Development and validation of a MALDI-TOF MS microbial database for rapid identification of public-, animal-, and plant-health relevant environmental bacteria.

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Projektnummer

11225.1;7 PFLS-LS

Projekttitel

Development and validation of a MALDI-TOF MS microbial database for rapid identification of public-, animal-, and plant-health relevant environmental bacteria.

Projekttitel Englisch

Development and validation of a MALDI-TOF MS microbial database for rapid identification of public-, animal-, and plant-health relevant environmental bacteria.

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Kurzbeschreibung	-	-	-
Abstract	-	-	-

Erfasste Texte

Kategorie	Text
Kurzbeschreibung (Englisch)	Development and validation of a MALDI-TOF MS microbial database for rapid identification of public-, animal-, and plant-health relevant environmental bacteria.
Abstract (Englisch)	MALDI-TOF MS is an emerging tool for routine identification of microorganisms. Reliable identification depends upon a validated and comprehensive database of peptide mass fingerprints. Such databases are currently only available for selected human pathogenic bacteria. Potential applications in wider areas of microbiology present a lucrative market niche. The aim of this project is to develop and validate a robust database useful for routine application in plant, animal and wider public health fields.

Kategorie

Text

Kurzbeschreibung
(Englisch)

Development and validation of a MALDI-TOF MS microbial database for rapid identification of public-, animal-, and plant-health relevant environmental bacteria.

Abstract
(Englisch)

MALDI-TOF MS is an emerging tool for routine identification of microorganisms. Reliable identification depends upon a validated and comprehensive database of peptide mass fingerprints. Such databases are currently only available for selected human pathogenic bacteria. Potential applications in wider areas of microbiology present a lucrative market niche. The aim of this project is to develop and validate a robust database useful for routine application in plant, animal and wider public health fields.