Optimization of Surface Plasmon Resonance Biosensor for Analysis of Lipid Molecules
Ehsan Kabir, Syed Mohammad Ashab Uddin, Sayeed Shafayet Chowdhury

TL;DR
This study optimizes two SPR biosensor configurations for lipid detection, enhancing sensitivity and performance through finite-difference time-domain analysis, with potential implications for disease diagnosis.
Contribution
It introduces optimized SPR sensor structures for lipid analysis, comparing Kretschmann and narrow groove grating configurations using FDTD simulations.
Findings
Sensitivity increases with lipid concentration, highest for phospholipid and tryptophan.
Metal layer thickness affects reflectivity and FWHM but not sensitivity significantly.
Narrow groove grating achieves high sensitivity (900 nm/RIU) at specific geometries.
Abstract
Surface Plasmon Resonance (SPR) is an important bio-sensing technique for real-time label-free detection. However, it is pivotal to optimize various parameters of the sensor configuration for efficient and highly sensitive sensing. To that effect, we focus on optimizing two different SPR structures -- the basic Kretschmann configuration and narrow groove grating. Our analysis aims to detect two different types of lipids known as phospholipid and eggyolk, which are used as analyte (sensing layer) and two different types of proteins namely tryptophan and bovine serum albumin (BSA) are used as ligand (binding site). For both the configurations, we investigate all possible lipid-protein combinations to understand the effect of various parameters on sensitivity, minimum reflectivity and full width half maximum (FWHM). Lipids are the structural building block of cell membranes and mutation of…
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