Hybrid SPR-LSPR Uric Acid Sensor: An Innovative Framework for Ultrasensitive, Selective, and Stable Biomolecular Detection

Accurate and sensitive biomarker detection is vital for modern diagnostics, especially in point-of-care testing (POCT), where real-time analysis is essential. Uric acid (UA), a key indicator of metabolic disorders including gout, nephropathy, and cardiovascular disease, requires precise quantification across physiologically relevant ranges in complex matrices. Conventional UA detection methods suffer from instability, poor selectivity, and susceptibility to interference. This study presents an innovative non-enzymatic hybrid surface plasmon resonance–localized surface plasmon resonance (SPR-LSPR) sensor that combines the long-range sensitivity of SPR with the near-field enhancement of LSPR. The platform incorporates a nanostructured gold-3-aminopropyltriethoxysiane-gold nanoparticle-graphene quantum dots (Au-APTES-AuNP-GQD) matrix, leveraging gold thin films, amine-functionalized AuNP, and GQD to enhance plasmonic confinement and molecular recognition. Structural and optical characterizations confirmed its nanoscale integrity. The sensor achieved a sensitivity of 0.1828°/(mg/dL), a low detection limit of 0.1658 mg/dL, and linearity (R² = 0.8655) across a 1–9 mg/dL UA physiological range. It demonstrated high selectivity, with a 1.1757° shift and 90.1% relative response to UA in the presence of common interferents. This label-free, real-time, and scalable sensor is highly suited for POCT and continuous UA monitoring, with modular adaptability for broader clinical biomarker detection.

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Publication Details

Journal
IEEE Sensors Letters
Published
2025-08-18
DOI
https://doi.org/10.1109/lsens.2025.3599871
Citations
1
Primary Topic
Analytical Chemistry and Chromatography
Type
article
Field-Weighted Citation Impact
0.76
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Hybrid SPR-LSPR Uric Acid Sensor: An Innovative Framework for Ultrasensitive, Selective, and Stable Biomolecular Detection

Olabisi Abdullahi Onifade, M. H. Abu Bakar, Mundzir Abdullah, Mohd Adzir Mahdi et al.
1 citations
IEEE Sensors Letters
Analytical Chemistry and Chromatography
0.76
article

Hybrid SPR-LSPR Uric Acid Sensor: An Innovative Framework for Ultrasensitive, Selective, and Stable Biomolecular Detection

Olabisi Abdullahi Onifade, M. H. Abu Bakar, Mundzir Abdullah, Mohd Adzir Mahdi, A. S. M. Noor
article en
1 citations

Abstract

Accurate and sensitive biomarker detection is vital for modern diagnostics, especially in point-of-care testing (POCT), where real-time analysis is essential. Uric acid (UA), a key indicator of metabolic disorders including gout, nephropathy, and cardiovascular disease, requires precise quantification across physiologically relevant ranges in complex matrices. Conventional UA detection methods suffer from instability, poor selectivity, and susceptibility to interference. This study presents an innovative non-enzymatic hybrid surface plasmon resonance–localized surface plasmon resonance (SPR-LSPR) sensor that combines the long-range sensitivity of SPR with the near-field enhancement of LSPR. The platform incorporates a nanostructured gold-3-aminopropyltriethoxysiane-gold nanoparticle-graphene quantum dots (Au-APTES-AuNP-GQD) matrix, leveraging gold thin films, amine-functionalized AuNP, and GQD to enhance plasmonic confinement and molecular recognition. Structural and optical characterizations confirmed its nanoscale integrity. The sensor achieved a sensitivity of 0.1828°/(mg/dL), a low detection limit of 0.1658 mg/dL, and linearity (R² = 0.8655) across a 1–9 mg/dL UA physiological range. It demonstrated high selectivity, with a 1.1757° shift and 90.1% relative response to UA in the presence of common interferents. This label-free, real-time, and scalable sensor is highly suited for POCT and continuous UA monitoring, with modular adaptability for broader clinical biomarker detection.

IEEE Sensors LettersVol. 9(9)
Universiti Putra Malaysia (MY), Universiti Sains Malaysia (MY)
Affordable and clean energy
Openalex Percentile: Top 27%
Analytical Chemistry and Chromatography
0.76
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Hybrid SPR-LSPR Uric Acid Sensor: An Innovative Framework for Ultrasensitive, Selective, and Stable Biomolecular Detection — Olabisi Abdullahi Onifade, M. H. Abu Bakar, et al. · IEEE Sensors Letters (2025) | TGRS Research Map | TGRS