Plasma Treatment for Mould Inactivation on Building Materials: Surface Coverage Evaluation with Automated Image Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F24%3A00379605" target="_blank" >RIV/68407700:21110/24:00379605 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.11159/icceia24.142" target="_blank" >http://dx.doi.org/10.11159/icceia24.142</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11159/icceia24.142" target="_blank" >10.11159/icceia24.142</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Plasma Treatment for Mould Inactivation on Building Materials: Surface Coverage Evaluation with Automated Image Analysis

Popis výsledku v původním jazyce

Moulds are common microorganisms capable of rapid proliferation under favourable conditions. Building materials that are moist or damaged by water are particularly prone to mould colonization, which can have adverse effects on both occupants and buildings. Key factors influencing mould growth include relative humidity, temperature, nutrients, type of mould species, and microstructure of the material. Recent studies have shown that low-temperature atmospheric pressure plasma can effectively inactivate a broad spectrum of microorganisms by generating reactive species that are lethal to cells [1, 2]. In this research, specimens of autoclaved building materials (e.g., plasterboard, fibreboard) were placed on agar plates and artificially inoculated with Aspergillus brasiliensis spores. All samples were conditioned at a constant temperature and relative humidity. During various phases of mould growth, they were exposed to plasma generated by diffuse coplanar surface barrier discharge in ambient air [3]. Photographs taken daily during the incubation period were analyzed using image analysis, providing swift and nondestructive assessment. ImageJ is a widely used software due to its interactive workflow and high extensibility via plugins. However, it faces challenges regarding FAIR (Findability, Accessibility, Interoperability, Reusability) principles and batch processing. Analyzing hundreds or thousands of digital images is time-consuming and error-prone. In our case, for surface coverage evaluation, we utilized the open-source software JIPipe, which incorporates visual programming into the ImageJ ecosystem.

Název v anglickém jazyce

Plasma Treatment for Mould Inactivation on Building Materials: Surface Coverage Evaluation with Automated Image Analysis

Popis výsledku anglicky

Moulds are common microorganisms capable of rapid proliferation under favourable conditions. Building materials that are moist or damaged by water are particularly prone to mould colonization, which can have adverse effects on both occupants and buildings. Key factors influencing mould growth include relative humidity, temperature, nutrients, type of mould species, and microstructure of the material. Recent studies have shown that low-temperature atmospheric pressure plasma can effectively inactivate a broad spectrum of microorganisms by generating reactive species that are lethal to cells [1, 2]. In this research, specimens of autoclaved building materials (e.g., plasterboard, fibreboard) were placed on agar plates and artificially inoculated with Aspergillus brasiliensis spores. All samples were conditioned at a constant temperature and relative humidity. During various phases of mould growth, they were exposed to plasma generated by diffuse coplanar surface barrier discharge in ambient air [3]. Photographs taken daily during the incubation period were analyzed using image analysis, providing swift and nondestructive assessment. ImageJ is a widely used software due to its interactive workflow and high extensibility via plugins. However, it faces challenges regarding FAIR (Findability, Accessibility, Interoperability, Reusability) principles and batch processing. Analyzing hundreds or thousands of digital images is time-consuming and error-prone. In our case, for surface coverage evaluation, we utilized the open-source software JIPipe, which incorporates visual programming into the ImageJ ecosystem.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20101 - Civil engineering

Projekt

<a href="/cs/project/GA22-06621S" target="_blank" >GA22-06621S: Inaktivace růstu plísní na površích stavebních materiálů pomocí nízkoteplotního atmosférického plazmatu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 10th World Congress on New Technologies (NEWTECH 2024)

ISBN

978-1-990800-45-0

ISSN

2369-8128

e-ISSN

2369-8128

Počet stran výsledku

2

Strana od-do

"142-1"-"142-2"

Název nakladatele

Avestia Publishing, International ASET Inc.

Místo vydání

Ottawa

Místo konání akce

Barcelona

Datum konání akce

25. 8. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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