Comparing different versions of the Yoon-Nelson model in describing organic micropollutant adsorption within fixed bed adsorbers.
Asymmetric breakthrough curve
Caffeine
Diclofenac
Tailing
Tetracycline
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Mar 2024
Mar 2024
Historique:
received:
26
09
2023
accepted:
08
02
2024
pubmed:
22
2
2024
medline:
22
2
2024
entrez:
22
2
2024
Statut:
ppublish
Résumé
The Yoon-Nelson model serves as a widely used tool for describing the breakthrough behavior of organic micropollutants within fixed bed adsorbers. This study aims to augment its modeling efficacy through two proposed refinements found in the literature: a logarithmic transformation and the incorporation of steric hindrance effects. We systematically evaluated the original Yoon-Nelson model alongside the modified versions, using breakthrough data associated with micropollutant adsorption on solid materials. Three distinct cases were scrutinized: (1) caffeine adsorption on activated carbon; (2) tetracycline adsorption on hierarchical porous carbon; and (3) diclofenac adsorption on organoclay. While all three models demonstrated comparable performance with highly symmetric breakthrough data in case 1, their efficacy diverged significantly when confronted with strongly asymmetric breakthrough data in cases 2 and 3. The original Yoon-Nelson model and the logarithmically modified version fell short in accurately representing these intricate breakthrough curves. In contrast, the version incorporating steric hindrance effects showcased substantial accuracy, outperforming other models in capturing the complexities of asymmetric breakthrough data. This advancement markedly enhances the modeling accuracy and versatility of the Yoon-Nelson model, particularly in assessing the dynamic behavior of organic micropollutants within fixed bed adsorbers.
Identifiants
pubmed: 38386161
doi: 10.1007/s11356-024-32450-7
pii: 10.1007/s11356-024-32450-7
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
21136-21143Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Références
Apiratikul R, Chu KH (2021) Improved fixed bed models for correlating asymmetric adsorption breakthrough curves. J Water Process Eng 40:101810. https://doi.org/10.1016/j.jwpe.2020.101810
doi: 10.1016/j.jwpe.2020.101810
Benstoem F, Nahrstedt A, Boehler M, Knopp G, Montag D, Siegrist H, Pinnekamp J (2017) Performance of granular activated carbon to remove micropollutants from municipal wastewater—a meta-analysis of pilot- and large-scale studies. Chemosphere 185:105–118. https://doi.org/10.1016/j.chemosphere.2017.06.118
doi: 10.1016/j.chemosphere.2017.06.118
pubmed: 28688844
Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach, 2nd edn. Springer-Verlag, New York
Chu KH (2023) Fixed bed adsorption of water contaminants: a cautionary guide to simple analytical models and modeling misconceptions. Sep Purif Rev 52:75–97. https://doi.org/10.1080/15422119.2022.2039196
doi: 10.1080/15422119.2022.2039196
Chu KH, Hashim MA (2023a) Adsorptive removal of pharmaceutical contaminants: accurate description of tailing breakthrough curves. J Environ Chem Eng 11:111025. https://doi.org/10.1016/j.jece.2023.111025
doi: 10.1016/j.jece.2023.111025
Chu KH, Hashim MA (2023b) Removal of antibiotics through fixed bed adsorption: comparison of different breakthrough curve models. J Water Process Eng 56:104512. https://doi.org/10.1016/j.jwpe.2023.104512
doi: 10.1016/j.jwpe.2023.104512
de Andrade JR, Oliveira MF, Canevesi RLS, Landers R, da Silva MGC, Vieira MGA (2020) Comparative adsorption of diclofenac sodium and losartan potassium in organophilic clay-packed fixed-bed: X-ray photoelectron spectroscopy characterization, experimental tests and theoretical study on DFT-based chemical descriptors. J Mol Liq 312:113427. https://doi.org/10.1016/j.molliq.2020.113427
doi: 10.1016/j.molliq.2020.113427
de Oliveira JT, da Luz Arsufi AB, Estumano DC, Féris LA (2023) Bayesian computational technique for modeling caffeine adsorption in a fixed-bed column: use of the maximum adsorption capacity deterministically and experimental design. Ind Eng Chem Res 62:7127–7137. https://doi.org/10.1021/acs.iecr.3c00303
doi: 10.1021/acs.iecr.3c00303
Fundneider T, Alonso VA, Abbt-Braun G, Wick A, Albrecht D, Lackner S (2021) Empty bed contact time: the key for micropollutant removal in activated carbon filters. Water Res 191:116765. https://doi.org/10.1016/j.watres.2020.116765
doi: 10.1016/j.watres.2020.116765
pubmed: 33412419
Guillossou R, Le Roux J, Mailler R, Morlay C, Vulliet E, Nauleau F, Rocher V, Gasperi J (2020) Influence of the properties of 7 micro-grain activated carbons on organic micropollutants removal from wastewater effluent. Chemosphere 243:125306. https://doi.org/10.1016/j.chemosphere.2019.125306
doi: 10.1016/j.chemosphere.2019.125306
pubmed: 31751927
Jin X, Talbot J, Wang NHL (1994) Analysis of steric hindrance effects on adsorption kinetics and equilibria. AIChE J 40:1685–1696. https://doi.org/10.1002/aic.690401010
doi: 10.1002/aic.690401010
Juela D, Vera M, Cruzat C, Astudillo A, Vanegas E (2022) A new approach for scaling up fixed-bed adsorption columns for aqueous systems: a case of antibiotic removal on natural adsorbent. Process Saf Environ Prot 159:953–963. https://doi.org/10.1016/j.psep.2022.01.046
doi: 10.1016/j.psep.2022.01.046
Kushwaha P, Agarwal M (2023) Utilization of metal industry solid waste as an adsorbent for adsorption of anionic and cationic dyes from aqueous solution through the batch and continuous study. Environ Sci Pollut Res 30:46748–46765. https://doi.org/10.1007/s11356-023-25531-6
doi: 10.1007/s11356-023-25531-6
Motulsky H, Christopoulos A (2004) Fitting models to biological data using linear and nonlinear regression: a practical guide to curve fitting. Oxford University Press, Oxford
doi: 10.1093/oso/9780195171792.001.0001
Nakhaei M, Heidarian MH, Vatanpour V, Rezaei K (2023) Evaluation the feasibility of using clinoptilolite as a gravel pack in water wells for removal of lead from contaminated groundwater. Environ Sci Pollut Res 30:4653–4668. https://doi.org/10.1007/s11356-022-22519-6
doi: 10.1007/s11356-022-22519-6
Schwarzenbach RP, Escher BI, Fenner K, Hofstetter TB, Johnson CA, von Gunten U, Wehrli B (2006) The challenge of micropollutants in aquatic systems. Science 313:1072–1077. https://doi.org/10.1126/science.1127291
doi: 10.1126/science.1127291
pubmed: 16931750
Sotelo JL, Rodríguez A, Álvarez S, García J (2012) Removal of caffeine and diclofenac on activated carbon in fixed bed column. Chem Eng Res Des 90:967–974. https://doi.org/10.1016/j.cherd.2011.10.012
doi: 10.1016/j.cherd.2011.10.012
Wang J, Liu X, Yang M, Han H, Zhang S, Ouyang G, Han R (2021) Removal of tetracycline using modified wheat straw from solution in batch and column modes. J Mol Liq 338:116698. https://doi.org/10.1016/j.molliq.2021.116698
doi: 10.1016/j.molliq.2021.116698
Xiang Y, Xu Z, Wei Y, Zhou Y, Yang X, Yang Y, Yang J, Zhang J, Luo L, Zhou Z (2019) Carbon-based materials as adsorbent for antibiotics removal: mechanisms and influencing factors. J Environ Manage 237:128–138. https://doi.org/10.1016/j.jenvman.2019.02.068
doi: 10.1016/j.jenvman.2019.02.068
pubmed: 30784860
Yang Y, Zhang X, Jiang J, Han J, Li W, Li X, Leung KMY, Snyder SA, Alvarez PJJ (2022) Which micropollutants in water environments deserve more attention globally? Environ Sci Technol 56:13–29. https://doi.org/10.1021/acs.est.1c04250
doi: 10.1021/acs.est.1c04250
pubmed: 34932308
Yoon YH, Nelson JH (1984) Application of gas adsorption kinetics I. A theoretical model for respirator cartridge service life. Am Ind Hyg Assoc J 45:509–516. https://doi.org/10.1080/15298668491400197
doi: 10.1080/15298668491400197
pubmed: 6475758
Zhang M, Xu L, Qi C, Zhang M (2019) Highly effective removal of tetracycline from water by hierarchical porous carbon: batch and column adsorption. Ind Eng Chem Res 58:20036–20046. https://doi.org/10.1021/acs.iecr.9b03547
doi: 10.1021/acs.iecr.9b03547