Pedreira, A., Martínez-López, N., Vázquez, J. A., & García, M. R. (2024). Modelling the antimicrobial effect of food preservatives in bacteria: Application to Escherichia coli and Bacillus cereus inhibition with carvacrol. Journal of Food Engineering, 361, 111734. https://doi.org/10.1016/j.jfoodeng.2023.111734

Pedreira, A., Fernandes, S., Simões, M., García, M. R., & Vázquez, J. A. (2024). Synergistic Bactericidal Effects of Quaternary Ammonium Compounds with Essential Oil Constituents. Foods, 13(12), 1831. https://doi.org/10.3390/foods13121831

Pedreira, A., Vázquez, J. A., Romanenko, A., & García, M. R. (2024). Design and Validation of a PLC-Controlled Morbidostat for Investigating Bacterial Drug Resistance. Bioengineering, 11(8), 815. https://doi.org/10.3390/bioengineering11080815

Martínez-López, N., Vilas, C., & García, M. R. (2024). A birth–death model to understand bacterial antimicrobial heteroresistance from time-kill curves. Mathematical Biosciences, 376, 109278. https://doi.org/10.1016/j.mbs.2024.109278

Pérez-Rodríguez, M., López Cabo, M., Balsa-Canto, E., & García, M. R. (2023). Mechanisms of Listeria monocytogenes Disinfection with Benzalkonium Chloride: From Molecular Dynamics to Kinetics of Time-Kill Curves. International Journal of Molecular Sciences, 24(15), 12132. https://doi.org/10.3390/ijms241512132

Egea, J. A., García, M. R., & Vilas, C. (2023). Dynamic Modelling and Simulation of Food Systems: Recent Trends and Applications. Foods, 12(3), 557. https://doi.org/10.3390/foods12030557

Falcó, I., Tudela, J. A., Hernández, N., Pérez-Cataluña, A., García, M. R., Truchado, P., Garrido, A., Allende, A., Sánchez, G., & Gil, M. I. (2023). Antiviral capacity of sanitizers against infectious viruses in process water from the produce industry under batch and continuous conditions. Food Control, 150, 109738. https://doi.org/10.1016/j.foodcont.2023.109738

Pedreira, A., Vázquez, J. A., & García, M. R. (2022). Kinetics of Bacterial Adaptation, Growth, and Death at Didecyldimethylammonium Chloride sub-MIC Concentrations. Frontiers in Microbiology, 13. https://doi.org/10.3389/fmicb.2022.758237

Pérez-Rodríguez, M., Cabo, M. L., Balsa-Canto, E., & R. García, M. (2022). Mechanisms ofListeria monocytogenesdisinfection with Benzalkonium chloride: from molecular dynamics to kinetics of time-kill curves. https://doi.org/10.1101/2022.06.21.497115

García, M. R., Ferez-Rubio, J. A., & Vilas, C. (2022). Assessment and Prediction of Fish Freshness Using Mathematical Modelling: A Review. Foods, 11(15), 2312. https://doi.org/10.3390/foods11152312

EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, K., Allende, A., Alvarez‐Ordóñez, A., Bolton, D., Chemaly, M., Davies, R., De Cesare, A., Herman, L., Hilbert, F., Lindqvist, R., Nauta, M., Peixe, L., Ru, G., Simmons, M., Skandamis, P., Suffredini, E., Bekaert, K., Cropotova, J., et al. (2021). The use of the so‐called ‘superchilling’ technique for the transport of fresh fishery products [JB]. EFSA Journal, 19(1). https://doi.org/10.2903/j.efsa.2021.6378

Le, T. T. Y., Grabner, D., Nachev, M., García, M. R., Balsa-Canto, E., Peijnenburg, W. J. G. M., Hendriks, A. J., & Sures, B. (2021). Development of a toxicokinetic-toxicodynamic model simulating chronic copper toxicity to the Zebra mussel based on subcellular fractionation. Aquatic Toxicology, 241, 106015. https://doi.org/10.1016/j.aquatox.2021.106015

García, M. R., Suffredini, E., Messens, W., & Bover-Cid, S. (2021). Heat transfer model tool for the heat absorption capacity of superchilled fresh fishery products (HTM-SFFP Tool). Zenodo. https://doi.org/10.5281/ZENODO.4304283

Pedreira, A., Taşkın, Y., & García, M. R. (2021). A Critical Review of Disinfection Processes to Control SARS-CoV-2 Transmission in the Food Industry. Foods, 10(2), 283. https://doi.org/10.3390/foods10020283

Le, T. T. Y., Nachev, M., Grabner, D., Garcia, M. R., Balsa-Canto, E., Hendriks, A. J., Peijnenburg, W. J. G. M., & Sures, B. (2021). Modelling chronic toxicokinetics and toxicodynamics of copper in mussels considering ionoregulatory homeostasis and oxidative stress. Environmental Pollution, 287, 117645. https://doi.org/10.1016/j.envpol.2021.117645

Vilas, C., Mauricio-Iglesias, M., & García, M. R. (2020). Model-based design of smart active packaging systems with antimicrobial activity. Food Packaging and Shelf Life, 24, 100446. https://doi.org/10.1016/j.fpsl.2019.100446

Valcarcel, J., García, M. R., Varela, U. R., & Vázquez, J. A. (2020). Hyaluronic acid of tailored molecular weight by enzymatic and acid depolymerization. International Journal of Biological Macromolecules, 145, 788–794. https://doi.org/10.1016/j.ijbiomac.2019.12.221

Procopio, A., Cosentino, C., De Rosa, S., Garcia, M. R., Covello, C., Merola, A., Sabatino, J., De Luca, A., Indolfi, C., & Amato, F. (2020). Experimental Modeling and Identification of Cardiac Biomarkers Release in Acute Myocardial Infarction. IEEE Transactions on Control Systems Technology, 28(1), 183–195. https://doi.org/10.1109/tcst.2018.2849068

Valcarcel, J., García, M. R., Sampayo, L. F., & Vázquez, J. A. (2020). Marine chondroitin sulfate of defined molecular weight by enzymatic depolymerization. Carbohydrate Polymers, 229, 115450. https://doi.org/10.1016/j.carbpol.2019.115450

Yen Le, T. T., García, M. R., Grabner, D., Nachev, M., Balsa-Canto, E., Hendriks, A. J., Zimmermann, S., & Sures, B. (2020). Mechanistic simulation of bioconcentration kinetics of waterborne Cd, Ag, Pd, and Pt in the zebra mussel Dreissena polymorpha. Chemosphere, 242, 124967. https://doi.org/10.1016/j.chemosphere.2019.124967

García, M. R., Bekaert, K., Messens, W., & Bover-Cid, S. (2020). Temperature simulator of fish stored in tubs and boxes (FishT-TaB Simulator). Zenodo. https://doi.org/10.5281/ZENODO.3725616

EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, K., Allende, A., Alvarez‐Ordóñez, A., Bolton, D., Chemaly, M., Davies, R., De Cesare, A., Herman, L., Hilbert, F., Lindqvist, R., Nauta, M., Peixe, L., Ru, G., Simmons, M., Skandamis, P., Suffredini, E., Arason, S., Bekaert, K., et al. (2020). The use of the so‐called ‘tubs’ for transporting and storing fresh fishery products [JB]. EFSA Journal, 18(4). https://doi.org/10.2903/j.efsa.2020.6091

Iglesias, M. M., Vilas, C., & García, M. R. (2019). "Model-based design of smart active packaging systems with antimicrobial activity" Matlab codes. Zenodo. https://doi.org/10.5281/ZENODO.3244153

García, M. R., Vázquez, J. A., Teixeira, I. G., & Alonso, A. A. (2018). Stochastic Individual-Based Modeling of Bacterial Growth and Division Using Flow Cytometry. Frontiers in Microbiology, 8. https://doi.org/10.3389/fmicb.2017.02626

García, M. R., & Cabo, M. L. (2018). Optimization of E. coli Inactivation by Benzalkonium Chloride Reveals the Importance of Quantifying the Inoculum Effect on Chemical Disinfection. Frontiers in Microbiology, 9. https://doi.org/10.3389/fmicb.2018.01259

Le, T. T. Y., García, M. R., Nachev, M., Grabner, D., Balsa-Canto, E., Hendriks, A. J., & Sures, B. (2018). Development of a PBPK Model for Silver Accumulation in Chub Infected with Acanthocephalan Parasites. Environmental Science & Technology, 52(21), 12514–12525. https://doi.org/10.1021/acs.est.8b04022

García, M. R., Vázquez, J. A., Teixeira, I. G., & Alonso, A. A. (2018). Corrigendum: Stochastic Individual-Based Modeling of Bacterial Growth and Division Using Flow Cytometry. Frontiers in Microbiology, 9. https://doi.org/10.3389/fmicb.2018.00633

Vilas, C., Alonso, A. A., Herrera, J. R., Bernárdez, M., & García, M. R. (2018). A mathematical model to predict early quality attributes in hake during storage at low temperature. Journal of Food Engineering, 222, 11–19. https://doi.org/10.1016/j.jfoodeng.2017.11.005

García, M. R., Alonso, A. A., & Balsa-Canto, E. (2017). A Normalisation Strategy to Optimally Design Experiments in Computational Biology. 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 126–136. https://doi.org/10.1007/978-3-319-60816-7_16

Vilas, C., Alonso, A. A., Herrera, J. R., García-Blanco, A., & García, M. R. (2017). A model for the biochemical degradation of inosine monophosphate in hake ( Merluccius merluccius ). Journal of Food Engineering, 200, 95–101. https://doi.org/10.1016/j.jfoodeng.2016.12.016

García, M. R., Cabo, M. L., Herrera, J. R., Ramilo-Fernández, G., Alonso, A. A., & Balsa-Canto, E. (2017). Smart sensor to predict retail fresh fish quality under ice storage. Journal of Food Engineering, 197, 87–97. https://doi.org/10.1016/j.jfoodeng.2016.11.006

Balsa-Canto, E., Alonso, A. A., Arias-Méndez, A., García, M. R., López-Núñez, A., Mosquera-Fernández, M., Vázquez, C., & Vilas, C. (2016). Modeling and Optimization Techniques with Applications in Food Processes, Bio-processes and Bio-systems. Numerical Simulation in Physics and Engineering, 187–216. https://doi.org/10.1007/978-3-319-32146-2_4

Vilas, C., Arias-Méndez, A., García, M. R., Alonso, A. A., & Balsa-Canto, E. (2016). Toward predictive food process models: A protocol for parameter estimation. Critical Reviews in Food Science and Nutrition, 1–14. https://doi.org/10.1080/10408398.2016.1186591

García, M. R., Vilas, C., Herrera, J. R., Bernárdez, M., Balsa-Canto, E., & Alonso, A. A. (2015). Quality and shelf-life prediction for retail fresh hake (Merluccius merluccius). International Journal of Food Microbiology, 208, 65–74. https://doi.org/10.1016/j.ijfoodmicro.2015.05.012

Lopez-Caamal, F., Oyarzun, D. A., Middleton, R. H., & Garcia, M. R. (2014). Spatial Quantification of Cytosolic Ca<inline-formula><tex-math>$^{2+}$</tex-math></inline-formula> Accumulation in Nonexcitable Cells:An Analytical Study. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(3), 592–603. https://doi.org/10.1109/tcbb.2014.2316010

(2014). Correction: A Slow Axon Antidromic Blockade Hypothesis for Tremor Reduction via Deep Brain Stimulation. PLoS ONE, 9(8), e106145. https://doi.org/10.1371/journal.pone.0106145

Alonso, A. A., Arias-Méndez, A., Balsa-Canto, E., García, M. R., Molina, J. I., Vilas, C., & Villafín, M. (2013). Real time optimization for quality control of batch thermal sterilization of prepackaged foods. Food Control, 32(2), 392–403. https://doi.org/10.1016/j.foodcont.2013.01.002

Oyarzún, D. A., López-Caamal, F., García, M. R., Middleton, R. H., & Weiße, A. Y. (2013). Cumulative Signal Transmission in Nonlinear Reaction-Diffusion Networks. PLoS ONE, 8(5), e62834. https://doi.org/10.1371/journal.pone.0062834

García, M. R., Pearlmutter, B. A., Wellstead, P. E., & Middleton, R. H. (2013). A Slow Axon Antidromic Blockade Hypothesis for Tremor Reduction via Deep Brain Stimulation. PLoS ONE, 8(9), e73456. https://doi.org/10.1371/journal.pone.0073456

Francis, F., García, M. R., & Middleton, R. H. (2013). A single compartment model of pacemaking in dissasociated Substantia nigra neurons. Journal of Computational Neuroscience, 35(3), 295–316. https://doi.org/10.1007/s10827-013-0453-9

Lopez-Caamal, F., Garcia, M. R., & Middleton, R. H. (2012). Reducing computational time via order reduction of a class of reaction-diffusion systems. 2012 American Control Conference (ACC), 1494–1499. https://doi.org/10.1109/acc.2012.6315103

Francis, F., García, M. R., & Middleton, R. H. (2012). Energetics of Ion Transport in Dopaminergic Substantia nigra Neurons. Systems Biology of Parkinson’s Disease, 81–109. https://doi.org/10.1007/978-1-4614-3411-5_5

Lopez-Caamal, F., Garcia, M. R., Oyarzun, D. A., & Middleton, R. H. (2012). Analytic computation of the integrated response in nonlinear reaction-diffusion systems. 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 1047–1052. https://doi.org/10.1109/cdc.2012.6426397

García, M. R., Vilas, C., Santos, L. O., & Alonso, A. A. (2012). A robust multi-model predictive controller for distributed parameter systems. Journal of Process Control, 22(1), 60–71. https://doi.org/10.1016/j.jprocont.2011.10.008

López-Caamal, F., García, M. R., Middleton, R. H., & Huber, H. J. (2012). Positive feedback in the Akt/mTOR pathway and its implications for growth signal progression in skeletal muscle cells: An analytical study. Journal of Theoretical Biology, 301, 15–27. https://doi.org/10.1016/j.jtbi.2012.01.026

Garcia, M. R., Verwoerd, M., Pearlmutter, B. A., Wellstead, P. E., & Middleton, R. H. (2011). Deep brain stimulation may reduce tremor by preferential blockade of slower axons via antidromic activation. IEEE Conference on Decision and Control and European Control Conference, 6481–6486. https://doi.org/10.1109/cdc.2011.6160710

Alonso, A. A., García, M. R., & Vilas, C. (2010). Dynamic Modeling and Simulation for Robust Control of Distributed Processes and Bioprocesses. Process Systems Engineering, 369–401. Portico. https://doi.org/10.1002/9783527631209.ch71

Escaño, J. M., Bordons, C., Vilas, C., García, M. R., & Alonso, A. A. (2009). Neurofuzzy model based predictive control for thermal batch processes. Journal of Process Control, 19(9), 1566–1575. https://doi.org/10.1016/j.jprocont.2009.07.016

Garcia, M. R., Vilas, C., Alonso, A. A., & Balsa-Canto, E. (2008). REAL TIME OPTIMIZATION OF THE THERMAL PROCESSING OF BIOPRODUCTS. Acta Horticulturae, 802, 155–162. https://doi.org/10.17660/actahortic.2008.802.18

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