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Rapid detection of microbial cell abundance in aquatic systems.
Rocha, Andrea M; Yuan, Quan; Close, Dan M; O'Dell, Kaela B; Fortney, Julian L; Wu, Jayne; Hazen, Terry C.
Afiliação
  • Rocha AM; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA; Department of Civil & Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA.
  • Yuan Q; Department of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN 37996, USA.
  • Close DM; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.
  • O'Dell KB; Department of Civil & Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA.
  • Fortney JL; Department of Civil & Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA.
  • Wu J; Department of Electrical Engineering & Computer Science, University of Tennessee, Knoxville, TN 37996, USA.
  • Hazen TC; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA; Department of Civil & Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA; Department of Earth and Planetary Sciences, University of Tennessee, Knoxville, TN 37996, USA; Department of Microbio
Biosens Bioelectron ; 85: 915-923, 2016 Nov 15.
Article em En | MEDLINE | ID: mdl-27315516
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Microbiologia da Água / Técnicas Biossensoriais Tipo de estudo: Diagnostic_studies / Evaluation_studies Idioma: En Revista: Biosens Bioelectron Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Microbiologia da Água / Técnicas Biossensoriais Tipo de estudo: Diagnostic_studies / Evaluation_studies Idioma: En Revista: Biosens Bioelectron Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos
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