Advances in Candida detection platforms for clinical and point-of-care applications.
a Division of Biomedical Engineering, Division of Renal medicine, Department of Medicine , Brigham and Women's Hospital, Harvard Medical School , Cambridge , MA , USA.
b Department of Computer Engineering and Electrical Engineering and Computer Science , Florida Atlantic University , Boca Raton , FL , USA.
c College of Engineering and Computer Science, Asghar-Lab, Micro and Nanotechnologies for Medicine , Boca Raton , FL , USA.
d Biological Sciences Department , Florida Atlantic University , Davie , FL , USA.
e Center of Nanotechnology, King Abdulaziz University , Jeddah , Saudi Arabia.
f Department of Medicine, Division of Infectious Disease , Massachusetts General Hospital , Boston , MA , USA.
- Published Article
Critical reviews in biotechnology
- Publication Date
Invasive candidiasis remains one of the most serious community and healthcare-acquired infections worldwide. Conventional Candida detection methods based on blood and plate culture are time-consuming and require at least 2-4 days to identify various Candida species. Despite considerable advances for candidiasis detection, the development of simple, compact and portable point-of-care diagnostics for rapid and precise testing that automatically performs cell lysis, nucleic acid extraction, purification and detection still remains a challenge. Here, we systematically review most prominent conventional and nonconventional techniques for the detection of various Candida species, including Candida staining, blood culture, serological testing and nucleic acid-based analysis. We also discuss the most advanced lab on a chip devices for candida detection.
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This record was last updated on 07/07/2017 and may not reflect the most current and accurate biomedical/scientific data available from NLM.
The corresponding record at NLM can be accessed at https://www.ncbi.nlm.nih.gov/pubmed/27093473