Rapid discrimination of Enterococcus faecium strains using phenotypic analytical techniquesCitation formats

  • External authors:
  • Najla AlMasoud
  • Yun Xu
  • David Ellis
  • Paul Rooney
  • Jane Turton

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Rapid discrimination of Enterococcus faecium strains using phenotypic analytical techniques. / AlMasoud, Najla; Xu, Yun; Ellis, David; Rooney, Paul; Turton, Jane; Goodacre, Royston.

In: Analytical Methods, Vol. 8, No. 42, 2016, p. 7603-7613.

Research output: Contribution to journalArticle

Harvard

AlMasoud, N, Xu, Y, Ellis, D, Rooney, P, Turton, J & Goodacre, R 2016, 'Rapid discrimination of Enterococcus faecium strains using phenotypic analytical techniques' Analytical Methods, vol. 8, no. 42, pp. 7603-7613. https://doi.org/10.1039/C6AY02326F

APA

AlMasoud, N., Xu, Y., Ellis, D., Rooney, P., Turton, J., & Goodacre, R. (2016). Rapid discrimination of Enterococcus faecium strains using phenotypic analytical techniques. Analytical Methods, 8(42), 7603-7613. https://doi.org/10.1039/C6AY02326F

Vancouver

Author

AlMasoud, Najla ; Xu, Yun ; Ellis, David ; Rooney, Paul ; Turton, Jane ; Goodacre, Royston. / Rapid discrimination of Enterococcus faecium strains using phenotypic analytical techniques. In: Analytical Methods. 2016 ; Vol. 8, No. 42. pp. 7603-7613.

Bibtex

@article{96c808e4251d4816ab3220e2d2f5adf3,
title = "Rapid discrimination of Enterococcus faecium strains using phenotypic analytical techniques",
abstract = "Clinical isolates of glycopeptide resistant enterococci (GRE) were used to compare three rapid phenotyping and analytical techniques. Fourier transform infrared (FT-IR) spectroscopy, Raman spectroscopy and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) were used to classify 35 isolates of Enterococcus faecium representing 12 distinct pulsed-field gel electrophoresis (PFGE) types. The results show that the three analytical techniques provide clear discrimination among enterococci at both the strain and isolate levels. FT-IR and Raman spectroscopic data produced very similar bacterial discrimination, reflected in the Procrustes distance between the datasets (0.2125–0.2411, p < 0.001); however, FT-IR data provided superior prediction accuracy to Raman data with correct classification rates (CCR) of 89{\%} and 69{\%} at the strain level, respectively. MALDI-TOF-MS produced slightly different classification of these enterococci strains also with high CCR (78{\%}). Classification data from the three analytical techniques were consistent with PFGE data especially in the case of isolates identified as unique by PFGE. This study presents phenotypic techniques as a complementary approach to current methods with a potential for high-throughput point-of-care screening enabling rapid and reproducible classification of clinically relevant enterococci.",
author = "Najla AlMasoud and Yun Xu and David Ellis and Paul Rooney and Jane Turton and Royston Goodacre",
year = "2016",
doi = "10.1039/C6AY02326F",
language = "English",
volume = "8",
pages = "7603--7613",
journal = "Analytical Methods",
issn = "1759-9660",
publisher = "Royal Society of Chemistry",
number = "42",

}

RIS

TY - JOUR

T1 - Rapid discrimination of Enterococcus faecium strains using phenotypic analytical techniques

AU - AlMasoud, Najla

AU - Xu, Yun

AU - Ellis, David

AU - Rooney, Paul

AU - Turton, Jane

AU - Goodacre, Royston

PY - 2016

Y1 - 2016

N2 - Clinical isolates of glycopeptide resistant enterococci (GRE) were used to compare three rapid phenotyping and analytical techniques. Fourier transform infrared (FT-IR) spectroscopy, Raman spectroscopy and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) were used to classify 35 isolates of Enterococcus faecium representing 12 distinct pulsed-field gel electrophoresis (PFGE) types. The results show that the three analytical techniques provide clear discrimination among enterococci at both the strain and isolate levels. FT-IR and Raman spectroscopic data produced very similar bacterial discrimination, reflected in the Procrustes distance between the datasets (0.2125–0.2411, p < 0.001); however, FT-IR data provided superior prediction accuracy to Raman data with correct classification rates (CCR) of 89% and 69% at the strain level, respectively. MALDI-TOF-MS produced slightly different classification of these enterococci strains also with high CCR (78%). Classification data from the three analytical techniques were consistent with PFGE data especially in the case of isolates identified as unique by PFGE. This study presents phenotypic techniques as a complementary approach to current methods with a potential for high-throughput point-of-care screening enabling rapid and reproducible classification of clinically relevant enterococci.

AB - Clinical isolates of glycopeptide resistant enterococci (GRE) were used to compare three rapid phenotyping and analytical techniques. Fourier transform infrared (FT-IR) spectroscopy, Raman spectroscopy and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) were used to classify 35 isolates of Enterococcus faecium representing 12 distinct pulsed-field gel electrophoresis (PFGE) types. The results show that the three analytical techniques provide clear discrimination among enterococci at both the strain and isolate levels. FT-IR and Raman spectroscopic data produced very similar bacterial discrimination, reflected in the Procrustes distance between the datasets (0.2125–0.2411, p < 0.001); however, FT-IR data provided superior prediction accuracy to Raman data with correct classification rates (CCR) of 89% and 69% at the strain level, respectively. MALDI-TOF-MS produced slightly different classification of these enterococci strains also with high CCR (78%). Classification data from the three analytical techniques were consistent with PFGE data especially in the case of isolates identified as unique by PFGE. This study presents phenotypic techniques as a complementary approach to current methods with a potential for high-throughput point-of-care screening enabling rapid and reproducible classification of clinically relevant enterococci.

U2 - 10.1039/C6AY02326F

DO - 10.1039/C6AY02326F

M3 - Article

VL - 8

SP - 7603

EP - 7613

JO - Analytical Methods

JF - Analytical Methods

SN - 1759-9660

IS - 42

ER -