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Innovative Plasmonic Nanostructures: Integrating 2D Materials, Advanced Sensing, and Theoretical...
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Innovative Plasmonic Nanostructures: Integrating 2D Materials, Advanced Sensing, and Theoretical Modeling

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "D：Materials and Processing".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 943

Special Issue Editor

Prof. Dr. Cristian Vacacela Gomez

E-Mail Website
Guest Editor
INFN-Laboratori Nazionali di Frascati, Via E. Fermi 54, 00044 Frascati, Italy
Interests: graphene synthesis and characterization; graphene plasmonics; graphene coatings; pollutants removal; 2D materials experiments and modeling; DFT
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on recent advances in plasmonic nanostructures, with a particular emphasis on integrating 2D materials, cutting-edge sensing technologies, and sophisticated theoretical modeling. Plasmonics, at the intersection of nanotechnology, materials science, and optics, has enabled a range of applications in areas such as sensing, photonics, and energy harvesting. This Special Issue aims to bring together research on novel 2D plasmonic nanomaterials, advanced surface plasmon resonance (SPR) sensor designs, and theoretical approaches that push the boundaries of understanding and application.

This Special Issue invites cutting-edge research that bridges experimental, theoretical, and computational plasmonics, aiming to address the challenges and opportunities in designing next-generation plasmonic nanostructures.

Topics of interest include but are not limited to:

  1. Plasmonic nanostructures.
  2. 2D plasmonic materials.
  3. Surface plasmon resonance (SPR).
  4. Biosensing and chemical sensing.
  5. TDDFT (Time-Dependent Density Functional Theory).
  6. Random-phase approximation (RPA).
  7. Hybrid plasmonic systems.
  8. Theoretical and computational plasmonics.
  9. Energy harvesting.
  10. Semi-analytical plasmonic methods.

Prof. Dr. Cristian Vacacela Gomez
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2100 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • plasmonic nanostructures
  • 2D plasmonic materials
  • surface plasmon resonance (SPR)
  • biosensing and chemical sensing

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Published Papers (2 papers)

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Research

19 pages, 3887 KiB  
Article
The Effect of MoS2 and Si3N4 in Surface Plasmon Resonance Biosensors for HIV DNA Hybridization Detection: A Numerical Study
by Talia Tene, Diana Coello-Fiallos, María de Lourdes Palacios Robalino, Fabián Londo and Cristian Vacacela Gomez
Micromachines 2025, 16(3), 295; https://doi.org/10.3390/mi16030295 - 28 Feb 2025
Viewed by 182
Abstract
This study presents a numerical investigation of surface plasmon resonance (SPR) biosensors incorporating silicon nitride (Si3N4) and molybdenum disulfide (MoS2) for HIV DNA hybridization detection. By optimizing the thickness of Ag and Si3N4 and [...] Read more.
This study presents a numerical investigation of surface plasmon resonance (SPR) biosensors incorporating silicon nitride (Si3N4) and molybdenum disulfide (MoS2) for HIV DNA hybridization detection. By optimizing the thickness of Ag and Si3N4 and the number of MoS2 layers, two configurations, Sys2 (Ag-Si3N4) and Sys3 (Ag-Si3N4-MoS2), were selected for comparative analysis. Performance metrics, including the resonance angle shift, sensitivity, detection accuracy, and quality factor, demonstrated that Sys2 achieved the highest sensitivity of 210.9°/RIU and an enhanced figure of merit (86.98 RIU−1), surpassing state-of-the-art SPR sensors. Although Sys3 exhibited a lower sensitivity of 158.1°/RIU due to MoS2-induced optical losses, it provided a lower limit of detection, suggesting a trade-off between sensitivity and spectral broadening. Compared to previous SPR biosensors, the proposed configurations achieve superior sensitivity while maintaining stability and selectivity, positioning them as promising candidates for next-generation nucleic acid detection platforms. Full article
(This article belongs to the Special Issue Innovative Plasmonic Nanostructures: Integrating 2D Materials, Advanced Sensing, and Theoretical Modeling)
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20 pages, 4702 KiB  
Article
WS2/Si3N4-Based Biosensor for Low-Concentration Coronavirus Detection
by Talia Tene, Fabian Arias Arias, Karina I. Paredes-Páliz, Ana M. Cunachi Pillajo, Ana Gabriela Flores Huilcapi, Luis Santiago Carrera Almendariz and Stefano Bellucci
Micromachines 2025, 16(2), 128; https://doi.org/10.3390/mi16020128 - 23 Jan 2025
Viewed by 272
Abstract
This study presents the optimization of two SPR biosensors, Sys3 and Sys5, for SARS-CoV-2 detection at concentrations of 0.01–100 nM. Sys3, with a 55 nm silver layer, a 13 nm silicon nitride layer, and a 10 nm ssDNA [...] Read more.
This study presents the optimization of two SPR biosensors, Sys3 and Sys5, for SARS-CoV-2 detection at concentrations of 0.01–100 nM. Sys3, with a 55 nm silver layer, a 13 nm silicon nitride layer, and a 10 nm ssDNA layer, achieved a figure of merit (FoM) of 571.24 RIU−1, a signal-to-noise ratio (SNR) of 0.12, and a detection accuracy (DA) of 48.93 × 10−2. Sys5, incorporating a 50 nm silver layer, a 10 nm silicon nitride layer, a 10 nm ssDNA layer, and a 1.6 nm tungsten disulfide layer (L = 2), demonstrated a higher sensitivity of 305.33 °/RIU and a lower limit of detection (LoD) of 1.65 × 10−5. Sys3 outshined in precision with low attenuation (<1%), while Sys5 provided enhanced sensitivity and lower detection limits, crucial for early-stage viral detection. These configurations align with the refractive index ranges of clinical SARS-CoV-2 samples, showcasing their diagnostic potential. Future work will focus on experimental validation and integration into point-of-care platforms. Full article
(This article belongs to the Special Issue Innovative Plasmonic Nanostructures: Integrating 2D Materials, Advanced Sensing, and Theoretical Modeling)
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