Antimicrobial resistance (AMR) demands alternative strategies to overcome the restrictions of conventional antibiotics. This study reports the green synthesis of chitosan-functionalized silver nanoparticles (CS-AgNPs) in a one-step process at room temperature by employing a non-thermal plasma (NTP) process in an aqueous phase without using any hazardous reducing agent. Ar/H2 plasma generated highly reactive species, thus enabling rapid Ag+ reduction and simultaneously acting as a chitosan capping agent to produce crystalline, monodisperse nanoparticles. FTIR, Raman, XPS, and TEM analyses confirmed strong chitosan coordination (Ag–N, Ag–O) and uniform elemental distribution. CS-AgNPs displayed dose-dependent antibacterial activity against multidrug-resistant Escherichia coli, Salmonella enterica, and Streptococcus mutans, inhibiting their growth in the concentration range 2.34–4.69 µg/mL and reducing their colony-forming unit (CFU) count to a maximum of 1 log unit at 75 µg/mL. Cytotoxicity tests revealed that CS-AgNPs do not have any detrimental effects on RAW 264.7 and HT-29 cells at 37.5 µg/mL. CS-AgNPs inhibited the virulence genes SPI-1 and SPI-2 of Salmonella enterica, hence reducing its adhesion, invasion, and survival inside cells. These results pointed out that CS-AgNPs study in a two-step mode of action, with direct bactericidal activity and suppression of bacterial virulence, while keeping the viability of host cells intact. In conclusion, the NTP synthesized CS-AgNPs provides a biocompatible, effective, and sustainable platform to address the growing threat caused by AMR pathogens, with further applications in infection control and biomedical devices.
{"title":"Green synthesis of chitosan-functionalized silver nanoparticles using non-thermal plasma as biocompatible antimicrobials against multidrug-resistant pathogens","authors":"Tirtha Raj Acharya , Manorma Negi , Prajwal Lamichhane , Apurva Jaiswal , Oat Bahadur Dhakal , Sandhya Gautam , JunYoung Park , Rizwan Wahab , Abdulaziz A. Al-Khedhairy , Neha Kaushik , Eun Ha Choi , Nagendra Kumar Kaushik","doi":"10.1016/j.ceja.2025.101010","DOIUrl":"10.1016/j.ceja.2025.101010","url":null,"abstract":"<div><div>Antimicrobial resistance (AMR) demands alternative strategies to overcome the restrictions of conventional antibiotics. This study reports the green synthesis of chitosan-functionalized silver nanoparticles (CS-AgNPs) in a one-step process at room temperature by employing a non-thermal plasma (NTP) process in an aqueous phase without using any hazardous reducing agent. Ar/H<sub>2</sub> plasma generated highly reactive species, thus enabling rapid Ag<sup>+</sup> reduction and simultaneously acting as a chitosan capping agent to produce crystalline, monodisperse nanoparticles. FTIR, Raman, XPS, and TEM analyses confirmed strong chitosan coordination (Ag–N, Ag–O) and uniform elemental distribution. CS-AgNPs displayed dose-dependent antibacterial activity against multidrug-resistant <em>Escherichia coli, Salmonella enterica</em>, and <em>Streptococcus mutans</em>, inhibiting their growth in the concentration range 2.34–4.69 µg/mL and reducing their colony-forming unit (CFU) count to a maximum of 1 log unit at 75 µg/mL. Cytotoxicity tests revealed that CS-AgNPs do not have any detrimental effects on RAW 264.7 and HT-29 cells at 37.5 µg/mL. CS-AgNPs inhibited the virulence genes SPI-1 and SPI-2 of Salmonella enterica, hence reducing its adhesion, invasion, and survival inside cells. These results pointed out that CS-AgNPs study in a two-step mode of action, with direct bactericidal activity and suppression of bacterial virulence, while keeping the viability of host cells intact. In conclusion, the NTP synthesized CS-AgNPs provides a biocompatible, effective, and sustainable platform to address the growing threat caused by AMR pathogens, with further applications in infection control and biomedical devices.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"25 ","pages":"Article 101010"},"PeriodicalIF":7.1,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigated the use of hydrochar (HC) derived from durian peels as an adsorbent for removing methylene blue (MB) from an aqueous environment. HC was synthesized from durian peels using hydrothermal carbonization under varying temperature (160 – 200 °C) and time (2 – 6 h) conditions. The optimal condition 180 °C for 2 h (HC-180–2) was identified. HC-180–2 was evaluated in MB adsorption experiments and adsorbent characterization. It achieved a maximum MB adsorption capacity (q) of 51.6 mg/g at room temperature, reaching equilibrium within 150 min, and the q value increased to 59.2 mg/g at 65 °C. The adsorption followed pseudo-second-order kinetics (R2 = 0.996) and Langmuir isothermal behavior (R2 = 0.996), indicating chemisorption on energetically uniform adsorption sites. Thermodynamic analysis yielded Gibbs free energy values ranging from -43.0 to -55.3 kJ/mol and an enthalpy change of 48.5 kJ/mol, which further confirmed the spontaneous and endothermic nature of the chemisorption process. The surface area of HC-180–2 increased from 3.04 to 6.36 m²/g compared to the biomass, confirming the chemisorption and dependence on chemical functionality rather than physical surface area. Structural characterizations revealed enhanced aromatization and functional group formation, including sulfone and ester groups. Density functional theory calculations revealed two possible HC-MB conformation with adsorption mechanisms involving hydrogen bonding, π-π stacking and π-sulfur interactions. The chemisorption nature was also confirmed through Quantum Theory of Atoms in Molecules electron density pathway analysis. While the adsorption capacity was moderate compared to chemically modified adsorbents, the minimally processed durian peels HC positioned itself as a promising green alternative for MB removal.
{"title":"Sustainable removal of methylene blue using minimally modified hydrochar from durian peels with experimental adsorption and density functional theory studies","authors":"Piangjai Peerakiatkhajohn , Praewa Wongburi , Kamonwat Nakason , Bunyarit Panyapinyopol , Khanin Nueangnoraj , Phongphot Sakulaue , Davide Poggio , William Nimmo , Jakkapon Phanthuwongpakdee","doi":"10.1016/j.ceja.2025.101011","DOIUrl":"10.1016/j.ceja.2025.101011","url":null,"abstract":"<div><div>This study investigated the use of hydrochar (HC) derived from durian peels as an adsorbent for removing methylene blue (MB) from an aqueous environment. HC was synthesized from durian peels using hydrothermal carbonization under varying temperature (160 – 200 °C) and time (2 – 6 h) conditions. The optimal condition 180 °C for 2 h (HC-180–2) was identified. HC-180–2 was evaluated in MB adsorption experiments and adsorbent characterization. It achieved a maximum MB adsorption capacity (<em>q</em>) of 51.6 mg/g at room temperature, reaching equilibrium within 150 min, and the <em>q</em> value increased to 59.2 mg/g at 65 °C. The adsorption followed pseudo-second-order kinetics (R<sup>2</sup> = 0.996) and Langmuir isothermal behavior (R<sup>2</sup> = 0.996), indicating chemisorption on energetically uniform adsorption sites. Thermodynamic analysis yielded Gibbs free energy values ranging from -43.0 to -55.3 kJ/mol and an enthalpy change of 48.5 kJ/mol, which further confirmed the spontaneous and endothermic nature of the chemisorption process. The surface area of HC-180–2 increased from 3.04 to 6.36 m²/g compared to the biomass, confirming the chemisorption and dependence on chemical functionality rather than physical surface area. Structural characterizations revealed enhanced aromatization and functional group formation, including sulfone and ester groups. Density functional theory calculations revealed two possible HC-MB conformation with adsorption mechanisms involving hydrogen bonding, π-π stacking and π-sulfur interactions. The chemisorption nature was also confirmed through Quantum Theory of Atoms in Molecules electron density pathway analysis. While the adsorption capacity was moderate compared to chemically modified adsorbents, the minimally processed durian peels HC positioned itself as a promising green alternative for MB removal.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"25 ","pages":"Article 101011"},"PeriodicalIF":7.1,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates the long-term effectiveness of an automated Sequencing Batch Airlift Reactor (SBAR) in simultaneous removal of COD, NH4+, PO43, and SO42− by developing aerobic micro granular sludge. For this an automated SBAR (3 L capacity) with pH and DO controls, operated for 8 h (short) followed by 16 h (long) cycles; was employed using synthetic wastewater over a year. This study operated in six different phases with durations of 23, 27, 73, 125, 67, and 52 days, respectively within a temperature range of 31.5 ± 3.5 °C. During the entire phases, influent concentrations were maintained approximately at NH4+-N = 50 mg/L, COD = 480 mg/L, and SO42−-S = 35 mg/L, while PO43−-P was maintained at 10 mg/L for Phases I–IV and then decreased to 5 mg/L for Phases V–VI. Sludge was not wasted during the entire operation from SBAR and thus maintained a very high solids retention time (SRT) to promote the growth of slow growing bacteria like anammox and achieved zero sludge discharge. In the stabilized conditions in the final phase, the SBAR performed well for an average simultaneous removal of COD (96.67 ± 1.17%), NH4+-N (91.70 ± 3.66%), TN (83.21 ± 3.61%), PO43−-P (91.37 ± 1.55%) and SO42−-S (70.73 ± 4.13%). Batch studies and microbial identification studies carried out using biomass drawn from SBAR showed that mixed culture involving anammox, autotrophic nitrification, heterotrophic denitrification, thiobacillus denitrification, and heterotrophic nitrification and aerobic denitrification (HN-AD) played significant roles in nitrogen removal. Enhanced phosphate removal was achieved by P binding to loosely bound extracellular polymeric substances in addition to the enhanced biological phosphorus removal. Overall, these findings highlight the effectiveness in cultivating majorly aerobic micro granular sludge and sustainability of the SBAR in simultaneous removal of COD, NH4+, PO43−, and SO42−. The developed process could be a good choice for decentralized wastewater treatment systems, particularly in resource-constrained regions and contributes to achieving United Nations Sustainable Development Goal #6.
{"title":"Development of aerobic micro granular sludge in a sequencing batch airlift reactor for simultaneous removal of COD, NH4+, PO43-, and SO42-","authors":"Kunnath Saidalavi Shameem , Pothanamkandathil Chacko Sabumon","doi":"10.1016/j.ceja.2025.101006","DOIUrl":"10.1016/j.ceja.2025.101006","url":null,"abstract":"<div><div>This study investigates the long-term effectiveness of an automated Sequencing Batch Airlift Reactor (SBAR) in simultaneous removal of COD, NH<sub>4</sub><sup>+</sup>, PO<sub>4</sub><sup>3</sup>, and SO<sub>4</sub><sup>2−</sup> by developing aerobic micro granular sludge. For this an automated SBAR (3 L capacity) with pH and DO controls, operated for 8 h (short) followed by 16 h (long) cycles; was employed using synthetic wastewater over a year. This study operated in six different phases with durations of 23, 27, 73, 125, 67, and 52 days, respectively within a temperature range of 31.5 ± 3.5 °C. During the entire phases, influent concentrations were maintained approximately at NH<sub>4</sub><sup>+</sup>-<em>N</em> = 50 mg/L, COD = 480 mg/L, and SO<sub>4</sub><sup>2−</sup>-<em>S</em> = 35 mg/L, while PO<sub>4</sub><sup>3−</sup>-P was maintained at 10 mg/L for Phases I–IV and then decreased to 5 mg/L for Phases V–VI. Sludge was not wasted during the entire operation from SBAR and thus maintained a very high solids retention time (SRT) to promote the growth of slow growing bacteria like anammox and achieved zero sludge discharge. In the stabilized conditions in the final phase, the SBAR performed well for an average simultaneous removal of COD (96.67 ± 1.17%), NH<sub>4</sub><sup>+</sup>-N (91.70 ± 3.66%), TN (83.21 ± 3.61%), PO<sub>4</sub><sup>3−</sup>-P (91.37 ± 1.55%) and SO<sub>4</sub><sup>2−</sup>-S (70.73 ± 4.13%). Batch studies and microbial identification studies carried out using biomass drawn from SBAR showed that mixed culture involving anammox, autotrophic nitrification, heterotrophic denitrification, thiobacillus denitrification, and heterotrophic nitrification and aerobic denitrification (HN-AD) played significant roles in nitrogen removal. Enhanced phosphate removal was achieved by P binding to loosely bound extracellular polymeric substances in addition to the enhanced biological phosphorus removal. Overall, these findings highlight the effectiveness in cultivating majorly aerobic micro granular sludge and sustainability of the SBAR in simultaneous removal of COD, NH<sub>4</sub><sup>+</sup>, PO<sub>4</sub><sup>3−</sup>, and SO<sub>4</sub><sup>2−</sup>. The developed process could be a good choice for decentralized wastewater treatment systems, particularly in resource-constrained regions and contributes to achieving United Nations Sustainable Development Goal #6.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"25 ","pages":"Article 101006"},"PeriodicalIF":7.1,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-23DOI: 10.1016/j.ceja.2025.101009
Abolfazl Shokri, Faezeh Mirshafiee, Ahad Ghaemi
This research studies the modelling and optimization of CO₂ absorption in a mixed MDEA-Sulfolane solvent system using response surface methodology (RSM), multilayer perceptron (MLP), and radial basis function (RBF) approaches. Experimental data from a stirred reactor were collected with five input parameters, including temperature in the range of 20–70 °C, pressure in the range of 2–8 bar, sulfolane concentration in the range of 10–20 mol/L, MDEA concentration in the range of 10–20 mol/L, and time in the range of 60–3600 s. Two main output responses, CO₂ loading in the range of 0.0094–0.3627 and mass transfer flux of 0.00023–0.00782 mol/m².s, were examined. The modeling results showed that the MLP network provided the highest predictive accuracy, with K-fold-validated R² values of 0.9999 for CO₂ loading and 0.9863 for mass-transfer flux, outperforming both the RBF model (R² ≈ 0.9993–0.9885) and RSM (R² ≈ 0.9800–0.9563). The optimal MLP structure used 55 neurons, selected through systematic evaluation to prevent overfitting. Optimization using RSM and ANN–GA produced closely matching results. For the flux-optimum, both methods identified the same operating point (24.77 °C, 7.995 bar, 19.98 mol L⁻¹ sulfolane, 19.998 mol L⁻¹ MDEA, 60.01 s), with predicted fluxes of 0.0090 (RSM) and 0.0089 mol m⁻² s⁻¹ (MLP–GA). For the loading-optimum (at 20 °C, 8 bar, 10 mol L⁻¹ sulfolane, 13.30 mol L⁻¹ MDEA, 3552 s), RSM predicted 0.4510, while MLP–GA predicted 0.4301, corresponding to a small deviation of 4.63 %. Overall, the strong consistency between RSM and ANN–GA confirms the reliability of the ANN framework for predicting and optimizing CO₂ absorption performance in hybrid solvent systems.
本研究采用响应面法(RSM)、多层感知器(MLP)和径向基函数(RBF)等方法对mdea -亚砜混合溶剂体系CO 2吸收的建模和优化进行了研究。采用温度20 ~ 70℃、压力2 ~ 8 bar、亚砜浓度10 ~ 20 mol/L、MDEA浓度10 ~ 20 mol/L、时间60 ~ 3600 s 5个输入参数采集搅拌反应器的实验数据。两个主要的输出响应,CO₂负荷范围为0.0094-0.3627,传质通量范围为0.00023-0.00782 mol/m²。S,进行了检查。建模结果表明,MLP网络具有最高的预测精度,其对CO₂负荷的预测R²值为0.9999,对传质通量的预测R²值为0.9863,优于RBF模型(R²≈0.9993 ~ 0.9885)和RSM模型(R²≈0.9800 ~ 0.9563)。最优MLP结构使用55个神经元,通过系统评估选择以防止过拟合。利用RSM和ANN-GA进行优化,得到了非常接近的匹配结果。对于最佳通量,两种方法都确定了相同的工作点(24.77°C, 7.995巴,19.98 mol L -⁻¹亚丁胺,19.998 mol L - MDEA, 60.01秒),预测通量为0.0090 (RSM)和0.0089 mol m -⁻²s (MLP-GA)。对于负载最优(在20°C, 8 bar, 10 mol L -⁻¹亚丁胺,13.30 mol L - MDEA, 3552 s), RSM预测为0.4510,而MLP-GA预测为0.4301,偏差较小,为4.63%。总的来说,RSM和ANN - ga之间的强一致性证实了ANN框架在预测和优化混合溶剂体系CO₂吸收性能方面的可靠性。
{"title":"Experimental modeling and optimization of CO2 absorption into MDEA-sulfolane solution using RSM and ANNs","authors":"Abolfazl Shokri, Faezeh Mirshafiee, Ahad Ghaemi","doi":"10.1016/j.ceja.2025.101009","DOIUrl":"10.1016/j.ceja.2025.101009","url":null,"abstract":"<div><div>This research studies the modelling and optimization of CO₂ absorption in a mixed MDEA-Sulfolane solvent system using response surface methodology (RSM), multilayer perceptron (MLP), and radial basis function (RBF) approaches. Experimental data from a stirred reactor were collected with five input parameters, including temperature in the range of 20–70 °C, pressure in the range of 2–8 bar, sulfolane concentration in the range of 10–20 mol/L, MDEA concentration in the range of 10–20 mol/L, and time in the range of 60–3600 s. Two main output responses, CO₂ loading in the range of 0.0094–0.3627 and mass transfer flux of 0.00023–0.00782 mol/m².s, were examined. The modeling results showed that the MLP network provided the highest predictive accuracy, with K-fold-validated R² values of 0.9999 for CO₂ loading and 0.9863 for mass-transfer flux, outperforming both the RBF model (R² ≈ 0.9993–0.9885) and RSM (R² ≈ 0.9800–0.9563). The optimal MLP structure used 55 neurons, selected through systematic evaluation to prevent overfitting. Optimization using RSM and ANN–GA produced closely matching results. For the flux-optimum, both methods identified the same operating point (24.77 °C, 7.995 bar, 19.98 mol L⁻¹ sulfolane, 19.998 mol L⁻¹ MDEA, 60.01 s), with predicted fluxes of 0.0090 (RSM) and 0.0089 mol m⁻² s⁻¹ (MLP–GA). For the loading-optimum (at 20 °C, 8 bar, 10 mol L⁻¹ sulfolane, 13.30 mol L⁻¹ MDEA, 3552 s), RSM predicted 0.4510, while MLP–GA predicted 0.4301, corresponding to a small deviation of 4.63 %. Overall, the strong consistency between RSM and ANN–GA confirms the reliability of the ANN framework for predicting and optimizing CO₂ absorption performance in hybrid solvent systems.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"25 ","pages":"Article 101009"},"PeriodicalIF":7.1,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-22DOI: 10.1016/j.ceja.2025.101004
Jianyu Wang , Rachel A. Scullion , James Birbeck , Xiongwei Ni
Phosphatidylglycerol (PG) is a valuable product across pharmaceuticals, cosmetics and food industries, the conventional phospholipase D (PLD) syntheses however require organic solvents and very long reaction times to reach 50–74 % yield at millilitre scale. The novelty of this study is that we have developed a solvent-free, fully aqueous synthesis route of PG using PLD-catalysed transphosphatidylation of phosphatidylcholine (PC) with glycerol in a 250 mL oscillatory baffled reactor (OBR). By optimising temperature, PLD concentration, glycerol-to-PC ratio and mixing, we achieved 63.5 % PG conversion within 20 min with no detectable byproduct. Time-resolved kinetic analysis has revealed a three-phase mechanism in this reaction: an initial Michaelis–Menten behaviour, followed by product inhibition and eventual enzyme deactivation. We have then developed a multi-parameter kinetic model integrating intrinsic enzyme kinetics with operational variables, enabling quantitative predictions of reaction concentration, conversion and selectivity at high confidence level (R2>0.95). Coupling the green, solvent-free process with reactor intensification and mechanistic modelling establishes a scalable framework for PG manufacture and offers regulatory and sustainability advantages by avoiding volatile organic solvents and simplifying downstream processing.
{"title":"Experimental and kinetic insights into enzymatic synthesis of phosphatidylglycerol in an oscillatory baffled reactor","authors":"Jianyu Wang , Rachel A. Scullion , James Birbeck , Xiongwei Ni","doi":"10.1016/j.ceja.2025.101004","DOIUrl":"10.1016/j.ceja.2025.101004","url":null,"abstract":"<div><div>Phosphatidylglycerol (PG) is a valuable product across pharmaceuticals, cosmetics and food industries, the conventional phospholipase D (PLD) syntheses however require organic solvents and very long reaction times to reach 50–74 % yield at millilitre scale. The novelty of this study is that we have developed a solvent-free, fully aqueous synthesis route of PG using PLD-catalysed transphosphatidylation of phosphatidylcholine (PC) with glycerol in a 250 mL oscillatory baffled reactor (OBR). By optimising temperature, PLD concentration, glycerol-to-PC ratio and mixing, we achieved 63.5 % PG conversion within 20 min with no detectable byproduct. Time-resolved kinetic analysis has revealed a three-phase mechanism in this reaction: an initial Michaelis–Menten behaviour, followed by product inhibition and eventual enzyme deactivation. We have then developed a multi-parameter kinetic model integrating intrinsic enzyme kinetics with operational variables, enabling quantitative predictions of reaction concentration, conversion and selectivity at high confidence level (R2>0.95). Coupling the green, solvent-free process with reactor intensification and mechanistic modelling establishes a scalable framework for PG manufacture and offers regulatory and sustainability advantages by avoiding volatile organic solvents and simplifying downstream processing.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"25 ","pages":"Article 101004"},"PeriodicalIF":7.1,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-22DOI: 10.1016/j.ceja.2025.101005
Saleem Nasir , Abdallah S. Berrouk , Asim Aamir
The remarkable capacity of artificial neural networks to simulate complex and nonlinear mathematical phenomena, particularly in domains such as thermal engineering and nanotechnology, is a primary reason for their widespread application. Thus, ANNs provide a flexible computational framework that can be applied in a wide range of fields, including fluid mechanics, biological sciences, and computational biology. In this work, the boundary-layer flow and heat transfer properties of a magnetized Powell-Eyring nanofluid containing microorganisms across a bidirectional stretchable sheet are analyzed using a computational ANN paradigm. The model considers the combined effects of Darcy-Forchheimer, thermal radiation, and internal heat generation, as well as modified CattaneoChristov heat and mass flux, magnetohydrodynamics (MHD), and activation energy. The governing system of equations is reduced to a set of nonlinear ordinary differential equations through a similarity transformation. The BVP4C solver in MATLAB is then used to numerically solve the ODEs. An Artificial Neural Network Backpropagation Levenberg–Marquardt technique (ANN-BPLMT) customized for the radiative Powell-Eyring nanofluid system is trained using the resultant numerical solutions as a reference dataset. The numerical solutions are then approximated under various parametric settings by training, testing, and validating the LMT-ABPNN. Performance indicators, including mean squared error, fitness curves, error histograms, and statistical transition analyses, are used to validate models. The results reveal that the numerical reference data and the ANN predictions correspond extremely well. The high accuracy, robustness, and predictive reliability of the suggested LMT-ABPNN framework for simulating radiative Powell-Eyring nanofluid flows are confirmed by the low MSE and minimal absolute error, both of which approach zero.
{"title":"Modeling the Effectiveness of Chemical Reactions in Magnetized Nanofluids: The Influence of Activation Energy and CattaneoChristov Transport Phenomena","authors":"Saleem Nasir , Abdallah S. Berrouk , Asim Aamir","doi":"10.1016/j.ceja.2025.101005","DOIUrl":"10.1016/j.ceja.2025.101005","url":null,"abstract":"<div><div>The remarkable capacity of artificial neural networks to simulate complex and nonlinear mathematical phenomena, particularly in domains such as thermal engineering and nanotechnology, is a primary reason for their widespread application. Thus, ANNs provide a flexible computational framework that can be applied in a wide range of fields, including fluid mechanics, biological sciences, and computational biology. In this work, the boundary-layer flow and heat transfer properties of a magnetized Powell-Eyring nanofluid containing microorganisms across a bidirectional stretchable sheet are analyzed using a computational ANN paradigm. The model considers the combined effects of Darcy-Forchheimer, thermal radiation, and internal heat generation, as well as modified CattaneoChristov heat and mass flux, magnetohydrodynamics (MHD), and activation energy. The governing system of equations is reduced to a set of nonlinear ordinary differential equations through a similarity transformation. The BVP4C solver in MATLAB is then used to numerically solve the ODEs. An Artificial Neural Network Backpropagation Levenberg–Marquardt technique (ANN-BPLMT) customized for the radiative Powell-Eyring nanofluid system is trained using the resultant numerical solutions as a reference dataset. The numerical solutions are then approximated under various parametric settings by training, testing, and validating the LMT-ABPNN. Performance indicators, including mean squared error, fitness curves, error histograms, and statistical transition analyses, are used to validate models. The results reveal that the numerical reference data and the ANN predictions correspond extremely well. The high accuracy, robustness, and predictive reliability of the suggested LMT-ABPNN framework for simulating radiative Powell-Eyring nanofluid flows are confirmed by the low MSE and minimal absolute error, both of which approach zero.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"25 ","pages":"Article 101005"},"PeriodicalIF":7.1,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-21DOI: 10.1016/j.ceja.2025.101002
Wenchao Chen , Jia Zhi , Xiaoying Jiang, Renren Bai
Chiral phosphonium salt catalysis has emerged as a crucial component of asymmetric ion-pairing catalysis, demonstrating growing significance in the field of asymmetric catalytic synthesis. With the unique structural features and outstanding catalytic properties, chiral phosphonium salts can excel in a wide variety of asymmetric reactions, exhibiting excellent catalytic performance and remarkable stereocontrol. Researchers have successfully developed various types of chiral phosphonium salt catalysts, including 1,1′-binaphthyl-based phosphonium salts, chiral diamine-derived P-spirotetraaminophosphonium salts, amino acid-derived bifunctional phosphonium salts, and peptide-based multifunctional phosphonium salts. This review comprehensively surveys two decades of advances in chiral phosphonium ion-pairing catalysis, encompassing the rational design strategies, synthetic approaches, wide-ranging utility in various asymmetric reactions, as well as practical applications in the construction of diverse chiral skeletons. Meanwhile, we delve into the catalytic mechanisms in multiple asymmetric reactions. Drawing upon a thorough synthesis of the present landscape, we additionally present a forward-looking perspective on the trajectory of this field’s future development. The ultimate goal is to spark innovative research endeavors, promote the creation of chiral phosphonium salts with novel skeletal frameworks, and the development of new catalytic systems, thereby further advancing the widespread application and vigorous development of chiral phosphonium ion-pairing catalysis.
{"title":"Chiral phosphonium ion-pairing catalysis: From structural innovation to asymmetric synthesis","authors":"Wenchao Chen , Jia Zhi , Xiaoying Jiang, Renren Bai","doi":"10.1016/j.ceja.2025.101002","DOIUrl":"10.1016/j.ceja.2025.101002","url":null,"abstract":"<div><div>Chiral phosphonium salt catalysis has emerged as a crucial component of asymmetric ion-pairing catalysis, demonstrating growing significance in the field of asymmetric catalytic synthesis. With the unique structural features and outstanding catalytic properties, chiral phosphonium salts can excel in a wide variety of asymmetric reactions, exhibiting excellent catalytic performance and remarkable stereocontrol. Researchers have successfully developed various types of chiral phosphonium salt catalysts, including 1,1′-binaphthyl-based phosphonium salts, chiral diamine-derived P-spirotetraaminophosphonium salts, amino acid-derived bifunctional phosphonium salts, and peptide-based multifunctional phosphonium salts. This review comprehensively surveys two decades of advances in chiral phosphonium ion-pairing catalysis, encompassing the rational design strategies, synthetic approaches, wide-ranging utility in various asymmetric reactions, as well as practical applications in the construction of diverse chiral skeletons. Meanwhile, we delve into the catalytic mechanisms in multiple asymmetric reactions. Drawing upon a thorough synthesis of the present landscape, we additionally present a forward-looking perspective on the trajectory of this field’s future development. The ultimate goal is to spark innovative research endeavors, promote the creation of chiral phosphonium salts with novel skeletal frameworks, and the development of new catalytic systems, thereby further advancing the widespread application and vigorous development of chiral phosphonium ion-pairing catalysis.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"25 ","pages":"Article 101002"},"PeriodicalIF":7.1,"publicationDate":"2025-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-19DOI: 10.1016/j.ceja.2025.101000
Dale Jason Panio Gamorot, Angelo Earvin Sy Choi
Microplastics (MPs) have emerged as significant environmental pollutants, raising concerns due to their persistence, widespread distribution, and potential impacts on ecological and human health. Oxidation processes increase the sorptive capacity of MPs by adding oxygen-containing functional groups and creating rougher, more reactive surfaces. This review focuses on how these oxidation-induced changes modify the adsorption of pharmaceuticals and personal care products (PPCPs). Oxidized MPs exhibit altered surface polarity and charge, strengthening key interactions such as hydrophobic partitioning, hydrogen bonding, and electrostatic attraction. Environmental conditions, including pH, salinity, and the degree of aging, further influence these mechanisms. Hydrophilic PPCPs generally show stronger affinity for oxidized MPs because their functional groups interact more effectively with the modified surfaces. Variations in pH and salinity can reduce sorption by shifting surface charge and disrupting electrostatic forces. This review demonstrates that oxidation-driven surface transformations are central to understanding how MPs adsorb, transport, and potentially release PPCPs in aquatic environments, shaping their environmental behavior and associated risks.
{"title":"Multi-mechanistic adsorption of pharmaceuticals and personal care products on oxidized microplastics: Oxidation processes, mechanisms, and environmental implications","authors":"Dale Jason Panio Gamorot, Angelo Earvin Sy Choi","doi":"10.1016/j.ceja.2025.101000","DOIUrl":"10.1016/j.ceja.2025.101000","url":null,"abstract":"<div><div>Microplastics (MPs) have emerged as significant environmental pollutants, raising concerns due to their persistence, widespread distribution, and potential impacts on ecological and human health. Oxidation processes increase the sorptive capacity of MPs by adding oxygen-containing functional groups and creating rougher, more reactive surfaces. This review focuses on how these oxidation-induced changes modify the adsorption of pharmaceuticals and personal care products (PPCPs). Oxidized MPs exhibit altered surface polarity and charge, strengthening key interactions such as hydrophobic partitioning, hydrogen bonding, and electrostatic attraction. Environmental conditions, including pH, salinity, and the degree of aging, further influence these mechanisms. Hydrophilic PPCPs generally show stronger affinity for oxidized MPs because their functional groups interact more effectively with the modified surfaces. Variations in pH and salinity can reduce sorption by shifting surface charge and disrupting electrostatic forces. This review demonstrates that oxidation-driven surface transformations are central to understanding how MPs adsorb, transport, and potentially release PPCPs in aquatic environments, shaping their environmental behavior and associated risks.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"25 ","pages":"Article 101000"},"PeriodicalIF":7.1,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-19DOI: 10.1016/j.ceja.2025.101003
Boyoung Song , Nadine Kabengi , Jackson Geary , Dorina F. Sava Gallis , Kevin Leung , Anastasia G. Ilgen
Zirconium(IV)-based metal-organic framework (MOF) MOF-808 and pyrazole-functionalized MOF-808 were investigated for the selective adsorption of Mn2+, Co2+, and Ni2+, the key components of lithium-ion battery cathodes. Batch adsorption experiments were conducted to assess selectivity for each metal, while flow microcalorimetry was employed to assess thermodynamic signatures of adsorption. To understand molecular interactions between the MOFs and adsorbing metal ions we utilized attenuated total reflectance Fourier transform infrared (ATR-FTIR) and Ni K-edge extended X-ray absorption fine structure (EXAFS) spectroscopic analyses. For MOF-808, the adsorption followed Mn2+ > Co2+ ≈ Ni2+trend, following the changes in hydration energy of the examined ions. Pyrazole functionalization altered this trend by increasing the affinity of MOF-808-pyrazole for Ni only, while resulting in similar affinity for the other two ions (Ni2+ > Mn2+ > Co2+). Microcalorimetry revealed that Mn2+ adsorption on both MOFs was exothermic, whereas Co2+ and Ni2+ adsorption was endothermic. Importantly, ATR-FTIR spectra showed peak growth and vibrational band shifts assigned to direct interactions of Co2+ and Ni2+ with pyrazole groups, indicating that Ni2+ coordinates to N in pyrazole. Additionally, the shell-by-shell fitting of EXAFS data also indicated that some Ni2+ adsorption took place at the Zr oxo-cluster sites. These results demonstrate that metal adsorption by MOF-808 and MOF-808-pyrazole is metal-specific, governed by both hydration energy and the electrostatic interactions described by the Irving-Williams series. Importantly, pyrazole functionalization enables selective Ni2+ capture, offering new insights into ligand design within MOFs for target element separation from mixed aqueous systems.
{"title":"Adsorption of Mn2+, Co2+, and Ni2+ in MOF-808 and pyrazole-modified MOF-808: Selectivity trends assessed with microcalorimetry and spectroscopic analysis","authors":"Boyoung Song , Nadine Kabengi , Jackson Geary , Dorina F. Sava Gallis , Kevin Leung , Anastasia G. Ilgen","doi":"10.1016/j.ceja.2025.101003","DOIUrl":"10.1016/j.ceja.2025.101003","url":null,"abstract":"<div><div>Zirconium(IV)-based metal-organic framework (MOF) MOF-808 and pyrazole-functionalized MOF-808 were investigated for the selective adsorption of Mn<sup>2+</sup>, Co<sup>2+</sup>, and Ni<sup>2+</sup>, the key components of lithium-ion battery cathodes. Batch adsorption experiments were conducted to assess selectivity for each metal, while flow microcalorimetry was employed to assess thermodynamic signatures of adsorption. To understand molecular interactions between the MOFs and adsorbing metal ions we utilized attenuated total reflectance Fourier transform infrared (ATR-FTIR) and Ni K-edge extended X-ray absorption fine structure (EXAFS) spectroscopic analyses. For MOF-808, the adsorption followed Mn<sup>2+</sup> > Co<sup>2+</sup> ≈ Ni<sup>2+</sup>trend, following the changes in hydration energy of the examined ions. Pyrazole functionalization altered this trend by increasing the affinity of MOF-808-pyrazole for Ni only, while resulting in similar affinity for the other two ions (Ni<sup>2+</sup> > Mn<sup>2+</sup> > Co<sup>2+</sup>). Microcalorimetry revealed that Mn<sup>2+</sup> adsorption on both MOFs was exothermic, whereas Co<sup>2+</sup> and Ni<sup>2+</sup> adsorption was endothermic. Importantly, ATR-FTIR spectra showed peak growth and vibrational band shifts assigned to direct interactions of Co<sup>2+</sup> and Ni<sup>2+</sup> with pyrazole groups, indicating that Ni<sup>2+</sup> coordinates to N in pyrazole. Additionally, the shell-by-shell fitting of EXAFS data also indicated that some Ni<sup>2+</sup> adsorption took place at the Zr oxo-cluster sites. These results demonstrate that metal adsorption by MOF-808 and MOF-808-pyrazole is metal-specific, governed by both hydration energy and the electrostatic interactions described by the Irving-Williams series. Importantly, pyrazole functionalization enables selective Ni<sup>2+</sup> capture, offering new insights into ligand design within MOFs for target element separation from mixed aqueous systems.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"25 ","pages":"Article 101003"},"PeriodicalIF":7.1,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-19DOI: 10.1016/j.ceja.2025.100999
S. Fajardo , C.M. Sánchez-Sánchez , P. Ocón , J.L. Rodríguez , E. Pastor
The development of durable, low-cost electrocatalysts for the oxygen reduction reaction (ORR) is crucial to the advancement of Zn–air batteries. Here different zeolitic imidazolium framework (ZIF-67)-based hybrid electrocatalysts supported on reduced graphene oxide (rGO) are evaluated (ZIF/rGO, ZIF/SN-rGO, and MnZIF/SN-rGO) for the ORR in alkaline media and gel Zn–air batteries. A key feature of this work is the application of pumped-micropipette delivery/substrate-collection (pumped-MD/SC) mode of scanning electrochemical microscopy (SECM) in alkaline electrolyte, a mode rarely explored and, to the best of our knowledge, not previously reported for ORR mapping under these conditions. Pumped-MD/SC SECM current maps unambiguously identify MnZIF/SN-rGO as the most active electrocatalytic material, showing the lowest overpotential, as well as exhibiting the highest limiting current and negligible H₂O₂ yield evaluated by rotating ring-disc electrode (RRDE). The catalyst retains its activity after 1000 potential cycles under ORR conditions, evidencing excellent durability. When implemented as the air-cathode in a non-rechargeable gel Zn–air battery, MnZIF/SN-rGO delivers a specific capacity of 803 mAh g-¹Zn and a specific energy of 1119 mWh g-¹Zn, sustaining a stable discharge > 1.4 V for 32 h at 10 mA cm-². These metrics surpass most gel-electrolyte Zn–air batteries reported under comparable conditions, highlighting the practical relevance of the catalyst. The combined SECM–battery approach links spatially resolved ORR activity with device-level performance, providing mechanistic insight and a robust benchmark for future cathode design. Overall, MnZIF/SN-rGO emerges as a highly durable and efficient cathode for gel Zn–air batteries.
开发耐用、低成本的氧还原反应电催化剂对锌空气电池的发展至关重要。本文研究了还原氧化石墨烯(rGO)负载的不同分子筛基咪唑骨架(ZIF-67)杂化电催化剂(ZIF/rGO、ZIF/SN-rGO和MnZIF/SN-rGO)在碱性介质和凝胶zn -空气电池中的ORR性能。这项工作的一个关键特征是在碱性电解质中应用了扫描电化学显微镜(SECM)的泵送-微移液管输送/底物收集(泵送- md /SC)模式,这是一种很少探索的模式,据我们所知,以前没有报道过在这些条件下进行ORR测绘。泵送md /SC SECM电流图明确地将MnZIF/SN-rGO确定为最活跃的电催化材料,显示出最低的过电位,以及最高的极限电流和可忽略不计的H₂O₂产率。在ORR条件下,该催化剂在1000次潜在循环后仍保持其活性,具有优异的耐久性。作为不可再充电凝胶锌-空气电池的空气阴极,MnZIF/SN-rGO提供803 mAh g-¹Zn的比容量和1119 mWh g-¹Zn的比能量,在10 mA cm-²下保持1.4 V 32小时的稳定放电。这些指标超过了在可比条件下报道的大多数凝胶电解质锌空气电池,突出了催化剂的实际相关性。组合式secm -电池方法将空间分解的ORR活动与设备级性能联系起来,为未来的阴极设计提供了机制见解和可靠的基准。总的来说,MnZIF/SN-rGO是凝胶锌空气电池的一种高度耐用和高效的阴极。
{"title":"Manganese enriched zeolitic imidazole framework-67 and doped reduced graphene oxide hybrid electrocatalyst applied in alkaline Zn-air battery","authors":"S. Fajardo , C.M. Sánchez-Sánchez , P. Ocón , J.L. Rodríguez , E. Pastor","doi":"10.1016/j.ceja.2025.100999","DOIUrl":"10.1016/j.ceja.2025.100999","url":null,"abstract":"<div><div>The development of durable, low-cost electrocatalysts for the oxygen reduction reaction (ORR) is crucial to the advancement of Zn–air batteries. Here different zeolitic imidazolium framework (ZIF-67)-based hybrid electrocatalysts supported on reduced graphene oxide (rGO) are evaluated (ZIF/rGO, ZIF/SN-rGO, and MnZIF/SN-rGO) for the ORR in alkaline media and gel Zn–air batteries. A key feature of this work is the application of pumped-micropipette delivery/substrate-collection (pumped-MD/SC) mode of scanning electrochemical microscopy (SECM) in alkaline electrolyte, a mode rarely explored and, to the best of our knowledge, not previously reported for ORR mapping under these conditions. Pumped-MD/SC SECM current maps unambiguously identify MnZIF/SN-rGO as the most active electrocatalytic material, showing the lowest overpotential, as well as exhibiting the highest limiting current and negligible H₂O₂ yield evaluated by rotating ring-disc electrode (RRDE). The catalyst retains its activity after 1000 potential cycles under ORR conditions, evidencing excellent durability. When implemented as the air-cathode in a non-rechargeable gel Zn–air battery, MnZIF/SN-rGO delivers a specific capacity of 803 mAh g<sup>-</sup>¹<sub>Zn</sub> and a specific energy of 1119 mWh g<sup>-</sup>¹<sub>Zn</sub>, sustaining a stable discharge > 1.4 V for 32 h at 10 mA cm<sup>-</sup>². These metrics surpass most gel-electrolyte Zn–air batteries reported under comparable conditions, highlighting the practical relevance of the catalyst. The combined SECM–battery approach links spatially resolved ORR activity with device-level performance, providing mechanistic insight and a robust benchmark for future cathode design. Overall, MnZIF/SN-rGO emerges as a highly durable and efficient cathode for gel Zn–air batteries.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"25 ","pages":"Article 100999"},"PeriodicalIF":7.1,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}