EP0922295A1 - Verfahren zur bestimmung von mikro-organismen - Google Patents

Verfahren zur bestimmung von mikro-organismen

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Publication number
EP0922295A1
EP0922295A1 EP97937712A EP97937712A EP0922295A1 EP 0922295 A1 EP0922295 A1 EP 0922295A1 EP 97937712 A EP97937712 A EP 97937712A EP 97937712 A EP97937712 A EP 97937712A EP 0922295 A1 EP0922295 A1 EP 0922295A1
Authority
EP
European Patent Office
Prior art keywords
maldi
data
tde
bin
cal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP97937712A
Other languages
English (en)
French (fr)
Inventor
Martin Arthur Claydon
Simon Nicholas Davey
Valerie Edwards Jones
Derek Boyd Gordon
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Manchester Metropolitan University
Original Assignee
Manchester Metropolitan University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Manchester Metropolitan University filed Critical Manchester Metropolitan University
Publication of EP0922295A1 publication Critical patent/EP0922295A1/de
Withdrawn legal-status Critical Current

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Classifications

    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12NMICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
    • C12N1/00Microorganisms, e.g. protozoa; Compositions thereof; Processes of propagating, maintaining or preserving microorganisms or compositions thereof; Processes of preparing or isolating a composition containing a microorganism; Culture media therefor
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53Immunoassay; Biospecific binding assay; Materials therefor
    • G01N33/569Immunoassay; Biospecific binding assay; Materials therefor for microorganisms, e.g. protozoa, bacteria, viruses
    • G01N33/56911Bacteria
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/68Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
    • G01N33/6803General methods of protein analysis not limited to specific proteins or families of proteins
    • G01N33/6848Methods of protein analysis involving mass spectrometry
    • G01N33/6851Methods of protein analysis involving laser desorption ionisation mass spectrometry
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01JELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
    • H01J49/00Particle spectrometers or separator tubes

Definitions

  • the present invention concerns the identification of micro-organisms, and more particularly to the differentiation between strains of bacteria.
  • Bio-typing has been used to try to provide the required differentiation. Bio-typing investigates the differences in, for example, toxin production and trytophan dependence between different strains. Even this method frequently fails to identify strains, even where the strains are derived from different patients and where a nosocomial incident (cross-infection) has occurred.
  • MRSA Methycillin Resistant Staphylococcus Aureus
  • the analysis of mycobacteria present particular problems.
  • the pathogenic forms, such as Mycobacterium tuberculosis are typically slow to grow and accurate identification by traditional methods can take many weeks.
  • early identification of tuberculosis is vital in the management of the infection in patients.
  • Chromatographic analysis of derivatised mycolic acids and cell wall lipids is the current method for identification of mycobacteria.
  • such a method requires relatively large amounts of culture for the extraction and derivatisation steps .
  • MALDI-TOF-MS Matrix-Assisted Laser Desorption Ionisation Mass Spectrometry
  • MALDI-TOF-MS spectral data for micro-organisms is spectral data which is dependent on the molecular structure of the microorganisms concerned. In effect, therefore, such data is a 'finger print' for the organism concerned. As a microorganism transmogrifies, its MALDI-TOF-MS spectral data will change to reflect the change in structure/composition of the organism.
  • MALDI-TOF-MS matrix assisted laser desorption ionisation time of flight mass spectrometry
  • apparatus for the screening of micro-organisms characterised in that the apparatus comprises :-
  • the invention enables the identification of microorganisms quickly and without the labour intensive procedures hitherto employed.
  • MALDI-TOF-MS is a high performance mass spectrometry tool, which may be operated by the non-specialist. Furthermore, the equipment required to perform the analysis is relatively inexpensive.
  • the method and/or apparatus of the invention uses dried, solid samples which are easy to handle and store, and which are capable of analysis in accordance with the invention over a wide mass range.
  • the micro-organism Prior to analysis, the micro-organism may be cultured by conventional means, for example, on a nutrient agar plate.
  • the spectrometer samples may be prepared by taking microorganism cells e.g. from a culture medium and applying them directly • to a sample plate and a matrix added. Alternatively the cells may be admixed with the matrix prior to application so that cellular integrity may be retained .
  • the dried matrix-sample mixture is bombarded with laser energy to create gas phase ionic species which are then pulsed into a flight tube. Both positive and negative ions may be generated and identified,
  • the species may be identified by their mass to charge ratio (m/z), which can be identified with an accuracy of better than 0.1%.
  • the m/z value of each spectral peak may be identified from the centr ⁇ id of the peak corresponding to the to the average molecular mass of the particular M+H ion (in the positive ion mode).
  • the spectral data of the unidentified micro-organism is derived from a plurality of laser shots of the sample.
  • the position of the laser energy impinging on the sample is varied, between shots, over the sample spot.
  • This multiple shot technique may assist accurate, reproducible spectral data to be produced.
  • spectra are taken from each and every tracking position over the sample area.
  • a linear analyzer may be used to enhance the sensitivity of the data where limited amounts of sample are available .
  • MALDI-TOF-MS produces unique spectra for each microorganism allowing identification and differentiation between different genera of micro-organisms and even within different strains.
  • the present invention is also useful for the analysis of mycobacteria, since the MALDI-TOF-MS method requires very small amounts of material, can be completed within minutes, and requires no derivatisation step.
  • each spectra compiled in the database is recorded as a graphical representation of a plot of intensity against mass to charge ratio.
  • the spectral data may be recorded in graphic, numerical or electronic format, in digital or analogue form.
  • each spectra is recorded on the storage medium of a computer or computer network.
  • the storage medium may be magnetic, such as floppy disk, tape or hard disk.
  • the storage medium may be optical, such as CD-ROM or laser-disc, in another embodiment the storage medium may be ROM microchips.
  • each spectra is stored as a series of mass to charge ratios each corresponding to a centroid of the peaks of each spectrum.
  • mass to charge ratios the minimum data required to characterize and/or identify the micro-oranisms is stored.
  • the data may be arranged in groups of data corresponding to the genus of each micro-organism, with sub-divisions corresponding to the strain of micro-organism.
  • the software may carry out the steps of acquiring and storing the unidentified micro-organism's spectral data by manual input or, preferably directly from the spectrometer, comparing the unidentified spectral data with the pre-characterised spectral data in the database and indicating where a match is found, or otherwise.
  • the database may include spectral data grouped according to the genus of each micro-organism and the software may be carry out a search strategy which involves comparing spectral data first to identify the genus of the unidentified bacteria and then to identify the strain of bacteria. In this way the search process is optimized to improve efficiency where a large range of spectral data is stored in the database.
  • the software may be capable of allowing for calibration errors in the unidentified spectral data, so that the trends (e.g. the difference in m/z value between adjacent peaks in the data) may be screened with the corresponding data in the database rather than the absolute values.
  • the computer may be incorporated into the MALDI-TOF-MS Spectrometer so that data is transferred directly from the detector to the computer for analysis.
  • the computer may be spaced apart from the spectrometer and linked by remote means.
  • the present invention also includes a database of microorganisms comprising spectral data of each micro-organism obtained by MALDI-TOF-MS analysis for use in the method, or in conjunction with the apparatus, of the invention.
  • Figure 1 is a graphical representation of partial spectra obtained from samples including SA, CF and ECC2.
  • peaks A-K represent ⁇ number of possible isobaric species of mycoserates .
  • the relative peak heights are related to the number of isobaric species present at each molecular weight.
  • the peak letter, molecular weight, and one of the possible isobaric structures are listed as follows:
  • the ten micro-organisms were each sub-cultured in duplicate onto separate nutrient agar plates. Each pair was incubated at 37 ⁇ C, for three and six days respectively .
  • a single, visible colony of cells was regarded as sufficient material for analysis and was removed from the agar plate with a sterile loop. All samples were analyzed in a matrix of ⁇ -cyano-4-hydroxycinnamic acid ( ⁇ -CHCA). The organisms were emulsified in 50-100 ul of the matrix, dissolved in a mixture of water, ethanol and acetonitrile (in the ratio 1:1:1).
  • a 1 ul aliquot was then applied to the sample target for the laser and allowed to dry before analysis.
  • the samples were then analyzed by MALDI on a KRATOS" Kompact MALDI III time of flight mass spectrometer.
  • a nitrogen laser giving a 337 nm output of 3 ns pulse width was use to ionize the species.
  • the laser fluence was set just above the threshold for ion production.
  • the mass spectrometer was used in the positive ion detection mode using an acceleration voltage of +20 KV. Samples were analyzed by using both the linear and reflectron analyzers.
  • the detector used consisted of a discrete dynode combine with an electron multiplier.
  • FIG. 1 shows the spectra of SA, CF and ECC2. There is a clear difference in the distribution of the peaks corresponding to ionic species from each microorganism.
  • the spectra produced constitute a unique " ingerprint" which allows identification of icro- organisms ihter-species and inter-strain.
  • the similarities in the features of each spectra allow the spectra to be grouped according to genus of micro- organis ,
  • Figure 2 shows the positive ion spectrum of Mycobacterium smegmatis which shows an interesting pattern of peaks between 1150-1300 Da. Previous analyses of cell wall extracts from this organism suggest that these peaks are either mycolic acids or related lipids within the cell wall. The data probably relates to dimycocerosates of the phthiocerol family. These are non-covalently bound and are probably extracted into the matrix during the admixture process. The proposed structure of the mycoserates are shown in the legend of figure 2.
  • Table 1 lists subsets of m/z values for all the micro- organisms examined.
  • the m/z ratios of the spectral peaks of the four cultures of E.COLI bacteria are shown in the first column of table 1 for the m/z range 1058-1852 Da.
  • the figure in bold type are peaks present in all the tested strains of the genus E.COLI (1102, 1231, 1316, 1360, 1489 and 1618).
  • the strain may be identified by the absence or presence of further peaks.
  • ECN has a peak at 1852 which differentiates from ECC1 and ECC2.
  • ECK also has a peak at 1852, but may be differentiated by the additional peaks at 1058 and 1187.
  • CF and KA Different species which are closely related to E.COLI are CF and KA. These have peaks 1102, 1231, 1360, 1489, 1618 in common with E.Coli, but may be differentiated therefrom by the absence of the peak at 1316 which is characteristic of E.Coli. CF and KA may be distinguished by the absence or presence of the peaks at 750, 751, 1314, 1445, 1480, 1575, 1582 and 1876.
  • the spectra produced provide a "fingerprint" for each micro-organism.
  • the fingerprint is sensitive to both inter-genus differences, and inter- strain differences.
  • a database of these fingerprints provides a method of rapidly screening samples to identify the strain of micro-organism present. This has particular application in the field of medical microbiology, -but will find application in many other fields where the precise and rapid identification of micro-organisms is required.
  • a database of MALDI-TOF-MS spectral data was prepared in respect of the following organisms :-
  • Da t a aOOOl.l 17 Jul 97 17:18 Cal: test 25 Ap r 97 li - ⁇ Kr Ma.to» «s Kompa»c_t_.MA complicat_LDI 2: V v 5 o* 2 **•• 1 • + ri - u v .

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  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Molecular Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Immunology (AREA)
  • Physics & Mathematics (AREA)
  • Organic Chemistry (AREA)
  • Biomedical Technology (AREA)
  • Biotechnology (AREA)
  • Biochemistry (AREA)
  • Microbiology (AREA)
  • Zoology (AREA)
  • Hematology (AREA)
  • Urology & Nephrology (AREA)
  • General Health & Medical Sciences (AREA)
  • Wood Science & Technology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Medicinal Chemistry (AREA)
  • Analytical Chemistry (AREA)
  • Genetics & Genomics (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Cell Biology (AREA)
  • Food Science & Technology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Biophysics (AREA)
  • Virology (AREA)
  • Pathology (AREA)
  • General Physics & Mathematics (AREA)
  • Tropical Medicine & Parasitology (AREA)
  • General Engineering & Computer Science (AREA)
  • Optics & Photonics (AREA)
  • Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Apparatus Associated With Microorganisms And Enzymes (AREA)
  • Micro-Organisms Or Cultivation Processes Thereof (AREA)
  • Lock And Its Accessories (AREA)
EP97937712A 1996-08-27 1997-08-26 Verfahren zur bestimmung von mikro-organismen Withdrawn EP0922295A1 (de)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
GB9617852 1996-08-27
GBGB9617852.0A GB9617852D0 (en) 1996-08-27 1996-08-27 Micro-organism identification
PCT/GB1997/002278 WO1998009314A1 (en) 1996-08-27 1997-08-26 Microorganism identification

Publications (1)

Publication Number Publication Date
EP0922295A1 true EP0922295A1 (de) 1999-06-16

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EP97937712A Withdrawn EP0922295A1 (de) 1996-08-27 1997-08-26 Verfahren zur bestimmung von mikro-organismen

Country Status (10)

Country Link
EP (1) EP0922295A1 (de)
JP (1) JP2001502164A (de)
KR (1) KR20000035935A (de)
CN (1) CN1234906A (de)
AU (1) AU4024597A (de)
BR (1) BR9711448A (de)
CA (1) CA2264535A1 (de)
GB (1) GB9617852D0 (de)
TR (1) TR199900780T2 (de)
WO (1) WO1998009314A1 (de)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2419737A (en) * 2004-10-20 2006-05-03 Bruker Daltonik Gmbh Mass scale alignment of time-of-flight mass spectra

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GB2335491A (en) * 1998-07-07 1999-09-22 Aromascan Plc Detecting microorganisms
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CA2298181C (en) 2000-02-02 2006-09-19 Dayan Burke Goodnough Non-targeted complex sample analysis
WO2001094910A2 (de) * 2000-06-07 2001-12-13 Basf Aktiengesellschaft Verfahren zur qualitativen und quantitativen analyse komplexer gemische chemischer verbindungen mit maldi-tof-massenspektrometrie
JP2006504071A (ja) 2002-03-22 2006-02-02 フェノメノーム ディスカバリーズ インク フーリエ変換イオンサイクロトロン共鳴質量分析装置を用いて作製された非標的メタボロニクスデータを視覚化する方法
JP2005522713A (ja) * 2002-04-15 2005-07-28 サーモ フィニガン エルエルシー 生物学的分子の定量
DE10300743A1 (de) 2003-01-07 2004-07-29 AnagnosTec, Gesellschaft für Analytische Biochemie und Diagnostik mbH Verfahren zur Identifizierung von Mikroorganismen mittels Massenspektrometrie
SG165370A1 (en) 2005-09-12 2010-10-28 Phenomenome Discoveries Inc Method for the diagnosis of colorectal cancer and ovarian cancer by the measurement of vitamin e-related metabolites
JP4818981B2 (ja) * 2006-04-28 2011-11-16 独立行政法人産業技術総合研究所 細胞の迅速識別方法及び識別装置
EP1942194A1 (de) 2007-01-08 2008-07-09 Université René Descartes Verfahren zur Identifizierung eines aus einer klinischen Probe isolierten Keims
EP2060919A1 (de) * 2007-11-13 2009-05-20 Nederlandse Organisatie voor toegepast- natuurwetenschappelijk onderzoek TNO MALDI Matrix und MALDI Verfahren
EP2157599A1 (de) * 2008-08-21 2010-02-24 Nederlandse Organisatie voor toegepast- natuurwetenschappelijk onderzoek TNO Verfahren und Vorrichtung zur Identifikation biologischer Materialien
DE102009007266B4 (de) * 2009-02-03 2012-04-19 Bruker Daltonik Gmbh Massenspektrometrische Identifizierung von Mikroorganismen in komplexen Proben
BRPI1012878A2 (pt) * 2009-05-15 2016-04-05 Bio Merieux Inc sistema e métodos para a rápida identificação e/ou caracterização de um agente microbiano em uma amostra
FR2953530A1 (fr) 2009-12-03 2011-06-10 Assist Publ Hopitaux Marseille Procede d'identification rapide des virus par spectrometrie de masse
JP2011147403A (ja) * 2010-01-22 2011-08-04 Hitachi High-Technologies Corp 細菌検査装置及び細菌検査方法
DE102010033105B4 (de) * 2010-08-02 2016-05-04 Bruker Daltonik Gmbh Massenspektrometrische Sepsisdiagnose ohne Blutkultur
JP5313218B2 (ja) * 2010-09-30 2013-10-09 株式会社日立ハイテクノロジーズ 細菌検査システム
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JP5750676B2 (ja) 2011-10-18 2015-07-22 株式会社島津製作所 細胞識別装置及びプログラム
US9074236B2 (en) * 2012-05-01 2015-07-07 Oxoid Limited Apparatus and methods for microbial identification by mass spectrometry
CN103308696B (zh) * 2013-05-30 2015-06-24 中国疾病预防控制中心传染病预防控制所 基于质谱技术的布鲁氏菌快速检测试剂盒
DE102013022016B4 (de) 2013-12-20 2015-07-09 Bruker Daltonik Gmbh Mikroben-Identifizierung durch Massenspektrometrie und Infrarot-Spektrometrie
KR20170040078A (ko) 2015-10-02 2017-04-12 숭실대학교산학협력단 식중독균 고속 검출방법
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CN111220686A (zh) * 2018-11-23 2020-06-02 中国科学院大连化学物理研究所 一种基于病毒鉴定的质谱数据库建立方法
KR102028564B1 (ko) * 2018-12-10 2019-10-04 한림대학교 산학협력단 말디-토프 질량분석기를 이용한 메티실린-내성 황색포도구균 균류의 동정방법
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CN113219115A (zh) * 2021-05-18 2021-08-06 广东省科学院微生物研究所(广东省微生物分析检测中心) 一种基于maldi-tof ms的蜡样芽胞杆菌和苏云金芽胞杆菌快速鉴定方法

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GB2419737A (en) * 2004-10-20 2006-05-03 Bruker Daltonik Gmbh Mass scale alignment of time-of-flight mass spectra
GB2419737B (en) * 2004-10-20 2009-02-25 Bruker Daltonik Gmbh Mass scale alignment of time-of-flight mass spectra

Also Published As

Publication number Publication date
KR20000035935A (ko) 2000-06-26
CA2264535A1 (en) 1998-03-05
WO1998009314A1 (en) 1998-03-05
BR9711448A (pt) 2000-01-18
GB9617852D0 (en) 1996-10-09
CN1234906A (zh) 1999-11-10
AU4024597A (en) 1998-03-19
TR199900780T2 (xx) 1999-07-21
JP2001502164A (ja) 2001-02-20

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