RNA Identification and Detection of Nucleic Acids as Aerosols in Air Samples by Means of Photon and Electron Interactions

TL;DR

This paper introduces a novel Monte Carlo simulation-based method to detect viral nucleic acid aerosols in air samples by analyzing photon and electron interactions with specific atomic compositions.

Contribution

It presents a new approach for identifying viral RNA/DNA aerosols in air using photon-electron flux analysis and Monte Carlo simulations.

Findings

Effective detection of viral nucleic acids in aerosols.

Distinct photon-electron interaction signatures for different viral concentrations.

Potential application in airborne viral monitoring and diagnostics.

Abstract

This study presents a methodology to reveal traces of viral particles, as aerosol with known chemical and molecular structure, in a sample by means of photon and electron interactions. The method is based on Monte Carlo simulations and on the analysis of photon-electron fluxes-spectra through energy channels counts as a function of different aerosol viral concentrations in the air sample and looking at the peculiar photon/electron interactions with the potential abnormal atomic hydrogen (H), oxygen (O), carbon (C), and phosphorus (P) compositions present in the air sample as a function of living and nonliving matter with PO4 group RNA/DNA strands in a cluster configuration.