The Microorganism Detection System (SDM) for microbiological control of cosmetic products.

Journal: Annals of agricultural and environmental medicine : AAEM
Published Date:

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.

Authors

  • Paweł Zawadzki
    Institute of Theory of Electrical Engineering, Measurement and Information Systems, University of Technology, Warsaw, Poland.
  • Piotr Adamczuk
    Institute of Rural Health, Lublin, Poland.
  • Konrad Jamka
    Institute of Rural Health, Lublin, Poland.
  • Paula Wróblewska-Łuczka
    Department of Occupational Medicine, Medical University, Lublin, Poland.
  • Hubert Bojar
    Institute of Rural Health, Lublin, Poland.
  • Grzegorz Raszewski
    Institute of Rural Health, Lublin, Poland.