Evidence map›Paper›PMID 32350139›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

All-electrical monitoring of bacterial antibiotic susceptibility in a microfluidic device.

Yichao Yang, Kalpana Gupta, Kamil L Ekinci

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
8.4field-weighted citation impact, top 1% 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

25 citing papers in PubMed, 86 citations in OpenAlex.

  1. Review
  2. Article
  3. Advancements in AI-driven drug sensitivity testing research.Frontiers in cellular and infection microbiology · 2025
    Review
  4. Single-Cell Microfluidics: A Primer for Microbiologists.The journal of physical chemistry. B · 2024
    Review
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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

3 authors at 1 institution in 1 country.

Yichao YangDepartment of Mechanical Engineering, Division of Materials Science and Engineering, Boston University, Boston, MA 02215.ORCID 0000-0002-2896-574X
Kalpana GuptaDepartment of Medicine, Section of Infectious Diseases, Veterans Affairs Boston Healthcare System, Boston, MA 02132.ORCID 0000-0002-6766-3576
Kamil L EkinciDepartment of Mechanical Engineering, Division of Materials Science and Engineering, Boston University, Boston, MA 02215; ekinci@bu.edu.ORCID 0000-0002-5019-5489
Boston University · US

Funding

A Rapid and Sensitive Antibiotic Susceptibility Test for Urinary Tract InfectionsR21AI133264 · NIAID · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI EKINCI, KAMIL · 2018 to 2019
$454k
Exploring Nanomechanical Fluctuations of Surface-Adhered Bacteria for a Novel Antibiotic Susceptibility TestR03AI126168 · NIAID · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI EKINCI, KAMIL · 2016 to 2017
$165k
NIAID NIH HHS R03 AI126168NIAID NIH HHS R21 AI133264
6 · The paper itself

Abstract

The lack of rapid antibiotic susceptibility tests adversely affects the treatment of bacterial infections and contributes to increased prevalence of multidrug-resistant bacteria. Here, we describe an all-electrical approach that allows for ultrasensitive measurement of growth signals from only tens of bacteria in a microfluidic device. Our device is essentially a set of microfluidic channels, each with a nanoconstriction at one end and cross-sectional dimensions close to that of a single bacterium. Flowing a liquid bacteria sample (e.g., urine) through the microchannels rapidly traps the bacteria in the device, allowing for subsequent incubation in drugs. We measure the electrical resistance of the microchannels, which increases (or decreases) in proportion to the number of bacteria in the microchannels. The method and device allow for rapid antibiotic susceptibility tests in about 2 h. Further, the short-time fluctuations in the electrical resistance during an antibiotic susceptibility test are correlated with the morphological changes of bacteria caused by the antibiotic. In contrast to other electrical approaches, the underlying geometric blockage effect provides a robust and sensitive signal, which is straightforward to interpret without electrical models. The approach also obviates the need for a high-resolution microscope and other complex equipment, making it potentially usable in resource-limited settings.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialElectric ImpedanceKlebsiella pneumoniaeMicrobial Sensitivity TestsMicrofluidicsAnti-Bacterial Agentsantibiotic resistanceantibiotic susceptibility testinggrowth and morphologymicrofluidics

Identifiers

PMID32350139
PMCPMC7245095
OpenAlexW3023332723

What OpenQuestion holds

Textmetadata
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.