Evidence map›Paper›PMID 40648274›Full record

ArticleSensors (Basel, Switzerland)2025

Practical and Compact Guided Mode Resonance Sensing System for Highly Sensitive Real-Time Detection.

Yen-Song Chen, Devesh Barshilia, Chia-Jui Hsieh, Hsun-Yuan Li, Wen-Hsin Hsieh, Guo-En Chang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Yen-Song ChenDepartment of Mechanical Engineering, and Advanced Institute of Manufacturing with High-Tech Innovations (AIM-HI), National Chung Cheng University, Chiayi 62102, Taiwan.
Devesh BarshiliaDepartment of Mechanical Engineering, and Advanced Institute of Manufacturing with High-Tech Innovations (AIM-HI), National Chung Cheng University, Chiayi 62102, Taiwan.ORCID 0009-0000-1719-9317
Chia-Jui HsiehDepartment of Mechanical Engineering, and Advanced Institute of Manufacturing with High-Tech Innovations (AIM-HI), National Chung Cheng University, Chiayi 62102, Taiwan.
Hsun-Yuan LiDepartment of Mechanical Engineering, and Advanced Institute of Manufacturing with High-Tech Innovations (AIM-HI), National Chung Cheng University, Chiayi 62102, Taiwan.ORCID 0000-0001-8194-6030
Wen-Hsin HsiehDepartment of Mechanical Engineering, and Advanced Institute of Manufacturing with High-Tech Innovations (AIM-HI), National Chung Cheng University, Chiayi 62102, Taiwan.ORCID 0000-0002-7037-2374
Guo-En ChangDepartment of Mechanical Engineering, and Advanced Institute of Manufacturing with High-Tech Innovations (AIM-HI), National Chung Cheng University, Chiayi 62102, Taiwan.ORCID 0000-0002-3739-5451

Funding

National Science and Technology Council of Taiwan (NSTC) NSTC 111-2124-M-194-002National Science and Technology Council of Taiwan (NSTC) NSTC 111-2636-E-194-002National Science and Technology Council of Taiwan (NSTC) NSTC 112-2124-M-194-001National Science and Technology Council of Taiwan (NSTC) NSTC 112-2636-E-194-002National Science and Technology Council of Taiwan (NSTC) NSTC 113-2222-E-194-002National Science and Technology Council of Taiwan (NSTC) NSTC 113-2640-B-194-001National Taiwan University Hospital Yunlin Branch of Taiwan (NTUHYL) NTUHYL 112-AI006National Taiwan University Hospital Yunlin Branch of Taiwan (NTUHYL) NTUHYL 112-C008
6 · The paper itself

Abstract

Guided mode resonance (GMR) sensors are known for their ultrasensitive and label-free detection, achieved by assessing refractive index (RI) variations on grating surfaces. However, conventional systems often require manual adjustments, which limits their practical applicability. Therefore, this study enhances the practicality of GMR sensors by introducing an optimized detection system based on the Jones matrix method. In addition, finite element method simulations were performed to optimize the GMR sensor structure parameter. The GMR sensor chip consists of three main components: a cyclic olefin copolymer (COC) substrate with a one-dimensional grating structure of a period of ~295 nm, a height of ~100 nm, and a ~130 nm thick TiO

Indexed as

guided mode resonanceJones matrixoptical detection systemreal-time detectionrefractive index sensing

Identifiers

PMID40648274
PMCPMC12252117

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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.