Performance Comparison of Plasmonic Sensors via Ion Reduction and KOH Methods

In this work, several types of plasmonic sensors were prepared by different methods (ion reduction method and wet-chemical KOH route) to detect the ultralow anti-CIPRO concentration using AgNPs/PSi SERS-active substrate with AgNPs concentration. The process was optimized to be very effective in detecting CIPRO and to have a high amplification factor (EF). For the deposition of AgNPs with a concentration of 5×10-3 M and the maximum density of hotspot areas, a nanocrystalline silicon sample prepared by the KOH method and an ion reduction technique before etching was used. We tested an AgNPs/PSi SERS substrate, which showed better performance in detecting the CIPRO antibiotic over a range of doses (10-7-10-13 M). XRD, EDX, FESEM and SERS were used to analyze the PSi samples and the AgNP/PSi chemical sensors. The results of the AgNPs/PSi SERS substrates from both methods showed that the ion reduction process was more effective in detecting the CIPRO antibiotics at their lowest concentrations. It was found that the highest EF at salt concentrations of 5×10-3M was 6.3×1012 for the pre-etching method, compared with 7.78×1010 for the KOH method under the same conditions. The results showed that the proposed AgNPs/PSi SERS substrate is an effective method to find CIPRO even at low concentrations, and that CIPRO was localized approximately near the surface. This approach is considered a revolutionary work that has the potential to modify the plasmonic properties of metallic NPs for SERS applications.

Authors

Publication Details

Journal
Journal of Applied Sciences and Nanotechnology
Published
2025-03-01
DOI
https://doi.org/10.53293/jasn.2025.7488.1317
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance Comparison of Plasmonic Sensors via Ion Reduction and KOH Methods

R. A. Shlaga, Mohammed S. Mohammed, Alwan M. Alwan
Journal of Applied Sciences and Nanotechnology
Analytical Chemistry and Sensors
article

Performance Comparison of Plasmonic Sensors via Ion Reduction and KOH Methods

R. A. Shlaga, Mohammed S. Mohammed, Alwan M. Alwan
article en

Abstract

In this work, several types of plasmonic sensors were prepared by different methods (ion reduction method and wet-chemical KOH route) to detect the ultralow anti-CIPRO concentration using AgNPs/PSi SERS-active substrate with AgNPs concentration. The process was optimized to be very effective in detecting CIPRO and to have a high amplification factor (EF). For the deposition of AgNPs with a concentration of 5×10-3 M and the maximum density of hotspot areas, a nanocrystalline silicon sample prepared by the KOH method and an ion reduction technique before etching was used. We tested an AgNPs/PSi SERS substrate, which showed better performance in detecting the CIPRO antibiotic over a range of doses (10-7-10-13 M). XRD, EDX, FESEM and SERS were used to analyze the PSi samples and the AgNP/PSi chemical sensors. The results of the AgNPs/PSi SERS substrates from both methods showed that the ion reduction process was more effective in detecting the CIPRO antibiotics at their lowest concentrations. It was found that the highest EF at salt concentrations of 5×10-3M was 6.3×1012 for the pre-etching method, compared with 7.78×1010 for the KOH method under the same conditions. The results showed that the proposed AgNPs/PSi SERS substrate is an effective method to find CIPRO even at low concentrations, and that CIPRO was localized approximately near the surface. This approach is considered a revolutionary work that has the potential to modify the plasmonic properties of metallic NPs for SERS applications.

Journal of Applied Sciences and NanotechnologyVol. 5(1)
Affordable and clean energy
Openalex Percentile: Top 83%
Analytical Chemistry and Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.