Marco Bartocci

Dr. Marco Bartocci


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 January 2018 in Journal of Lightwave Technology
Verified
Journal Article
Closed access
DODaniel Onori
Daniel Onori
FSFilippo Scotti
Filippo Scotti
FLFrancesco Laghezza
Francesco Laghezza
MBMarco Bartocci
Marco Bartocci
AZAntonio Zaccaron
Antonio Zaccaron
PGPaolo Ghelfi
Paolo Ghelfi
An innovative and effective photonics-based RF spectrum scanner is presented and demonstrated enabling the detection in the 0.5 — 28.5 GHz range. The proposed receiver scans the whole frequency range at discrete steps, down-converting at baseband single portions of the detected spectrum, where they can be precisely acquired, without using RF bandpass filters nor optical filters. The wideband scansion is achieved by simply tuning an optical carrier only, avoiding the use of an RF synthesizer or of multiple parallel local oscillators. In more detail, the optical carrier is modulated by the detected RF signal through an electro-optical modulator, and photomixed with an optical local oscillator to down-convert the modulation sideband to baseband. The optical carrier also feeds an optical frequency comb generator - driven by a fixed RF oscillator at 1 GHz - whose output injects the local oscillator. This way, the optical carrier and oscillator are phase-locked and can be tuned at steps of 1 GHz. The developed demonstrator achieves an input range up to 28.5 GHz, and a simulative analysis suggests the capability of exceeding the 0.5 — 40 GHz range employing commercially available devices. Moreover, it shows a linear dynamic range of 160 dB/Hz and a spurious-free dynamic range of 109 dB/Hz2/3, aligned with state-of-the-art broadband RF receivers. The proposed solution appears to fulfill the performance requirements of the demanding electronic support measures applications, with the potentials for largely reducing the receiver size.

27 June 2023 in Viruses
Verified
Journal Article
Open access
PDF file
Antonio MannaAntonio Manna
Antonio Manna
DFDavide De Forni
Davide De Forni
MBMarco Bartocci
Marco Bartocci
Nicola PasculliNicola Pasculli
Nicola Pasculli
BPBarbara Poddesu
Barbara Poddesu
FLFranco Lori
Franco Lori
Coronaviruses are a family of viruses that cause disease in mammals and birds. In humans, coronaviruses cause infections on the respiratory tract that can be fatal. These viruses can cause both mild illnesses such as the common cold and lethal illnesses such as SARS, MERS, and COVID-19. Air transmission represents the principal mode by which people become infected by SARS-CoV-2. To reduce the risks of air transmission of this powerful pathogen, we devised a method of inactivation based on the propagation of electromagnetic waves in the area to be sanitized. We optimized the conditions in a controlled laboratory environment mimicking a natural airborne virus transmission and consistently achieved a 90% (tenfold) reduction of infectivity after a short treatment using a Radio Frequency (RF) wave emission with a power level that is safe for people according to most regulatory agencies, including those in Europe, USA, and Japan. To the best of our knowledge, this is the first time that SARS-CoV-2 has been shown to be inactivated through RF wave emission under conditions compatible with the presence of human beings and animals. Additional in-depth studies are warranted to extend the results to other viruses and to explore the potential implementation of this technology in different environmental conditions.

18 October 2023 in Viruses
Verified
Journal Article
Open access
PDF file
Antonio MannaAntonio Manna
Antonio Manna
DFDavide De Forni
Davide De Forni
MBMarco Bartocci
Marco Bartocci
Nicola PasculliNicola Pasculli
Nicola Pasculli
BPBarbara Poddesu
Barbara Poddesu
FLFranco Lori
Franco Lori
SARS-CoV-2 is inactivated in aerosol (its primary mode of transmission) by means of radiated microwaves at frequencies that have been experimentally determined. Such frequencies are best predicted by the mathematical model suggested by Taylor, Margueritat and Saviot. The alignment between such mathematical prediction and the outcomes of our experiments serves to reinforce the efficacy of the radiated microwave technology and its promise in mitigating the transmission of SARS-CoV-2 in its naturally airborne state.