4.6 Article

Identification of Microorganisms Using an EWOD System

Journal

MICROMACHINES
Volume 13, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/mi13020189

Keywords

microorganism identification; electrowetting on dielectric system; digital microfluidics system

Funding

  1. Ministry of Science and Technology, Taiwan [MOST 1082221-E-007-031-MY3]

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This article introduces the application of an electrowetting-on-dielectric (EWOD) chip in the field of biomedicine, which can accurately control volume and reduce the amount of samples and reagents used. By using the ImageJ image processing tool, optimal operating parameters were determined, and successful biochemical identification of five bacterial species was achieved. The experimental results show that the DBEDF chip has high operational efficiency and can be applied in microbial identification and other fields.
Among the advantages of an electrowetting-on-dielectric (EWOD) chip are its uncomplicated fabrication and low cost; one of its greatest strengths that might be applied in the field of biomedical technology is that it can accurately control volume and reduces the amount of samples and reagents. We present an EWOD for the biochemical identification of microorganisms, which is required to confirm the source of microbial contamination or quality inspection of product-added bacteria, etc. The traditional kit we used existed in the market; the detection results are judged by the pattern of color change after incubation. After a preliminary study, we confirmed that an image-processing tool (ImageJ) provides a suitable method of analysis, and that, when the concentration of the sugar reagent is 38 mu g/mu L, the best operating parameters for the EWOD chip in silicone oil are 40 V and 1.5 kHz. Additionally, we completed the biochemical identification of five bacterial species on the EWOD chip at the required concentration of the kit. Next, we found a decreased duration of reaction and that the least number of bacteria that were identifiable on the chip lies between 100 and 1000 CFU per droplet. Because the number of bacteria required on the chip is much smaller than for the kit, we tested whether a single colony can be used for identification, which provided a positive result. Finally, we designed an experimental flow to simulate an actual sample in an unclean environment, in which we divided the various processed samples into four groups to conduct experiments on the chip.

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