title: Flow cytometric analysis of microbial contamination in food industry technological lines--initial study.
abstract: BACKGROUND
  Flow cytometry constitutes an alternative for traditional methods of microorganisms identification and analysis, including methods requiring cultivation step. It enables the detection of pathogens and other microorganisms contaminants without the need to culture microbial cells meaning that the sample (water, waste or food e.g. milk, wine, beer) may be analysed directly. This leads to a significant reduction of time required for analysis allowing monitoring of production processes and immediate reaction in case of contamination or any disruption occurs. Apart from the analysis of raw materials or products on different stages of manufacturing process, the flow cytometry seems to constitute an ideal tool for the assessment of microbial contamination on the surface of technological lines.
  
  
  METHODS
  In the present work samples comprising smears from 3 different surfaces of technological lines from fruit and vegetable processing company from Greater Poland were analysed directly with flow cytometer. The measured parameters were forward and side scatter of laser light signals allowing the estimation of microbial cell contents in each sample.
  
  
  RESULTS
  Flow cytometric analysis of the surface of food industry production lines enable the preliminary evaluation of microbial contamination within few minutes from the moment of sample arrival without the need of sample pretreatment.
  
  
  CONCLUSIONS
  The presented method of fl ow cytometric initial evaluation of microbial state of food industry technological lines demonstrated its potential for developing a robust, routine method for the rapid and labor-saving detection of microbial contamination in food industry.
authors.affiliation: Department of Biotechnology and Food Microbiology, Poznań University of Life Sciences. w_juzwa@up.poznan.pl
authors.forename: Wojciech
authors.initials: W
authors.lastname: Józwa
authors.forename: Katarzyna
authors.initials: K
authors.lastname: Czaczyk
mesh_terms: D015169:Colony Count, Microbial; D005434:Flow Cytometry / Q000379:methods*; D005516:Food Microbiology; D059022:Food Safety; D005525:Food-Processing Industry; D005638:Fruit; D008828:Microbiological Techniques / Q000379:methods; D011044:Poland; D014675:Vegetables / Q000382:microbiology