Pub Date : 2025-12-05DOI: 10.1016/j.scp.2025.102285
Mohamed A. Momtaz , Hanaa S. El-Desoky , Ahmed Rehab , Fathalla Belal
A fast, precise, and stability-indicating reversed-phase high-performance liquid chromatography method was established to measure Ramipril and Amlodipine Besylate in their binary mixture. The proposed approach offers a sustainable option for analyzing pharmaceutical combinations of the two drugs, utilizing a green eluent, reduced analysis time, and minimal waste production. The chromatographic separation was carried out on a Kromasil-100C8 column (4.6 mm × 250 mm, 5 μm) with an eluent consisting of ethanol and sodium perchlorate buffer of pH 2 in 53:47 (v/v) ratio, at a flow rate of 1 mL/min with ultraviolet detection at 210 nm. The method demonstrated linearity range of 5.0–350.0 μg/mL for both drugs. It was thoroughly validated according to International Council for Harmonization, Guideline Q2 (Revision 1) and statistically compared to reported methods. The environmental sustainability of the proposed method was evaluated and contrasted with traditional techniques using different green chemistry metrics: Analytical Eco-Scale, Complex Methodology Green Analytical Procedure Index evaluation, Analytical GREEnness Metric assessment, National Environmental Methods Index, Analytical Green Star Area, Click Analytical Chemistry Index and The Carbon Footprint Reduction Index, in addition to Blue Applicability Grade Index. This method proved more environmentally sustainable, featuring reduced use of hazardous chemicals and solvents, lower energy consumption, and decreased waste generation.
建立了一种快速、精确、稳定性好的反相高效液相色谱法测定雷米普利和苯磺酸氨氯地平二元混合物的含量。所提出的方法为分析两种药物的药物组合提供了一个可持续的选择,利用绿色洗脱液,减少了分析时间,并减少了废物的产生。色谱柱为Kromasil-100C8 (4.6 mm × 250 mm, 5 μm),洗脱液为乙醇和高氯酸钠缓冲液,pH为53:47 (v/v),流速为1 mL/min,紫外检测波长为210 nm。方法在5.0 ~ 350.0 μg/mL范围内呈线性关系。根据国际协调理事会指南Q2(修订版1)进行了彻底验证,并与报告的方法进行了统计比较。采用不同的绿色化学指标对该方法的环境可持续性进行了评价,并与传统方法进行了对比:分析生态尺度、复杂方法绿色分析程序指数评价、分析绿色度指标评价、国家环境方法指数、分析绿星面积、Click分析化学指数和碳足迹减少指数,以及蓝色适用性等级指数。事实证明,这种方法更具环境可持续性,减少了危险化学品和溶剂的使用,降低了能源消耗,减少了废物的产生。
{"title":"Evaluating the environmental sustainability of a stability- indicating HPLC method for the simultaneous quantification of Ramipril and Amlodipine Besylate in pharmaceutical formulations and its application to content uniformity testing","authors":"Mohamed A. Momtaz , Hanaa S. El-Desoky , Ahmed Rehab , Fathalla Belal","doi":"10.1016/j.scp.2025.102285","DOIUrl":"10.1016/j.scp.2025.102285","url":null,"abstract":"<div><div>A fast, precise, and stability-indicating reversed-phase high-performance liquid chromatography method was established to measure Ramipril and Amlodipine Besylate in their binary mixture. The proposed approach offers a sustainable option for analyzing pharmaceutical combinations of the two drugs, utilizing a green eluent, reduced analysis time, and minimal waste production. The chromatographic separation was carried out on a Kromasil-100C8 column (4.6 mm × 250 mm, 5 μm) with an eluent consisting of ethanol and sodium perchlorate buffer of pH 2 in 53:47 (v/v) ratio, at a flow rate of 1 mL/min with ultraviolet detection at 210 nm. The method demonstrated linearity range of 5.0–350.0 μg/mL for both drugs. It was thoroughly validated according to International Council for Harmonization, Guideline Q2 (Revision 1) and statistically compared to reported methods. The environmental sustainability of the proposed method was evaluated and contrasted with traditional techniques using different green chemistry metrics: Analytical Eco-Scale, Complex Methodology Green Analytical Procedure Index evaluation, Analytical GREEnness Metric assessment, National Environmental Methods Index, Analytical Green Star Area, Click Analytical Chemistry Index and The Carbon Footprint Reduction Index, in addition to Blue Applicability Grade Index. This method proved more environmentally sustainable, featuring reduced use of hazardous chemicals and solvents, lower energy consumption, and decreased waste generation.</div></div>","PeriodicalId":22138,"journal":{"name":"Sustainable Chemistry and Pharmacy","volume":"49 ","pages":"Article 102285"},"PeriodicalIF":5.8,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145692019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-04DOI: 10.1016/j.scp.2025.102284
Zhanjun Li , Yunwei Liu , Mingru Kong , Zheng Qin , Qi Shen , Mengze Wang
The primary objective of this study was to achieve high-efficiency, sustainable method for extracting quercetin from Pinus koraiensis seed scales using a green chitosan–Cu–Fe catalyzed ultrasound–microwave continuous system. Key factors were screened and optimized, with the following optimal conditions: a liquid material ratio of 10:1 mL/g for both ultrasonic and microwave treatments, ultrasonic 10 min, 90 W, 40 °C; microwave irradiation at 303 W for 8.19 min; and exogenous chitosan–Cu–Fe at 0.6 %, achieving an actual yield of 3.13 mg/g. The optimal process was compared with conventional Soxhlet extraction, used as a benchmark to evaluate the new method's efficiency. Kinetic analysis showed equilibrium at 12.5 and 50 min, with yields of 3.33 and 3.23 mg/g, respectively, while prolonged high-temperature exposure extraction caused partial degradation of the extract. Life cycle assessment and inductively coupled plasma mass spectrometry confirmed the superior stability and environmental sustainability of the optimal process. Mechanistic evaluation indicated that the extraction followed a second-order kinetics model; with the second-stage activation energy (87.56 kJ/mol) primarily governed by extraction, indicating that regulating the temperature enhances efficiency and reduces losses. Ultrasonic cavitation and microwave heating enhance extraction efficiency, while chitosan–Cu–Fe improves stability by increasing active sites and facilitating electron transfer. The process offers environmental and sustainability benefits, providing insights into the valorization of forest residues.
本研究的主要目的是建立绿色壳聚糖- cu - fe催化超声-微波连续提取红松籽皮中槲皮素的高效、可持续的方法。对关键因素进行筛选和优化,最佳条件为:超声和微波处理的液料比均为10:1 mL/g,超声10 min,功率90 W,温度40℃;303 W微波辐照8.19 min;外源壳聚糖- cu - fe用量为0.6%,实际产率为3.13 mg/g。将优化工艺与传统索氏提取工艺进行比较,并以此为基准评价新方法的有效性。动力学分析表明,在12.5 min和50 min达到平衡,产率分别为3.33和3.23 mg/g,而长时间高温暴露提取导致提取物部分降解。生命周期评价和电感耦合等离子体质谱分析证实了优化工艺优越的稳定性和环境可持续性。机理评价表明,萃取过程符合二级动力学模型;第二阶段活化能(87.56 kJ/mol)主要受萃取控制,说明调节温度可以提高效率,减少损失。超声空化和微波加热提高了萃取效率,壳聚糖- cu - fe通过增加活性位点和促进电子转移来提高萃取稳定性。这一过程提供了环境和可持续性的好处,为森林残留物的价值增值提供了见解。
{"title":"Green and sustainable ultrasound–microwave hybrid system for intensified and efficient quercetin extraction from Pinus koraiensis seed scales","authors":"Zhanjun Li , Yunwei Liu , Mingru Kong , Zheng Qin , Qi Shen , Mengze Wang","doi":"10.1016/j.scp.2025.102284","DOIUrl":"10.1016/j.scp.2025.102284","url":null,"abstract":"<div><div>The primary objective of this study was to achieve high-efficiency, sustainable method for extracting quercetin from <em>Pinus koraiensi</em>s seed scales using a green chitosan–Cu–Fe catalyzed ultrasound–microwave continuous system. Key factors were screened and optimized, with the following optimal conditions: a liquid material ratio of 10:1 mL/g for both ultrasonic and microwave treatments, ultrasonic 10 min, 90 W, 40 °C; microwave irradiation at 303 W for 8.19 min; and exogenous chitosan–Cu–Fe at 0.6 %, achieving an actual yield of 3.13 mg/g. The optimal process was compared with conventional Soxhlet extraction, used as a benchmark to evaluate the new method's efficiency. Kinetic analysis showed equilibrium at 12.5 and 50 min, with yields of 3.33 and 3.23 mg/g, respectively, while prolonged high-temperature exposure extraction caused partial degradation of the extract. Life cycle assessment and inductively coupled plasma mass spectrometry confirmed the superior stability and environmental sustainability of the optimal process. Mechanistic evaluation indicated that the extraction followed a second-order kinetics model; with the second-stage activation energy (87.56 kJ/mol) primarily governed by extraction, indicating that regulating the temperature enhances efficiency and reduces losses. Ultrasonic cavitation and microwave heating enhance extraction efficiency, while chitosan–Cu–Fe improves stability by increasing active sites and facilitating electron transfer. The process offers environmental and sustainability benefits, providing insights into the valorization of forest residues.</div></div>","PeriodicalId":22138,"journal":{"name":"Sustainable Chemistry and Pharmacy","volume":"49 ","pages":"Article 102284"},"PeriodicalIF":5.8,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145692016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-03DOI: 10.1016/j.scp.2025.102272
Qingfen Zhang , Zhiqiang He , Chao Ding , Qi Lu , Zhijian Zhang
This study reports a green and efficient strategy for extracting oxygenated terpenoid-rich essential oil from Artemisia integrifolia leaves (AEO) using an ultrasound coupled with microwave-assisted deep eutectic solvent (DES) extraction (UDME). Ultrasound pretreatment disrupts plant cell wall structures, enabling enhanced DES penetration and subsequent microwave-assisted mass transfer. The UDME technique achieves an essential oil yield of 5.29 ± 0.13 mg/g, demonstrating a 31.92 % improvement over conventional hydrodistillation (4.01 ± 0.11 mg/g). Notably, UDME reduces energy consumption and CO2 emissions compared to traditional methods. Spectroscopic analysis (FTIR and GC-MS) revealed that UDME extracted essential oil contains 67.80 % oxygenated terpenoids, with significant increases in artemisia alcohol (+7.81 %), artemisia ketone (+5.25 %), and eucalyptol (+4.93 %) relative to hydrodistillation. Molecular dynamics (MD) simulations complemented the study by elucidating the dissolution mechanism of artemisia alcohol in a betaine-lactate DES, which is driven by strong electrostatic interactions. Furthermore, radial distribution function (RDF) analysis verified that hydrogen bonding, particularly from lactic acid, serves as the dominant mechanism facilitating efficient dissolution. These compositional advantages correlate with superior bioactivities: AEO exhibits IC50 values of 0.4930 mg/mL (DPPH) and 0.5196 mg/mL (ABTS+) for antioxidant capacity, and a minimum inhibitory concentration (MIC) of 0.20 mg/mL against Listeria monocytogenes. Therefore, the UDME method has proved to be both environmentally friendly and efficient in extracting premium essential oil from leaves of A. integrifolia.
{"title":"Green and efficient extraction of Artemisia integrifolia leaves essential oil via ultrasound coupled with microwave-assisted deep eutectic solvent","authors":"Qingfen Zhang , Zhiqiang He , Chao Ding , Qi Lu , Zhijian Zhang","doi":"10.1016/j.scp.2025.102272","DOIUrl":"10.1016/j.scp.2025.102272","url":null,"abstract":"<div><div>This study reports a green and efficient strategy for extracting oxygenated terpenoid-rich essential oil from <em>Artemisia integrifolia</em> leaves (AEO) using an ultrasound coupled with microwave-assisted deep eutectic solvent (DES) extraction (UDME). Ultrasound pretreatment disrupts plant cell wall structures, enabling enhanced DES penetration and subsequent microwave-assisted mass transfer. The UDME technique achieves an essential oil yield of 5.29 ± 0.13 mg/g, demonstrating a 31.92 % improvement over conventional hydrodistillation (4.01 ± 0.11 mg/g). Notably, UDME reduces energy consumption and CO<sub>2</sub> emissions compared to traditional methods. Spectroscopic analysis (FTIR and GC-MS) revealed that UDME extracted essential oil contains 67.80 % oxygenated terpenoids, with significant increases in artemisia alcohol (+7.81 %), artemisia ketone (+5.25 %), and eucalyptol (+4.93 %) relative to hydrodistillation. Molecular dynamics (MD) simulations complemented the study by elucidating the dissolution mechanism of artemisia alcohol in a betaine-lactate DES, which is driven by strong electrostatic interactions. Furthermore, radial distribution function (RDF) analysis verified that hydrogen bonding, particularly from lactic acid, serves as the dominant mechanism facilitating efficient dissolution. These compositional advantages correlate with superior bioactivities: AEO exhibits IC<sub>50</sub> values of 0.4930 mg/mL (DPPH) and 0.5196 mg/mL (ABTS<sup>+</sup>) for antioxidant capacity, and a minimum inhibitory concentration (MIC) of 0.20 mg/mL against <em>Listeria monocytogenes</em>. Therefore, the UDME method has proved to be both environmentally friendly and efficient in extracting premium essential oil from leaves of <em>A. integrifolia</em>.</div></div>","PeriodicalId":22138,"journal":{"name":"Sustainable Chemistry and Pharmacy","volume":"49 ","pages":"Article 102272"},"PeriodicalIF":5.8,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145692015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, an Aspen Plus® catalytic oxygen-steam gasification model was employed to perform a parametric analysis using olive pomace (OP) and grape marc (GM) biowaste, evaluating syngas composition, hydrogen yield, tar formation, and cold gas efficiency. Key parameters such as temperature, equivalence ratio, steam-to-biomass ratio, pressure, biomass feed rate, and catalyst-to-biomass ratio were analyzed to maximize hydrogen output while reducing tar. The model showed good agreement with experimental results reported in the literature, with a maximum error of 5.90 %. The use of Ni as a catalyst resulted in hydrogen yields ranging from 45 to 84.35 g/kg for OP and 48–75.58 g/kg for GM. Similarly, gasification using CaO as a catalyst produced hydrogen yields ranging from 54.14 to 82.15 g/kg for OP and 50–74.12 g/kg for GM. Regardless of the catalyst used, the OP feedstock produced higher hydrogen yields than GM under comparable gasification conditions. Both Ni and CaO catalysts demonstrated notable improvements in the gasification process by significantly reducing tar formation, enhancing cold gas efficiency, increasing hydrogen yield, and lowering the overall carbon footprint. However, when comparing their performance independently of the feedstock type, CaO exhibited superior catalytic activity under most operating conditions, resulting in higher hydrogen production than Ni.
{"title":"Hydrogen-rich syngas production from agro-food waste: catalytic steam gasification of olive pomace and grape marc using Ni and CaO catalysts","authors":"Aytenew Getaye , Sébastien Vaudreuil , Tijani Bounahmidi , Touria Moudakkar","doi":"10.1016/j.scp.2025.102270","DOIUrl":"10.1016/j.scp.2025.102270","url":null,"abstract":"<div><div>In this study, an Aspen Plus® catalytic oxygen-steam gasification model was employed to perform a parametric analysis using olive pomace (OP) and grape marc (GM) biowaste, evaluating syngas composition, hydrogen yield, tar formation, and cold gas efficiency. Key parameters such as temperature, equivalence ratio, steam-to-biomass ratio, pressure, biomass feed rate, and catalyst-to-biomass ratio were analyzed to maximize hydrogen output while reducing tar. The model showed good agreement with experimental results reported in the literature, with a maximum error of 5.90 %. The use of Ni as a catalyst resulted in hydrogen yields ranging from 45 to 84.35 g/kg for OP and 48–75.58 g/kg for GM. Similarly, gasification using CaO as a catalyst produced hydrogen yields ranging from 54.14 to 82.15 g/kg for OP and 50–74.12 g/kg for GM. Regardless of the catalyst used, the OP feedstock produced higher hydrogen yields than GM under comparable gasification conditions. Both Ni and CaO catalysts demonstrated notable improvements in the gasification process by significantly reducing tar formation, enhancing cold gas efficiency, increasing hydrogen yield, and lowering the overall carbon footprint. However, when comparing their performance independently of the feedstock type, CaO exhibited superior catalytic activity under most operating conditions, resulting in higher hydrogen production than Ni.</div></div>","PeriodicalId":22138,"journal":{"name":"Sustainable Chemistry and Pharmacy","volume":"48 ","pages":"Article 102270"},"PeriodicalIF":5.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.scp.2025.102266
Kefan Chen , Zhaoyi He , Qiong Feng , Penghui Wang
In order to obtain the leaching concentration data of manganese ions from electrolytic manganese residue (EMR) after synergistic calcination quickly and accurately, an artificial neural network (ANN) model with a 5-10-1 topology was designed. The model was optimized using Bat, Grey Wolf, and Particle Swarm Optimization algorithms. The model's input layer parameters include temperature, EMR content, calcium oxide (CaO) content, titanium gypsum (TG) content, and red mud (RM) content. The output layer represented the manganese ion leaching concentration after the calcination of EMR. The dataset consisted of 330 datasets, 230 for training, 50 for validation, and 50 for testing. Various parameters' influence on the leaching concentration of manganese ions was analyzed using the correlation coefficient method. The results showed a strong negative correlation between temperature and the manganese ion leaching concentration. The EMR content was correlated positively with the leaching concentration, while the contents of CaO, TG, and RM were correlated negatively. The PSO-BP neural network model demonstrated the highest accuracy in predicting the manganese ion leaching concentration values, with statistical indicators as follows:R2 = 0.9955, MAE = 0.0352, MSE = 0.0022, and RMSE = 0.0466. Principal component analysis (PCA) identified three principal components with eigenvalues greater than 1. A strong correlation was observed among all of the research variables and the principal components. Each condition's influence on the leaching concentration of manganese ions after calcination was ranked in the following order:Temperature > CaO > EMR > RM > TG. The principal component composite score for the EC4 group ratio was the highest, at 1.48, indicating that it is the optimal ratio. The results suggested that PSO-BP neural network model advances the understanding of nonlinear interactions in EMR co-calcination by enabling precise prediction of manganese ion leaching concentrations, which reveals key mechanisms such as additive synergies.
为了快速准确地获取协同焙烧后电解锰渣中锰离子的浸出浓度数据,设计了5-10-1拓扑的人工神经网络(ANN)模型。采用蝙蝠算法、灰狼算法和粒子群算法对模型进行优化。模型输入层参数包括温度、EMR含量、氧化钙(CaO)含量、钛石膏(TG)含量、赤泥(RM)含量。输出层表示EMR煅烧后锰离子浸出浓度。数据集由330个数据集组成,其中230个用于训练,50个用于验证,50个用于测试。采用相关系数法分析了各参数对锰离子浸出浓度的影响。结果表明,温度与锰离子浸出浓度呈较强的负相关。EMR含量与浸出浓度呈正相关,CaO、TG、RM含量呈负相关。PSO-BP神经网络模型预测锰离子浸出浓度值的准确率最高,统计指标R2 = 0.9955, MAE = 0.0352, MSE = 0.0022, RMSE = 0.0466。主成分分析(PCA)识别出三个特征值大于1的主成分。所有研究变量与主成分之间均存在较强的相关性。各条件对焙烧后锰离子浸出浓度的影响顺序为:温度>; CaO > EMR > RM >; TG。EC4组比例的主成分综合评分最高,为1.48,为最优比例。结果表明,PSO-BP神经网络模型通过精确预测锰离子浸出浓度,提高了对EMR共烧过程中非线性相互作用的理解,揭示了添加剂协同作用等关键机制。
{"title":"Prediction and characteristic analysis of leaching concentration of manganese particles from calcined electrolytic manganese residue based upon BP neural network","authors":"Kefan Chen , Zhaoyi He , Qiong Feng , Penghui Wang","doi":"10.1016/j.scp.2025.102266","DOIUrl":"10.1016/j.scp.2025.102266","url":null,"abstract":"<div><div>In order to obtain the leaching concentration data of manganese ions from electrolytic manganese residue (EMR) after synergistic calcination quickly and accurately, an artificial neural network (ANN) model with a 5-10-1 topology was designed. The model was optimized using Bat, Grey Wolf, and Particle Swarm Optimization algorithms. The model's input layer parameters include temperature, EMR content, calcium oxide (CaO) content, titanium gypsum (TG) content, and red mud (RM) content. The output layer represented the manganese ion leaching concentration after the calcination of EMR. The dataset consisted of 330 datasets, 230 for training, 50 for validation, and 50 for testing. Various parameters' influence on the leaching concentration of manganese ions was analyzed using the correlation coefficient method. The results showed a strong negative correlation between temperature and the manganese ion leaching concentration. The EMR content was correlated positively with the leaching concentration, while the contents of CaO, TG, and RM were correlated negatively. The PSO-BP neural network model demonstrated the highest accuracy in predicting the manganese ion leaching concentration values, with statistical indicators as follows:R<sup>2</sup> = 0.9955, MAE = 0.0352, MSE = 0.0022, and RMSE = 0.0466. Principal component analysis (PCA) identified three principal components with eigenvalues greater than 1. A strong correlation was observed among all of the research variables and the principal components. Each condition's influence on the leaching concentration of manganese ions after calcination was ranked in the following order:Temperature > CaO > EMR > RM > TG. The principal component composite score for the EC4 group ratio was the highest, at 1.48, indicating that it is the optimal ratio. The results suggested that PSO-BP neural network model advances the understanding of nonlinear interactions in EMR co-calcination by enabling precise prediction of manganese ion leaching concentrations, which reveals key mechanisms such as additive synergies.</div></div>","PeriodicalId":22138,"journal":{"name":"Sustainable Chemistry and Pharmacy","volume":"48 ","pages":"Article 102266"},"PeriodicalIF":5.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To achieve high-volume utilization of industrial solid wastes in cementitious systems, this study employed red mud (RM) as the primary material, in combination with ground-granulated blast-furnace slag (GGBS) and hemihydrate phosphogypsum (HPG), to progressively replace cement. The evolution of hydration reactions, phase assemblage, and microstructure during the replacement process was systematically investigated, and a technical route of “internal alkali-latent hydraulic reactivity-sulfate synergistic activation” was proposed. The results showed that the binder containing 95 % total solid waste (50 % RM, 25 % GGBS, and 20 % HPG) and 5 % commercial reference cement achieved 28-day flexural and compressive strengths of 6.8 MPa and 32.4 MPa, respectively. Microstructural characterization revealed that RM alone could not substitute cement effectively due to its limited pozzolanic reactivity, while the incorporation of GGBS consumed OH− ions and facilitated the formation of hydration products. In the CRSHPG system, SO42− released from HPG hydration reacted with Ca2+ and Al3+ to generate abundant ettringite (AFt), which formed a load-bearing skeletal framework. Although AFt increased capillary pore volume to some extent, its intergrowth with C-(A)-S-H gel effectively maintained structural integrity and supported long-term strength development. Toxicity leaching tests demonstrated that the system met safety requirements for heavy-metal leaching, though continued attention should be paid to As and Pb concentrations. Life-cycle assessment (LCA) indicated superior environmental performance compared with conventional cement, with an estimated approximately 85 % reduction in CO2 emissions. This study provides a feasible pathway for the high-volume valorization of multiple industrial solid wastes in sustainable cementitious systems.
为实现工业固体废弃物在胶凝体系中的大批量利用,本研究以赤泥(RM)为主要材料,与磨粒高炉渣(GGBS)和半水磷石膏(HPG)相结合,逐步替代水泥。系统研究了置换过程中水化反应、相组合和微观结构的演变,提出了“内碱-潜水力反应-硫酸盐协同活化”的技术路线。结果表明,含95%固体废物(50% RM、25% GGBS和20% HPG)和5%商业参考水泥的粘结剂,28天的抗折强度和抗压强度分别为6.8 MPa和32.4 MPa。微观结构表征表明,RM由于其有限的火山灰反应活性,不能有效地替代水泥,而GGBS的加入消耗了OH−离子,促进了水化产物的形成。在CRSHPG体系中,HPG水化释放的SO42−与Ca2+和Al3+反应生成丰富的钙矾石(AFt),形成承重骨架框架。虽然AFt在一定程度上增加了毛细孔体积,但它与C-(A)- s - h凝胶的共生有效地保持了结构的完整性,支持了长期的强度发展。毒性浸出试验表明,该系统符合重金属浸出的安全要求,但仍需继续关注砷和铅的浓度。生命周期评估(LCA)表明,与传统水泥相比,该水泥具有优越的环保性能,估计可减少约85%的二氧化碳排放。本研究为多种工业固体废物在可持续胶凝体系中实现高容量增值提供了一条可行途径。
{"title":"Superior mechanical performance and environmental benefit of internal alkali-latent hydraulic reactivity-sulfate synergistic activated red mud-based low-cement binders","authors":"Zeyuan Wang, Lingling Wang, Dewen Kong, Daiyu Zhou, Qiwan Zhang","doi":"10.1016/j.scp.2025.102268","DOIUrl":"10.1016/j.scp.2025.102268","url":null,"abstract":"<div><div>To achieve high-volume utilization of industrial solid wastes in cementitious systems, this study employed red mud (RM) as the primary material, in combination with ground-granulated blast-furnace slag (GGBS) and hemihydrate phosphogypsum (HPG), to progressively replace cement. The evolution of hydration reactions, phase assemblage, and microstructure during the replacement process was systematically investigated, and a technical route of “internal alkali-latent hydraulic reactivity-sulfate synergistic activation” was proposed. The results showed that the binder containing 95 % total solid waste (50 % RM, 25 % GGBS, and 20 % HPG) and 5 % commercial reference cement achieved 28-day flexural and compressive strengths of 6.8 MPa and 32.4 MPa, respectively. Microstructural characterization revealed that RM alone could not substitute cement effectively due to its limited pozzolanic reactivity, while the incorporation of GGBS consumed OH<sup>−</sup> ions and facilitated the formation of hydration products. In the CRSHPG system, SO<sub>4</sub><sup>2−</sup> released from HPG hydration reacted with Ca<sup>2+</sup> and Al<sup>3+</sup> to generate abundant ettringite (AFt), which formed a load-bearing skeletal framework. Although AFt increased capillary pore volume to some extent, its intergrowth with C-(A)-S-H gel effectively maintained structural integrity and supported long-term strength development. Toxicity leaching tests demonstrated that the system met safety requirements for heavy-metal leaching, though continued attention should be paid to As and Pb concentrations. Life-cycle assessment (LCA) indicated superior environmental performance compared with conventional cement, with an estimated approximately 85 % reduction in CO<sub>2</sub> emissions. This study provides a feasible pathway for the high-volume valorization of multiple industrial solid wastes in sustainable cementitious systems.</div></div>","PeriodicalId":22138,"journal":{"name":"Sustainable Chemistry and Pharmacy","volume":"48 ","pages":"Article 102268"},"PeriodicalIF":5.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-29DOI: 10.1016/j.scp.2025.102273
Muhammed Ulucan , Ibrahim Cebeci , Musa Yetkin , Kursat Esat Alyamac
This study focuses on exploring the engineering and environmental properties of self-compacting lightweight mortars designed to reduce the environmental outputs of waste materials obtained from buildings demolished by destructive earthquakes, incorporate these waste materials, and minimize carbon emissions. Ten different self-compacting lightweight mortars were prepared using pumice and recycled materials as aggregates, metakaolin and ground granulated blast furnace slag as combination supplementary cementitious materials (SCM). MK15 indicated a 13.9–11.9 % improvement in final age compressive and flexural strengths (180 days). Approximately 40–65 % decrease in flexural and compressive strengths at 600 and 900 °C. In sulphate resistance tests, the lowest decrease in compressive and flexural strength (5.3–5.7 %) was observed in GGBFS10. SCM was found to deliver striking results across five impact categories, identifying the critical importance of cement for greener construction technologies and the effectiveness of design. To this end, this research provides a sustainable approach to reduce earthquake-related waste stock, environmental outputs, and cement consumption by incorporating waste materials into self-compacting concrete and mortar technology, which is widely used in new buildings in Turkey, a country that has been exposed to devastating earthquakes in recent years.
{"title":"Toward greener construction: Advancing self-compacting lightweight mortars with sustainable binders and multiscale performance evaluation","authors":"Muhammed Ulucan , Ibrahim Cebeci , Musa Yetkin , Kursat Esat Alyamac","doi":"10.1016/j.scp.2025.102273","DOIUrl":"10.1016/j.scp.2025.102273","url":null,"abstract":"<div><div>This study focuses on exploring the engineering and environmental properties of self-compacting lightweight mortars designed to reduce the environmental outputs of waste materials obtained from buildings demolished by destructive earthquakes, incorporate these waste materials, and minimize carbon emissions. Ten different self-compacting lightweight mortars were prepared using pumice and recycled materials as aggregates, metakaolin and ground granulated blast furnace slag as combination supplementary cementitious materials (SCM). MK15 indicated a 13.9–11.9 % improvement in final age compressive and flexural strengths (180 days). Approximately 40–65 % decrease in flexural and compressive strengths at 600 and 900 °C. In sulphate resistance tests, the lowest decrease in compressive and flexural strength (5.3–5.7 %) was observed in GGBFS10. SCM was found to deliver striking results across five impact categories, identifying the critical importance of cement for greener construction technologies and the effectiveness of design. To this end, this research provides a sustainable approach to reduce earthquake-related waste stock, environmental outputs, and cement consumption by incorporating waste materials into self-compacting concrete and mortar technology, which is widely used in new buildings in Turkey, a country that has been exposed to devastating earthquakes in recent years.</div></div>","PeriodicalId":22138,"journal":{"name":"Sustainable Chemistry and Pharmacy","volume":"49 ","pages":"Article 102273"},"PeriodicalIF":5.8,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145622809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-29DOI: 10.1016/j.scp.2025.102274
Hamed A. Keykha , Ottavia Rispoli , Maria Mavroulidou , Hadi Mohamadzadeh Romiani
This study evaluates CO2-induced carbonate minerals synthesised by direct CO2 absorption, as novel injectable materials for permeation grouting, aiming to enhance the sustainability of ground improvement techniques. The investigation started with Scanning Electron Microscopy (SEM), and X-ray Diffraction (XRD) analyses that attested the formation of siderite (FeCO3) and calcite (CaCO3) carbonate minerals, which precipitated in the soil voids. Sand samples treated with siderite grout achieved the highest Unconfined Compressive Strength (UCS) of 70 kPa at 11 % siderite content; those treated with calcite grout reached 53 kPa at a calcite content of 16 %. Peat, of a 12 kPa UCS, reached a UCS of 36 kPa after grouting with 20 % siderite, and 23 kPa after grouting with 19 % calcite. Life Cycle Assessment (LCA) of carbonate grout mixtures against conventional cement-based grout showed an 85 %–87 % reduction in the global warming potential and improvements in 13–14 out of the 18 environmental impact categories respectively for calcite and siderite grout, with major reductions in fossil and mineral resource scarcity, ground level ozone and fine particle formation. The proposed carbonate-based grouts comply with green chemistry principles and SDGs and have the potential advantage of consuming captured CO2 from industrial sources. Overall, carbonate minerals synthesised using CO2 give promise for grouting applications, while providing a potential route for CO2 utilisation.
{"title":"Application of CO2-induced carbonate minerals as novel grouting materials for soil improvement","authors":"Hamed A. Keykha , Ottavia Rispoli , Maria Mavroulidou , Hadi Mohamadzadeh Romiani","doi":"10.1016/j.scp.2025.102274","DOIUrl":"10.1016/j.scp.2025.102274","url":null,"abstract":"<div><div>This study evaluates CO<sub>2</sub>-induced carbonate minerals synthesised by direct CO<sub>2</sub> absorption, as novel injectable materials for permeation grouting, aiming to enhance the sustainability of ground improvement techniques. The investigation started with Scanning Electron Microscopy (SEM), and X-ray Diffraction (XRD) analyses that attested the formation of siderite (FeCO<sub>3</sub>) and calcite (CaCO<sub>3</sub>) carbonate minerals, which precipitated in the soil voids. Sand samples treated with siderite grout achieved the highest Unconfined Compressive Strength (UCS) of 70 kPa at 11 % siderite content; those treated with calcite grout reached 53 kPa at a calcite content of 16 %. Peat, of a 12 kPa UCS, reached a UCS of 36 kPa after grouting with 20 % siderite, and 23 kPa after grouting with 19 % calcite. Life Cycle Assessment (LCA) of carbonate grout mixtures against conventional cement-based grout showed an 85 %–87 % reduction in the global warming potential and improvements in 13–14 out of the 18 environmental impact categories respectively for calcite and siderite grout, with major reductions in fossil and mineral resource scarcity, ground level ozone and fine particle formation. The proposed carbonate-based grouts comply with green chemistry principles and SDGs and have the potential advantage of consuming captured CO<sub>2</sub> from industrial sources. Overall, carbonate minerals synthesised using CO<sub>2</sub> give promise for grouting applications, while providing a potential route for CO<sub>2</sub> utilisation.</div></div>","PeriodicalId":22138,"journal":{"name":"Sustainable Chemistry and Pharmacy","volume":"49 ","pages":"Article 102274"},"PeriodicalIF":5.8,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145692014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-28DOI: 10.1016/j.scp.2025.102271
Zeinab Adel Nasr , Noha Salem Rashed , Eman Abdalla Shalaby , Galal Magdy
A rapid, eco-friendly, and very sensitive synchronous spectrofluorimetric technique was established for the concurrent assay of a binary combination of naproxen (NAP) and hydroxychloroquine (HCQ), for the first time. The technique relies on quantifying the synchronous fluorescence intensities of the two pharmaceuticals in a borate buffer at pH 10 utilizing a fixed wavelength difference (Δλ) of 80.0 nm in water as a green solvent. The simultaneous quantification of both drugs included measuring NAP at 227 nm and HCQ at 325 nm, in the presence of one another without interference. Superb linearity ranges were achieved between 10.0–300.0 ng/mL and 10.0–250.0 ng/mL, for NAP and HCQ, respectively with a correlation coefficient value (r) above 0.999. The findings revealed that the proposed method has very high sensitivity, with detection limits of 2.40 and 1.56 ng/mL for NAP and HCQ, respectively, underscoring its strong bioanalytical application. The proposed methodology was successfully utilized to concurrently quantify the specified pharmaceuticals in their tablets and human plasma samples, attaining elevated recovery percentages and minimal % RSD values. To evaluate the environmental sustainability of the suggested technique, the Analytical Green Star Area (AGSA) and Analytical GREENNESS (AGREE) metrics were utilized. Both tools indicated that the proposed technique is very ecologically sustainable, recommending its use as an eco-friendly alternative for the regular analysis of the examined medications. MA-tool was used to conduct a thorough evaluation of the method's sustainability, practicality, performance, and innovation. The developed methodology was validated in accordance with the ICH Q2 (R2) standards.
{"title":"A novel synchronous spectrofluorimetric analysis of naproxen and hydroxychloroquine in plasma and pharmaceuticals at nanogram levels: Comparative greenness and sustainability assessment","authors":"Zeinab Adel Nasr , Noha Salem Rashed , Eman Abdalla Shalaby , Galal Magdy","doi":"10.1016/j.scp.2025.102271","DOIUrl":"10.1016/j.scp.2025.102271","url":null,"abstract":"<div><div>A rapid, eco-friendly, and very sensitive synchronous spectrofluorimetric technique was established for the concurrent assay of a binary combination of naproxen (NAP) and hydroxychloroquine (HCQ), for the first time. The technique relies on quantifying the synchronous fluorescence intensities of the two pharmaceuticals in a borate buffer at pH 10 utilizing a fixed wavelength difference (Δλ) of 80.0 nm in water as a green solvent. The simultaneous quantification of both drugs included measuring NAP at 227 nm and HCQ at 325 nm, in the presence of one another without interference. Superb linearity ranges were achieved between 10.0–300.0 ng/mL and 10.0–250.0 ng/mL, for NAP and HCQ, respectively with a correlation coefficient value (r) above 0.999. The findings revealed that the proposed method has very high sensitivity, with detection limits of 2.40 and 1.56 ng/mL for NAP and HCQ, respectively, underscoring its strong bioanalytical application. The proposed methodology was successfully utilized to concurrently quantify the specified pharmaceuticals in their tablets and human plasma samples, attaining elevated recovery percentages and minimal % RSD values. To evaluate the environmental sustainability of the suggested technique, the Analytical Green Star Area (AGSA) and Analytical GREENNESS (AGREE) metrics were utilized. Both tools indicated that the proposed technique is very ecologically sustainable, recommending its use as an eco-friendly alternative for the regular analysis of the examined medications. MA-tool was used to conduct a thorough evaluation of the method's sustainability, practicality, performance, and innovation. The developed methodology was validated in accordance with the ICH Q2 (R2) standards.</div></div>","PeriodicalId":22138,"journal":{"name":"Sustainable Chemistry and Pharmacy","volume":"49 ","pages":"Article 102271"},"PeriodicalIF":5.8,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}