TY - JOUR
T1 - Discrimination of clinically relevant
T2 - Candida species by Fourier-transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR)
AU - Silva, Sónia
AU - Tobaldini-Valerio, Flávia
AU - Costa-de-Oliveira, Sofia
AU - Henriques, Mariana
AU - Azeredo, Joana
AU - Ferreira, Eugénio C.
AU - Lopes, João A.
AU - Sousa, Clara
N1 - Publisher Copyright:
© 2016 The Royal Society of Chemistry.
PY - 2016
Y1 - 2016
N2 - Accurate Candida species identification remains a challenge due to their phenotypic and genotypic similarity. Species belonging to the ∗psilosis group, are even described as phenotypically indistinguishable. Also, most of the genotypic methods commonly used to discriminate these species are laborious and very expensive. In this work we developed a Fourier-transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR) based method as a reliable alternative for the discrimination of 12 Candida species. The collection comprises 82 clinical isolates obtained from distinct biological products, recovered between 2007 and 2014 in Portugal and Brazil and previously characterised by CHROMagar Candida and PCR-based sequencing techniques. Infrared spectra were analysed with principal component analysis (PCA) and partial least squares discriminant analysis (PLSDA). The results demonstrated that the 12 species could be successfully discriminated using the proposed infrared spectroscopy based method. Noteworthy, the PLSDA model led to the correct identification of 99.6% of the analysed clinical isolates. This rapid, low cost, and environmental friendly technique proved to be a reliable alternative for the identification of Candida species that share many phenotypic and genotypic characteristics and are often difficult to distinguish.
AB - Accurate Candida species identification remains a challenge due to their phenotypic and genotypic similarity. Species belonging to the ∗psilosis group, are even described as phenotypically indistinguishable. Also, most of the genotypic methods commonly used to discriminate these species are laborious and very expensive. In this work we developed a Fourier-transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR) based method as a reliable alternative for the discrimination of 12 Candida species. The collection comprises 82 clinical isolates obtained from distinct biological products, recovered between 2007 and 2014 in Portugal and Brazil and previously characterised by CHROMagar Candida and PCR-based sequencing techniques. Infrared spectra were analysed with principal component analysis (PCA) and partial least squares discriminant analysis (PLSDA). The results demonstrated that the 12 species could be successfully discriminated using the proposed infrared spectroscopy based method. Noteworthy, the PLSDA model led to the correct identification of 99.6% of the analysed clinical isolates. This rapid, low cost, and environmental friendly technique proved to be a reliable alternative for the identification of Candida species that share many phenotypic and genotypic characteristics and are often difficult to distinguish.
UR - http://www.scopus.com/inward/record.url?scp=84989832895&partnerID=8YFLogxK
U2 - 10.1039/c6ra16769a
DO - 10.1039/c6ra16769a
M3 - Article
AN - SCOPUS:84989832895
SN - 2046-2069
VL - 6
SP - 92065
EP - 92072
JO - RSC Advances
JF - RSC Advances
IS - 94
ER -