Evidence map›Paper›PMID 39943533›Full record

ArticleSensors (Basel, Switzerland)2025

Detailed Modeling of Surface-Plasmon Resonance Spectrometer Response for Accurate Correction.

Ricardo David Araguillin-López, Angel Dickerson Méndez-Cevallos, César Costa-Vera

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

3 authors.

Ricardo David Araguillin-LópezDepartamento de Automatización y Control Industrial, Escuela Politécnica Nacional, Quito 170525, Ecuador.ORCID 0000-0003-1322-2254
Angel Dickerson Méndez-CevallosMass Spectrometry and Optical Spectroscopy Group, Departamento Física, Escuela Politécnica Nacional, Quito 170525, Ecuador.ORCID 0009-0000-0604-909X
César Costa-VeraMass Spectrometry and Optical Spectroscopy Group, Departamento Física, Escuela Politécnica Nacional, Quito 170525, Ecuador.ORCID 0000-0001-5242-1892

Funding

Alexander von Humboldt Foundation, Bonn, GermanyEscuela Politécnica Nacional, Ecuador
6 · The paper itself

Abstract

This work identifies and models the inline devices in an experimental surface-plasmon resonance spectroscopy setup to determine the system's transfer function. This allows for the comparison of theoretical and experimental responses and the analysis of the dynamics of the components of an analyte placed on the sensor at the nanometer scale. The transfer functions of individual components, including the light source, polarizers, spectrometer, optical fibers, and the SPR sensor, were determined experimentally and theoretically. The theoretical model employed Planck's law for the light source, manufacturer specifications for some components, and experimental characterization for others, such as the polarizers and optical fibers. The SPR sensor was modeled using characteristic matrix theory, incorporating the optical constants of the prism, gold film, chromium adhesive layer, and analyte. The combined transfer functions created a comprehensive model of the entire experimental system. This model successfully reproduced the experimental SPR spectrum with a similarity greater than 95%. The system's operational range was also extended, constrained by the signal-to-noise ratio at the spectrum's edges. The detailed model allows for the accurate correction of the measured spectra, which will be essential for the further analysis of nanosuspensions and molecules dissolved in liquids.

Indexed as

Kretschmann configurationmodelingspectroscopysurface-plasmon resonancetransfer function

Identifiers

PMID39943533
PMCPMC11819726

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.