Literature DB >> 26095720

Asymmetric Flow-Field Flow Fractionation Hyphenated ICP-MS as an Alternative to Cloud Point Extraction for Quantification of Silver Nanoparticles and Silver Speciation: Application for Nanoparticles with a Protein Corona.

Thilak K Mudalige1, Haiou Qu1, Sean W Linder1.   

Abstract

Production and application of nanoparticles in consumer products is at an all-time high due to the emerging field of nanotechnology. Direct detection and quantification of trace levels of nanoparticles within consumer products is very challenging and problematic. Although multiple methodologies are available for this purpose, each method has its own set of limitations. Herein, we developed an analytical platform consisting of asymmetric flow-field flow fractionation (AF4) coupled with inductively coupled plasma mass spectroscopy (ICP-MS) for the speciation and quantification of silver ions and silver nanoparticles at the ng/kg level (ppt). AF4 is utilized to concentrate the nanoparticles, and ICP-MS acts as the detector. The protein corona that forms upon exposure of nanoparticles to bovine serum albumin was utilized as a nanoparticle stabilization and AF4 recovery enhancement mechanism. Speciation of silver ions and nanoparticles was achieved with the assistance of penicillamine as a complexation ligand. The effect of nanoparticle size, surface coating, and ionization state toward the detection and quantification of the developed methodology was evaluated. The detection limit was found to be 4 ng/kg with the application of a 5 mL sample loop. Further application of this developed methodology on environmentally relevant samples was demonstrated by the analysis of Arkansas River water spiked with silver nanoparticles and nanoparticle spiked into humic acid solution (50 mg/L) at an environmentally relevant level.

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Year:  2015        PMID: 26095720     DOI: 10.1021/acs.analchem.5b01592

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 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

2.  Capillary electrophoresis coupled with inductively coupled mass spectrometry as an alternative to cloud point extraction based methods for rapid quantification of silver ions and surface coated silver nanoparticles.

Authors:  Haiou Qu; Thilak K Mudalige; Sean W Linder
Journal:  J Chromatogr A       Date:  2015-12-14       Impact factor: 4.759

3.  Screening Small Metabolites from Cells as Multifunctional Coatings Simultaneously Improves Nanomaterial Biocompatibility and Functionality.

Authors:  Anqi Sun; Zhan Ban; Li Mu; Xiangang Hu
Journal:  Adv Sci (Weinh)       Date:  2018-05-23       Impact factor: 16.806

Review 4.  Asymmetric flow field-flow fractionation as a multifunctional technique for the characterization of polymeric nanocarriers.

Authors:  Federico Quattrini; Germán Berrecoso; José Crecente-Campo; María José Alonso
Journal:  Drug Deliv Transl Res       Date:  2021-01-31       Impact factor: 4.617

5.  An effective solution to simultaneously analyze size, mass and number concentration of polydisperse nanoplastics in a biological matrix: asymmetrical flow field fractionation coupled with a diode array detector and multiangle light scattering.

Authors:  Xing-Ling Luo; Ying-Ting Wu; Ling-Yan Zhang; Ke-Xin Li; Tian-Jiang Jia; Yi Chen; Li-Hong Zhou; Pei-Li Huang
Journal:  RSC Adv       Date:  2021-04-06       Impact factor: 3.361

Review 6.  Isolation methods for particle protein corona complexes from protein-rich matrices.

Authors:  Linda Böhmert; Linn Voß; Valerie Stock; Albert Braeuning; Alfonso Lampen; Holger Sieg
Journal:  Nanoscale Adv       Date:  2020-01-09

7.  Silver nanoparticles as a medical device in healthcare settings: a five-step approach for candidate screening of coating agents.

Authors:  Valentina Marassi; Luisana Di Cristo; Stephen G J Smith; Simona Ortelli; Magda Blosi; Anna L Costa; Pierluigi Reschiglian; Yuri Volkov; Adriele Prina-Mello
Journal:  R Soc Open Sci       Date:  2018-01-31       Impact factor: 2.963

  7 in total

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