〔Abstract〕 Absrtact Objective To evaluate the identification effect, homology analysis ability and self-library effect of MALDI-TOF MS technology for Acinetobacter baumannii. Methods 107 strains of Acinetobacter baumannii were identified by MALDI-TOF MS technology, and then drug sensitivity analysis was carried out. Tigacycline-resistant and tigacycline-susceptible Acinetobacter baumannii were screened out. Databases of tigacycline-resistant and tigacycline-susceptible Acinetobacter baumannii were established using the screened Acinetobacter baumannii. Finally, self-built databases were verified. Results MALDI-TOF MS identified 107 strains of bacteria as 103 strains of Acinetobacter baumannii, 3 strains of Acinetobacter junii and 1 Acinetobacter nosocomium. K-B and broth dilution methods were used to detect the sensitivity of 103 strains of Acinetobacter baumannii to tegacycline. 37 strains of Acinetobacter baumannii resistant to tegacycline and 39 strains of Acinetobacter baumannii susceptible to tegacycline were obtained. The consistency rate of the methods was 68.82%(64/93). Homology analysis for 76 strains of Acinetobacter baumannii revealed the distribution of pan-drug-resistant Acinetobacter baumannii in hospital. For self-built databases, the correct detection rate of tigacycline-resistant Acinetobacter baumannii and tigacycline-sensitive Acinetobacter baumannii was 87.4% and 77.5% respectively. Conclusion MALDI-TOF MS can quickly identify Acinetobacter baumannii, Acinetobacter junii and Acinetobacter nosocomium, and it can carry out Homology analysis of Acinetobacter baumannii. The resistance of Acinetobacter baumannii to tegacycline can be predicted by self-built databases.