Evidence map›Paper›PMID 37323412›Full record

ArticleACS omega2023

A Genetic Algorithm for Universal Optimization of Ultrasensitive Surface Plasmon Resonance Sensors with 2D Materials.

Matej Sebek, Nguyen Thi Kim Thanh, Xiaodi Su, Jinghua Teng

Abstract read
In one paragraph

Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

4 authors.

Matej SebekBiophysics Group, Department of Physics and Astronomy, University College London, Gower Street, London, WC1E 6BT, United Kingdom.ORCID https://orcid.org/0000-0002-5196-6951
Nguyen Thi Kim ThanhBiophysics Group, Department of Physics and Astronomy, University College London, Gower Street, London, WC1E 6BT, United Kingdom.ORCID https://orcid.org/0000-0002-4131-5952
Xiaodi SuInstitute of Materials Research and Engineering, Agency for Science, Technology and Research, Innovis, Singapore 138634 Singapore.ORCID https://orcid.org/0000-0003-2164-4588
Jinghua TengInstitute of Materials Research and Engineering, Agency for Science, Technology and Research, Innovis, Singapore 138634 Singapore.ORCID https://orcid.org/0000-0001-5331-3092

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a general optimization technique for surface plasmon resonance, (SPR) yielding a range of ultrasensitive SPR sensors from a materials database with an enhancement of ∼100%. Applying the algorithm, we propose and demonstrate a novel dual-mode SPR structure coupling SPP and a waveguide mode within GeO

Identifiers

PMID37323412
PMCPMC10268016

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.