Evidence map›Paper›PMID 40061363›Full record

ArticleEnvironmental and occupational health practice2024

Real-time monitoring of the work environment using ion-mobility spectrometry.

Kazunari Takaya, Nobuyuki Shibata, Masayoshi Hagiwara, Mitsutoshi Takaya, Shiro Matoba

Abstract read
In one paragraph

Article in Environmental and occupational health practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kazunari TakayaNational Institute of Occupational Safety and Health, Kawasaki, Japan.ORCID https://orcid.org/0000-0003-4222-550X
Nobuyuki ShibataNational Institute of Occupational Safety and Health, Kawasaki, Japan.
Masayoshi HagiwaraNational Institute of Occupational Safety and Health, Kawasaki, Japan.
Mitsutoshi TakayaNational Institute of Occupational Safety and Health, Kawasaki, Japan.
Shiro MatobaHigh Energy Accelerator Research Organization, KEK, Ibaraki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Ion-mobility spectrometry (IMS) is a promising system for on-site real-time monitoring of volatile organic compounds (VOCs). Calibration curves derived from shifts in nominal arrival-time spectra of chemical substances relative to those of water clusters enable quantitative analysis at high concentrations. Methods: This study investigated the adaptability of IMS to real-time monitoring of VOCs in the work environment, using toluene as a test case. Toluene concentrations were measured by IMS at one-minute intervals during a ten-minute simulated cleaning operation. Results: The arrival-time shift was lower at high concentrations because ion production saturates as the toluene concentration approaches the limit of ionizability, with a resulting decrease in slope of the calibration curve. The lower limit of quantification for toluene was assumed to be 13.3 ppm because no arrival-time shift was observed at lower concentrations. The time-averaged toluene concentration measured by IMS for 10 minutes of operation was 45.8 ppm, which is comparable to that measured by gas chromatography-mass spectrometry (GC-MS; 44.3 ppm) within ~3%. Conclusions: Our results indicate that the measurement of toluene concentrations is possible at one-minute intervals by IMS, making it possible to track rapid changes in workplace conditions. Therefore, IMS can measure exposure to VOCs in real-time with an accuracy similar to that of GC-MS.

Indexed as

arrival-time shiftion-mobility spectrometryreal-time monitoring

Identifiers

PMID40061363
PMCPMC11841791

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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.