A review on hyphenation of droplet microfluidics to separation techniques: From instrumental conception to analytical applications for limited sample volumes

In this study, we review various strategies to couple sample processing in microfluidic droplets with different separation techniques, including liquid chromatography, mass spectrometry, and capillary electrophoresis. Separation techniques interfaced with droplet microfluidics represent an emerging...

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Veröffentlicht in:Analytica chimica acta 2024-02, Vol.1291, p.342090-342090, Article 342090
Hauptverfasser: Zohouri, Delaram, Lienard-Mayor, Théo, Obeid, Sameh, Taverna, Myriam, Mai, Thanh Duc
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container_start_page 342090
container_title Analytica chimica acta
container_volume 1291
creator Zohouri, Delaram
Lienard-Mayor, Théo
Obeid, Sameh
Taverna, Myriam
Mai, Thanh Duc
description In this study, we review various strategies to couple sample processing in microfluidic droplets with different separation techniques, including liquid chromatography, mass spectrometry, and capillary electrophoresis. Separation techniques interfaced with droplet microfluidics represent an emerging trend in analytical chemistry, in which micro to femtoliter droplets serve as microreactors, a bridge between analytical modules, as well as carriers of target analytes between sample treatment and separation/detection steps. This allows to overcome the hurdles encountered in separation science, notably the low degree of module integration, working volume incompatibility, and cross contamination between different operational stages. For this droplet-separation interfacing purpose, this review covers different instrumental designs from all works on this topic up to May 2023, together with our viewpoints on respective advantages and considerations. Demonstration and performance of droplet-interfaced separation strategies for limited sample volumes are also discussed.
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title A review on hyphenation of droplet microfluidics to separation techniques: From instrumental conception to analytical applications for limited sample volumes
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