Evidence map›Paper›PMID 33233578›Full record

ArticleSensors (Basel, Switzerland)2020

Widely-Tunable Quantum Cascade-Based Sources for the Development of Optical Gas Sensors.

Virginie Zéninari, Raphaël Vallon, Laurent Bizet, Clément Jacquemin, Guillaume Aoust, Grégory Maisons, Mathieu Carras, Bertrand Parvitte

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Virginie ZéninariUnité Mixte de Recherche 7331, Groupe de Spectrométrie Moléculaire et Atmosphérique, Centre National de la Recherche Scientifique, Université de Reims Champagne Ardenne, 51097 Reims, France.ORCID 0000-0003-2997-2359
Raphaël VallonUnité Mixte de Recherche 7331, Groupe de Spectrométrie Moléculaire et Atmosphérique, Centre National de la Recherche Scientifique, Université de Reims Champagne Ardenne, 51097 Reims, France.
Laurent BizetUnité Mixte de Recherche 7331, Groupe de Spectrométrie Moléculaire et Atmosphérique, Centre National de la Recherche Scientifique, Université de Reims Champagne Ardenne, 51097 Reims, France.
Clément JacqueminUnité Mixte de Recherche 7331, Groupe de Spectrométrie Moléculaire et Atmosphérique, Centre National de la Recherche Scientifique, Université de Reims Champagne Ardenne, 51097 Reims, France.
Guillaume AoustmirSense, Centre d'intégration NanoINNOV, 91120 Palaiseau, France.
Grégory MaisonsmirSense, Centre d'intégration NanoINNOV, 91120 Palaiseau, France.
Mathieu CarrasmirSense, Centre d'intégration NanoINNOV, 91120 Palaiseau, France.
Bertrand ParvitteUnité Mixte de Recherche 7331, Groupe de Spectrométrie Moléculaire et Atmosphérique, Centre National de la Recherche Scientifique, Université de Reims Champagne Ardenne, 51097 Reims, France.ORCID 0000-0002-9682-2409

Funding

Agence Nationale de la Recherche ANR-11-ASTR-0027Agence Nationale de la Recherche ANR-11-ECOT-0004Agence Nationale de la Recherche ANR-12-ASTR-0028
6 · The paper itself

Abstract

Spectroscopic techniques based on Distributed FeedBack (DFB) Quantum Cascade Lasers (QCL) provide good results for gas detection in the mid-infrared region in terms of sensibility and selectivity. The main limitation is the QCL relatively low tuning range (~10 cm

Indexed as

compliance voltage techniqueexternal-cavity systemsgas sensorsintra-cavity laser absorption spectroscopylaser spectroscopymid-infrared laser sourcesQCL arrayquantum cascade laserwidely tunable laser sources

Identifiers

PMID33233578
PMCPMC7699741

What OpenQuestion holds

Textmetadata
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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.