TY - JOUR
T1 - Modeling equilibrium adsorption of organic micropollutants onto activated carbon
AU - De Ridder, David J.
AU - Villacorte, Loreen O.
AU - Verliefde, Arne R. D.
AU - Verberk, Jasper Q J C
AU - Heijman, Bas G J
AU - Amy, Gary L.
AU - Van Dijk, Johannis C.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This research is based upon work supported by VEWIN, the association of drinking water companies in the Netherlands. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the supporting organization.
PY - 2010/5
Y1 - 2010/5
N2 - Solute hydrophobicity, polarizability, aromaticity and the presence of H-bond donor/acceptor groups have been identified as important solute properties that affect the adsorption on activated carbon. However, the adsorption mechanisms related to these properties occur in parallel, and their respective dominance depends on the solute properties as well as carbon characteristics. In this paper, a model based on multivariate linear regression is described that was developed to predict equilibrium carbon loading on a specific activated carbon (F400) for solutes reflecting a wide range of solute properties. In order to improve prediction accuracy, groups (bins) of solutes with similar solute properties were defined and solute removals were predicted for each bin separately. With these individual linear models, coefficients of determination (R2) values ranging from 0.61 to 0.84 were obtained. With the mechanistic approach used in developing this predictive model, a strong relation with adsorption mechanisms is established, improving the interpretation and, ultimately, acceptance of the model. © 2010 Elsevier Ltd.
AB - Solute hydrophobicity, polarizability, aromaticity and the presence of H-bond donor/acceptor groups have been identified as important solute properties that affect the adsorption on activated carbon. However, the adsorption mechanisms related to these properties occur in parallel, and their respective dominance depends on the solute properties as well as carbon characteristics. In this paper, a model based on multivariate linear regression is described that was developed to predict equilibrium carbon loading on a specific activated carbon (F400) for solutes reflecting a wide range of solute properties. In order to improve prediction accuracy, groups (bins) of solutes with similar solute properties were defined and solute removals were predicted for each bin separately. With these individual linear models, coefficients of determination (R2) values ranging from 0.61 to 0.84 were obtained. With the mechanistic approach used in developing this predictive model, a strong relation with adsorption mechanisms is established, improving the interpretation and, ultimately, acceptance of the model. © 2010 Elsevier Ltd.
UR - http://hdl.handle.net/10754/561472
UR - https://linkinghub.elsevier.com/retrieve/pii/S0043135410001557
UR - http://www.scopus.com/inward/record.url?scp=77952545029&partnerID=8YFLogxK
U2 - 10.1016/j.watres.2010.02.034
DO - 10.1016/j.watres.2010.02.034
M3 - Article
C2 - 20236679
SN - 0043-1354
VL - 44
SP - 3077
EP - 3086
JO - Water Research
JF - Water Research
IS - 10
ER -