Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi

Abstract Background Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microbial identification. However, there is a lack of data on its performance in identifying filamentous fungi. The objective of our study was to evaluate the accuracy o...
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Autor*in:	Keping Ao [verfasserIn] Xiaohan Li [verfasserIn] Weili Zhang [verfasserIn] Zhixing Chen [verfasserIn] Ya Liu [verfasserIn] Ling Shu [verfasserIn] Yuling Xiao [verfasserIn] Siying Wu [verfasserIn] Yi Xie [verfasserIn] Mei Kang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	MALDI-TOF Autof ms1000 Mass spectrometry Filamentous fungi Isolates identification Accuracy

Übergeordnetes Werk:	In: BMC Microbiology - BMC, 2003, 23(2023), 1, Seite 6
Übergeordnetes Werk:	volume:23 ; year:2023 ; number:1 ; pages:6

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/s12866-023-02968-w

Katalog-ID:	DOAJ093309767

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520			\|a Abstract Background Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microbial identification. However, there is a lack of data on its performance in identifying filamentous fungi. The objective of our study was to evaluate the accuracy of the Autof ms1000 mass spectrometry for identifying filamentous fungi in the clinical microbiology laboratory. Results Among 106 samples tested using the Autof ms1000 system, 101 (95.28%) were identified at the genus or species level, and 81 (76.41%) were accurately identified at the species level. Additionally, we developed a new rapid formic acid extraction method with simple pretreatment for filamentous fungi that saved time and provided accurate results. Conclusions The Autof ms1000 mass spectrometer proved to be a valuable tool for identifying filamentous fungi. However, upgrading the database is recommended for correctly identifying rare strains.
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allfields	10.1186/s12866-023-02968-w doi (DE-627)DOAJ093309767 (DE-599)DOAJ4326e68937304df180c973f2c7e0a4fc DE-627 ger DE-627 rakwb eng QR1-502 Keping Ao verfasserin aut Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microbial identification. However, there is a lack of data on its performance in identifying filamentous fungi. The objective of our study was to evaluate the accuracy of the Autof ms1000 mass spectrometry for identifying filamentous fungi in the clinical microbiology laboratory. Results Among 106 samples tested using the Autof ms1000 system, 101 (95.28%) were identified at the genus or species level, and 81 (76.41%) were accurately identified at the species level. Additionally, we developed a new rapid formic acid extraction method with simple pretreatment for filamentous fungi that saved time and provided accurate results. Conclusions The Autof ms1000 mass spectrometer proved to be a valuable tool for identifying filamentous fungi. However, upgrading the database is recommended for correctly identifying rare strains. MALDI-TOF Autof ms1000 Mass spectrometry Filamentous fungi Isolates identification Accuracy Microbiology Xiaohan Li verfasserin aut Weili Zhang verfasserin aut Zhixing Chen verfasserin aut Ya Liu verfasserin aut Ling Shu verfasserin aut Yuling Xiao verfasserin aut Siying Wu verfasserin aut Yi Xie verfasserin aut Mei Kang verfasserin aut In BMC Microbiology BMC, 2003 23(2023), 1, Seite 6 (DE-627)326644997 (DE-600)2041505-9 14712180 nnns volume:23 year:2023 number:1 pages:6 https://doi.org/10.1186/s12866-023-02968-w kostenfrei https://doaj.org/article/4326e68937304df180c973f2c7e0a4fc kostenfrei https://doi.org/10.1186/s12866-023-02968-w kostenfrei https://doaj.org/toc/1471-2180 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2023 1 6
spelling	10.1186/s12866-023-02968-w doi (DE-627)DOAJ093309767 (DE-599)DOAJ4326e68937304df180c973f2c7e0a4fc DE-627 ger DE-627 rakwb eng QR1-502 Keping Ao verfasserin aut Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microbial identification. However, there is a lack of data on its performance in identifying filamentous fungi. The objective of our study was to evaluate the accuracy of the Autof ms1000 mass spectrometry for identifying filamentous fungi in the clinical microbiology laboratory. Results Among 106 samples tested using the Autof ms1000 system, 101 (95.28%) were identified at the genus or species level, and 81 (76.41%) were accurately identified at the species level. Additionally, we developed a new rapid formic acid extraction method with simple pretreatment for filamentous fungi that saved time and provided accurate results. Conclusions The Autof ms1000 mass spectrometer proved to be a valuable tool for identifying filamentous fungi. However, upgrading the database is recommended for correctly identifying rare strains. MALDI-TOF Autof ms1000 Mass spectrometry Filamentous fungi Isolates identification Accuracy Microbiology Xiaohan Li verfasserin aut Weili Zhang verfasserin aut Zhixing Chen verfasserin aut Ya Liu verfasserin aut Ling Shu verfasserin aut Yuling Xiao verfasserin aut Siying Wu verfasserin aut Yi Xie verfasserin aut Mei Kang verfasserin aut In BMC Microbiology BMC, 2003 23(2023), 1, Seite 6 (DE-627)326644997 (DE-600)2041505-9 14712180 nnns volume:23 year:2023 number:1 pages:6 https://doi.org/10.1186/s12866-023-02968-w kostenfrei https://doaj.org/article/4326e68937304df180c973f2c7e0a4fc kostenfrei https://doi.org/10.1186/s12866-023-02968-w kostenfrei https://doaj.org/toc/1471-2180 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2023 1 6
allfields_unstemmed	10.1186/s12866-023-02968-w doi (DE-627)DOAJ093309767 (DE-599)DOAJ4326e68937304df180c973f2c7e0a4fc DE-627 ger DE-627 rakwb eng QR1-502 Keping Ao verfasserin aut Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microbial identification. However, there is a lack of data on its performance in identifying filamentous fungi. The objective of our study was to evaluate the accuracy of the Autof ms1000 mass spectrometry for identifying filamentous fungi in the clinical microbiology laboratory. Results Among 106 samples tested using the Autof ms1000 system, 101 (95.28%) were identified at the genus or species level, and 81 (76.41%) were accurately identified at the species level. Additionally, we developed a new rapid formic acid extraction method with simple pretreatment for filamentous fungi that saved time and provided accurate results. Conclusions The Autof ms1000 mass spectrometer proved to be a valuable tool for identifying filamentous fungi. However, upgrading the database is recommended for correctly identifying rare strains. MALDI-TOF Autof ms1000 Mass spectrometry Filamentous fungi Isolates identification Accuracy Microbiology Xiaohan Li verfasserin aut Weili Zhang verfasserin aut Zhixing Chen verfasserin aut Ya Liu verfasserin aut Ling Shu verfasserin aut Yuling Xiao verfasserin aut Siying Wu verfasserin aut Yi Xie verfasserin aut Mei Kang verfasserin aut In BMC Microbiology BMC, 2003 23(2023), 1, Seite 6 (DE-627)326644997 (DE-600)2041505-9 14712180 nnns volume:23 year:2023 number:1 pages:6 https://doi.org/10.1186/s12866-023-02968-w kostenfrei https://doaj.org/article/4326e68937304df180c973f2c7e0a4fc kostenfrei https://doi.org/10.1186/s12866-023-02968-w kostenfrei https://doaj.org/toc/1471-2180 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2023 1 6
allfieldsGer	10.1186/s12866-023-02968-w doi (DE-627)DOAJ093309767 (DE-599)DOAJ4326e68937304df180c973f2c7e0a4fc DE-627 ger DE-627 rakwb eng QR1-502 Keping Ao verfasserin aut Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microbial identification. However, there is a lack of data on its performance in identifying filamentous fungi. The objective of our study was to evaluate the accuracy of the Autof ms1000 mass spectrometry for identifying filamentous fungi in the clinical microbiology laboratory. Results Among 106 samples tested using the Autof ms1000 system, 101 (95.28%) were identified at the genus or species level, and 81 (76.41%) were accurately identified at the species level. Additionally, we developed a new rapid formic acid extraction method with simple pretreatment for filamentous fungi that saved time and provided accurate results. Conclusions The Autof ms1000 mass spectrometer proved to be a valuable tool for identifying filamentous fungi. However, upgrading the database is recommended for correctly identifying rare strains. MALDI-TOF Autof ms1000 Mass spectrometry Filamentous fungi Isolates identification Accuracy Microbiology Xiaohan Li verfasserin aut Weili Zhang verfasserin aut Zhixing Chen verfasserin aut Ya Liu verfasserin aut Ling Shu verfasserin aut Yuling Xiao verfasserin aut Siying Wu verfasserin aut Yi Xie verfasserin aut Mei Kang verfasserin aut In BMC Microbiology BMC, 2003 23(2023), 1, Seite 6 (DE-627)326644997 (DE-600)2041505-9 14712180 nnns volume:23 year:2023 number:1 pages:6 https://doi.org/10.1186/s12866-023-02968-w kostenfrei https://doaj.org/article/4326e68937304df180c973f2c7e0a4fc kostenfrei https://doi.org/10.1186/s12866-023-02968-w kostenfrei https://doaj.org/toc/1471-2180 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2023 1 6
allfieldsSound	10.1186/s12866-023-02968-w doi (DE-627)DOAJ093309767 (DE-599)DOAJ4326e68937304df180c973f2c7e0a4fc DE-627 ger DE-627 rakwb eng QR1-502 Keping Ao verfasserin aut Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microbial identification. However, there is a lack of data on its performance in identifying filamentous fungi. The objective of our study was to evaluate the accuracy of the Autof ms1000 mass spectrometry for identifying filamentous fungi in the clinical microbiology laboratory. Results Among 106 samples tested using the Autof ms1000 system, 101 (95.28%) were identified at the genus or species level, and 81 (76.41%) were accurately identified at the species level. Additionally, we developed a new rapid formic acid extraction method with simple pretreatment for filamentous fungi that saved time and provided accurate results. Conclusions The Autof ms1000 mass spectrometer proved to be a valuable tool for identifying filamentous fungi. However, upgrading the database is recommended for correctly identifying rare strains. MALDI-TOF Autof ms1000 Mass spectrometry Filamentous fungi Isolates identification Accuracy Microbiology Xiaohan Li verfasserin aut Weili Zhang verfasserin aut Zhixing Chen verfasserin aut Ya Liu verfasserin aut Ling Shu verfasserin aut Yuling Xiao verfasserin aut Siying Wu verfasserin aut Yi Xie verfasserin aut Mei Kang verfasserin aut In BMC Microbiology BMC, 2003 23(2023), 1, Seite 6 (DE-627)326644997 (DE-600)2041505-9 14712180 nnns volume:23 year:2023 number:1 pages:6 https://doi.org/10.1186/s12866-023-02968-w kostenfrei https://doaj.org/article/4326e68937304df180c973f2c7e0a4fc kostenfrei https://doi.org/10.1186/s12866-023-02968-w kostenfrei https://doaj.org/toc/1471-2180 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2023 1 6
language	English
source	In BMC Microbiology 23(2023), 1, Seite 6 volume:23 year:2023 number:1 pages:6
sourceStr	In BMC Microbiology 23(2023), 1, Seite 6 volume:23 year:2023 number:1 pages:6
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	MALDI-TOF Autof ms1000 Mass spectrometry Filamentous fungi Isolates identification Accuracy Microbiology
isfreeaccess_bool	true
container_title	BMC Microbiology
authorswithroles_txt_mv	Keping Ao @@aut@@ Xiaohan Li @@aut@@ Weili Zhang @@aut@@ Zhixing Chen @@aut@@ Ya Liu @@aut@@ Ling Shu @@aut@@ Yuling Xiao @@aut@@ Siying Wu @@aut@@ Yi Xie @@aut@@ Mei Kang @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	326644997
id	DOAJ093309767
language_de	englisch
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callnumber-first	Q - Science
author	Keping Ao
spellingShingle	Keping Ao misc QR1-502 misc MALDI-TOF misc Autof ms1000 misc Mass spectrometry misc Filamentous fungi misc Isolates identification misc Accuracy misc Microbiology Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi
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topic_title	QR1-502 Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi MALDI-TOF Autof ms1000 Mass spectrometry Filamentous fungi Isolates identification Accuracy
topic	misc QR1-502 misc MALDI-TOF misc Autof ms1000 misc Mass spectrometry misc Filamentous fungi misc Isolates identification misc Accuracy misc Microbiology
topic_unstemmed	misc QR1-502 misc MALDI-TOF misc Autof ms1000 misc Mass spectrometry misc Filamentous fungi misc Isolates identification misc Accuracy misc Microbiology
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title	Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi
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title_full	Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi
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author_browse	Keping Ao Xiaohan Li Weili Zhang Zhixing Chen Ya Liu Ling Shu Yuling Xiao Siying Wu Yi Xie Mei Kang
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title_sort	evaluation of the autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi
callnumber	QR1-502
title_auth	Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi
abstract	Abstract Background Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microbial identification. However, there is a lack of data on its performance in identifying filamentous fungi. The objective of our study was to evaluate the accuracy of the Autof ms1000 mass spectrometry for identifying filamentous fungi in the clinical microbiology laboratory. Results Among 106 samples tested using the Autof ms1000 system, 101 (95.28%) were identified at the genus or species level, and 81 (76.41%) were accurately identified at the species level. Additionally, we developed a new rapid formic acid extraction method with simple pretreatment for filamentous fungi that saved time and provided accurate results. Conclusions The Autof ms1000 mass spectrometer proved to be a valuable tool for identifying filamentous fungi. However, upgrading the database is recommended for correctly identifying rare strains.
abstractGer	Abstract Background Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microbial identification. However, there is a lack of data on its performance in identifying filamentous fungi. The objective of our study was to evaluate the accuracy of the Autof ms1000 mass spectrometry for identifying filamentous fungi in the clinical microbiology laboratory. Results Among 106 samples tested using the Autof ms1000 system, 101 (95.28%) were identified at the genus or species level, and 81 (76.41%) were accurately identified at the species level. Additionally, we developed a new rapid formic acid extraction method with simple pretreatment for filamentous fungi that saved time and provided accurate results. Conclusions The Autof ms1000 mass spectrometer proved to be a valuable tool for identifying filamentous fungi. However, upgrading the database is recommended for correctly identifying rare strains.
abstract_unstemmed	Abstract Background Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microbial identification. However, there is a lack of data on its performance in identifying filamentous fungi. The objective of our study was to evaluate the accuracy of the Autof ms1000 mass spectrometry for identifying filamentous fungi in the clinical microbiology laboratory. Results Among 106 samples tested using the Autof ms1000 system, 101 (95.28%) were identified at the genus or species level, and 81 (76.41%) were accurately identified at the species level. Additionally, we developed a new rapid formic acid extraction method with simple pretreatment for filamentous fungi that saved time and provided accurate results. Conclusions The Autof ms1000 mass spectrometer proved to be a valuable tool for identifying filamentous fungi. However, upgrading the database is recommended for correctly identifying rare strains.
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title_short	Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi
url	https://doi.org/10.1186/s12866-023-02968-w https://doaj.org/article/4326e68937304df180c973f2c7e0a4fc https://doaj.org/toc/1471-2180
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Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi

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