Data/hora: 08/06/2024 01:17:48

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

restricted use