Improved electromembrane microextraction efficiency of chloramphenicol in dairy products: the cooperation of reduced graphene oxide and a cationic surfactant

Fashi, Armin; Khanban, Fatemeh; Yaftian, Mohammad Reza; Zamani, Abbasali

doi:10.1039/c6ra20479a

Cited by 21 publications

(5 citation statements)

References 36 publications

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“…Also in this case, graphene oxide was found to enhance the analyte mass transfer. Such positive effect of graphene oxide nano-sorbents was further supported by EME of chloramphenicol from dairy products [42] . In a fourth paper, nitrogen doped graphene was tested as SLM additive [40] .…”

Section: Recent Trendsmentioning

confidence: 74%

“…In several reports published in 2016, graphene based nano-sorbents were added to the SLM [36] , [41] , [42] . In one paper, extraction of pramipexole from urine samples was improved with graphene oxide dispersed in the SLM solvent.…”

Section: Recent Trendsmentioning

confidence: 99%

“…While substantial efforts have been reported on optimizing the chemical conditions in the SLM, much less research has been reported on dissolution of additives in the sample, with the purpose of improving mass transfer. However, in several recent papers, surfactants have been added to the sample to improve extraction recoveries [36] , [42] , [44] , [45] . In one paper, Triton X-114 was added to the sample for extraction of pramipexole from urine samples [36] .…”

Section: Recent Trendsmentioning

confidence: 99%

“…Also the use of cationic surfactants has been reported. Thus, cetyltrimethylammonium bromide (CTAB) was added to the sample for extraction of chloramphenicol, and mass transfer of negatively charged analyte molecules was improved through ionic interactions with the cationic surfactant which was located in the SLM/sample interface [42] .…”

Section: Recent Trendsmentioning

confidence: 99%

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Electromembrane extraction–Recent trends and where to go

Pedersen‐Bjergaard

Huang

Gjelstad

2017

Journal of Pharmaceutical Analysis

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Electromembrane extraction (EME) is an analytical microextraction technique, where charged analytes (such as drug substances) are extracted from an aqueous sample (such as a biological fluid), through a supported liquid membrane (SLM) comprising a water immiscible organic solvent, and into an aqueous acceptor solution. The driving force for the extraction is an electrical potential (dc) applied across the SLM. In this paper, EME is reviewed. First, the principle for EME is explained with focus on extraction of cationic and anionic analytes, and typical performance data are presented. Second, papers published in 2016 are reviewed and discussed with focus on (a) new SLMs, (b) new support materials for the SLM, (c) new sample additives improving extraction, (d) new technical configurations, (e) improved theoretical understanding, and (f) pharmaceutical new applications. Finally, important future research objectives and directions are defined for further development of EME, with the aim of establishing EME in the toolbox of future analytical laboratories.

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Section: Recent Trendsmentioning

confidence: 74%

Section: Recent Trendsmentioning

confidence: 99%

Section: Recent Trendsmentioning

confidence: 99%

Section: Recent Trendsmentioning

confidence: 99%

See 2 more Smart Citations

Electromembrane extraction–Recent trends and where to go

Pedersen‐Bjergaard

Huang

Gjelstad

2017

Journal of Pharmaceutical Analysis

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“…Solvents such as 1‐octanol, 1‐heptanol, and 2‐ethylhexanol were evaluated as potential components of the SLM because valproic acid is a weak acid and, as previously reported, acidic compounds are compatible with aliphatic alcohols in EME. Based on a pervious report, the effect of the addition of a cationic surfactant like CTAB in the SLM composition was also evaluated. The results are shown in Figure .…”

Section: Resultsmentioning

confidence: 99%

An electromembrane extraction–HPLC‐UV analysis for the determination of valproic acid in human plasma

Yaripour

Zaheri

Mohammadi

2018

J Chinese Chemical Soc

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In this study, an electromembrane extraction (EME) method combined with a simple HPLC-UV analysis was developed and validated for the determination of valproic acid in human plasma samples. The major parameters influencing EME procedure, namely the solvent composition, voltage, pH of acceptor and donor solutions, salt effect, and time of extraction, were evaluated and optimized. The drug was extracted from the donor aqueous sample solution (pH 5) to the acceptor aqueous solution (pH 13). The donor and acceptor phases were separated by a hollow fiber dipped in 1-octanol as a supported liquid membrane. A voltage of 60 V during 25 min was applied as the driving force. The drug concentration enrichment factor obtained was >125, which enhanced the sensitivity of the method. The limit of detection and the limit of quantitation were 0.2 and 0.5 μg/ mL, respectively. The proposed method was successfully applied to a human plasma sample, with a relative recovery of 75%. The method was linear over the range 0.5-10 μg/mL for valproic acid (R 2 > 0.9996) with a repeatability (%RSD) between 0.9 and 3.3% (n = 3). Valproic acid is an anticonvulsant drug with poor UV absorption, and EME can improve the sensitivity of HPLC-UV for the determination of valproic acid in plasma samples. K E Y W O R D S electromembrane extraction, HPLC-UV, human plasma, valproic acid

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Solvent stir bar microextraction technique with three-hollow fiber configuration for trace determination of nitrite in river water samples

Badiee

Zanjanchi

Zamani

et al. 2019

Environ Sci Pollut Res

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Improved electromembrane microextraction efficiency of chloramphenicol in dairy products: the cooperation of reduced graphene oxide and a cationic surfactant

Abstract: The cooperation effect of reduced graphene oxide in the SLM and CTAB in the donor solution improves the EME performance.

Cited by 21 publications

References 36 publications

Electromembrane extraction–Recent trends and where to go

Electromembrane extraction–Recent trends and where to go

An electromembrane extraction–HPLC‐UV analysis for the determination of valproic acid in human plasma

Solvent stir bar microextraction technique with three-hollow fiber configuration for trace determination of nitrite in river water samples

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