I am PI of the project "ControlAR: Model-based process engineering to CONTROL Antimicrobial Resistance for the food industry 4.0" (Web page ControlAR). RTI2018-093560-J-I00 (MCIU/AEI/FEDER, UE).
This project is a continuation of "RESISTANCE: Development of models and efficient numerical tools for the control of bacterial RESISTANCE to antimicrobials in the food industry" (Web page RESISTANCE). DPI2014-54085-JIN
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Attending XLII Jornadas de Automática Castellón 2021 to present our group "Comparing Stochastic MOdels of Bacterial Growth at Different scales (only abstract in English)". Download the work in this link
We hare happy to anounce that the proyect 20213AT001 Atracción de Talento para RYC2019 (proyectos intramurales especiales CSIC) starts this month. The title and the objective is the development of "Multiscale mechanistic dynamic modelling of the CHEmical and biochemical effect on the growth and death of BACteria (ChemBac)"
We welcome Jose Antonio Férez to our group. He has been working on different statistical methods (Multivariable analysis, Bayesian Networks...) applied to medicine.
Our "Critical Review of Disinfection Processes to Control SARS-CoV-2 Transmission in the Food Industry" was finally accepted for publication in the Foods journal. This was a collaboration between Adrián Pedreira and Míriam R. García with Yeşim Taşkın (with a EIT Food RIS Fellowship in our group). The review discussed the importance of considering the one-health approach when optimizing disinfection, and avoid misused and overused of disinfectants that may act as drivers of antimicrobial bacterial resistance.
We have presented our Morbidostat in the annual gathering of our Institute (Encontrols IIM: segunda fase), with a POSTER about "The Morbidostat. Unravelling bacterial evolution under antimicrobial stress". The poster was presented by Adrián Pedreira (follow his twitter account @adrian_pedreira for updates about the device)
Míriam R. García has started his contract as Ramón y Cajal fellow (RYC2019-028006-I/AIE/10.13039/501100011033)
The ControlAR project starts: "ControlAR: Model-based process engineering to CONTROL Antimicrobial Resistance for the food industry 4.0". RTI2018-093560-J-I00 (MCIU/AEI/FEDER, UE)
We congratulate and wish the best of luck to Laura Honrubia. She defended her end-of-degree project to obtain the degree of BSc Biomedical Sciences (Universitat de Lleida) with the second-best mark. Her work was focused on "Optimization of Benzalkonium Chloride treatment in the disinfection of L. monocytogenes in the Food Industry". See document here
Kick-off meeting of the project SeafoodAge. This is an INTERREG project I am participating to "Smart and eco-innovative seafood processes and products for a healthy ageing. See updates here
2nd meeting of the working group on the use of "tubs" for fresh fishery products (minutes)
I have participated as a specialist into the 147 European Study Group with Industry. A gathering of industrial scientists and academic mathematicians to work on problems affecting the industry. Our task was to identify control parameters of a wind turbine given its aeroelastic model, certain control logic and measurments of such turbine in operation
I have been assigned the role of MEMBER in EFSA BIOHAZ WG on the use of "tubs" for fresh fishery products (M-2019-0023 /// EFSA-Q-2019-00053).
Attending the Spanish Annual Workshop in Automatica (XXXIX Jornadas de Automática) to present a work in collaboration with Miguel Mauricio about "Computer-Aided Design of Active Packaging/Food System for extended shelf life"
Our work was selected for a IFAC conference talk. The research focused on modelling cell size variability using flow cytometry and it will be presented in October in FOSBE
Attending the FoodMicro 2016 Conference. Here we present a poster about designing a smart sensor for predicting cod quality and shelf-life (Poster) . They were very interesting sessions about AMR and Risk analysis, see the abstracts of the conference here
Jorge Macridachis has started his Master intership. During three months he will model the growth of Lactococcus lactis, one of the most important microorganisms in the dairy industry. Using the software AMIGO2 and experimental data provided by our collaborator Marta López Cabo, he will explore aspects related with parameter uncertainty and optimal experimental desing.