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Biofilms associated with brewery process can harbor spoiling microorganisms (i.e. Candida pelliculosa) that potentially damage the final product. Most beer-spoiling microorganisms have thought to depend on numerous interactions with the accompanying microbiota. Bacteria usually use “quorum sensing” signaling in various functions (e.g. during multispecies biofilms formation) and inhibition of this signaling could be one way to control biofilm formation. The aim of some part of this study was to evaluate the production of signaling molecules (AHSL), measurements of numerous chemical, physic and biochemical parameters as well as to define some secondary metabolites, which are traditionally viewed as toxins and to determine their correlation with the biofilm formation capability of bacteria isolated from cooling water system. In order to support the technical managers and in finding an appropriate mathematical model (such as index-prognose) for the characteristic of industrial water system, a computer simulations (small software) are essential to describe. That allows its users to perform forecasting of different microbiological problems. It seems clear that these new effective control strategies, such monitoring unwanted biofilm development, need to be always investigated and should be implemented for an identification of specific object-oriented situations and complicated interactions of the processes. The number of reactions and organism species that are involved in the system may be very large. Therefore, the model/index, has aimed for operation and control purposes as an integral part of a hierarchical control structure. In this case already performed some study on the mechanisms of biofilm formation, on the role of each colonizing bacterial species in biofilm formation, determination of resistance/sensitivity as well as some work on the characterization of microbial interactions between bacteria and other microorganisms, including fungi and protozoa. That study has been provide a more detailed picture on the complex interactions (“quorum sensing”) established in a real biofilm and their ecology. The application of few measured parameters as markers of microbial contamination in cooling system is of a high practical value for industry.
W publikacji przedstawiono wyniki badań próbek wody w kierunku wykrywania bakterii z rodzaju Legionella, z przemysłowych obiegów wody chłodniczej oraz systemów klimatyzacyjnych. Na 518 zbadanych próbek, pobranych w okresie od 1998 do 2006 roku, pałeczki Legionella zostały wykryte w 168 próbkach, co stanowiło 32,4% wszystkich zbadanych próbek. Najbardziej niebezpieczna Legionella pneumophila sg 1 była wykrywana w 11,3 % próbek pozytywnych. Niepokój budzi również wysoka liczba wyizolowanych bakterii z rodzaju Legionella (powyżej 103jtk/100ml), którą stwierdzono aż w 60% próbek wody pobranych z systemów wody chłodniczej i w 33% próbek wody związanych z klimatyzacją. Tak wysoki poziom zanieczyszczenia wymaga natychmiastowej interwencji (czyszczenie i dezynfekcja urządzeń). Uzyskane wyniki wskazują na realne zagrożenie zdrowotne jakie związane jest ze skażeniem wód chłodniczych pałeczkami Legionella. Należy zatem dążyć do powstania uregulowań prawnych, które nakładałyby obowiązek monitorowania wód chłodniczych w kierunku bakterii z rodzaju Legionella i prowadzenia odpowiednich działań naprawczych.
Biofilms associated with brewery process can harbor spoiling microorganisms (i.e. Candida pelliculosa) that potentially damage the final product. Most beer-spoiling microorganisms have thought to depend on numerous interactions with the accompanying microbiota. Bacteria usually use “quorum sensing” signaling in various functions (e.g. during multispecies biofilms formation) and inhibition of this signaling could be one way to control biofilm formation. The aim of some part of this study was to evaluate the production of signaling molecules (AHSL), measurements of numerous chemical, physic and biochemical parameters as well as to define some secondary metabolites, which are traditionally viewed as toxins and to determine their correlation with the biofilm formation capability of bacteria isolated from cooling water system. In order to support the technical managers and in finding an appropriate mathematical model (such as index-prognose) for the characteristic of industrial water system, a computer simulations (small software) are essential to describe. That allows its users to perform forecasting of different microbiological problems. It seems clear that these new effective control strategies, such monitoring unwanted biofilm development, need to be always investigated and should be implemented for an identification of specific object-oriented situations and complicated interactions of the processes. The number of reactions and organism species that are involved in the system may be very large. Therefore, the model/index, has aimed for operation and control purposes as an integral part of a hierarchical control structure. In this case already performed some study on the mechanisms of biofilm formation, on the role of each colonizing bacterial species in biofilm formation, determination of resistance/sensitivity as well as some work on the characterization of microbial interactions between bacteria and other microorganisms, including fungi and protozoa. That study has been provide a more detailed picture on the complex interactions (“quorum sensing”) established in a real biofilm and their ecology. The application of few measured parameters as markers of microbial contamination in cooling system is of a high practical value for industry.
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