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3D-Printed Microfluidic Device for the Detection of Pathogenic Bacteria Using Size-based Separation in Helical Channel with Trapezoid Cross-Section

Open access
Lee, Wonjae, Kwon, Donghoon, Choi, Woong, Jung, Gyoo Yeol, Au, Anthony K., Folch, Albert, Jeon, Sangmin·2015·Scientific Reports

Abstract

A facile method has been developed to detect pathogenic bacteria using magnetic nanoparticle clusters (MNCs) and a 3D-printed helical microchannel. Antibody-functionalized MNCs were used to capture E. coli (EC) bacteria in milk, and the free MNCs and MNC-EC complexes were separated from the milk using a permanent magnet. The free MNCs and MNC-EC complexes were dispersed in a buffer solution, then the solution was injected into a helical microchannel device with or without a sheath flow. The MNC-EC complexes were separated from the free MNCs via the Dean drag force and lift force, and the separation was facilitated in the presence of a sheath flow. The concentration of the E. coli bacteria was determined using a light absorption spectrometer, and the limit of detection was found to be 10 cfu/mL in buffer solution and 100 cfu/mL in milk.

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Metadata

Authors
Lee, W., Kwon, D., Choi, W., Jung, G. Y., Au, A. K., Folch, A., & Jeon, S.
Venue
Scientific Reports
Published
2015-01-12
Volume
5
Issue
1
Pages
7717-7717
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2024021474
Cited by
300
References
0
FWCI
19.03
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: 3D-Printed Microfluidic Device for the Detection of Pathogenic Bacteria Using Size-based Separation in Helical Channel with Trapezoid Cross-Section. https://app.cochat.ai/papers/10.1038/srep07717
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Lee, W., Kwon, D., Choi, W., Jung, G. Y., Au, A. K., Folch, A., & Jeon, S. (2015). 3D-Printed Microfluidic Device for the Detection of Pathogenic Bacteria Using Size-based Separation in Helical Channel with Trapezoid Cross-Section. Scientific Reports. https://doi.org/10.1038/srep07717

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.