Abstract
This study aimed to assess the dynamic simulation models provided by Aspen adsorption (ASPAD) and artificial neural network (ANN) in understanding the adsorption behavior of atenolol (ATN) on gasified Glyricidia sepium woodchips activated carbon (GGSWAC) within fixed bed columns for wastewater treatment. The findings demonstrated that increasing the bed height from 1 to 3 cm extended breakthrough and exhaustion times while enhancing adsorption capacity. Conversely, higher initial ATN concentrations resulted in shorter breakthrough and exhaustion times but increased adsorption capacity. Elevated influent flow rates reduced breakthrough and exhaustion times while maintaining constant adsorption capacity. The ASPAD software demonstrated competence in accurately modeling the crucial exhaustion points. However, there is room for enhancement in forecasting breakthrough times, as it exhibited deviations ranging from 6.52 to 239.53% when compared to the actual experimental data. ANN models in both MATLAB and Python demonstrated precise predictive abilities, with the Python model (R2 = 0.985) outperforming the MATLAB model (R2 = 0.9691). The Python ANN also exhibited superior fitting performance with lower MSE and MAE. The most influential factor was the initial ATN concentration (28.96%), followed by bed height (26.39%), influent flow rate (22.43%), and total effluent time (22.22%). The findings of this study offer an extensive comprehension of breakthrough patterns and enable accurate forecasts of column performance.
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References
Abiodun OI, Jantan A, Omolara AE, Dada KV, Mohamed NAE, Arshad H (2018) State-of-the-art in artificial neural network applications: a survey. Heliyon 4(11):e00938. https://doi.org/10.1016/j.heliyon.2018.e00938
Agarwal A, Upadhyay U, Sreedhar I, Anitha KL (2022) Simulation studies of Cu(II) removal from aqueous solution using olive stone. Cleaner Mater 5:100128. https://doi.org/10.1016/j.clema.2022.100128
Ahmad AA, Din ATM, Yahaya NKEM, Karim J, Ahmad MA (2020a) Atenolol sequestration using activated carbon derived from gasified Glyricidia sepium. Arab J Chem 13(10):7544–7557. https://doi.org/10.1016/j.arabjc.2020.08.029
Ahmad AA, Ahmad MA, Md Ali UF, Khoo K (2023) Gasification char residues management : Assessing the characteristics for adsorption application. Arab J Chem 16(9):104993. https://doi.org/10.1016/j.arabjc.2023.104993
Ahmad M, Lee SS, Dou X, Mohan D, Sung J-K, Yang JE, Ok YS (2012) Effects of pyrolysis temperature on soybean stover- and peanut shell-derived biochar properties and TCE adsorption in water. Bioresour Technol 118:536–544. https://doi.org/10.1016/j.biortech.2012.05.042
Ahmad ZU, Yao L, Lian Q, Islam F, Zappi ME, Gang DD (2020b) The use of artificial neural network (ANN) for modeling adsorption of sunset yellow onto neodymium modified ordered mesoporous carbon. Chemosphere 256:127081
Alder AC, Schaffner C, Majewsky M, Klasmeier J, Fenner K (2010) Fate of β-blocker human pharmaceuticals in surface water: comparison of measured and simulated concentrations in the Glatt Valley Watershed. Switzerland Water Res 44(3):936–948. https://doi.org/10.1016/j.watres.2009.10.002
Anisuzzaman SM, Bono A, Krishnaiah D, Tan YZ (2016) A study on dynamic simulation of phenol adsorption in activated carbon packed bed column. J King Saud Univ Eng Sci 28(1):47–55. https://doi.org/10.1016/j.jksues.2014.01.001
Ararem A, Bouzidi A, Mohamedi B, Bouras O (2014) Modeling of fixed-bed adsorption of Cs+ and Sr2+ onto clay–iron oxide composite using artificial neural network and constant–pattern wave approach. J Radioanal Nucl Chem 301(3):881–887. https://doi.org/10.1007/s10967-014-3200-4
Awual MR (2017) Novel nanocomposite materials for efficient and selective mercury ions capturing from wastewater. Chem Eng J 307:456–465. https://doi.org/10.1016/j.cej.2016.08.108
Awual MR (2019) Innovative composite material for efficient and highly selective Pb(II) ion capturing from wastewater. J Mol Liq 284:502–510. https://doi.org/10.1016/j.molliq.2019.03.157
Awual MR, Hasan MM, Eldesoky GE, Khaleque MA, Rahman MM, Naushad M (2016a) Facile mercury detection and removal from aqueous media involving ligand impregnated conjugate nanomaterials. Chem Eng J 290:243–251. https://doi.org/10.1016/j.cej.2016.01.038
Awual MR, Hasan MM, Khaleque MA, Sheikh MC (2016b) Treatment of copper(II) containing wastewater by a newly developed ligand based facial conjugate materials. Chem Eng J 288:368–376. https://doi.org/10.1016/j.cej.2015.11.108
Aziz F, El Achaby M, Lissaneddine A, Aziz K, Ouazzani N, Mamouni R, Mandi L (2020) Composites with alginate beads: a novel design of nano-adsorbents impregnation for large-scale continuous flow wastewater treatment pilots. Saudi J Biol Sci 27(10):2499–2508. https://doi.org/10.1016/j.sjbs.2019.11.019
Aziz F, Ouazzani N, Mandi L, Muhammad M, Uheida A (2017) Composite nanofibers of polyacrylonitrile/natural clay for decontamination of water containing Pb(II), Cu(II), Zn(II) and pesticides. Separation Sci Technol(Philadelphia) 52(1):58–70
Baaloudj O, Badawi AK, Kenfoud H, Benrighi Y, Hassan R, Nasrallah N, Assadi AA (2022a) Techno-economic studies for a pilot-scale Bi12TiO20 based photocatalytic system for pharmaceutical wastewater treatment: from laboratory studies to commercial-scale applications. J Water Process Eng 48(February):102847. https://doi.org/10.1016/j.jwpe.2022.102847
Baaloudj O, Kenfoud H, Badawi AK, Assadi AA, El Jery A, Assadi AA, Amrane A (2022b) Bismuth sillenite crystals as recent photocatalysts for water treatment and energy generation: a critical review. Catalysts 12(5). https://doi.org/10.3390/catal12050500
Baaloudj O, Nasrallah N, Kenfoud H, Bourkeb KW, Badawi AK (2023) Polyaniline/Bi12TiO20 hybrid system for cefixime removal by combining adsorption and photocatalytic degradation. ChemEngineering 7(1). https://doi.org/10.3390/chemengineering7010004
Badawi AK, Salama RS, Mostafa MMM (2023) Natural-based coagulants/flocculants as sustainable market-valued products for industrial wastewater treatment: a review of recent developments. RSC Adv 13(28):19335–19355. https://doi.org/10.1039/d3ra01999c
Bai S, Li J, Ding W, Chen S, Ya R (2022) Removal of boron by a modified resin in fixed bed column: breakthrough curve analysis using dynamic adsorption models and artificial neural network model. Chemosphere 296:134021. https://doi.org/10.1016/j.chemosphere.2022.134021
Bhattacharjee T, Rahman S, Deka D, Purkait MK, Chowdhury D, Majumdar G (2022) Synthesis and characterization of exfoliated beta-cyclodextrin functionalized graphene oxide for adsorptive removal of atenolol. Mater Chem Phys 288. https://doi.org/10.1016/j.matchemphys.2022.126413
Bhattacharya S, Das P, Bhowal A, Saha A (2021) Thermal, chemical and ultrasonic assisted synthesis of carbonized biochar and its application for reducing naproxen: batch and fixed bed study and subsequent optimization with response surface methodology (RSM) and artificial neural network (ANN). Surfaces and Interfaces 26(August):101378. https://doi.org/10.1016/j.surfin.2021.101378
Bhardwaj A, Di W, Wei J (2018) Deep learning essentials: your hands-on guide to the fundamentals of deep learning and neural network modeling. Packt Publishing Ltd.
Bing J, Hu C, Nie Y, Yang M, Qu J (2015) Mechanism of catalytic ozonation in Fe2O3/Al2O3@SBA-15 aqueous suspension for destruction of ibuprofen. Environ Sci Technol 49(3):1690–1697. https://doi.org/10.1021/es503729h
Chen C, Chen Z, Shen J, Kang J, Zhao S, Wang B, Chen Q, Li X (2021) Dynamic adsorption models and artificial neural network prediction of mercury adsorption by a dendrimer-grafted polyacrylonitrile fiber in fixed-bed column. J Clean Prod 310:127511. https://doi.org/10.1016/j.jclepro.2021.127511
Chen S, Bai S, Ya R, Du C, Ding W (2022) Continuous silicic acid removal in a fixed-bed column using a modified resin: experiment investigation and artificial neural network modeling. J Water Process Eng 49:102937. https://doi.org/10.1016/j.jwpe.2022.102937
Tien C (2019) Introduction to Adsorption. Elsevier. https://doi.org/10.1016/C2018-0-00297-2
Chiffre A, Degiorgi F, Buleté A, Spinner L, Badot P-M (2016) Occurrence of pharmaceuticals in WWTP effluents and their impact in a karstic rural catchment of Eastern France. Environ Sci Pollut Res 23(24):25427–25441. https://doi.org/10.1007/s11356-016-7751-5
Chittoo BS, Sutherland C (2020) Column breakthrough studies for the removal and recovery of phosphate by lime-iron sludge: modeling and optimization using artificial neural network and adaptive neuro-fuzzy inference system. Chin J Chem Eng 28(7):1847–1859. https://doi.org/10.1016/j.cjche.2020.02.022
Geankoplis CJ (2003) Transport processes and separation process principles. Prentice Hall Professional Technical Reference
Dalhat MA, Mu’Azu ND, Essa MH (2021) Generalized decay and artificial neural network models for fixed-Bed phenolic compounds adsorption onto activated date palm biochar. J Environ Chem Eng 9(1):104711. https://doi.org/10.1016/j.jece.2020.104711
Danish M, Ahmad T (2018) A review on utilization of wood biomass as a sustainable precursor for activated carbon production and application. Renew Sust Energ Rev 87:1–21. https://doi.org/10.1016/j.rser.2018.02.003
Darban Z, Shahabuddin S, Gaur R, Ahmad I, Sridewi N (2022) Hydrogel-based adsorbent material for the effective removal of heavy metals from wastewater: a comprehensive review. Gels 8(5):263. https://doi.org/10.3390/gels8050263
Diniz V, Rath S (2023) Adsorption of aqueous phase contaminants of emerging concern by activated carbon: comparative fixed-bed column study and in situ regeneration methods. J Hazard Mater 459(February):132197. https://doi.org/10.1016/j.jhazmat.2023.132197
Fiyadh SS, Alardhi SM, Al Omar M, Aljumaily MM, Al Saadi MA, Fayaed SS, Ahmed SN, Salman AD, Abdalsalm AH, Jabbar NM, El-Shafi A (2023) A comprehensive review on modelling the adsorption process for heavy metal removal from waste water using artificial neural network technique. Heliyon 9(4):e15455. https://doi.org/10.1016/j.heliyon.2023.e15455
Gros M, Petrović M, Ginebreda A, Barceló D (2010) Removal of pharmaceuticals during wastewater treatment and environmental risk assessment using hazard indexes. Environ Int 36(1):15–26. https://doi.org/10.1016/j.envint.2009.09.002
Guesmi A, Cherif MM, Baaloudj O, Kenfoud H, Badawi AK, Elfalleh W, Hamadi NB, Khezami L, Assadi AA (2022) Disinfection of corona and myriad viruses in water by non-thermal plasma: a review. Environ Sci Pollut Res 29(37):55321–55335. https://doi.org/10.1007/s11356-022-21160-7
Gurke R, Rößler M, Marx C, Diamond S, Schubert S, Oertel R, Fauler J (2015) Occurrence and removal of frequently prescribed pharmaceuticals and corresponding metabolites in wastewater of a sewage treatment plant. Sci Total Environ 532:762–770. https://doi.org/10.1016/j.scitotenv.2015.06.067
Haghighat E, Juanes R (2021) SciANN: a Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks. Comput Methods Appl Mech Eng 373:113552
Hameed A, Hameed BH, Almomani FA, Usman M, Ba-Abbad MM, Khraisheh M (2022) Dynamic simulation of lead(II) metal adsorption from water on activated carbons in a packed-bed column. Biomass Conv Bioref. https://doi.org/10.1007/s13399-022-03079-8
Haro NK, Del Vecchio P, Marcilio NR, Féris LA (2017) Removal of atenolol by adsorption – Study of kinetics and equilibrium. J Clean Prod 154:214–219. https://doi.org/10.1016/j.jclepro.2017.03.217
Hasan MM, Hasan MN, Awual MR, Islam MM, Shenashen MA, Iqbal J (2020) Biodegradable natural carbohydrate polymeric sustainable adsorbents for efficient toxic dye removal from wastewater. J Mol Liq 319:114356. https://doi.org/10.1016/j.molliq.2020.114356
Hasan MM, Salman MS, Hasan MN, Rehan AI, Awual ME, Rasee AI, Waliullah RM, Hossain MS, Kubra KT, Sheikh MC, Khaleque MA, Marwani HM, Islam A, Awual MR (2023) Facial conjugate adsorbent for sustainable Pb(II) ion monitoring and removal from contaminated water. Colloids Surf A Physicochem Eng Asp 673:131794. https://doi.org/10.1016/j.colsurfa.2023.131794
Hu H, Xu K (2020) Physicochemical technologies for HRPs and risk control. In: High-risk pollutants in wastewater. Elsevier, pp 169–207. https://doi.org/10.1016/B978-0-12-816448-8.00008-3
Huang J, Zimmerman AR, Chen H, Wan Y, Zheng Y, Yang Y et al (2022) Fixed bed column performance of Al-modified biochar for the removal of sulfamethoxazole and sulfapyridine antibiotics from wastewater. Chemosphere 305:135475. https://doi.org/10.1016/j.chemosphere.2022.135475
Hughes SR, Kay P, Brown LE (2013) Global synthesis and critical evaluation of pharmaceutical data sets collected from river systems. Environ Sci Technol 47(2):661–677. https://doi.org/10.1021/es3030148
Iftikhar S, Zahra N, Rubab F, Sumra RA, Khan MB, Abbas A, Jaffari ZH (2023) Artificial neural networks for insights into adsorption capacity of industrial dyes using carbon-based materials. Sep Purif Technol 326:124891. https://doi.org/10.1016/j.seppur.2023.124891
Ioannou LA, Hapeshi E, Vasquez MI, Mantzavinos D, Fatta-Kassinos D (2011) Solar/TiO2 photocatalytic decomposition of β-blockers atenolol and propranolol in water and wastewater. Sol Energy 85(9):1915–1926. https://doi.org/10.1016/j.solener.2011.04.031
Jafari K, Heidari M, Fatehizadeh A, Dindarloo K, Alipour V, Rahmanian O (2023) Extensive sorption of Amoxicillin by highly efficient carbon-based adsorbent from palm kernel: artificial neural network modeling. Heliyon 9(8):e18635. https://doi.org/10.1016/j.heliyon.2023.e18635
Ji Y, Zeng C, Ferronato C, Chovelon J-M, Yang X (2012) Nitrate-induced photodegradation of atenolol in aqueous solution: kinetics, toxicity and degradation pathways. Chemosphere 88(5):644–649. https://doi.org/10.1016/j.chemosphere.2012.03.050
Ji Y, Zhou L, Ferronato C, Yang X, Salvador A, Zeng C, Chovelon J-M (2013) Photocatalytic degradation of atenolol in aqueous titanium dioxide suspensions: kinetics, intermediates and degradation pathways. J Photochem Photobiol A Chem 254:35–44. https://doi.org/10.1016/j.jphotochem.2013.01.003
Juela DM (2020) Comparison of the adsorption capacity of acetaminophen on sugarcane bagasse and corn cob by dynamic simulation. Sustain Environ Res 30(1):23. https://doi.org/10.1186/s42834-020-00063-7
Kane A, Assadi AA, El Jery A, Badawi AK, Kenfoud H, Baaloudj O, Assadi AA (2022) Advanced photocatalytic treatment of wastewater using immobilized titanium dioxide as a photocatalyst in a pilot-scale reactor: process intensification. Materials 15(13). https://doi.org/10.3390/ma15134547
Kyzas GZ, Koltsakidou A, Nanaki SG, Bikiaris DN, Lambropoulou DA (2015) Removal of beta-blockers from aqueous media by adsorption onto graphene oxide. Sci Total Environ 537:411–420. https://doi.org/10.1016/j.scitotenv.2015.07.144
Lai WW-P, Lin Y-C, Tung H-H, Lo S-L, Lin AY-C (2016) Occurrence of pharmaceuticals and perfluorinated compounds and evaluation of the availability of reclaimed water in Kinmen. Emerging Contaminants 2(3):135–144. https://doi.org/10.1016/j.emcon.2016.05.001
Lissaneddine A, Mandi L, El Achaby M, Mousset E, Rene ER, Ouazzani N, Pons MN, Aziz F (2021) Performance and dynamic modeling of a continuously operated pomace olive packed bed for olive mill wastewater treatment and phenol recovery. Chemosphere 280. https://doi.org/10.1016/j.chemosphere.2021.130797
López-Cervantes J, Sánchez-Machado DI, Sánchez-Duarte RG, Correa-Murrieta MA (2018) Study of a fixed-bed column in the adsorption of an azo dye from an aqueous medium using a chitosan–glutaraldehyde biosorbent. Adsorpt Sci Technol 36(1–2):215–232. https://doi.org/10.1177/0263617416688021
Mahmoud AED, Franke M, Braeutigam P (2022) Experimental and modeling of fixed-bed column study for phenolic compounds removal by graphite oxide. J Water Proc Eng 49:103085. https://doi.org/10.1016/j.jwpe.2022.103085
Mailler R, Gasperi J, Coquet Y, Deshayes S, Zedek S, Cren-Olivé C, Cartiser N, Eudes V, Bressy A, Caupos E, Moilleron R, Chebbo G, Rocher V (2015) Study of a large scale powdered activated carbon pilot: removals of a wide range of emerging and priority micropollutants from wastewater treatment plant effluents. Water Res 72:315–330. https://doi.org/10.1016/j.watres.2014.10.047
Martin Ruel S, Esperanza M, Choubert J-M, Valor I, Budzinski H, Coquery M (2010) On-site evaluation of the efficiency of conventional and advanced secondary processes for the removal of 60 organic micropollutants. Water Sci Technol 62(12):2970–2978. https://doi.org/10.2166/wst.2010.989
Mater Y, Kamel M, Karam A, Bakhoum E (2023) ANN-Python prediction model for the compressive strength of green concrete. Constr Innov 23(2):340–359. https://doi.org/10.1108/CI-08-2021-0145
Maurer M, Escher BI, Richle P, Schaffner C, Alder AC (2007) Elimination of β-blockers in sewage treatment plants. Water Res 41(7):1614–1622. https://doi.org/10.1016/j.watres.2007.01.004
Miège C, Favier M, Brosse C, Canler J-P, Coquery M (2006) Occurrence of betablockers in effluents of wastewater treatment plants from the Lyon area (France) and risk assessment for the downstream rivers. Talanta 70(4):739–744. https://doi.org/10.1016/j.talanta.2006.07.002
Miyabe K, Isogai R (2011) Estimation of molecular diffusivity in liquid phase systems by the Wilke–Chang equation. J Chromatogr A 1218(38):6639–6645. https://doi.org/10.1016/j.chroma.2011.07.018
Mustapha D, Ahmed T (2023) Adsorption kinetics mechanism optimized by artificial neural network. Chemical Data Collections 47:101072. https://doi.org/10.1016/j.cdc.2023.101072
Nanaki SG, Kyzas GZ, Tzereme A, Papageorgiou M, Kostoglou M, Bikiaris DN, Lambropoulou DA (2015) Synthesis and characterization of modified carrageenan microparticles for the removal of pharmaceuticals from aqueous solutions. Colloids Surf B: Biointerfaces 127:256–265. https://doi.org/10.1016/j.colsurfb.2015.01.053
Nasiri R, Zarei M, Arsalani N, Pezhhanfar S, Someh AA, Panahian Y (2023) One-pot synthesis of novel 3D graphene/Fe3O4/agro-based waste material (Sesamum indicum) nanocomposite for wastewater treatment and artificial neural network modeling. Chem Eng Res Des 190:451–463. https://doi.org/10.1016/j.cherd.2022.12.044
Nguyen LN, van de Merwe JP, Hai FI, Leusch FDL, Kang J, Price WE, Roddick F, Magram SF, Nghiem LD (2016) Laccase–syringaldehyde-mediated degradation of trace organic contaminants in an enzymatic membrane reactor: removal efficiency and effluent toxicity. Bioresour Technol 200:477–484. https://doi.org/10.1016/j.biortech.2015.10.054
Njoki Nyaga, M., Nyagah, D. M., & Njagi, A. (2020). Pharmaceutical waste: overview, management, and impact of improper disposal. http://www.preprints.org
Papageorgiou M, Kosma C, Lambropoulou D (2016) Seasonal occurrence, removal, mass loading and environmental risk assessment of 55 pharmaceuticals and personal care products in a municipal wastewater treatment plant in Central Greece. Sci Total Environ 543:547–569. https://doi.org/10.1016/j.scitotenv.2015.11.047
Qiang Z, Ling W, Tian F (2013) Kinetics and mechanism for omethoate degradation by catalytic ozonation with Fe(III)-loaded activated carbon in water. Chemosphere 90(6):1966–1972. https://doi.org/10.1016/j.chemosphere.2012.10.059
Raschka S, Mirjalili VJS-L (2017) Python machine learning: machine learning and deep learning with python, 2nd edn. Scikit-Learn, and TensorFlow
Rehan AI, Rasee AI, Awual ME, Waliullah RM, Hossain MS, Kubra KT, Salman MS, Hasan MM, Hasan MN, Sheikh MC, Marwani HM, Khaleque MA, Islam A, Awual MR (2023) Improving toxic dye removal and remediation using novel nanocomposite fibrous adsorbent. Colloids Surf A Physicochem Eng Asp 673(May):131859. https://doi.org/10.1016/j.colsurfa.2023.131859
Ren M, Fan F, Zhou B, Liang X, Yang Z (2022) Dynamic simulation of adsorption desulfurization from diesel fuel over activated carbon in the fixed bed. Chem Eng Res Des 183:274–284. https://doi.org/10.1016/j.cherd.2022.04.029
Roberts J, Kumar A, Du J, Hepplewhite C, Ellis DJ, Christy AG, Beavis SG (2016) Pharmaceuticals and personal care products (PPCPs) in Australia’s largest inland sewage treatment plant, and its contribution to a major Australian river during high and low flow. Sci Total Environ 541:1625–1637. https://doi.org/10.1016/j.scitotenv.2015.03.145
Rodríguez-Romero JA, Mendoza-Castillo DI, Reynel-Ávila HE, De Haro-Del Rio DA, González-Rodríguez LM, Bonilla-Petriciolet A, Duran-Valle CJ, Camacho-Aguilar KI (2020) Preparation of a new adsorbent for the removal of arsenic and its simulation with artificial neural network-based adsorption models. J Environ Chem Eng 8(4):103928. https://doi.org/10.1016/j.jece.2020.103928
Ruan Y, Wu R, Lam JCW, Zhang K, Lam PKS (2019) Seasonal occurrence and fate of chiral pharmaceuticals in different sewage treatment systems in Hong Kong: mass balance, enantiomeric profiling, and risk assessment. Water Res 149:607–616. https://doi.org/10.1016/j.watres.2018.11.010
Salman MS, Hasan MN, Hasan MM, Kubra KT, Sheikh MC, Rehan AI, Waliullah RM, Rasee AI, Awual ME, Hossain MS, Alsukaibi AKD, Alshammari HM, Awual MR (2023a) Improving copper(II) ion detection and adsorption from wastewater by the ligand-functionalized composite adsorbent. J Mol Struct 1282:135259. https://doi.org/10.1016/j.molstruc.2023.135259
Salman MS, Sheikh MC, Hasan MM, Hasan MN, Kubra KT, Rehan AI, Awual ME, Rasee AI, Waliullah RM, Hossain MS, Khaleque MA, Alsukaibi AKD, Alshammari HM, Awual MR (2023b) Chitosan-coated cotton fiber composite for efficient toxic dye encapsulation from aqueous media. Appl Surf Sci 622:157008. https://doi.org/10.1016/j.apsusc.2023.157008
Shahzad W, Badawi AK, Rehan ZA, Khan AM, Khan RA, Shah F, Ali S, Ismail B (2022) Enhanced visible light photocatalytic performance of Sr0.3(Ba,Mn)0.7ZrO3 perovskites anchored on graphene oxide. Ceram Int 48(17):24979–24988. https://doi.org/10.1016/j.ceramint.2022.05.151
Shanmugaprakash M, Venkatachalam S, Rajendran K, Pugazhendhi A (2018) Biosorptive removal of Zn(II) ions by Pongamia oil cake (Pongamia pinnata) in batch and fixed-bed column studies using response surface methodology and artificial neural network. J Environ Manag 227:216–228. https://doi.org/10.1016/j.jenvman.2018.08.088
Sheikh MC, Hasan MM, Hasan MN, Salman MS, Kubra KT, Awual ME, Waliullah RM, Rasee AI, Rehan AI, Hossain MS, Marwani HM, Islam A, Khaleque MA, Awual MR (2023) Toxic cadmium(II) monitoring and removal from aqueous solution using ligand-based facial composite adsorbent. J Mol Liq 389:122854. https://doi.org/10.1016/j.molliq.2023.122854
Singh N, Balomajumder C (2016) Continuous packed bed adsorption of phenol and cyanide onto modified rice husk: an experimental and modeling study. Desalin Water Treat 57(50):23903–23917. https://doi.org/10.1080/19443994.2015.1137234
Slater MJ (1991) Kinetics of ion exchange in resin beads. In: Principles of ion exchange technology. Elsevier, pp 29–40. https://doi.org/10.1016/B978-0-7506-1115-2.50011-9
Sotelo JL, Ovejero G, Rodríguez A, Álvarez S, García J (2012) Removal of atenolol and isoproturon in aqueous solutions by adsorption in a fixed-bed column. Ind Eng Chem Res 51(13):5045–5055. https://doi.org/10.1021/ie300334q
Subedi B, Kannan K (2015) Occurrence and fate of select psychoactive pharmaceuticals and antihypertensives in two wastewater treatment plants in New York State, USA. Sci Total Environ 514:273–280. https://doi.org/10.1016/j.scitotenv.2015.01.098
Tahraoui H, Belhadj AE, Triki Z, Boudellal NR, Seder S, Amrane A, Zhang J, Moula N, Tifoura A, Ferhat R, Bousselma A, Mihoubi N (2023) Mixed coagulant-flocculant optimization for pharmaceutical effluent pretreatment using response surface methodology and Gaussian process regression. Process Saf Environ Prot 169:909–927. https://doi.org/10.1016/j.psep.2022.11.045
Taoufik N, Elmchaouri A, El Mahmoudi S, Korili SA, Gil A (2021) Comparative analysis study by response surface methodology and artificial neural network on salicylic acid adsorption optimization using activated carbon. Environ Nanotechnol Monitor Manag 15:100448. https://doi.org/10.1016/j.enmm.2021.100448
Unuabonah EI, Omorogie MO, Oladoja NA (2019) Modeling in adsorption: fundamentals and applications. In: Composite nanoadsorbents. Elsevier, pp 85–118. https://doi.org/10.1016/B978-0-12-814132-8.00005-8
Verlicchi P, Al Aukidy M, Galletti A, Petrovic M, Barceló D (2012) Hospital effluent: Investigation of the concentrations and distribution of pharmaceuticals and environmental risk assessment. Sci Total Environ 430:109–118. https://doi.org/10.1016/j.scitotenv.2012.04.055
Vieno NM, Tuhkanen T, Kronberg L (2006) Analysis of neutral and basic pharmaceuticals in sewage treatment plants and in recipient rivers using solid phase extraction and liquid chromatography–tandem mass spectrometry detection. J Chromatogr A 1134(1–2):101–111. https://doi.org/10.1016/j.chroma.2006.08.077
Vieno N, Tuhkanen T, Kronberg L (2007) Elimination of pharmaceuticals in sewage treatment plants in Finland. Water Res 41(5):1001–1012. https://doi.org/10.1016/j.watres.2006.12.017
Wilde ML, Montipó S, Martins AF (2014) Degradation of β-blockers in hospital wastewater by means of ozonation and Fe2+/ozonation. Water Res 48:280–295. https://doi.org/10.1016/j.watres.2013.09.039
Wood KR, Liu YA, Yu Y (2018) Design, simulation and optimization of adsorptive and chromatographic separations. Wiley-VCH Verlag GmbH & Co KGaA. https://doi.org/10.1002/9783527815029
Xie M, Chen W, Xu Z, Zheng S, Zhu D (2014) Adsorption of sulfonamides to demineralized pine wood biochars prepared under different thermochemical conditions. Environ Pollut 186:187–194. https://doi.org/10.1016/j.envpol.2013.11.022
Yang C, Liu K, Yang S, Zhu W, Tong L, Shi J, Wang Y (2023) Prediction of metformin adsorption on subsurface sediments based on quantitative experiment and artificial neural network modeling. Sci Total Environ 899:165666. https://doi.org/10.1016/j.scitotenv.2023.165666
Yang H, An T, Li G, Song W, Cooper WJ, Luo H, Guo X (2010a) Photocatalytic degradation kinetics and mechanism of environmental pharmaceuticals in aqueous suspension of TiO2: a case of β-blockers. J Hazard Mater 179(1–3):834–839. https://doi.org/10.1016/j.jhazmat.2010.03.079
Yang L, Hu C, Nie Y, Qu J (2010b) Surface acidity and reactivity of β-FeOOH/Al2O3 for pharmaceuticals degradation with ozone: in situ ATR-FTIR studies. Appl Catal B Environ 97(3–4):340–346
Yang RT (2003) Adsorbents: fundamentals and applications. Wiley. https://doi.org/10.1002/047144409X
Yoo SH, Lee SC, Jang HY, Kim SB (2023) Characterization of ibuprofen removal by calcined spherical hydrochar through adsorption experiments, molecular modeling, and artificial neural network predictions. Chemosphere 311(P1):137074. https://doi.org/10.1016/j.chemosphere.2022.137074
Yusuf M, Song K, Li L (2020) Fixed bed column and artificial neural network model to predict heavy metals adsorption dynamic on surfactant decorated graphene. Colloids Surf A Physicochem Eng Asp 585. https://doi.org/10.1016/j.colsurfa.2019.124076
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The authors thankfully acknowledge the support obtained from Universiti Malaysia Perlis (UniMAP) in the form of sponsorship and facilities.
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GKZ: conceptualization, methodology, software, validation, analysis, investigation, data curation, writing—original draft preparation, and visualization. AA: resources, writing—reviewing and editing, and supervision. MA: supervision and project administration.
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Goh, K.Z., Ahmad, A.A. & Ahmad, M.A. ASPAD dynamic simulation and artificial neural network for atenolol adsorption in GGSWAC packed bed column. Environ Sci Pollut Res 31, 1158–1176 (2024). https://doi.org/10.1007/s11356-023-31177-1
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DOI: https://doi.org/10.1007/s11356-023-31177-1