Data/hora: 13/06/2024 05:20:57

Provedor de dados: | Institutional Archive of Ifreme (ArchiMer)
País: | France
Título: | 3D-printed flow system for determination of lead in natural waters
Autores: | Mattio, Elodie; Robert-peillard, Fabien; Branger, Catherine; Puzio, Kinga; Margaillan, Andre; Brach-papa, Christophe; Knoery, Joel; Boudenne, Jean-luc; Coulomb, Bruno.
Data: | 2017-06
Ano: | 2017
Palavras-chave: | Lead determination; 3D-printed MPFS system; Stereolithography; Natural waters.
Resumo: | The development of 3D printing in recent years opens up a vast array of possibilities in the field of flow analysis. In the present study, a new 3D-printed flow system has been developed for the selective spectrophotometric determination of lead in natural waters. This system was composed of three 3D-printed units (sample treatment, mixing coil and detection) that might have been assembled without any tubing to form a complete flow system. Lead was determined in a two-step procedure. A preconcentration of lead was first carried out on TrisKem Pb Resin located in a 3D-printed column reservoir closed by a tapped screw. This resin showed a high extraction selectivity for lead over many tested potential interfering metals. In a second step, lead was eluted by ammonium oxalate in presence of 4-(2-pyridylazo)-resorcinol (PAR), and spectrophotometrically detected at 520 nm. The optimized flow system has exhibited a linear response from 3 to 120 µg L−1. Detection limit, coefficient of variation and sampling rate were evaluated at 2.7 µg L−1, 5.4% (n=6) and 4 sample h−1, respectively. This flow system stands out by its fully 3D design, portability and simplicity for low cost analysis of lead in natural waters.
Tipo: | Text
Idioma: | Inglês

Identificador:

https://archimer.ifremer.fr/doc/00377/48770/49290.pdf

DOI:10.1016/j.talanta.2017.03.059

https://archimer.ifremer.fr/doc/00377/48770/

Editor: | Elsevier Science Bv
Formato: | application/pdf
Fonte: | Talanta (0039-9140) (Elsevier Science Bv), 2017-06 , Vol. 168 , P. 298-302

Fonte:

2017 Elsevier B.V. All rights reserved.

info:eu-repo/semantics/openAccess

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