Rapid identification of urinary tract infection bacteria using hyperspectral whole-organism fingerprinting and artificial neural networks

Goodacre, Royston; M Timmins, Éadaoin; Burton, Rebecca; Kaderbhai, Naheed; M. Woodward, Andrew; B. Kell, Douglas; J. Rooney, Paul

doi:10.1099/00221287-144-5-1157

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Rapid identification of urinary tract infection bacteria using hyperspectral whole-organism fingerprinting and artificial neural networks

Shared by NobleBlocks on May 1, 1998 • 12:00 AM UTC

Authors:

Royston Goodacre

Éadaoin M Timmins

Rebecca Burton

Abstract

Three rapid spectroscopic approaches for whole-organism fingerprinting-pyrolysis mass spectrometry (PyMS), Fourier transform infra-red spectroscopy (FT-IR) and dispersive Raman microscopy - were used to analyse a group of 59 clinical bacterial isolates associated with urinary tract infection. Direct...

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