Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Oct 20;20(1):318.
doi: 10.1186/s12866-020-02005-0.

Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates

Affiliations

Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates

Qiong Ma et al. BMC Microbiol. .

Abstract

Background: To evaluate the accuracy and performance of the Autof MS1000 mass spectrometer in bacteria and yeast identification, 2342 isolates were obtained from microbial cultures of clinical specimens (e.g. blood, cerebrospinal fluid, respiratory tract samples, lumbar puncture fluid, wound samples, stool, and urine) collected in 2019 in Henan Provincial People's Hospital. Repetitive strains from the same patient were excluded. We tested the Autof MS1000 and Bruker Biotyper mass spectrometry systems and the classical biochemical identification system VITEK 2/API 20C AUX. Inconsistencies in strain identification among the three systems were identified by 16S rDNA and gene sequencing.

Results: At the species level, the Autof MS1000 and Bruker Biotyper systems had isolate identification accuracies of 98.9 and 98.5%, respectively. At the genus level, the Autof MS1000 and Bruker Biotyper systems were 99.7 and 99.4% accurate, respectively. The instruments did not significantly differ in identification accuracy at either taxonomic level. The frequencies of unreliable identification were 1.1% (26/2342) for the Autof MS1000 and 1.5% (34/2342) for the Bruker Biotyper. In vitro experiments demonstrated that the coincidence rate of the Autof MS1000 mass spectrometer in the identification of five types of bacteria was > 93%, the identification error rate was < 3%, and the no identification rate was 0. This indicates that the Autof MS1000 system is acceptable for identification.

Conclusions: The Autof MS1000 mass spectrometer can be utilised to identify clinical isolates. However, an upgradation of the database is recommended to correctly identify rare strains.

Keywords: Autof MS1000; Bacterial identification; Bruker Biotyper; Clinical samples; Mass spectrometry; Performance verification.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Identification results on the Autof MS1000 and Bruker Biotyper. GNB: Gram-negative bacilli; GPC: Gram-positive cocci; GPB: Gram-positive bacilli; GNC: Gram-negative cocci; AB: anaerobic bacteria; YST: yeast and yeast-like; ns: not significant
Fig. 2
Fig. 2
Correct rates of common bacteria and yeast on the Autof MS1000 and Bruker Biotyper. ns: not significant
Fig. 3
Fig. 3
Performance verification for the Autof MS1000 and Bruker Biotyper. GNE: Gram-negative Enterobacteriaceae; NGNE: Gram-negative non-Enterobacteriaceae; GNF: Gram-negative fastidious; GPA: Gram-positive aerobic; ns: not significant

Similar articles

Cited by

References

    1. Singhal N, Kumar M, Kanaujia PK, Virdi JS. MALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis. Front Microbiol. 2015;6:791. doi: 10.3389/fmicb.2015.00791. - DOI - PMC - PubMed
    1. Jang KS, Kim YH. Rapid and robust MALDI-TOF MS techniques for microbial identification: a brief overview of their diverse applications. J Microbiol. 2018;56:209–216. doi: 10.1007/s12275-018-7457-0. - DOI - PubMed
    1. Martiny D, Busson L, Wybo I, El Haj RA, Dediste A, Vandenberg O. Comparison of the microflex LT and Vitek MS systems for the routine identification of bacteria by matrix-assisted laser desorption-ionization time-of-flight mass spectrometry. J Clin Microbiol. 2012;50:1313–1325. doi: 10.1128/JCM.05971-11. - DOI - PMC - PubMed
    1. Pan C, Xu S, Zhou H, Fu Y, Ye M, Zou H. Recent developments in methods and technology for analysis of biological samples by MALDI-TOF-MS. Anal Bioanal Chem. 2007;387:193–204. doi: 10.1007/s00216-006-0905-4. - DOI - PubMed
    1. Egelhofer V, Büssow K, Luebbert C, Lehrach H, Nordhoff E. Improvements in protein identification by MALDI-TOF-MS peptide mapping. Anal Chem. 2000;72:2741–2750. doi: 10.1021/ac990686h. - DOI - PubMed

Publication types

MeSH terms

LinkOut - more resources