A technique for rapid bacterial-density enumeration through membrane filtration and differential pressure measurements
In this article, we present a microfluidic technique for the rapid enumeration of bacterial density with a syringe filter to trap bacteria and the quantification of the bacterial density through pressure difference measurement across the membrane. First, we established the baseline differential pres...
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sg-ntu-dr.10356-1636652023-02-16T07:48:04Z A technique for rapid bacterial-density enumeration through membrane filtration and differential pressure measurements Shen, Xinhui Teo, Ting Wei Kong, Tian Fook Marcos School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Bacterial Enumeration Membrane Filtration In this article, we present a microfluidic technique for the rapid enumeration of bacterial density with a syringe filter to trap bacteria and the quantification of the bacterial density through pressure difference measurement across the membrane. First, we established the baseline differential pressure and hydraulic resistance for a filtration membrane by fully wetting the filter with DI water. Subsequently, when bacteria were infused and trapped at the pores of the membrane, the differential pressure and hydraulic resistance also increased. We characterized the infusion time required for the bacterial sample to achieve a normalized hydraulic resistance of 1.5. An equivalent electric-circuit model and calibration data sets from parametric studies were used to determine the general form of a calibration curve for the prediction of the bacterial density of a bacterial sample. As a proof of concept, we demonstrated through blind tests with Escherichia coli that the device is capable of determining the bacterial density of a sample ranging from 7.3 × 106 to 2.2 × 108 CFU/mL with mean and median accuracies of 87.21% and 91.33%, respectively. The sample-to-result time is 19 min for a sample with lower detection threshold, while for higher-bacterial-density samples the measurement time is further shortened to merely 8 min. Ministry of Education (MOE) Published version This research is supported by the Ministry of Education, Singapore, under its Academic Research Fund Tier 1 RT04/19(S). 2022-12-14T03:27:56Z 2022-12-14T03:27:56Z 2022 Journal Article Shen, X., Teo, T. W., Kong, T. F. & Marcos (2022). A technique for rapid bacterial-density enumeration through membrane filtration and differential pressure measurements. Micromachines, 13(8), 1198-. https://dx.doi.org/10.3390/mi13081198 2072-666X https://hdl.handle.net/10356/163665 10.3390/mi13081198 36014121 2-s2.0-85137562794 8 13 1198 en RT04/19(S) Micromachines 10.21979/N9/5EQO81 © 2022 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 (https:// creativecommons.org/licenses/by/ 4.0/). application/pdf |
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Engineering::Mechanical engineering Bacterial Enumeration Membrane Filtration Shen, Xinhui Teo, Ting Wei Kong, Tian Fook Marcos A technique for rapid bacterial-density enumeration through membrane filtration and differential pressure measurements |
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In this article, we present a microfluidic technique for the rapid enumeration of bacterial density with a syringe filter to trap bacteria and the quantification of the bacterial density through pressure difference measurement across the membrane. First, we established the baseline differential pressure and hydraulic resistance for a filtration membrane by fully wetting the filter with DI water. Subsequently, when bacteria were infused and trapped at the pores of the membrane, the differential pressure and hydraulic resistance also increased. We characterized the infusion time required for the bacterial sample to achieve a normalized hydraulic resistance of 1.5. An equivalent electric-circuit model and calibration data sets from parametric studies were used to determine the general form of a calibration curve for the prediction of the bacterial density of a bacterial sample. As a proof of concept, we demonstrated through blind tests with Escherichia coli that the device is capable of determining the bacterial density of a sample ranging from 7.3 × 106 to 2.2 × 108 CFU/mL with mean and median accuracies of 87.21% and 91.33%, respectively. The sample-to-result time is 19 min for a sample with lower detection threshold, while for higher-bacterial-density samples the measurement time is further shortened to merely 8 min. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Shen, Xinhui Teo, Ting Wei Kong, Tian Fook Marcos |
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Article |
author |
Shen, Xinhui Teo, Ting Wei Kong, Tian Fook Marcos |
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Shen, Xinhui |
title |
A technique for rapid bacterial-density enumeration through membrane filtration and differential pressure measurements |
title_short |
A technique for rapid bacterial-density enumeration through membrane filtration and differential pressure measurements |
title_full |
A technique for rapid bacterial-density enumeration through membrane filtration and differential pressure measurements |
title_fullStr |
A technique for rapid bacterial-density enumeration through membrane filtration and differential pressure measurements |
title_full_unstemmed |
A technique for rapid bacterial-density enumeration through membrane filtration and differential pressure measurements |
title_sort |
technique for rapid bacterial-density enumeration through membrane filtration and differential pressure measurements |
publishDate |
2022 |
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https://hdl.handle.net/10356/163665 |
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