MALDI-TOF MS is more accurate than VITEK II ANC card and API Rapid ID 32 A system for the identification of Clostridium species

Young Jin Kim; Si Hyun Kim; Hyun Jung Park; Hae Geun Park; Dongchul Park; Sae Am Song; Hee Joo Lee; Dongeun Yong; Jun Yong Choi; Joong Ki Kook; Hye Ran Kim; Jeong Hwan Shin

doi:10.1016/j.anaerobe.2016.06.004

MALDI-TOF MS is more accurate than VITEK II ANC card and API Rapid ID 32 A system for the identification of Clostridium species

Young Jin Kim, Si Hyun Kim, Hyun Jung Park, Hae Geun Park, Dongchul Park, Sae Am Song, Hee Joo Lee, Dongeun Yong, Jun Yong Choi, Joong Ki Kook, Hye Ran Kim, Jeong Hwan Shin

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

All 50 Clostridium difficile strains were definitely identified by Vitek2 system, Rapid ID 32A system, and MALDI-TOF. For 18 non-difficile Clostridium strains, the identification results were correct in 0, 2, and 17 strains by Vitek2, Rapid ID 32A, and MALDI-TOF, respectively. MALDI-TOF could be used as the primary tool for identification of Clostridium species.

Original language	English
Pages (from-to)	73-75
Number of pages	3
Journal	Anaerobe
Volume	40
DOIs	https://doi.org/10.1016/j.anaerobe.2016.06.004
Publication status	Published - 2016 Aug 1

Bibliographical note

Funding Information:
This work was supported by the BioNano Health-Guard Research Center funded by the Ministry of Science, ICT & Future Planning (MSIP) of Korea as a Global Frontier Project (Grant Number H-GUARD_2014M3A6B2060509 ).

Publisher Copyright:
© 2016 Elsevier Ltd.

All Science Journal Classification (ASJC) codes

Microbiology
Infectious Diseases

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.anaerobe.2016.06.004

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title = "MALDI-TOF MS is more accurate than VITEK II ANC card and API Rapid ID 32 A system for the identification of Clostridium species",

abstract = "All 50 Clostridium difficile strains were definitely identified by Vitek2 system, Rapid ID 32A system, and MALDI-TOF. For 18 non-difficile Clostridium strains, the identification results were correct in 0, 2, and 17 strains by Vitek2, Rapid ID 32A, and MALDI-TOF, respectively. MALDI-TOF could be used as the primary tool for identification of Clostridium species.",

author = "Kim, {Young Jin} and Kim, {Si Hyun} and Park, {Hyun Jung} and Park, {Hae Geun} and Dongchul Park and Song, {Sae Am} and Lee, {Hee Joo} and Dongeun Yong and Choi, {Jun Yong} and Kook, {Joong Ki} and Kim, {Hye Ran} and Shin, {Jeong Hwan}",

note = "Funding Information: This work was supported by the BioNano Health-Guard Research Center funded by the Ministry of Science, ICT & Future Planning (MSIP) of Korea as a Global Frontier Project (Grant Number H-GUARD_2014M3A6B2060509 ). Publisher Copyright: {\textcopyright} 2016 Elsevier Ltd.",

year = "2016",

month = aug,

day = "1",

doi = "10.1016/j.anaerobe.2016.06.004",

language = "English",

volume = "40",

pages = "73--75",

journal = "Anaerobe",

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T1 - MALDI-TOF MS is more accurate than VITEK II ANC card and API Rapid ID 32 A system for the identification of Clostridium species

AU - Kim, Young Jin

AU - Kim, Si Hyun

AU - Park, Hyun Jung

AU - Park, Hae Geun

AU - Park, Dongchul

AU - Song, Sae Am

AU - Lee, Hee Joo

AU - Yong, Dongeun

AU - Choi, Jun Yong

AU - Kook, Joong Ki

AU - Kim, Hye Ran

AU - Shin, Jeong Hwan

N1 - Funding Information: This work was supported by the BioNano Health-Guard Research Center funded by the Ministry of Science, ICT & Future Planning (MSIP) of Korea as a Global Frontier Project (Grant Number H-GUARD_2014M3A6B2060509 ). Publisher Copyright: © 2016 Elsevier Ltd.

PY - 2016/8/1

Y1 - 2016/8/1

N2 - All 50 Clostridium difficile strains were definitely identified by Vitek2 system, Rapid ID 32A system, and MALDI-TOF. For 18 non-difficile Clostridium strains, the identification results were correct in 0, 2, and 17 strains by Vitek2, Rapid ID 32A, and MALDI-TOF, respectively. MALDI-TOF could be used as the primary tool for identification of Clostridium species.

AB - All 50 Clostridium difficile strains were definitely identified by Vitek2 system, Rapid ID 32A system, and MALDI-TOF. For 18 non-difficile Clostridium strains, the identification results were correct in 0, 2, and 17 strains by Vitek2, Rapid ID 32A, and MALDI-TOF, respectively. MALDI-TOF could be used as the primary tool for identification of Clostridium species.

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ER -

MALDI-TOF MS is more accurate than VITEK II ANC card and API Rapid ID 32 A system for the identification of Clostridium species

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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