School of Molecular Sciences, Arizona State University, Tempe, AZ, USA.
Phoenix Research Institute, Phoenix, AZ, USA.
Anal Chim Acta. 2019 Aug 30;1068:41-51. doi: 10.1016/j.aca.2019.03.019. Epub 2019 Mar 12.
Foodborne pathogens pose one of the greatest challenges facing public health in the modern day. One important pathogen, Listeria monocytogenes, is known to be challenging to detect and identify. Three serovars cause most of the Listeria related food-borne illnesses, which the Centers for Disease Control currently utilizes a combination of pulsed-field gel electrophoresis and whole genome sequencing for identification and the determination of clusters and outbreaks. There is a potential method for rapid collection of epidemiological information by exploiting the electrokinetic and dielectrophoretic properties of the L. monocytogenes serovars. Using dielectrophoresis, the three most commonly identified serovars of L. monocytogenes can be distinguished from each other. The electrokinetic and dielectrophoretic mobilities of each serovar was determined through a combination of electrokinetic velocity and dielectrophoretic trapping assessments, in conjunction with finite element multi-physics modeling. A mathematical model of the data, which defines the various factors of dielectrophoretic trapping, is utilized and verified based on the behavior of L. monocytogenes in the microchannel. The trapping condition for the serovars were evaluated as 2.8±0.2×10, 2.2±0.2×10, and 2.2±0.3×10Vm and the electrokinetic mobility was assessed to be 19±0.7, 17±0.7, and for the L. monocytogenes serovars 1/2a, 1/2b, and 4b, respectively.
食源性病原体是当今公共卫生面临的最大挑战之一。有一种重要的病原体，单核细胞增生李斯特菌，已知难以检测和识别。三种血清型引起了大多数李斯特菌相关的食源性疾病，目前疾病控制中心将脉冲场凝胶电泳和全基因组测序结合起来用于鉴定和确定集群和暴发。有一种通过利用李斯特菌血清型的电动和介电泳特性快速收集流行病学信息的潜在方法。通过介电泳，可以将三种最常见的李斯特菌血清型彼此区分开来。通过电动速度和介电泳捕获评估的组合，结合有限元多物理建模，确定了每种血清型的电动和介电泳迁移率。利用数据的数学模型，该模型定义了介电泳捕获的各种因素，并根据李斯特菌在微通道中的行为进行验证。对血清型的捕获条件进行了评估，结果为 2.8±0.2×10、2.2±0.2×10 和 2.2±0.3×10Vm，电动迁移率分别评估为 19±0.7、17±0.7，以及李斯特菌血清型 1/2a、1/2b 和 4b。
