4.8 Article

Smartphone integrated handheld Long Range Surface Plasmon Resonance based fiber-optic biosensor with tunable SiO2 sensing matrix

Journal

BIOSENSORS & BIOELECTRONICS
Volume 201, Issue -, Pages -

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2021.113919

Keywords

Smartphone; Optical fiber; LRSPR; Tunable refractive index; SiO2

Funding

  1. DST, India
  2. University of Delhi
  3. University Grants Commission (UGC) , India

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A novel smartphone assisted fiber optic-Long range surface plasmon resonance (LRSPR) based biosensor is proposed in this study. The inbuilt color sensitive property of the digital camera in the smartphone is utilized to monitor spectral data, improving the sensitivity and accuracy of the biosensor. SiO2 nanostructured film is used as the dielectric sensing layer for the first time, enabling the excitation of Long range surface plasmons (LRSPs) in the dielectric-metal-dielectric configuration. The developed sensor has great potential for applications in healthcare and environmental monitoring.
In the present work, a novel smartphone assisted fiber optic (FO)-Long range surface plasmon resonance (LRSPR) based biosensor is proposed. In the developed biosensor, the inbuilt color sensitive property of the digital camera present in the smartphone is used for the monitoring of blue and red color channel intensities. This will replace the most exploited diffraction gratings or narrow band filters used for analyzing the spectral data in reported smartphone based SPR sensors. The proposed technique helps in improving the sensitivity and reduces the chances of wrong detection. For the first time, SiO2 nanostructured film is employed as the dielectric sensing layer to excite the Long range surface plasmons (LRSPs) in the dielectric-metal-dielectric configuration. The proposed FO-LRSPR biosensor possess limit of detection of 0.02 mM and sensitivity of 0.9/mM and, for uric acid detection in the 0.1 mM-1 mM concentration range. The novel fabricated sensor which is found to be stable up to 24 weeks can be effectively utilized in health sector and environment monitoring and it possess the ability of point-of-care detection, even in rural and remote areas.

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