Literature DB >> 30532971

Method for Extraction and Quantification of Metal-Based Nanoparticles in Biological Media: Number-Based Biodistribution and Bioconcentration.

Fazel Abdolahpur Monikh1, Latifeh Chupani2, Eliska Zusková2, Ruud Peters3, Marie Vancová4, Martina G Vijver1, Petr Porcal5, Willie J G M Peijnenburg1,6.   

Abstract

A multistep sample preparation method was developed to separate metal-based engineered nanoparticles (ENPs) from biological samples. The method was developed using spiked zebrafish tissues and standard titanium dioxide (TiO2) and cerium dioxide (CeO2) ENPs. Single-particle inductively coupled plasma mass spectrometry was used to quantify the separated particles in terms of number concentration. This method demonstrated mass recoveries of more than 90% and did not strikingly alter the median particles size. High number recoveries were calculated for CeO2 ENPs (>84%). Particle number recoveries were poor for TiO2 ENPs (<25%), which could be due to the interference of 48Ca with the measured isotope 48Ti. The method was verified using zebrafish exposed to CeO2 ENPs to test its applicability for nanotoxicokinetic investigations. Total mass of Ce and particle number concentration of CeO2 ENPs were measured in different tissues. Notably, the mass-based biodistribution of Ce in the tissues did not follow the number-based biodistribution of CeO2. Moreover, the calculated mass-based bioconcentration factors showed a different pattern in comparison to the number-based bioconcentration factors. Our findings suggest that considering mass as the sole dose-metric may not provide sufficient information to investigate toxicity and toxicokinetics of ENPs.

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Year:  2018        PMID: 30532971     DOI: 10.1021/acs.est.8b03715

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  7 in total

1.  High-efficiency mechanically assisted alkaline extraction of nanoparticles from biological tissues for spICP-MS analysis.

Authors:  Ya Gao; Ruiyi Zhang; Huizhen Sun; Yuting Guo; Lan Chen; Xiaoli Shi; Guanglu Ge
Journal:  Anal Bioanal Chem       Date:  2022-02-17       Impact factor: 4.142

Review 2.  Determination of metallic nanoparticles in biological samples by single particle ICP-MS: a systematic review from sample collection to analysis.

Authors:  Adam Laycock; Nathaniel J Clark; Robert Clough; Rachel Smith; Richard D Handy
Journal:  Environ Sci Nano       Date:  2022-01-13

3.  An integrated ICP-MS-based analytical approach to fractionate and characterize ionic and nanoparticulate Ce species.

Authors:  Yingyan Huang; Judy Tsz-Shan Lum; Kelvin Sze-Yin Leung
Journal:  Anal Bioanal Chem       Date:  2022-02-07       Impact factor: 4.478

4.  Dissolved Organic Matter Modulates Algal Oxidative Stress and Membrane System Responses to Binary Mixtures of Nano-Metal-Oxides (nCeO2, nMgO and nFe3O4) and Sulfadiazine.

Authors:  Fan Zhang; Nan Ye; Se Wang; Yue Meng; Hao Fang; Zhuang Wang; De-Gao Wang
Journal:  Nanomaterials (Basel)       Date:  2019-05-07       Impact factor: 5.076

5.  Particle number-based trophic transfer of gold nanomaterials in an aquatic food chain.

Authors:  Fazel Abdolahpur Monikh; Latifeh Chupani; Daniel Arenas-Lago; Zhiling Guo; Peng Zhang; Gopala Krishna Darbha; Eugenia Valsami-Jones; Iseult Lynch; Martina G Vijver; Peter M van Bodegom; Willie J G M Peijnenburg
Journal:  Nat Commun       Date:  2021-02-09       Impact factor: 17.694

Review 6.  Analytical Methods for Nanomaterial Determination in Biological Matrices.

Authors:  Magdalini Vladitsi; Charalampia Nikolaou; Natasa P Kalogiouri; Victoria F Samanidou
Journal:  Methods Protoc       Date:  2022-07-15

7.  Biotransformation modulates the penetration of metallic nanomaterials across an artificial blood-brain barrier model.

Authors:  Zhiling Guo; Peng Zhang; Swaroop Chakraborty; Andrew J Chetwynd; Fazel Abdolahpur Monikh; Christopher Stark; Hanene Ali-Boucetta; Sandra Wilson; Iseult Lynch; Eugenia Valsami-Jones
Journal:  Proc Natl Acad Sci U S A       Date:  2021-07-06       Impact factor: 11.205

  7 in total

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