Evidences of SARS-CoV-2 virus air transmission indoors using several untouched surfaces: A pilot study.

Nowadays, there is an important controversy about coronavirus air transmission. The aim of this study was to determine aerosol transmission from patients with coronavirus infection using "COVID-19 traps" that included different untouched surfaces within them. 42 swab samples of 6 different surfaces placed in the rooms of 6 patients with a positive diagnostic of COVID-19 were analyzed with RT-PCR technique to evaluate the presence of the virus and its stability. Samples were collected at 24, 48 and 72 h. Patients were in an intensive care unit (ICU) and in a COVID-19 ward unit (CWU) at a Spanish referral hospital. None of the samples placed in the ICU unit were positive for COVID-19. However, two surfaces, placed in a CWU room with a patient that required the use of respiratory assistance were positive for coronavirus at 72 h. Surfaces could not be touched by patients or health workers, so viral spreading was unequivocally produced by air transmission. Thus, fomites should be considered as a possible mode of transmission of coronavirus and frequent disinfection of surfaces should be taken into account. Our results, although preliminary, point the importance of SARS-CoV-2 virus air transmission indoors and may shed some light in this debate.

Sub-surface imaging of carbon nanotube-polymer composites using dynamic AFM methods.

High-resolution sub-surface imaging of carbon nanotube (CNT) networks within polymer nanocomposites is demonstrated through electrical characterization techniques based on dynamic atomic force microscopy (AFM). We compare three techniques implemented in the single-pass configuration: DC-biased amplitude modulated AFM (AM-AFM), electrostatic force microscopy (EFM) and Kelvin probe force microscopy (KPFM) in terms of the physics of sub-surface image formation and experimental robustness. The methods were applied to study the dispersion of sub-surface networks of single-walled nanotubes (SWNTs) in a polyimide (PI) matrix. We conclude that among these methods, the KPFM channel, which measures the capacitance gradient (∂C/∂d) at the second harmonic of electrical excitation, is the best channel to obtain high-contrast images of the CNT network embedded in the polymer matrix, without the influence of surface conditions. Additionally, we propose an analysis of the ∂C/∂d images as a tool to characterize the dispersion and connectivity of the CNTs. Through the analysis we demonstrate that these AFM-based sub-surface methods probe sufficiently deep within the SWNT composites, to resolve clustered networks that likely play a role in conductivity percolation. This opens up the possibility of dynamic AFM-based characterization of sub-surface dispersion and connectivity in nanostructured composites, two critical parameters for nanocomposite applications in sensors and energy storage devices.