Next Article in Journal
Detection of β-Lactamase Resistance and Biofilm Genes in Pseudomonas Species Isolated from Chickens
Next Article in Special Issue
Direct MALDI-TOF MS and Antimicrobial Susceptibility Testing of Positive Blood Cultures Using the FASTTM System and FAST-PBC Prep Cartridges—Performance Evaluation in a Clinical Microbiology Laboratory Serving High-Risk Patients
Previous Article in Journal
Computer-Based Identification of Potential Druggable Targets in Multidrug-Resistant Acinetobacter baumannii: A Combined In Silico, In Vitro and In Vivo Study
Previous Article in Special Issue
Performance of a Machine Learning-Based Methicillin Resistance of Staphylococcus aureus Identification System Using MALDI-TOF MS and Comparison of the Accuracy according to SCCmec Types
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Microorganisms
Volume 10
Issue 10
10.3390/microorganisms10101974
microorganisms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Communication

Performance of MALDI-TOF Mass Spectrometry (VITEK MS) in the Identification of Salmonella Species

by
Gyu Ri Kim
1,†,
Si Hyun Kim
2,†,
Eun-Young Kim
1,
Eun Hee Park
3,
In Yeong Hwang
3,
Seok Hoon Jeong
4,
Hyun Soo Kim
5,
Young Ah Kim
6,
Young Uh
7,
Kyeong Seob Shin
8,
Young Ree Kim
9,
Namhee Ryoo
10,
Jong Hee Shin
11 and
Jeong Hwan Shin
1,*
1
Department of Laboratory Medicine, Inje University College of Medicine, Busan 47392, Korea
2
Department of Clinical Laboratory Science, Semyung University, Jecheon 27136, Korea
3
Busan Institute of Health and Environment, Busan 47545, Korea
4
Department of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul 03722, Korea
5
Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong 18450, Korea
6
Department of Laboratory Medicine, National Health Insurance Service Ilsan Hospital, Goyang 10444, Korea
7
Department of Laboratory Medicine, Yonsei University Wonju College of Medicine, Wonju 26411, Korea
8
Department of Laboratory Medicine, Chungbuk National University College of Medicine, Cheongju 28644, Korea
9
Department of Laboratory Medicine, Jeju National University Medical School, Jeju 63243, Korea
10
Department of Laboratory Medicine, Keimyung University School of Medicine, Daegu 42601, Korea
11
Department of Laboratory Medicine, Chonnam National University Medical School, Gwangju 61469, Korea
 
add Show full affiliation list
 
remove Hide full affiliation list
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Microorganisms 2022, 10(10), 1974; https://doi.org/10.3390/microorganisms10101974
Submission received: 29 August 2022 / Revised: 22 September 2022 / Accepted: 22 September 2022 / Published: 5 October 2022
(This article belongs to the Special Issue Application of MALDI-TOF MS in Microbiology)
Versions Notes

Abstract

:
Salmonella is a major pathogen causing foodborne infections in humans. Salmonella isolates are identified using biochemical and serological tests, including automated systems such as the VITEK2 system. However, there are few reports on Salmonella identification using VITEK MS. Therefore, we aimed to evaluate the usefulness of MALDI-TOF VITEK MS for Salmonella identification. A total of 1389 Salmonella isolates were identified using VITEK MS ver3.0 or ver3.2. All Salmonella isolates were confirmed by serotyping using the Kauffmann-White scheme, and the results were compared with the VITEK MS results. A total of 1389 Salmonella isolates, including 66 serotypes, were correctly identified at the genus level by VITEK MS. However, these systems failed to correctly identify typhoidal Salmonella. Among the five Salmonella enterica ssp. diarizonae isolates, only one was correctly identified, whereas one and three isolates were partially identified and misidentified, respectively. On the other hand, the VITEK2 system successfully identified all typhoidal Salmonella (Typhi and Paratyphi A) and Salmonella enterica ssp. diarizonae isolates. VITEK MS was useful for identifying Salmonella species isolated from clinical specimens; however, additional biochemical tests, such as the VITEK2 System, should be considered to accurately identify Salmonella ser. Typhi, and Salmonella ser. Paratyphi A.

1. Introduction

Salmonella is a major pathogen causing foodborne infections, including gastroenteritis and enteric fever, in humans [1]. The genus Salmonella includes two species, S. enterica and S. bongori, which have similar phenotypes and genotypes [2]. Salmonella enterica is the most frequently isolated species of Salmonella and is closely associated with human infections [3].
Salmonella identification is routinely performed using biochemical and serological tests. Biochemical identification using automated systems, such as the VITEK2 system (bioMérieux, Lyon, France), is commonly performed in clinical microbiology laboratories [4]. Owing to advantages of speed and accuracy, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has recently become a routine identification system [5]. Two common MALDI-TOF MS systems, MALDI Biotyper® (Bruker Daltonik GmbH, Bremen, Germany) and VITEK MS system (bioMérieux, Lyon, France), are used in clinical laboratories.
The performance of VITEK MS in identifying bacteria, fungi, and mycobacteria has been steadily evaluated [6,7,8,9,10]. However, only a few studies have evaluated the performance of VITEK MS in identifying Salmonella strains and serotypes [11,12,13]. This study aimed to evaluate the usefulness of MALDI-TOF VITEK MS for Salmonella identification using more than 1000 Salmonella strains, including 60 serotypes, isolated from human specimens.

2. Materials and Methods

2.1. Clinical Isolates

In total, 1389 Salmonella strains isolated from various human specimens such as stool, blood, urine, body fluids, and tissues were included in this study.

2.2. Final Identification by Serotyping

Salmonella strains were identified by serotyping using the White-Kauffmann-Scheme with the slide agglutination test for somatic antigens and the tube agglutination test for flagella antigens, as in our previous report [14,15].

2.3. Identification by VITEK MS and VITEK2 Systems

All Salmonella strains were identified using the VITEK MS system (bioMérieux, Lyon, France), according to the manufacturer’s instructions. The results were interpreted using VITEK MS v3.0, (n = 1167) until October 2019, and VITEK MS v3.2 (n = 222) was used thereafter. A fresh colony was smeared onto a 48-wall target plate and covered with 1 µL of α-cyano-4-hydroxycinnamic acid (CHCA) matrix solution. After drying, the target plate was loaded into the MALDI-TOF VITEK MS system [4]. The developed MS fingerprint was automatically compared to the VITEK MS database v3.0 and v3.2. Escherichia coli ATCC 8739 was used as the quality control strain. Additionally, we tested the VITEK2 system for 93 typhoidal Salmonella, including 20 Salmonella ser. Paratyphi A, 9 Salmonella ser. Paratyphi B, 64 Salmonella ser. Typhi, and 5 Salmonella enterica subsp. diarizonae.

2.4. Database and Analysis

Table 1 shows the database of the VITEK MS ver3.0, ver3.2, and VITEK2 systems for Salmonella spp. VITEK MS v3.0 reports the results for Salmonella ser. Typhi, Salmonella ser. Paratyphi A, Salmonella ser. Gallinarum, Salmonella enterica subsp. arizonae/Salmonella enterica subsp. diarizonae, and Salmonella groups. The Salmonella group refers to all S. enterica strains other than those mentioned above. The reports of VITEK MS v3.2 were simplified as two results: Salmonella enterica ssp. arizonae/Salmonella enterica ssp. diarizonae and Salmonella enterica ssp. enterica. For the VITEK2 system, six results were included in the database, including the Salmonella ser. Typhi, Salmonella ser. Paratyphi A, Salmonella ser. Gallinarum, Salmonella enterica subsp. arizonae, Salmonella enterica subsp. diarizonae, and Salmonella groups.
The results of the VITEK MS were compared with those of the final identification by serotyping. The difference in the results between the VITEK2 system and VITEK MS for 93 typhoidal Salmonella and 5 Salmonella enterica ssp. diarizonae were analyzed.

3. Results

A total of 1389 Salmonella strains were included in this study (Table 2). These comprised 66 serotypes of 1167 Salmonella isolates for VITEK MS v3.0 analysis, and 27 serotypes of 222 Salmonella isolates for VITEK MS v3.2. In the analysis using VITEK MS v3.0, 72 typhoidal Salmonella spp. (14 Salmonella serovar. Paratyphi A, 7 Salmonella ser. Paratyphi B, 51 Salmonella ser. Typhi), 2 Salmonella enterica subsp. diarizonae (1 Salmonella ser. IIIb 47:r:z and 1 Salmonella ser. IIIb 48:k:z), and 1093 other Salmonella enterica subsp. enterica were included. In the analysis using VITEK MS v3.2, 21 typhoidal Salmonella isolates (6 Salmonella ser. Paratyphi A, 2 Salmonella serovars. Paratyphi B, and 13 Salmonella ser. Typhi), 3 Salmonella enterica subsp. diarizonae (1 Salmonella ser. IIIb 47:r:z and 2 Salmonella ser. IIIb 48:k:z), and 198 other Salmonella enterica ssp. enterica were included.
All 1389 Salmonella strains were correctly identified as Salmonella by VITEK MS at the genus level (Table 3). The results of VITEK MS v3.0 (n = 1167) were as follows: Salmonella group (n = 1157), Salmonella ser. Paratyphi A (n = 3), Salmonella ser. Paratyphi A/Salmonella (n = 3), Salmonella ser. Typhi/Salmonella group (n = 3), and Salmonella enterica ssp. arizonae/Salmonella enterica ssp. diarizonae (n = 1). The results of VITEK MS v3.2 (n = 222) were as follows: Salmonella enterica ssp. enterica (n = 221), and Salmonella enterica ssp. enterica/S. enterica ssp. arizonae/S. enterica ssp. diarizonae (n = 1).
We compared the results of VITEK MS v3.0 and 3.2 with those of serotyping and the VITEK2 system for 98 Salmonella isolates (Table 4). VITEK MS v3.0. did not correctly identify typhoidal Salmonella and Salmonella enterica ssp. diarizonae, although these were included in the ver3.0. Only 3 of the 14 Salmonella ser. Paratyphi A isolates were correctly identified, and the other three isolates were partially identified as Salmonella ser. Paratyphi A/Salmonella group. The remaining eight isolates were assigned to the Salmonella group. Most of the Salmonella ser. Typhi was reported to belong to the Salmonella group, although three isolates were partially identified as Salmonella ser. Typhi/Salmonella group. For two Salmonella enterica ssp. diarizonae isolates, Salmonella ser. IIIb 47:r:z was reported as Salmonella group and Salmonella ser. IIIb 48:k:z was reported as Salmonella enterica subsp. arizonae/Salmonella enterica subsp. diarizonae. However, all Salmonella ser. Paratyphi A, Salmonella ser. Typhi, and Salmonella enterica ssp. diarizonae were correctly identified using the VITEK2 system.
There were a few changes in the VITEK MS v3.2 as described in the Methods. VITEK MS v3.2 system identified all six Salmonella ser. Paratyphi A and 13 Salmonella ser. Typhi as Salmonella enterica subsp. enterica. Two Salmonella enterica ssp. diarizonae, including one Salmonella ser. IIIb 47:r:z and one Salmonella ser. IIIb 48:k:z were misidentified as Salmonella enterica subsp. enterica. The remaining one Salmonella enterica ssp. diarizonae was partially identified as Salmonella enterica ssp. enterica/Salmonella enterica ssp. arizonae/Salmonella enterica ssp. diarizonae. All Salmonella isolates were correctly identified using the VITEK2 system.

4. Discussion

More than 2600 serotypes of Salmonella, including 46 type O serogroups and 114 type H serogroups, have been reported [2]. The two major antigens that determine the serotype are bacterial somatic antigens corresponding to O-polysaccharide and flagella antigens corresponding to flagellin proteins. Accurate serotype identification is crucial because the virulence of Salmonella, especially typhoidal Salmonella, varies depending on the serotype [15].
Salmonella identification has been performed using biochemical and serological tests. Automated identification systems such as the VITEK2 system provide rapid, reliable, and highly reproducible results [16]. Recently, MALDI-TOF MS has been commonly used as a routine identification method [5,6]. However, there are a few previous reports on the performance of VITEK MS in identifying Salmonella [11,12,13]. Guo et al. [17] using 1025 bacteria isolated from clinical specimens, reported that VITEK MS exhibited good performance; however, only two strains of Salmonella were included in the report. Richter et al. [6] reported that VITEK MS exhibited good performance in identifying Enterobacteriaceae at the genus and species levels. They reported that 35 isolates of Salmonella enterica ssp. enterica were included, and 33 and 2 strains were correctly identified at the species and genus levels, respectively, using VITEK MS v2.0. Therefore, they concluded that VITEK MS would be appropriate for the identification of Salmonella at the genus and species levels with high accuracy. Wattal et al. [18] evaluated VITEK MS using 12,003 microbial isolates, including Enterobacterales, other gram-negative bacteria, gram-positive bacteria, yeast, fungi, and mycobacteria. They reported that VITEK MS correctly identified 95.8% of the isolates at the species level. Among the 145 Salmonella isolates, 138 isolates were identified as Salmonella; however, seven Salmonella ser. Typhi isolates showed no identification results. Interestingly, they reported that all 18 Salmonella spp. Paratyphi A and 44/51 Salmonella ser. Typhi were correctly identified at the serotype level. In our study, we evaluated the performance of VITEK MS with numerous Salmonella isolates consisting of 66 confirmed serotypes, and all 1389 Salmonella isolates were correctly identified as Salmonella, consistent with the above studies. Collectively, these findings demonstrate that VITEK MS is suitable for the identification of Salmonella at the genus level.
In our study, only three Salmonella ser. Paratyphi A isolates were correctly identified using the VITEK MS v3.0 among 14 Salmonella ser. Paratyphi A and 51 Salmonella ser. Typhi isolates, which is in contrast with the above report by Wattal et al. [18]. Moreover, three Salmonella ser. Paratyphi A and three Salmonella ser. Typhi isolates were partially identified, whereas the others were identified as Salmonella group using VITEK MS v3.0. In the updated VITEK MS v3.2, the serotypes of Salmonella ser. Paratyphi A, Salmonella ser. Typhi, and Salmonella ser. Gallinarum were removed from the database. Another MALDI-TOF MS device, MALDI Biotyper® (Bruker Daltonik GmbH, Germany) is also widely used in clinical laboratories. Bastin et al. [19] reported that the MALDI Biotyper could identify 100% of Salmonella isolates at the genus level; however, it failed to correctly identify the serotype for typhoidal Salmonella.
Using the VITEK2 system, Salmonella ser. Typhi isolates were correctly identified at the serotype level. Therefore, additional biochemical tests, such as the VITEK2 system should be performed for the accurate identification of Salmonella ser. Paratyphi A and Salmonella ser. Typhi. Nevertheless, Salmonella ser. Paratyphi B cannot be correctly identified at the serotype level by either the VITEK2 system or VITEK MS, and additional tests are needed.
There are few reports on the identification of Salmonella enterica ssp. arizonae/Salmonella enterica ssp. diarizonae using VITEK MS. In this study, we found that the results for Salmonella enterica ssp. arizonae/S. enterica ssp. diarizonae using VITEK MS v3.0 and v3.2 were not suitable for the final identification of the pathogens (Table 4). Only one Salmonella enterica ssp. diarizonae isolate was correctly identified by VITEK MS. In contrast, one and three Salmonella enterica ssp. diarizonae isolates were partially identified and misidentified, respectively. Nevertheless, these five isolates were correctly identified as Salmonella enterica ssp. diarizonae using the VITEK2 system. Therefore, we believe that biochemical identification systems, such as the VITEK2 system, are useful for the accurate identification of Salmonella enterica subsp. diarizonae.

5. Conclusions

In this study, we demonstrated that VITEK MS can identify most of the common serotypes of Salmonella in the Salmonella group or Salmonella enterica subsp. enterica with 100% sensitivity. However, additional tests, such as the VITEK2 system, are required to confirm the presence of typhoidal Salmonella spp. (Salmonella ser. Typhi, and Salmonella ser. Paratyphi A).

Author Contributions

Conceptualization, G.R.K., S.H.K. and J.H.S. (Jeong Hwan Shin); Methodology, G.R.K., E.H.P. and I.Y.H.; Validation, S.H.K. and E.-Y.K.; Writing—Original Draft Preparation, G.R.K. and S.H.K.; Writing—Review and Editing, S.H.K., E.-Y.K. and J.H.S. (Jeong Hwan Shin); Resources, S.H.J., H.S.K., Y.A.K., Y.U., K.S.S., Y.R.K., N.R. and J.H.S. (Jong Hee Shin); Supervision, J.H.S. (Jeong Hwan Shin). All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Research Program funded by the Korean Disease Control and Prevention Agency (2020E540600). This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2021R1C1C1007969).

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of Inje University Busan Paik Hospital (2022-08-054) with consent exemption.

Informed Consent Statement

Not applicable.

Data Availability Statement

Patient consent was waived because personal information was not used.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Najjar, Z.; Furlong, C.; Stephens, N.; Shadbolt, C.; Maywood, P.; Conaty, S.; Hogg, G. An outbreak of Salmonella Infantis gastroenteritis in a residential aged care facility associated with thickened fluids. Epidemiol. Infect. 2012, 140, 2264–2272. [Google Scholar] [CrossRef] [PubMed]
  2. Alzwghaibi, A.B.; Yahyaraeyat, R.; Fasaei, B.N.; Langeroudi, A.G.; Salehi, T.Z. Rapid molecular identification and differentiation of common Salmonella serovars isolated from poultry, domestic animals and foodstuff using multiplex PCR assay. Arch. Microbiol. 2018, 200, 1009–1016. [Google Scholar] [CrossRef] [PubMed]
  3. Reis, R.O.D.; Souza, M.N.; Cecconi, M.C.P.; Timm, L.; Ikuta, N.; Simon, D.; Wolf, J.M.; Lunge, V.R. Increasing prevalence and dissemination of invasive nontyphoidal Salmonella serotype Typhimurium with multidrug resistance in hospitalized patients from southern Brazil. Braz. J. Infect. Dis. 2018, 22, 424–432. [Google Scholar] [CrossRef] [PubMed]
  4. Deng, J.K.; Fu, L.; Wang, R.L.; Yu, N.; Ding, X.X.; Jiang, L.X.; Fang, Y.P.; Jiang, C.H.; Lin, L.J.; Wang, Y.; et al. Comparison of MALDI-TOF MS, gene sequencing and the Vitek 2 for identification of seventy-three clinical isolates of enteropathogens. J. Thorac. Dis. 2014, 6, 539–544. [Google Scholar] [CrossRef] [PubMed]
  5. Tsuchida, S.; Nakayama, T. MALDI-Based Mass Spectrometry in Clinical Testing: Focus on Bacterial Identification. Appl. Sci. 2022, 12, 2814. [Google Scholar] [CrossRef]
  6. Richter, S.S.; Sercia, L.; Branda, J.A.; Burnham, C.A.; Bythrow, M.; Ferraro, M.J.; Garner, O.B.; Ginocchio, C.C.; Jennemann, R.; Lewinski, M.A.; et al. Identification of Enterobacteriaceae by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry using the VITEK MS system. Eur. J. Clin. Microbiol. Infect. Dis. 2013, 32, 1571–1578. [Google Scholar] [CrossRef] [PubMed]
  7. Lee, M.; Chung, H.S.; Moon, H.W.; Lee, S.H.; Lee, K. Comparative evaluation of two matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) systems, Vitek MS and Microflex LT, for the identification of Gram-positive cocci routinely isolated in clinical microbiology laboratories. J. Microbiol. Methods 2015, 113, 13–15. [Google Scholar] [CrossRef] [PubMed]
  8. Lee, W.; Kim, M.; Yong, D.; Jeong, S.H.; Lee, K.; Chong, Y. Evaluation of VITEK mass spectrometry (MS), a matrix-assisted laser desorption ionization time-of-flight MS system for identification of anaerobic bacteria. Ann. Lab. Med. 2015, 35, 69–75. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Kim, S.Y.; Park, J.S.; Hong, Y.J.; Kim, T.S.; Hong, K.; Song, K.H.; Lee, H.; Kim, E.S.; Kim, H.B.; Park, K.U.; et al. Microarray-Based Nucleic Acid Assay and MALDI-TOF MS Analysis for the Detection of Gram-Negative Bacteria in Direct Blood Cultures. Am. J. Clin. Pathol. 2019, 151, 143–153. [Google Scholar] [CrossRef] [PubMed]
  10. Shin, J.H.; Kim, S.H.; Lee, D.; Lee, S.Y.; Chun, S.; Lee, J.H.; Won, E.J.; Choi, H.J.; Choi, H.W.; Kee, S.J.; et al. Performance Evaluation of VITEK MS for the Identification of a Wide Spectrum of Clinically Relevant Filamentous Fungi Using a Korean Collection. Ann. Lab. Med. 2021, 41, 214–220. [Google Scholar] [CrossRef] [PubMed]
  11. Dieckmann, R.; Malorny, B. Rapid screening of epidemiologically important Salmonella enterica subsp. enterica serovars by whole-cell matrix-assisted laser desorption ionization-time of flight mass spectrometry. Appl. Environ. Microbiol. 2011, 77, 4136–4146. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Sparbier, K.; Weller, U.; Boogen, C.; Kostrzewa, M. Rapid detection of Salmonella sp. by means of a combination of selective enrichment broth and MALDI-TOF MS. Eur. J. Clin. Microbiol. Infect. Dis. 2012, 31, 767–773. [Google Scholar] [CrossRef] [PubMed]
  13. Fukuyama, Y.; Ojima-Kato, T.; Nagai, S.; Shima, K.; Funatsu, S.; Yamada, Y.; Tamura, H.; Nomura, S.; Ogata, K.; Sekiya, S.; et al. Improved MALDI-MS method for the highly sensitive and reproducible detection of biomarker peaks for the proteotyping of Salmonella serotypes. J. Mass Spectrom. 2019, 54, 966–975. [Google Scholar] [CrossRef] [PubMed]
  14. Kim, S.H.; Park, E.H.; Hwang, I.Y.; Lee, H.M.; Song, A.M.; Lee, M.A. Serotyping and Antimicrobial Susceptibility of Salmonella Isolated in Korea in 2015. Ann. Lab. Med. 2019, 22, 55–60. [Google Scholar] [CrossRef]
  15. Kim, S.H.; Sung, G.H.; Park, E.H.; Hwang, I.Y.; Kim, G.R.; Song, S.A.; Lee, H.K.; Uh, Y.; Kim, Y.A.; Jeong, S.H.; et al. Serotype Distribution and Antimicrobial Resistance of Salmonella Isolates in Korea between 2016 and 2017. Ann. Lab. Med. 2022, 42, 268–273. [Google Scholar] [CrossRef] [PubMed]
  16. Ling, T.K.; Liu, Z.K.; Cheng, A.F. Evaluation of the VITEK 2 system for rapid direct identification and susceptibility testing of gram-negative bacilli from positive blood cultures. J. Clin. Microbiol. 2003, 41, 4705–4707. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Guo, L.; Ye, L.; Zhao, Q.; Ma, Y.; Yang, J.; Luo, Y. Comparative study of MALDI-TOF MS and VITEK 2 in bacteria identification. J. Thorac. Dis. 2014, 6, 534–538. [Google Scholar] [CrossRef] [PubMed]
  18. Wattal, C.; Oberoi, J.K.; Goel, N.; Raveendran, R.; Khanna, S. Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) for rapid identification of micro-organisms in the routine clinical microbiology laboratory. Eur. J. Clin. Microbiol. Infect. Dis. 2017, 36, 807–812. [Google Scholar] [CrossRef] [PubMed]
  19. Bastin, B.; Bird, P.; Benzinger, M.J.; Crowley, E.; Agin, J.; Goins, D.; Sohier, D.; Timke, M.; Shi, G.; Kostrzewa, M. Confirmation and Identification of Salmonella spp., Cronobacter spp., and Other Gram-Negative Organisms by the Bruker MALDI Biotyper Method: Collaborative Study Method Extension to Include Campylobacter Species, Revised First Action 2017.09. J. AOAC Int. 2019, 102, 1595–1616. [Google Scholar] [CrossRef] [PubMed]
Table
Table 1. Database of VITEK MS v3.0, v3.2, and VITEK2 system for Salmonella.
Table 1. Database of VITEK MS v3.0, v3.2, and VITEK2 system for Salmonella.
System TypeDatabase List
VITEK2 systemSalmonella group
Salmonella ser. Gallinarum
Salmonella ser. Paratyphi A
Salmonella ser. Typhi
Salmonella enterica ssp. arizonae
Salmonella enterica ssp. diarizonae
VITEK MS v3.0Salmonella group
Salmonella ser. Gallinarum
Salmonella ser. Paratyphi A
Salmonella ser. Typhi
Salmonella enterica ssp. arizonae/diarizonae
VITEK MS v3.2Salmonella enterica ssp. enterica
Salmonella enterica ssp. arizonae/diarizonae
Table
Table 2. Serotype distribution of Salmonella in this study.
Table 2. Serotype distribution of Salmonella in this study.
SerotypeVITEK MS v3.0VITEK MS v3.2
(n = 1167)(n = 222)
N N
I4,[5],12:i:-22038
Enteritidis17165
Bareilly12121
Typhimurium8710
Infantis8322
Thompson561
Agona536
Typhi5113
Montevideo344
Livingstone340
Stanley261
Virchow202
Panama202
Newport166
Saintpaul152
Paratyphi A146
Mbandaka141
Braenderup114
Othmarschen103
Rissen93
Paratyphi B72
Others †9510
† Others: VITEK MS v3.0: Salmonella ser. Agama, Agbeni, Albany, Bovismorbificans, Brunei, Cerro, Choleraesuis, Derby, Dessau, Ebrie, Essen, Give, Hadar, Hato, Heidelberg, Hindmarsh, I4,[5],12:-:-, Inganda, Kentucky, Kingston, Konstanz, Kottbus, Litchfield, London, Muenchen, Muenster, Ohio, Oslo, Ponoma, Poona, Reading, Sandiego, Schleissheim, Schwarzemgrund, Senftenberg, Simi, Singapore, Sinstorf, Uganda, Urbana, Wa, Weltevreden, Weltevreden var. 15+, IIIb 47:r:z, and IIIb 48:k:z. VITEK MS v3.2: Salmonella ser. Derby, Give, London, Ohio, Simi, IIIb 47:r:z, IIIb 48:k: z.
Table
Table 3. Salmonella identification results by VITEK MS v3.0 and v3.2.
Table 3. Salmonella identification results by VITEK MS v3.0 and v3.2.
VITEK MS (N)MALDI-TOF VITEK MS Resultsn (%)
v3.0 (1167)Salmonella group1157 (99.1)
Salmonella ser. Paratyphi A3 (0.3)
Salmonella ser. Paratyphi A/Salmonella group3 (0.3)
Salmonella ser. Typhi/Salmonella group3 (0.3)
Salmonella enterica ssp. arizonae/Salmonella enterica ssp. diarizonae1 (0.1)
v3.2 (222)Salmonella enterica ssp. enterica221 (99.5)
Salmonella enterica ssp. enterica/Salmonella enterica ssp. arizonae/Salmonella enterica ssp. diarizonae1 (0.5)
Table
Table 4. Comparison between the performance of VITEK MS and VITEK2 systems in identifying serotype or subspecies.
Table 4. Comparison between the performance of VITEK MS and VITEK2 systems in identifying serotype or subspecies.
VITEK MSSerotype (n)NVITEK MSsVITEK2 System
v3.0Paratyphi A (14)8Salmonella groupSalmonella ser. Paratyphi A
3Salmonella ser. Paratyphi ASalmonella ser. Paratyphi A
3Salmonella ser. Paratyphi A / Salmonella groupSalmonella ser. Paratyphi A
Paratyphi B (7)7Salmonella groupSalmonella group
Typhi (51)48Salmonella groupSalmonella ser. Typhi
3Salmonella ser. Typhi Salmonella groupSalmonella ser. Typhi
IIIb 47:r:z (1)1Salmonella groupSalmonella enterica ssp. diarizonae
IIIb 48:k:z (1)1Salmonella enterica ssp. arizonae/Salmonella enterica ssp. diarizonaeSalmonella enterica ssp. diarizonae
v3.2Paratyphi A (6)6Salmonella enterica ssp. entericaSalmonella ser. Paratyphi A
Paratyphi B (2)2Salmonella enterica ssp. entericaSalmonella group
Typhi (13)13Salmonella enterica ssp. entericaSalmonella ser. Typhi
IIIb 47:r:z (1)1Salmonella enterica ssp. entericaSalmonella enterica ssp. diarizonae
IIIb 48:k:z (2)1Salmonella enterica ssp. entericaSalmonella enterica ssp. diarizonae
1Salmonella enterica ssp. enterica/Salmonella enterica ssp. arizonae/Salmonella enterica ssp. diarizonaeSalmonella enterica ssp. diarizonae
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Kim, G.R.; Kim, S.H.; Kim, E.-Y.; Park, E.H.; Hwang, I.Y.; Jeong, S.H.; Kim, H.S.; Kim, Y.A.; Uh, Y.; Shin, K.S.; et al. Performance of MALDI-TOF Mass Spectrometry (VITEK MS) in the Identification of Salmonella Species. Microorganisms 2022, 10, 1974. https://doi.org/10.3390/microorganisms10101974

AMA Style

Kim GR, Kim SH, Kim E-Y, Park EH, Hwang IY, Jeong SH, Kim HS, Kim YA, Uh Y, Shin KS, et al. Performance of MALDI-TOF Mass Spectrometry (VITEK MS) in the Identification of Salmonella Species. Microorganisms. 2022; 10(10):1974. https://doi.org/10.3390/microorganisms10101974

Chicago/Turabian Style

Kim, Gyu Ri, Si Hyun Kim, Eun-Young Kim, Eun Hee Park, In Yeong Hwang, Seok Hoon Jeong, Hyun Soo Kim, Young Ah Kim, Young Uh, Kyeong Seob Shin, and et al. 2022. "Performance of MALDI-TOF Mass Spectrometry (VITEK MS) in the Identification of Salmonella Species" Microorganisms 10, no. 10: 1974. https://doi.org/10.3390/microorganisms10101974

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop