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4/2021 vol. 28
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BRIEF COMMUNICATION
The Microorganism Detection System (SDM) for microbiological control of cosmetic products
Paweł Zawadzki 1,2
,
 
Piotr Adamczuk 3
,
 
Konrad Jamka 3
,
 
Paula Wróblewska-Łuczka 4,2
,
 
Hubert Bojar 3
,
 
Grzegorz Raszewski 3
 
 
 
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1
Institute of Theory of Electrical Engineering, Measurement and Information Systems, University of Technology, Warsaw, Poland
 
2
NVT Limited Liability Company, Warsaw, Poland
 
3
Institute of Rural Health, Lublin, Poland
 
4
Department of Occupational Medicine, Medical University, Lublin, Poland
 
 
Corresponding author
Grzegorz Raszewski   

Institute of Rural Health, Jaczewskiego 2, 20-090, Lublin, Poland
 
 
Ann Agric Environ Med. 2021;28(4):705-708
DOI: https://doi.org/10.26444/aaem/144668
 
 
Article (PDF)
References (17)
 
KEYWORDS
artificial intelligence
detection of microorganisms
image interpretation algorithm
microbiological safety
 
TOPICS
State of the health of rural communities depending on various factors: social factors, accessibility of medical care, etc.
 
ABSTRACT
The Microorganism Detection System (SDM) is a new solution using artificial intelligence, unique on the international scale, to correctly identify and count microorganisms, with particular emphasis on specificlisted microorganisms (Document of Standard PN-EN ISO 17516–2014:11) – Candida albicans, Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus. SDM enables the use of algorithms for microscopic image interpretation in the microbiological assessment of the cosmetics in accordance with the standard, providing an answer to whether the tested product complies with the standard. Apart from the software part of SDM, an integral part of the system is an innovative methodology for preparing a cosmetic sample for testing. The experiments confirm the high sensitivity and specificity of the SDM method, its repeatability and, above all, the comparability of the results with the methods of European standards.
ACKNOWLEDGEMENTS
The project was co-financed by the European Union from the European Regional Development Fund under the Intelligent Development programme. The project implemented under the competition 1 / 4.1.4 / 2018 / POIR: ‘Microorganism detection system – SDM’, National Centre for Research and Development.
 
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