2021
DOI: 10.1002/jssc.202100048
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Optimization of an ultrasound‐assisted alcohol‐based deep eutectic solvent dispersive liquid‐phase microextraction for separation and preconcentration of quercetin in wine and food samples with response surface methodology

Abstract: We optimized ultrasound-assisted alcohol-based deep eutectic solvent dispersive liquid-phase microextraction for separation and preconcentration of quercetin in wine and food samples by experimental design based on central composite design. Five different alcohol-based deep eutectic solvents were prepared and tested for quercetin extraction. The effect of important parameters and matrix components were optimized. After optimization, the determination of quercetin was performed at 385 nm using spectrophotometry… Show more

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Cited by 18 publications
(2 citation statements)
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“…This mode of heterogeneous LLME is known as liquid phase microextraction and it allows higher sample enrichment due to the small volume of the extractant, which make the analyte highly concentrated. DLLME [14][15][16] is a special mode of heterogeneous LLME in which a disperser (such as methanol or acetonitrile) is added to the water immiscible extractant to increase contact surface with aqueous phase and improve the accessibility to the analyte [17][18][19].…”
Section: Introductionmentioning
confidence: 99%
“…This mode of heterogeneous LLME is known as liquid phase microextraction and it allows higher sample enrichment due to the small volume of the extractant, which make the analyte highly concentrated. DLLME [14][15][16] is a special mode of heterogeneous LLME in which a disperser (such as methanol or acetonitrile) is added to the water immiscible extractant to increase contact surface with aqueous phase and improve the accessibility to the analyte [17][18][19].…”
Section: Introductionmentioning
confidence: 99%
“…Thus, this work aimed to develop a rapid ecofriendly IL-DLLME method for the extraction of t,t-MA in urine samples followed by HPLC-UV analysis. Besides, to assess the effects of factors and interactions simultaneously with a minimum of experimental runs, a multivariate approach based on central composite design (CCD) was also exploited for optimization of effective variables [23][24][25].…”
Section: Introductionmentioning
confidence: 99%