Literature DB >> 18778831

Optimisation of asymmetrical flow field flow fractionation for environmental nanoparticles separation.

S Dubascoux1, F Von Der Kammer, I Le Hécho, M Potin Gautier, G Lespes.   

Abstract

The fractionation of natural nanoparticles by Asymmetrical Flow Field Flow Fractionation (As-Fl-FFF) was optimised by considering the following operating conditions: ionic strength, surfactant concentration and crossflow rate. The method performances such as fractionation recovery and fractionation efficiency were evaluated on a stable solution of colloidal-size natural inorganic particles. The online multi-detection by ultraviolet/visible spectrophotometer (UV) and multi-angle laser light scattering (MALLS) provided the monitoring of the sample during the separation and the evaluation of the fractionation efficiency. The lowest ionic strength and surfactant concentrations (i.e. 10(-3) mol L(-1) NH4NO3 and 3 x 10(-4) mol L(-1) SDS) allowed to obtain the highest sample recovery and lowest loss of the largest particles. The crossflow rate was investigated in order to avoid significant membrane-sample interaction. The applicability of the fractionation in optimised conditions was evaluated on a natural soil leachate, which was filtrated with different filter cut-offs. Filtration efficiency was stressed by the decrease of the large unfractionated particle influence in the void volume. For the first time, robust operating conditions were proposed to well size-fractionate and characterize soil nanoparticles within a single multi-detection analysis.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18778831     DOI: 10.1016/j.chroma.2008.07.032

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  5 in total

1.  Investigation of cloud point extraction for the analysis of metallic nanoparticles in a soil matrix.

Authors:  Hind El Hadri; Vincent A Hackley
Journal:  Environ Sci Nano       Date:  2016-10-19

Review 2.  Application of flow field-flow fractionation for the characterization of macromolecules of biological interest: a review.

Authors:  Rashid Nazir Qureshi; Wim T Kok
Journal:  Anal Bioanal Chem       Date:  2010-10-20       Impact factor: 4.142

3.  Detection of Engineered Copper Nanoparticles in Soil Using Single Particle ICP-MS.

Authors:  Jana Navratilova; Antonia Praetorius; Andreas Gondikas; Willi Fabienke; Frank von der Kammer; Thilo Hofmann
Journal:  Int J Environ Res Public Health       Date:  2015-12-10       Impact factor: 3.390

4.  Optimization of hyphenated asymmetric flow field-flow fractionation for the analysis of silver nanoparticles in aqueous solutions.

Authors:  Felix Geißler; María Martínez-Cabanas; Pablo Lodeiro; Eric P Achterberg
Journal:  Anal Bioanal Chem       Date:  2021-09-19       Impact factor: 4.142

5.  Use of flow field-flow fractionation and single particle inductively coupled plasma mass spectrometry for size determination of selenium nanoparticles in a mixture.

Authors:  Luluil Maknun; Jitapa Sumranjit; Atitaya Siripinyanond
Journal:  RSC Adv       Date:  2020-02-11       Impact factor: 4.036

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.