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Surface‐enhanced Raman spectroscopy using uncoated gold nanoparticles for bacteria discrimination
Author(s) -
Akanny Elie,
Bonhommé Anne,
Commun Carine,
DoleansJordheim Anne,
Farre Carole,
Bessueille François,
Bourgeois Sandrine,
Bordes Claire
Publication year - 2020
Publication title -
journal of raman spectroscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.748
H-Index - 110
eISSN - 1097-4555
pISSN - 0377-0486
DOI - 10.1002/jrs.5827
Subject(s) - raman spectroscopy , surface enhanced raman spectroscopy , colloidal gold , lactobacillus rhamnosus , nanoparticle , bacteria , partial least squares regression , analytical chemistry (journal) , bacillus subtilis , chemistry , silver nanoparticle , materials science , principal component analysis , spectroscopy , nanotechnology , chromatography , lactobacillus , raman scattering , biology , optics , mathematics , physics , quantum mechanics , genetics , statistics
In this work, surface‐enhanced Raman spectroscopy (SERS) method based on uncoated spherical gold nanoparticles as SERS substrate was applied for the detection and discrimination of three different bacterial strains: Gram‐positive Bacillus subtilis and Lactobacillus rhamnosus GG and Gram‐negative Escherichia coli. The exploitation of bacteria SERS spectra by multivariate data analysis (principal component analysis and partial least squares – discriminant analysis) proved the robustness of the developed method and its suitability to discriminate between the three different strains despite their relatively similar Raman signals. The SERS performance of the developed method was compared with that of the classical silver nanoparticles indicating a better bacteria signal enhancement, up to 15 times higher in case of E. coli , likely due to stronger interactions of gold nanoparticles with components such as purine molecules that show dominant bands in the bacterial SERS spectra.