Evidence map›Paper›PMID 40732396›Full record

ArticleSensors (Basel, Switzerland)2025

High Sensitivity Online Sensor for BTEX in Ambient Air Based on Multiphoton Electron Extraction Spectroscopy.

Uriah H Sharon, Lea Birkan, Valery Bulatov, Roman Schuetz, Tikhon Filippov, Israel Schechter

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

6 authors.

Uriah H SharonSchulich Faculty of Chemistry, Technion-Israel Institute of Technology, Haifa 32000, Israel.ORCID 0009-0008-1045-7019
Lea BirkanSchulich Faculty of Chemistry, Technion-Israel Institute of Technology, Haifa 32000, Israel.ORCID 0009-0003-0786-7635
Valery BulatovSchulich Faculty of Chemistry, Technion-Israel Institute of Technology, Haifa 32000, Israel.
Roman SchuetzSchulich Faculty of Chemistry, Technion-Israel Institute of Technology, Haifa 32000, Israel.ORCID 0000-0002-7277-3964
Tikhon FilippovSchulich Faculty of Chemistry, Technion-Israel Institute of Technology, Haifa 32000, Israel.ORCID 0000-0002-8266-9749
Israel SchechterSchulich Faculty of Chemistry, Technion-Israel Institute of Technology, Haifa 32000, Israel.

Funding

Technion - Israel Institute of Technology Internal Fund
6 · The paper itself

Abstract

Benzene, toluene, ethylbenzene, and xylene (BTEX) are widespread volatile organic compounds commonly present in fuels and various industrial materials. Their release into the atmosphere significantly contributes to air pollution, prompting strict regulatory concentration limits in ambient air. In this work, we introduce Multiphoton Electron Extraction Spectroscopy (MEES) as an innovative technique for the sensitive, selective, and online detection and quantitation of BTEX compounds under ambient conditions. MEES employs tunable UV laser pulses to induce the resonant ionization of target molecules under a high electrical field, with subsequent measurement of the generated photocurrent. We now demonstrate the method's ability to detect BTEX in ambient air, at part-per-trillion (ppt) concentration range, providing distinct spectral signatures for each compound, including individual xylene isomers. The technique represents a significant advancement in BTEX monitoring, with potential applications in environmental sensing and industrial air quality control.

Indexed as

BTEXelectronic nose (e-nose)environmental monitoringgas-phase MEESgas trace detectionmultiphoton electron extraction spectroscopytrace gas analysisVOC

Identifiers

PMID40732396
PMCPMC12300440

What OpenQuestion holds

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Registered trials

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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.