Forecasting the multicomponent adsorption of nimesulide and paracetamol through artificial neural network

Pauletto, Paola S.; Lütke, Sabrina F.; Dotto, Guilherme L.; Salau, Nina Paula Gonçalves

doi:10.1016/j.cej.2020.127527

Cited by 61 publications

(27 citation statements)

References 63 publications

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“…Pollution of wastewater by pharmaceuticals has generated growing concern. The emerging pollutants are harmful to the environment and human health [1]. Some countries have even banned the marketing and use of some drugs, due to their hepatotoxic effects and gastrointestinal injuries [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…The emerging pollutants are harmful to the environment and human health [1]. Some countries have even banned the marketing and use of some drugs, due to their hepatotoxic effects and gastrointestinal injuries [1,2]. In the world, about 100,000 to 200,000 tons of antibiotics have been consumed and an expressive quantity of these compounds, around 30 to 90% is not entirely metabolized in human and are excreted as active compounds [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…In the world, about 100,000 to 200,000 tons of antibiotics have been consumed and an expressive quantity of these compounds, around 30 to 90% is not entirely metabolized in human and are excreted as active compounds [3,4]. In general, the majority of drugs have high solubility in water and are not completely removed in conventional water treatment plants [1,2,5,6]. One of these contaminants is the Nimesulide, which is an anti-inflammatory and is generally prescribed to reduce fever and pain related to rheumatoid arthritis [7].…”

Section: Introductionmentioning

confidence: 99%

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Development and Characterization of Activated Carbon from Olive Pomace: Experimental Design, Kinetic and Equilibrium Studies in Nimesulide Adsorption

et al. 2021

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The lack of adequate treatment for the removal of pollutants from domestic, hospital and industrial effluents has caused great environmental concern. Therefore, there is a need to develop materials that have the capacity to treat these effluents. This work aims to develop and characterize an activated charcoal from olive pomace, which is an agro-industrial residue, for adsorption of Nimesulide in liquid effluent and to evaluate the adsorption kinetics and equilibrium using experimental design. The raw material was oven dried at 105 °C for 24 h, ground, chemically activated in a ratio of 1:0.8:0.2 of olive pomace, zinc chloride and calcium hydroxide and thermally activated by pyrolysis in a reactor of stainless steel at 550 °C for 30 min. The activated carbon was characterized by Fourier Transform Infrared (FTIR) spectroscopy, X-ray Diffractometry (XRD), Brunauer, Emmett and Teller (BET) method, Thermogravimetric Analysis (TGA), Scanning Electron Microscopy (SEM), density and zero charge potential analysis. The surface area obtained was 650.9 m2 g−1. The kinetic and isothermal mathematical models that best described the adsorption were PSO and Freundlich and the highest adsorption capacity obtained was 353.27 mg g−1. The results obtained showed the good performance of activated carbon produced from olive pomace as an adsorbent material and demonstrated great potential for removing emerging contaminants such as Nimesulide.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development and Characterization of Activated Carbon from Olive Pomace: Experimental Design, Kinetic and Equilibrium Studies in Nimesulide Adsorption

et al. 2021

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“…9,10 ANNs are applied successfully to model the non-linear behaviour between dependent and independent variables without knowing any previous details about the physical process in complex systems. 7,[11][12][13][14] However, to the best of our knowledge, very few studies are devoted to the application of LS-SVM or SVM approach to model the competitive adsorption of heavy metals. 15,16 Therefore, the major motivation behind this study was to assess the predictability power of three modelling approaches {ANN, SVM, and LS-SVM} in modelling the nonlinear relationships between the removal capacity from aqueous solution of five ternary heavy metal systems on different adsorbents and the independent parameters.…”

Section: Introductionmentioning

confidence: 99%

Ternary Multicomponent Adsorption Modelling Using ANN, LS-SVR, and SVR Approach – Case Study

Yettou

Laidi

Bey

et al. 2021

Kemija U Industriji

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The aim of this work was to develop three artificial intelligence-based methods to model the ternary adsorption of heavy metal ions {Pb 2+ , Hg 2+ , Cd 2+ , Cu 2+ , Zn 2+ , Ni 2+ , Cr 4+ } on different adsorbates {activated carbon, chitosan, Danish peat, Heilongjiang peat, carbon sunflower head, and carbon sunflower stem). Results show that support vector regression (SVR) performed slightly better, more accurate, stable, and more rapid than least-square support vector regression (LS-SVR) and artificial neural networks (ANN). The SVR model is highly recommended for estimating the ternary adsorption kinetics of a multicomponent system.

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“…The adsorption process has been widely applied in the removal of emerging contaminants from effluents due to its several advantages (Streit et al 2020), such as efficiency, flexibility, low cost, simplicity in application, and low energy consumption (Ahmed 2017;Dotto and McKay 2020). Regarding the adsorption of NM in aqueous solutions, it is worth mentioning Reis et al (2016), Jauris et al (2017), Saucier et al (2015, Pauletto et al (2020) that used adsorbent materials from sewage sludge, graphene, cocoa shell, and commercial activated carbon, respectively.…”

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confidence: 99%

High-performance Removal of Anti-inflammatory Using Activated Carbon from Water Treatment Plant Sludge: Fixed-bed and Batch Studies

et al. 2021

Preprint

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Activated carbon from water treatment sludge (WASC) was employed as adsorbent material to remove the anti-inflammatory Nimesulide (NM) from aqueous solutions. NM adsorption was performed in batch and fixed-bed systems, evaluating pH, adsorbent dosage, adsorption kinetics, equilibrium isotherm, continuous adsorption, and simulated effluents. The kinetic data were best fitted to the Elovich model and Intraparticle diffusion reaching the equilibrium at 120 min. Langmuir model presented a better description of the equilibrium data with the maximum adsorption capacity (qmax) of 274.99 mg g− 1 from NM adsorption by WASC. The adsorbent was tested in two simulated hospital effluents and proved to be an excellent adsorbent for removing NM from an aqueous solution with the presence of salts, sugars, and other inorganics. Finally, WASC was applied in fixed-bed NM adsorption obtaining the adsorption capacity of 217.28 mg g− 1.

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Forecasting the multicomponent adsorption of nimesulide and paracetamol through artificial neural network

Cited by 61 publications

References 63 publications

Development and Characterization of Activated Carbon from Olive Pomace: Experimental Design, Kinetic and Equilibrium Studies in Nimesulide Adsorption

Development and Characterization of Activated Carbon from Olive Pomace: Experimental Design, Kinetic and Equilibrium Studies in Nimesulide Adsorption

Ternary Multicomponent Adsorption Modelling Using ANN, LS-SVR, and SVR Approach – Case Study

High-performance Removal of Anti-inflammatory Using Activated Carbon from Water Treatment Plant Sludge: Fixed-bed and Batch Studies

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