Development of a method based on surface enhanced laser desorption and ionization time of flight mass spectrometry for rapid identification of Klebsiella pneumoniae.
A method based on surface enhanced laser desorption and ionization time of flight mass spectrometry (SELDI-TOF MS) was developed for the rapid identification of Klebsiella pneumoniae by directly applying bacterial colonies without further protein extraction. A total of 40 K. pneumoniae and 114 other related microorganisms isolated clinically were analyzed by SELDI-TOF MS. An identification model for K. pneumoniae was established by artificial neural networks (ANNs) with classification accuracy of 100%. The model was blindly tested with 43 K. pneumoniae and 53 control bacteria again. The results showed that the model was successful with accuracy of 96.9%, sensitivity of 100% and specificity of 943%. This strategy is potential for rapid identification of K. pneumoniae.
Xiao
Daiwen
D
Clinical Laboratory Department, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, PR China.
Yang
Yongchang
Y
Liu
Hua
H
Yu
Hua
H
Yan
Yingjun
Y
Huang
Wenfang
W
Jiang
Wei
W
Liao
Weijin
W
Hu
Qi
Q
Huang
Bo
B
D001431:Bacteriological Techniques / Q000379:methods*; D006801:Humans; D007710:Klebsiella Infections / Q000175:diagnosis*; D007711:Klebsiella pneumoniae / Q000737:chemistry* / Q000302:isolation & purification; D013058:Mass Spectrometry / Q000379:methods*; D016571:Neural Networks, Computer; D012680:Sensitivity and Specificity