2022
DOI: 10.1016/j.psep.2022.01.046
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A new approach for scaling up fixed-bed adsorption columns for aqueous systems: A case of antibiotic removal on natural adsorbent

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Cited by 16 publications
(9 citation statements)
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References 27 publications
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“…For industrial-scale design and scaling purposes, a continuous modality, such as a fixed-bed column, was preferred due to its simple configuration and ease of scaling. Also the effect of the flow rate, bed height, pollutant concentration, and fixed-bed parameters on the adsorption capacity should be systematacially studied . In future work, more efforts were expected to be devoted to the application of adsorbents in the treatment of real industrial wastewater on larger scales.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…For industrial-scale design and scaling purposes, a continuous modality, such as a fixed-bed column, was preferred due to its simple configuration and ease of scaling. Also the effect of the flow rate, bed height, pollutant concentration, and fixed-bed parameters on the adsorption capacity should be systematacially studied . In future work, more efforts were expected to be devoted to the application of adsorbents in the treatment of real industrial wastewater on larger scales.…”
Section: Resultsmentioning
confidence: 99%
“…Also the effect of the flow rate, bed height, pollutant concentration, and fixed-bed parameters on the adsorption capacity should be systematacially studied. 44 In future work, more efforts were expected to be devoted to the application of adsorbents in the treatment of real industrial wastewater on larger scales.…”
Section: Capture Performance Of a Lignin-based Adsorbentmentioning
confidence: 99%
“…The second set of data was taken from a recent publication by Juela et al [23], focusing on the adsorption of sulfamethoxazole in a fixed bed column packed with sugarcane bagasse.…”
Section: Case Studiesmentioning
confidence: 99%
“…What distinguishes our modified Bohart-Adams model from previous attempts is its solid grounding in physical reasoning, offering a fresh and promising approach to improving the model's data fitting capability. [7] Caffeine; diclofenac BA Sotelo et al [8] Atenolol; isoproturon BA; Thomas; YN; Clark; Wolborska Sotelo et al [9] Carbamazepine BA; Thomas; YN; Clark Nazari et al [10] Cephalexin BA; Thomas; YN Álvarez-Torrellas et al [11] Ibuprofen; tetracycline PSD de Franco et al [12] Diclofenac BA; Thomas; Yan Zhang et al [13] Tetracycline Thomas de Andrade et al [14] Diclofenac; losartan Thomas; YN; Yan; ILE; dual-site LDF Antonelli et al [15] Ofloxacin Thomas; YN; Yan; Clark Wang et al [16] Tetracycline Yan Vera et al [17] Acetaminophen BA; Thomas; YN; Yan; Wolborska; Wang; LDF Puga et al [18] Venlafaxine; trazodone; fluoxetine Thomas; YN; Yan Yu et al [19] Tetracycline YN de Araújo et al [20] Acetaminophen BA; Thomas; YN; Yan Quesada et al [21] Caffeine BA; log-BA; Yan Sompornpailin et al [22] Ibuprofen Log-Thomas Juela et al [23] Sulfamethoxazole LDF Spaolonzi et al [24] Cefazolin Thomas; YN; Yan; dual-site LDF Silveira-Neto et al [25] Paracetamol BA; Thomas; Yan a BA: Bohart-Adams; YN: Yoon-Nelson; PSD: pore and surface diffusion; ILE: instantaneous local equilibrium; LDF: linear driving force.…”
Section: Introductionmentioning
confidence: 99%
“…ANN is widely recognized as a robust statistical tool due to a multitude of advantages. These advantages include the capacity to identify patterns through small modifications, the ability to approximate nonlinear systems without prior knowledge of variable relationships, simple use, and the capability to operate separately from conventional experimental designs 27 . The selection of ANN modeling was based on the features above to forecast and enhance the extraction of FS from MSWL.…”
Section: Introductionmentioning
confidence: 99%