Evidence map›Paper›PMID 38676118›Full record

ArticleSensors (Basel, Switzerland)2024

Easy-to-Use MOX-Based VOC Sensors for Efficient Indoor Air Quality Monitoring.

Radu Nicolae Pietraru, Maximilian Nicolae, Ștefan Mocanu, Daniel-Marian Merezeanu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Radu Nicolae PietraruFaculty of Automatic Control and Computers, National University of Science and Technology Politehnica Bucharest, 060042 București, Romania.ORCID 0000-0002-6986-5163
Maximilian NicolaeFaculty of Automatic Control and Computers, National University of Science and Technology Politehnica Bucharest, 060042 București, Romania.
Ștefan MocanuFaculty of Automatic Control and Computers, National University of Science and Technology Politehnica Bucharest, 060042 București, Romania.ORCID 0000-0001-6427-0729
Daniel-Marian MerezeanuFaculty of Automatic Control and Computers, National University of Science and Technology Politehnica Bucharest, 060042 București, Romania.ORCID 0009-0009-3691-5273

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research paper presents a case study on the application of Metal Oxide Semiconductor (MOX)-based VOC/TVOC sensors for indoor air quality (IAQ) monitoring. This study focuses on the ease of use and the practical benefits of these sensors, drawing insights from measurements conducted in a university laboratory setting. The investigation showcases the straightforward integration of MOX-based sensors into existing IAQ monitoring systems, highlighting their user-friendly features and the ability to provide precise and real-time information on volatile organic compound concentrations. Emphasizing ease of installation, minimal maintenance, and immediate data accessibility, this paper demonstrates the practicality of incorporating MOX-based sensors for efficient IAQ management. The findings contribute to the broader understanding of MOX sensor capabilities, providing valuable insights for those seeking straightforward and effective solutions for indoor air quality monitoring. This case study outlines the feasibility and benefits of utilizing MOX-based sensors in various environments, offering a promising avenue for the widespread adoption of user-friendly technologies in IAQ management.

Indexed as

IAQ monitoringlow-cost sensorsMOX-based sensorssensor testingVOC sensors

Identifiers

PMID38676118
PMCPMC11054856

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.