Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1522
DC Field | Value | Language |
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dc.contributor.author | Ancuta, Paul-Nicolae | - |
dc.contributor.author | Atanasescu, Anca | - |
dc.contributor.author | Sorea, Sorin | - |
dc.contributor.author | Stanciu, Danut Iulian | - |
dc.contributor.author | Lucaciu, Irina | - |
dc.contributor.author | Stoica, Catalina | - |
dc.contributor.author | Nita-Lazar, Mihai | - |
dc.contributor.author | Banciu, Alina | - |
dc.date.accessioned | 2019-10-22T09:33:41Z | - |
dc.date.available | 2019-10-22T09:33:41Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 1454-8658 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/1522 | - |
dc.description | Control Engineering and Applied Informatics, vol. 21, nr. 2, pag. 54-63, 2019 | en_US |
dc.description.abstract | European organizations involved in updating water management regulations (WHO, OECD) insist in recent years on the need to improve methods for assessing and managing microbiological , physical and chemical safety of drinking water . Data obtained as a result of water quality monitoring should become a starting point for risk management actions. The paper is mainly focused on presenting a highly efficient software application used to implement a more rapid microbiological method to detect pathogenic bacteria for human health, based on bacterial specific antibody-antigen interaction (Ag-Ab) , namely immunofluorescence technique , and microscopic digital image processing. Laboratory tests have proven that the proposed solution is reliable, stable and time-efficient for preventing microbiological contamination of drinking water. This application software, the method and related instrumentation that the paper presents are parts of a demonstrative modular model which monitors water quality. The first module consists of instrumentation and software that serve a methodology applied to detect pathogenic bacteria in drinking water samples. The second module performs data transmission and storage in a relational database and enables real-time data visualization. | en_US |
dc.description.sponsorship | This paper was supported by a grant of the Romanian National Authority for Scientific Research and Innovation CNCS/CCCDI-UEFISCDI, project number PN-III-P2-2.1-PED-2016-0965 within PNCDI III. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Water quality | en_US |
dc.subject | Digital image processing | en_US |
dc.subject | Digital filters | en_US |
dc.subject | Image segmentation | en_US |
dc.title | Bacterial Monitoring of Drinking Water Sources Using Immunofluorescence technique, Image Processing Software and Web-based Data Visualisation | en_US |
dc.type | Article | en_US |
item.grantfulltext | open | - |
item.languageiso639-1 | en_US | - |
item.openairetype | Article | - |
item.fulltext | With Fulltext | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | National Research and Development Institute for Industrial Ecology, ECOIND | - |
crisitem.author.dept | National Research and Development Institute for Industrial Ecology, ECOIND | - |
crisitem.author.dept | National Research and Development Institute for Industrial Ecology, ECOIND | - |
crisitem.author.dept | National Research and Development Institute for Industrial Ecology, ECOIND | - |
crisitem.author.orcid | 0000-0001-6413-3003 | - |
crisitem.author.orcid | 0000-0003-1352-157X | - |
crisitem.author.orcid | 0000-0002-5099-1311 | - |
crisitem.author.orcid | 0000-0002-2347-508X | - |
Appears in Collections: | Articles |
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5953-14897-1-PB.pdf | 742.16 kB | Adobe PDF | View/Open |
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