Optical sensing of nanoparticles employing porous silicon thin films

With the increasing consumption of nanomaterials in a variety of applications, our environment becomes more and more exposed to different kinds of (possibly toxic) nanomaterials having variable sizes and shapes, raising up the requirement to sense and monitor the presence of nanomaterials. Here, we propose and demonstrate a porous-silicon based optical sensing platform, capable of sensing nanoparticles of a given distribution of sizes and shapes, but independent of their chemical, mechanical, or electrical properties. A white light optical interference technique has been utilized to transduce nanoparticles trapped in the porous matrix into an optical signal. We have found an unusual optical sensing response that substantially increases the sensing bandwidth of the porous-silicon based optical sensor, which follows a Hill-equation type behavior that is characterized by a logarithmic response at low nanoparticle's concentration and saturation at high concentrations. These universal characteristics of the sensors are explained by the anomalous and limited diffusion of the nanoparticles via a quasi-1D geometry of the pore's matrix. Very low concentration of nanoparticles, of the order of few μg/ml, has been measured by this sensing technique.

Authors

Institutions

Publication Details

Journal
Journal of Applied Physics
Published
2025-02-21
DOI
https://doi.org/10.1063/5.0252516
Primary Topic
Silicon Nanostructures and Photoluminescence
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optical sensing of nanoparticles employing porous silicon thin films

Jyoti Jaiswal, Roey Sagi, Uri Banin, Ofra Benny et al.
Journal of Applied Physics
Silicon Nanostructures and Photoluminescence
article

Optical sensing of nanoparticles employing porous silicon thin films

Jyoti Jaiswal, Roey Sagi, Uri Banin, Ofra Benny, A. Sa’ar, Tom Naor, Chalom Zemmour, Micha Asscher, Vered Riven
article en

Abstract

With the increasing consumption of nanomaterials in a variety of applications, our environment becomes more and more exposed to different kinds of (possibly toxic) nanomaterials having variable sizes and shapes, raising up the requirement to sense and monitor the presence of nanomaterials. Here, we propose and demonstrate a porous-silicon based optical sensing platform, capable of sensing nanoparticles of a given distribution of sizes and shapes, but independent of their chemical, mechanical, or electrical properties. A white light optical interference technique has been utilized to transduce nanoparticles trapped in the porous matrix into an optical signal. We have found an unusual optical sensing response that substantially increases the sensing bandwidth of the porous-silicon based optical sensor, which follows a Hill-equation type behavior that is characterized by a logarithmic response at low nanoparticle's concentration and saturation at high concentrations. These universal characteristics of the sensors are explained by the anomalous and limited diffusion of the nanoparticles via a quasi-1D geometry of the pore's matrix. Very low concentration of nanoparticles, of the order of few μg/ml, has been measured by this sensing technique.

Journal of Applied PhysicsVol. 137(7)
Tokai University (JP), Hebrew University of Jerusalem (IL), Rajiv Gandhi University (IN), FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic (CZ)
Israel Science Foundation, Lady Davis Fellowship Trust, Hebrew University of Jerusalem
Openalex Percentile: Top 98%
Silicon Nanostructures and Photoluminescence
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.