Rapid and Quantitative Detection of the Microbial Spoilage of Meat by Fourier Transform Infrared Spectroscopy and Machine Learning

I. Ellis, David; Broadhurst, David; B. Kell, Douglas; J. Rowland, Jem; Goodacre, Royston

doi:10.1128/aem.68.6.2822-2828.2002

Public

Rapid and Quantitative Detection of the Microbial Spoilage of Meat by Fourier Transform Infrared Spectroscopy and Machine Learning

Shared by NobleBlocks on Jun 1, 2002 • 12:00 AM UTC

Authors:

David I. Ellis

David Broadhurst

Douglas B. Kell

Abstract

ABSTRACT Fourier transform infrared (FT-IR) spectroscopy is a rapid, noninvasive technique with considerable potential for application in the food and related industries. We show here that this technique can be used directly on the surface of food to produce biochemically interpretable “fingerprints...

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