journal article·2018

A method for the quantitative extraction of gold nanoparticles from human bronchoalveolar lavage fluids through a glycerol gradient

Dimitrios Bitounis, Vincent Barnier, Cyril Guibert, Jérémie Pourchez, Valérie Forest, Delphine Boudard, Jean-François Hochepied, Pierre Chelle, Jean-Michel Vergnon, Michèle Cottier

Nanoscale· Volume 10· Issue 6
Publisher page

Abstract

Bronchoalveolar lavage (BAL) is a diagnostic procedure which samples the cellular and non-cellular components of the pulmonary epithelial surface. The inherent biological noise of BAL fluids inhibits their direct mineralogical analysis while currently available particle retrieval protocols are suspected to impose quantitative and qualitative bias on the studied particle load. This study presents a simple method for the near-lossless extraction of citrate-capped gold nanoparticles from human BAL fluids at sub-ppm levels which enables their quantitation and surface characterization. This procedure was modeled according to fundamental principles of particle sedimentation and liquid-liquid interdiffusion and was evaluated by a battery of analytical techniques. The extraction yield of gold nanoparticles ranged from 61 to 86%, with a quantitation limit at 0.5 μg ml-1, as measured by inductively-coupled optical emission spectroscopy. Dynamic light scattering could resolve the hydrodynamic size distribution of extracted particles which returned significantly different photon count rates at various concentrations. Their shape and primary size were easily observable by electron microscopy while atomic force microscopy, Auger electron spectroscopy and X-ray photoelectron spectroscopy could respectively probe the particles' biomolecular corona, detect surface-adsorbed S- and N- species, and identify carbon-based covalent bonds.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Inhalation and Respiratory Drug Delivery · Nanoparticle-Based Drug Delivery · Biosensors and Analytical Detection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Université de Lyon

Faculté de Médecine

INSERM U1059 SAINBIOSE

F-42270 Saint-Etienne

France

Ecole Nationale Supérieure des Mines

SMS-EMSE

CNRS:UMR5307

LGF

F-42023 Saint-Etienne

CHU Saint-Etienne

Department of Chest Diseases and Thoracic Oncology

F-42055 Saint-Etienne

Ecole Nationale Supérieure des Mines de Saint-Etienne

CIS-EMSE

SAINBIOSE

F-42023 Saint Etienne

MINES ParisTech

PSL Research University

MAT – Centre des matériaux

CNRS UMR 7633

BP 87 91003 Evry

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