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首页> 外文期刊>The Analyst: The Analytical Journal of the Royal Society of Chemistry: A Monthly International Publication Dealing with All Branches of Analytical Chemistry >Constituents with independence from growth temperature for bacteria using pyrolysis-gas chromatography/differential mobility spectrometry with analysis of variance and principal component analysis
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Constituents with independence from growth temperature for bacteria using pyrolysis-gas chromatography/differential mobility spectrometry with analysis of variance and principal component analysis

机译:热解-气相色谱/差示迁移谱法分析细菌与生长温度无关的成分,并进行方差分析和主成分分析

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摘要

Four bacteria, Escherichia coli, Pseudomonas aeruginosa, Staphylococcus warneri, and Micrococcus luteus, were grown at temperatures of 23, 30, and 37 degrees C and were characterized by pyrolysis-gas chromatography/differential mobility spectrometry (Py-GC/DMS) providing, with replicates, 120 data sets of retention time, compensation voltage, and ion intensity, each for negative and positive polarity. Principal component analysis (PCA) for 96 of these data sets exhibited clusters by temperature of culture growth and not by genus. Analysis of variance was used to isolate the constituents with dependences on growth temperature. When these were subtracted from the data sets, Fisher ratios with PCA resulted in four clusters according to genus at all temperatures for ions in each polarity. Comparable results were obtained from unsupervised PCA with 24 of the original data sets. The ions with taxonomic features were reconstructed into 3D plots of retention time, compensation voltage, and Fisher ratio and were matched, through GC-mass spectrometry (MS), with chemical standards attributed to the thermal decomposition of proteins and lipid A. Results for negative ions provided simpler data sets than from positive ions, as anticipated from selectivity of gas phase ion-molecule reactions in air at ambient pressure.
机译:四种细菌,分别是大肠杆菌,铜绿假单胞菌,华氏葡萄球菌和黄褐微球菌,分别在23、30和37摄氏度的温度下生长,并通过热解-气相色谱/差动迁移谱(Py-GC / DMS)进行表征,包含重复数据,保留时间,补偿电压和离子强度的120组数据,分别用于负极性和正极性。这些数据集中的96个数据的主成分分析(PCA)按培养生长温度而不是属显示聚类。方差分析被用来分离依赖于生长温度的成分。从数据集中减去这些值后,PCA的Fisher比率会根据所有极性下各个温度下的属而产生四个簇。从无监督的PCA与24个原始数据集获得了可比的结果。具有分类学特征的离子被重建为保留时间,补偿电压和费舍尔比的3D图,并通过GC-质谱(MS)与归因于蛋白质和脂质A的热分解的化学标准品相匹配。离子提供的数据集比正离子提供的数据集更简单,这是由环境压力下空气中气相离子分子反应的选择性所预期的。

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