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Automated dispersive liquid-liquid microextraction based on the solidification of the organic phase

Citation

Medina, DAV and Santos-Neto, AJ and Cerda, V and Maya, F, Automated dispersive liquid-liquid microextraction based on the solidification of the organic phase, Talanta, 189 pp. 241-248. ISSN 0039-9140 (2018) [Refereed Article]

Copyright Statement

Copyright 2018 Elsevier B.V.

DOI: doi:10.1016/j.talanta.2018.06.081

Abstract

In this work, the dispersive liquid-liquid microextraction technique based on the solidification of the organic phase (DLLME-SFO) has been automated for the first time. DLLME-SFO is automated by hyphenating a sequential injection analysis (SIA) system with a custom-made robotic phase separator. Automated in-syringe DLLME is followed by phase separation in a 3D printed device integrating a Peltier cell set, mounted on a multi-axis robotic arm. The combined action of the flow system and the robotic arm is controlled by a single software package, enabling the solidification/melting and collection of the organic phase for further analyte quantification.

As proof-of-concept, automated DLLME-SFO was applied to the extraction of parabens followed by separation using liquid chromatography, obtaining LODs between 0.3 and 1.3 g L−1 (4 mL of sample extracted in 1 mL of 1-dodecanol: MeOH, 15:85, v-v). The method showed a high reproducibility, obtaining intraday RSDs between 4.6% and 5.8% (n = 6), and interday RSDs between 5.6% and 8.6% (n = 6). The developed method was evaluated for the determination of parabens in water, urine, saliva, and personal care products.

Item Details

Item Type:Refereed Article
Keywords:3D printing, flow analysis, dispersive liquid-liquid microextraction, solidification of the organic phase, in-syringe extraction, open-source robotics
Research Division:Chemical Sciences
Research Group:Analytical Chemistry
Research Field:Flow Analysis
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Chemical Sciences
UTAS Author:Maya, F (Mr Fernando Maya Alejandro)
ID Code:127821
Year Published:2018
Web of Science® Times Cited:6
Deposited By:Chemistry
Deposited On:2018-08-19
Last Modified:2018-09-11
Downloads:0

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