摘要目的:了解腿伤凯斯特菌的生物学特点，并采用基质辅助激光解吸飞行时间质谱的方法进行自建库，为腿伤凯斯特菌在质谱仪上快速、准确地鉴定提供支持。方法:收集2020年11月至2022年2月从南部战区总医院临床患者标本中分离的38株腿伤凯斯特菌，利用全自动微生物分析系统（Vitek-2 Compact）、全自动微生物质谱检测系统（Vitek-MS）以及16S核糖体RNA（16S rRNA）测序的方法鉴定菌种；选取13株菌，使用Vitek-MS获取质谱图谱，应用SARAMIS软件构建腿伤凯斯特菌图谱库，并用剩余25株菌验证构建的自建库。结果:Vitek-2 Compact、Vitek-MS均未能鉴定出腿伤凯斯特菌；选取13株菌成功通过SARAMIS软件构建腿伤凯斯特菌的自建库，25株验证菌株均被鉴定为腿伤凯斯特菌，可信度>99.0%，准确率100%（25/25）。结论:腿伤凯斯特菌有独特的质谱图谱，可通过图谱自建库的建立快速、准确鉴定到种。

abstractsObjective:To investigate the biological characteristics of Kerstersia gyiorum and to support the rapid and accurate identification of Kerstersia gyiorum on mass spectrometry by using Matrix-Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF-MS) for self-built libraries. Methods:From November 2020 to February 2022, thirty-eight strains of Kerstersia gyiorum isolated from clinical patients of the General Hospital of Southern Theatre Command were collected and identified by the fully automated microbial analysis system (Vitek-2 Compact), the automatic microbial mass spectrometry detection system (Vitek-MS) and the 16S ribosomal RNA sequencing. Thirteen strains were randomly selected and mass spectra were obtained by using Vitek-MS. The SARAMIS software was used to construct a Kerstersia gyiorum library, and the remaining 25 strains were used to validate the constructed library. Results:The Vitek-2 Compact and Vitek MS were unable to identify Kerstersia gyiorum; 13 strains were successfully built into a self-built library of Kerstersia gyiorum by SARAMIS software, and 25 validated strains were identified as Kerstersia gyiorum with a confidence level of more than 99.0% and 100% (25/25) accuracy. Conclusion:Kerstersia gyiorum has unique mass spectrometry profile, which can be identified as species quickly and accurately by the establishment of the self-constructed library of profiles.