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首页> 外文期刊>Applied and Environmental Microbiology >Pattern recognition analysis of in vivo enzyme-substrate fluorescence velocities in microorganism detection and identification.
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Pattern recognition analysis of in vivo enzyme-substrate fluorescence velocities in microorganism detection and identification.

机译:在微生物检测和鉴定中体内酶-底物荧光速度的模式识别分析。

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摘要

A spectrometric technique is presented that combines most of the important criteria necessary for efficient detection and identification of microorganisms. These criteria include simplicity of experimental design, various degrees of sensitivity and selectivity, convenience, and total reaction times of less than 15 min. The study takes advantage of the inherent extracellular enzymes present in living as opposed to dead, non-enzyme-producing organisms. Sequentially these are harnessed in in vivo reactions with a substrate containing a select organic functional group that is known to be cleaved or hydrolyzed by a certain enzyme. The substrate is tailored so that one of the products can be induced to fluoresce, and by using a conventional spectrofluorimeter the rate at which the fluorescence appears can be recorded. By subjecting the same bacterial sample to a number of different enzyme substrates, a pattern of fluorescence response rates emerges from a 7 by 7 microorganism-substrate matrix. Detection limits ranged from 3.6 X 10(2) to 3.5 X 10(8) cells per ml for the Bacillus globigii-indoxyl acetate and Escherichia coli-diacetylfluorescein pairs, respectively. The specificity and versatility of the method for bacterial determination is demonstrated in probing different bacterial enzymes through their spectrally active metabolic products.
机译:提出了一种光谱技术,该技术结合了有效检测和鉴定微生物所需的大多数重要标准。这些标准包括实验设计的简便性,不同程度的灵敏度和选择性,便利性以及总反应时间少于15分钟。这项研究利用了生命中固有的细胞外酶,而不是死亡的,不产生酶的生物。顺序地,将它们在体内反应中与含有选择的有机官能团的底物一起使用,该底物已知被某种酶裂解或水解。对基材进行定制,以便可以诱导其中一种产物发出荧光,并且通过使用常规的分光荧光计,可以记录荧光出现的速率。通过将相同的细菌样品置于多种不同的酶底物上,从7 x 7的微生物-底物基质中出现了荧光反应速率的模式。球形双歧芽孢杆菌-吲哚乙酸乙酸酯和大肠杆菌-二乙酰荧光素对的检测限范围为每毫升3.6 X 10(2)至3.5 X 10(8)个细胞。通过细菌的光谱活性代谢产物探测不同的细菌酶,证明了细菌测定方法的特异性和多功能性。

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