Evidence map›Paper›PMID 33114971›Full record

ArticleOptics express2020

7X multiplexed, optofluidic detection of nucleic acids for antibiotic-resistance bacterial screening.

G G Meena, T A Wall, M A Stott, O Brown, R Robison, A R Hawkins, H Schmidt

Abstract read
In one paragraph

Article in Optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Optofluidic multiplex detection of single SARS-CoV-2 and influenza A antigens using a novel bright fluorescent probe assay.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Optofluidic Flow-Through Biosensor Sensitivity - Model and Experiment.Journal of lightwave technology : a joint IEEE/OSA publication · 2021
    Article
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

7 authors.

G G Meena
T A Wall
M A Stott
O Brown
R Robison
A R Hawkins
H Schmidt

Funding

Multiplexed, Non-Amplified, Nucleic Acid-Based Identification of Multidrug Resistant Pathogens Using an Integrated Optofluidic PlatformR01AI116989 · NIAID · BRIGHAM YOUNG UNIVERSITY · PI HAWKINS, AARON R., PITT, WILLIAM G · 2015 to 2019
$5.4M
Hybrid integrated molecular analysis (HIMAS) for point-of-care diagnosticsR33AI100229 · NIAID · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI SCHMIDT, HOLGER · 2014 to 2016
$1.7M
NIAID NIH HHS R01 AI116989NIAID NIH HHS R33 AI100229
6 · The paper itself

Abstract

Rapid and accurate diagnosis of bacterial infections resistant to multiple antibiotics requires development of new bio-sensors for differentiated detection of multiple targets. This work demonstrates 7x multiplexed detection for antibiotic-resistance bacterial screening on an optofluidic platform. We utilize spectrally multiplexed multi-spot excitation for simultaneous detection of nucleic acid strands corresponding to bacterial targets and resistance genes. This is enabled by multi-mode interference (MMI) waveguides integrated in an optofluidic device. We employ a combinatorial three-color labeling scheme for the nucleic acid assays to scale up their multiplexing capability to seven different nucleic acids, representing three species and four resistance genes.

Indexed as

Nucleic Acid Amplification TechniquesAnti-Bacterial AgentsBacterial ProteinsDNA, BacterialDrug Resistance, BacterialEnterobacter aerogenesEscherichia coliKlebsiella pneumoniaeLab-On-A-Chip DevicesMicrobial Sensitivity TestsOptical DevicesAnti-Bacterial AgentsBacterial ProteinsDNA, Bacterial

Identifiers

PMID33114971
PMCPMC7679188

What OpenQuestion holds

Textmetadata
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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.