The method for analysis, the method comprising:—obtaining a sample comprising elements coming from breath exhaled from a person (112);—exposing the sample to a spectrometer;—determining at least one value of a signal intensity and/or concentration of ions defined by its mass-to-charge ratio (m/z) given by the spectrometer in at least one range, the or each range being defined by a median value and limits of the range;—applying at least one test to the value, the range(s) and the test being configured for identifying that:—a person carries and/or is infected with SARS-CoV-2,—a person does not carry and/or is not infected with SARS-CoV-2,—a person suffers from COVID-19, and/or—a person does not suffer from COVID-19; and—communicating a message according to a result of the test.

The present invention features an optical detection system for SARS-CoV-2 or other pathogens, which includes a specialty mask. The specialty mask incorporates a SERS nanopatch for accumulating pathogenic particles from a wearers breath. When the SERS nanopatch receives incident NIR light, backscattered light from the SERS nanopatch is detected by a receiver and analyzed for a Raman spectral shift. Detection of the Raman spectral signature from the SERS nanopatch allows for determination if SARS-CoV-2 or another pathogen is present. In addition to the mask with a nanostructured surface for collecting pathogenic material, the system includes a laser source directed at the nanostructured surface, a detection system to collect backscattered light, a spectral analysis system to detect Raman shifted light, and an analysis system for determining if SARS-CoV-2 or another pathogen is present. AI image processing may be used to steer the laser beam safely to the nanopatch, avoiding eye contact.