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Rapid detection of microbial cell abundance in aquatic systems.

Authors :
Rocha, Andrea M.
Yuan, Quan
Close, Dan M.
O’Dell, Kaela B.
Fortney, Julian L.
Wu, Jayne
Hazen, Terry C.
Source :
Biosensors & Bioelectronics. Nov2016, Vol. 85, p915-923. 9p.
Publication Year :
2016

Abstract

The detection and quantification of naturally occurring microbial cellular densities is an essential component of environmental systems monitoring. While there are a number of commonly utilized approaches for monitoring microbial abundance, capacitance-based biosensors represent a promising approach because of their low-cost and label-free detection of microbial cells, but are not as well characterized as more traditional methods. Here, we investigate the applicability of enhanced alternating current electrokinetics (ACEK) capacitive sensing as a new application for rapidly detecting and quantifying microbial cellular densities in cultured and environmentally sourced aquatic samples. ACEK capacitive sensor performance was evaluated using two distinct and dynamic systems – the Great Australian Bight and groundwater from the Oak Ridge Reservation in Oak Ridge, TN. Results demonstrate that ACEK capacitance-based sensing can accurately determine microbial cell counts throughout cellular concentrations typically encountered in naturally occurring microbial communities (10 3 −10 6 cells/mL). A linear relationship was observed between cellular density and capacitance change correlations, allowing a simple linear curve fitting equation to be used for determining microbial abundances in unknown samples. This work provides a foundation for understanding the limits of capacitance-based sensing in natural environmental samples and supports future efforts focusing on evaluating the robustness ACEK capacitance-based within aquatic environments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09565663
Volume :
85
Database :
Academic Search Index
Journal :
Biosensors & Bioelectronics
Publication Type :
Academic Journal
Accession number :
117336507
Full Text :
https://doi.org/10.1016/j.bios.2016.05.098