Evidence map›Paper›PMID 26262647›Full record

ArticleBiosensors2015

The Detection of Helicobacter hepaticus Using Whispering-Gallery Mode Microcavity Optical Sensors.

Mark E Anderson, Emily C O'Brien, Emily N Grayek, James K Hermansen, Heather K Hunt

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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  7. Biosensing by WGM Microspherical Resonators.Sensors (Basel, Switzerland) · 2016
    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

5 authors at 1 institution in 1 country.

Mark E AndersonDepartment of Biochemistry, University of Missouri, Columbia, MO 65211, USA. meawm4@mail.missouri.edu.
Emily C O'BrienDepartment of Bioengineering, University of Missouri, Columbia, MO 65211, USA. ecoqm9@mail.missouri.edu.
Emily N GrayekDepartment of Bioengineering, University of Missouri, Columbia, MO 65211, USA. engfg4@mail.missouri.edu.
James K HermansenDepartment of Bioengineering, University of Missouri, Columbia, MO 65211, USA. jkhf34@mail.missouri.edu.
Heather K HuntDepartment of Bioengineering, University of Missouri, Columbia, MO 65211, USA. hunthk@missouri.edu.
University of Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current bacterial detection techniques are relatively slow, require bulky instrumentation, and usually require some form of specialized training. The gold standard for bacterial detection is culture testing, which can take several days to receive a viable result. Therefore, simpler detection techniques that are both fast and sensitive could greatly improve bacterial detection and identification. Here, we present a new method for the detection of the bacteria Helicobacter hepaticus using whispering-gallery mode (WGM) optical microcavity-based sensors. Due to minimal reflection losses and low material adsorption, WGM-based sensors have ultra-high quality factors, resulting in high-sensitivity sensor devices. In this study, we have shown that bacteria can be non-specifically detected using WGM optical microcavity-based sensors. The minimum detection for the device was 1 × 10(4) cells/mL, and the minimum time of detection was found to be 750 s. Given that a cell density as low as 1 × 10(3) cells/mL for Helicobacter hepaticus can cause infection, the limit of detection shown here would be useful for most levels where Helicobacter hepaticus is biologically relevant. This study suggests a new approach for H. hepaticus detection using label-free optical sensors that is faster than, and potentially as sensitive as, standard techniques.

Indexed as

Biosensing TechniquesHelicobacter hepaticusHelicobacter InfectionsOptical DevicesSensitivity and Specificitybacterial detectionH. hepaticusmicrocavitiesoptical transducing mechanismssensors

Identifiers

PMID26262647
PMCPMC4600172
OpenAlexW1956026059

What OpenQuestion holds

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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.