Literature DB >> 26946014

In-situ suspended aggregate microextraction of gold nanoparticles from water samples and determination by electrothermal atomic absorption spectrometry.

Tatiana G Choleva1, Foteini A Kappi1, George Z Tsogas1, Athanasios G Vlessidis1, Dimosthenis L Giokas1.   

Abstract

This work describes a new method for the extraction and determination of gold nanoparticles in environmental samples by means of in-situ suspended aggregate microextraction and electrothermal atomic absorption spectrometry. The method relies on the in-situ formation of a supramolecular aggregate phase through ion-association between a cationic surfactant and a benzene sulfonic acid derivative. Gold nanoparticles are physically entrapped into the aggregate phase which is separated from the bulk aqueous solution by vacuum filtration on the surface of a cellulose filter in the form of a thin film. The film is removed from the filter surface and is dissociated into an acidified methanolic solution which is used for analysis. Under the optimized experimental conditions, gold nanoparticles can be efficiently extracted from water samples with recovery rates between 81.0-93.3%, precision 5.4-12.0% and detection limits as low as 75femtomolL(-1) using only 20mL of sample volume. The satisfactory analytical features of the method along with the simplicity indicate the efficiency of this new approach to adequately collect and extract gold nanoparticle species from water samples.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Electrothermal atomic absorption spectrometry; Gold nanoparticles; In-situ suspended aggregate microextraction; Natural waters

Year:  2016        PMID: 26946014     DOI: 10.1016/j.talanta.2016.01.030

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

Review 1.  Preconcentration and Separation of Gold Nanoparticles from Environmental Waters Using Extraction Techniques Followed by Spectrometric Quantification.

Authors:  Ingrid Hagarová; Lucia Nemček; Martin Šebesta; Ondřej Zvěřina; Peter Kasak; Martin Urík
Journal:  Int J Mol Sci       Date:  2022-09-28       Impact factor: 6.208

  1 in total

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