Research Output per year
Research Output per year
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Dive into the research topics where Veronica Martinez Rios is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research Output
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Antimicrobial effect of nisin in processed cheese - Quantification of residual nisin by LC-MS/MS and development of new growth and growth boundary model for Listeria monocytogenes
Martinez Rios, V., Pedersen, M., Pedrazzi, M., Gkogka, E., Smedsgaard, J. & Dalgaard, P., 2021, In : International Journal of Food Microbiology. 338, 108952.Research output: Contribution to journal › Journal article › Research › peer-review
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Predicting growth of Listeria monocytogenes at dynamic conditions during manufacturing, ripening and storage of cheeses – Evaluation and application of models
Martinez Rios, V., Gkogka, E. & Dalgaard, P., 2020, In : Food Microbiology. 92, 12 p., 103578.Research output: Contribution to journal › Journal article › Research › peer-review
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Cardinal parameter model containing a new nisin term to predict growth of listeria monocytogenes in prosessed cheese
Martinez Rios, V., Pedersen, M., Pedrazzi, M., Gkogka, E., Smedsgaard, J. & Dalgaard, P., 2019. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Open AccessFile23 Downloads (Pure) -
FSSP v. 5.0 – A new software with predictive models for a range of dairy products
Dalgaard, P., Cowan, B. J. & Martinez Rios, V., 2019. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Open AccessFile133 Downloads (Pure) -
Growth and growth boundary model with terms for melting salts to predict growth responses of Listeria monocytogenes in spreadable processed cheese
Martinez Rios, V., Jørgensen, M. Ø., Koukou, I., Gkogka, E. & Dalgaard, P., 2019, In : Food Microbiology. 84, 11 p., 103255.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile
Projects
- 5 Finished
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Predictive food microbiology tool for risk assessment and documentation of food safety
Martinez Rios, V. & Dalgaard, P.
01/08/2015 → 31/07/2018
Project: Research
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Predictive food microbiology - new models for safety and quality assessment of a broad range of dairy products
Martinez Rios, V., Dalgaard, P., Smedsgaard, J., Mejlholm, O., Nauta, M. & Skandamis, P. N.
01/08/2015 → 19/06/2019
Project: PhD
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Development and validation of extensive growth and growth boundary models for psychrotolerant pseudomonads in seafood, meat and vegetable products
07/01/2015 → 31/08/2016
Project: Research
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Extensive cardinal parameter model to predict growth of pseudomonads in salt-reduced lightly preserved seafood
07/01/2015 → 30/11/2015
Project: Research
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Modelling growth of psychrotolerant pseudomonads in dairy products
07/03/2014 → 06/01/2015
Project: Research
Activities
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Parma Summer School 2020
Veronica Martinez Rios (Organizer)
9 Jun 2020 → 10 Jun 2020Activity: Attending an event › Participating in or organising a conference
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DAIRY-PREDICT- new models for safety and quality assessment of a broad range of dairy products. Presentation of PhD-results to industrial partner.
Veronica Martinez Rios (Guest lecturer)
18 Jun 2019Activity: Talks and presentations › Talks and presentations in private or public companies and organisations
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FSSP v. 5.0 – A new software with predictive models for a range of dairy products
Veronica Martinez Rios (Guest lecturer)
13 Jun 2019Activity: Talks and presentations › Talks and presentations in private or public companies and organisations
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Predictive microbiology - coverting predictions into practice
Veronica Martinez Rios (Invited speaker)
27 Mar 2019Activity: Talks and presentations › Conference presentations
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26th International ICFMH Conference - FoodMicro 2018
Ioulia Koukou (Participant), Paw Dalgaard (Participant) & Veronica Martinez Rios (Participant)
3 Sep 2018Activity: Attending an event › Participating in or organising a conference
Press / Media
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Ny software kan forudsige listeria I oste
Paw Dalgaard & Veronica Martinez Rios
24/01/2018
1 Media contribution
Press/Media: Press / Media