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Effect of pH, Concentration, Contact time, Temperature, and Adsorbent Dosage Operational Parameters on Adsorption of Cu(II) ions onto Bamboo-nZVI

Effect of pH, Concentration, Contact time, Temperature, and ...

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2024 International Conference on Science, engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Dada, Adewumi O Felix, Latona Dayo Tokula, Blessing Enyojo Nath, Osasuwa Komolafe, Clement A. Timothy, Adekanye Dada, Olarewaju John, Ojediran Olusegun Solomon, Bello Olugbenga Adekola, Folahan A. Landmark University Industrial Chemistry Programme Department of Physical Sciences Kwara State P.M.B.1001 Omu-Aran Nigeria Osun State University Department of Chemical Sciences Osogbo Nigeria University of Mines and Technology Faculty of Engineering Department of Mechanical Engineering P.O.B. 237 West Africa Tarkwa03123 Ghana Landmark University Department of Agric & Biosystems Engineering Kwara State P.M.B.1001 Omu-Aran Nigeria Ladoke Akintola University of Technology Department of Pure and Applied Chemistry Kwara State Ogbomoso Nigeria University of Ilorin Department of Industrial Chemistry Kwara State P.M.B 1515 Iloirn Nigeria

ISBN: (纸本)9798350358155

This study investigated the effect of operational parameters on the adsorption of endocrine disruptive copper ions onto bamboo-supported iron nanoparticles. Five operational parameters understudied were the effects of pH (3 - 7), initial Cu(II) concentrations (20 - 100 mg/L), contact time (10 - 120 mins), temperature (298 - and adsorbent dosage). Percentage removal efficiency of 91.28% was achieved at pH 6 at optimum conditions. The study established that the effect of pH influenced the chemistry of adsorption, higher initial concentration enhanced the driving force providing equilibrium data for isotherm study, contact time depicts the rate and kinetics of the process, adsorbent dosage demonstrated the site of adsorption and temperature revealed the feasibility, spontaneity, and nature of the adsorption process. This study established the dependence and influence of both the quantity of adsorbed and removal efficiency on the operational parameters © 2024 IEEE.

关键词： Bamboo

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Predictive control of activated sludge plants to supply nitrogen for optimal crop growth

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IFAC-PapersOnLine 2021年第3期54卷 200-205页

作者： Otacílio B.L. Neto Antoine Haddon Farouk Aichouche Jerome Harmand Michela Mulas Francesco Corona Postgraduate Programme in Teleinformatics Engineering Federal University of Ceará Brazil INRAE Univ Montpellier LBE Narbonne France School of Chemical Engineering Aalto University Finland

We report the preliminary results of a feasibility study in which we investigate the possibility to operate a common class of activated sludge plants to produce effluent wastewater of varying quality for crop irrigation. Firstly, a nitrogen reference trajectory is computed as solution to a higher-level optimal control problem that aims at maximizing plant biomass in a crop growth system. We then study how to control the treatment plant with a zero-offset predictive control strategy designed to operate the treatment process to supply nitrogen according to this optimal planning for crop growth. We show how an ad hoc tuning of the predictive controller allows to define alternative policies that favour the manipulation of different forms of nitrogen in the treatment plant. We show that the designed controllers are only partially capable to operate the treatment plant to meet the nitrogen demand, when subjected to typical municipal wastewater influent conditions. However, zero-offset can be achieved under constant influent conditions. We analyse the performance of the controller in terms of tracking accuracy and operational energy.

关键词： Model predictive control optimal control activated sludge process crop growth

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Control of Microplastics and Nanoplastics Discharge via Biochar-Based Filtration: Optimization Using Central Composite Design (CCD) and Identification of Column Fouling Mechanism

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Environmental Quality Management 2025年第4期34卷

作者： Hanif, Muhammad Adli Ibrahim, Naimah Dahalan, Farrah Aini Ali, Umi Fazara Md. Azhari, Ayu Wazira Hasan, Masitah Lutpi, Nabilah Aminah Isa, Mohamed Hasnain Faculty of Civil Engineering and Technology Universiti Malaysia Perlis Perlis Arau Malaysia Centre of Excellence for Water Research and Environmental Sustainability Growth (WAREG) Universiti Malaysia Perlis Perlis Arau Malaysia Faculty of Chemical Engineering and Technology Universiti Malaysia Perlis Perlis Arau Malaysia Civil Engineering Programme Area Faculty of Engineering Universiti Teknologi Brunei Bandar Seri Begawan Brunei Darussalam

Microplastics (MPs) and nanoplastics (NPs) are emerging aquatic pollutants of significant environmental concern due to their pervasive hazards. Filtration using filter media is a common approach for mitigating MP and NP contamination;however, the optimization of process parameters and the underlying column fouling mechanisms remains insufficiently explored. This study investigates the optimization of MP and NP removal using surface-engineered biochar in a continuous-flow column system via response surface methodology (RSM) employing central composite design (CCD). Four operating parameters were evaluated: pH (3–11), MP and NP concentration (0.01–0.09 g/L), flow rate (5–9 mL/min), and biochar bed depth (5–15 cm). Optimal removal efficiency was achieved at pH 7, MP and NP concentration of 0.01 g/L, 7 mL/min flow rate, and 10 cm biochar bed depth, yielding removal efficiencies of 93.75% (measured by turbidity method) and 93.07% (estimated by gravimetric method). Analysis of variance (ANOVA) confirmed the model's significance, with a high coefficient of determination (R²) observed between predicted and actual data. All tested parameters and two interacting parameters, (i) concentration-flow rate and (ii) flow rate-biochar bed depth, significantly influenced MP and NP removal efficiency. Prolonged operation under optimal conditions induced fouling of biochar-packed bed, and an evaluation using Hermia's model, assuming uniform bed porosity and filtration as the main removal mechanism, indicated the presence of standard blocking, intermediate blocking, and cake filtration as primary fouling mechanisms. This study highlights the potential of surface-engineered biochar as a promising filter media for efficient MP and NP removal while providing insights into the column fouling dynamics. © 2025 Wiley Periodicals LLC.

关键词： biochar central composite design filtration Hermia's fouling model microplastics nanoplastics optimization response surface methodology

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Isotherm and Statistical Validity Modelings of Adsorption of Endocrine Disruptive Cr(VI) onto Calcinated Earthworm Cast

Isotherm and Statistical Validity Modelings of Adsorption of...

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2023 International Conference on Science, engineering and Business for Sustainable Development Goals, SEB-SDG 2023

作者： Dada, Adewumi O. Adediran, Gabriel O. Dada Fehintoluwa, E. Aremu Charity, O. Adewumi, Olarewaju D. Ojediran, John Tokula, Blessing E. Olusanya, Samuel O. Landmark University Industrial Chemistry Programme Department of Physical Sciences Kwara State Omu Aran Nigeria Ajayi Crowther University Department of Chemical Sciences Oyo State Nigeria College of Agricultural Science Landmark University Kwara State Nigeria Nigerian Stored Produce Research Institute Ilorin Nigeria Landmark University Department of Agric and Biosystem Engineering Omu Aran Kwara State Nigeria Federal University Industrial Chemistry Ekiti State Nigeria

ISBN: (纸本)9798350324785

Heavy metals discharge by diverse anthropogenic activities has been identified to be hazardous and pose dangerous health effects and environmental challenges. Adsorption is an alternative wastewater treatment technique used in the removal of these non-biodegradable toxic wastes from water. This study focused on isotherm and statistical validity modeling of adsorption of endocrine disruptive Chromium (VI) ions using Calcined Earthworm Cast (CEC). Equilibrium data obtained from the adsorption of Cr(VI) onto CEC by batch technique were fitted to eight isotherm models. Beyond the linear regression coefficient, the suitability of the isotherm model in describing the equilibrium data was established using nine statistical error validity models. Freundlich and Halsey isotherm models demonstrated the best fitting to the equilibrium data with R2 > 0.99, close agreement between exp and cal as well as lower range of values of statistical model. Langmuir monolayer capacity (Q max=129.37 mg/g) demonstrated superiority over those previously reported. Adsorption of Cr(VI) was by physisorption mechanism process based on the free energy value from DKR being less than 8 kJmol-1. Isotherm model parameters predicted the efficacy of CEC and its relevance in the design of wastewater treatment reactors. The performance and capacity of CEC are enlisted among sustainable materials for the treatment of endocrine disruptive compounds. © 2023 IEEE.

关键词： Heavy metals

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Brewers’ Spent Grain Proteins: The Extraction Method Determines the Functional Properties

SSRN

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SSRN 2023年

作者： Chin, Yi Ling Keppler, Julia Katharina Dinani, Somayeh Taghian Chen, Wei Ning Boom, Remko Laboratory of Food Process Engineering Wageningen University PO Box 17 Wageningen6700 AA Netherlands Food Science and Technology Programme Nanyang Technological University 62 Nanyang Drive 637459 Singapore School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University 62 Nanyang Drive 637459 Singapore

Brewers’ spent grains (BSG) are a major byproduct from the brewing industry that is currently discarded or used as animal feed. This study systematically explores the effects of BSG protein isolation methods using alkali, ethanol or enzymes on the protein’s structure, composition and function. Alkali-extracted proteins were partially unfolded and glutelin-rich while ethanol-extracted proteins were highly aggregated and hordein-rich. Enzymatic-assisted extraction resulted in low molecular weight peptides without distinct structural elements. These differences led to varied functional properties due to solubility differences. Hydrolysed proteins were completely soluble and showed good emulsifying properties with high antioxidant activity. Alkali-extracted and ethanol-extracted proteins were mostly insoluble but exhibited high water and oil holding capacities that enabled gelation. The results highlight that the extraction method should be carefully selected, as it not only influences the material composition, but also the structure and function of proteins, which in turn affects its potential for different applications. © 2023, The Authors. All rights reserved.

关键词： Proteins

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Economic data-enabled predictive control using machine learning

arXiv

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arXiv 2025年

作者： Yan, Mingxue Zhang, Xuewen Zhang, Kaixiang Li, Zhaojian Yin, Xunyuan Nanyang Environment and Water Research Institute Nanyang Technological University 1 CleanTech Loop 637141 Singapore Interdisciplinary Graduate Programme Nanyang Technological University 61 Nanyang Drive 637460 Singapore School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University 62 Nanyang Drive 637459 Singapore Department of Mechanical Engineering Michigan State University East LansingMI48824 United States

In this paper, we propose a convex data-based economic predictive control method within the framework of data-enabled predictive control (DeePC). Specifically, we use a neural network to transform the system output into a new state space, where the nonlinear economic cost function of the underlying nonlinear system is approximated using a quadratic function expressed by the transformed output in the new state space. Both the neural network parameters and the coefficients of the quadratic function are learned from open-loop data of the system. Additionally, we reconstruct constrained output variables from the transformed output through learning an output reconstruction matrix;this way, the proposed economic DeePC can handle output constraints explicitly. The performance of the proposed method is evaluated via a case study in a simulated chemical process. Copyright © 2025, The Authors. All rights reserved.

关键词： Predictive control systems

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Field assessment of coconut-based activated carbon systems for the treatment of herbicide contamination

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Chemosphere 2024年 349卷 140823页

作者： McGinley, John Healy, Mark G. Scannell, Shane Ryan, Paraic C. Harmon O'Driscoll, Jenny Mellander, Per-Erik Morrison, Liam Siggins, Alma Civil Engineering University of Galway Ireland Ryan Institute University of Galway Ireland Discipline of Civil Structural and Environmental Engineering School of Engineering University College Cork Ireland Environmental Research Institute University College Cork Cork Ireland Agricultural Catchments Programme Teagasc Environmental Research Centre Co. Wexford Johnstown Castle Ireland Earth and Ocean Sciences Earth and Life Sciences School of Natural Sciences University of Galway Ireland School of Biological and Chemical Sciences University of Galway Ireland

Once released into the environment, herbicides can move through soil or surface water to streams and groundwater. Filters containing adsorbent media placed in fields may be an effective solution to herbicide loss in the environment. However, to date, no study has investigated the use of adsorbent materials in intervention systems at field-scale, nor has any study investigated their optimal configuration. Therefore, the aim of this paper was to examine the efficacy of low-cost, coconut-based activated carbon (CAC) intervention systems, placed in streams and tributaries, for herbicide removal. Two configurations of interventions were investigated in two agricultural catchments and one urban area in Ireland: (1) filter bags and (2) filter bags fitted into polyethylene pipes. Herbicide sampling was conducted using Chemcatcher® passive sampling devices in order to identify trends in herbicide exceedances at the sites, and to quantifiably assess, compare, and contrast the efficiency of the two intervention configurations. While the Chemcatcher® passive sampling devices are capable of analysing eighteen different acid herbicides, only six different acid herbicides (2,4-D, clopyralid, fluroxypyr, MCPA, mecoprop and triclopyr) were ever detected within the three catchment areas, which were also the only acid herbicides used therein. The CAC was capable of complete herbicide removal, when the water flow was slow (0.5–1 m3 s−1), and the interventions spanned the width and depth of the waterway. Overall, the reduction in herbicide concentrations was better for the filter pipes than for the filter bags, with a 48% reduction in detections and a 37% reduction in exceedances across all the sampling sites for the filter pipe interventions compared to a 13% reduction in the number of detections and a 24% reduction in exceedances across all sampling sites for the filter bag interventions (p © 2023 The Authors

关键词： Water quality

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Data-driven Model Predictive Control of Nanoparticle Production in Modular Reactors

Data-driven Model Predictive Control of Nanoparticle Product...

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European Control Conference (ECC)

作者： Rohan Saswade Ganapavarapu Sai Tarun Nirav Bhatt Sridharakumar Narasimhan Department of Biotechnology and is a student of Interdisciplinary Dual Degree Programme in Cyber-Physical Systems Indian Institute of Technology Madras Chennai India Department of Chemical Engineering’ Indian Institute of Technology Madras Chennai India Department of Data Science and Artificial Intelligence and Biotechnology and Robert Bosch Centre for Data Science and Artificial Intelligence Indian Institute of Technology Madras Chennai India Department of Chemical Engineering and Robert Bosch Centre for Data Science and Artificial Intelligence Indian Institute of Technology Madras Chennai India

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

Microreactors are an essential part of modular chemical systems involved in the on-demand production of chemicals such as nanomaterials, pharmaceuticals, specialty chemicals, etc. Model-based nonlinear predictive control of microreactors is a challenging task due to the high online computational cost associated with developing and maintaining high-order first-principles nonlinear models. In this work, we propose a nonlinear data-driven model predictive control (NMPC) scheme for nanoparticle production in microreactors. In this paper, a non-linear Auto Regressive Exogenous Neural Network model (NARX-NN) is developed with the flow rates of the reactants as inputs and the peak value of the absorbance spectra (an indirect measure of the average size of nanoparticles) as output by performing a set of experiments in Corning Advanced-Flow TM Reactors (AFR). Typically, producing a new desired average size nanoparticle on-demand is done by manual changes in the flow rates of reactants. In this work, a nonlinear model predictive controller using the identified NARX-NN model is formulated to track a change in the set point, the peak value of the spectra. The formulated controller with the identified NARX-NN model is demonstrated via the simulation studies. It is shown that the proposed NMPC with the NARX-NN model performs well in different scenarios of silver nanoparticle production.

关键词： Silver Computational modeling Production Predictive models Size measurement Inductors Task analysis

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Kinetics and thermodynamics of oil extraction from South African hass avocados using hexane as a solvent

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South African Journal of chemical engineering 2021年 37卷 244-251页

作者： Mgoma, Shaun Thamsanqa Basitere, Moses Mshayisa, Vusi Vincent Bioresource Engineering Research Group (BioERG) Department of Chemical Engineering Cape Peninsula University of Technology South Africa Academic Support Programme for Engineering (ASPECT) Center for Higher Education Development University of Cape Town Rondebosch 7700 Cape Town South Africa Department of Food Science and Technology Cape Peninsula University of Technology P.O. Box 1906 Bellville 7535 South Africa

This study evaluated the yield, kinetic and thermodynamics parameters of the oil extraction process from South African Hass Avocados using Hexane as a solvent. The avocado oil was extracted through the solid-liquid process at different temperatures. The thermodynamic parameters that were evaluated and modelled in this study were studied under constant volume, pressure and temperature conditions during extraction experiments. The enthalpy, entropy and Gibbs free energy were the parameters studied. The extraction was done at four different temperatures 40 °C, 50 °C, 60 °C and 70 °C. The kinetic model found that the extraction reaction was first-order reaction and the increase in temperature increased the oil yield from 169.20 g/L at 40 °C to 210.73 g/L at 70 °C after 3 h of extraction. The activation energy found was E_a = 127.30 KJ/mol, the thermodynamic parameters under the transition theory at 70 °C were ∆S^≠ = 70.06 J/mol.K, ∆H^≠ = 124.44 KJ/mol, ∆G^≠ = -23.91 KJ/mol. The standard thermodynamic parameters of the process at 70 °C were ∆H = 0.09 KJ/mol, ∆S = 70.06 J/mol.K and ∆G = -7.19 KJ/mol. These indicated that the extraction of avocado oil is an irreversible reaction and the reaction is endothermic. Furthermore, it was proven that the reaction is spontaneous. © 2021 The Authors

关键词： Avocado oil Endothermic reaction Extraction Irreversible Kinetics Reaction rate Spontaneous

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Nimo@Amorphous-Al2o3 Nanocatalyst for Hydrodesulfurization Reactions: A Catalyst with Uniformly Dispersed Enhanced Type 2 Sites

SSRN

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SSRN 2023年

作者： Arora, Shalini Sivakumar, Sri Rashmi Department of Chemical Engineering Indian Institute of Technology Kanpur UP Kanpur208016 India Materials Science Programme Indian Institute of Technology Kanpur UP Kanpur208016 India DST Thematic Unit of Excellence on Soft Nanofabrication Centre for Environmental Science & Engineering Indian Institute of Technology Kanpur UP Kanpur208016 India

Herein, we report the enhanced Hydrodesulfurization (HDS) catalytic activity of ultrasmall NiMo supported on amorphous-Al2O3 (A-Al2O3) catalysts with enhanced type 2 sites. A-Al2O3 was chosen as support because it has lower surface energy, better physicochemical properties, and enhanced acidic sites than crystalline alumina phase. At 20% metal oxide composition, NiMo supported on A-Al2O3 catalyst showed weak metal-support interaction, higher sulfidation degree (80%) and NiMoS sites (19.3 x 1017 sites/mg) with optimum stacking degree (2.5), leading to 1.4 and 1.2 times more reaction rate constant and turn over frequency (TOF) respectively than wet impregnated NiMo catalysts supported on ℽ-Al2O3 catalysts. Further, Density Functional Theory (DFT) study supports the formation of higher degree of type 2 sites (by confirming weaker active metal interaction for A-Al2O3 surface than crystalline ℽ-Al2O3), which leads to increased HDS catalytic activity. © 2023, The Authors. All rights reserved.

关键词： Hydrodesulfurization

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