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Recovery of fuel liquid from plastic waste using Ni/ZSM-5 catalyst by distillation bubble cap plate column 用Ni/ZSM-5催化剂蒸馏泡盖板塔回收废塑料燃料液
Q1 Social Sciences Pub Date : 2026-04-01 Epub Date: 2026-01-01 DOI: 10.1016/j.sajce.2025.12.019
Ramli Thahir , Agung Prabowo , Pintaka Kusumaningtyas , Muh. Irwan , Alwathan , Arief Adhiksana , Hanny Frans Sangian
The valorization of polypropylene (PP) plastic waste into high-value liquid fuels via catalytic pyrolysis represents a promising pathway toward sustainable waste-to-energy conversion. This study investigates the optimization of liquid fuel yield using a bifunctional Ni/ZSM-5 catalyst synthesized through impregnation. A total of 500 g of waste PP and 50 g of Ni/ZSM-5 (PP:Ni/ZSM-5 = 10:1) were processed in a stainless-steel fixed-bed semi-batch reactor over a temperature range of 420–580 °C. The evolved vapors were fractionated through a four-tray distillation bubble-cap column and condensed at ±5 °C. The Ni/ZSM-5 catalyst significantly enhanced cracking activity, enabling high liquid fuel recovery at lower operating temperatures. The best-performing temperature identified in this study was 480 °C, which yielded 77 wt.% liquid oil and 17 wt.% fuel gas whereas further heating beyond this point favored secondary cracking, converting liquid fractions into gaseous products. Fractional distillation revealed kerosene-range hydrocarbons in trays I–II and gasoline-range fractions in trays III–IV, indicating selective hydrocarbon distribution. These results demonstrate that Ni/ZSM-5 offers dual functionality for efficient cracking and aromatization, thereby improving product selectivity and energy recovery. The findings underscore the potential of catalytic pyrolysis as a scalable strategy for transforming plastic waste into alternative liquid transportation fuels while reducing environmental burden.
通过催化热解将聚丙烯(PP)塑料垃圾转化为高价值的液体燃料,是实现可持续废物能源转化的一条有希望的途径。采用浸渍法制备双功能Ni/ZSM-5催化剂,对液体燃料产率进行了优化研究。在不锈钢固定床半批式反应器中,在420-580℃的温度范围内处理500 g废PP和50 g Ni/ZSM-5 (PP:Ni/ZSM-5 = 10:1)。产生的蒸汽通过四盘蒸馏泡帽塔进行分馏,并在±5℃下冷凝。Ni/ZSM-5催化剂显著提高了裂解活性,在较低的工作温度下实现了较高的液体燃料回收率。本研究确定的最佳温度为480°C,产生77 wt.%的液态油和17 wt.%的燃料气,而进一步加热则有利于二次裂解,将液态馏分转化为气态产品。分馏发现1 - 2塔塔中有煤油段烃,3 - 4塔塔中有汽油段烃,说明烃类有选择性分布。这些结果表明,Ni/ZSM-5具有高效裂解和芳构化的双重功能,从而提高了产物的选择性和能量回收率。这些发现强调了催化热解作为一种可扩展的战略,将塑料废物转化为替代液体运输燃料,同时减少环境负担的潜力。
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引用次数: 0
Zeolite pellet fabrication for biogas purification: Characterization and CO2 adsorption performance 用于沼气净化的沸石颗粒制备:表征和CO2吸附性能
Q1 Social Sciences Pub Date : 2026-04-01 Epub Date: 2026-01-08 DOI: 10.1016/j.sajce.2026.01.004
Bambang Trisakti , Rivaldi Sidabutar , Irvan Irvan , Farida Hanum , Mhd. Rivaldi Syahputra , Hani Suhastifa Rambe , Noersukma Dwi Gusty , Muhammad Syaifan , Michael Michael , Thiodorus Marvin Tjandra , Sheylin Wimora Lumban Tobing , Peer Mohamed Abdul
The escalating urgency for renewable energy solutions and sustainable waste management strategies has intensified research into biogas purification technologies, particularly addressing the critical need for efficient CO2 removal to enhance methane concentration. This study optimized zeolite pellet fabrication and evaluated their CO2 adsorption performance for biogas purification. Zeolite samples were systematically processed through pelletization and calcination procedures, with experimental parameters encompassing particle sizes (50-140 mesh), calcination temperatures (200-400C), and durations (2-4 hours). The pelletization process achieved optimal yield performance of 75.97±0.70% under conditions of 50 mesh particle size, 200C calcination temperature, and 2-hour duration, corresponding to maximum pellet density of 1.94±0.03 g/cm3. Water adsorption capacity reached its peak at 3.35±0.11% utilizing 140 mesh zeolite calcined at 400C for 4 hours. Most significantly, CO2 removal efficiency achieved 92.5±0.75% under optimal conditions of 140 mesh particle size, 400C calcination temperature, and 4-hour calcination duration. Comprehensive characterization revealed crystallite size reduction from 53.31 nm to 37.41 nm following activation, while scanning electron microscopy confirmed heterogeneous pore structure with grain-like surface morphology. Energy dispersive X-ray spectroscopy analysis indicated substantial oxygen content increase from 31.31% to 58.30% post-CO2 adsorption, accompanied by carbon content decrease from 30.59% to 5.54%. N2 adsorption quantified surface area, pore volume, and pore diameter as 283.01 m2/g, 0.292 cc/g, and 2.569 Å, respectively. These findings establish zeolite pellets as highly effective CO2 adsorbents with substantial potential for industrial-scale biogas purification implementation.
对可再生能源解决方案和可持续废物管理战略的日益迫切需要加强了对沼气净化技术的研究,特别是解决了有效去除二氧化碳以提高甲烷浓度的迫切需要。本研究优化了沸石颗粒的制备工艺,并对其吸附CO2净化沼气的性能进行了评价。沸石样品通过制球和煅烧程序进行系统处理,实验参数包括粒度(50-140目),煅烧温度(200-400ºC)和持续时间(2-4小时)。在粒径为50目、焙烧温度为200℃、焙烧时间为2 h的条件下,制球工艺的最佳产率为75.97±0.70%,最大制球密度为1.94±0.03 g/cm3。140目沸石在400℃下煅烧4小时,吸附量达到3.35±0.11%。最显著的是,在粒径为140目、煅烧温度为400℃、煅烧时间为4 h的最佳条件下,CO2去除率达到92.5±0.75%。综合表征表明,活化后的晶体尺寸从53.31 nm减小到37.41 nm,扫描电镜证实了非均质孔隙结构,表面形貌呈颗粒状。能量色散x射线能谱分析表明,co2吸附后氧含量从31.31%上升到58.30%,碳含量从30.59%下降到5.54%。N2吸附测定的比表面积、孔体积和孔径分别为283.01 m2/g、0.292 cc/g和2.569 Å。这些研究结果表明,沸石颗粒是一种高效的二氧化碳吸附剂,在工业规模的沼气净化实施中具有巨大的潜力。
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引用次数: 0
Electrochemical detection of para-nitrophenol employing a glassy carbon electrode modified with graphene–zinc oxide nanocomposite for enhanced sensitivity 石墨烯-氧化锌纳米复合材料修饰的玻碳电极对对硝基苯酚的电化学检测提高了灵敏度
Q1 Social Sciences Pub Date : 2026-04-01 Epub Date: 2026-01-07 DOI: 10.1016/j.sajce.2026.01.003
Riyaz Ahmad Dar , Gowhar A. Naikoo , Ashwini Kumar Srivastava , Israr Ul Hassan , Shashi P. Karna , Lily Giri , Ahamad M.H. Shaikh , Mashallah Rezakazemi , Waqar Ahmed
The graphene-zinc oxide nanocomposite (GN(ZnO)-NC) was investigated as an electrochemical sensing platform for the highly sensitive detection of para-nitrophenol (p-NP). Zinc oxide nanoparticles (ZnONPs) were prepared through a modified wet-chemical synthesis, employing zinc nitrate and potassium hydroxide as precursor materials. Starch was incorporated during the synthesis process to function as a capping and stabilizing agent, promoting uniform nanoparticle dispersion and preventing agglomeration. Graphene-oxide was reduced to graphene in the presence of ZnONPs using glucose as a reductant in a simple and environmentally friendly method to create GN-ZnO nanocomposite. A comprehensive characterization of the synthesized nanocomposite (NC) was conducted to evaluate its crystal structure, degree of crystallinity, surface morphology, elemental composition, and phase properties. This was achieved using various techniques, including scanning electron microscopy (SEM), high-resolution transmission electron microscopy (HR-TEM), energy-dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), and Raman spectroscopy. The electrochemical performance of the GN(ZnO)-NC layer placed on the glassy carbon electrode (GCE) surface was first investigated using the conventional 1 mM K3[Fe(CN)6] model complex. The performance of the GN(ZnO)-NC modified glassy carbon electrode (GCE) was evaluated in relation to varying concentrations of p-nitrophenol (p-NP). Employing square wave adsorptive stripping voltammetry, a significantly increased current response was recorded in a 0.1 M phosphate buffer solution at pH 6.8. Under optimized conditions, the method exhibited a linear response toward para-nitrophenol (p-NP) over the concentration range of 0.09 × 10⁻⁶ to 21.80 × 10⁻⁶ M, with a notably low detection limit of 8.8 × 10⁻⁹ M. These results were obtained using a deposition potential of –1.0 V and a deposition time of 300 s. With no interference from other potential interfering compounds like ortho-NP, meta-NP, or 2, 4-di-NP, this developed electrochemical sensor exhibited exceptional selectivity toward para-nitrophenol (p-NP). Owing to its high recovery rates, the method proved effective for the sensitive quantification of p-NP in real environmental samples, including ground and river water samples.
研究了石墨烯-氧化锌纳米复合材料(GN(ZnO)-NC)作为高灵敏度检测对硝基苯酚(p-NP)的电化学传感平台。以硝酸锌和氢氧化钾为前驱体,采用改性湿法合成法制备了氧化锌纳米颗粒(ZnONPs)。在合成过程中加入淀粉作为封盖和稳定剂,促进纳米颗粒均匀分散,防止团聚。利用葡萄糖作为还原剂,在ZnONPs存在下将氧化石墨烯还原为石墨烯,以一种简单环保的方法制备了GN-ZnO纳米复合材料。对合成的纳米复合材料(NC)进行了晶体结构、结晶度、表面形貌、元素组成和相性质的综合表征。这是通过多种技术实现的,包括扫描电子显微镜(SEM)、高分辨率透射电子显微镜(HR-TEM)、能量色散x射线光谱(EDX)、x射线衍射(XRD)和拉曼光谱。采用传统的1 mM K3[Fe(CN)6]模型配合物,研究了GN(ZnO)-NC层在玻璃碳电极(GCE)表面的电化学性能。研究了GN(ZnO)-NC修饰的玻碳电极(GCE)在不同浓度对硝基苯酚(p-NP)下的性能。采用方波吸附溶出伏安法,在pH值为6.8的0.1 M磷酸盐缓冲溶液中记录了显著增加的电流响应。在优化的条件下,该方法在0.09 × 10⁻⁶~ 21.80 × 10⁻⁶M的浓度范围内对对硝基苯酚(p-NP)有良好的线性反应,检测限为8.8 × 10⁻⁹M,且检测电位为-1.0 V,沉积时间为300 s。由于不受邻np、元np或2,4 -二np等其他潜在干扰化合物的干扰,该电化学传感器对对硝基苯酚(p-NP)表现出优异的选择性。由于回收率高,该方法对实际环境样品(包括地表水和河流水样)中p-NP的敏感定量是有效的。
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引用次数: 0
Experimental design and optimization of process parameters for nanocellulose extraction from pineapple leaves using central composite design 采用中心复合设计对菠萝叶纳米纤维素提取工艺参数进行了实验设计与优化
Q1 Social Sciences Pub Date : 2026-04-01 Epub Date: 2026-01-13 DOI: 10.1016/j.sajce.2026.01.007
Ebise Getacho Bacha , Abeba Negawo Tadesse , Martha Zemedu Assefa
The yield of nanocellulose is affected by different parameters, including acid concentration, reaction time, temperature, and the acid-to-fiber ratio. This work aims to extract nanocellulose from pineapple leaves and optimize the process parameters using a central composite design. The chemical composition of pineapple leaf waste was determined using standard methods, and the obtained results were 66.36±0.31 %, 19.84±0.13 %, 7.8 ± 0.14 %, and 13.23±0.4 % for cellulose, hemicellulose, lignin, and extractives, respectively. The extraction was done by alkali treatment, delignification, and hydrochloric acid hydrolysis. The time, temperature, acid concentration, and the ratio of acid to feedstock were studied by response surface methodology. The optimum yield was 76.2 % at 42.5 min, 60.5 ℃, 4 M, and 1 to 20 g/ml for reaction time, temperature, acid concentration, and feedstock to acid solution ratio, respectively. The functional group, particle size distribution, crystallinity, and thermal stability were determined using Fourier-Transform Infrared Spectroscopy (FTIR), Dynamic Light Scattering (DLS), X-ray Diffraction (XRD), and Thermogravimetry Analysis (TGA), respectively. The average particle size was found to be 23.87 nm with a polydispersity index of 0.7. The FTIR results confirm the significant reduction or complete removal of lignin, hemicellulose, and other amorphous parts found in pineapple leaf. The Crystallinity Index (CI) of pineapple leaf is 40.6 %, cellulose is 60.7 %, and nanocellulose is 80.4 %, respectively. The thermogravimetry analysis shows that the thermal stability of the nanocellulose is better than that of the pineapple leaf.
酸浓度、反应时间、温度、酸纤维比等参数对纳米纤维素的收率有影响。本研究旨在从菠萝叶中提取纳米纤维素,并采用中心复合设计优化工艺参数。采用标准方法测定菠萝叶废弃物的化学成分,纤维素、半纤维素、木质素和提取物的含量分别为66.36±0.31%、19.84±0.13%、7.8±0.14%和13.23±0.4%。通过碱处理、脱木质素和盐酸水解进行提取。采用响应面法对时间、温度、酸浓度、酸料比等因素进行了研究。反应时间、温度、酸浓度、料液比分别为42.5 min、60.5℃、4 M、1 ~ 20 g/ml,产率为76.2%。采用傅里叶变换红外光谱(FTIR)、动态光散射(DLS)、x射线衍射(XRD)和热重分析(TGA)分别测定了其官能团、粒度分布、结晶度和热稳定性。平均粒径为23.87 nm,多分散性指数为0.7。FTIR结果证实了菠萝叶中木质素、半纤维素和其他无定形部分的显著减少或完全去除。菠萝叶结晶度指数(CI)为40.6%,纤维素为60.7%,纳米纤维素为80.4%。热重分析表明,纳米纤维素的热稳定性优于菠萝叶。
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引用次数: 0
A modified time increment Monte Carlo based optimization framework for PSD dynamics in poly(methyl) methacrylate suspension polymerization 基于改进时间增量蒙特卡罗的聚甲基丙烯酸甲酯悬浮聚合PSD动力学优化框架
Q1 Social Sciences Pub Date : 2026-04-01 Epub Date: 2026-02-04 DOI: 10.1016/j.sajce.2026.100843
Naeem Bayaksud, Badril Azhar, Hurina Urfan Arissunarso, Sumarno
Stochastic evolution of the particle size distribution (PSD) in poly(methyl methacrylate) suspension polymerization is influenced by the transient equilibrium between turbulent breakage and coalescence. A high-fidelity Constant Number Event Driven Monte Carlo framework resolves these dynamics by explicitly coupling conversion-dependent thermophysical properties specifically viscosity amplification and dynamic interfacial tension to hydrodynamics inspired kernels. Bayesian optimization via a Tree structured Parzen Estimator minimizes a composite loss function of Mean Squared Error and Earth Mover’s Distance ensuring high fidelity topological fits across the 10–150 µm domain. Experimental data at 700–900 rpm and 0.1–0.3 wt% PVA reveal a Sauter mean diameter (d32) range of 30.9–67.0 µm with peak refinement (30.9 ± 15.1 µm) achieved at 900 rpm and 0.2 wt% PVA. The framework reproduces mass weighted PSDs with Root Mean Square Errors (RMSE) consistently below 0.073 and a minimum of 0.036. Kinetic parameters optimized at a single intermediate speed (800 rpm) successfully predict PSD evolution at uncalibrated hydrodynamic boundaries (700 and 900 rpm) with less than 4% RMSE deviation. Sensitivity analysis of agitation speed perturbations (±5% to ±20%) demonstrates that while RMSE increases from a baseline of 0.052 to a plateau of 0.078, the morphological shape of the PSD remains invariant, confirming the structural robustness of the mechanistic framework. These results provide a statistically validated platform for the rational design and hydrodynamic scale-up of poly(methyl methacrylate) suspension polymerization.
聚甲基丙烯酸甲酯悬浮聚合过程中粒径分布(PSD)的随机演化受湍流破碎与聚并之间的瞬态平衡的影响。高保真常数事件驱动蒙特卡罗框架通过显式地将依赖于转换的热物理性质(特别是粘度放大和动态界面张力)耦合到流体力学启发的核来解决这些动力学问题。通过树形结构的Parzen估计器进行贝叶斯优化,最大限度地减少均方误差和土方距离的复合损失函数,确保在10-150µm范围内高保真的拓扑拟合。在700-900 rpm和0.1-0.3 wt% PVA条件下的实验数据显示,Sauter平均直径(d32)范围为30.9 - 67.0µm,在900 rpm和0.2 wt% PVA条件下达到峰值细化(30.9±15.1µm)。该框架再现了质量加权psd,其均方根误差(RMSE)始终低于0.073,最小为0.036。在单个中速(800 rpm)下优化的动力学参数成功预测了未校准流体动力边界(700和900 rpm)下PSD的演变,RMSE偏差小于4%。对搅拌速度扰动(±5%至±20%)的敏感性分析表明,当RMSE从基线0.052增加到平台0.078时,PSD的形态保持不变,证实了机制框架的结构鲁棒性。这些结果为聚甲基丙烯酸甲酯悬浮聚合的合理设计和水动力放大提供了统计验证平台。
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引用次数: 0
Polynomial regression analysis on electromagnetohydrodynamic hybrid nanofluid flow over a rotating disk: Applications in next-generation thermal systems 旋转圆盘上电磁流体动力混合纳米流体流动的多项式回归分析:在下一代热系统中的应用
Q1 Social Sciences Pub Date : 2026-01-01 Epub Date: 2025-12-20 DOI: 10.1016/j.sajce.2025.12.010
Gunisetty Ramasekhar , P.D. Selvi , Hijaz Ahmad , Waleed Mohammed Abdelfattah
Thermal systems need effective cooling and heating processes, therefore thermal transfer innovation is critical in modern times, playing an important role in the manufacturing, aerospace, and electronic equipment sectors, in addition to automobiles and other modes of transportation. This study investigates the heat transfer properties of an electromagnetohydrodynamic mixed nanofluid across a porous spinning disk. The primary goal is to develop and validate an efficient engine oil/Cu-CuO hybrid framework that integrates traditional numerical approaches with polynomial regression analysis to accurately predict the flow and thermal features of complex nanofluid systems. The conversion of PDEs into ODEs is achieved by utilizing similarity variables. Thereafter, for graphical purposes, the study employed the bvp4c numerical method. The resultant structure is solved with the bvp4c scheme, and polynomial regression analysis is created to train the solution data for accurate estimation across different parameter (Q, Ec, Rd) settings. The suggested polynomial regression analysis has regression coefficients are 0.98, 0.87, 0.97, indicating high predicted accuracy and effectiveness. The influence of different parameters participating in the mathematical modeling is shown in various graphs and tables. In the result section the investigation noticed the velocity outlines increased, and on the other hand, there was a decreasing tendency in the energy outline for enlarging electric field parameter values. The heat generation and eckert number parameter values are increased, resulting in an improved energy profile. The results of this simulation have the potential to contribute significantly to more advanced study and research in the fields of bioengineering and bio-nanofluid dynamics.
热系统需要有效的冷却和加热过程,因此热传递创新在现代至关重要,除了汽车和其他运输方式外,在制造业,航空航天和电子设备领域也发挥着重要作用。本文研究了电磁流体混合纳米流体在多孔旋转盘上的传热特性。主要目标是开发和验证一种高效的发动机油/Cu-CuO混合框架,该框架将传统的数值方法与多项式回归分析相结合,以准确预测复杂纳米流体系统的流动和热特征。利用相似性变量实现了偏微分方程到偏微分方程的转换。此后,为了图解的目的,本研究采用了bvp4c数值方法。用bvp4c方案求解得到的结构,并创建多项式回归分析来训练解数据,以便在不同参数(Q, Ec, Rd)设置下进行准确估计。建议的多项式回归分析的回归系数分别为0.98、0.87、0.97,表明预测精度和有效性较高。参与数学建模的不同参数的影响以各种图形和表格的形式显示。结果段速度轮廓增大,电场参数值增大时能量轮廓减小。热量产生和埃克特数参数值增加,从而改善了能量剖面。该模拟的结果有可能为生物工程和生物纳米流体动力学领域的更高级研究做出重大贡献。
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引用次数: 0
Manipulating calcination temperature on crystal structure and optical properties tuning of CuO nanostructures 控制煅烧温度对CuO纳米结构晶体结构和光学性质的影响
Q1 Social Sciences Pub Date : 2026-01-01 Epub Date: 2026-01-02 DOI: 10.1016/j.sajce.2026.01.002
Arrak Klinbumrung , Reungruthai Sirirak , Samor Boonphan , Atit Wannawek , Yanee Keereeta
The research investigated the influence of calcination temperature on the properties of CuO nanostructures synthesized through a chemical precipitation method. Calcination at different temperatures (200, 400, and 600°C) significantly affected the crystal structure, morphology, and optical characteristics of the CuO nanostructures. Various characterization techniques were employed, including thermogravimetric analysis (TG), X–ray diffractometers (XRD), Fourier transform infrared spectrometers (FT–IR), scanning electron microscopy (SEM), and transmission electron microscopy (TEM). TG analysis revealed thermal behavior and phase transitions, while XRD results confirmed a monoclinic structure of CuO at 200°C with the calculation of the texture coefficient, crystallite size, lattice constants, strain, and other physical properties. SEM images showed a transition from nanorods to plate structures with increasing calcination temperature. TEM images demonstrated the highly crystalline characteristics of CuO samples. The BET analysis depicted surface area reduction, and CuO nanostructures exhibited energy band gaps ranging from 2.23 to 2.78 eV. Calculating optical terms as a function of photon energy also examined optical behaviors. Photoluminescence spectra revealed oxygen and copper vacancy defects, which sublevels affected energy bandgap change. The 400CuO sample exhibited the strongest PL emission signal, indicating the highest crystallinity and the lowest degree of defects. The findings underscored the significant impact of calcination temperature on the morphology and optical properties of CuO nanostructures, providing insights into their structural characteristics and emerging defects. The study supports opto-electronic applications and contributes to the global goal of pollution control and clean water.
研究了煅烧温度对化学沉淀法合成的氧化铜纳米结构性能的影响。不同温度(200℃、400℃和600℃)的煅烧对CuO纳米结构的晶体结构、形貌和光学特性有显著影响。采用了各种表征技术,包括热重分析(TG)、x射线衍射(XRD)、傅里叶变换红外光谱仪(FT-IR)、扫描电子显微镜(SEM)和透射电子显微镜(TEM)。TG分析揭示了CuO的热行为和相变,XRD结果通过计算织构系数、晶粒尺寸、晶格常数、应变等物理性质,证实了CuO在200℃时为单斜晶结构。SEM图像显示,随着煅烧温度的升高,纳米棒结构向板状结构转变。TEM图像显示CuO样品具有高度结晶性。BET分析显示CuO纳米结构的表面积减小,其能带隙在2.23 ~ 2.78 eV之间。计算光学项作为光子能量的函数也检查了光学行为。光致发光光谱显示出氧和铜空位缺陷,这些空位缺陷亚能级影响能隙的变化。400CuO样品的PL发射信号最强,表明结晶度最高,缺陷程度最低。这些发现强调了煅烧温度对CuO纳米结构的形貌和光学性质的重要影响,为其结构特征和新出现的缺陷提供了见解。该研究支持光电应用,有助于实现污染控制和清洁水的全球目标。
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引用次数: 0
Physicochemical properties of banana leaves at different growth stages: Effects of bleaching and natural dyeing with lac, butterfly pea, and turmeric 香蕉叶在不同生长阶段的理化性质:紫胶、蝶豆和姜黄对漂白和天然染色的影响
Q1 Social Sciences Pub Date : 2026-01-01 Epub Date: 2025-11-09 DOI: 10.1016/j.sajce.2025.11.004
Sopida Wisansakkul , Orawan Oupathumpanont
This research aimed to study the impact of bleaching and natural dyeing on the physicochemical properties of banana leaves at various stages of growth. Banana leaves were bleached and dyed using three natural dyes: lac, butterfly pea, and turmeric. The bleaching process reduced the moisture content from 66.05 % to 11.98 %–15.50 % and decreased the thickness and opacity of the leaves, while glossiness was not significantly affected. EDS analysis identified carbon, oxygen, silicon, phosphorus, and potassium as the five main elements present after bleaching. The color values of the leaves changed noticeably; the a* value shifted toward red, and the b* value toward yellow. Six-month-old banana leaves were found to be most suitable for dyeing due to their structure and dye absorption properties. When dyed, lac produced a dark red tone (L* = 61.14, a* = 3.95, b* = -2.90), and butterfly pea yielded a blue-green shade (L* = 62.40, a* = -1.00, b* = -4.60), and turmeric resulted in an orange-yellow hue (L* = 68.41, a* = 8.79, b* = 7.19). These findings suggest the potential of using naturally dyed banana leaves as sustainable, biodegradable materials for creative product design, particularly in eco-friendly fashion and lifestyle items such as handbags and backpacks.
本研究旨在研究漂白和自然染色对香蕉叶不同生长阶段理化性质的影响。香蕉叶用三种天然染料:紫胶、蝶豆和姜黄进行漂白和染色。漂白处理使叶片含水量从66.05%降低到11.98% ~ 15.50%,叶片厚度和不透明度降低,光泽度无显著影响。能谱分析确定了碳、氧、硅、磷和钾是漂白后存在的五种主要元素。叶片的颜色值变化明显;a*值向红色移动,b*值向黄色移动。六个月大的香蕉叶因其结构和染料吸收特性而最适合染色。当染色时,紫胶产生深红色色调(L* = 61.14, a* = 3.95, b* = -2.90),蝶豆产生蓝绿色色调(L* = 62.40, a* = -1.00, b* = -4.60),姜黄产生橙黄色色调(L* = 68.41, a* = 8.79, b* = 7.19)。这些发现表明,将天然染色的香蕉叶作为可持续的、可生物降解的材料用于创意产品设计,特别是在手提包和背包等环保时尚和生活方式用品方面的潜力。
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引用次数: 0
Toxic metal adsorption from gold tailings wastewater using biowaste biochars: A circular economy approach 利用生物炭吸附金尾矿废水中的有毒金属:一种循环经济方法
Q1 Social Sciences Pub Date : 2026-01-01 Epub Date: 2025-10-25 DOI: 10.1016/j.sajce.2025.10.006
Abudu Ballu Duwiejuah
Sustainable development of adsorbents from biowaste and their use for the treatment of wastewater is a circular economy approach. The study assessed the adsorption efficiency of biowaste biochars for heavy metal ions from gold tailings wastewater. Fourier transform infrared spectroscopy (FTIR) was employed to identify the functional groups and bond vibrations in the biowaste biochar. A total of 100 mL of the gold tailings wastewater was measured into a conical flask, and biowaste biochar dosage of 1.0, 2.0 and 3.0 g each was weighed and added, and then kept in a water bath at 30 °C and agitated at contact times of 20, 35 and 50 min. The corn cob biochar removes Cd (99.10 to 99.40%), Hg (90.50 to 93.80%), and Cr (15.60 to 75.60%) and Ni (21.30 to 84.50%), peanut shell biochar removes Cd (99.10 to 99.40%), Hg (90.60 to 93.80%), and Cr (19.10 to 77.80%) and Ni (35.50 to 85.30%) whilst sheanut shell biochar removes Cd (99.10 to 99.40%), Hg (89.40 to 93.80%), and Cr (8.90 to 73.30%) and Ni (35.50 to 87.10%). Corn cob biochar showed KF for Cd (3.4 × 1011 to 1.8 × 1017 mg/g), Hg (1.8 × 106 to 8.0 × 1012 mg/g), and Cr (0.01 to 1.4 mg/g) and Ni (0.1 to 0.03 mg/g). The corn cob biochar contains primary alcohol, alkane and carboxylic acids groups, peanut shell biochar contains aliphatic, tertiary alcohol, amine and secondary amines, and sheanut shell biochar contains aliphatic, primary alcohol, amine and carboxylic acids groups. The biochar dosage increases the cadmium, mercury, chromium, and nickel adsorption efficiency onto biowaste biochars. The dosage, porous surface, and time increase the adsorption efficiency of cadmium, mercury, chromium, and nickel significantly. The Freundlich model was the best fit model for cadmium and mercury adsorption onto the biochars due to the heterogeneous surface of the adsorbent, which makes it have a tougher binding site. Biowaste biochars demonstrated considerable potential for effectively removing heavy metal ions from gold tailings wastewater, making a valuable contribution to the circular economy and the remediation of environmental pollution.
从生物废物中可持续开发吸附剂并将其用于废水处理是一种循环经济方法。研究了生物炭对金尾矿废水中重金属离子的吸附效果。利用傅里叶变换红外光谱(FTIR)对生物炭中的官能团和键振动进行了识别。共取100 mL金尾矿废水量于锥形烧瓶中,称重后分别加入1.0、2.0、3.0 g的生物废生物炭,在30℃水浴中保持,接触时间分别为20、35、50 min。玉米芯生物炭脱除Cd(99.10 ~ 99.40%)、Hg(90.50 ~ 93.80%)、Cr(15.60 ~ 75.60%)和Ni(21.30 ~ 84.50%),花生壳生物炭脱除Cd(99.10 ~ 99.40%)、Hg(90.60 ~ 93.80%)、Cr(19.10 ~ 77.80%)和Ni(35.50 ~ 85.30%),花生壳生物炭脱除Cd(99.10 ~ 99.40%)、Hg(89.40 ~ 93.80%)、Cr(8.90 ~ 73.30%)和Ni(35.50 ~ 87.10%)。玉米芯生物炭对Cd (3.4 × 1011 ~ 1.8 × 1017 mg/g)、Hg (1.8 × 106 ~ 8.0 × 1012 mg/g)、Cr (0.01 ~ 1.4 mg/g)和Ni (0.1 ~ 0.03 mg/g)的KF值较高。玉米芯生物炭含有伯醇、烷烃和羧酸基团,花生壳生物炭含有脂肪族、叔醇、胺和仲胺,花生壳生物炭含有脂肪族、伯醇、胺和羧酸基团。生物炭的添加量提高了生物炭对镉、汞、铬和镍的吸附效率。添加量、多孔表面和时间均能显著提高镉、汞、铬、镍的吸附效率。Freundlich模型是生物炭吸附镉和汞的最佳拟合模型,因为吸附剂表面的非均质性使其具有较强的结合位点。生物垃圾生物炭在有效去除金尾矿废水中的重金属离子方面显示出相当大的潜力,为循环经济和环境污染的修复做出了宝贵的贡献。
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引用次数: 0
Computational modeling of peristaltic blood flow in a tapered channel with radiative heat flux and reaction mechanisms 具有辐射热通量和反应机制的锥形通道中蠕动血流的计算模型
Q1 Social Sciences Pub Date : 2026-01-01 Epub Date: 2025-11-10 DOI: 10.1016/j.sajce.2025.11.005
S. Ravikumar , Ali B.M. Ali , Raghunath Kodi , Ghulam Rasool , Umid Turdialiyev , Dilsora Abduvalieva , M.Ijaz Khan , Nidhal Ben Khedher
The article demonstrates how computational methods help scientists study peristaltic blood flow and heat transport within biomedical systems. The present model uses peristaltic wave theory to build its framework while incorporating nonuniform boundary conditions. The channel walls show significant concurrence that matches real-world convective conditions. The established conditions enable researchers to study particle movement behavior which becomes essential for cardiac surgery applications. The mathematical model equations underwent transformation through lubrication techniques produced analytical solutions. The accuracy of present findings becomes evident through direct comparison with previously documented research results in scientific literature. The results match each other to a high degree. The hartmann number increase leads to an enhancement of fluid velocity according to this study. The hartmann number adjustment through external magnetic fields enables practical blood flow management which enhances medical device performance and drug delivery system accuracy. The Prandtl number decreases fluid velocity because viscous forces start to dominate thermal diffusivity. The relationship between these two parameters affects multiple fluid systems including blood flow in human bodies and various physical and biological systems. The heat transfer efficiency between conduction and convection increases when the heat biot number reaches higher values. The improved energy transfer leads to increased fluid velocity. The temperature profile shows significant changes because of thermal radiation effects. Medical biology depends on this parameter to optimize treatments through hyperthermia and study thermoregulation and create diagnostic and therapeutic equipment. The chemical reaction parameter strongly affects the concentration levels of the fluid. The knowledge of this relationship enables scientists to create improved therapeutic methods and enhance drug delivery systems and tissue engineering approaches. The chosen qualities are applicable in medical biology, biomechanics, heat exchangers, gas turbines, and several other fields.
这篇文章展示了计算方法如何帮助科学家研究生物医学系统中的蠕动血液流动和热量传输。该模型采用蠕动波理论构建框架,同时考虑了非均匀边界条件。通道壁显示出与真实对流条件相匹配的显著并发性。所建立的条件使研究人员能够研究粒子的运动行为,这对心脏外科应用至关重要。通过润滑技术对数学模型方程进行变换,得到解析解。通过与科学文献中先前记录的研究结果的直接比较,本研究结果的准确性变得明显。结果非常吻合。根据本研究,哈特曼数的增加导致流体速度的增强。通过外部磁场的哈特曼数调整实现了实际的血流管理,从而提高了医疗设备的性能和给药系统的准确性。普朗特数降低流体速度,因为粘性力开始支配热扩散。这两个参数之间的关系影响着包括人体血流在内的多个流体系统以及各种物理和生物系统。热传导与对流的换热效率随着热biot数的增大而增大。能量传递的改善导致流体速度的增加。由于热辐射的影响,温度分布有明显的变化。医学生物学依靠该参数通过热疗优化治疗,研究体温调节和创建诊断和治疗设备。化学反应参数强烈地影响流体的浓度水平。这种关系的知识使科学家能够创造改进的治疗方法,增强药物输送系统和组织工程方法。所选的品质适用于医学生物学、生物力学、热交换器、燃气轮机和其他几个领域。
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引用次数: 0
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South African Journal of Chemical Engineering
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