Automated identification and quantification of tire wear particles (TWP) in airborne dust: SEM/EDX single particle analysis coupled to a machine learning classifier.

Rausch, Juanita; Jaramillo-Vogel, David; Perseguers, Sébastien; Schnidrig, Nicolas; Grobéty, Bernard; Yajan, Phattadon

Rausch, Juanita; Jaramillo-Vogel, David; Perseguers, Sébastien; Schnidrig, Nicolas; Grobéty, Bernard; Yajan, Phattadon.

Afiliação

Rausch J; Particle Vision GmbH, Passage du Cardinal 11, 1700 Fribourg, Switzerland. Electronic address: juanita.rausch@particle-vision.ch.
Jaramillo-Vogel D; Particle Vision GmbH, Passage du Cardinal 11, 1700 Fribourg, Switzerland.
Perseguers S; Gradiom Sàrl, Avenue de Tivoli 4, 1700 Fribourg, Switzerland.
Schnidrig N; Particle Vision GmbH, Passage du Cardinal 11, 1700 Fribourg, Switzerland.
Grobéty B; Department of Geoscience, University of Fribourg, Chemin du Musee 6, 1700 Fribourg, Switzerland.
Yajan P; Adolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, 1700 Fribourg, Switzerland.

Sci Total Environ ; 803: 149832, 2022 Jan 10.

Article em En | MEDLINE | ID: mdl-34525712

Assuntos

Poluentes Atmosféricos; Poeira; Poeira/análise; Monitoramento Ambiental; Aprendizado de Máquina; Tamanho da Partícula; Material Particulado/análise; Imagem Individual de Molécula; Emissões de Veículos/análise

Palavras-chave

Automated classification; Coarse mode; Machine learning; Micro-rubber; Non-exhaust particles; SEM/EDX single particle analysis; Tire wear

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poeira Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2022 Tipo de documento: Article

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