Evidence map›Paper›PMID 35336553›Full record

ArticleSensors (Basel, Switzerland)2022

A Low-Cost, 3D-Printed Biosensor for Rapid Detection of

Samir Malhotra, Dang Song Pham, Michael P H Lau, Anh H Nguyen, Hung Cao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

5 authors.

Samir MalhotraDepartment of Biomedical Engineering, University of California, Irvine, CA 92697, USA.
Dang Song PhamDepartment of Biomedical Engineering, University of California, Irvine, CA 92697, USA.ORCID 0000-0003-0264-2261
Michael P H LauSensoriis, Inc., Edmonds, WA 98026, USA.
Anh H NguyenSensoriis, Inc., Edmonds, WA 98026, USA.
Hung CaoDepartment of Biomedical Engineering, University of California, Irvine, CA 92697, USA.ORCID 0000-0003-4197-7208

Funding

NIH SBIR grant #R44OD024874NSF CAREER Award #1917105 (H.C.)
6 · The paper itself

Abstract

Detection of bacterial pathogens is significant in the fields of food safety, medicine, and public health, just to name a few. If bacterial pathogens are not properly identified and treated promptly, they can lead to morbidity and mortality, also possibly contribute to antimicrobial resistance. Current bacterial detection methodologies rely solely on laboratory-based techniques, which are limited by long turnaround detection times, expensive costs, and risks of inadequate accuracy; also, the work requires trained specialists. Here, we describe a cost-effective and portable 3D-printed electrochemical biosensor that facilitates rapid detection of certain

Indexed as

Biosensing TechniquesEscherichia coliBacteriaLimit of DetectionPrinting, Three-Dimensionalbiosensorcyclic voltammetry (CV)electrochemistryelectrodeEscherichia coli (E. coli)ferrocenethyroxine

Identifiers

PMID35336553
PMCPMC8953795

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.