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Schüller M, McQuade TAP, Bergh MSS, Pedersen-Bjergaard S, Øiestad EL. Determination of tryptamine analogs in whole blood by 96-well electromembrane extraction and UHPLC-MS/MS. TALANTA OPEN 2023. [DOI: 10.1016/j.talo.2022.100171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
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2
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Sartore DM, Vargas Medina DA, Bocelli MD, Jordan-Sinisterra M, Santos-Neto ÁJ, Lanças FM. Modern automated microextraction procedures for bioanalytical, environmental, and food analyses. J Sep Sci 2023; 46:e2300215. [PMID: 37232209 DOI: 10.1002/jssc.202300215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 05/27/2023]
Abstract
Sample preparation frequently is considered the most critical stage of the analytical workflow. It affects the analytical throughput and costs; moreover, it is the primary source of error and possible sample contamination. To increase efficiency, productivity, and reliability, while minimizing costs and environmental impacts, miniaturization and automation of sample preparation are necessary. Nowadays, several types of liquid-phase and solid-phase microextractions are available, as well as different automatization strategies. Thus, this review summarizes recent developments in automated microextractions coupled with liquid chromatography, from 2016 to 2022. Therefore, outstanding technologies and their main outcomes, as well as miniaturization and automation of sample preparation, are critically analyzed. Focus is given to main microextraction automation strategies, such as flow techniques, robotic systems, and column-switching approaches, reviewing their applications to the determination of small organic molecules in biological, environmental, and food/beverage samples.
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Affiliation(s)
- Douglas M Sartore
- Departamento de Química e Física Molecular, São Carlos Institute of Chemistry, University of São Paulo, São Carlos, Brazil
| | - Deyber A Vargas Medina
- Departamento de Química e Física Molecular, São Carlos Institute of Chemistry, University of São Paulo, São Carlos, Brazil
| | - Marcio D Bocelli
- Departamento de Química e Física Molecular, São Carlos Institute of Chemistry, University of São Paulo, São Carlos, Brazil
| | - Marcela Jordan-Sinisterra
- Departamento de Química e Física Molecular, São Carlos Institute of Chemistry, University of São Paulo, São Carlos, Brazil
| | - Álvaro J Santos-Neto
- Departamento de Química e Física Molecular, São Carlos Institute of Chemistry, University of São Paulo, São Carlos, Brazil
| | - Fernando M Lanças
- Departamento de Química e Física Molecular, São Carlos Institute of Chemistry, University of São Paulo, São Carlos, Brazil
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Javier Carrasco-Correa E, Kubáň P, Cocovi-Solberg DJ, Miró M. Fully Automated Electric-Field-Driven Liquid Phase Microextraction System with Renewable Organic Membrane As a Front End to High Performance Liquid Chromatography. Anal Chem 2019; 91:10808-10815. [DOI: 10.1021/acs.analchem.9b02453] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
| | - Pavel Kubáň
- Institute of Analytical Chemistry of the Czech Academy of Sciences, Veveří 97, CZ-60200 Brno, Czech Republic
| | - David J. Cocovi-Solberg
- FI-TRACE group, Department of Chemistry, University of the Balearic Islands, Carretera de Valldemossa, km 7.5, E-07122 Palma de Mallorca, Spain
| | - Manuel Miró
- FI-TRACE group, Department of Chemistry, University of the Balearic Islands, Carretera de Valldemossa, km 7.5, E-07122 Palma de Mallorca, Spain
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Worawit C, Cocovi-Solberg DJ, Varanusupakul P, Miró M. In-line carbon nanofiber reinforced hollow fiber-mediated liquid phase microextraction using a 3D printed extraction platform as a front end to liquid chromatography for automatic sample preparation and analysis: A proof of concept study. Talanta 2018; 185:611-619. [PMID: 29759249 DOI: 10.1016/j.talanta.2018.04.007] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 03/31/2018] [Accepted: 04/02/2018] [Indexed: 01/12/2023]
Abstract
A novel concept for automation of nanostructured hollow-fiber supported microextraction, combining the principles of liquid-phase microextraction (LPME) and sorbent microextraction synergically, using mesofluidic platforms is proposed herein for the first time, and demonstrated with the determination of acidic drugs (namely, ketoprofen, ibuprofen, diclofenac and naproxen) in urine as a proof-of-concept applicability. Dispersed carbon nanofibers (CNF) are immobilized in the pores of a single-stranded polypropylene hollow fiber (CNF@HF) membrane, which is thereafter accommodated in a stereolithographic 3D-printed extraction chamber without glued components for ease of assembly. The analytical method involves continuous-flow extraction of the acidic drugs from a flowing stream donor (pH 1.7) into an alkaline stagnant acceptor (20 mmol L-1 NaOH) containing 10% MeOH (v/v) across a dihexyl ether impregnated CNF@HF membrane. The flow setup features entire automation of the microextraction process including regeneration of the organic film and on-line injection of the analyte-laden acceptor phase after downstream neutralization into a liquid chromatograph (LC) for reversed-phase core-shell column-based separation. Using a 12-cm long CNF@HF and a sample volume of 6.4 mL, linear dynamic ranges of ketoprofen, naproxen, diclofenac and ibuprofen, taken as models of non-steroidal anti-inflammatory drugs, spanned from ca. 5-15 µg L-1 to 500 µg L-1 with enhancement factors of 43-97 (against a direct injection of 10 µL standards into LC), and limits of detection from 1.6 to 4.3 µg L-1. Relative recoveries in real urine samples ranged from 97% to 105%, thus demonstrating the reliability of the automatic CNF@HF-LPME method for in-line matrix clean-up and determination of drugs in urine at therapeutically relevant concentrations.
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Affiliation(s)
- Chanatda Worawit
- Chemical Approaches for Food Applications Research Group, Department of Chemistry, Faculty of Science, Chulalongkorn University, Phayathai Rd., Pathumwan, Bangkok 10330, Thailand
| | - David J Cocovi-Solberg
- FI-TRACE group, Department of Chemistry, University of the Balearic Islands, Carretera de Valldemossa, km 7.5, E-07122 Palma de Mallorca, Spain
| | - Pakorn Varanusupakul
- Chemical Approaches for Food Applications Research Group, Department of Chemistry, Faculty of Science, Chulalongkorn University, Phayathai Rd., Pathumwan, Bangkok 10330, Thailand
| | - Manuel Miró
- FI-TRACE group, Department of Chemistry, University of the Balearic Islands, Carretera de Valldemossa, km 7.5, E-07122 Palma de Mallorca, Spain.
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Fuchs D, Hidalgo CR, Ramos Payán M, Petersen NJ, Jensen H, Kutter JP, Pedersen-Bjergaard S. Continuous electromembrane extraction coupled with mass spectrometry – Perspectives and challenges. Anal Chim Acta 2018; 999:27-36. [DOI: 10.1016/j.aca.2017.09.027] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 09/19/2017] [Accepted: 09/20/2017] [Indexed: 10/18/2022]
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7
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Direct coupling of electromembrane extraction to mass spectrometry - Advancing the probe functionality toward measurements of zwitterionic drug metabolites. Anal Chim Acta 2017; 983:121-129. [DOI: 10.1016/j.aca.2017.05.038] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Revised: 05/26/2017] [Accepted: 05/31/2017] [Indexed: 11/23/2022]
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8
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Pedersen-Bjergaard S, Huang C, Gjelstad A. Electromembrane extraction-Recent trends and where to go. J Pharm Anal 2017; 7:141-147. [PMID: 29404030 PMCID: PMC5790682 DOI: 10.1016/j.jpha.2017.04.002] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Revised: 04/06/2017] [Accepted: 04/10/2017] [Indexed: 11/28/2022] Open
Abstract
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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Affiliation(s)
- Stig Pedersen-Bjergaard
- School of Pharmacy, University of Oslo, P.O. Box 1068 Blindern, 0316 Oslo, Norway.,Faculty of Health and Medical Sciences, School of Pharmaceutical Sciences, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark
| | - Chuixiu Huang
- School of Pharmacy, University of Oslo, P.O. Box 1068 Blindern, 0316 Oslo, Norway
| | - Astrid Gjelstad
- School of Pharmacy, University of Oslo, P.O. Box 1068 Blindern, 0316 Oslo, Norway
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Fuchs D, Pedersen-Bjergaard S, Jensen H, Rand KD, Honoré Hansen S, Petersen NJ. Fully Automated Electro Membrane Extraction Autosampler for LC–MS Systems Allowing Soft Extractions for High-Throughput Applications. Anal Chem 2016; 88:6797-804. [DOI: 10.1021/acs.analchem.6b01243] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- David Fuchs
- Department
of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark
| | - Stig Pedersen-Bjergaard
- Department
of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark
- School
of Pharmacy, University of Oslo, P.O. Box 1068 Blindern, 0316 Oslo, Norway
| | - Henrik Jensen
- Department
of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark
| | - Kasper D. Rand
- Department
of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark
| | - Steen Honoré Hansen
- Department
of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark
| | - Nickolaj Jacob Petersen
- Department
of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark
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