Evidence map›Paper›PMID 42515421›Full record

ArticleSensors (Basel, Switzerland)2026

Magneto-Optical Surface Plasmon Resonance Multi-Spot Assay for Identification and Quantification of Gaseous Compounds at Room Temperature.

Sorin David, Cristina Polonschii, Elena Gabriela Cocos-Barbu, Dumitru Bratu, Eugen Gheorghiu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

5 authors.

Sorin DavidInternational Centre of Biodynamics, Intrarea Portocalelor 1B, Sector 6, 060101 Bucharest, Romania.ORCID 0000-0002-9737-090X
Cristina PolonschiiInternational Centre of Biodynamics, Intrarea Portocalelor 1B, Sector 6, 060101 Bucharest, Romania.ORCID 0000-0002-5647-7743
Elena Gabriela Cocos-BarbuFaculty of Medical Engineering, University Politehnica of Bucharest, Splaiul Independenţei nr. 313, Sector 6, 060042 Bucharest, Romania.
Dumitru BratuInternational Centre of Biodynamics, Intrarea Portocalelor 1B, Sector 6, 060101 Bucharest, Romania.
Eugen GheorghiuInternational Centre of Biodynamics, Intrarea Portocalelor 1B, Sector 6, 060101 Bucharest, Romania.

Funding

Ministerul Cercetării și Inovării PNRR-III-C9-2023 - I8_2nd round (Biosense, 760279)Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii ERANET-M (SmartMatter, 173)Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii ERANET Permed (POC4Allergies, 138)Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii PN-III-P2-2.1-PED-2021-3090Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii PN-III-P4-ID-PCE-2020-1433
6 · The paper itself

Abstract

Rapid room-temperature identification of gases and volatile organic compounds remains challenging for compact sensing platforms, particularly when chemically related analytes must be discriminated using accessible sensing materials. In this work, we evaluate whether magneto-optical surface plasmon resonance (MOSPR), combined with multi-spot sensing and conventional SPR readout from the same chip, can provide complementary response features for improved gas/VOC discrimination. The sensing spots are made from accessible chemicals and nanoparticles with plasmonic and magnetic properties. The sensor chip consists of a multilayer structure of metallic materials with both plasmonic and magnetic properties featuring enhanced sensitivity and stability. Measurements are made using a custom-built MOSPR instrument at relevant analyte concentrations. Analyte-specific sensor channels were selected for concentration-dependent calibration while the complete multivariate data were first explored using principal component analysis for supervised analyte classification. The combined 16-feature MOSPR/SPR model achieved an overall accuracy of 88.3% and a balanced accuracy of 87.6% under leave-one-concentration-block-out cross-validation compared with 66.2% and 65.7%, respectively, for the SPR measurement alone. These results show that MOSPR provides response information that encompasses and extends that obtained from conventional SPR measurements, thereby improving analyte discrimination. The proposed approach may provide a basis for future environmental monitoring and industrial process control, including real-time monitoring of harmful gaseous emissions pending further validation under application-specific conditions.

Indexed as

gas sensingmagneto-optical surface plasmon resonancemagneto-plasmonic sensorsmulti-spot assayprincipal component analysisshrinkage linear discriminant analysissurface plasmon resonancevolatile organic compounds

Identifiers

PMID42515421
PMCPMC13417457

What Socratic 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 Socratic graph.