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用于细菌计数和区分的发光标记阵列。

Luminometric Label Array for Counting and Differentiation of Bacteria.

机构信息

Department of Cell Biology and Anatomy, Institute of Biomedicine, University of Turku , Kiinamyllynkatu 10, FI-20520 Turku, Finland.

Applied Microbiology, Department of Chemistry, Lund University , P.O. Box 124, SE-22100 Lund, Sweden.

出版信息

Anal Chem. 2017 Mar 7;89(5):3208-3216. doi: 10.1021/acs.analchem.6b05142. Epub 2017 Feb 20.

Abstract

Methods for simple and fast detection and differentiation of bacterial species are required, for instance, in medicine, water quality monitoring, and the food industry. Here, we have developed a novel label array method for the counting and differentiation of bacterial species. This method is based on the nonspecific interactions of multiple unstable lanthanide chelates and selected chemicals within the sample leading to a luminescence signal profile that is unique to the bacterial species. It is simple, cost-effective, and/or user-friendly compared to many existing methods, such as plate counts on selective media, automatic (hemocytometer-based) cell counters, flow cytometry, and polymerase chain reaction (PCR)-based methods for identification. The performance of the method was demonstrated with nine single strains of bacteria in pure culture. The limit of detection for counting was below 1000 bacteria per mL, with an average coefficient of variation of 10% achieved with the developed label array. A predictive model was trained with the measured luminescence signals and its ability to differentiate all tested bacterial species from each other, including members of the same genus Bacillus licheniformis and Bacillus subtilis, was confirmed via leave-one-out cross-validation. The suitability of the method for analysis of mixtures of bacterial species was shown with ternary mixtures of Bacillus licheniformis, Escherichia coli JM109, and Lactobacillus reuteri ATCC PTA 4659. The potential future application of the method could be monitoring for contamination in pure cultures; analysis of mixed bacterial cultures, where examining one species in the presence of another could inform industrial microbial processes; and the analysis of bacterial biofilms, where nonspecific methods based on physical and chemical characteristics are required instead of methods specific to individual bacterial species.

摘要

需要简单快速的检测和区分细菌种类的方法,例如在医学、水质监测和食品工业中。在这里,我们开发了一种新颖的标签阵列方法,用于计数和区分细菌种类。该方法基于多个不稳定的镧系螯合物与样品中选定的化学物质之间的非特异性相互作用,导致独特的细菌种类的发光信号谱。与许多现有的方法相比,如选择性培养基上的平板计数、自动(基于血球计数器的)细胞计数器、流式细胞术和基于聚合酶链反应(PCR)的鉴定方法,该方法简单、具有成本效益和/或用户友好。该方法的性能用纯培养的九种单菌株细菌进行了验证。计数的检测限低于每毫升 1000 个细菌,用开发的标签阵列获得了 10%的平均变异系数。用测量的发光信号训练了一个预测模型,并用其证明了能够区分所有测试的细菌种类,包括芽孢杆菌属的同一种 Bacillus licheniformis 和 Bacillus subtilis,通过留一法交叉验证得到了确认。该方法适用于分析细菌种类的混合物,通过 Bacillus licheniformis、Escherichia coli JM109 和 Lactobacillus reuteri ATCC PTA 4659 的三元混合物进行了证明。该方法的未来潜在应用可能是纯培养物污染监测;混合细菌培养物的分析,其中在存在另一种细菌的情况下检查一种细菌可以为工业微生物过程提供信息;以及细菌生物膜的分析,需要基于物理和化学特性的非特异性方法,而不是针对个别细菌种类的方法。

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