Discrimination of waterborne pathogens, Cryptosporidium parvum oocysts and bacteria using surface-enhanced Raman spectroscopy coupled with principal component analysis and hierarchical clustering.

Arslan, Afra Hacer; Ciloglu, Fatma Uysal; Yilmaz, Ummugulsum; Simsek, Emrah; Aydin, Omer

Arslan, Afra Hacer; Ciloglu, Fatma Uysal; Yilmaz, Ummugulsum; Simsek, Emrah; Aydin, Omer.

Afiliação

Arslan AH; Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey.
Ciloglu FU; Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey.
Yilmaz U; Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey.
Simsek E; Preclinical Sciences, Faculty of Veterinary Medicine, Erciyes University, Kayseri, Turkey.
Aydin O; Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey; ERNAM-Nanotechnology Research and Application Center, Erciyes University, Kayseri, Turkey; ERKAM-Clinical Engineering Research and Application Center, Erciyes University, Kayseri, Turkey. Electronic address: biomer@umich.edu.

Spectrochim Acta A Mol Biomol Spectrosc ; 267(Pt 1): 120475, 2022 Feb 15.

Article em En | MEDLINE | ID: mdl-34653850

Assuntos

Criptosporidiose; Cryptosporidium parvum; Cryptosporidium; Nanopartículas Metálicas; Animais; Bactérias; Análise por Conglomerados; Escherichia coli; Humanos; Oocistos; Análise de Componente Principal; Prata; Análise Espectral Raman; Staphylococcus aureus

Palavras-chave

C. parvum; Hierarchical clustering; Label-free detection; Principal component analysis; Surface-enhanced Raman spectroscopy; Waterborne pathogen

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cryptosporidium parvum / Criptosporidiose / Cryptosporidium / Nanopartículas Metálicas Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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