2011
DOI: 10.1016/j.jallcom.2010.11.094
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Preparation and characterization of multi-walled carbon nanotubes/chitosan nanocomposite and its application for the removal of heavy metals from aqueous solution

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Cited by 195 publications
(77 citation statements)
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“…Physical characterization: For the adsorption process or removal of the pollutants from the environment, the surface area of adsorbent is a key factor [12]. In Table-1, the physical characteristics of the adsorbents, including the surface area analysis are summarized.…”
Section: Resultsmentioning
confidence: 99%
“…Physical characterization: For the adsorption process or removal of the pollutants from the environment, the surface area of adsorbent is a key factor [12]. In Table-1, the physical characteristics of the adsorbents, including the surface area analysis are summarized.…”
Section: Resultsmentioning
confidence: 99%
“…The determination of the dependence of the nanotube properties on the parameters of the catalysts used allows to obtain CNTs with adjustable characteristics (length, diameter, degree of defectiveness, etc.) for surface modification of porous substrates [19][20][21][22][23][24][25].…”
Section: Introductionmentioning
confidence: 99%
“…Zurairah (2015) uses waste palm shells and crab shell waste (Tachypleus gigas) for the preparation and characterization of CNT-chitosan nanocomposite with the composition ratio (1: 3) through the methods of sonication. Salam et al (2011) have added glutaraldehyde used as agents crosslinking the MWCNT-chitosan nanocomposite, and the result was applied as adsorbent with reviewing the influence of increased temperature, mass difference adsorbent, and the speed of the flow rate to attract heavy metals such as Co, Cd, Zn and Ni. From these studies, it is to obtain the maximum results in the adsorption levels of Hg in gold mining wastewater, it is necessary to modify the adsorbent that is by mixing MWCNT processed waste palm shells, chitosan and glutaraldehyde through sonication methods.…”
Section: Introductionmentioning
confidence: 99%