In-Situ Elemental Composition Analysis of Large Inhalable Aerosol Using Laser Induced Breakdown Spectroscopy.

Aerosol LIBS background removal laser-induced breakdown spectroscopy material identification

Journal

Applied spectroscopy
ISSN: 1943-3530
Titre abrégé: Appl Spectrosc
Pays: United States
ID NLM: 0372406

Informations de publication

Date de publication:
Mar 2023
Historique:
pubmed: 7 12 2022
medline: 7 12 2022
entrez: 6 12 2022
Statut: ppublish

Résumé

The ability to obtain information on the composition of airborne particles is a necessary part of identifying and controlling risks from exposure to potentially toxic materials, especially in the workplace. However, very few aerosol sampling instruments can characterize elemental composition in real time or measure large inhalable particles with aerodynamic diameter exceeding 20 µm. Here, we present the development and validation of a method for real time elemental composition analysis of large inhalable particles using laser-induced breakdown spectroscopy (LIBS). The prototype sensor uses a passive inlet and an optical triggering system to ablate falling particles with an LIBS plasma. Particle composition is quantified based on collected emission spectra using a real-time material classification algorithm. The approach was validated with a set of 1480 experimental spectra from four different aerosol test materials. We have studied effects of varying detection thresholds and find operating conditions with good agreement to truth values (F

Identifiants

pubmed: 36474309
doi: 10.1177/00037028221146804
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

261-269

Auteurs

James Sipich (J)

Department of Mechanical Engineering, 3447Colorado State University, Fort Collins, CO, USA.

Christian L'Orange (C)

Department of Mechanical Engineering, 3447Colorado State University, Fort Collins, CO, USA.

John Volckens (J)

Department of Mechanical Engineering, 3447Colorado State University, Fort Collins, CO, USA.

Azer Yalin (A)

Department of Mechanical Engineering, 3447Colorado State University, Fort Collins, CO, USA.

Classifications MeSH