Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/349009
Type: Artigo
Title: Short communication: Identification of subclinical cow mastitis pathogens in milk by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry
Author: Barreiro, J.R.
Ferreira, C.R.
Sanvido, G.B.
Kostrzewa, M.
Maier, T.
Wegemann, B.
Böttcher, V.
Eberlin, M.N.
dos Santos, M.V.
Abstract: Subclinical mastitis is a common and easily disseminated disease in dairy herds. Its routine diagnosis via bacterial culture and biochemical identification is a difficult and time-consuming process. In this work, we show that matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) allows bacterial identification with high confidence and speed (1 d for bacterial growth and analysis). With the use of MALDI-TOF MS, 33 bacterial culture isolates from milk of different dairy cows from several farms were analyzed, and the results were compared with those obtained by classical biochemical methods. This proof-of-concept case demonstrates the reliability of MALDI-TOF MS bacterial identification, and its increased selectivity as illustrated by the additional identification of coagulase-negative Staphylococcus species and mixed bacterial cultures. Matrix-assisted laser desorption-ionization mass spectrometry considerably accelerates the diagnosis of mastitis pathogens, especially in cases of subclinical mastitis. More immediate and efficient animal management strategies for mastitis and milk quality control in the dairy industry can therefore be applied.
Subject: Espectrometria de massas por ionização e dessorção a laser assistida por matriz
Country: Estados Unidos
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.3168/jds.2010-3614
Address: https://www.sciencedirect.com/science/article/pii/S0022030210006156
Date Issue: 2010
Appears in Collections:IQ - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-78649262549.pdf508.43 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.