Multiarray sensors with pattern recognition for the detection, classification, and differentiation of bacteria at subspecies and strain levels
Multiarray sensors with pattern recognition for the detection, classification, and differentiation of bacteria at subspecies and strain levels
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DOI：
10.1021/ac0512150
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发表时间：
2005-12-15
影响因子：
7.4
通讯作者：
Vora, MN
中科院分区：
文献类型：
--
作者：
Karasinski, J;Andreescu, S;Vora, MN
IBIS的工作描述了一种完全自主的电化学生物传感器与模式识别技术的集成，用于在亚种和菌株水平上对细菌进行检测和分类。该系统提供对接触抗生素时细菌活动的连续、实时监测。该系统利用96孔型电极阵列(DOX-溶解氧传感器)和主成分分析(PCA)对不同类别的细菌和相关菌株进行快速和常规的分类。利用DOX-PCA系统对细菌界的一部分有代表性的样本进行了分析和分类，其中包括：谷氨酸棒杆菌、黄色微囊藻属、表皮葡萄球菌、鲁克耶氏菌、阿德伯氏菌、嗜酸单胞菌、气味产碱杆菌、球形芽孢杆菌和三株大肠杆菌(K12、SM10、ATCC 25922)。新的分类方案基于这样的假设，即在相同的实验条件下，不同的细菌以不同的速率消耗氧气，并以不同的方式受到选定的抗生素的影响。因此，与在培养基上生长的细胞相比，通过添加抗生素，阵列中单个电极的响应被间接改变。通过在不同的井中使用三种不同的抗生素，可以为特定的细菌创建独特的指纹。利用所提出的DOX-PCA系统，实时实现了细菌亚种和菌株水平的分类。这项研究是一个基本的研究工具，可以让研究人员在亚种和菌株水平上快速检测、量化和分类细菌类型。
Ibis work describes the integration of a fully autonomous electrochemical biosensor with pattern recognition techniques for the detection and classification of bacteria at subspecies and strain level. The system provides a continuous, real-time monitoring of bacteria activity upon exposure to antibiotics. The system utilizes 96-well-type electrodes array (DOX-dissolved oxygen sensor) with principal component analysis (PCA) for rapid and routine classification of different classes of bacteria and related strains. A representative sample of a section of the bacteria kingdom has been analyzed and classified using the proposed DOX-PCA system, including the following: Corynebacterium glutamicum, Microcuccus luteus, Staphylococcus epidermidis, Yersinia ruckeri, Escherichia adecarboxylata, Comamonas acidovorans, Alcaligenes odorans, Bacillus globigii, and three strains of Escherichia coli (K12, SM10, ATCC 25922). The new classification scheme is based on the hypothesis that, under identical experimental conditions, various bacteria consume oxygen at different rates and are affected in different ways by selected antibiotics. Thus, the response of the individual electrode in the array is indirectly altered, compared to that of cells growing on medium, by the addition of the antibiotic. By using three different antibiotics in separate wells, a unique fingerprint can be created for a specific bacterium. With the proposed DOX-PCA system, classification of bacteria was achieved at subspecies and strain level in real time. This study represents a basic research tool that may allow researchers to rapidly detect, quantify, and classify bacteria type at subspecies and strain levels.