ArticleScientific reports2018
Opto-mechanical lab-on-fibre seismic sensors detected the Norcia earthquake.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Dual-fiber optical tweezers integrating high-sensitivity structured-light displacement measurement system on fiber end-face.Scientific reports · 2025Article
- Prototype Implementation of a Digitizer for Earthquake Monitoring System.Sensors (Basel, Switzerland) · 2024Article
- An Innovative Fiber-Optic Hydrophone for Seismology: Testing Detection Capacity for Very Low-Energy Earthquakes.Sensors (Basel, Switzerland) · 2023Article
- Innovative Photonic Sensors for Safety and Security, Part III: Environment, Agriculture and Soil Monitoring.Sensors (Basel, Switzerland) · 2023Review
- Optical Fiber Probe Microcantilever Sensor Based on Fabry-Perot Interferometer.Sensors (Basel, Switzerland) · 2022Review
- Sensors for Context-Aware Smart Healthcare: A Security Perspective.Sensors (Basel, Switzerland) · 2021Review
- 2D materials coated on etched optical fibers as humidity sensor.Scientific reports · 2021Article
- Highly sensitive multicore fiber accelerometer for low frequency vibration sensing.Scientific reports · 2020Article
- Lab-On-Fiber Technology: A Roadmap toward Multifunctional Plug and Play Platforms.Sensors (Basel, Switzerland) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We have designed and developed lab-on-fibre seismic sensors containing a micro-opto-mechanical cavity on the fibre tip. The mechanical cavity is designed as a double cantilever suspended on the fibre end facet and connected to a proof mass to tune its response. Ground acceleration leads to displacement of the cavity length, which in turn can be remotely detected using an interferometric interrogation technique. After the sensors characterization, an experimental validation was conducted at the Italian National Institute of Geophysics and Volcanology (INGV), which is responsible for seismic surveillance over the Italian country. The fabricated sensors have been continuously used for long periods to demonstrate their effectiveness as seismic accelerometer sensors. During the tests, fibre optic seismic accelerometers clearly detected the seismic sequence that culminated in the severe Mw6.5 Norcia earthquake that struck central Italy on October 30, 2016. The seismic data provided by the optical sensors were analysed by specialists at the INGV. The wave traces were compared with state-of-the-art traditional sensors typically incorporated into the INGV seismic networks. The comparison verifies the high fidelity of the optical sensors in seismic wave detection, indicating their suitability for a novel class of seismic sensors to be employed in practical scenarios.
Identifiers
What OpenQuestion holds
Registered trials
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.