Evidence map›Paper›PMID 37896494›Full record

ArticleSensors (Basel, Switzerland)2023

Differential Evolution Particle Swarm Optimization for Phase-Sensitivity Enhancement of Surface Plasmon Resonance Gas Sensor Based on MXene and Blue Phosphorene/Transition Metal Dichalcogenide Hybrid Structure.

Chong Yue, Yueqing Ding, Lei Tao, Sen Zhou, Yongcai Guo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

5 authors.

Chong YueCollege of Optoelectronic Engineering, Chongqing University, Chongqing 400030, China.ORCID 0009-0002-8857-908X
Yueqing DingChongqing Academy of Metrology and Quality Inspection, Chongqing 401123, China.
Lei TaoChongqing Academy of Metrology and Quality Inspection, Chongqing 401123, China.
Sen ZhouChongqing Academy of Metrology and Quality Inspection, Chongqing 401123, China.
Yongcai GuoCollege of Optoelectronic Engineering, Chongqing University, Chongqing 400030, China.

Funding

Chongqing Market Supervision and Administration Science and Technology 318 Program CQSJKJ2022034Chongqing Scientific Institution Incentive Performance Guiding Special Projects CSTC2022jxj140002 and 317 CSTC2022jxj120036Nature Science Foundation of Chongqing,China CSTB2022NSCQ-BHX0736 and CSTB2022NSCQ-MSX1523SAMR Science and Technology Program 2022MK105
6 · The paper itself

Abstract

A differential evolution particle swarm optimization (DEPSO) is presented for the design of a high-phase-sensitivity surface plasmon resonance (SPR) gas sensor. The gas sensor is based on a bilayer metal film with a hybrid structure of blue phosphorene (BlueP)/transition metal dichalcogenides (TMDCs) and MXene. Initially, a Ag-BlueP/TMDCs-Ag-MXene heterostructure is designed, and its performance is compared with that of the conventional layer-by-layer method and particle swarm optimization (PSO). The results indicate that optimizing the thickness of the layers in the gas sensor promotes phase sensitivity. Specifically, the phase sensitivity of the DEPSO is significantly higher than that of the PSO and the conventional method, while maintaining a lower reflectivity. The maximum phase sensitivity achieved is 1.866 × 10

Indexed as

BlueP/TMDCsdifferential evolution particle swarm optimizationgas sensorMXenephase sensitivitysurface plasmon resonance

Identifiers

PMID37896494
PMCPMC10611094

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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.