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MALDI-TOF MS Based Intact Cell Microorganism Profiling in Tracking the Sources of Product Contamination at the Industrial Settings

机译:MALDI-TOF基于MS的完整细胞微生物分析,在工业环境中跟踪产品污染的来源

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Industrial production is strictly controlled to ensure microbiological safety. This is typically achieved by monitoring the microflora using cell metabolism oriented panels of microbiological tests. However, microorganism adaptation to industrial environments is known to induce phenotypical changes. This makes it difficult to conclude on a contaminant origin using the panels of biochemical/physiologic tests, thus forcing a costly sterilization of all potentially suspected sources. The use of intact protein based MALDI-TOF-MS microbial fingerprinting combined to statistical and spectra library based data mining, addresses this problem from a principally new angle. Industrial bacterial isolates from a facial creme and an enterprise plumbing system were harvested at different growth stages, killed and analyzed with mass spectrometry and bioinformatics tools. Spectra in a mass range of 2-20 KDa were obtained on the AutoFlex III MALDI-TOF mass spectrometer (Bruker Daltonics) in automated linear positive ion mode with HCCA as a matrix. To differentiate between the strains, a data set was subjected to PCA and master spectra based clustering; microorganisms were further identified using MALDI-TOF MS microbial spectra library and MALDI BioTyper software (Bruker Daltonics).
机译:严格控制工业生产,以确保微生物安全性。这通常通过使用细胞代谢导向的微生物测试面板监测微生物来实现。然而,已知对工业环境的微生物适应诱导表型变化。这使得难以使用生物化学/生理测试的面板在污染物源上得出结论,从而迫使所有可能疑似潜在的源的昂贵灭菌。使用完整的蛋白质基于MALDI-TOF-MS微生物指纹识别与基于统计和基于谱库的数据挖掘,从主要的新角度解决了这个问题。在不同的生长阶段收获来自面部奶油和企业管道系统的工业细菌分离物,用质谱和生物信息学工具造成杀害和分析。在AutoFlex III MALDI-TOF质谱仪(BRUKER DALTONICS)中以与HCCA为基质的自动线性阳性离子模式,获得质量范围的3-20kDa的光谱。为了区分菌株,对基于PCA和主谱的聚类进行数据集;使用MALDI-TOF MS微生物谱图集文库和MALDI BIOTYPER软件(BRUKER DALTONICS)进一步鉴定微生物。

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