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Monitoring the mode of action of antibiotics using Raman spectroscopy: investigating subinhibitory effects of amikacin on Pseudomonas aeruginosa

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Monitoring the mode of action of antibiotics using Raman spectroscopy: investigating subinhibitory effects of amikacin on Pseudomonas aeruginosa. / López-Diez, E. Consuelo; Winder, Catherine L.; Ashton, Lorna et al.
In: Analytical Chemistry, Vol. 77, No. 9, 01.05.2005, p. 2901-2906.

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López-Diez EC, Winder CL, Ashton L, Currie F, Goodacre R. Monitoring the mode of action of antibiotics using Raman spectroscopy: investigating subinhibitory effects of amikacin on Pseudomonas aeruginosa. Analytical Chemistry. 2005 May 1;77(9):2901-2906. doi: 10.1021/ac048147m

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López-Diez, E. Consuelo ; Winder, Catherine L. ; Ashton, Lorna et al. / Monitoring the mode of action of antibiotics using Raman spectroscopy : investigating subinhibitory effects of amikacin on Pseudomonas aeruginosa. In: Analytical Chemistry. 2005 ; Vol. 77, No. 9. pp. 2901-2906.

Bibtex

@article{7194f8caa6554f3288982b4e16fd7762,
title = "Monitoring the mode of action of antibiotics using Raman spectroscopy: investigating subinhibitory effects of amikacin on Pseudomonas aeruginosa",
abstract = "During the last 20 years the rate at which new antimicrobial agents are produced has decreased dramatically, with concomitant increase in the number of pathogens that are becoming multidrug resistant. Together these have created a patient healthcare risk and this is of great concern. A crucial aspect for the discovery of new antibiotics is the development of new techniques that allow rapid and accurate characterization of the mode of action of the pharmacophore. In this work UV resonance Raman (UVRR) spectroscopy has been developed to monitor the concentration effect of antibiotics on bacterial cells. UVRR was conducted at 244 nm and spectra were collected in typically 60 s. Supervised multivariate analysis and 2D correlation spectroscopy were used to evaluate whether the UVRR spectra contained valuable information that could be used to study the mode of action of antibiotics. The clustering pattern in the discriminant factors space correlated directly to the concentration of amikacin, and partial least squares (PLS) regression analysis of the UVRR spectra was able to predict the concentration of amikacin to which bacterial cells had been exposed. 2D correlation spectroscopy contour maps indicated that spectral changes due to the presence of amikacin in the growth media occur according to the known mode of action of the studied antibiotic. Therefore, we conclude that UVRR spectroscopy, when coupled with chemometrics and 2D correlation spectroscopy, constitutes a powerful approach for the development and screening of new antibiotics.",
keywords = "UV RESONANCE RAMAN, 2-DIMENSIONAL CORRELATION SPECTROSCOPY, DEPENDENT SPECTRAL VARIATIONS, INFRARED CORRELATION SPECTROSCOPY, PURE LIQUID-STATE, RAPID IDENTIFICATION, MASS-SPECTROMETRY, N-METHYLACETAMIDE, E. COLI, BACTERIA",
author = "L{\'o}pez-Diez, {E. Consuelo} and Winder, {Catherine L.} and Lorna Ashton and Felicity Currie and Royston Goodacre",
year = "2005",
month = may,
day = "1",
doi = "10.1021/ac048147m",
language = "English",
volume = "77",
pages = "2901--2906",
journal = "Analytical Chemistry",
issn = "0003-2700",
publisher = "American Chemical Society",
number = "9",

}

RIS

TY - JOUR

T1 - Monitoring the mode of action of antibiotics using Raman spectroscopy

T2 - investigating subinhibitory effects of amikacin on Pseudomonas aeruginosa

AU - López-Diez, E. Consuelo

AU - Winder, Catherine L.

AU - Ashton, Lorna

AU - Currie, Felicity

AU - Goodacre, Royston

PY - 2005/5/1

Y1 - 2005/5/1

N2 - During the last 20 years the rate at which new antimicrobial agents are produced has decreased dramatically, with concomitant increase in the number of pathogens that are becoming multidrug resistant. Together these have created a patient healthcare risk and this is of great concern. A crucial aspect for the discovery of new antibiotics is the development of new techniques that allow rapid and accurate characterization of the mode of action of the pharmacophore. In this work UV resonance Raman (UVRR) spectroscopy has been developed to monitor the concentration effect of antibiotics on bacterial cells. UVRR was conducted at 244 nm and spectra were collected in typically 60 s. Supervised multivariate analysis and 2D correlation spectroscopy were used to evaluate whether the UVRR spectra contained valuable information that could be used to study the mode of action of antibiotics. The clustering pattern in the discriminant factors space correlated directly to the concentration of amikacin, and partial least squares (PLS) regression analysis of the UVRR spectra was able to predict the concentration of amikacin to which bacterial cells had been exposed. 2D correlation spectroscopy contour maps indicated that spectral changes due to the presence of amikacin in the growth media occur according to the known mode of action of the studied antibiotic. Therefore, we conclude that UVRR spectroscopy, when coupled with chemometrics and 2D correlation spectroscopy, constitutes a powerful approach for the development and screening of new antibiotics.

AB - During the last 20 years the rate at which new antimicrobial agents are produced has decreased dramatically, with concomitant increase in the number of pathogens that are becoming multidrug resistant. Together these have created a patient healthcare risk and this is of great concern. A crucial aspect for the discovery of new antibiotics is the development of new techniques that allow rapid and accurate characterization of the mode of action of the pharmacophore. In this work UV resonance Raman (UVRR) spectroscopy has been developed to monitor the concentration effect of antibiotics on bacterial cells. UVRR was conducted at 244 nm and spectra were collected in typically 60 s. Supervised multivariate analysis and 2D correlation spectroscopy were used to evaluate whether the UVRR spectra contained valuable information that could be used to study the mode of action of antibiotics. The clustering pattern in the discriminant factors space correlated directly to the concentration of amikacin, and partial least squares (PLS) regression analysis of the UVRR spectra was able to predict the concentration of amikacin to which bacterial cells had been exposed. 2D correlation spectroscopy contour maps indicated that spectral changes due to the presence of amikacin in the growth media occur according to the known mode of action of the studied antibiotic. Therefore, we conclude that UVRR spectroscopy, when coupled with chemometrics and 2D correlation spectroscopy, constitutes a powerful approach for the development and screening of new antibiotics.

KW - UV RESONANCE RAMAN

KW - 2-DIMENSIONAL CORRELATION SPECTROSCOPY

KW - DEPENDENT SPECTRAL VARIATIONS

KW - INFRARED CORRELATION SPECTROSCOPY

KW - PURE LIQUID-STATE

KW - RAPID IDENTIFICATION

KW - MASS-SPECTROMETRY

KW - N-METHYLACETAMIDE

KW - E. COLI

KW - BACTERIA

U2 - 10.1021/ac048147m

DO - 10.1021/ac048147m

M3 - Journal article

VL - 77

SP - 2901

EP - 2906

JO - Analytical Chemistry

JF - Analytical Chemistry

SN - 0003-2700

IS - 9

ER -