Evidence map›Paper›PMID 41758463›Full record

ArticleCell biochemistry and biophysics2026

A Graphene Oxide-Enhanced Five-Layer Plasmonic Biosensor: Design and Theoretical Analysis for Ultrasensitive Molecular Detection.

Deepak Sahu, Chakresh Kumar, Ghanendra Kumar

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Article in Cell biochemistry and biophysics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Deepak SahuUniversity School of Information, Communication & Technology, Guru Gobind Singh Indraprastha University, New Delhi, 110 078, India.
Chakresh KumarUniversity School of Information, Communication & Technology, Guru Gobind Singh Indraprastha University, New Delhi, 110 078, India. chakreshk@ipu.ac.in.
Ghanendra KumarUniversity School of Automation and Robotics, Guru Gobind Singh Indraprastha University, New Delhi, 110 078, India. drghanendrak@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents a comprehensive theoretical investigation of a five-layer Kretschmann-configuration surface plasmon resonance (SPR) sensor for the ultrasensitive detection of the endocrine disruptor Nonylphenol. The optimized stack comprises an SF10 prism, a nanoscale TiW adhesion layer (0.2 nm), a gold film (46 nm), and a graphene oxide (GO) biorecognition layer (0.5 nm). The optical response was rigorously modelled using the transfer matrix method, while analyte capture on the GO surface has described by a Langmuir adsorption isotherm. The design achieves a deep resonance (minimum reflectance (Rmin): 0.000745) and exhibits a high angular sensitivity (S) of 95.8 deg RIU–1. Theoretical analysis predicts an exceptional Limit of Detection (LOD) of 0.054 ppb, attributable to the field-enhancing properties of GO and its high affinity for Nonylphenol via π-π stacking. This sensor performance is analyzed at low (20%) and high (50%) concentration of Nonylphenol. This sensor demonstrated excellent minimum reflectance of 0.000202 and 0.000745 respectively showing excellent detection. The Quality Factor obtained at 50% concentration of NP is 11.1 RIU–1 along with detection accuracy (DA) Figure of Merit (FOM) of ~ 6.67. The penetration depth achieved at low and high NP concentration are 182.4 and 81.6 nm respectively. This study provides a foundational model and performance benchmark for designing highly specific SPR sensors that leverage two-dimensional materials for environmental pollutant detection, establishing a clear pathway for experimental realization.

Indexed as

Biosensing TechniquesEndocrine DisruptorsGraphitePhenolsSurface Plasmon ResonanceGoldLimit of DetectionEndocrine DisruptorsGoldgraphene oxideGraphitenonylphenolPhenolsEndocrine disruptorGONonylphenolSPRTransfer matrix method

Identifiers

PMID41758463

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