High Stability and Low Power Nanometric Bio-Objects Trapping through Dielectric–Plasmonic Hybrid Nanobowtie

Micro and nano-scale manipulation of living matter is crucial in biomedical applications for diagnostics and pharmaceuticals, facilitating disease study, drug assessment, and biomarker identification. Despite advancements, trapping biological nanoparticles remains challenging. Nanotweezer-based strategies, including dielectric and plasmonic configurations, show promise due to their efficiency and stability, minimizing damage without direct contact. Our study uniquely proposes an inverted hybrid dielectric-plasmonic nanobowtie designed to overcome the primary limitations of existing dielectric-plasmonic systems, such as high costs and manufacturing complexity. This novel configuration offers significant advantages for the stable and long-term trapping of biological objects, including strong energy confinement with reduced thermal effects. The metal's efficient light reflection capability results in a significant increase in energy field confinement (EC) within the trapping site, achieving an enhancement of over 90% compared to the value obtained with the dielectric nanobowtie. Numerical simulations confirm the successful trapping of 100 nm viruses, demonstrating a trapping stability greater than 10 and a stiffness of 2.203 fN/nm. This configuration ensures optical forces of approximately 2.96 fN with an input power density of 10 mW/μm<sup>2</sup> while preserving the temperature, chemical-biological properties, and shape of the biological sample.

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Publication Details

Journal
Biosensors
Published
2024-08-13
DOI
https://doi.org/10.3390/bios14080390
Citations
1
Primary Topic
Orbital Angular Momentum in Optics
Type
article
Field-Weighted Citation Impact
0.34
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article

High Stability and Low Power Nanometric Bio-Objects Trapping through Dielectric–Plasmonic Hybrid Nanobowtie

Maria Serena Chiriacò, Francesco Ferrara, P. Colapietro, Annarita di Toma et al.
1 citations
Biosensors
Orbital Angular Momentum in Optics
0.34
article

High Stability and Low Power Nanometric Bio-Objects Trapping through Dielectric–Plasmonic Hybrid Nanobowtie

Maria Serena Chiriacò, Francesco Ferrara, P. Colapietro, Annarita di Toma, Giuseppe Brunetti, Caterina Ciminelli
article en
1 citations

Abstract

Micro and nano-scale manipulation of living matter is crucial in biomedical applications for diagnostics and pharmaceuticals, facilitating disease study, drug assessment, and biomarker identification. Despite advancements, trapping biological nanoparticles remains challenging. Nanotweezer-based strategies, including dielectric and plasmonic configurations, show promise due to their efficiency and stability, minimizing damage without direct contact. Our study uniquely proposes an inverted hybrid dielectric-plasmonic nanobowtie designed to overcome the primary limitations of existing dielectric-plasmonic systems, such as high costs and manufacturing complexity. This novel configuration offers significant advantages for the stable and long-term trapping of biological objects, including strong energy confinement with reduced thermal effects. The metal's efficient light reflection capability results in a significant increase in energy field confinement (EC) within the trapping site, achieving an enhancement of over 90% compared to the value obtained with the dielectric nanobowtie. Numerical simulations confirm the successful trapping of 100 nm viruses, demonstrating a trapping stability greater than 10 and a stiffness of 2.203 fN/nm. This configuration ensures optical forces of approximately 2.96 fN with an input power density of 10 mW/μm<sup>2</sup> while preserving the temperature, chemical-biological properties, and shape of the biological sample.

BiosensorsVol. 14(8)
Istituto di Nanotecnologia (IT), Polytechnic University of Bari (IT)
Affordable and clean energy
Openalex Percentile: Top 42%
Orbital Angular Momentum in Optics
0.34
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High Stability and Low Power Nanometric Bio-Objects Trapping through Dielectric–Plasmonic Hybrid Nanobowtie — Maria Serena Chiriacò, Francesco Ferrara, et al. · Biosensors (2024) | TGRS Research Map | TGRS