭作为一种可持续的农业改良剂的潜力，它可以增强土壤健康和生产力，同时减轻重金属污染。然而，由于没有对植物组织金属进行分析，因此无法充分评估其对食品链安全的影响。建议进一步研究这些修正在不同农业生态系统中的长期效果和可扩展性。

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引用次数: 0

Catalytic strategies for C–O bond cleavage in lignin and its derivatives: Mechanisms and pathways toward high-value chemicals 木质素及其衍生物中C-O键裂解的催化策略：高价值化学品的机制和途径

IF 5.8 2区生物学 Q1 AGRICULTURAL ENGINEERING

Biomass & Bioenergy

Pub Date : 2025-12-08 DOI: 10.1016/j.biombioe.2025.108804

Xiang Tan, Peng Luo, Liya Cao

As an aromatic-rich renewable biomass resource, lignin remains underutilized, primarily serving as a low-value fuel for combustion, which generates significant carbon emissions. The fundamental challenge in the catalytic conversion of lignin and its derivatives lies in the robust stability of both C–O and C–C bonds within their structural units, where the high abundance of C–O bonds further complicates selective cleavage. The ubiquity of C–O bonds in lignin and its derivatives, coupled with their high bond dissociation energy barriers, complicates the selective cleavage of these bonds. This review systematically examines the structural characteristics of lignin and its derivatives, the way C–O bond directional cleavage upgrading into high-value fine chemicals and liquid fuels, the characteristics of different catalyst systems, the advantages, and disadvantages of various catalysts, the relationship between catalyst structure and activity, and the mechanism of C–O bond cleavage. Among them, the strategies, reaction mechanisms, and the influence of various factors of C–O bond cleavage in lignin and its derivatives were critically reviewed, providing ideas and strategies for the high-value conversion and upgrading utilization of renewable biomass lignin, to provide reference and support for the green synthesis process of high-value fine chemicals.

作为一种富含芳香的可再生生物质资源，木质素仍未得到充分利用，主要作为燃烧的低价值燃料，产生大量的碳排放。木质素及其衍生物催化转化的根本挑战在于其结构单元内C-O和C-C键的强大稳定性，其中高丰度的C-O键进一步复杂化了选择性裂解。C-O键在木质素及其衍生物中的普遍存在，加上它们的高键解离能垒，使得这些键的选择性裂解变得复杂。本文综述了木质素及其衍生物的结构特点、C-O键定向裂解转化为高价值精细化学品和液体燃料的途径、不同催化剂体系的特点、各种催化剂的优缺点、催化剂结构与活性的关系以及C-O键裂解机理。其中对木质素及其衍生物中C-O键裂解的策略、反应机理以及各种因素的影响进行了综述，为可再生生物质木质素的高价值转化和升级利用提供思路和策略，为高价值精细化学品的绿色合成过程提供参考和支持。

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引用次数: 0

Biomass-derived composite aerogel from chitosan and spent coffee grounds with the green production of iron particles for applications in wastewater treatment 壳聚糖与废咖啡渣制备生物质复合气凝胶及其在废水处理中的应用

IF 5.8 2区生物学 Q1 AGRICULTURAL ENGINEERING

Biomass & Bioenergy

Pub Date : 2025-12-08 DOI: 10.1016/j.biombioe.2025.108790

Wachirapol Manimont, Yatika Paisart, Bryle Matthew Bacatan, Thamonwan Meephun, Fuangfa Unob

A novel chitosan composite aerogel was fabricated as an adsorbent for removing arsenic species from wastewater. Spent coffee grounds were utilized as a source of cellulose to reinforce the aerogel structure and as a natural source of reducing agents for the synthesis of iron particles. The synergy between chitosan and iron particles enhanced arsenic adsorption via interactions with amine functional groups and the incorporated iron particles. The composite aerogel was synthesized in a one-pot process using 2 % w/v chitosan, 1 % w/v cellulose, 0.3 % w/v FeCl₃, and coffee extract solution. The obtained aerogel demonstrated pronounced swelling capacity and satisfactory mechanical stability. The material effectively removed arsenic from aqueous solutions over a broad pH range (4–10). The adsorption of As(III) and As(V) followed pseudo-second-order kinetics, while the corresponding isotherms were best represented by the Langmuir model. Adsorption energies of 9.13 kJ mol⁻¹ for As(III) and 22.36 kJ mol⁻¹ for As(V) indicate a chemisorption-dominated mechanism as expected, with maximum adsorption capacities of 2.27 and 22.57 mg g⁻¹, respectively. Its effectiveness in removing arsenic from petroleum-refining wastewater was demonstrated. The sustainability of the biomass extraction process was assessed with Path2Green metrics, yielding a score of 0.470, indicating a relatively sustainable feasibility with a complete valorization of this biomass.

制备了一种新型壳聚糖复合气凝胶作为去除废水中砷的吸附剂。废弃的咖啡渣被用作纤维素的来源，以加强气凝胶结构，并作为合成铁颗粒的还原剂的天然来源。壳聚糖与铁颗粒之间的协同作用通过与胺官能团和铁颗粒的相互作用增强了砷的吸附。以2% w/v的壳聚糖、1% w/v的纤维素、0.3% w/v的FeCl3和咖啡萃取液为原料，采用一锅法制备了复合气凝胶。所得气凝胶具有明显的溶胀能力和令人满意的机械稳定性。该材料能在较宽的pH范围内（4-10）有效地去除水溶液中的砷。As（III）和As(V)的吸附遵循准二级动力学，等温线最好用Langmuir模型表示。As（III）的吸附能为9.13 kJ mol−1,As(V)的吸附能为22.36 kJ mol−1，表明其以化学吸附为主，最大吸附量分别为2.27和22.57 mg g−1。验证了该工艺对石油炼制废水中砷的去除效果。采用Path2Green指标对生物质提取过程的可持续性进行了评估，得分为0.470，表明该生物质的完全增值具有相对可持续的可行性。

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引用次数: 0

Synthesis of nitrogen-doped carbon-supported Ni-Fe bimetallic catalyst from waste pigeon pea stalk for optimised biodiesel production 废鸽豆秸秆合成氮掺杂碳负载Ni-Fe双金属催化剂用于优化生物柴油生产

IF 5.8 2区生物学 Q1 AGRICULTURAL ENGINEERING

Biomass & Bioenergy

Pub Date : 2025-12-08 DOI: 10.1016/j.biombioe.2025.108813

Rehan khan , Premraj Choudhary , Sudhanshu Kaithwas , Ramkishor Anant , Sumit H. Dhawane

Biomass-derived carbon-based heterogeneous catalysts have garnered significant interest in transesterification reactions due to their high surface area, porosity, good electrical conductivity, and eco-friendly nature. These materials present a sustainable and cost-effective alternative to conventional catalysts for biodiesel production, contributing to a reduced carbon footprint. In this study, biodiesel was synthesized from waste cooking oil (WCO) using a novel, indigenously developed bifunctional catalyst comprising NiO and Fe₃O₄ supported on mesoporous nitrogen-doped carbon derived from pigeon pea stalk waste (PPSW). The catalyst was extensively characterized using advanced analytical techniques. Process optimization was performed using the Taguchi method with an L₁₆ orthogonal array to assess the effects of reaction time, temperature, methanol-to-oil ratio, catalyst loading, and agitation speed. A maximum biodiesel yield of 86.2 % was achieved under optimized conditions: 60 °C, 60 min, 4 % catalyst loading, 12:1 methanol/oil ratio, and 400 RPM agitation speed. Among the studied parameters, methanol-to-oil ratio and agitation speed were found to have the most significant influence on yield. The resulting biodiesel met ASTM standards, confirming its suitability as a diesel substitute. Furthermore, an economic assessment indicated production costs of approximately $11.16 per kg of catalyst and $0.79 per kg of biodiesel. These findings demonstrate the viability of the developed N-doped carbon-supported Ni–Fe bimetallic catalyst for sustainable and cost-effective biodiesel production from WCO.

生物质衍生的碳基非均相催化剂因其高表面积、多孔性、良好的导电性和生态友好性而引起了人们对酯交换反应的极大兴趣。这些材料为生物柴油生产提供了一种可持续的、具有成本效益的传统催化剂替代品，有助于减少碳足迹。在本研究中，利用一种新型的双功能催化剂，由NiO和Fe3O4负载在介孔氮掺杂碳上，以废食用油（WCO）为原料合成了生物柴油。使用先进的分析技术对催化剂进行了广泛的表征。采用Taguchi法和L16正交试验对反应时间、温度、醇油比、催化剂用量和搅拌速度的影响进行了优化。优化条件为：60℃，60 min，催化剂用量为4%，甲醇/油比为12:1，搅拌转速为400 RPM，生物柴油收率为86.2%。其中，醇油比和搅拌速度对收率的影响最为显著。所得生物柴油符合ASTM标准，确认其作为柴油替代品的适用性。此外，一项经济评估表明，每公斤催化剂的生产成本约为11.16美元，每公斤生物柴油的生产成本约为0.79美元。这些发现证明了所开发的n掺杂碳负载Ni-Fe双金属催化剂的可行性，该催化剂可用于从WCO中生产可持续且具有成本效益的生物柴油。

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