Nandakumar Vivek, La Belle Jeffrey T, Reed Justin, Shah Miti, Cochran Douglas, Joshi Lokesh, Alford T L
Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287-5706, USA.
Biosens Bioelectron. 2008 Dec 1;24(4):1045-8. doi: 10.1016/j.bios.2008.06.036. Epub 2008 Jul 3.
A pathogen detection methodology based on Bayesian decision theory has been developed for rapid and reliable detection of Salmonella typhimurium. The methodology exploits principles from statistical signal processing along with impedance spectroscopy in order to analytically determine the existence of pathogens in the target solution. The proposed technique is validated using a cost-effective and portable immunosensor. This device uses label-free, electrochemical impedance spectroscopy for pathogen detection and has been demonstrated to reliably detect pre-infectious levels of pathogen in sample solutions. The detection process does not entail any pathogen enrichment procedures. The results using the proposed technique indicate a detection time of approximately 6min (5min for data acquisition, 1min for analysis) for pathogen concentrations in the order of 500CFU/ml. The detection methodology presented here has demonstrated high accuracy and can be generalized for the detection of other pathogens with healthcare, food, and environmental implications. Furthermore, the technique has a low computational complexity and uses a minimal data-set (only 30 data-samples) for data analysis. Hence, it is ideal for use in hand-held pathogen detectors.
一种基于贝叶斯决策理论的病原体检测方法已被开发出来，用于快速、可靠地检测鼠伤寒沙门氏菌。该方法利用统计信号处理原理以及阻抗谱技术，以便分析确定目标溶液中病原体的存在情况。所提出的技术通过一种经济高效且便携的免疫传感器进行了验证。该设备使用无标记的电化学阻抗谱进行病原体检测，并已被证明能够可靠地检测样品溶液中病原体的感染前水平。检测过程无需任何病原体富集程序。使用所提出技术的结果表明，对于浓度约为500CFU/ml的病原体，检测时间约为6分钟（数据采集5分钟，分析1分钟）。这里介绍的检测方法已证明具有高精度，并且可以推广用于检测其他对医疗保健、食品和环境有影响的病原体。此外，该技术具有低计算复杂度，并且使用最少的数据集（仅30个数据样本）进行数据分析。因此，它非常适合用于手持式病原体探测器。
