The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.
2016
DOI: 10.1002/jssc.201501209
|View full text |Cite
|
Sign up to set email alerts
|

Graphene oxide assisted electromembrane extraction with gas chromatography for the determination of methamphetamine as a model analyte in hair and urine samples

Abstract: In the present study, graphene oxide reinforced two-phase electromembrane extraction (EME) coupled with gas chromatography was applied for the determination of methamphetamine as a model analyte in biological samples. The presence of graphene oxide in the hollow fiber wall can increase the effective surface area, interactions with analyte and polarity of support liquid membrane that leads to an enhancement in the analyte migration. To investigate the influence of the presence of graphene oxide in the support l… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
24
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 49 publications
(25 citation statements)
references
References 41 publications
0
24
0
Order By: Relevance
“…and Fakhari et al. studied the effect of modified SLM with reduced graphene oxide on EME efficiency . Reduced graphene oxide (RGO) with special characteristics such as layered structure, high specific surface area, excellent adsorptive properties, and electrical conductivity is composed of a hexagonal carbon network bearing, oxygen‐containing functional groups.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…and Fakhari et al. studied the effect of modified SLM with reduced graphene oxide on EME efficiency . Reduced graphene oxide (RGO) with special characteristics such as layered structure, high specific surface area, excellent adsorptive properties, and electrical conductivity is composed of a hexagonal carbon network bearing, oxygen‐containing functional groups.…”
Section: Introductionmentioning
confidence: 99%
“…The multi-walled carbon nanotubes dispersion in the SLM led to accelerated adsorption and desorption processes due to improved electrokinetic transport from the acceptor phase to the sample solution, which in turn enhances the enrichment factor [18]. Bagheri et al and Fakhari et al studied the effect of modified SLM with reduced graphene oxide on EME efficiency [19,20]. Reduced graphene oxide (RGO) with special characteristics such as layered structure, high specific surface area, excellent adsorptive properties, and electrical conductivity is composed of a hexagonal carbon network bearing, oxygen-containing functional groups.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to deal with this problem, Pedersen-Bjergaard et al [23][24][25][26] have introduced a microextraction technique called the electro-membrane extraction (EME). The extraction principle in EME is based on the electro-kinetic migration of ionized compounds by the application of an electrical potential difference [27][28][29][30][31][32]. In this method, the ionized compounds migrate across the supported liquid membrane (SLM) from an aqueous sample solution into an aqueous acceptor that is located inside the lumen of a hollow fiber.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, high agitation was allowed during the extraction procedure and the extraction efficiency would be improved by reducing the Nernst diffusion layer [16]. In recent years, based on HF-LPME, hollow-fiber solidphase microextraction (HF-SPME) was developed based on various absorbing materials with outstanding adsorptive characteristics, such as molecular imprinted polymer [17], multiwalled carbon nanotube [18], ILs coated titanium dioxide [19], AgNPs@MCM-41 [20], graphene oxide [21], polymeric ILs [22], and so on. The proposed methods further improved the mechanical robustness and extraction efficiency, and exhibited high sensitivity and selectivity.…”
Section: Introductionmentioning
confidence: 99%