Skip to main content

Advertisement

Random nanostructured metallic films for environmental monitoring and optical sensing: experimental and computational studies

Article metrics

  • 1143 Accesses

  • 15 Citations

Abstract

Nanostructured silver films are studied using computational and experimental methods. Surface plasmon resonance-related phenomena are emphasized. Resonant optical absorption band changes due to the influence of noxious gases are investigated. Amplification of light at the film surface due to local electromagnetic field enhancement at the nanoscale is discussed based on finite difference time domain calculations.

Background

Novel engineered nanostructures which exhibit superior optical and other physical properties with respect to conventional materials offer many opportunities for the assessment of toxic air contaminants [1,2]. Recent developments, for example, include SO2 gas detector utilizing SnO2 nanoparticles as sensing elements [3] and ZnO-based nanostructured nitrogen dioxide sensor [4]. While sensitive, one drawback is that these sensors only operate at temperatures higher than 200°C.

A promising class of materials that can be extremely sensitive for environmental changes at ambient conditions is noble metal nanoparticles [5] and noble metal nanostructures, in which light-metal interaction induces surface plasmon resonance (SPR) [6].

Understanding of specific optical phenomena and their relation to structural characteristics in noble metal-based nanostructures is crucial for the design of efficient thin-film-based environmental sensors. According to numerous reports, resonant absorption peaks associated with surface plasmon excitations are expected to be very sensitive to environmental contaminants such as noxious gases [7,8]. On the other hand, the effect of local field enhancement is observed in these materials, which is sensitive to the dielectric environment of the metallic nanoparticles, and can be used for the amplification of light at the nanoscale [9].

Present research is focused on the experimental and computational studies of nanostructured silver films, having in mind these two perspectives.

Methods

Random nanostructured films were grown by thermal deposition of silver onto dielectric substrate (glass) in vacuum (10−6 Torr). The deposition rate was around 0.5 nm per min. Film morphology was controlled by adjusting the parameters of the deposition process. Mass thickness of the film was monitored using quartz crystal resonator, the resonant frequency of which depends on the thickness of deposited film. Such technique is widely used for accurate control of deposition thickness and typically ensures measurement of film thickness to a precision of 1 nm. Prepared samples were examined with a Solver P47 PRO atomic force microscope (AFM) from NT-MDT, Zelenograd, Russia [10]. Obtained films contain both a conducting phase (silver clusters) and an insulating phase (cavities between clusters). Mass thicknesses of Ag coverage vary from 1 to 10 nm; 5-, 7-, and 8-nm films were chosen for optical experiments.

For the study of the influence of noxious gases on the optical properties of nanostructured films, samples were placed in chamber filled with carbon dioxide (CO2) or nitrogen dioxide (NO2) for fixed periods of time. Carbon dioxide was produced according to the following reaction:

$$ {\mathrm{CaCO}}_3+2\mathrm{H}\mathrm{C}\mathrm{l}\to {\mathrm{CaCl}}_2+{\mathrm{CO}}_2+{\mathrm{H}}_2\mathrm{O} $$
(1)

In order to obtain nitrogen dioxide, the reaction of copper with concentrated nitric acid was exploited:

$$ \mathrm{C}\mathrm{u}+{\mathrm{H}\mathrm{NO}}_3\to \mathrm{C}\mathrm{u}{\left({\mathrm{NO}}_3\right)}_2+{\mathrm{NO}}_2+{\mathrm{H}}_2\mathrm{O} $$
(2)

Optical absorption measurements were performed with ULAB S108UV spectrophotometer from ULAB, Kyiv, Ukraine, in the visible range from 350 to 750 nm. This instrument uses halogen lamp as a light source, Si detector, and a single beam optical system with grating monochromator (1,200 lines per mm). Spectral resolution is 1 nm at 0.3% photometric accuracy in transmittance mode. All spectra were collected at room temperature.

A nanostructured silver film model for computer simulations was implemented by defining a 3D simulation space containing empty volume pixels (voxels) and a substrate surface. A Monte Carlo iterative algorithm was used in order to determine voxels filled by silver particles.

A parallel 3D finite difference time domain (FDTD) solver was implemented to study the electromagnetic properties of nanostructured noble metal films [11,12]. The application has been created using C++ language using IDE Qt Creator. The algorithm is designed for parallel computing; therefore, OpenMP library for gcc compiler was exploited. Maximum number of threads used in the algorithm is eight. Simulations were run on Intel(R) Core(TM) i7 2.90GHz CPU powered machine. The propagation of a plane wave in the 3D computation domain with the dimension of 200 × 200 × 50 voxels and 1,000 timesteps takes approximately 1 min (depending on density of the film).

The permittivity of silver was modeled using Drude equation with parameters, described in [13]. We used the perfectly matched layer (PML) boundary conditions in FDTD method to prevent the reflections from boundaries of computed space while simulating plane wave propagation.

Results and discussion

Figure 1 shows the fragment of a typical scanning electron microscopy (SEM) image of obtained near percolation silver film along with the two-dimensional computer-generated reconstruction. Properties of the films, including roughness and fractal dimension, were calculated for different simulated structures. Roughness was estimated at different iterations of the simulation algorithm. Fractal dimension of the simulated film was obtained by box counting [14] and falls within 2.0…2.5 range. Island structure of the simulated random films and the evolution of the film roughness with the increase of fill ratio are illustrated in Figure 2. For the purpose of comparison, real Ag film morphology observed using atomic force microscopy imaging is also shown.

Figure 1
figure1

Typical SEM micrograph of a near percolation silver film and the respective 2D topographic model.

Figure 2
figure2

3D computer-generated patterns and AFM image of a real structure. Showing the morphology of island films ((a) 0.15 fill ratio, (b) 0.55 fill ratio); real morphology of the nanostructured silver film (height increases from darker to brighter, the brightest points correspond to approximately 15 nm) as seen by AFM (c); simulated film roughness (mean square deviation of film height at each simulated point from the average film thickness) as a function of fill ratio (d).

In order to study possible local field intensity enhancements in nanostructured films, FDTD calculations were performed. The structural features of the simulated geometries were based on the above described computer-generated patterns. The size of the films used in these simulations was 200 × 200 nm. Two models with 0.15 and 0.55 fill factor were considered. Film thickness in simulations increases with fill factor. In our case, the linear dimension of an elementary block of the film is 1 nm. Hence, the average thickness of simulated metal islands is 2.5 nm for the 0.15 fill factor and 3.9 nm for the 0.55 fill factor. Maximum thickness of the film in the simulation can reach up to 5 nm and up to 10 nm for 0.15 and 0.55 fill factors, respectively.

The intensity map was calculated in a plane just inside the glass substrate and below the film/substrate interface.

The calculated intensity maps (Figure 3) indicate that optical properties of films strongly depend on their local morphology. There are regions of the localization of strongly enhanced electromagnetic fields usually called ‘hot spots’ (brighter areas in Figure 3 correspond to the points where stronger enhancement is observed). This result is consistent with previous calculations performed in the frame of the DDA method using AFM images as initial data [15]. It is worth to be remarked that in the UV (250 nm), one observes a larger number of more intensive ‘hot spots’, while at 700 nm, the intensity is more evenly distributed with a smaller number of strongly enhanced regions.

Figure 3
figure3

Calculated local intensity normalized with respect to the incident intensity at different wavelengths.

For silver films on glass, the plasmon resonant absorption is expected in the middle of the visible range [16]. Performed absorption measurements on obtained films are in line with theoretical prediction and previous reports. As depicted in Figure 4, there is a strong absorption band peaked at 496 nm for the film with 5-nm mass thickness. The structure of the film determines the position and shape of the peak. The absorption band broadens as mass thickness increases, and its peak position exhibits red shift (516 nm for 7-nm film and 587 nm for 8-nm film).

Figure 4
figure4

Normalized absorbance of nanostructured Ag films with different mass thicknesses.

Bandwidth is governed by the silver particle size distribution. Silver particles tend to aggregate in clusters and the average size of individual cluster increases with film thickness, leading to broader absorption band.

Measurements of the optical absorption of films in different environments confirmed that the presence of gas molecules affects the absorption spectra. The results are presented in Figure 5. It was established that exposing the sample to CO2 leads to a slight blue shift of the absorption peak, band broadening, and a decrease in the maximum absorption level. The longer is the exposure time, the lower is the absorption at the peak position. The shift depends on the morphology on the film and is larger for the thicker films (or films with larger silver clusters). The effect of NO2 is considerably stronger in the sense that resonant absorption completely disappears.

Figure 5
figure5

Influence of nitrogen dioxide (bottom graph) and carbon dioxide environment on the optical absorption of silver films.

We assume that silver atoms react with neutral carbon dioxide to form Ag(CO) n complexes. Therefore, the amount of silver particles/clusters interacting with the incoming light decreases making the plasmon resonance less pronounced. At the same time, the contribution of created complexes is reflected in broadening of the spectra and overall decrease of absorption level. In case of NO2, the oxidizing reaction is possible, eventually leading to the formation of Ag+ cations, so the resonance related to neutral Ag0 atoms is not observed.

Conclusions

The morphology of the Ag films was reconstructed using statistical algorithms to resemble the morphology of real random structures, obtained by thermal deposition. The approach is suitable for film growth simulation and for film parameter calculations. Through electrodynamical calculations, it was shown that the local field amplification is well pronounced in nanostructured ultrathin silver films with island structure. From obtained intensity maps, it follows that light enhancement at the nanoscale in investigated structures should be more efficient in the UV and blue spectral region. Optical studies show the sensitivity of the visible absorption of silver nanostructured films to the surrounding atmosphere which can be potentially used to detect noxious gases such as CO2 or NO2.

References

  1. 1.

    Fryxell GE, Cao G. Environmental applications of nanomaterials: synthesis, sorbents and sensors. London: Imperial College Press; 2007. p. 507.

  2. 2.

    Su S, Wu W, Gao J, Lu J, Fan C. Nanomaterials-based sensors for applications in environmental monitoring. J Mater Chem. 2012;22:18101–10.

  3. 3.

    Liewhiran C, Tamaekong N, Wisitsora-at A, Phanichphant S. The monitoring of H2S and SO2 noxious gases from industrial environment with sensors based on flame-spray-made SnO2 nanoparticles. Eng J. 2012;16:123–34.

  4. 4.

    Chougule MA, Nalage SR, Sen S, Patil VB. Development of nanostructured ZnO thin film sensor for NO2 detection. J Exp Nanosci. 2014;9:482–90.

  5. 5.

    McFarland AD, Van Duyne RP. Single silver nanoparticles as real-time optical sensors with zeptomole sensitivity. Nano Lett. 2003;3:1057–62.

  6. 6.

    Stewart ME, Anderton CR, Thompson LB, Maria J, Gray SK, Rogers JA, et al. Nanostructured plasmonic sensors. Chem Rev. 2008;108:494–521.

  7. 7.

    Bellucci SS, Bolesta I, Karbovnyk I, Kolych I, Martyniv S, Velgosh S. Influence of silver clusters on the light absorption in CdBr2-Ag crystals. J Nanophotonics 2010; 4: 049503-1-049503-6. doi:10.1117/1.3364061.

  8. 8.

    Kitenge D, Joshi RK, Hirai M, Kumar A. Nanostructured silver films for surface plasmon resonance-based gas sensors. IEEE Sensors J. 2009;9:1797–801.

  9. 9.

    Tanabe K. Field enhancement around metal nanoparticles and nanoshells: a systematic investigation. J Phys Chem C. 2008;112:15721–8.

  10. 10.

    Karbovnyk I, Bolesta I, Rovetskii I, Velgosh S, Klym H. Studies of CdI2-Bi3 microstructures with optical methods, atomic force microscopy and positron annihilation spectroscopy. Mat Sci Poland. 2014;32:391–5.

  11. 11.

    Shuford KL, Ratner MA, Gray SK, Schatz GC. Finite-difference time-domain studies of light transmission through nanohole structures. Appl Phys B. 2006;84:11–8.

  12. 12.

    Yang P, Liou KN. Finite-difference time domain method for light scattering by small ice crystals in three-dimensional space. J Opt Soc Am A. 1996;13:2072–85.

  13. 13.

    Rakic AD, Djurisic AB, Elazar JM, Majewski ML. Optical properties of metallic films for vertical-cavity optoelectronic devices. Appl Optics. 1998;37:5271–83.

  14. 14.

    Li J, Dub Q, Sun C. An improved box-counting method for image fractal dimension estimation. Pattern Recogn. 2009;42:2460–9.

  15. 15.

    Bolesta IM, Kolych II, Kushnir AA, Karbovnyk ID, Collins JM, Gamernyk RV, et al. Local fields in nanostructured silver films. J Nanophotonics 2014; 4: 083087-1-049503-8. doi:10.1117/1.JNP.8.083087.

  16. 16.

    Aslan K, Leonenko Z, Lakowicz JR, Geddes CD. Annealed silver-island films for applications in metal-enhanced fluorescence: interpretation in terms of radiating plasmons. J Fluoresc. 2005;15:643–54.

Download references

Acknowledgements

This publication is based on work supported by a grant from the US Civilian Research & Development Foundation (CRDF Global). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of CRDF Global.

Author information

Correspondence to Ivan Karbovnyk.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

IK planned the experiments and performed the optical absorption measurements at ambient conditions. JC analyzed the structure of the samples. IB was responsible for the preparation of nanostructured films. AS performed the simulations of film morphology in 2D and 3D. AK calculated the local intensity for simulated structures. SV conducted the microscopy and spectroscopy experiments on the silver films. HK did the data processing and worked on the draft of the manuscript. OF conducted the measurements of CO2 and NO2 influence on the absorption spectra. ST arranged the chemical part of the experiment. IK analyzed the calculated data and made the comparison with discrete dipole approximation results. All authors read and approved the final manuscript.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0), which permits use, duplication, adaptation, distribution, and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Karbovnyk, I., Collins, J., Bolesta, I. et al. Random nanostructured metallic films for environmental monitoring and optical sensing: experimental and computational studies. Nanoscale Res Lett 10, 151 (2015) doi:10.1186/s11671-015-0855-x

Download citation

Keywords

  • Metal-dielectric films
  • Optical properties
  • Computer simulations