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On The Importance Of Surface Chemistry And Composition Of Bone Char For The Sorption Of Heavy Metals From Aqueous Solution, Didilia I. Mendoza-Castillo, Adrian Bonilla-Petriciolet, Juan Jáuregui-Rincón
On The Importance Of Surface Chemistry And Composition Of Bone Char For The Sorption Of Heavy Metals From Aqueous Solution, Didilia I. Mendoza-Castillo, Adrian Bonilla-Petriciolet, Juan Jáuregui-Rincón
Adrian Bonilla-Petriciolet
This paper reports new insights on the role of the inorganic composition of bone char on its sorption properties for the removal of heavy metals Cd2+, Ni2+ and Zn2+ ions from aqueous solution. In particular, we showed the importance of both composition and surface chemistry of bone char on its sorption properties for the removal of these metal ions in aqueous solution. Results of physicochemical characterization and sorption studies suggest that the inorganic phase of bone char may contribute from 60 to 92% of the sorption process of heavy metals in aqueous solution. In particular, the ion exchange process of …
Removal Of Heavy Metals And Arsenic From Aqueous Solution Using Textile Wastes From Denim Industry, Didilia I. Mendoza-Castillo, Cintia Karina Rojas-Mayorga, Irving P. García-Martínez, María Ana Pérez-Cruz, Virginia Hernández-Montoya, Adrian Bonilla-Petriciolet, Miguel A. Montes-Moran
Removal Of Heavy Metals And Arsenic From Aqueous Solution Using Textile Wastes From Denim Industry, Didilia I. Mendoza-Castillo, Cintia Karina Rojas-Mayorga, Irving P. García-Martínez, María Ana Pérez-Cruz, Virginia Hernández-Montoya, Adrian Bonilla-Petriciolet, Miguel A. Montes-Moran
Adrian Bonilla-Petriciolet
In this study, the denim fiber scraps were reused as an alternative low-cost sorbent for the removal of heavy metals Pb2+, Cd2+, Zn2+ and arsenic from aqueous solutions. Results showed that this textile waste was an effective sorbent for the removal of these heavy metal ions and offered a better removal performance than those reported for other synthetic and natural sorbents such as activated carbons and zeolites. On the other hand, raw and metal-loaded denim wastes were also useful for the removal of arsenic (V) from aqueous solutions and their sorption capacities were higher than 1.5 mg/g. In particular, the …
Chemical Modification Of Byrsonima Crassifolia With Citric Acid For The Competitive Sorption Of Heavy Metals From Water, Jacqueline Monroy-Figueroa, Didilia I. Mendoza-Castillo, Adrian Bonilla-Petriciolet, María Ana Pérez-Cruz
Chemical Modification Of Byrsonima Crassifolia With Citric Acid For The Competitive Sorption Of Heavy Metals From Water, Jacqueline Monroy-Figueroa, Didilia I. Mendoza-Castillo, Adrian Bonilla-Petriciolet, María Ana Pérez-Cruz
Adrian Bonilla-Petriciolet
This study reports the chemical modification of the Byrsonima Crassifolia biomass with citric acid to improve its sorption properties for the removal of cadmium and nickel ions from aqueous solutions under competitive sorption conditions (i.e., multicomponent solutions). The best operating conditions of the chemical modification process were identified using the signal-to-noise ratio to enhance the metal uptakes and to reduce the competitive sorption effects during the simultaneous removal of these metals using the modified biomass. Results indicated that both the sorption capacity and selectivity for heavy metal removal can be improved in multicomponent metal solutions. This improvement in sorption properties …
Neural Newtork Modeling Of Heavy Metal Sorption On Lignocellulosic Biomasses: Effect Of Metallic Ion Properties And Sorbent Characteristics, Didilia I. Mendoza-Castillo, Nellie Villalobos-Ortega, Adrian Bonilla-Petriciolet, Juan Carlos Tapia-Picazo
Neural Newtork Modeling Of Heavy Metal Sorption On Lignocellulosic Biomasses: Effect Of Metallic Ion Properties And Sorbent Characteristics, Didilia I. Mendoza-Castillo, Nellie Villalobos-Ortega, Adrian Bonilla-Petriciolet, Juan Carlos Tapia-Picazo
Adrian Bonilla-Petriciolet
This study reports the application of a neural network approach for modeling and analyzing the sorption performance of different lignocellulosic wastes, namely jacaranda fruit, plum kernels and nutshell, for the removal of heavy metal ions (Pb2+, Cd2+, Ni2+ and Zn2+) from aqueous solutions. This ANNs model was used to determine the relevance and importance of both sorbent and pollutant characteristics on the metal sorption kinetics and isotherms. Results of this study highlighted the role of acidic functional groups, lignin composition of tested biomasses, and the pollutant molecular weight in the sorption of heavy metals. The nutshell biomass showed the best …