Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 주재범 | - |
dc.date.accessioned | 2018-03-16T01:56:26Z | - |
dc.date.available | 2018-03-16T01:56:26Z | - |
dc.date.issued | 2014-06 | - |
dc.identifier.citation | LAB ON A CHIP, 권: 14 호: 13, p 2327-2333 | en_US |
dc.identifier.issn | 1473-0197 | - |
dc.identifier.issn | 1473-0189 | - |
dc.identifier.uri | http://pubs.rsc.org/en/content/articlelanding/2014/lc/c4lc00238e#!divAbstract | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/47666 | - |
dc.description.abstract | Detection of pathogenic bacteria requires a sensitive, accurate, rapid, and portable device. Given that lethal microbes are of various sizes, bacterial sensors based on DC (direct current) impedance on chips should be equipped with channels with commensurate cross sections. When it comes to counting and interrogation of individual bacteria on a microfluidic chip, very narrow channels are required, which are neither easy nor cost-effective to fabricate. Here, we report a flow cytometry-based submicron-sized bacterial detection system using a movable virtual wall made of a non-conducting fluid. We show that the effective dimension of a microfluidic channel can be adjusted by varying the respective flow rates of a sample solution as well as the liquid wall therein. Using such a virtual wall, we have successfully controlled the channel width and detected submicron-sized Francisella tularensis, a lethal, tularemia-causing bacterium. Since the system is capable of monitoring changes in DC impedance and fluorescence simultaneously, we were also able to discriminate between different types of bacterial mixtures containing F. tularensis and E. coli BL21 that have different gamuts of size distributions. The proposed flow cytometry-based system represents a promising way to detect bacteria including, but not limited to, submicron-sized pathogenic microbes. | en_US |
dc.description.sponsorship | This work was supported in part by the Agency for Chemical& Biological Detection Research Center (CBDRC), the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2005-2001287), and the NRF grant funded by the Korean government(MEST) (no. 2012R1A2A1A03011289). | en_US |
dc.language.iso | en | en_US |
dc.publisher | ROYAL SOC CHEMISTRY, THOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS, ENGLAND | en_US |
dc.subject | LABEL-FREE | en_US |
dc.subject | BIOSENSORS | en_US |
dc.subject | PATHOGENS | en_US |
dc.title | A flow cytometry-based submicron-sized bacterial detection system using a movable virtual wall | en_US |
dc.type | Article | en_US |
dc.relation.volume | 14 | - |
dc.identifier.doi | 10.1039/c4lc00238e | - |
dc.relation.page | 2327-2333 | - |
dc.relation.journal | LAB ON A CHIP | - |
dc.contributor.googleauthor | Choi, Hyoungseon | - |
dc.contributor.googleauthor | Jeon, Chang Su | - |
dc.contributor.googleauthor | Hwang, Inseong | - |
dc.contributor.googleauthor | Ko, Juhui | - |
dc.contributor.googleauthor | Lee, Saram | - |
dc.contributor.googleauthor | Choo, Jaebum | - |
dc.contributor.googleauthor | Boo, Jin-Hyo | - |
dc.contributor.googleauthor | Kim, Hee Chan | - |
dc.contributor.googleauthor | Chung, Taek Dong | - |
dc.relation.code | 2014035247 | - |
dc.sector.campus | S | - |
dc.sector.daehak | GRADUATE SCHOOL[S] | - |
dc.sector.department | DEPARTMENT OF BIONANOTECHNOLOGY | - |
dc.identifier.pid | jbchoo | - |
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