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Rapid identification of bacterial mixtures in urine using MALDI-TOF MS-based algorithm profiling coupled with magnetic enrichment.
Cheng, Wenmin; Shi, Haimei; Teng, Mengjing; Yu, Menghuan; Feng, Bin; Ding, Chuanfan; Yu, Shaoning; Yang, Fan.
Afiliação
  • Cheng W; Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China. fengbin@nbu.edu.cn.
  • Shi H; Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China. fengbin@nbu.edu.cn.
  • Teng M; Kweichow Moutai Group, Renhuai, Guizhou, 564501, China.
  • Yu M; Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China. fengbin@nbu.edu.cn.
  • Feng B; Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China. fengbin@nbu.edu.cn.
  • Ding C; Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China. fengbin@nbu.edu.cn.
  • Yu S; Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China. fengbin@nbu.edu.cn.
  • Yang F; Kweichow Moutai Group, Renhuai, Guizhou, 564501, China.
Analyst ; 147(3): 443-449, 2022 Jan 31.
Article em En | MEDLINE | ID: mdl-34985055
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Infecções Urinárias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Analyst Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Infecções Urinárias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Analyst Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido