Kaarina Aarnisalo
VTT Technical Research Centre of Finland
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Featured researches published by Kaarina Aarnisalo.
Journal of Food Protection | 2003
Kaarina Aarnisalo; Tiina Autio; Anna-Maija Sjöberg; Janne Lundén; Hannu Korkeala; Maija-Liisa Suihko
A total of 486 Listeria monocytogenes isolates originating from 17 Finnish food processing plants (representing meat, poultry, fish, and dairy production) were collected and typed by automated ribotyping using EcoRI as the restriction enzyme. The isolates were divided into 16 different ribotypes (RTs). Some of these isolates (121), representing all EcoRI types and 16 food plants, were subjected to ribotyping with the PvuII enzyme, to pulsed-field gel electrophoresis (PFGE) typing with AscI and SmaI restriction enzymes, and to serotyping with O-antigen antisera. Nineteen ribotypes were generated with PvuII, 42 macrorestriction patterns were generated with AscI and 24 with SmaI, and three serotypes were generated with antisera. When the results were combined, the overall number of RTs was 23, and that of the PFGE types was 46. Thus, the overall discrimination power of PFGE was higher (discrimination index [DI] 0.966) than that of ribotyping (DI 0.906). The most common serotype (90.1% of the isolates) was 1/2, and isolates of serotype 4 (3.3%) were rare. There was no connection between food sectors and RTs or PFGE types, but PFGE indicated the single plants (78.3% of the types) better than ribotyping (56.5%). On the basis of its automation and on the availability of identification databases, automated ribotyping had some advantages over PFGE. Overall, automated ribotyping can be considered a practical and rapid tool when Listeria contamination is suspected and when screening a large number of isolates is necessary, e.g., when tracing contamination sources. However, in cases of outbreaks, the identical patterns must be confirmed by PFGE, which is a more discriminatory method.
Journal of Food Protection | 2001
Hanna Miettinen; Kaarina Aarnisalo; Satu Salo; Anna-Maija Sjöberg
The main objective of this study was to determine the level of surface contamination in fish processing factories and the presence of Listeria in the factory environment and products. Another objective was evaluation of the different hygiene-monitoring methods. Total aerobic heterotrophic and enterobacteria, yeast and mold samples were collected and ATP levels measured in 28 factories. The number of well or adequately washed and disinfected factories was small (2 of 28), in terms of total aerobic heterotrophic bacterial counts on the surfaces. Most surfaces contaminated with bacteria were heavily contaminated. Results of the ATP and the total bacteria contact agar slide methods were poorly correlated (r = 0.21) although 68% of the samples were categorized as good to moderate or unacceptable with both methods. The Listeria-positive surface samples usually contained increased numbers of total bacteria (70.9%). The contamination of products and raw fish together with Listeria spp. was 45% and with Listeria monocytogenes 12%. Cold smoked fish was the most contaminated, with 75% Listeria spp. and cold salted fish with 20% L. monocytogenes. Listeria innocua was found in the samples more than twice as often as L. monocytogenes.
Food Control | 2003
Pirkko Tuominen; Sebastian Hielm; Kaarina Aarnisalo; Laura Raaska; Riitta Maijala
The requirements of implementing Hazard Analysis and Critical Control Points (HACCP) principles in food production are increasing. A practical risk quantification model, HYGRAM, was developed for small and medium-sized enterprises to meet this challenge. The model makes the user familiar with the HACCP principles by software-assisted guidance through the procedure, connecting special microbiological hazards, good hygiene practice, and other prerequisite programs to HACCP. HYGRAM is a tool to analyze and quantify risks of different processes, and to compare them. It is developed to relieve enterprises with limited resources in confirming the food safety of their production.
Applied and Environmental Microbiology | 1999
Tiina Autio; Sebastian Hielm; Maria Miettinen; Anna-Maija Sjöberg; Kaarina Aarnisalo; Johanna Björkroth; Tiina Mattila-Sandholm; Hannu Korkeala
Journal of Food Safety | 2000
Kaarina Aarnisalo; Satu Salo; Hanna Miettinen; Maija-Liisa Suihko; Gun Wirtanen; Tiina Autio; Janne Lundén; Hannu Korkeala; Anna-Maija Sjöberg
Food Control | 2006
Kaarina Aarnisalo; Kaija Tallavaara; Gun Wirtanen; Riitta Maijala; Laura Raaska
Lwt - Food Science and Technology | 2007
Kaarina Aarnisalo; Janne Lundén; Hannu Korkeala; Gun Wirtanen
International Journal of Food Microbiology | 2007
Kaarina Aarnisalo; Shiowshuh Sheen; Laura Raaska; Ml Tamplin
Food Control | 2006
Sebastian Hielm; Pirkko Tuominen; Kaarina Aarnisalo; Laura Raaska; Riitta Maijala
International Journal of Food Microbiology | 2008
Kaarina Aarnisalo; Elina J. Vihavainen; Leila Rantala; Riitta Maijala; Maija-Liisa Suihko; Sebastian Hielm; Pirkko Tuominen; Jukka Ranta; Laura Raaska