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Sustainable production of fermentable gases (H₂ and CO₂) via fluidized bed gasification of wood waste and hydrochar 通过木材废料和碳氢化合物的流化床气化可持续生产可发酵气体(H₂和CO₂)
IF 5.4 Pub Date : 2025-12-01 Epub Date: 2025-10-30 DOI: 10.1016/j.scca.2025.100150
J. Guerrero, I. González García, W.D. Espinoza, A. Carmona-Martínez, C. Jarauta-Córdoba
Steam-bubbling fluidized bed (BFB) gasification offers a carbon-efficient route for coupling solid-waste valorization with microbial upgrading. This work investigates the pilot-scale production of a CO-lean, H₂/CO₂-rich syngas tailored for fermentation applications, by gasifying industrial waste wood and hydrochar in a dual-zone bubbling fluidized-bed reactor. A design-of-experiments framework varied bed temperature (350–550 °C), freeboard temperature (740–860 °C), air equivalence ratio (6–40 %), and steam-to-biomass ratio (0–1 kg/kg). Real-time gas analysis quantified product gas composition, while process performance was assessed via cold-gas efficiency (CGE), gas composition and lower heating value (LHV).
Optimal conditions for waste wood (freeboard 860 °C, steam = 1 kg/kg) yielded 21 vol.% H₂, 17 vol.% CO₂, 13 vol.% CO and CGE = 82.6 %. Hydrochar delivered 37 vol.% H₂,17 vol.% CO₂, 14 vol.% CO and CGE = 86.01 %, at lower bed temperatures (∼350 °C). Unlike previous gasification studies primarily focused on maximizing hydrogen yield or syngas heating value, this work targets fermentation-grade syngas compositions optimized for microbial conversion, demonstrating that feedstock selection and steam dosing are critical levers for controlling H₂/CO₂ ratios and minimizing CO inhibition.
These results constitute an innovative pilot-scale comparison of waste wood and HTC hydrochar gasification, highlighting a novel approach to tailoring syngas composition for biological upgrading and providing a validated process blueprint for integrating thermochemical conversion with CO₂ utilisation, advancing the objectives of sustainable chemistry for climate-action technologies.
蒸汽鼓泡流化床(BFB)气化为固体废物增值与微生物升级相结合提供了一条碳高效途径。本研究通过在双区鼓泡流化床反应器中气化工业废木材和碳氢化合物,研究了为发酵应用量身定制的CO-lean, H₂/CO₂富合成气的中试规模生产。实验设计框架可改变床温(350-550°C)、干舷温度(740-860°C)、空气等效比(6 - 40%)和蒸汽与生物质比(0-1 kg/kg)。实时气体分析量化了产品气体成分,同时通过冷气效率(CGE)、气体成分和低热值(LHV)来评估工艺性能。废木材的最佳条件(干舷860°C,蒸汽= 1 kg/kg)产生21 vol.% H₂,17 vol.% CO₂,13 vol.% CO和CGE = 82.6%。在较低床层温度(~ 350°C)下,碳氢化合物的H₂含量为37 vol.%, CO₂含量为17 vol.%, CO含量为14 vol.%, CGE = 86.01%。与以往的气化研究主要侧重于最大化氢气产量或合成气热值不同,这项工作针对微生物转化优化的发酵级合成气成分,表明原料选择和蒸汽用量是控制H₂/CO₂比和最小化CO抑制的关键杠杆。这些结果构成了废木材和HTC氢炭气化的创新中试规模比较,突出了为生物升级定制合成气成分的新方法,并为将热化学转化与二氧化碳利用相结合提供了经过验证的工艺蓝图,推进了可持续化学用于气候行动技术的目标。
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引用次数: 0
Recent advances in mechanistic pathways and catalyst architecture for the synthesis of sustainable aviation fuel from CO2 二氧化碳合成可持续航空燃料的机制途径和催化剂结构的最新进展
IF 5.4 Pub Date : 2025-12-01 Epub Date: 2025-11-05 DOI: 10.1016/j.scca.2025.100154
Sujit Kumar Guchhait, Shyam Khatana, Rajendra K. Saini, Anil Kumar Das, Shaswattam
The catalytic conversion of carbon dioxide (CO2) into valuable sustainable aviation fuel (SAF) is a " two-birds in one-stone" strategy for addressing the environmental challenges and fulfilling the present fuel demands in the aviation sector. In this present review, recent advances in various catalytic pathways, including mechanistic insights, catalyst architecture for conversion of CO2 to SAF are systematically explored. For conversion of CO2 into SAF with maximum conversion and high selectivity, the determining factors are reaction pathway, design of catalyst, their composition etc. Generally, production of SAF from CO2 takes place via two pathways: indirect and direct path. Here we have investigated recent progress in various reaction pathways, such as Reverse Water Gas Shift (RWGS) and Fischer-Tropsch synthesis (FTS) reaction, alcohol to jet fuel (AtJ) process, direct CO2 conversion etc. The research underlines the necessity of improved catalytic methods in achieving excellent selectivity and robustness during commercial application, particularly important for CO2 to SAF synthesis. Finally, the goal of this study is to present an in-depth evaluation of the present status of SAF investigation and commercialization for future prospectives.
将二氧化碳(CO2)催化转化为宝贵的可持续航空燃料(SAF)是解决环境挑战和满足航空业当前燃料需求的“一石二鸟”战略。在这篇综述中,系统地探讨了各种催化途径的最新进展,包括机制见解,催化剂结构将二氧化碳转化为SAF。将CO2转化为具有最大转化率和高选择性的SAF,其决定因素有反应途径、催化剂设计、组成等。一般来说,从二氧化碳中生产SAF有两种途径:间接途径和直接途径。本文主要介绍了反水气变换(RWGS)和费托合成(FTS)反应、醇制喷气燃料(AtJ)工艺、CO2直接转化等反应途径的最新进展。该研究强调了在商业应用中改进催化方法以获得优异的选择性和鲁棒性的必要性,特别是对CO2到SAF的合成至关重要。最后,本研究的目的是对SAF研究和商业化的现状进行深入评估,以展望未来。
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引用次数: 0
Advances in tandem catalytic systems for cyclic carbonate synthesis from olefins and CO2 under mild conditions 温和条件下烯烃与CO2合成环碳酸酯串联催化体系的研究进展
IF 5.4 Pub Date : 2025-12-01 Epub Date: 2025-10-11 DOI: 10.1016/j.scca.2025.100135
Suzaimi Johari, Mohd Rafie Johan
The sustainable conversion of carbon dioxide and olefins into cyclic carbonates under mild conditions has garnered significant attention due to its potential for efficient CO₂ utilization and environmentally friendly chemical processing. Tandem catalysis approaches, including auto-tandem and assisted-tandem reactions, offer promising strategies by combining epoxidation and CO₂ cycloaddition in a single or cooperative system. Auto-tandem catalysis, in which both transformations are facilitated by a single catalyst or catalytic site, provides an efficient route to high conversion and selectivity without the need for harsh conditions. In contrast, assisted-tandem catalysis employs multiple catalytic components that work synergistically to achieve the desired transformation, allowing for greater flexibility in tuning each reaction step. This short review highlights key advancements in versatile catalyst design from 2023 to 2025, with a focus on metal–organic frameworks (MOFs), covalent organic frameworks (COFs), porous polymers, and metal-free systems such as ionic liquids (ILs). In addition to catalytic performance, mechanistic insights are investigated, emphasizing the role of redox-active centers, Lewis acid/base cooperation, functional group modifications, and nanoscale designs. The merits and limitations of both tandem strategies are also discussed to inform the future design of sustainable catalysts for CO₂ utilization.
二氧化碳和烯烃在温和条件下可持续转化为环状碳酸盐,因其具有有效利用CO₂和环境友好的化学加工的潜力而备受关注。串联催化方法,包括自动串联和辅助串联反应,通过在单一或合作体系中结合环氧化和CO 2环加成,提供了很有前途的策略。自动串联催化是一种由单一催化剂或催化位点促进两种转化的有效途径,无需苛刻的条件即可实现高转化率和选择性。相比之下,辅助串联催化采用多种催化成分协同作用来实现所需的转化,从而在调整每个反应步骤时具有更大的灵活性。这篇简短的综述强调了2023年至2025年通用催化剂设计的关键进展,重点是金属有机框架(MOFs)、共价有机框架(COFs)、多孔聚合物和离子液体(ILs)等无金属体系。除了催化性能外,还研究了催化机理,强调了氧化还原活性中心、刘易斯酸/碱合作、官能团修饰和纳米级设计的作用。讨论了这两种串联策略的优点和局限性,为未来设计可持续的CO₂利用催化剂提供了信息。
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引用次数: 0
Reusable and efficient AA-co-PEOMA copolymer adsorbent for sustainable cationic dye mitigation from water 可重复使用的高效AA-co-PEOMA共聚物吸附剂,用于可持续地从水中去除阳离子染料
Pub Date : 2025-12-01 Epub Date: 2025-07-09 DOI: 10.1016/j.scca.2025.100096
Bharti Saini, Aneri Patel
The present study entails insight into the fabrication of a novel copolymer (AA-co-PEOMA) adsorbent using varying proportions of both acrylic acid (AA) and poly(ethylene oxide) mono methacrylate (PEOMA) for the mitigation of potential crystal violet (CV) dye from wastewater adsorbents. The copolymer adsorbent consists of a large number of -COOH groups and flexible PEOMA chains, providing enhanced adsorption capability compared to traditional materials. The copolymer adsorbent is synthesized via free-radical polymerization and characterized by using Fourier-transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD). The optimal adsorption conditions for CV dye are examined by adjusting various operational parameters such as the effect of pH, initial dye concentration, contact time, and temperature. The experimental results undergo additional analysis to align with multiple established kinetic and equilibrium isotherm models. The kinetics study inferred that the investigational data show a decent trend in line with the pseudo-second-order model. The adsorption of CV dye molecules on the synthesized copolymer mostly follows the Langmuir model, with the supreme adsorption capability (qmax) estimated to be 24.75 mg/g. Thermodynamic analysis confirmed the spontaneous and endothermic nature of the adsorption process. The reusability studies demonstrated sustainable performance over multiple cycles, and comparison of the proposed adsorbent with other potential adsorbents confirms the AA-co-PEOMA copolymer adsorbent's applicability for large-scale applications.
目前的研究需要深入了解一种新型共聚物(AA-co-PEOMA)吸附剂的制造,使用不同比例的丙烯酸(AA)和聚(环氧乙烷)单甲基丙烯酸酯(PEOMA)来缓解废水吸附剂中潜在的结晶紫(CV)染料。共聚物吸附剂由大量的-COOH基团和柔性PEOMA链组成,与传统材料相比,具有增强的吸附能力。采用自由基聚合法制备了共聚物吸附剂,并用傅里叶变换红外光谱(FTIR)和x射线衍射(XRD)对其进行了表征。通过调整pH、初始染料浓度、接触时间和温度等操作参数,考察了CV染料的最佳吸附条件。实验结果进行了额外的分析,以符合多个已建立的动力学和平衡等温线模型。动力学研究表明,研究数据显示出较好的趋势,符合伪二阶模型。合成的共聚物对CV染料分子的吸附基本符合Langmuir模型,最大吸附量(qmax)估计为24.75 mg/g。热力学分析证实了吸附过程的自发和吸热性质。可重用性研究表明,该吸附剂在多个循环中具有可持续的性能,并且与其他潜在吸附剂的比较证实了AA-co-PEOMA共聚物吸附剂在大规模应用中的适用性。
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引用次数: 0
Performance analysis of Pem Electrolyser for green hydrogen production Pem电解槽绿色制氢性能分析
IF 5.4 Pub Date : 2025-12-01 Epub Date: 2025-11-13 DOI: 10.1016/j.scca.2025.100162
Srinivas Prasad Sanaka, K. Ramanaiah, Pulipaka Vanni
With the global push toward decarbonization and sustainable energy solutions, the demand for clean hydrogen production using electrolysis has surged in recent years. The objective of this experimental study is to investigate the effect of applied voltage on the performance of Proton Exchange Membrane (PEM) electrolyser at different operating temperatures. The experimental tests are conducted using PEM electrolyzer equipped with a Nafion 115 membrane electrode assembly. The PEM electrolyser begins producing measurable hydrogen and oxygen only above a threshold voltage of 1.6 V. The highest hydrogen production observed was 13.88 ml/min at 2.54 V and 1.7 A. The findings from this study have significant implications for optimizing the performance of PEM electrolysers in clean hydrogen production.
随着全球对脱碳和可持续能源解决方案的推动,近年来对电解清洁制氢的需求激增。本实验研究的目的是探讨不同工作温度下外加电压对质子交换膜(PEM)电解槽性能的影响。实验测试是在配备了Nafion 115膜电极组件的PEM电解槽上进行的。PEM电解槽仅在阈值电压1.6 V以上开始产生可测量的氢和氧。在2.54 V和1.7 A条件下,最高产氢量为13.88 ml/min。本研究结果对优化PEM电解槽在清洁制氢中的性能具有重要意义。
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引用次数: 0
Emerging role of generative AI in renewable energy forecasting and system optimization 生成式人工智能在可再生能源预测和系统优化中的新兴作用
Pub Date : 2025-12-01 Epub Date: 2025-07-13 DOI: 10.1016/j.scca.2025.100099
Erdiwansyah , Rizalman Mamat , Syafrizal , Mohd Fairusham Ghazali , Firdaus Basrawi , S.M. Rosdi
The rapid integration of renewable energy sources (RES) into modern power systems introduces significant challenges in forecasting accuracy, grid stability, and energy optimization. Generative Artificial Intelligence (Gen-AI), including architectures such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformers, offers new capabilities to overcome data sparsity, nonlinearity, and uncertainty in renewable-dominant systems. This study aims to comprehensively review the emerging role of Gen-AI in improving solar and wind forecasting, load prediction, energy storage management, and smart grid optimization. Using a comparative and synthesis-based methodology, this review analyses findings from high-impact publications between 2023 and 2025. Results indicate that GAN-based models reduce root mean square error (RMSE) by 15–20 % in solar irradiance forecasting and significantly enhance spatial-temporal wind simulations. Time-series GAN-LSTM hybrids enhance demand forecasting accuracy under nonlinear conditions, while VAE-driven dispatch models achieve gains of 9–12 % in energy efficiency and curtailment reduction. The novelty of this review lies in mapping Gen-AI's integration with digital twins, federated learning, and AI–IoT frameworks, which enables the real-time, privacy-preserving optimisation of complex energy systems. The principal conclusion is that Gen-AI serves as a transformative tool to enhance system resilience, forecasting precision, and operational flexibility in renewable energy networks. For sustainable implementation, future developments must address challenges in model explainability, data privacy, and scalability. These findings support the journal’s scope by highlighting AI-driven advancements for the reliable, efficient, and sustainable transformation of energy systems.
可再生能源(RES)与现代电力系统的快速整合在预测准确性、电网稳定性和能源优化方面带来了重大挑战。生成式人工智能(Gen-AI),包括生成式对抗网络(gan)、变分自编码器(VAEs)和变压器等架构,为克服可再生主导系统中的数据稀疏性、非线性和不确定性提供了新的能力。本研究旨在全面回顾Gen-AI在改善太阳能和风能预测、负荷预测、储能管理和智能电网优化方面的新兴作用。本综述采用比较和综合的方法,分析了2023年至2025年间高影响力出版物的研究结果。结果表明,基于gan模型的太阳辐照度预测均方根误差(RMSE)降低了15 - 20%,并显著提高了时空风模拟效果。时间序列GAN-LSTM混合模型提高了非线性条件下的需求预测精度,而由电机驱动的调度模型在能源效率和削减弃风方面的收益为9 - 12%。本综述的新颖之处在于将Gen-AI与数字双胞胎、联邦学习和AI-IoT框架的集成进行映射,从而实现复杂能源系统的实时、隐私保护优化。主要结论是,Gen-AI可以作为一种变革性工具,增强可再生能源网络的系统弹性、预测精度和运营灵活性。为了实现可持续发展,未来的发展必须解决模型可解释性、数据隐私和可扩展性方面的挑战。这些发现通过强调人工智能驱动的能源系统可靠、高效和可持续转型的进步,支持了该杂志的范围。
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引用次数: 0
Valorization of recycled waste in the development of sustainable composite materials for thermal insulation in buildings 再生废弃物在可持续建筑保温复合材料开发中的价值
IF 5.4 Pub Date : 2025-12-01 Epub Date: 2025-10-31 DOI: 10.1016/j.scca.2025.100153
Youssef Khrissi, Amine Tilioua
Optimizing the energy performance of buildings while ensuring satisfactory thermal comfort represents a crucial challenge for both society and future regulatory guidelines. The aim is to design interior spaces that are pleasant to live in while minimizing energy consumption and reducing negative environmental impacts. In this respect, enhancing the building’s thermal barrier envelope is a key strategy. The present research proposes a novel approach to improving energy savings by examining an innovative, eco-friendly insulating material derived from recycled composites. The main objective of this work is to investigate the thermal, mechanical, and water absorption characteristics of these composites to evaluate their potential as building insulation materials. The composites are composed of a stable mixture of 80 % cardboard and 20 % date palm fibers, in which polystyrene is incorporated at 2 %, 4 %, and 6 %. Thermal behavior was investigated through the hot disk method, which provides accurate data. A dedicated experimental setup was specifically designed to replicate moist environments and perform tests of capillary water uptake to assess moisture responsiveness. Compression tests on cylindrical specimens with radially oriented layers demonstrated satisfactory structural strength. The bulk mass density of these samples varies from 212.54 to 263.75 kg m-1³, while their thermal conductivity varies between 0.085 and 0.104 W/m·K. This demonstrates insulation performance comparable to that of standard products. The highest capillary water uptake values lie between 217 % to 297 %, reflecting variability in moisture resistance. Compressive strengths ranged from 0.8 MPa to 3.3 MPa, indicating their potential application in structural elements. These results demonstrate that composites made from cardboard waste, date palm fibers, and used polystyrene can provide good thermal and mechanical performance, representing an economically and ecologically viable alternative to improving energy performance within construction applications.
在确保令人满意的热舒适的同时优化建筑物的能源性能,这对社会和未来的监管准则都是一个重大挑战。其目的是设计舒适的室内空间,同时最大限度地减少能源消耗,减少对环境的负面影响。在这方面,加强建筑的热障外壳是一个关键策略。目前的研究提出了一种新的方法,通过检查一种创新的,生态友好的绝缘材料衍生自回收复合材料,以提高节能。这项工作的主要目的是研究这些复合材料的热、机械和吸水特性,以评估它们作为建筑保温材料的潜力。该复合材料由80%纸板和20%椰枣纤维的稳定混合物组成,其中聚苯乙烯的掺入率为2%,4%和6%。采用热盘法对其热行为进行了研究,得到了准确的数据。专门设计了一个实验装置来模拟潮湿环境,并进行毛细管吸水测试,以评估水分响应性。对具有径向取向层的圆柱形试件进行了压缩试验,结果表明结构强度令人满意。样品的体积密度在212.54 ~ 263.75 kg m-1³之间,导热系数在0.085 ~ 0.104 W/m·K之间。这表明绝缘性能可与标准产品相媲美。毛管吸水性最高值在217% ~ 297%之间,反映了其抗湿性的变异性。抗压强度从0.8 MPa到3.3 MPa,表明其在结构元件中的潜在应用。这些结果表明,由纸板废料、椰枣纤维和用过的聚苯乙烯制成的复合材料可以提供良好的热学和机械性能,代表了在建筑应用中提高能源性能的经济和生态可行的替代方案。
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引用次数: 0
Microbe-driven valorisation of bio-waste for biofertilizer production: A comprehensive review 微生物驱动的生物肥料生产生物废物的增值:综合综述
IF 5.4 Pub Date : 2025-12-01 Epub Date: 2025-11-09 DOI: 10.1016/j.scca.2025.100158
Neeraj Kumar , Deepak Kumar , Ashutosh Mishra
The rapid growth of the global population has significantly increased the production of bio-wastes, which are rich in essential plant nutrients such as phosphorus (P), nitrogen (N), and potassium (K). These nutrients can help mitigate the negative effects associated with synthetic fertilizers in agriculture. By repurposing bio-waste from sources like agricultural residues, animal manure, and sewage sludge, it is possible to recover valuable nutrients and create products that support a circular economy. This process of waste valorisation transforms waste into valuable products that improve soil health and promote plant growth. For example, vermicomposting of municipal solid waste using microbial consortia such as Nitrosomonas, Azotobacter, and Nitrobacter has been shown to significantly increase nutrient recovery, with reported improvements in nutrients to as high as 2.1–2.6% N, 1.5–1.7% P, and 1.4–1.6% K in vermicompost—considerably higher than those found in traditional animal manures. Using bio-based fertilizers derived from these wastes can boost agricultural productivity while reducing the environmental impact of non-organic fertilizers. Further investigation is required to evaluate the practical applications of bio-based fertilizers in the field. This need is underscored by insights from previous studies referenced in this review, which aim to uphold agricultural sustainability and productivity. This review highlights the potential of cutting-edge technology and microbial activity in developing bio-based fertilizers, advancing waste minimization, and optimizing resource use within a circular economy. Microbial and biological systems offer sustainable and efficient strategies for converting various bio-wastes into bio-based fertilizers, thereby supporting a circular economy in agriculture.
全球人口的快速增长大大增加了生物废物的产生,这些废物富含必需的植物营养物质,如磷(P)、氮(N)和钾(K)。这些营养物质有助于减轻与农业合成肥料有关的负面影响。通过重新利用农业残留物、动物粪便和污水污泥等来源的生物废物,有可能回收有价值的营养物质,并创造支持循环经济的产品。这一废物增值过程将废物转化为有价值的产品,改善土壤健康并促进植物生长。例如,利用亚硝化单胞菌、固氮杆菌和硝化杆菌等微生物群落对城市固体废物进行蚯蚓堆肥,已被证明可显著提高营养物质的回收率,据报道,蚯蚓堆肥中营养物质的氮含量高达2.1-2.6%,磷含量为1.5-1.7%,钾含量为1.4-1.6%,远远高于传统动物粪便。使用从这些废物中提取的生物基肥料可以提高农业生产力,同时减少非有机肥料对环境的影响。评价生物基肥料在田间的实际应用还需要进一步的研究。本综述中引用的以往研究的见解强调了这一需求,这些研究旨在维护农业的可持续性和生产力。这篇综述强调了尖端技术和微生物活性在开发生物基肥料、推进废物最小化和优化循环经济中的资源利用方面的潜力。微生物和生物系统为将各种生物废物转化为生物基肥料提供了可持续和有效的战略,从而支持农业循环经济。
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引用次数: 0
Experimental and artificial intelligence-machine learning modeling of ultra-deep diesel desulfurization in oscillatory central bed baffled reactor using protected and unprotected dual active carbonaceous catalyst 有保护和无保护双活性碳催化剂在振荡中央床折流板反应器中超深度柴油脱硫的实验与人工智能-机器学习建模
IF 5.4 Pub Date : 2025-12-01 Epub Date: 2025-08-26 DOI: 10.1016/j.scca.2025.100111
Jasim I. Humadi , Wadood T. Mohammed
This study is focused on developing new oscillatory central bed baffled (OCBB) reactor and protected and unprotected dual active carbonaceous catalyst for ultra-deep diesel desulfurization by removing dibenzothiophene (DBT) compounds. OCBB reactor is considered a modified design of traditional oscillatory baffled reactor (OBR) by replacing central baffles via new central baskets for packing catalyst particles as a fixed bed, thus it is efficiently solved the issues of packing the solid catalyst particles inside OBR by fixing it as bed in novel central baskets for continuous operation and easy regeneration processes. Manganese and magnetic iron oxide are loaded as dual active components over high surface area activated carbon and protected via alumina film for high stability desulfurization. DBT oxidation reactions are examined under mild operational variables: protected and unprotected catalyst, temperatures (30 - 90) °C, LHSV (0.333 – 0.083) min−1, frequency (0.5 - 2) Hz, and amplitude (3 - 12) mm. The experimental data are proved that the optimal DBT conversion is 95.97 % using protected catalyst and 98.1 % for unprotected catalyst under best conditions (T = 90 οC, LHSV = 0.083 min−1, frequency = 2 Hz, and amplitude = 12 mm). Also, artificial intelligence-machine learning modeling utilizing Support Vector Machines (SVM) and Gradient Boosting Models (GBM) techniques are examined for the first time to simulate the experiments of DBT oxidation and predict attractive Al models. Models results are confirmed that Al models are capable of excellent predictions of the Target Variable with MSE of 0.0063 and 0 and R2 of 0.997 and 1 for R2 for SVM and GBM. GBM model is provided more fitting and accuracy with minimum deviations compared to SVM model.
研究了新型振荡式中央床折流板反应器(OCBB)及保护和非保护双活性炭催化剂,用于脱除二苯并噻吩(DBT)超深度柴油脱硫。OCBB反应器是对传统振荡式折流板反应器(OBR)的改进设计,采用新的中心筐代替中心挡板作为固定床,将OBR固定为床,有效地解决了OBR内部固体催化剂颗粒的填充问题,实现了OBR的连续运行和易于再生过程。锰和磁性氧化铁作为双活性组分负载在高表面积活性炭上,并通过氧化铝膜保护,实现高稳定性脱硫。在温和的操作变量:保护和无保护催化剂,温度(30 - 90)°C, LHSV (0.333 - 0.083) min - 1,频率(0.5 - 2)Hz,振幅(3 - 12)mm下测试DBT氧化反应。实验数据证明,在最佳条件下(T = 90 o o C, LHSV = 0.083 min - 1,频率= 2 Hz,振幅= 12 mm),保护催化剂的DBT转化率为95.97%,无保护催化剂的DBT转化率为98.1%。此外,利用支持向量机(SVM)和梯度增强模型(GBM)技术的人工智能-机器学习建模首次进行了研究,以模拟DBT氧化实验并预测有吸引力的人工智能模型。模型结果证实,Al模型对目标变量具有较好的预测能力,SVM和GBM的MSE为0.0063和0,R2为0.997和1。与支持向量机模型相比,GBM模型具有更好的拟合性和最小偏差精度。
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引用次数: 0
Turning okra into action: Sustainable nicotine transdermal plaster gels from plant-based polymers 将秋葵转化为行动:可持续的尼古丁透皮石膏凝胶,由植物基聚合物制成
IF 5.4 Pub Date : 2025-12-01 Epub Date: 2025-10-19 DOI: 10.1016/j.scca.2025.100144
Thipapun Plyduang , Pattwat Maneewattanapinyo , Phakorn Meksawasdichai , Chatchawat Pratin , Chaowalit Monton , Jirapornchai Suksaeree
Natural polymers are gaining momentum as sustainable alternatives to synthetic materials in pharmaceutical formulations. In this study, we developed a nicotine-loaded transdermal plaster gel using plant-based mucilage extracted from Abelmoschus esculentus (okra), blended with carrageenan and polyvinyl alcohol (PVA), and plasticized with glycerin. This eco-conscious formulation aims to reduce reliance on petrochemical-derived polymers while offering practical transdermal drug delivery potential. The okra mucilage yielded 2.28 ± 0.73 % of extractable powder and exhibited favorable physicochemical properties for film formation. When incorporated into the gel, variations in carrageenan and PVA content influenced color, viscosity, pH, and drying time. Films formed from these gels showed different mechanical strengths, with optimal flexibility and tensile performance achieved at a 7 % w/w mucilage level blended with both carrageenan and PVA. Thermal analysis confirmed good miscibility and thermal stability of the polymer blend, with decomposition temperatures exceeding 300 °C. In vitro studies demonstrated that nicotine release followed a first-order kinetic model, governed by formulation viscosity. Permeation through newborn pig skin followed zero-order kinetics, with steady-state flux and permeability coefficients indicating controlled delivery potential. This work demonstrates how okra-derived mucilage, a low-cost, biodegradable, and widely available natural polymer, can be harnessed for climate-conscious pharmaceutical development. The results support its use in sustainable transdermal drug delivery systems, offering a greener path forward in formulation science.
天然聚合物作为药物配方中合成材料的可持续替代品正在获得动力。在这项研究中,我们利用从秋葵(Abelmoschus esculentus,秋葵)中提取的植物粘液,与卡拉胶和聚乙烯醇(PVA)混合,并用甘油塑化,开发了一种尼古丁负载的透皮石膏凝胶。这种具有生态意识的配方旨在减少对石化衍生聚合物的依赖,同时提供实用的透皮给药潜力。秋葵浆液的可提取粉末率为2.28±0.73%,具有良好的成膜理化性质。当加入凝胶时,卡拉胶和聚乙烯醇含量的变化会影响颜色、粘度、pH值和干燥时间。由这些凝胶形成的薄膜表现出不同的机械强度,当卡拉胶和聚乙烯醇混合在7% w/w的黏液水平时,柔韧性和拉伸性能达到最佳。热分析证实聚合物共混物具有良好的混溶性和热稳定性,分解温度超过300℃。体外研究表明,尼古丁释放遵循一级动力学模型,受制剂粘度控制。通过新生猪皮肤的渗透遵循零级动力学,稳态通量和渗透系数表明受控的输送潜力。这项工作表明,秋葵衍生的粘液是一种低成本、可生物降解和广泛可用的天然聚合物,可以用于气候敏感的药物开发。研究结果支持其在可持续透皮给药系统中的应用,为配方科学提供了一条更绿色的道路。
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Sustainable Chemistry for Climate Action
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