Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models

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Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models

This study observed the influence of temperature, initial Cu(II) ion concentration, and sorbent dosage on the Cu(II) removal from the water matrix using surface-oxidized cellulose nanowhiskers (CNWs) bearing carboxylate functionalities. In addition, this study focused on the actual conditions in a w...

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Bibliographic Details
Main Authors:	Hamid, Hazren A., Jenidi, Youla, Thielemans, Wim, Somerfield, Christopher, Gomes, Rachel L.
Format:	Article
Published:	Elsevier 2016
Subjects:	Artificial neural networks; Adsorption; Cu(II) ions; Cellulose nanowhiskers; Response surface methodology
Online Access:	https://eprints.nottingham.ac.uk/35718/

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