Point of Care Detection of Blood Electrolytes and Glucose Utilizing Nano-Dot Enhanced Plasmonic Biosensor Article

Hassan, MF, Sagor, RH, Amin, MR et al. (2021). Point of Care Detection of Blood Electrolytes and Glucose Utilizing Nano-Dot Enhanced Plasmonic Biosensor . IEEE SENSORS JOURNAL, 21(16), 17749-17757. 10.1109/JSEN.2021.3082756

cited authors

  • Hassan, MF; Sagor, RH; Amin, MR; Islam, MR; Alam, MS

abstract

  • To satisfy the requirements of label-free detection, low cost, fast response of a lab-on-chip biosensor, a nanodot enhanced metal-insulator-metal (MIM) waveguide based refractive index sensor coupled with three rectangular cavities, is proposed in this work. Numerical investigation of the transmission spectra, employing the finite element method (FEM), exhibits a linear correspondence with the refractive index, which is used to sense the unknown materials. Imposing a sequential optimization of the structural parameters and enhancing light-matter interaction by loading nanodots at the high ${E}$ -field confined areas, desired sensitivity ( ${S}$ ) and figure of merit (FOM) are upgraded to $7564\,\, nmRI{U^{ - 1}} $ and 120, respectively. Additionally, the maximum temperature sensitivity of $3.40\,\, nm{}^{0}{C^{ - 1}} $ operating from $20{}^{0} {C} $ to $70{}^{0} {C} $ is also recorded for ploydimethylsiloxane (PDMS) sensing media. Prior to the selective detection of $Na^{\mathrm{ +}}$ , $K^{\mathrm{ +}}$ , and glucose concentration in the human blood, a sample preparation model combining purification, molecular separation, and concentration enhancement is proposed. Furthermore, a refractive index model is developed that exposes a maximum shift of 0.83 nm, 1.23 nm, and 8.72 nm of the transmittance peak for the concentration variation of $1\,\, mgd{L^{ - 1}} $ in $Na^{\mathrm{ +}}$ , $K^{\mathrm{ +}}$ , and glucose solution easily differentiable by the modern spectrometer. With such excellent performance metrics, compact size, and simple to use features, the proposed sensor is expected to bring a notable solution in the point-of-care detection.

publication date

  • August 15, 2021

published in

Digital Object Identifier (DOI)

start page

  • 17749

end page

  • 17757

volume

  • 21

issue

  • 16