Evidence map›Paper›PMID 42326844›Full record

ArticleACS measurement science au2026

A Compact Multiplexed Hazardous Gas Sensing Platform for Real-Time Monitoring in Mining Scenarios.

Diandra Nunes Barreto, Danielle da Silva Sousa, Lisa Walter, Renan Kobal de Oliveira Alves Cardoso, Fahd Al-Seba'ey, David Gache, João Flávio da Silveira Petruci, Boris Mizaikoff

Abstract read
In one paragraph

Article in ACS measurement science au, 2026. 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

8 authors.

Diandra Nunes BarretoUlm University, Institute of Analytical and Bioanalytical Chemistry, Ulm 89081, Germany.
Danielle da Silva SousaUlm University, Institute of Analytical and Bioanalytical Chemistry, Ulm 89081, Germany.ORCID https://orcid.org/0000-0002-6003-7302
Lisa WalterUlm University, Institute of Analytical and Bioanalytical Chemistry, Ulm 89081, Germany.
Renan Kobal de Oliveira Alves CardosoUlm University, Institute of Analytical and Bioanalytical Chemistry, Ulm 89081, Germany.
Fahd Al-Seba'eyUlm University, Institute of Analytical and Bioanalytical Chemistry, Ulm 89081, Germany.
David GacheAlpes Lasers, Avenue des Pâquiers 1, St-Blaise 2072, Switzerland.
João Flávio da Silveira PetruciFederal University of Uberlândia (UFU), Institute of Chemistry, Uberlândia, MG 38400-902, Brazil.ORCID https://orcid.org/0000-0003-1121-2503
Boris MizaikoffUlm University, Institute of Analytical and Bioanalytical Chemistry, Ulm 89081, Germany.ORCID https://orcid.org/0000-0002-5583-7962

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The determination of hazardous gases in confined environments, such as underground mines, is essential for ensuring suitable occupational health conditions. Although gas chromatography coupled with mass spectrometry (GC-MS) is the gold-standard analytical technique for gas analysis, its application is not feasible in this context due to the bulkiness of the instrumentation and the inability to provide real-time responses. Alternative low-cost sensing techniques, such as metal oxide semiconductors (MOXs), are limited by low molecular selectivity, susceptibility to humidity interference, and long-term instability. Herein, we propose an integrated and compact analytical platform that combines multiple quantum-cascade lasers (QCLs) with substrate-integrated hollow waveguides (iHWGs) acting as miniaturized gas cells for the real-time quantification of hazardous gases, including SO

Indexed as

laser-based spectroscopymid-infraredminiaturizationquantum cascade lasersreal-time sensorssubstrate-integrated hollow waveguides

Identifiers

PMID42326844
PMCPMC13281196

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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.