Electrokinetic Mobilities Characterization and Rapid Detection of Microorganisms in Glass Microchannels

• Published in: Chemical engineering & technology 2011-03, Vol.34 (3), p.371-378
• Main Authors: Garza-García, L. D., Pérez-González, V. H., Pérez-Sánchez, O. A., Lapizco-Encinas, B. H.
• Format: Article
• Language: English
• Subjects: Ankistrodesmus spiralis; Applied sciences; Biological and medical sciences; Chemical engineering; Electric fields; Electrokinetic; Escherichia coli; Exact sciences and technology; Food engineering; Food industries; Fundamental and applied biological sciences. Psychology; General aspects; Microfluidics; Microorganisms; Saccharomyces cerevisiae; Safety; Separation techniques
• ISSN: 0930-7516; 1521-4125
• DOI: 10.1002/ceat.201000298

Microscale electrokinetic techniques have great potential for the separation and sorting of microorganisms, and could solve the need for rapid and early detection of pathogens in medical diagnostics and food safety applications. Presented here is the application of micro particle image velocimetry for the characterization of electrokinetic transport of three types of microorganisms: Escherichia coli, Ankistrodesmus spiralis, and Saccharomyces cerevisiae. The electrokinetic behavior of these microorganisms was characterized employing a straight glass microchannel and direct current electric fields (50–300 V cm–1). The effects of the type and size of microorganism, electric field magnitude, and suspending medium characteristics were analyzed. Additionally, electrokinetic differentiation was achieved when a sample containing a mixture of the three types of microorganisms was analyzed by generating an electropherogram in one minute, identifying that three different species were present. These results demonstrate that fast and effective detection, and differentiation of intact microorganisms can be achieved employing microscale electrokinetic techniques. The electrokinetic transport of three types of microorganisms: Escherichia coli, Ankistrodesmus spiralis, and Saccharomyces cerevisiae were characterized employing particle image velocimetry. Electrokinetic detection and differentiation were achieved by generating an electropherogram in one minute, identifying that three different species were present.