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Chemical Engineering

2015

Adrian Bonilla-Petriciolet

Sorption

Articles 1 - 2 of 2

Full-Text Articles in Engineering

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 Jan 2015

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 …


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 Jan 2015

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 …