Use of Raman spectroscopy to decrease time for identifying the species of Candida growth in cultures.
BACKGROUND
The objective of this study is to establish Raman signatures from pure cultures of different Candida species using Raman Spectroscopy (RS) and use these signatures for rapid identification of unknown Candida species.


METHODS
Pure cultures of five Candida species were evaluated using RS to build a limited signature library. 'Raman Processing' (RP) software was used for Principal Component Analysis (PCA) and Differential Functional Analysis (DFA).


RESULTS
Eleven principal components described at least 95% variance in the spectra. Raman signatures from these known Candida species were able to identify the species of unknown Candida cultures with 100% accuracy.


CONCLUSIONS
Raman spectroscopy can improve early identification of Candida species and may facilitate early optimal antifungal therapy.
Division of Neonatal-Perinatal Medicine, Wayne State University, Detroit, MI, United States of America.
Nitin S
NS
Chouthai
Division of Neonatal-Perinatal Medicine, Wayne State University, Detroit, MI, United States of America.
Anuj A
AA
Shah
Division of Pathology, Wayne State University, Detroit, MI, United States of America.
Hossein
H
Salimnia
Lumigen Instrument Center, Wayne State University, Detroit, MI, United States of America.
Olena
O
Palyvoda
Department of Radiation Oncology, Henry Ford Health System, Detroit MI, United States of America.
Suneetha
S
Devpura
Pediatric Surgery, Wayne State University, Detroit, MI, United States of America.
Michael
M
Klein
Division of Pediatric Infectious Diseases, Wayne State University, Detroit, MI, United States of America.
Basim
B
Asmar
Candida species; Raman; Spectrum analysis