Evidence map›Paper›PMID 39940182›Full record

ReviewNanomaterials (Basel, Switzerland)2025

Functionalized Optical Microcavities for Sensing Applications.

Evelyn Granizo, Pavel Samokhvalov, Igor Nabiev

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Optofluidic Lens Refractometer.Micromachines · 2025
    Article
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.

Evelyn GranizoLaboratory of Optical Quantum Sensors, Life Improvement by Future Technologies (LIFT) Center, Skolkovo, 143025 Moscow, Russia.ORCID 0000-0001-5124-8290
Pavel SamokhvalovLaboratory of Optical Quantum Sensors, Life Improvement by Future Technologies (LIFT) Center, Skolkovo, 143025 Moscow, Russia.ORCID 0000-0002-2878-8376
Igor NabievLaboratory of Optical Quantum Sensors, Life Improvement by Future Technologies (LIFT) Center, Skolkovo, 143025 Moscow, Russia.ORCID 0000-0002-8391-040X

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2024-556Russian Science Foundation 23-75-30016
6 · The paper itself

Abstract

Functionalized optical microcavities constitute an emerging highly sensitive and highly selective sensing technology. By combining optical microcavities with novel materials, microcavity sensors offer exceptional precision, unlocking considerable potential for medical diagnostics, physical and chemical analyses, and environmental monitoring. The high capabilities of functionalized microcavities enable subwavelength light detection and manipulation, facilitating the precise detection of analytes. Furthermore, recent advancements in miniaturization have paved the way for their integration into portable platforms. For leveraging the potential of microcavity sensors, it is crucial to address challenges related to the need for increasing cost-effectiveness, enhancing selectivity and sensitivity, enabling real-time measurements, and improving fabrication techniques. New strategies include the use of advanced materials, the optimization of signal processing, hybrid design approaches, and the employment of artificial intelligence. This review outlines the key strategies toward enhancing the performance of optical microcavities, highlights their broad applicability across various fields, and discusses the challenges that should be overcome to unlock their full potential.

Indexed as

functionalizationoptical microcavitiessensing applications

Identifiers

PMID39940182
PMCPMC11820503

What OpenQuestion 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 OpenQuestion graph.