RNA Detection in air by means of Cosmic Rays interactions

The study research presented hereafter shows a new methodology to reveal traces of Viral particles thanks to their own chemical structure such as P31, an element making up part of the structure of RNA, a type of nucleic acid, such as in a virus, in an open space or a closed ambient ( typically an airport hall) detecting sub-atomic particles interactions with the air due to Cosmic Rays , an Outer Space free source .This is constructed with the use of adequate detectors (under development) looking in particular at the peculiar interactions of muons, cosmic rays relativistic particle segment, with the no living matter present as aerosol in the air.


Introduction
Cosmic rays [19,20], coming from outer space and travelling almost at the speed of light, produce a huge cascade of different relativistic particles interacting with air molecules at high altitude; these particles go through our atmosphere reaching deep layers below the ground. For our analysis regarding the Phosphorus characterization, we take into account the most relativistic particles at sea level, that is muons and muon produced photons. Viruses are obligate intracellular parasites composed of a nucleic acid surrounded by a protein coat, the capsid. Some viruses contain a lipid envelope, derived from the host, surrounding the capsid.
The nucleic acid found in viruses can consist of either RNA or DNA. The Coronaviridae, for example contain a single molecule of RNA consisting of about 30Kb [21]. RNA is composed of nucleotides, each containing a sugar (deoxyribose), a Nitrogen containing Base (Adenine, Uracil, Guanine, and Cytosine), and a phosphate group PO4. Members of the family Coronoviridae measure 80-160 nm in diameter. Ambient bacteria measure more than one μm in diameter, and containing different chemical components in fraction term, thus giving us the ability to distinguish between the two weighting the different spectrum and flux contribution.
It is here, in the phosphate group where most of the phosphate is located. There will also exist trace amounts of phosphate in viral proteins that contain the amino acid methionine. Hence, the vast majority of Phosphorus can be found in the genetic strand of RNA.
Consequently as a benchmark test we assumed as a marker of no living matter ( potentially a virus ) the Phosphorus present in the RNA, which, must be emphasized, is absent in the EPA pollutants list Table 1, and we use only Phosphorus just as a stress test to evaluate if our physical model and particle code were able to detect an isotope with concentrations from 1 ppm in air ( that means one atom of Phosphorus per one million of air molecules ) to 1.%, according to a composition of air and a simplified chemical form of a virus as a biological matter in air as reported in Fig 1 [1 ,2,3,4,5,6,16,21] with its own atom modelling. A simulation has been performed by means of the Monte Carlo particle code MCNPX [7] with the particles experimental cross section library ENDF/B-VI [7,8,9].
The particles source has been evaluated at different elevations as a point source shooting muon to the ground starting from a height of 50 m down to 2.5 m as shown in Figs 2-3-4 [10]. For the purpose of this study we conducted all our analyses at 2.5 m where the potential virus particles could affect a human being by inhalation. The source of muons at sea level is commonly known to be, approximately and on average, one muon per square centimeter per minute. The muons energy spectrum is shown in fig. 5 (ref. 11,12,19,20). the results). It has to be pointed out that multiple techniques have been used in MCNPX to get a good statistic; actually, the error associated to the numbers of the above figures are of the order of 1% or less. It also has to be underlined that even if the conditions of the data taken into account are at sea level, the results are still significant for higher elevations since the density of the air decreases, so that the interactions of cosmic rays decrease, but the amount of available cosmic rays increases so that to counterbalance the first effect.
The graphs below are showing the energy spectra and their different behaviours at 73 discrete energy bins for muon and photon particles.
The graphs Figs 6-7-8-9-10-11-13 have not been normalized , whereas the graphs Figs 12-14-15 have been normalized; particle fluences have been estimated on a sample detector design ( "The Babi Cube" which has an acquisition volume of 1m 3  As far as the photon behaviour is involved, an interesting energy spectrum amplifier phenomenon located at 0.05, 0.2, 2., 100. MeV can be seen and considered as a unique signature in contamination percentages, especially as reported in Fig-6-8-9-10-11. In open air, the photon contribution would need an imposed photon source in order to scaling up to detector fluence Fig 12. However, in closed areas its contribution could be effective due to the interaction with higher atomic elements present in the surrounding buildings' perimetry Per contra the muon behaviour shows an evolution which can be significant to discriminate the concentration of Phosphorus in air. Its spectrum (Fig 13) shows an interesting behaviour located at 0. it has to be highlighted that the channel 0.9 GeV is remarkable in the 1% case in term of fluence (Fig 14).
The 0.9-1 GeV and low band energy cascade channels are markers for 0%, 0.0001%, 0.01% and 1% showing different flux peaks. (Figs 15) Only the case 1% shows a low energy spectrum cascade starting from 800 MeV to 100 MeV. (Fig 13)

Summary
The study research proposed shows a potential new methodology approach regarding a physical model and its simulation performed by the Los Alamos National Laboratory MCNPX particle code demonstrate it's possible to identify low levels of contamination of Phosphorus (present in no living matter nucleic acid) mixed in air thus aiding in evaluating the energy spectra and associated particle fluxes of cosmic muons and muon produced photons.
It's really interesting the photon spectra and fluxes however that would require a impose external source for detection.
Regarding in particular the muon energy spectrum is potentially able to discriminate the different contamination concentrations thanks to 0.9 GeV, 1 GeV peaks and the low band <900 MeV present in the muon flux showing a unique trend pattern as a function of the contamination percentage in air. Every single contamination is unique in its own "spectrum particle signature" acting as a unique identifier in the detection process. Moreover, the discrimination ratio fm/fp (where fm and fp stand for muon and photon fluxes) can also be an "add on" technique to identify the contamination case under investigation and detectors can accordingly alarm its presence in the ambient with the potential ability to discriminate what kind of virus is present in the air.
It's also has to be underlined that the particle source (cosmic rays) cannot be altered or modified in order to falsify the ppm outcome of viruses in air, in other words, is a universal not disputable (and free) reference.

Outlook
Our team is designing an appropriate detector able to discriminate the particle spectra and fluxes. Its most relevant characteristics are an extremely large sensitive area and a high resolution for the discrimination of muons of energies significant for the determination of the 13 presence of viral phosphorus from other radiation components. A specific study for the definition of the detector parameters is in progress.
Moreover, our current research activity is focusing, with our Virology team, on a more complex virus characterization in order to discriminate different types of viruses such as Covid19, Ebola, common Flu.
Our Initial research approach and intention were studying and evaluating the feasibility of cosmic rays interactions in order to detect viral particles as we reported in our results. For that purpose and intention, the mixture homogenization process was acceptable to evaluate the PO4 group present in different quantities (Kb strands) as a function of the virus type under study.
For the discrimination porpoise we will describe every virus in a cluster configuration through a volumetric matrix grid cell in function of: type of encoded protein surface, type of core RNA-DNA strands and different Kb, leading to have a non-homogeneous medium giving us the ability to analyze, identify and discriminate our studying object through a spectrum analysis.
Moreover, because the secondary particle flux composed by photons(generated by muons) was too low in term of fluence we will studying also an external imposed photon source interacting with the same matrix cluster configuration in order to detect and discriminate the type of virus indoor too or outdoor.
The main reason about the choice of cosmic rays as a detection source is based not only on the fact that is a "free and undisputable reference" but also on the public safety/shielding requirements due to external X-rays bursts coming from an artificial potential photon source imposed.