TY - JOUR
T1 - Fluoride adsorption from aqueous solution using a protonated clinoptilolite and its modeling with artificial neural network-based equations
AU - Saucedo-Delgado, B. G.
AU - De Haro-Del Rio, D. A.
AU - González-Rodríguez, L. M.
AU - Reynel-Ávila, H. E.
AU - Mendoza-Castillo, D. I.
AU - Bonilla-Petriciolet, A.
AU - Rivera de la Rosa, J.
N1 - Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/12
Y1 - 2017/12
N2 - Water defluoridation properties of a protonated clinoptilolite has been studied and analyzed. This adsorbent has been obtained by a thermochemical treatment with NH4Cl to protonate the zeolite surface and to increase its specific surface area. Results of adsorption kinetics and isotherms showed that the defluoridation properties of this protonated clinoptilolite were better than those reported for raw and modified zeolites with multivalent cations such as aluminum or iron. Defluoridation performance of this protonated clinoptilolite was endothermic and increased at acidic conditions in contrast to other zeolites modified with multivalent cations that should operate at pH ≥ 7 to maintain the adsorbent chemical stability. In addition, new models have been also developed to fit the fluoride adsorption on this protonated zeolite. These models were based on a hybridization of artificial neural networks and Langmuir and Pseudo-second order equations. Results showed that these hybrid models satisfactorily fitted the kinetics and isotherms of the fluoride adsorption on protonated clinoptilolite. These new models are promising to correlate and predict the fluoride adsorption with this zeolite or other types of adsorbents.
AB - Water defluoridation properties of a protonated clinoptilolite has been studied and analyzed. This adsorbent has been obtained by a thermochemical treatment with NH4Cl to protonate the zeolite surface and to increase its specific surface area. Results of adsorption kinetics and isotherms showed that the defluoridation properties of this protonated clinoptilolite were better than those reported for raw and modified zeolites with multivalent cations such as aluminum or iron. Defluoridation performance of this protonated clinoptilolite was endothermic and increased at acidic conditions in contrast to other zeolites modified with multivalent cations that should operate at pH ≥ 7 to maintain the adsorbent chemical stability. In addition, new models have been also developed to fit the fluoride adsorption on this protonated zeolite. These models were based on a hybridization of artificial neural networks and Langmuir and Pseudo-second order equations. Results showed that these hybrid models satisfactorily fitted the kinetics and isotherms of the fluoride adsorption on protonated clinoptilolite. These new models are promising to correlate and predict the fluoride adsorption with this zeolite or other types of adsorbents.
KW - Adsorption modeling
KW - Artificial neural network
KW - Clinoptilolite
KW - Fluoride adsorption
KW - Zeolite protonation procedure
UR - http://www.scopus.com/inward/record.url?scp=85033552100&partnerID=8YFLogxK
U2 - 10.1016/j.jfluchem.2017.11.002
DO - 10.1016/j.jfluchem.2017.11.002
M3 - Artículo
SN - 0022-1139
VL - 204
SP - 98
EP - 106
JO - Journal of Fluorine Chemistry
JF - Journal of Fluorine Chemistry
ER -