Improvement of the national primary standard for the unit of radio-frequency noise spectral power density

Aderikhin, V. I.; Burenkov, Yu. A.; Sargsyan, M. V.; Uzdin, R. I.

doi:10.1007/s11018-013-0131-3

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…It is intuitively clear that the enhancement of SERS by a substrate is somehow related to its roughness; however, as far as we know, this relationship has not yet been quantified. In this paper we demonstrate that second order statistics, namely Power Spectral Density (PSD) analysis developed for signal processing, spectra, noise and other random processes [25][26][27][28], and which is in a wide use for surface roughness characterization [29][30][31][32][33][34][35], establishes a direct correlation of SERS abilities of metal structures and their topography. The use of PSD calculations, available, for example, using MatLab ® or Gwyddion ® software, provides a numerical criterion for evaluating the performance, thus optimizing the configuration of several specific SERS substrate types.…”

Section: Introductionmentioning

confidence: 99%

Power Spectral Density Analysis for Optimizing SERS Structures

Babich

Scherbak

Lubyankina

et al. 2022

Sensors

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The problem of optimizing the topography of metal structures allowing Surface Enhanced Raman Scattering (SERS) sensing is considered. We developed a model, which randomly distributes hemispheroidal particles over a given area of the glass substrate and estimates SERS capabilities of the obtained structures. We applied Power Spectral Density (PSD) analysis to modeled structures and to atomic force microscope images widely used in SERS metal island films and metal dendrites. The comparison of measured and calculated SERS signals from differing characteristics structures with the results of PSD analysis of these structures has shown that this approach allows simple identification and choosing a structure topography, which is capable of providing the maximal enhancement of Raman signal within a given set of structures of the same type placed on the substrate.

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