EventsThe 7th International Multidisciplinary Conference on Optofluidics 2017
Published
This submission belongs to the session 01. Micro-/nano-fluidics of the event The 7th International Multidisciplinary Conference on Optofluidics 2017
Published date
21 Jul, 2017
Citation
qiang Cai, Bacterial Cell Incubation and Detection in Automation Microdroplet System, in Proceedings of The 7th International Multidisciplinary Conference on Optofluidics 2017, Singapore, 25 July–28 July 2017, MDPI: Basel, Switzerland, doi: 10.3390/optofluidics2017-04172
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Bacterial Cell Incubation and Detection in Automation Microdroplet System

1. 1
Abstract

We report an automated microdroplet platform for chemostat culture of bacterial cell, and continuous detection of optical density of microdroplet. The microdroplets, divided by air bubbles, are continuously injected into PMMA micro-fluidic chip using injection pump controlled by PC. Microdroplets are divided or merged via microchannels on the chip. On the top side of michochannels, optical detector is applied to acquire optical density of luminescent light. This platform is used to study chemostat continuous culture Escherichia coli on the chip, while concentration of bacterial cell can be online detected after tracer solution is merged into microdroplet. This system has several key characteristics: small (<100 μL, typically 2 μL) samples of liquids and suspensions of bacteria that are introduced directly into the chip; a sequence of droplets with compositions can controlled by injection speed and time; dividing and merging procedures can be easily programmed by user according experimental requirement; the droplets are detected with an in-line homemade optic spectrophotometer that measures cell growth, which detection limit reach 0.01 in 637nm wavelength. The E. coli detection experiment for water sanitary is on the way, while positive result can be expected.

Keywords
hemostat
bacterial cell
bacterial cell
THE DEVELOPELEMT AND APPLICATION OF OPTICAL-CHEMICAL SENSORS ON MICROFLUIDIC RESEARCH
CELL REFRACTIVE INDEX IMAGING FOR REAL-TIME VIRUS INFECTION