Next Article in Journal
A Simulation Modeling Approach for the Techno-Economic Analysis of the Integration of Electric Vehicle Charging Stations and Hybrid Renewable Energy Systems in Tourism Districts
Previous Article in Journal
Target Detection for Coloring and Ripening Potted Dwarf Apple Fruits Based on Improved YOLOv7-RSES
Previous Article in Special Issue
Quantum Information with Integrated Photonics
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Special Issue on Recent Advances and Future Trends in Nanophotonics II

by
Maria Antonietta Ferrara
* and
Principia Dardano
*
National Research Council (CNR), Institute of Applied Sciences and Intelligent Systems, Via Pietro Castellino 111, 80131 Naples, Italy
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2024, 14(11), 4524; https://doi.org/10.3390/app14114524
Submission received: 8 May 2024 / Accepted: 17 May 2024 / Published: 25 May 2024
(This article belongs to the Special Issue Recent Advances and Future Trends in Nanophotonics Ⅱ)

1. Introduction

Nanophotonics, at the forefront of science and engineering, intrigues researchers across disciplines with its transformative potential for diverse technologies. The Special Issue of Applied Sciences titled “Recent Advances and Future Trends in Nanophotonics II” offers a thorough summary of the latest breakthroughs and their impact across various application areas. It covers a broad spectrum of topics, from exploring new directions in nanophotonic science to driving innovation in information processing, communications, biomedical sciences, and imaging and environmental sustainability.
To leverage existing microelectronics technology, silicon (Si) is recognized as the primary material for investigating integrated photonic circuits, driving the increasing interest in silicon-based nanophotonics over recent decades. Fabrication techniques in micro- and nano-silicon photonics enable the cost-effective integration of electronic, photonic, and sensing devices on a single chip. Extensive efforts have been dedicated to developing novel silicon photonic components, resulting in innovative solutions with applications in telecommunications and multichip optical interconnections, promising to enhance the performance of future commercial processors.

2. An Overview of Published Articles

In contribution 1, Kaps and coauthors investigate various strategies employed to improve the in-plane performance of conventional s-SNOM probes. For instance, efforts have been made to optimize the shape of the SFM tip [1] and to tilt the tip cone in relation to the normal sample surface [2]. Additionally, enhancing the sample’s in-plane response can be achieved by incorporating dedicated nano-antennas onto the sample surface [3]. Furthermore, both theoretical [4] and experimental [5] evidence has shown that exciting the sample close to its optical resonance yields a notable in-plane signal even with standard s-SNOM tips. This in-plane response is closely linked to resonant excitation, thereby increasing its sensitivity to local sample properties within that frequency range. Consequently, subtle variations in local sample properties, such as mechanical stress [6] and permittivity anisotropies [5,7,8], are anticipated to significantly influence the in-plane contributions in s-SNOM.
In contribution 2, Menahem and Malka highlight how back-reflection poses a significant challenge to the efficacy of transmitter systems, particularly the reflection back into the laser source. In Si-based MMI couplers, reflections may occur due to the self-imaging phenomenon and refractive index mismatches between Si and SiO2 [9].
Studies indicate that polycarbonate polymer optical fiber can serve as a multiplexer or demultiplexer for RGB signals with insertion losses (ILs) ranging from 0.6 dB to 1.2 dB [10,11]. Additionally, a four-channel demultiplexer operating in the green light spectrum has been realized using a multi-slot waveguide structure based on gallium nitride (GaN) [12]. Furthermore, researchers have successfully divided four [13] and eight [14] channels in the visible and C-band spectrums, respectively, utilizing GaN MMIs. However, it is noteworthy that these studies did not consider the back-reflection effect, which is crucial for transmitter functionality [15].
In contribution 3, Hatifi and coauthors investigate fluorophores that find widespread biomedical utility as tracers and markers, such as when linked to DNA strands in devices for virus detection in blood samples. The application of such techniques in lab-on-a-chip setups holds promise [16], especially during pandemics, offering rapid virus detection in airports or other public areas. Additionally, they can serve as markers for verifying the authenticity of certain manufactured goods, thwarting counterfeiting attempts, as proposed here. Fluorimetry boasts rapid response times, sensitivity of excited states to local environments, and the ability to incorporate fluorophores into chips/devices, enabling simultaneous measurement of multiple samples in a short duration [17]. While fluorophores are commonly used for tracing and marking [17,18], operating them in the strong-coupling regime is unusual. Recent advancements have explored strong coupling for potential quantum chip applications, employing fluorophores tethered to oligonucleotide strands and integrated into cavities [19]. These DNA or RNA oligonucleotide strands offer the flexibility to position the probe within the cavity or link it with a plasmonic nanoobject (e.g., a gold nanosphere), akin to an external cavity [20,21]. However, this advantage is counterbalanced by the relatively high design and purification costs associated with oligonucleotides, compounded by aging issues (stability of oligonucleotide probes within the cavity). Contribution 3 introduces a novel fluorescence technique leveraging the intense light–matter interaction of an embedded nanoprobe within a plasmonic cavity. The strong light–matter interactions between nanoprobes and cavity modes typically manifest as changes in the excitation spectrum (electronic or vibrational) of the coupled system [22].
The article by Jia et al. (contribution 4) introduces an innovative design for a surface-enhanced Raman spectroscopy (SERS) substrate, aiming to achieve exceptional sensitivity and rapid, intimate contact between the target structure and the optical hotspots. The proposed substrate offers an enhancement factor of 108 or greater, potentially enabling the detection of immunomagnetically densified bacteria. Indeed, rapid detection of bacterial infections is a pressing concern in infectious disease diagnostics and treatment, with sepsis alone claiming over 25 percent of its victims [23]. However, the current clinical standards for sepsis diagnosis can take up to five days to culture and identify bacteria [24].
SERS emerges as a label-free optical biosensing technique, leveraging a modified form of Surface Plasmon Resonance (SPR). In Raman spectroscopy, when laser light interacts with a sample, it undergoes inelastic scattering, resulting in a change in wavelength according to the vibrational modes of the molecules [25]. This shift provides detailed vibrational information about the chemical bonds, offering high spatial resolution [26]. SERS enhances Raman signals using metallic nanomaterials, typically in the form of SERS tags, which consist of modified metallic nanoparticles equipped with specific capturing probes or Raman reporter molecules [27]. This study introduces a new SERS substrate design aimed at achieving high sensitivity and rapid, close contact between the target structure and optical hotspots for immunomagnetic bacteria concentration. The substrate utilizes inverted nanocone structures made of transparent PDMS, guiding light to plasmonic gold nanorods positioned at the top of the cones. With a highly reflective and low-loss outer layer, photons undergo multiple reflections, significantly increasing photon density at hotspots, potentially enabling the detection of immunomagnetically densified bacteria.
Finally, contribution 5 is an interesting review by Piergentili et al. on quantum information with integrated photonics. Authors highlight how the ongoing challenge revolves around establishing a scalable and convenient platform for the practical implementation of quantum technologies, which encompass protocols and devices capable of computations significantly faster than their classical counterparts. IBM [28] and Google [29] have recently developed prototypes of commercial quantum computers utilizing superconducting qubits through the superposition of supercurrents in Josephson junctions, requiring extremely low temperatures for operation. Additionally, research has explored superconducting opto-electronic circuits integrated with photonic components for rapid, energy-efficient computation [30], photon detection [31], and polarization-sensitive imaging [32,33]. However, for these new quantum technologies to be seamlessly integrable into existing systems and infrastructures developed for digital and telecom information technologies, there is a growing emphasis on the development of integrated photonics chips in silicon for the generation, modulation, and detection of light [34,35].

Funding

This research received no external funding.

Acknowledgments

This issue would not be possible without the valuable contributions of all the authors and peer reviewers. We would like to take this opportunity to record our sincere gratefulness to the editorial team of Applied Sciences.

Conflicts of Interest

The authors declare no conflicts of interest.

List of Contributions

  • Kaps, F.G.; Kehr, S.C.; Eng, L.M. Polarization Sensitivity in Scattering-Type Scanning Near-Field Optical Microscopy—Towards Nanoellipsometry. Appl. Sci. 2023, 13, 10429. https://doi.org/10.3390/app131810429.
  • Menahem, J.; Malka, D. A Two-Channel Silicon Nitride Multimode Interference Coupler with Low Back Reflection. Appl. Sci. 2022, 12, 11812. https://doi.org/10.3390/app122211812.
  • Hatifi, M.; Mara, D.; Bokic, B.; Van Deun, R.; Stout, B.; Lassalle, E.; Kolaric, B.; Durt, T. Fluorimetry in the Strong-Coupling Regime: From a Fundamental Perspective to Engineering New Tools for Tracing and Marking Materials and Objects. Appl. Sci. 2022, 12, 9238. https://doi.org/10.3390/app12189238.
  • Jia, Z.; Asiri, S.; Elsharif, A.; Alamoudi, W.; Al-Suhaimi, E.; Kim, S.-G. Design of Inverted Nano-Cone Arrayed SERS Substrate for Rapid Detection of Pathogens. Appl. Sci. 2021, 11, 8067. https://doi.org/10.3390/app11178067.
  • Piergentili, P.; Amanti, F.; Andrini, G.; Armani, F.; Bellani, V.; Bonaiuto, V.; Cammarata, S.; Campostrini, M.; Cornia, S.; Dao, T.H.; et al. Quantum Information with Integrated Photonics. Appl. Sci. 2024, 14, 387. https://doi.org/10.3390/app14010387.

References

  1. Richard, R.; Xinzhong, C.; Mengkun, L. High-efficiency scattering probe design for s-polarized near-field microscopy. Appl. Phys. Express 2021, 14, 022002. [Google Scholar]
  2. Park, K.D.; Raschke, M.B. Polarization Control with Plasmonic Antenna Tips: A Universal Approach to Optical Nanocrystallography and Vector-Field Imaging. Nano Lett. 2018, 18, 2912–2917. [Google Scholar] [CrossRef]
  3. Yao, Z.; Chen, X.; Wehmeier, L.; Xu, S.; Shao, Y.; Zeng, Z.; Liu, F.; Mcleod, A.S.; Gilbert Corder, S.N.; Tsuneto, M.; et al. Probing subwavelength in-plane anisotropy with antenna-assisted infrared nano-spectroscopy. Nat. Commun. 2021, 12, 2649. [Google Scholar] [CrossRef] [PubMed]
  4. Aminpour, H.; Eng, L.M.; Kehr, S.C. Spatially confined vector fields at material-induced resonances in near-field-coupled systems. Opt. Express 2020, 28, 32316. [Google Scholar] [CrossRef] [PubMed]
  5. Wehmeier, L.; Lang, D.; Liu, Y.; Zhang, X.; Winnerl, S.; Eng, L.M.; Kehr, S.C. Polarization-dependent near-field phonon nanoscopy of oxides: SrTiO3, LiNbO3, and PbZr0.2Ti0.8O3. Phys. Rev. B 2019, 100, 47–52. [Google Scholar] [CrossRef]
  6. Huber, A.J.; Ziegler, A.; Köck, T.; Hillenbrand, R. Infrared nanoscopy of strained semiconductors. Nat. Nanotechnol. 2009, 4, 153–157. [Google Scholar] [CrossRef]
  7. Wehmeier, L.; Nörenberg, T.; De Oliveira, T.V.; Klopf, J.M.; Yang, S.Y.; Martin, L.W.; Ramesh, R.; Eng, L.M.; Kehr, S.C. Phonon-induced near-field resonances in multiferroic BiFeO3 thin films at infrared and THz wavelengths. Appl. Phys. Lett. 2020, 116, 071103. [Google Scholar] [CrossRef]
  8. Döring, J.; Lang, D.; Wehmeier, L.; Kuschewski, F.; Nörenberg, T.; Kehr, S.C.; Eng, L.M. Low-temperature nanospectroscopy of the structural ferroelectric phases in single-crystalline barium titanate. Nanoscale 2018, 10, 18074–18079. [Google Scholar] [CrossRef]
  9. Ioudashkin, E.; Malka, D. A Three Demultiplexer C-Band Using Angled Multimode Interference in GaN–SiO2 Slot Waveguide Structures. Nanomaterials 2020, 10, 2338. [Google Scholar] [CrossRef]
  10. Dadabayev, R.; Malka, D. A visible light RGB wavelength demultiplexer based on polycarbonate multicore polymer optical fiber. Opt. Laser Technol. 2019, 116, 239–245. [Google Scholar] [CrossRef]
  11. Gelkop, B.; Aichnboim, L.; Malka, D. RGB wavelength multiplexer based on polycarbonate multicore polymer optical fiber. Opt. Fiber Technol. 2021, 61, 102441. [Google Scholar] [CrossRef]
  12. Gindi, M.; Melamed, A.; Malka, D. A four green-light demultiplexer using a multi gallium nitride slot-waveguide structure. Photonics Nanostruct.-Fundam. Appl. 2020, 42, 100855. [Google Scholar] [CrossRef]
  13. Shoresh, T.; Katanov, N.; Malka, D. 1× 4 MMI visible light wavelength demultiplexer based on a GaN slot-waveguide structure. Photonics Nanostruct.-Fundam. Appl. 2018, 30, 45–49. [Google Scholar] [CrossRef]
  14. Ben Zaken, B.B.; Zanzury, T.; Malka, D. An 8-channel wavelength MMI demultiplexer in slot waveguide structures. Materials 2016, 9, 881. [Google Scholar] [CrossRef] [PubMed]
  15. Menahem, J.; Malka, D. 1 × 4 Wavelength Demultiplexer C-Band Using Cascaded Multimode Interference on SiN Buried Waveguide Structure. Materials 2022, 15, 5067. [Google Scholar] [CrossRef] [PubMed]
  16. Sengupta, P.; Khanra, K.; Chowdhury, A.R.; Datta, P. Lab-on-a-chip sensing devices for biomedical applications. In Bioelectronics and Medical Devices from Materials to Devices—Fabrication, Applications and Reliability, 1st ed.; Pal, K., Kraatz, H.-B., Khasnobish, A., Bag, S., Banerjee, I., Kuruganti, U., Eds.; Woodhead Publishing: Sawston, UK, 2019; pp. 47–95. [Google Scholar]
  17. Lakowicz, J.R. Principles of Fluorescence Spectroscopy, 3rd ed.; Springer: New York, NY, USA, 2006; pp. 623–740. [Google Scholar]
  18. Cowen, E.A.; Ward, K.B. Chemical Plume Tracing. Environ. Fluid Mech. 2002, 2, 1–7. [Google Scholar] [CrossRef]
  19. Chan, W.P.; Chen, J.H.; Chou, W.L.; Chen, W.Y.; Liu, H.Y.; Hu, H.C.; Jeng, C.C.; Li, J.R.; Chen, C.; Chen, S.Y. Efficient DNA-Driven Nanocavities for Approaching Quasi-Deterministic Strong Coupling to a Few Fluorophores. ACS Nano 2021, 15, 13085–13093. [Google Scholar] [CrossRef] [PubMed]
  20. Punj, D.; Regmi, R.; Devilez, A.; Plauchu, R.; Moparthi, S.B.; Stout, B.; Bonod, N.; Rigneault, H.; Wenger, J. Self-Assembled Nanoparticle Dimer Antennas for Plasmonic-Enhanced Single-Molecule Fluorescence Detection at Micromolar Concentrations. ACS Photonics 2015, 2, 1099–1107. [Google Scholar] [CrossRef]
  21. Busson, M.P.; Rolly, B.; Stout, B.; Bonod, N.; Wenger, J.; Bidault, S. Photonic Engineering of Hybrid Metal—Organic Chromophores. Angew. Chem. Int. Ed. 2012, 51, 11083–11087. [Google Scholar] [CrossRef]
  22. Kolaric, B.; Maes, B.; Clays, K.; Durt, T.; Caudano, Y. Strong Light-Matter Coupling as a New Tool for Molecular and Material Engineering: Quantum Approach. Adv. Quantum Technol. 2018, 1, 1800001. [Google Scholar] [CrossRef]
  23. Angus, D.C.; van der Poll, T. Severe sepsis and septic shock. N. Engl. J. Med. 2013, 369, 840–851. [Google Scholar] [CrossRef] [PubMed]
  24. Kirpalani, H.; Huang, L.; Michenko, M.J.; Duffet, M. Manual of Pediatric Intensive Care. PMPH-USA. 2009. Available online: https://www.wolterskluwer.com/en/solutions/ovid/manual-of-pediatric-intensive-care-8132 (accessed on 1 May 2024).
  25. Managò, S.; Tramontano, C.; Cave, D.D.; Chianese, G.; Zito, G.; De Stefano, L.; Terracciano, M.; Lonardo, E.; De Luca, A.C.; Rea, I. SERS quantification of galunisertib delivery in colorectal cancer cells by plasmonic-assisted diatomite nanoparticles. Small 2021, 17, 2101711. [Google Scholar] [CrossRef] [PubMed]
  26. Xu, W.; Ling, X.; Xiao, J.; Dresselhaus, M.S.; Kong, J.; Xu, H.; Liu, Z.; Zhang, J. Surface enhanced Raman spectroscopy on a flat graphene surface. Proc. Natl. Acad. Sci. USA 2012, 109, 9281–9286. [Google Scholar] [CrossRef] [PubMed]
  27. Tao, A.R.; Yang, P. Polarized Surface-Enhanced Raman Spectroscopy on Coupled Metallic Nanowires. J. Phys. Chem. B 2005, 109, 15687–15690. [Google Scholar] [CrossRef] [PubMed]
  28. Kim, Y.; Eddins, A.; Anand, S.; Wei, K.X.; Van Den Berg, E.; Rosenblatt, S.; Nayfeh, H.; Wu, Y.; Zaletel, M.; Temme, K.; et al. Evidence for the Utility of Quantum Computing before Fault Tolerance. Nature 2023, 618, 500–505. [Google Scholar] [CrossRef] [PubMed]
  29. Arute, F.; Arya, K.; Babbush, R.; Bacon, D.; Bardin, J.C.; Barends, R.; Biswas, R.; Boixo, S.; Brandao, F.G.; Buell, D.A.; et al. Quantum supremacy using a programmable superconducting processor. Nature 2019, 574, 505–510. [Google Scholar] [CrossRef] [PubMed]
  30. Khan, S.; Primavera, B.A.; Chiles, J.; McCaughan, A.N.; Buckley, S.M.; Tait, A.N.; Lita, A.; Biesecker, J.; Fox, A.; Olaya, D.; et al. Superconducting Optoelectronic Single-Photon Synapses. Nat. Electron. 2022, 5, 650–659. [Google Scholar] [CrossRef]
  31. Dardano, P.; Ferrara, M.A. Integrated Photodetectors Based on Group IV and Colloidal Semiconductors: Current State of Affairs. Micromachines 2020, 11, 842. [Google Scholar] [CrossRef] [PubMed]
  32. Coppola, G.; Ferrara, M.A. Polarization-sensitive digital holographic imaging for characterization of microscopic samples: Recent advances and perspectives. Appl. Sci. 2020, 10, 4520. [Google Scholar] [CrossRef]
  33. Di Caprio, G.; Dardano, P.; Coppola, G.; Cabrini, S.; Mocella, V. Digital holographic microscopy characterization of superdirective beam by metamaterial. Opt. Lett. 2012, 37, 1142. [Google Scholar] [CrossRef]
  34. Ranjan, R.; D’Arco, A.; Ferrara, M.A.; Indolfi, M.; Larobina, M.; Sirleto, L. Integration of stimulated Raman gain and stimulated Raman losses detection modes in a single nonlinear microscope. Opt. Express 2012, 26, 26317–26326. [Google Scholar] [CrossRef] [PubMed]
  35. Mocella, V.; Dardano, P.; Rendina, I.; Cabrini, S. An extraordinary directive radiation based on optical antimatter at near infrared. Opt. Express 2010, 18, 25068–25074. [Google Scholar] [CrossRef] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ferrara, M.A.; Dardano, P. Special Issue on Recent Advances and Future Trends in Nanophotonics II. Appl. Sci. 2024, 14, 4524. https://doi.org/10.3390/app14114524

AMA Style

Ferrara MA, Dardano P. Special Issue on Recent Advances and Future Trends in Nanophotonics II. Applied Sciences. 2024; 14(11):4524. https://doi.org/10.3390/app14114524

Chicago/Turabian Style

Ferrara, Maria Antonietta, and Principia Dardano. 2024. "Special Issue on Recent Advances and Future Trends in Nanophotonics II" Applied Sciences 14, no. 11: 4524. https://doi.org/10.3390/app14114524

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop