EP0922295A1 - Verfahren zur bestimmung von mikro-organismen - Google Patents
Verfahren zur bestimmung von mikro-organismenInfo
- 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- Withdrawn
Links
- 244000005700 microbiome Species 0.000 title claims abstract description 48
- 230000003595 spectral effect Effects 0.000 claims abstract description 44
- 238000000034 method Methods 0.000 claims abstract description 38
- 238000001840 matrix-assisted laser desorption--ionisation time-of-flight mass spectrometry Methods 0.000 claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 15
- 238000000816 matrix-assisted laser desorption--ionisation Methods 0.000 claims description 204
- TWFZGCMQGLPBSX-UHFFFAOYSA-N carbendazim Chemical compound C1=CC=C2NC(NC(=O)OC)=NC2=C1 TWFZGCMQGLPBSX-UHFFFAOYSA-N 0.000 claims description 22
- 241000894007 species Species 0.000 claims description 19
- 241000588724 Escherichia coli Species 0.000 claims description 14
- 239000006916 nutrient agar Substances 0.000 claims description 11
- 150000002500 ions Chemical class 0.000 claims description 9
- 241000588915 Klebsiella aerogenes Species 0.000 claims description 8
- 239000011159 matrix material Substances 0.000 claims description 8
- 241000588919 Citrobacter freundii Species 0.000 claims description 7
- 241000193163 Clostridioides difficile Species 0.000 claims description 4
- 239000000203 mixture Substances 0.000 claims description 4
- 238000012216 screening Methods 0.000 claims description 4
- RJQXTJLFIWVMTO-TYNCELHUSA-N Methicillin Chemical compound COC1=CC=CC(OC)=C1C(=O)N[C@@H]1C(=O)N2[C@@H](C(O)=O)C(C)(C)S[C@@H]21 RJQXTJLFIWVMTO-TYNCELHUSA-N 0.000 claims description 3
- 229960003085 meticillin Drugs 0.000 claims description 3
- 241000193468 Clostridium perfringens Species 0.000 claims description 2
- 241000193449 Clostridium tetani Species 0.000 claims description 2
- 241000187493 Mycobacterium malmoense Species 0.000 claims description 2
- 241000187494 Mycobacterium xenopi Species 0.000 claims description 2
- 230000001413 cellular effect Effects 0.000 claims description 2
- 230000035945 sensitivity Effects 0.000 claims description 2
- 230000005855 radiation Effects 0.000 claims 1
- 210000004027 cell Anatomy 0.000 description 55
- 238000001228 spectrum Methods 0.000 description 18
- 241000894006 Bacteria Species 0.000 description 7
- 239000002609 medium Substances 0.000 description 5
- 238000003860 storage Methods 0.000 description 5
- 230000004069 differentiation Effects 0.000 description 4
- WEVYAHXRMPXWCK-UHFFFAOYSA-N Acetonitrile Chemical compound CC#N WEVYAHXRMPXWCK-UHFFFAOYSA-N 0.000 description 3
- 210000002421 cell wall Anatomy 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 208000015181 infectious disease Diseases 0.000 description 3
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 2
- XSQUKJJJFZCRTK-UHFFFAOYSA-N Urea Chemical compound NC(N)=O XSQUKJJJFZCRTK-UHFFFAOYSA-N 0.000 description 2
- 239000002253 acid Substances 0.000 description 2
- 150000007513 acids Chemical class 0.000 description 2
- 239000004202 carbamide Substances 0.000 description 2
- 230000001419 dependent effect Effects 0.000 description 2
- 238000001212 derivatisation Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 150000002632 lipids Chemical class 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000004949 mass spectrometry Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 235000003625 Acrocomia mexicana Nutrition 0.000 description 1
- 244000202285 Acrocomia mexicana Species 0.000 description 1
- 229920001817 Agar Polymers 0.000 description 1
- 206010011409 Cross infection Diseases 0.000 description 1
- QIVBCDIJIAJPQS-VIFPVBQESA-N L-tryptophane Chemical compound C1=CC=C2C(C[C@H](N)C(O)=O)=CNC2=C1 QIVBCDIJIAJPQS-VIFPVBQESA-N 0.000 description 1
- 241000187480 Mycobacterium smegmatis Species 0.000 description 1
- 241000187479 Mycobacterium tuberculosis Species 0.000 description 1
- 206010029803 Nosocomial infection Diseases 0.000 description 1
- 206010034133 Pathogen resistance Diseases 0.000 description 1
- 241000283984 Rodentia Species 0.000 description 1
- 241000191967 Staphylococcus aureus Species 0.000 description 1
- 208000003217 Tetany Diseases 0.000 description 1
- 241000700605 Viruses Species 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 239000008272 agar Substances 0.000 description 1
- AFVLVVWMAFSXCK-VMPITWQZSA-N alpha-cyano-4-hydroxycinnamic acid Chemical compound OC(=O)C(\C#N)=C\C1=CC=C(O)C=C1 AFVLVVWMAFSXCK-VMPITWQZSA-N 0.000 description 1
- 230000003115 biocidal effect Effects 0.000 description 1
- 229920001222 biopolymer Polymers 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 150000001793 charged compounds Chemical class 0.000 description 1
- 238000004587 chromatography analysis Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000010265 fast atom bombardment Methods 0.000 description 1
- 238000004992 fast atom bombardment mass spectroscopy Methods 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 238000004817 gas chromatography Methods 0.000 description 1
- 238000002290 gas chromatography-mass spectrometry Methods 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 239000001963 growth medium Substances 0.000 description 1
- 238000001698 laser desorption ionisation Methods 0.000 description 1
- 238000001819 mass spectrum Methods 0.000 description 1
- 238000001254 matrix assisted laser desorption--ionisation time-of-flight mass spectrum Methods 0.000 description 1
- 238000001906 matrix-assisted laser desorption--ionisation mass spectrometry Methods 0.000 description 1
- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001717 pathogenic effect Effects 0.000 description 1
- HLQGVSDAPGNBGG-ITGKQZKFSA-N phthiocerol A Chemical compound CCCCCCCCCCCCCCCCCC[C@H](O)C[C@H](O)CCCC[C@@H](C)[C@H](CC)OC HLQGVSDAPGNBGG-ITGKQZKFSA-N 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000000197 pyrolysis Methods 0.000 description 1
- 238000000009 pyrolysis mass spectrometry Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000012916 structural analysis Methods 0.000 description 1
- 238000001269 time-of-flight mass spectrometry Methods 0.000 description 1
- 239000003053 toxin Substances 0.000 description 1
- 231100000765 toxin Toxicity 0.000 description 1
- 201000008827 tuberculosis Diseases 0.000 description 1
- 241001624918 unidentified bacterium Species 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
- AFVLVVWMAFSXCK-UHFFFAOYSA-N α-cyano-4-hydroxycinnamic acid Chemical compound OC(=O)C(C#N)=CC1=CC=C(O)C=C1 AFVLVVWMAFSXCK-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12N—MICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
- C12N1/00—Microorganisms, 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
- G01N33/569—Immunoassay; Biospecific binding assay; Materials therefor for microorganisms, e.g. protozoa, bacteria, viruses
- G01N33/56911—Bacteria
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING 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
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
- G01N33/6803—General methods of protein analysis not limited to specific proteins or families of proteins
- G01N33/6848—Methods of protein analysis involving mass spectrometry
- G01N33/6851—Methods of protein analysis involving laser desorption ionisation mass spectrometry
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
- H01J49/00—Particle 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)
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 |
Family
ID=10798972
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| 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)
| 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 |
Families Citing this family (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2335491A (en) * | 1998-07-07 | 1999-09-22 | Aromascan Plc | Detecting microorganisms |
| US7020559B1 (en) | 1998-11-17 | 2006-03-28 | University Of Maryland | Methods for identifying and classifying organisms by mass spectrometry and database searching |
| 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 |
| GB2495899B (en) * | 2011-07-04 | 2018-05-16 | Thermo Fisher Scient Bremen Gmbh | Identification of samples using a multi pass or multi reflection time of flight mass spectrometer |
| 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 |
| US20170108509A1 (en) * | 2015-10-19 | 2017-04-20 | Virgin Instruments Corporation | Method For Using Protein Databases To Identify Microorganisms |
| 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 |
| CN114184668B (zh) * | 2020-09-15 | 2024-03-26 | 广州禾信康源医疗科技有限公司 | 微生物鉴定方法和双极性标准谱图生成方法 |
| 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 |
-
1996
- 1996-08-27 GB GBGB9617852.0A patent/GB9617852D0/en active Pending
-
1997
- 1997-08-26 CA CA002264535A patent/CA2264535A1/en not_active Abandoned
- 1997-08-26 TR TR1999/00780T patent/TR199900780T2/xx unknown
- 1997-08-26 EP EP97937712A patent/EP0922295A1/de not_active Withdrawn
- 1997-08-26 AU AU40245/97A patent/AU4024597A/en not_active Abandoned
- 1997-08-26 BR BR9711448-0A patent/BR9711448A/pt not_active Application Discontinuation
- 1997-08-26 WO PCT/GB1997/002278 patent/WO1998009314A1/en not_active Ceased
- 1997-08-26 CN CN97199172A patent/CN1234906A/zh active Pending
- 1997-08-26 KR KR1019997001675A patent/KR20000035935A/ko not_active Withdrawn
- 1997-08-26 JP JP10511367A patent/JP2001502164A/ja active Pending
Non-Patent Citations (3)
| Title |
|---|
| "Rapid identification of intact whole bacteria based on spectral patterns using MALDI-TOF-MS". R. D. Holland et al, Rapid Communications in Mass Sprectrometry, vol. 10, no. 10, (1996). * |
| HOLLAND R.D. ET AL: "Rapid Identification of Intact Whole Bacteria based on Spectral Patterns using Matrix-asisted Laser Desorption/Ionization with Time-of-flight Mass Spectrometry", RAPID COMMUNICATIONS IN MASS SPECTROMETRY, vol. 10, no. 10, 5 August 1996 (1996-08-05), pages 1227 - 1232, XP000847569 |
| See also references of WO9809314A1 |
Cited By (2)
| 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 |
| 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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