Parameter selection for a microvolume electrochemical escherichia coli detector for pairing with a concentration device
Waterborne infections are responsible for health problems worldwide and their prompt and sensitive detection in recreational and potable water is of great importance. Bacterial identification and enumeration in water samples ensures water is safe for its intended use. Culture-based methods can be ti...
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sg-ntu-dr.10356-846332020-09-21T11:34:50Z Parameter selection for a microvolume electrochemical escherichia coli detector for pairing with a concentration device Han, Evelina Jing Ying Palanisamy, Kannan Hinks, Jamie Wuertz, Stefan School of Civil and Environmental Engineering Singapore Centre for Environmental Life Sciences and Engineering Escherichia Coli Anaerobic Respiration Engineering::Civil engineering Waterborne infections are responsible for health problems worldwide and their prompt and sensitive detection in recreational and potable water is of great importance. Bacterial identification and enumeration in water samples ensures water is safe for its intended use. Culture-based methods can be time consuming and are usually performed offsite. There is a need to for automated and distributed at-source detectors for water quality monitoring. Herein we demonstrate a microvolume Escherichia coli (E. coli) detector based on a screen printed electrode (SPE) bioelectroanalytical system and explore to what extent performance can be improved by coupling it with a filtration device. To confidently benchmark detector performance, we applied a statistical assessment method to target optimal detection of a simulated concentrated sample. Our aim was to arrive at a holistic understanding of device performance and to demonstrate system improvements based on these insights. The best achievable detection time for a simulated 1 CFU mL−1 sample was 4.3 (±0.6) h assuming no loss of performance in the filtration step. The real filtered samples fell short of this, extending detection time to 16–18 h. The loss in performance is likely to arise from stress imposed by the filtration step which inhibited microbial growth rates. NRF (Natl Research Foundation, S’pore) MOE (Min. of Education, S’pore) Published version 2019-07-05T07:19:26Z 2019-12-06T15:48:43Z 2019-07-05T07:19:26Z 2019-12-06T15:48:43Z 2019 Journal Article Han, E. J. Y., Palanisamy, K., Hinks, J., & Wuertz, S. (2019). Parameter Selection for a Microvolume Electrochemical Escherichia coli Detector for Pairing with a Concentration Device. Sensors, 19(11), 2437-. doi:10.3390/s19112437 1424-8220 https://hdl.handle.net/10356/84633 http://hdl.handle.net/10220/49159 10.3390/s19112437 en Sensors © 2019 by the Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 12 p. application/pdf |
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Escherichia Coli Anaerobic Respiration Engineering::Civil engineering Han, Evelina Jing Ying Palanisamy, Kannan Hinks, Jamie Wuertz, Stefan Parameter selection for a microvolume electrochemical escherichia coli detector for pairing with a concentration device |
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Waterborne infections are responsible for health problems worldwide and their prompt and sensitive detection in recreational and potable water is of great importance. Bacterial identification and enumeration in water samples ensures water is safe for its intended use. Culture-based methods can be time consuming and are usually performed offsite. There is a need to for automated and distributed at-source detectors for water quality monitoring. Herein we demonstrate a microvolume Escherichia coli (E. coli) detector based on a screen printed electrode (SPE) bioelectroanalytical system and explore to what extent performance can be improved by coupling it with a filtration device. To confidently benchmark detector performance, we applied a statistical assessment method to target optimal detection of a simulated concentrated sample. Our aim was to arrive at a holistic understanding of device performance and to demonstrate system improvements based on these insights. The best achievable detection time for a simulated 1 CFU mL−1 sample was 4.3 (±0.6) h assuming no loss of performance in the filtration step. The real filtered samples fell short of this, extending detection time to 16–18 h. The loss in performance is likely to arise from stress imposed by the filtration step which inhibited microbial growth rates. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Han, Evelina Jing Ying Palanisamy, Kannan Hinks, Jamie Wuertz, Stefan |
format |
Article |
author |
Han, Evelina Jing Ying Palanisamy, Kannan Hinks, Jamie Wuertz, Stefan |
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Han, Evelina Jing Ying |
title |
Parameter selection for a microvolume electrochemical escherichia coli detector for pairing with a concentration device |
title_short |
Parameter selection for a microvolume electrochemical escherichia coli detector for pairing with a concentration device |
title_full |
Parameter selection for a microvolume electrochemical escherichia coli detector for pairing with a concentration device |
title_fullStr |
Parameter selection for a microvolume electrochemical escherichia coli detector for pairing with a concentration device |
title_full_unstemmed |
Parameter selection for a microvolume electrochemical escherichia coli detector for pairing with a concentration device |
title_sort |
parameter selection for a microvolume electrochemical escherichia coli detector for pairing with a concentration device |
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2019 |
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https://hdl.handle.net/10356/84633 http://hdl.handle.net/10220/49159 |
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1681058482666602496 |