title: A fully automated effervescence assisted dispersive liquid-liquid microextraction based on a stepwise injection system. Determination of antipyrine in saliva samples
metadata.name: dc.contributor.author
metadata.value: Medinskaia, Kseniia
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Vakh, Christina
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Aseeva, Darina
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Andruch, Vasil
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Moskvin, Leonid
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Bulatov, Andrey
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2016-04-17T20:38:19Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2016-04-17T20:38:19Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2016-01-01
metadata.lang: -
metadata.name: dc.identifier
metadata.value: 10.1016/j.aca.2015.11.017
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Analytica Chimica Acta 902 (2016) 129–134
metadata.lang: en_GB
metadata.name: dc.identifier.issn
metadata.value: 10.1016/j.aca.2015.11.017
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/2117
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: A first attempt to automate the effervescence assisted dispersive liquid-liquid microextraction (EA-DLLME) has been reported. The method is based on the aspiration of a sample and all required aqueous reagents into the stepwise injection analysis (SWIA) manifold, followed by simultaneous counterflow injection of the extraction solvent (dichloromethane), the mixture of the effervescence agent (0.5 mol L(-1) Na2CO3) and the proton donor solution (1 mol L(-1) CH3COOH). Formation of carbon dioxide microbubbles generated in situ leads to the dispersion of the extraction solvent in the whole aqueous sample and extraction of the analyte into organic phase. Unlike the conventional DLLME, in the case of EA-DLLME, the addition of dispersive solvent, as well as, time consuming centrifugation step for disruption of the cloudy state is avoided. The phase separation was achieved by gentle bubbling of nitrogen stream (2 mL min(-1) during 2 min). The performance of the suggested approach is demonstrated by determination of antipyrine in saliva samples. The procedure is based on the derivatization of antipyrine by nitrite-ion followed by EA-DLLME of 4-nitrosoantipyrine and subsequent UV-Vis detection using SWIA manifold. The absorbance of the yellow-colored extract at the wavelength of 345 nm obeys Beer's law in the range of 1.5-100 µmol L(-1) of antipyrine in saliva. The LOD, calculated from a blank test based on 3σ, was 0.5 µmol L(-1).
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: TheauthorsacknowledgefundsfromtheRussianFounda-tionforBasicResearch(Projectno.13-03-00031-a,14-03-31092mol_aand15-33-20068),theScientificGrantAgencyoftheMinistryofEducationoftheSlovakRepublic(Grantno.VEGA1/0010/15),theEuropeanSocialFund(ESF)(ProjectKVARKcode:ITMS26110230084).ScientificresearchwasperformedattheCen-terforChemicalAnalysisandMaterialsResearchofSt.PetersburgStateUniversity.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: Elsevier
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Effervescencedispersiveliquid–liquidmicroextraction
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Automation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Stepwiseinjectionanalysis
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Antipyrine
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Saliva
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: A fully automated effervescence assisted dispersive liquid-liquid microextraction based on a stepwise injection system. Determination of antipyrine in saliva samples
metadata.lang: en_GB
resources.filename: Antipyrine_ACA_2016.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/2117/1/Antipyrine_ACA_2016.pdf
resources.format: Adobe PDF
resources.size: 1,04 MB