Comparison of the degree of microbiological contamination of selected closed rooms using the method of fast detection with a multi-sensor matrix
Artykuł w czasopiśmie
MNiSW
40
Lista 2021
Status: | |
Autorzy: | Malec Agnieszka, Garbacz Monika, Guz Łukasz, Suchorab Zbigniew |
Dyscypliny: | |
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Rok wydania: | 2021 |
Wersja dokumentu: | Drukowana | Elektroniczna |
Język: | angielski |
Wolumen/Tom: | 1736 |
Numer artykułu: | 012017 |
Strony: | 1 - 10 |
Scopus® Cytowania: | 0 |
Bazy: | Scopus |
Efekt badań statutowych | NIE |
Materiał konferencyjny: | TAK |
Nazwa konferencji: | V International Conference of Computational Methods in Engineering Science |
Skrócona nazwa konferencji: | CMES 2020 |
URL serii konferencji: | LINK |
Termin konferencji: | 23 listopada 2020 do 26 listopada 2020 |
Miasto konferencji: | Lviv |
Państwo konferencji: | UKRAINA |
Publikacja OA: | TAK |
Licencja: | |
Sposób udostępnienia: | Witryna wydawcy |
Wersja tekstu: | Ostateczna wersja opublikowana |
Czas opublikowania: | W momencie opublikowania |
Data opublikowania w OA: | 25 stycznia 2021 |
Abstrakty: | angielski |
The problem of microbiological contamination has been an important issue in the construction and environmental industry for many years. The concept of Sick Building Syndrome (SBS) means a combination of different health conditions, which can be eradicated by being in a specific interior. The basic prerequisite for an effective analysis of the issue is a detailed knowledge of its causes and consequences for people. In many cases, the reason for SBS is an increase in humidity of building partitions, but also excessive humidity in closed rooms, which becomes the cause of microbiological contamination of building objects. These factors create appropriate conditions for the development of microorganisms, adversely affecting the durability of the building, its technical condition, and above all the health of residents. This article presents a comparison of two rooms of technical nature, characterised by a different degree of microbiological load. For the analysis, a room with a high degree of microbiological contamination and a room in which high quality internal air quality is maintained were selected.The degree of a microbiological load will be determined on the basis of sensory measurements carried out with the use of microbiological, chemical, and rapid detection method using a multi-sensor matrix. The multi-sensor matrix forms the basis for electronic nose technology, which can also be used to assess internal air quality. |