An Integrated Microfluidic System for Bacteria Identification from Human Joint Fluids

Ting-Hang Liu; Huey-Ling You; Mel S. Lee; Gwo-Bin Lee

doi:10.1109/NEMS.2018.8557008

An Integrated Microfluidic System for Bacteria Identification from Human Joint Fluids

Ting-Hang Liu
, Huey-Ling You
, Mel S. Lee^*
, Gwo-Bin Lee^*

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

An integrated microfluidic system was developed to identify bacteria in human joint fluid (HJF) in this study. The entire process including bacteria isolation in HJF, bacteria lysis, polymerase chain reaction (PCR) and optical detection could be automated on a single chip. An universal 16S rRNA primer set and four designed primers to identify Staphylococcus aureus (SA), methicillin-resistance Staphylocuccus aureus (MRSA), Escherichia coli (E. coli), and Acinetobacter baumannii (A. B.) were used for bacteria identification. In addition, N-Acetyl-L-cysteine for dissolving sticky mucus of HJF samples and vancomycin-coated magnetic beads were applied for bacteria isolation such that the detection limit could be significantly improved. The entire process could be automated by using a microfluidic system. Experimental results showed that the limit of detection (LOD) could be significantly improved to 100 colony formation units (CFU) per milliliter (or 20 CFU/reaction), which meets the demand on clinical diagnosis. Furthermore, the whole process could be performed within 90 minutes, which is much faster when compared to the traditional method (usually 3-7 days).

Original language	English
Title of host publication	NEMS 2018
Subtitle of host publication	The 13th Annual IEEE International Conference on Nano/Micro Engineered and Molecular Systems
Publisher	IEEE
Pages	40-43
ISBN (Electronic)	9781538652732
ISBN (Print)	9781538652749
DOIs	https://doi.org/10.1109/NEMS.2018.8557008
Publication status	Published - Apr 2018
Externally published	Yes
Event	13th Annual IEEE International Conference on Nano/Micro Engineered and Molecular Systems (IEEE-NEMS 2018) - Grand Hyatt Singapore, Singapore Duration: 22 Apr 2018 → 26 Apr 2018

Publication series

Name	IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)
Publisher	IEEE
ISSN (Print)	2474-3747
ISSN (Electronic)	2474-3755

Conference

Conference	13th Annual IEEE International Conference on Nano/Micro Engineered and Molecular Systems (IEEE-NEMS 2018)
Place	Singapore
Period	22/04/18 → 26/04/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access Output

10.1109/NEMS.2018.8557008

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

Liu, T.-H., You, H.-L., Lee, M. S., & Lee, G.-B. (2018). An Integrated Microfluidic System for Bacteria Identification from Human Joint Fluids. In NEMS 2018: The 13th Annual IEEE International Conference on Nano/Micro Engineered and Molecular Systems (pp. 40-43). Article 8557008 (IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)). IEEE. https://doi.org/10.1109/NEMS.2018.8557008

@inproceedings{40c9bb433fbd40e7b2070cd91eaf4101,

title = "An Integrated Microfluidic System for Bacteria Identification from Human Joint Fluids",

abstract = "An integrated microfluidic system was developed to identify bacteria in human joint fluid (HJF) in this study. The entire process including bacteria isolation in HJF, bacteria lysis, polymerase chain reaction (PCR) and optical detection could be automated on a single chip. An universal 16S rRNA primer set and four designed primers to identify Staphylococcus aureus (SA), methicillin-resistance Staphylocuccus aureus (MRSA), Escherichia coli (E. coli), and Acinetobacter baumannii (A. B.) were used for bacteria identification. In addition, N-Acetyl-L-cysteine for dissolving sticky mucus of HJF samples and vancomycin-coated magnetic beads were applied for bacteria isolation such that the detection limit could be significantly improved. The entire process could be automated by using a microfluidic system. Experimental results showed that the limit of detection (LOD) could be significantly improved to 100 colony formation units (CFU) per milliliter (or 20 CFU/reaction), which meets the demand on clinical diagnosis. Furthermore, the whole process could be performed within 90 minutes, which is much faster when compared to the traditional method (usually 3-7 days).",

author = "Ting-Hang Liu and Huey-Ling You and Lee, \{Mel S.\} and Gwo-Bin Lee",

year = "2018",

month = apr,

doi = "10.1109/NEMS.2018.8557008",

language = "English",

isbn = "9781538652749",

series = "IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)",

publisher = "IEEE",

pages = "40--43",

booktitle = "NEMS 2018",

address = "United States",

note = "13th Annual IEEE International Conference on Nano/Micro Engineered and Molecular Systems (IEEE-NEMS 2018) ; Conference date: 22-04-2018 Through 26-04-2018",

}

Liu, T-H, You, H-L, Lee, MS & Lee, G-B 2018, An Integrated Microfluidic System for Bacteria Identification from Human Joint Fluids. in NEMS 2018: The 13th Annual IEEE International Conference on Nano/Micro Engineered and Molecular Systems., 8557008, IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS), IEEE, pp. 40-43, 13th Annual IEEE International Conference on Nano/Micro Engineered and Molecular Systems (IEEE-NEMS 2018), Singapore, 22/04/18. https://doi.org/10.1109/NEMS.2018.8557008

An Integrated Microfluidic System for Bacteria Identification from Human Joint Fluids. / Liu, Ting-Hang; You, Huey-Ling; Lee, Mel S. et al.
NEMS 2018: The 13th Annual IEEE International Conference on Nano/Micro Engineered and Molecular Systems. IEEE, 2018. p. 40-43 8557008 (IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - An Integrated Microfluidic System for Bacteria Identification from Human Joint Fluids

AU - Liu, Ting-Hang

AU - You, Huey-Ling

AU - Lee, Mel S.

AU - Lee, Gwo-Bin

PY - 2018/4

Y1 - 2018/4

N2 - An integrated microfluidic system was developed to identify bacteria in human joint fluid (HJF) in this study. The entire process including bacteria isolation in HJF, bacteria lysis, polymerase chain reaction (PCR) and optical detection could be automated on a single chip. An universal 16S rRNA primer set and four designed primers to identify Staphylococcus aureus (SA), methicillin-resistance Staphylocuccus aureus (MRSA), Escherichia coli (E. coli), and Acinetobacter baumannii (A. B.) were used for bacteria identification. In addition, N-Acetyl-L-cysteine for dissolving sticky mucus of HJF samples and vancomycin-coated magnetic beads were applied for bacteria isolation such that the detection limit could be significantly improved. The entire process could be automated by using a microfluidic system. Experimental results showed that the limit of detection (LOD) could be significantly improved to 100 colony formation units (CFU) per milliliter (or 20 CFU/reaction), which meets the demand on clinical diagnosis. Furthermore, the whole process could be performed within 90 minutes, which is much faster when compared to the traditional method (usually 3-7 days).

AB - An integrated microfluidic system was developed to identify bacteria in human joint fluid (HJF) in this study. The entire process including bacteria isolation in HJF, bacteria lysis, polymerase chain reaction (PCR) and optical detection could be automated on a single chip. An universal 16S rRNA primer set and four designed primers to identify Staphylococcus aureus (SA), methicillin-resistance Staphylocuccus aureus (MRSA), Escherichia coli (E. coli), and Acinetobacter baumannii (A. B.) were used for bacteria identification. In addition, N-Acetyl-L-cysteine for dissolving sticky mucus of HJF samples and vancomycin-coated magnetic beads were applied for bacteria isolation such that the detection limit could be significantly improved. The entire process could be automated by using a microfluidic system. Experimental results showed that the limit of detection (LOD) could be significantly improved to 100 colony formation units (CFU) per milliliter (or 20 CFU/reaction), which meets the demand on clinical diagnosis. Furthermore, the whole process could be performed within 90 minutes, which is much faster when compared to the traditional method (usually 3-7 days).

UR - https://www.scopus.com/pages/publications/85060288370

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85060288370&origin=recordpage

U2 - 10.1109/NEMS.2018.8557008

DO - 10.1109/NEMS.2018.8557008

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781538652749

T3 - IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)

SP - 40

EP - 43

BT - NEMS 2018

PB - IEEE

T2 - 13th Annual IEEE International Conference on Nano/Micro Engineered and Molecular Systems (IEEE-NEMS 2018)

Y2 - 22 April 2018 through 26 April 2018

ER -

Liu TH, You HL, Lee MS, Lee GB. An Integrated Microfluidic System for Bacteria Identification from Human Joint Fluids. In NEMS 2018: The 13th Annual IEEE International Conference on Nano/Micro Engineered and Molecular Systems. IEEE. 2018. p. 40-43. 8557008. (IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)). doi: 10.1109/NEMS.2018.8557008

An Integrated Microfluidic System for Bacteria Identification from Human Joint Fluids

Abstract

Publication series

Conference

UN SDGs

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this