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...
| Publicado en: | Avicenna Journal of Medical Biotechnology Vol. 7; no. 1; pp. 45 - 49 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Avicenna Research Institute
Jan-Mar2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=100367501&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 100367501 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 20082835 ATX9 jtl: Avicenna Journal of Medical Biotechnology issn: 20082835 maglogo: N pubinfo: dt: Jan-Mar2015 vid: 7 iid: 1 pid: 56911 pub: Avicenna Research Institute artinfo: ui: 100367501 100367501 103871566 100367501 ppf: 45 ppct: 4 formats: tig: atl: Use of Raman Spectroscopy to Decrease Time for Identifying the Species of Candida Growth in Cultures. aug: au: Chouthai, Nitin S. Shah, Anuj A. Salimnia, Hossein Palyvoda, Olena Devpura, Suneetha Klein, Michael Asmar, Basim affil: Division of Neonatal-Perinatal Medicine, Wayne State University, Detroit, MI, United States of America sug: subj: Spectrum Analysis, Raman Utilization Candida Classification Culture Techniques Evaluation Human Research Methodology ab: 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. Conclusion: Raman spectroscopy can improve early identification of Candida species and may facilitate early optimal antifungal therapy. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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