NDLI: Rapid identification of Candida albicans based on Raman spectral biosensing technology

Content Provider	IEEE Xplore Digital Library
Author	Yong-Li Pan Tzyy-Schiuan Yang Tsung-Chain Chang Hsien-Chang Chang
Copyright Year	2009
Description	Author affiliation: Department of Chemistry and Biochemistry, National Chung Cheng University, Taiwan (Tzyy-Schiuan Yang) \|\| Institute of Biomedical Engineering, National Cheng Kung University, Taiwan (Yong-Li Pan; Hsien-Chang Chang) \|\| Department of Medical Laboratory Science and Biotechnology, National Cheng Kung University, Taiwan (Tsung-Chain Chang)
Abstract	Traditional identification methods of pathogenic Candida albicans are time-consuming due to the long-term incubation. The purpose of this study is to develop a noninvasive biomolecular sensing technology for rapid identification of Candida albicans. Surface enhanced Raman scattering (SERS) based on colloidal sliver was used to rapidly detect specific molecules on the surface of cells cultured on SDA plate. A home-made fluidic chamber was fabricated to enlarge the random sampling area, increase the path length and avoid sampling error caused by disturbance or evaporation. SERS signal was detected by a 514 nm laser with a 10x objective lens. The exposure time of CCD was 10 s. Normalization, second derivative, principal component analysis (PCA) and hierarchical cluster analysis (HCA) were also integrated for discrimination of Candida albicans by spectral patterns precisely. The results show that SERS can be used to detect high-concentration suspended cells of Candida albicans. Candida albicans can be discriminated to genus and species level by principal component analysis and hierarchical cluster analysis of high frequency features of SERS spectral patterns.
Starting Page	120
Ending Page	124
File Size	1024808
Page Count	5
File Format	PDF
ISBN	9781424455287
e-ISBN	9781424455300
DOI	10.1109/NANOMED.2009.5559104
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Charge coupled devices Candida albicans Pattern recognition Biosensors Colloidal silver Surface-enhanced Raman spectroscopy (SERS) Spectral analysis
Content Type	Text
Resource Type	Article

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