Safavieh Mohammadali, Coarsey Chad, Esiobu Nwadiuto, Memic Adnan, Vyas Jatin Mahesh, Shafiee Hadi, Asghar Waseem
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.
Crit Rev Biotechnol. 2017 Jun;37(4):441-458. doi: 10.3109/07388551.2016.1167667. Epub 2016 Apr 19.
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.
侵袭性念珠菌病仍然是全球最严重的社区获得性和医疗保健相关感染之一。基于血液和平板培养的传统念珠菌检测方法耗时较长，至少需要2至4天才能鉴定出各种念珠菌物种。尽管念珠菌病检测取得了长足进展，但开发简单、紧凑且便携的即时诊断设备以进行快速精确检测，实现自动细胞裂解、核酸提取、纯化和检测，仍然是一项挑战。在此，我们系统地综述了用于检测各种念珠菌物种的最突出的传统和非传统技术，包括念珠菌染色、血培养、血清学检测和基于核酸的分析。我们还讨论了用于念珠菌检测的最先进的芯片实验室设备。
