Gas Digital Microfluidic Platform: Application to Highly Volatile Compound Preconcentration

Autor: Antoine Enel, Jérôme Vial, Didier Thiébaut, Bertrand Bourlon
Přispěvatelé: Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Chimie-Biologie-Innovation (UMR 8231) (CBI), Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2022
Předmět:
Zdroj: Analytical Chemistry
Analytical Chemistry, 2022, 94 (10), pp.4359-4365. ⟨10.1021/acs.analchem.1c05128⟩
ISSN: 1520-6882
0003-2700
Popis: International audience; Digital microfluidics platforms (DMFP) have shown their efficiency in sample handling, using elementary operations that may be combined to perform complex applications. In this article, we present a new platform for gaseous samples handling involving a two-step digital preconcentration using the miniaturized preconcentrators of the DMFP. Choosing n-pentane at very low concentrations as model for highly volatile compounds, poorly retained on the sorbent, the DMFP allowed to bypass the limit set by the breakthrough volume by repeating an elementary operation. It enabled a five-fold increase of preconcentration factors compared to a single preconcentration step and an easier monitoring of the model compound. Promising applications are expected, as this system could be adapted to most of volatile compounds analysis devices, including micro gas chromatographs, to replace the current single step preconcentration systems. By switching to two-steps preconcentration with a DMFP, i.e., a digital preconcentration, it would be possible to get more concentrated samples through the column for easier trace analysis.
Databáze: OpenAIRE
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