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Micromachines 2016, 7(9), 169; doi:10.3390/mi7090169

Rapid Capture and Analysis of Airborne Staphylococcus aureus in the Hospital Using a Microfluidic Chip

1
Department of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China
2
Department of Neurosurgery, Provincial Hospital Affiliated to Shandong University, Jinan 250021, China
3
Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China
*
Author to whom correspondence should be addressed.
Academic Editors: Weihua Li, Hengdong Xi and Say Hwa Tan
Received: 3 August 2016 / Revised: 1 September 2016 / Accepted: 12 September 2016 / Published: 15 September 2016
(This article belongs to the Special Issue Insights and Advancements in Microfluidics)
View Full-Text   |   Download PDF [1276 KB, uploaded 22 September 2016]   |  

Abstract

In this study we developed a microfluidic chip for the rapid capture, enrichment and detection of airborne Staphylococcus (S.) aureus. The whole analysis took about 4 h and 40 min from airborne sample collection to loop-mediated isothermal amplification (LAMP), with a detection limit down to about 27 cells. The process did not require DNA purification. The chip was validated using standard bacteria bioaerosol and was directly used for clinical airborne pathogen sampling in hospital settings. This is the first report on the capture and analysis of airborne S. aureus using a novel microfluidic technique, a process that could have a very promising platform for hospital airborne infection prevention (HAIP). View Full-Text
Keywords: microfluidics; airborne bacteria; bioaerosols microfluidics; airborne bacteria; bioaerosols
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Jiang, X.; Liu, Y.; Liu, Q.; Jing, W.; Qin, K.; Sui, G. Rapid Capture and Analysis of Airborne Staphylococcus aureus in the Hospital Using a Microfluidic Chip. Micromachines 2016, 7, 169.

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