Effect of the degree of oxidation and defects of graphene oxide on adsorption of Cu2+ from aqueous solution

RETRACTED: Enhanced Adsorption of Zn(II) onto Graphene Oxides Investigated Using Batch and Modeling Techniques

“…Weng et al (2004) found that a foreign ion may influence the electrical double layer structure and then impact the binding of the adsorption species [ 36 ]. However, Tan et al (2017) declared that the sorption of Cu 2+ on GO changed slightly by increasing Cl − (from 0.01 M to 0.1 M) [ 17 ]. Liu et al (2013) demonstrated that monovalent anions showed a negligible impact on Co(II) adsorption onto carbon nanotube-hydroxyapatite composites [ 37 ], which is consistent with the result obtained in this study.…”

“…Graphene oxide (GO), as a new two-dimensional carbon-based material, has been widely explored due to its large specific surface area (about 2600 m 2 /g), high mechanical strength (>1060 GPa), and plentiful oxygenous functionalities (e.g., carboxyl, epoxy, and hydroxyl groups) [ 12 , 13 , 14 , 15 ]. Thus, GO is deemed to be a promising sorbent for the removal of heavy metal ions [ 3 , 16 , 17 , 18 , 19 ], humic acid [ 20 ], radionuclides [ 14 , 21 , 22 , 23 , 24 ], organic dyes [ 25 , 26 ], ammonia [ 27 ], etc. Wang (2013) demonstrated that the maximum adsorption capacity of GO was 246 mg/g for Zn(II) [ 3 ].…”

Multi-Bit Biomemory Based on Chitosan: Graphene Oxide Nanocomposite with Wrinkled Surface

“…The cross-sectional profiles of these three CS:GO nanocomposite films with a distinct weight ratio of 2:1, 5:1, and 10:1 ( w / w ), respectively, present a layered structure of GO ( Figure 1 b–d) with a thickness of roughly 30 nm. The reason for better compatibility between CS and GO is that amino and carboxyl groups in CS can be used to form hydrogen bonding with a variety of oxygen-containing groups in GO and simultaneously inhibit the aggregation of GO [ 23 , 24 , 25 , 26 ]. The morphological observation ( Figure 2 ) without agglomeration illustrates that more content of GO brings about more wrinkled nanocomposite film.…”

Appraisal of Cu(ii) adsorption by graphene oxide and its modelling via artificial neural network

“…The nature and magnitude of oxygenated functional groups of GO can be altered by the oxidation method, which may directly or indirectly inuence the adsorption properties. 20,21 Articial neural network (ANN) is a computational model derived from the structure and function of the biological nervous system. The capability of an ANN model to study complex and non-linear processes enables it to accurately simulate human intuition in making conclusions.…”