2016
DOI: 10.1016/j.aca.2015.11.017
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A fully automated effervescence assisted dispersive liquid–liquid microextraction based on a stepwise injection system. Determination of antipyrine in saliva samples

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Cited by 35 publications
(10 citation statements)
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References 32 publications
(31 reference statements)
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“…Thus, they produce a high-amplitude signal (Figure A–F), while no trapping is used. Interestingly, effervescence is also utilized to enhance dispersive liquid–liquid microextraction, in which case, organic solvent is dispersed in the whole aqueous sample . Fizzy extraction does not use immiscible organic solvent as an extracting phase.…”
Section: Resultsmentioning
confidence: 99%
“…Thus, they produce a high-amplitude signal (Figure A–F), while no trapping is used. Interestingly, effervescence is also utilized to enhance dispersive liquid–liquid microextraction, in which case, organic solvent is dispersed in the whole aqueous sample . Fizzy extraction does not use immiscible organic solvent as an extracting phase.…”
Section: Resultsmentioning
confidence: 99%
“…The extracts are finally analyzed by UV-vis spectroscopy. The same year, they proposed the first approach for the complete automation of the technique using the determination of antipyrine in saliva samples as the model analytical problem [58]. For this purpose, a stepwise injection analysis system was designed containing a mixing chamber as the core element.…”
Section: Alternative Workflows For Ea-dllmementioning
confidence: 99%
“…Very recently, effervescence as a novel dispersion technique, which operates on the basis of in-situ generation of CO 2 , has been successfully developed and applied for the dispersion of extractant without disperser solvent or additional energy (Lasarte-Aragonés et al 2014). Following the pioneering research of LasarteAragonés et al (2014), this novel disperser-solventfree microextraction methodology termed as effervescence assisted dispersive liquid-liquid microextraction (EA-DLLME) has demonstrated excellent extraction yields for trace analysis (Jiang et al 2014;Medinskaia et al 2016;Yang et al 2016).…”
Section: Introductionmentioning
confidence: 98%