AU2001293865A1 - Method for characterizing, identifying and designating microbial mixtures by comparing ir, ft-ir, raman, ft-raman and gc analysis data with data from a reference database - Google Patents

Method for characterizing, identifying and designating microbial mixtures by comparing ir, ft-ir, raman, ft-raman and gc analysis data with data from a reference database

Info

Publication number
AU2001293865A1
AU2001293865A1 AU2001293865A AU9386501A AU2001293865A1 AU 2001293865 A1 AU2001293865 A1 AU 2001293865A1 AU 2001293865 A AU2001293865 A AU 2001293865A AU 9386501 A AU9386501 A AU 9386501A AU 2001293865 A1 AU2001293865 A1 AU 2001293865A1
Authority
AU
Australia
Prior art keywords
raman
data
designating
characterizing
identifying
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.)
Abandoned
Application number
AU2001293865A
Other languages
English (en)
Inventor
Robrecht Froyman
Rudolf Hafenrichter
Prof. Dr. Harald Labischinski
Guido Schiffer
Jurgen Schmitt
Thomas Udelhoven
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.)
Bayer AG
Synthon KG
Original Assignee
Bayer AG
Synthon KG
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 Bayer AG, Synthon KG filed Critical Bayer AG
Publication of AU2001293865A1 publication Critical patent/AU2001293865A1/en
Abandoned legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N2021/3196—Correlating located peaks in spectrum with reference data, e.g. fingerprint data
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N2030/022—Column chromatography characterised by the kind of separation mechanism
    • G01N2030/025—Gas chromatography
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/62—Detectors specially adapted therefor
    • G01N2030/626—Detectors specially adapted therefor calibration, baseline
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/86—Signal analysis
    • G01N30/8603—Signal analysis with integration or differentiation
    • G01N2030/862—Other mathematical operations for data preprocessing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/88—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86
    • G01N2030/8809—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86 analysis specially adapted for the sample
    • G01N2030/8813—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86 analysis specially adapted for the sample biological materials
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/12—Circuits of general importance; Signal processing
    • G01N2201/129—Using chemometrical methods
    • G01N2201/1296—Using chemometrical methods using neural networks
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/86—Signal analysis
    • G01N30/8603—Signal analysis with integration or differentiation
    • G01N30/861—Differentiation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/86—Signal analysis
    • G01N30/8624—Detection of slopes or peaks; baseline correction
    • G01N30/8631—Peaks
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/86—Signal analysis
    • G01N30/8675—Evaluation, i.e. decoding of the signal into analytical information
    • G01N30/8682—Group type analysis, e.g. of components having structural properties in common
    • 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
    • G01N33/0004—Gaseous mixtures, e.g. polluted air
    • G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0031—General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array
    • G01N33/0034—General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array comprising neural networks or related mathematical techniques

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
AU2001293865A 2000-10-18 2001-10-05 Method for characterizing, identifying and designating microbial mixtures by comparing ir, ft-ir, raman, ft-raman and gc analysis data with data from a reference database Abandoned AU2001293865A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE10051806 2000-10-18
DE10051806A DE10051806A1 (de) 2000-10-18 2000-10-18 Verfahren zur Charakterisierung, Identifizierung und Kennzeichnung von mikrobiellen Mischungen
PCT/EP2001/011517 WO2002033400A1 (de) 2000-10-18 2001-10-05 Verfahren zur charakterisierung, identifizierung und kennzeichnung von mikrobiellen mischungen durch vergleich von ir-, ft-ir-, raman-, ft-raman- und gc-analysedaten mit daten aus einer referenzdatenbank

Publications (1)

Publication Number Publication Date
AU2001293865A1 true AU2001293865A1 (en) 2002-04-29

Family

ID=7660312

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2001293865A Abandoned AU2001293865A1 (en) 2000-10-18 2001-10-05 Method for characterizing, identifying and designating microbial mixtures by comparing ir, ft-ir, raman, ft-raman and gc analysis data with data from a reference database

Country Status (3)

Country Link
AU (1) AU2001293865A1 (de)
DE (1) DE10051806A1 (de)
WO (1) WO2002033400A1 (de)

Families Citing this family (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10233022B4 (de) * 2002-07-20 2004-09-16 Zinn, Peter, Dr. Verfahren zur Lösung von Aufgaben der adaptiven Chemie
DE10326966B4 (de) * 2003-06-12 2011-02-17 Tetec Tissue Engineering Technologies Ag Verfahren und Vorrichtung zur Bestimmung von ausdifferenzierten Säugerzellen
US8195402B2 (en) 2004-07-09 2012-06-05 Tetec Tissue Engineering Technologies Ag Method and an apparatus for determining well or fully differentiated mammal cells
WO2008122975A2 (en) * 2007-04-04 2008-10-16 Opticul Diagnostics Ltd. Means and methods for detecting bacteria in a sample
EP2221617A1 (de) * 2009-02-20 2010-08-25 Nederlandse Organisatie voor toegepast -natuurwetenschappelijk onderzoek TNO Verfahren, System und Computerprogramm zur Datenverarbeitung für eine automatische Extraktion jeweiliger Peaks in einem chromatographischen Spektrum
US8552383B2 (en) 2009-09-15 2013-10-08 Tetec Tissue Engineering Technologies Ag Methods and systems for in-vitro analysis of biological cells and/or microorganisms
US9522396B2 (en) 2010-12-29 2016-12-20 S.D. Sight Diagnostics Ltd. Apparatus and method for automatic detection of pathogens
WO2013098821A1 (en) 2011-12-29 2013-07-04 Parasight Ltd. Methods and systems for detecting a pathogen in a biological sample
EP2999988A4 (de) 2013-05-23 2017-01-11 S.D. Sight Diagnostics Ltd. Verfahren und system zur bildgebung einer zellprobe
IL227276A0 (en) 2013-07-01 2014-03-06 Parasight Ltd A method and system for obtaining a monolayer of cells, for use specifically for diagnosis
WO2015029032A1 (en) 2013-08-26 2015-03-05 Parasight Ltd. Digital microscopy systems, methods and computer program products
DE102013022016B4 (de) * 2013-12-20 2015-07-09 Bruker Daltonik Gmbh Mikroben-Identifizierung durch Massenspektrometrie und Infrarot-Spektrometrie
WO2016030897A1 (en) 2014-08-27 2016-03-03 S.D. Sight Diagnostics Ltd System and method for calculating focus variation for a digital microscope
JP5969640B2 (ja) * 2015-02-26 2016-08-17 浜松ホトニクス株式会社 細胞判別方法および細胞判別装置
CN105373669A (zh) * 2015-11-28 2016-03-02 泰山医学院 一种黄伞菌发酵条件优化及动力学模型的构建方法
CN108235733B (zh) * 2017-12-29 2022-01-25 深圳达闼科技控股有限公司 基于拉曼光谱的物质识别方法及云端系统
CN108665054A (zh) * 2018-05-23 2018-10-16 中国计量大学 基于遗传算法优化阈值的Mallat算法在心音信号降噪的应用

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0644412A3 (de) * 1993-09-17 1995-08-09 Boehringer Mannheim Gmbh Verfahren zur Analyse klinisch relevanter Flüssigkeiten und Suspensionen.

Also Published As

Publication number Publication date
WO2002033400A1 (de) 2002-04-25
DE10051806A1 (de) 2002-04-25

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