New MSPQC-PLS method for the early clinic identification of commonly encountered Candida species.
The early clinic identification of commonly encountered Candida species became more important with the increasing human candidiasis. In this paper, a new MSPQC-PLS (multi-channel series piezoelectric quartz crystal biosensor combined with partial least square) method was proposed for early identification of the most frequent Candida species encountered in human pathology. This method was based on these fact that (1) MSPQC method is a real-time monitoring method based on the sensitive frequency response to the change of electric parameters of the culture media caused by the growth of microorganisms; (2) various Candida species produce significantly different types of frequency curves in 1 or 2 days' culture period; (3) this difference can be identified by the partial least square technique. Using the proposed method, three species (Candida albicans, Candida glabrata, and Candida tropicalis) from a collection of 53 clinical strains of Candida, isolated from hospitalized patients, were identified with a classification rate of 98.1%. New proposed MSPQC-PLS method is simple, rapid and convenient to perform. It can identify clinical Candida species directly without passing through pure culture process. This will save identification time greatly. It could be popularized in clinical microbiology laboratories.
He
Fengjiao
F
College of Chemistry and Chemical Engineering, State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University, Changsha 410082, China. fengjiao863@hotmail.com
Zhong
Ming
M
D015374:Biosensing Techniques / Q000379:methods*; D002175:Candida / Q000145:classification / Q000302:isolation & purification*; D006801:Humans; D016018:Least-Squares Analysis; D008962:Models, Theoretical; D011791:Quartz; D013997:Time Factors
D011791:Quartz