Quantitative, precise and multi-wavelength evaluation of the light-to-heat conversion efficiency for nanoparticular photothermal agents with calibrated photoacoustic spectroscopy.


Journal

Nanoscale
ISSN: 2040-3372
Titre abrégé: Nanoscale
Pays: England
ID NLM: 101525249

Informations de publication

Date de publication:
02 Nov 2023
Historique:
medline: 17 10 2023
pubmed: 17 10 2023
entrez: 17 10 2023
Statut: epublish

Résumé

Biomedical photothermal therapy with optical nanoparticles is based on the conversion of optical energy into heat through three steps: optical absorption, thermal conversion of the absorbed energy and heat transfer to the surrounding medium. The light-to-heat conversion efficiency (LHCE) has become one of the main metrics to quantitatively characterize the last two steps and evaluate the merit of nanoparticules for photothermal therapy. The estimation of the LHCE is mostly performed by monitoring the temperature evolution of a solution under laser irradiation. However, this estimation strongly depends on the experimental set-up and the heat balance model used. We demonstrate here, theoretically and experimentally, that the LHCE at multiple wavelengths can be efficiently and directly determined, without the use of models, by calibrated photoacoustic spectroscopy. The method was validated using already characterized colloidal suspensions of silver sulfide nanoparticles and maghemite nanoflowers and an uncertainty of 3 to 7% was estimated for the LHCE determination. Photoacoustic spectroscopy provides a new, precise and robust method of analysis of the photothermal capabilities of aqueous solutions of nanoagents.

Identifiants

pubmed: 37847496
doi: 10.1039/d3nr03727d
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

17085-17096

Auteurs

Théotim Lucas (T)

Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, F-75006, Paris, France. jerome.gateau@sorbonne-universite.fr.
Université Paris Cité, CNRS UMR 7057, Matière et Systèmes Complexes, MSC, F-75006 Paris, France.

Clément Linger (C)

Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, F-75006, Paris, France. jerome.gateau@sorbonne-universite.fr.
Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, IGPS, F-91400 Orsay, France.

Thomas Naillon (T)

Sorbonne Université, CNRS UMR 7574, Laboratoire Chimie de la Matière Condensée de Paris, F-75005 Paris, France.
Chimie ParisTech, CNRS, PSLResearch University, Institut de Recherche de Chimie Paris, F-75231 Paris, France.

Mahshid Hashemkhani (M)

Université Paris Cité, CNRS UMR 7057, Matière et Systèmes Complexes, MSC, F-75006 Paris, France.

Lise Abiven (L)

Université Paris Cité, CNRS UMR 7057, Matière et Systèmes Complexes, MSC, F-75006 Paris, France.

Bruno Viana (B)

Chimie ParisTech, CNRS, PSLResearch University, Institut de Recherche de Chimie Paris, F-75231 Paris, France.

Corinne Chaneac (C)

Sorbonne Université, CNRS UMR 7574, Laboratoire Chimie de la Matière Condensée de Paris, F-75005 Paris, France.

Gautier Laurent (G)

Université de Franche-Comté, CNRS, Institut UTINAM, F-25000 Besançon, France.

Rana Bazzi (R)

Université de Franche-Comté, CNRS, Institut UTINAM, F-25000 Besançon, France.

Stéphane Roux (S)

Université de Franche-Comté, CNRS, Institut UTINAM, F-25000 Besançon, France.

Sonia Becharef (S)

Université Paris Cité, CNRS UMR 7057, Matière et Systèmes Complexes, MSC, F-75006 Paris, France.

Giulio Avveduto (G)

Université Paris Cité, CNRS UMR 7057, Matière et Systèmes Complexes, MSC, F-75006 Paris, France.

Florence Gazeau (F)

Université Paris Cité, CNRS UMR 7057, Matière et Systèmes Complexes, MSC, F-75006 Paris, France.

Jérôme Gateau (J)

Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, F-75006, Paris, France. jerome.gateau@sorbonne-universite.fr.

Classifications MeSH