Commentary on "rapid identification of streptococcus and enterococcus species using diffuse reflectance-absorbance fourier transform infrared spectroscopy and artificial neural networks"

Royston Goodacre, Douglas Kell

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This is an invited review/commentary by the first and last authors of a paper that was the most cited in FEMS Microbiology Letters for 1996, presently showing in excess of 150 citations at Web of Science, and over 200 at Google Scholar. It was the first paper in which diffuse reflectance absorbance FT-IR spectroscopy was used with a supervised learning method in the form of artificial neural networks, and showed that this combination could succeed in discriminating a series of closely related, clinically relevant, Gram-positive bacterial strains.

    Original languageEnglish
    Article numberfnx018
    Pages (from-to)1-4
    Number of pages4
    JournalFEMS microbiology letters
    Volume364
    Issue number10
    DOIs
    Publication statusPublished - 1 May 2017

    Keywords

    • Chemometrics
    • FT-IR spectroscopy
    • Machine learning
    • Neural networks

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