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Determination and elimination of hazardous pollutants by exploitation of a Prussian blue nanoparticles-graphene oxide composite.
- Source :
-
Analytica chimica acta [Anal Chim Acta] 2019 Apr 25; Vol. 1054, pp. 17-25. Date of Electronic Publication: 2018 Dec 15. - Publication Year :
- 2019
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Abstract
- The exploitation of desired materials with specific properties for water remediation has become an irresistible trend. Generally, materials favorable to the elimination of hazardous contaminants are always beneficial to the detection of these compounds. Nevertheless, few researches combined these two procedures into a treating line. Therefore, a Prussian blue nanoparticles-doped graphene oxide (PBGO) composite was successfully synthesized and prepared as a solid-phase microextraction (SPME) coating for pollutant detection and a three-dimensional (3D) aerogel for contaminant removal in this study. Owing to its highly conjugated structure, abundant oxygen sites and periodical cyano groups, the composite achieved satisfactory enrichment capacity towards specific pollutants. The combination of elimination and determination of organic contaminants by using the PBGO composite not only possessed satisfactory performance but also avoided the separation process and secondary pollution. Finally, the PBGO SPME coating was utilized for the sensitive detection of several hazardous contaminants in environmental water samples with satisfactory recoveries. We think the combination of a PBGO composite with the green sample pretreatment technique (SPME) and pollutant elimination will not only help to facilitate the improvement in analytical fields, but also provide a secondary pollution-free way to explore the adsorption properties of adsorptive materials for environmental contaminants.<br /> (Copyright © 2018 Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-4324
- Volume :
- 1054
- Database :
- MEDLINE
- Journal :
- Analytica chimica acta
- Publication Type :
- Academic Journal
- Accession number :
- 30712588
- Full Text :
- https://doi.org/10.1016/j.aca.2018.12.011