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Sökning: WFRF:(Puglisi Donatella 1980 ) > (2022)

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1.
  • Domènech-Gil, Guillem, Mr. Doctor, et al. (författare)
  • A Virtual Electronic Nose for the Efficient Classification and Quantification of Volatile Organic Compounds
  • 2022
  • Ingår i: Sensors. - : MDPI. - 1424-8220. ; 22:19, s. 7340-7354
  • Tidskriftsartikel (refereegranskat)abstract
    • Although many chemical gas sensors report high sensitivity towards volatile organic compounds (VOCs), finding selective gas sensing technologies that can classify different VOCs is an ongoing and highly important challenge. By exploiting the synergy between virtual electronic noses and machine learning techniques, we demonstrate the possibility of efficiently discriminating, classifying, and quantifying short-chain oxygenated VOCs in the parts-per-billion concentration range. Several experimental results show a reproducible correlation between the predicted and measured values. A 10-fold cross-validated quadratic support vector machine classifier reports a validation accuracy of 91% for the different gases and concentrations studied. Additionally, a 10-fold cross-validated partial least square regression quantifier can predict their concentrations with coefficients of determination, R-2, up to 0.99. Our methodology and analysis provide an alternative approach to overcoming the issue of gas sensors selectivity, and have the potential to be applied across various areas of science and engineering where it is important to measure gases with high accuracy.
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2.
  • Fraschetti, Elena, et al. (författare)
  • Characterization of Disposable Facemasks for COVID-19 Through Colorimetric Analysis
  • 2022
  • Ingår i: NanoInnovation 2021. - : Institute of Physics (IOP).
  • Konferensbidrag (refereegranskat)abstract
    • Many aspects of the world population's daily life have been recently changed by the events following the SARS-COV-2 pandemic outbreak. Among all the consequences, wearing face masks has become a common routine to protect from virus transmission risks. This work presents a simple colorimetric system able to detect the carbon dioxide (CO2) saturation inside a disposable face mask, which is useful to determine the level of wear and degradation and to visually provide indications on its disposal time. The experiments were carried out by wearing a FFP2 face mask externally treated with a phenolphthalein solution and including in its breathing zone a CO2 sensor. Changes in face mask color were recorded by a camera and analyzed with ImageJ. A strong correspondence was found between the high values of CO2 detected by the sensor and the analyzed data. The results are promising and suggest further efforts in developing easy-to-use colorimetric methods as a visual indicator of the life cycle of a disposable face mask.
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