ReviewSensors (Basel, Switzerland)2019
A Review of Methods for Fibre-Optic Distributed Chemical Sensing.
Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Comprehensive Analysis of FBG and Distributed Rayleigh, Brillouin, and Raman Optical Sensor-Based Solutions for Road Infrastructure Monitoring Applications.Sensors (Basel, Switzerland) · 2025Review
- Novel Approach to Phase-Sensitive Optical Time-Domain Reflectometry Response Analysis with Machine Learning Methods.Sensors (Basel, Switzerland) · 2024Article
- A Simple Optical Sensor Based on Multimodal Interference Superimposed on Additive Manufacturing for Diameter Measurement.Sensors (Basel, Switzerland) · 2022Article
- Double-Clad Fiber-Based Multifunctional Biosensors and Multimodal Bioimaging Systems: Technology and Applications.Biosensors · 2022Review
- A Review of Optical Fibre Ethanol Sensors: Current State and Future Prospects.Sensors (Basel, Switzerland) · 2022Review
- Article
- Fabrication of Optical Fibers with Multiple Coatings for Swelling-Based Chemical Sensing.Micromachines · 2021Article
- All Silica Micro-Fluidic Flow Injection Sensor System for Colorimetric Chemical Sensing.Sensors (Basel, Switzerland) · 2021Article
- A Survey on Distributed Fibre Optic Sensor Data Modelling Techniques and Machine Learning Algorithms for Multiphase Fluid Flow Estimation.Sensors (Basel, Switzerland) · 2021Review
- Swelling-Based Distributed Chemical Sensing with Standard Acrylate Coated Optical Fibers.Sensors (Basel, Switzerland) · 2021Article
- Strain Transfer Characteristics of Multi-Layer Optical Fiber Sensors with Temperature-Dependent Properties at Low Temperature.Sensors (Basel, Switzerland) · 2021Article
- Development and Characterization of UV-Resin Coated Fiber Bragg Gratings.Sensors (Basel, Switzerland) · 2020Article
- Distributed Fiberoptic Sensor for Simultaneous Humidity and Temperature Monitoring Based on Polyimide-Coated Optical Fibers.Sensors (Basel, Switzerland) · 2019Article
- Corrosion Sensors for Structural Health Monitoring of Oil and Natural Gas Infrastructure: A Review.Sensors (Basel, Switzerland) · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Chemical sensing is of great importance in many application fields, such as medicine, environmental monitoring, and industrial process control. Distributed fibre-optic sensing received significant attention because of its unique feature to make spatially resolved measurements along the entire fibre. Distributed chemical sensing (DCS) is the combination of these two techniques and offers potential solutions to real-world applications that require spatially dense chemical measurements covering large length scales. This paper presents a review of the working principles, current status, and the emerging trends within DCS.
Indexed as
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.