Gold Nanobipyramids as LPSR Sensing Materials for Glyphosate Detection: Surface Density and Aspect Ratio Effect

• Published in: IEEE sensors journal Vol. 22; no. 19; pp. 18479 - 18485
• Main Authors: Nafisah, Suratun, Morsin, Marlia, Sanudin, Rahmat, Razali, Nur L., Zain, Zainiharyati Mohd, Djamal, Mitra
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Aspect ratio; Density; Gold; Gold nanobipyramids (GNBPs); gold nanoparticles; Herbicides; localized surface plasmon resonance (LSPR); LSPR sensor; Metals; Nanoparticles; Ocean temperature; Refractivity; Sensitivity; Sensors; Surface morphology; Surface plasmon resonance
• ISSN: 1530-437X; 1558-1748
• DOI: 10.1109/JSEN.2022.3199466

The governing of localized surface plasmon resonance (LSPR)-based sensor performance is derived with consideration of shape, surface density, and aspect ratio of sensing material, as well as the refractive index of the medium. Dependencies of the surface density and aspect ratio of gold nanobipyramids (GNBPs) used as sensing materials in self-customized LSPR-based sensor setup for the detection of herbicides namely glyphosate are studied in this work. In this work, the GNBPs with a surface density from 5.21% ± 0.44% to 91.46% ± 3.32% and an aspect ratio from 2.00 ± 0.02 to 2.76 ± 0.05 were fabricated. Experimentally, the result shows a linear relationship between the mean surface density and aspect ratio of GNBPs toward the sensitivity of the LSPR-based sensor for both transverse surface plasmon resonance (t-SPR) and longitudinal surface plasmon resonance (l-SPR) resonance peaks. The optimum result for sensitivity was carried out by a sample with a surface density of 80.02% ± 0.86% and an aspect ratio of 2.58 ± 0.04. Furthermore, this sample also exhibits very clear response recovery behavior and stable repeatability up to five cycles with variances of 0.011% and 0.022%, respectively. The findings are useful to enhance the performance of LSPR-based sensor through process conditions that are able to control the morphology (surface density and aspect ratio) of GNBPs to improve the sensitivity of LSPR-based sensor.