Evidence map›Paper›PMID 32174552›Full record

ArticleBiosensors & bioelectronics2020

Dielectrophoresis assisted rapid, selective and single cell detection of antibiotic resistant bacteria with G-FETs.

Narendra Kumar, Wenjian Wang, Juan C Ortiz-Marquez, Matthew Catalano, Mason Gray, Nadia Biglari, Kitadai Hikari, Xi Ling, Jianmin Gao, Tim van Opijnen and 1 more

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
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  7. 2D Materials in Advanced Electronic Biosensors for Point-of-Care Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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  16. Tutorial on Lateral Dielectrophoretic Manipulations in Microfluidic Systems.IEEE transactions on biomedical circuits and systems · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Narendra KumarDepartment of Physics, Boston College, Chestnut Hill, MA, 02467, United States.
Wenjian WangDepartment of Chemistry, Boston College, Chestnut Hill, MA, 02467, United States.
Juan C Ortiz-MarquezDepartment of Biology, Boston College, Chestnut Hill, MA, 02467, United States.
Matthew CatalanoDepartment of Physics, Boston College, Chestnut Hill, MA, 02467, United States.
Mason GrayDepartment of Physics, Boston College, Chestnut Hill, MA, 02467, United States.
Nadia BiglariDepartment of Physics, Boston College, Chestnut Hill, MA, 02467, United States.
Kitadai HikariDepartment of Chemistry, Boston University, Boston, MA, 02215, United States.
Xi LingDepartment of Chemistry, Boston University, Boston, MA, 02215, United States; Division of Materials Science and Engineering, Boston University, Boston, MA, 02214, United States; The Photonics Center, Boston University, Boston, MA, 02214, United States.
Jianmin GaoDepartment of Chemistry, Boston College, Chestnut Hill, MA, 02467, United States. Electronic address: gaojc@bc.edu.
Tim van OpijnenDepartment of Biology, Boston College, Chestnut Hill, MA, 02467, United States. Electronic address: vanopijn@bc.edu.
Kenneth S BurchDepartment of Physics, Boston College, Chestnut Hill, MA, 02467, United States. Electronic address: ks.burch@bc.edu.
Boston College · USBoston University · US

Funding

Predicting the emergence of antibiotic resistance through multi-omics approaches and Immune System-surveillanU01AI124302 · NIAID · BOSTON COLLEGE · PI BENTO, JOSE, COOPER, VAUGHN · 2016 to 2020
$10.2M
Targeted Modification of Membrane LipidsR01GM102735 · NIGMS · BOSTON COLLEGE · PI GAO, JIANMIN · 2012 to 2021
$2.5M
The bacterial response to antibiotics and the evolution of antibiotic resistanceR01AI110724 · NIAID · BOSTON COLLEGE · PI VAN OPIJNEN, TIM · 2015 to 2019
$2.0M
Novel Phage Display Platforms to Overcome Colistin ResistanceR01GM124231 · NIGMS · BOSTON COLLEGE · PI GAO, JIANMIN · 2019 to 2022
$1.2M
NIAID NIH HHS R01 AI110724NIAID NIH HHS U01 AI124302NIGMS NIH HHS R01 GM102735NIGMS NIH HHS R01 GM124231
6 · The paper itself

Abstract

The rapid increase in antibiotic resistant pathogenic bacteria has become a global threat, which besides the development of new drugs, requires rapid, cheap, scalable, and accurate diagnostics. Label free biosensors relying on electrochemical, mechanical, and mass based detection of whole bacterial cells have attempted to meet these requirements. However, the trade-off between selectivity and sensitivity of such sensors remains a key challenge. In particular, point-of-care diagnostics that are able to reduce and/or prevent unneeded antibiotic prescriptions require highly specific probes with sensitive and accurate transducers that can be miniaturized and multiplexed, and that are easy to operate and cheap. Towards achieving this goal, we present a number of advances in the use of graphene field effect transistors (G-FET) including the first use of peptide probes to electrically detect antibiotic resistant bacteria in a highly specific manner. In addition, we dramatically reduce the needed concentration for detection by employing dielectrophoresis for the first time in a G-FET, allowing us to monitor changes in the Dirac point due to individual bacterial cells. Specifically, we realized rapid binding of bacterial cells to a G-FET by electrical field guiding to the device to realize an overall 3 orders of magnitude decrease in cell-concentration enabling a single-cell detection limit, and 9-fold reduction in needed time to 5 min. Utilizing our new biosensor and procedures, we demonstrate the first selective, electrical detection of the pathogenic bacterial species Staphylococcus aureus and antibiotic resistant Acinetobacter baumannii on a single platform.

Indexed as

Drug Resistance, BacterialTransistors, ElectronicAcinetobacter baumanniiAnti-Bacterial AgentsBacteriaBacterial InfectionsBiosensing TechniquesEquipment DesignHumansSingle-Cell AnalysisStaphylococcus aureusAnti-Bacterial AgentsAntibiotic resistance bacteriaBiosensorsDielectrophoresisElectrical detectionG-FETPeptide probes

Identifiers

PMID32174552
PMCPMC7219479
OpenAlexW3008581517

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.