Evidence map›Paper›PMID 41597848›Full record

ArticleMicromachines2025

Theoretical Investigation of Early Cancer Biomarker Sensing Using a PMMA-Gold Hybrid Quasi-D-Shaped Photonic-Crystal-Fiber-Based Surface Plasmon Resonance Biosensor.

Ayushman Ramola, Amit Kumar Shakya, Nezah Balal, Arik Bergman

Abstract read
In one paragraph

Article in Micromachines, 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. SPR biosensor with a graphene overlayer for carcinoma detection.Frontiers in bioengineering and biotechnology · 2026
    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

4 authors.

Ayushman RamolaDepartment of Electrical and Electronics Engineering, Ariel University, Ariel 40700, Israel.ORCID 0000-0002-1903-5401
Amit Kumar ShakyaDepartment of Electrical and Electronics Engineering, Ariel University, Ariel 40700, Israel.ORCID 0000-0002-7710-4276
Nezah BalalDepartment of Electrical and Electronics Engineering, Ariel University, Ariel 40700, Israel.ORCID 0000-0003-4382-4053
Arik BergmanDepartment of Electrical and Electronics Engineering, Ariel University, Ariel 40700, Israel.ORCID 0000-0001-7257-4976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, a quasi-D-shaped photonic crystal fiber (PCF)-based surface plasmon resonance (SPR) biosensor is proposed and numerically investigated using the finite element method (FEM) implemented in COMSOL Multiphysics version 6.2 for the detection of cancer cells with different refractive indices. The biosensor has a coating of plasmonic material gold (Au) and a polymer coat of polymethyl methacrylate (PMMA). The effects of plasmonic material thickness and air hole dimensions on key sensing parameters, including confinement loss (CL), wavelength sensitivity (WS), and amplitude sensitivity (AS), are systematically analyzed. The results revealed that increasing plasmonic thickness beyond its optimum value significantly raises CL while reducing sensitivity due to reduced penetration depth of the evanescent field. Similarly, variations in the geometrical dimensions of the air holes (±10%) also affect the sensor response, emphasizing the importance of precise structural optimization. For the optimized design the proposed biosensor exhibits high performance with a maximum WS of 31,000 nm/RIU for MDA-MB-231 cells under x-polarization and 29,500 nm/RIU under y-polarization. The corresponding resolutions achieved are as low as 3.22 × 10

Indexed as

cancerphotonic crystal fiber (PCF)polymethyl methacrylate (PMMA)quasi D shapedsurface plasmon resonance (SPR)

Identifiers

PMID41597848
PMCPMC12844213

What OpenQuestion holds

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Registered trials

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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.