Evidence map›Paper›PMID 36365859›Full record

ArticleSensors (Basel, Switzerland)2022

Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories.

Mohammed Faeik Ruzaij Al-Okby, Thomas Roddelkopf, Heidi Fleischer, Kerstin Thurow

Open access · goldAbstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 3 institutions in 2 countries.

Mohammed Faeik Ruzaij Al-OkbyTechnical Institute of Babylon, Al-Furat Al-Awsat Technical University (ATU), Kufa 54003, Iraq.ORCID 0000-0001-8084-6361
Thomas RoddelkopfInstitute of Automation, University of Rostock, 18119 Rostock, Germany.
Heidi FleischerInstitute of Automation, University of Rostock, 18119 Rostock, Germany.ORCID 0000-0001-9491-1224
Kerstin ThurowCenter for Life Science Automation (celisca), University of Rostock, 18119 Rostock, Germany.ORCID 0000-0002-3281-1065
Institute of Automation · DEAl-Furat Al-Awsat Technical University · IQUniversity of Rostock · DE

Funding

European Research Council 856405
6 · The paper itself

Abstract

Air pollution and leakages of hazardous and toxic gases and chemicals are among the dangers that frequently occur at automated chemical and life science laboratories. This type of accident needs to be processed as soon as possible to avoid the harmful side effects that can happen when a human is exposed. Nitrogen oxides and volatile organic compounds are among the most prominent indoor air pollutants, which greatly affect the lifestyles in these places. In this study, a commercial MOX gas sensor, SGP41, was embedded in an IoT environmental sensor node for hazardous gas detection and alarm. The sensor can detect several parameters, including nitrogen oxide index (NOx-Index) and volatile organic compound index (VOC-Index). Several tests were conducted to detect the leakage of nitrogen oxides and volatile organic compounds in different concentrations and volumes, as well as from different leakage distances, to measure the effect of these factors on the response speed and recovery time of the sensors used. These factors were also compared between the different sensors built into the sensor node to give a comprehensive picture of the system used. The system testing results revealed that the SGP41 sensor is capable of implementing the design purposes for the target parameters, can detect a small NO

Indexed as

Air PollutantsBiological Science DisciplinesVolatile Organic CompoundsEnvironmental MonitoringGasesHumansLaboratoriesNitrogen OxidesAir PollutantsGasesNitrogen OxidesVolatile Organic Compoundsgas sensorshazardous gasesindoor air quality (IAQ)internet of things (IoT)nitrogen oxide index (NOx-Index)volatile organic compounds index (VOC-index)

Identifiers

PMID36365859
PMCPMC9654358
OpenAlexW4307280172

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.