| Literature DB >> 25087480 |
Daiwen Xiao1, Yongchang Yang1, Wei Jiang1, Hangfeng Zhang1, Hua Liu1, Hua Yu1, Chunbao Xie1, Min Zhong1, Liang Chen2, Wenfang Huang3.
Abstract
A protein database was constructed and validated with identification rate over 90% for the 4 most common Gram-negative bacteria on agar plates. By protein masses comparison, 120 bacteria of the 4 species from blood culture bottles were identified. The concordance was high (Kappa=0.906) between our method and conventional approach.Keywords: Bloodstream infection; Identification; Protein database; SELDI-TOF MS
Mesh：
Year: 2014 PMID： 25087480 DOI： 10.1016/j.mimet.2014.07.021
Source DB: PubMed Journal: J Microbiol Methods ISSN： 0167-7012 Impact factor: 2.363