Evidence map›Paper›PMID 34203284›Full record

ArticleSensors (Basel, Switzerland)2021

The Effect of Various Parameters on a Portable Sensor for the Detection of Thin Biofilms in Water Pipes.

Sachin Davis, Nathan Salowitz, Lucas Beversdorf, Marcia R Silva

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Sachin DavisWater Technology Accelerator (WaTA), University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
Nathan SalowitzDepartment of Mechanical Engineering, College of Engineering and Applied Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.ORCID 0000-0001-8294-4483
Lucas BeversdorfMilwaukee Water Works, Milwaukee, WI 53211, USA.
Marcia R SilvaWater Technology Accelerator (WaTA), University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.ORCID 0000-0002-3575-2291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of high-frequency strain waves to perform examinations and note measurements is referred to as ultrasonic testing (UT). UT is commonly used for the detection or evaluation of flaws and characterization of materials, among other applications. A standard ultrasonic inspection system comprises a pulser/receiver, transducer, and display devices. The pulser/receiver produces electrical pulses of high voltage. The transducer generates high-frequency ultrasonic energy after being driven by the pulser. The reflected wave is then converted into an electrical signal by the transducer and is displayed on a screen. The reflected signal strength versus the time plot helps to glean information regarding the features of a defect. In this paper, we discuss the experiments performed in a laboratory setting to determine ultrasound-based biofilm sensor sensitivity in relation to changes in the surrounding environment of temperature, concentration, turbidity, and conductivity of the liquid passing through the system. The effect of the change in frequency of the sensors was also studied. The sensors being developed are small and compact, portable, can be placed on the outer walls of the desired surface, use digital signal processing techniques, and the biofilm presence on the inner walls of the surface can be monitored.

Indexed as

Water Pipe SmokingBiofilmsSignal Processing, Computer-AssistedTransducersUltrasonographybiofilmnon-destructivenon-invasiveportable sensorssensor systemssystem

Identifiers

PMID34203284
PMCPMC8271626

What OpenQuestion holds

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LicenceCC BY
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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.