Dataset Information


Helical Multi-walled Carbon Nanotubes as an Efficient Material for the Dispersive Solid-Phase Extraction of Low and High Molecular Weight Polycyclic Aromatic Hydrocarbons from Water Samples: Theoretical Study.

ABSTRACT: The differences in effectiveness of multi-walled carbon nanotubes (MWCNTs) as the dispersive solid-phase extraction (dSPE) sorbent for the selective extraction of polycyclic aromatic hydrocarbons (PAHs) were explained on the basis of theoretical study. It was observed that for low molecular weight PAHs, the recoveries using non-helical and helical MWCNTs were similar. In contrary, for PAHs containing five or more aromatic rings, the extraction efficiency was higher using HMWCNTs than for non-helical ones. Principle component analysis (PCA) as well as providing structural parameters and interaction energies for adsorption processes (PAH + CNT ? PAH-CNT) have been used for this purpose. All the PAH + CNT???PAH-CNT adsorption processes considered were found to be thermodynamically favorable. However, the adsorption energies (Eads) for PAHs and the helical carbon nanotube surface estimated for the B(a)P-HCNT and I(1,2,3-cd)P-HCNT are substantially less negative than those observed for PAH molecules interacting with the non-helical CNT. Namely, the Eads calculated in simulated aqueous environment for the B(a)P-MWCNT(6,2) and I(1,2,3-cd)P-MWCNT(6,2) were respectively -?43.32 and -?59.98 kcal/mol, while values of only -?7.75 kcal/mol (B(a)P-HCNT) and -?9.13 kcal/mol (I(1,2,3-cd)P-HCNT) were found for the corresponding PAH-HCNT systems. Therefore, we conclude that the replacement of MWCNTs with HCNTs leads to PAH-HCNT systems in which the interaction energies are much smaller than those estimated for the corresponding PAH-MWCNT systems. HMWCNTs are therefore recommended as the dSPE sorbent phase for the extraction of both low and high molecular weight PAHs from water samples.

SUBMITTER: Paszkiewicz M 

PROVIDER: S-EPMC6133110 | BioStudies | 2018-01-01

REPOSITORIES: biostudies

Similar Datasets

2016-01-01 | S-EPMC5132190 | BioStudies
2016-01-01 | S-EPMC4957827 | BioStudies
2017-01-01 | S-EPMC5668293 | BioStudies
2013-01-01 | S-EPMC3838018 | BioStudies
2019-01-01 | S-EPMC6648309 | BioStudies
2016-01-01 | S-EPMC5456468 | BioStudies
2015-01-01 | S-EPMC4442484 | BioStudies
2016-05-30 | E-GEOD-70842 | ArrayExpress
2014-01-01 | S-EPMC3928276 | BioStudies
2017-01-01 | S-EPMC5562139 | BioStudies