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Title: Rapid detection of microbial cell abundance in aquatic systems

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 (103-106 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.

Authors:
; ; ; ; ; ;
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Joint Institute for Biological Sciences (JIBS); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1255343
Alternate Identifier(s):
OSTI ID: 1326551; OSTI ID: 1480748
Grant/Contract Number:  
AC02-05CH11231; AC05-00OR22725
Resource Type:
Published Article
Journal Name:
Biosensors and Bioelectronics
Additional Journal Information:
Journal Name: Biosensors and Bioelectronics Journal Volume: 85 Journal Issue: C; Journal ID: ISSN 0956-5663
Publisher:
Elsevier
Country of Publication:
Netherlands
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; biosensor; interfacial capacitance; AC electrokinetics; microbial abundance

Citation Formats

Rocha, Andrea M., Yuan, Quan, Close, Dan M., O’Dell, Kaela B., Fortney, Julian L., Wu, Jayne, and Hazen, Terry C. Rapid detection of microbial cell abundance in aquatic systems. Netherlands: N. p., 2016. Web. doi:10.1016/j.bios.2016.05.098.
Rocha, Andrea M., Yuan, Quan, Close, Dan M., O’Dell, Kaela B., Fortney, Julian L., Wu, Jayne, & Hazen, Terry C. Rapid detection of microbial cell abundance in aquatic systems. Netherlands. https://doi.org/10.1016/j.bios.2016.05.098
Rocha, Andrea M., Yuan, Quan, Close, Dan M., O’Dell, Kaela B., Fortney, Julian L., Wu, Jayne, and Hazen, Terry C. Tue . "Rapid detection of microbial cell abundance in aquatic systems". Netherlands. https://doi.org/10.1016/j.bios.2016.05.098.
@article{osti_1255343,
title = {Rapid detection of microbial cell abundance in aquatic systems},
author = {Rocha, Andrea M. and Yuan, Quan and Close, Dan M. and O’Dell, Kaela B. and Fortney, Julian L. and Wu, Jayne and Hazen, Terry C.},
abstractNote = {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 (103-106 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.},
doi = {10.1016/j.bios.2016.05.098},
journal = {Biosensors and Bioelectronics},
number = C,
volume = 85,
place = {Netherlands},
year = {2016},
month = {11}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.bios.2016.05.098

Citation Metrics:
Cited by: 5 works
Citation information provided by
Web of Science

Figures / Tables:

Figure 1 Figure 1: Field collection sites for environmentally sourced samples. (A) Seawater samples were collected from the Great Australian Bight in 2013 across five sampling locations (green circle). (B) Groundwater samples were collected from groundwater monitoring wells located in the background area of the Oak Ridge Reservation in Oak Ridge, TN.

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Works referencing / citing this record:

Sensitive Detection of E. coli in Artificial Seawater by Aptamer-Coated Magnetic Beads and Direct PCR
journal, December 2019

  • Kotsiri, Zoi; Vantarakis, Apostolos; Rizzotto, Francesco
  • Applied Sciences, Vol. 9, Issue 24
  • DOI: 10.3390/app9245392

Capacitive Biosensors and Molecularly Imprinted Electrodes
journal, February 2017


Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.