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    • 7. 发明申请
    • MICROBE IDENTIFICATION BY MASS SPECTROMETRY AND INFRARED SPECTROMETRY
    • MICROBE通过质谱和红外光谱鉴定
    • WO2015090727A1
    • 2015-06-25
    • PCT/EP2014/074118
    • 2014-11-10
    • BRUKER DALTONIK GMBH
    • KOSTRZEWA, Markus
    • C12Q1/04G01N33/68
    • C12Q1/10C12Q1/04G01N33/6848G01N33/6851
    • The invention relates to a method for identifying unknown microbes in a sample, wherein a mass spectrometric determination down to the taxonomic level of the genus or species is supplemented by a detailed determination of a lower taxonomic level or variety by means of infrared spectrometry, using restricted reference libraries of infrared spectra. These libraries can be genus-specific, containing only infrared spectra of microbes of one genus, or species- specific, containing only infrared spectra of microbes of one species. In so doing, a robust mass spectrometric identification of the species of unknown microbes is advantageously supplemented with a detailed analysis of the subspecies and varieties by means of infrared spectrometry, primarily in order to identify medically important varieties such as pathovars like EHEC and EPEC, and antibiotic-resistant microbes like MRSA.
    • 本发明涉及一种用于鉴定样品中未知微生物的方法,其中通过红外光谱法利用限制性的方法通过红细胞光谱法详细测定较低分类水平或品种来补充至属或物种分类级别的质谱测定 红外光谱参考库。 这些文库可以属于属,仅含有一个属的微生物或物种特异性的微生物的红外光谱,其仅包含一种微生物的红外光谱。 在这样做的过程中,通过红外光谱法有利地补充了亚种和品种的详细分析,主要是为了鉴定医学上重要的品种,如EHEC和EPEC等病原体,以及 抗生素抗性微生物如MRSA。
    • 9. 发明申请
    • DETECTION OF MIXTURES IN MASS-SPECTROMETRIC MICROBE IDENTIFICATION
    • 检测质谱微量元素鉴定中的混合物
    • WO2014019943A1
    • 2014-02-06
    • PCT/EP2013/065764
    • 2013-07-25
    • BRUKER DALTONIK GMBH
    • FRANZEN, JochenKLEPEL, StefanKOSTRZEWA, MarkusMAIER, Thomas
    • G01N33/68
    • C12Q1/04G01N33/6848G01N2560/00G06F19/18
    • The invention relates to the identification of microbes in a sample by calculating the similarities between a mass spectrum of the sample and all reference spectra in a spectral library; it particularly concerns the detection of microbe mixtures. Microbe mixtures are probably present if several microbe species which are not closely related to each other are among the score list containing the most similar reference spectra. Methods are proposed which (1) operate with a list of the relationships, (2) determine the similarity between the reference spectra of the different microbe species of the score list, or (3) always carry out a mixture analysis in accordance with document DE 10 2009 007 266 Al from the score list, with the generation of combination spectra, and only afterwards check the similarity of the combined spectra and thus the relationship between the microbe strains concerned.
    • 本发明涉及通过计算样品的质谱和光谱库中所有参考光谱之间的相似性来鉴定样品中的微生物; 它特别涉及微生物混合物的检测。 如果几个彼此不紧密相关的微生物种类在包含最相似的参考光谱的评分列表中,则可能存在微生物混合物。 提出了(1)用关系列表进行操作的方法,(2)确定得分列表的不同微生物种的参考光谱之间的相似性,或(3)总是按照DE文件进行混合分析 10 2009 007 266 A1从分数列表中,与生成组合谱,后来检查组合光谱的相似性,从而检查相关微生物菌株之间的关系。