Unveiling elemental fingerprints: A comparative study of clustering methods for multi-element nanoparticle data.

Erfani, Mahdi; Baalousha, Mohammed; Goharian, Erfan

Erfani, Mahdi; Baalousha, Mohammed; Goharian, Erfan.

Afiliação

Erfani M; Department of Civil and Environmental Engineering, University of South Carolina, SC 29208, USA.
Baalousha M; Center for Environmental Nanoscience and Risk, Department of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29201, USA. Electronic address: mbaalous@mailbox.sc.edu.
Goharian E; Department of Civil and Environmental Engineering, University of South Carolina, SC 29208, USA. Electronic address: goharian@cec.sc.edu.

Sci Total Environ ; 905: 167176, 2023 Dec 20.

Article em En | MEDLINE | ID: mdl-37730026

Palavras-chave

Engineered nanoparticles; High dimensional data; Mass spectrometry; Multi-element single nanoparticle; Nonlinear clustering; Spectral clustering; tSNE

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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos