Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Determinazione di acidi perfluoroalchilici in biota e sedimento mediante LC-MS/MS accoppiata alla purificazione on-line degli estratti tramite Turbulent Flow Chromatography

Academic Article
Publication Date:
2017
abstract:
A new method was developed for the analysis of 8 perfluoroalkyl carboxylic acids (PFCA) from 5 to 12 carbon atoms and 3 perfluoroalkyl sulfonic acids (PFSA) of 4, 6 and 8 carbon atoms in environmental samples (biota and sediment). The method includes sonicated-assisted extraction with acetonitrile and the purification online of the extract by Turbulent Flow Chromatography (TFC) coupled to the analysis with Ultra High Performance Liquid Chromatography - Mass Spectrometry (UHPLC-MS/MS). The quantitation is performed by isotopic dilution using stable isotope labelled standards. In biological samples the phospholipids are further removed using Ultra HybridSPE®Phospholipid cartridges. The linearity, in a range of two orders of magnitude (between 0.5 and 50 g/L to PFUnDA and PFDoDA and between 1 and 100 mg/L for the other compounds), was good and the recoveries of the compounds in mussel samples are comprised between 98 and 133% for PFCA and between 40 and 60% for the PFSA. MLD and MLQ vary between 0.03 and 0.3 ng/g ww and from 0.1 to 0.9 ng/g ww, respectively. The repeatability (intra-day precision) shows RSD from 3 to 13% while the reproducibility (inter-day precision) from 4 to 27%. This method, which provides a high automation and limits sample manipulation, allows a high analytical productivity in environmental monitoring programs.
Iris type:
01.01 Articolo in rivista
Keywords:
LC-MS; perfluorinated compounds; phospholipid
List of contributors:
Rusconi, Marianna; Mazzoni, Michela; Polesello, Stefano; Valsecchi, SARA MARIA
Authors of the University:
POLESELLO STEFANO
RUSCONI MARIANNA DOMENICA
VALSECCHI SARA MARIA
Handle:
https://iris.cnr.it/handle/20.500.14243/334193
Published in:
NOTIZIARIO DEI METODI ANALITICI (ONLINE)
Journal
  • Overview

Overview

URL

http://www.irsa.cnr.it/index.php/ita/prodotti-della-ricerca/notiziario
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)