High-performance portable graphene field-effect transistor device for detecting Gram-positive and -negative bacteria

Kyung Ho Kim; Seon Joo Park; Chul Soon Park; Sung Eun Seo; Jiyeon Lee; Jinyeong Kim; Seung Hwan Lee; Soohyun Lee; Jun Seob Kim; Choong Min Ryu; Dongeun Yong; Hyeonseok Yoon; Hyun Seok Song; Sang Hun Lee; Oh Seok Kwon

doi:10.1016/j.bios.2020.112514

High-performance portable graphene field-effect transistor device for detecting Gram-positive and -negative bacteria

Kyung Ho Kim, Seon Joo Park, Chul Soon Park, Sung Eun Seo, Jiyeon Lee, Jinyeong Kim, Seung Hwan Lee, Soohyun Lee, Jun Seob Kim, Choong Min Ryu, Dongeun Yong, Hyeonseok Yoon, Hyun Seok Song, Sang Hun Lee, Oh Seok Kwon

Department of Laboratory Medicine

Research output: Contribution to journal › Article › peer-review

29 Citations (Scopus)

Abstract

Current techniques for Gram-typing and for diagnosing a pathogen at the early infection stage rely on Gram stains, cultures, Enzyme linked immunosorbent assay (ELISA), polymerase chain reaction (PCR), and gene microarrays, which are labor-intensive and time-consuming approaches. In addition, a delayed or imprecise diagnosis of clinical pathogenic bacteria leads to a life-threatening emergency or overuse of antibiotics and a high-rate occurrence of antimicrobial-resistance microbes. Herein, we report high-performance antibiotics (as bioprobes) conjugated graphene micropattern field-effect transistors (ABX-GMFETs) to facilitate on-site Gram-typing and help in the detection of the presence or absence of Gram-negative and -positive bacteria in the samples. The ABX-GMFET platform, which consists of recognition probes and GM transistors conjugated with novel interfacing chemical compounds, was integrated into the microfluidics to minimize the required human intervention and facilitate automation. The mechanism of binding of ABX-GMFET was based on a charge or chemical moiety interaction between the bioprobes and target bacteria. Subsequently, ABX-GMFETs exhibited unprecedented high sensitivity with a limit of detection (LOD) of 10⁰ CFU/mL (1–9 CFU/mL), real-time target specificity.

Original language	English
Article number	112514
Journal	Biosensors and Bioelectronics
Volume	167
DOIs	https://doi.org/10.1016/j.bios.2020.112514
Publication status	Published - 2020 Nov 1

Bibliographical note

Funding Information:
This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through Advanced Production Technology Development Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (318104-3); The National Research Foundation of Korea (NRF) Grant funded by the Ministry of Science and ICT for First-Mover Program for Accelerating Disruptive Technology Development (NRF-2018M3C1B9069834); The Cooperative Research Program for Agriculture Science and Technology Development, funded by Rural Development Administration (Project No. PJ014790022020); The National Research Council of Science & Technology (NST) grant by the Korea government (MSIP) (No. CPS-19-04-KRIBB) and the KRIBB Initiative Research Program.

Funding Information:
This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through Advanced Production Technology Development Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) ( 318104-3 ); The National Research Foundation of Korea (NRF) Grant funded by the Ministry of Science and ICT for First-Mover Program for Accelerating Disruptive Technology Development ( NRF-2018M3C1B9069834 ); The Cooperative Research Program for Agriculture Science and Technology Development, funded by Rural Development Administration (Project No. PJ014790022020 ); The National Research Council of Science & Technology (NST) grant by the Korea government (MSIP) (No. CPS-19-04-KRIBB ) and the KRIBB Initiative Research Program.

Publisher Copyright:
© 2020 Elsevier B.V.

All Science Journal Classification (ASJC) codes

Biotechnology
Biophysics
Biomedical Engineering
Electrochemistry

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10.1016/j.bios.2020.112514

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Kim, K. H., Park, S. J., Park, C. S., Seo, S. E., Lee, J., Kim, J., Lee, S. H., Lee, S., Kim, J. S., Ryu, C. M., Yong, D., Yoon, H., Song, H. S., Lee, S. H., & Kwon, O. S. (2020). High-performance portable graphene field-effect transistor device for detecting Gram-positive and -negative bacteria. Biosensors and Bioelectronics, 167, [112514]. https://doi.org/10.1016/j.bios.2020.112514

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title = "High-performance portable graphene field-effect transistor device for detecting Gram-positive and -negative bacteria",

abstract = "Current techniques for Gram-typing and for diagnosing a pathogen at the early infection stage rely on Gram stains, cultures, Enzyme linked immunosorbent assay (ELISA), polymerase chain reaction (PCR), and gene microarrays, which are labor-intensive and time-consuming approaches. In addition, a delayed or imprecise diagnosis of clinical pathogenic bacteria leads to a life-threatening emergency or overuse of antibiotics and a high-rate occurrence of antimicrobial-resistance microbes. Herein, we report high-performance antibiotics (as bioprobes) conjugated graphene micropattern field-effect transistors (ABX-GMFETs) to facilitate on-site Gram-typing and help in the detection of the presence or absence of Gram-negative and -positive bacteria in the samples. The ABX-GMFET platform, which consists of recognition probes and GM transistors conjugated with novel interfacing chemical compounds, was integrated into the microfluidics to minimize the required human intervention and facilitate automation. The mechanism of binding of ABX-GMFET was based on a charge or chemical moiety interaction between the bioprobes and target bacteria. Subsequently, ABX-GMFETs exhibited unprecedented high sensitivity with a limit of detection (LOD) of 100 CFU/mL (1–9 CFU/mL), real-time target specificity.",

author = "Kim, {Kyung Ho} and Park, {Seon Joo} and Park, {Chul Soon} and Seo, {Sung Eun} and Jiyeon Lee and Jinyeong Kim and Lee, {Seung Hwan} and Soohyun Lee and Kim, {Jun Seob} and Ryu, {Choong Min} and Dongeun Yong and Hyeonseok Yoon and Song, {Hyun Seok} and Lee, {Sang Hun} and Kwon, {Oh Seok}",

note = "Funding Information: This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through Advanced Production Technology Development Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (318104-3); The National Research Foundation of Korea (NRF) Grant funded by the Ministry of Science and ICT for First-Mover Program for Accelerating Disruptive Technology Development (NRF-2018M3C1B9069834); The Cooperative Research Program for Agriculture Science and Technology Development, funded by Rural Development Administration (Project No. PJ014790022020); The National Research Council of Science & Technology (NST) grant by the Korea government (MSIP) (No. CPS-19-04-KRIBB) and the KRIBB Initiative Research Program. Funding Information: This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through Advanced Production Technology Development Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) ( 318104-3 ); The National Research Foundation of Korea (NRF) Grant funded by the Ministry of Science and ICT for First-Mover Program for Accelerating Disruptive Technology Development ( NRF-2018M3C1B9069834 ); The Cooperative Research Program for Agriculture Science and Technology Development, funded by Rural Development Administration (Project No. PJ014790022020 ); The National Research Council of Science & Technology (NST) grant by the Korea government (MSIP) (No. CPS-19-04-KRIBB ) and the KRIBB Initiative Research Program. Publisher Copyright: {\textcopyright} 2020 Elsevier B.V.",

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doi = "10.1016/j.bios.2020.112514",

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T1 - High-performance portable graphene field-effect transistor device for detecting Gram-positive and -negative bacteria

AU - Kim, Kyung Ho

AU - Park, Seon Joo

AU - Park, Chul Soon

AU - Seo, Sung Eun

AU - Lee, Jiyeon

AU - Kim, Jinyeong

AU - Lee, Seung Hwan

AU - Lee, Soohyun

AU - Kim, Jun Seob

AU - Ryu, Choong Min

AU - Yong, Dongeun

AU - Yoon, Hyeonseok

AU - Song, Hyun Seok

AU - Lee, Sang Hun

AU - Kwon, Oh Seok

N1 - Funding Information: This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through Advanced Production Technology Development Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (318104-3); The National Research Foundation of Korea (NRF) Grant funded by the Ministry of Science and ICT for First-Mover Program for Accelerating Disruptive Technology Development (NRF-2018M3C1B9069834); The Cooperative Research Program for Agriculture Science and Technology Development, funded by Rural Development Administration (Project No. PJ014790022020); The National Research Council of Science & Technology (NST) grant by the Korea government (MSIP) (No. CPS-19-04-KRIBB) and the KRIBB Initiative Research Program. Funding Information: This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through Advanced Production Technology Development Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) ( 318104-3 ); The National Research Foundation of Korea (NRF) Grant funded by the Ministry of Science and ICT for First-Mover Program for Accelerating Disruptive Technology Development ( NRF-2018M3C1B9069834 ); The Cooperative Research Program for Agriculture Science and Technology Development, funded by Rural Development Administration (Project No. PJ014790022020 ); The National Research Council of Science & Technology (NST) grant by the Korea government (MSIP) (No. CPS-19-04-KRIBB ) and the KRIBB Initiative Research Program. Publisher Copyright: © 2020 Elsevier B.V.

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N2 - Current techniques for Gram-typing and for diagnosing a pathogen at the early infection stage rely on Gram stains, cultures, Enzyme linked immunosorbent assay (ELISA), polymerase chain reaction (PCR), and gene microarrays, which are labor-intensive and time-consuming approaches. In addition, a delayed or imprecise diagnosis of clinical pathogenic bacteria leads to a life-threatening emergency or overuse of antibiotics and a high-rate occurrence of antimicrobial-resistance microbes. Herein, we report high-performance antibiotics (as bioprobes) conjugated graphene micropattern field-effect transistors (ABX-GMFETs) to facilitate on-site Gram-typing and help in the detection of the presence or absence of Gram-negative and -positive bacteria in the samples. The ABX-GMFET platform, which consists of recognition probes and GM transistors conjugated with novel interfacing chemical compounds, was integrated into the microfluidics to minimize the required human intervention and facilitate automation. The mechanism of binding of ABX-GMFET was based on a charge or chemical moiety interaction between the bioprobes and target bacteria. Subsequently, ABX-GMFETs exhibited unprecedented high sensitivity with a limit of detection (LOD) of 100 CFU/mL (1–9 CFU/mL), real-time target specificity.

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High-performance portable graphene field-effect transistor device for detecting Gram-positive and -negative bacteria

Abstract

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