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Exploring bacterial phenotypic diversity using factorial design and FTIR multivariate fingerprinting

Artikel i vetenskaplig tidskrift
Författare Patrick M. Wehrli
Erika Lindberg
O. Svensson
A. Sparén
M. Josefson
R. H. Dunstan
Agnes E Wold
Johan Gottfries
Publicerad i Journal of Chemometrics
Volym 28
Nummer/häfte 8
Sidor 681-686
ISSN 0886-9383
Förlag John Wiley and Sons Ltd
Publiceringsår 2014
Publicerad vid Institutionen för kemi och molekylärbiologi
Institutionen för biomedicin, avdelningen för infektionssjukdomar
Sidor 681-686
Språk en
Länkar dx.doi.org/10.1002/cem.2588
Ämnesord Bacteria, Bacterial phenotypes, DoE, Factorial design, FTIR spectroscopy, PCA, Spectral preprocessing
Ämneskategorier Bakteriologi

Sammanfattning

Transmission Fourier transform infrared (FTIR) spectra were obtained from cultures of Staphylococcus aureus that were grown under sets of various environmental conditions enclosing ranges of potential conditions in wound sites. The primary aim of this study was to determine whether bacterial phenotypic diversity could be characterized by FTIR spectroscopy analyses of cultures of S.aureus grown under variable sets of environmental conditions. Designing experiments with full factorial design has shown to be a powerful way to explore an expectedly large array of phenotypic diversity of S.aureus. Various combinations of environmental conditions caused the bacteria to adapt their phenotype, which was assessed via FTIR spectral fingerprinting. Transmission FTIR spectroscopy was found to be superior to other vibrational spectroscopy techniques for this purpose because of its high sensitivity, reproducibility, and rapidity of analysis. The sample preparation presented was fundamental for reproducible results. Different spectral preprocessing methods were compared in combination with scaling methods to obtain distinguishable phenotypes in principal component analysis (PCA) models. Spectral preprocessing with combined filters, including standard normal variate transformation, Savitzky-Golay smoothing, and use of the first derivative in a PCA model with unit variance scaling, gave the most optimal clustering for the data in this study. Spectra obtained from each treatment group were found to have a unique FTIR profile with good reproducibility, and thus PCA resulted in full separation between all groups on three principal components. In conclusion, transmission FTIR spectroscopy in conjunction with design of experiment, and multivariate analysis are powerful tools to investigate phenotypic diversity of S.aureus. © 2014 John Wiley & Sons, Ltd.

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