Evidence map›Paper›PMID 26067193›Full record

ArticleSensors (Basel, Switzerland)2015

Design Procedure and Fabrication of Reproducible Silicon Vernier Devices for High-Performance Refractive Index Sensing.

Benedetto Troia, Ali Z Khokhar, Milos Nedeljkovic, Scott A Reynolds, Youfang Hu, Goran Z Mashanovich, Vittorio M N Passaro

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2015. 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. 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

7 authors.

Benedetto TroiaDepartment of Electrical and Information Engineering, Politecnico di Bari, Via E. Orabona 4, 70125 Bari, Italy. benedetto.troia@poliba.it.
Ali Z KhokharOptoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, UK. a.z.khokhar@soton.ac.uk.
Milos NedeljkovicOptoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, UK. m.nedeljkovic@soton.ac.uk.
Scott A ReynoldsOptoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, UK. s.reynolds@soton.ac.uk.
Youfang HuOptoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, UK. y.hu@soton.ac.uk.
Goran Z MashanovichOptoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, UK. g.mashanovich@soton.ac.uk.
Vittorio M N PassaroDepartment of Electrical and Information Engineering, Politecnico di Bari, Via E. Orabona 4, 70125 Bari, Italy. vittorio.passaro@poliba.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we propose a generalized procedure for the design of integrated Vernier devices for high performance chemical and biochemical sensing. In particular, we demonstrate the accurate control of the most critical design and fabrication parameters of silicon-on-insulator cascade-coupled racetrack resonators operating in the second regime of the Vernier effect, around 1.55 μm. The experimental implementation of our design strategies has allowed a rigorous and reliable investigation of the influence of racetrack resonator and directional coupler dimensions as well as of waveguide process variability on the operation of Vernier devices. Figures of merit of our Vernier architectures have been measured experimentally, evidencing a high reproducibility and a very good agreement with the theoretical predictions, as also confirmed by relative errors even lower than 1%. Finally, a Vernier gain as high as 30.3, average insertion loss of 2.1 dB and extinction ratio up to 30 dB have been achieved.

Indexed as

integrated waveguide sensorsoptical sensingsiliconVernier effect

Identifiers

PMID26067193
PMCPMC4507709

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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.