Biosystem & Bioprocesses Engineering
From mathematical modeling and computer-aided simulation to design, control and optimization of bioprocesses and biological systems.
The world around us can be explained to a great extent by understanding the systems that compose it and the processes that connect them.
The IIM-CSIC's Biosystem & Bioprocess Engineering group seeks to develop new methods and tools (mainly software) for process systems engineering, which enable the simulation, optimization and control of bioprocesses, such as those involved in food processing and preservation and in industrial biotechnology.
The group applies process systems engineering methods to improve the efficiency of key industrial processes, reducing their environmental impact and improving the quality and safety of their products.
Its focus is model identification, optimization, monitoring and robust control of non-linear dynamic systems, including distributed parameter systems (convection-diffusion-reaction). The group considers a broad spectrum of applications, namely fisheries management, food processing, quality and safety—including antimicrobial resistance—and industrial biotechnology.
- GELFISH -
<p>Producción de oleogeles marinos para la valorización de descartes hacia una pesca costera artesanal sostenible</p>
Principal investigator:TaboadaAnteloLuisFunding body:Proyecto financiado por el Programa Pleamar de la Fundación Biodiversidad, cofinanciados por el Fondo Marítimo de Pesca y de Acuicultura (FEMPA)Funding for IIM-CSIC:351378€Go to project pageFromto - PERIZIA -
<p>Conservación y explotación sostenible de las poblaciones de erizo mediante tecnologías innovadoras basadas en inteligencia artificial</p>
Principal investigator:TaboadaAnteloLuisFunding body:Proyecto financiado por el Programa Pleamar de la Fundación Biodiversidad, cofinanciados por el Fondo Marítimo de Pesca y de Acuicultura (FEMPA)Funding for IIM-CSIC:303205€Go to project pageFromto - DigitAlg -
<p>Programa Ciencias Mariñas: Xemelgo dixital do cultivo de algas na acuicultura multitrófica integrada</p>
Principal investigator:BalsaCantoEvaFunding body:El Programa de Ciencias Mariñas de Galicia es 1 de los 5 programas de Ciencias Marinas de los Planes Complementarios de I+D+I del Plan de Recuperación Transformación y Resilencia. Financiado por FEMP/FEMPA.Funding for IIM-CSIC:122667€Go to project pageFromto - ATOPES -
<p>Programa Ciencias Mariñas: Aplicación de Tecnoloxías Innovadoras para a Obtención de Datos Pesqueiros</p>
Principal investigator:TaboadaAnteloLuisFunding body:El Programa de Ciencias Mariñas de Galicia es 1 de los 5 programas de Ciencias Marinas de los Planes Complementarios de I+D+I con las CCAA del Plan de Recuperación Transformación y Resilencia (NextGenerationEU).Funding for IIM-CSIC:137391€Go to project pageFromto - DATAMARE -
<p>Programa Ciencias Mariñas: Plataforma integrada de datos mariños</p>
Principal investigator:VeloLanchasAntónFunding body:El Programa de Ciencias Mariñas de Galicia es 1 de los 5 programas de Ciencias Marinas de los Planes Complementarios de I+D+I con las CCAA del Plan de Recuperación Transformación y Resilencia (NextGenerationEU).Funding for IIM-CSIC:112585€Go to project pageFromto
- 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 DOI:10.3389/fmicb.2022.758237
- Ovalle, J.C.; Vilas, C.; Antelo, L.T. (2022) On the use of deep learning for fish species recognition and quantification on board fishing vessels Marine Policy DOI:10.1016/j.marpol.2022.105015
- González, P.; Osorio, R.R.; Pardo, X.C.; Banga, J.R.; Doallo, R. (2022) An efficient ant colony optimization framework for HPC environments Applied Soft Computing Journal DOI:10.1016/j.asoc.2021.108058
- Otero-Muras I; Banga JR (2021) Synthetic Gene Circuit Analysis and Optimization " Computational Methods in Synthetic Biology" Humana Press / Springer ISBN:978-1-0716-0822-7
- Otero-Muras I; Banga JR (2021) Automated Biocircuit Design with SYNBADm " Synthetic Gene Circuits" Springer ISBN:978-1-0716-1031-2
- TFM - Andrea Arribas Jimeno (26/09/2022) Aplicabilidad de la tecnología de imágenes hiperespectrales (HSI) como método no invasivo para la evaluación de la calidad del pescado UNIVERSIDAD DE SANTIAGO DE COMPOSTELA
- TFM - Artai Rodríguez Moimenta (19/07/2020) Desarrollo de un modelo de corte mecanístico que permita describir un proceso de fermentación mixta Universidad de Vigo (UVigo)
- TFG - Laura Honrubia Baamonde (11/07/2019) Optimization of Benzalkonium Chloride treatment in the disinfection of L. Monocytogenes in the Food Industry UNIVERSIDAD DE LLEIDA
- TFM - Pablo de la Torre Fernández (20/09/2018) Modelado del proceso de fermenatición vínica: co-cultivo de especies no convencionales Universidade da Coruña
- PhD - Alejandro López Núñez (18/07/2018) CONTRIBUTIONS TO MATHEMATICAL MODELLING AND NUMERICAL SIMULATION OF BIOFILMS UdC
- WASHTOP -
<p>Water Associated Safety Hazards in the Treatment of Produce</p>
Principal investigator:RodríguezGarcíaMíriamFunding body:European Food Safety Authority (EFSA)Funding for IIM-CSIC:80000€Go to project pageFromto
- Capabilities | Development of Artificial Intelligence applications for fisheries management
Development of Deep Learning algorithms that allow automating fisheries monitoring processes and reducing time and costs compared with processing by human observers. The applications developed range from innovative systems for real-time remote electronic monitoring, which identify and quantify total catches of fishing vessels (e.g., iObserver), to new image recognition techniques that allow individually identifying fish and estimating population parameters.
- Capabilities | Characterization of photosynthetic properties and by-products of phytoplankton
Characterization of the photosynthetic properties and by-products of different phytoplankton species under laboratory, industrial farming and natural conditions.
- Capabilities | Development of new food products from fisheries and aquaculture by-products
Development of processes for the transformation of discards and seafood by-products into new raw materials (fish mince, fish oil, etc.) with added value for the generation of innovative processed food products (hamburgers, nuggets, etc.), ensuring traceability, nutritional value and safety in new value chains.
- Capabilities | Development of bioprocesses (biorefineries) for the extraction of bioproducts and bioactive compounds from food industry by-products
Development of processes that allow extracting useful components of industrial interest from discards and food industry by-products and effluents. Biochemical characterization of useful components present in different kinds of fisheries products and by-products, such as skin collagen, visceral enzymes, chondroitin sulphate present in cartilage, chitin from crustacean shells and cuttlebone or protein hydrolysates obtained from muscle. Evaluation of potential applications of these compounds through the characterization of their biological activities (antioxidants, etc.) and functional properties for their use in different industries, such as biomedical, chemistry, cosmetic, food, etc.
- Capabilities | Development of intelligent and active food labels
Development of smart food labels based on models for oxidation, microbial growth, etc. that let consumers know when food is no longer fit to eat, helping to prevent food waste, and give information on freshness, package temperature, etc.
- Prototype | Morbidostat: Unraveling Antimicrobial Resistance
Morbidostat is a computer-controlled continuous culture device that automatically adjusts drug concentration to maintain constant growth inhibition in microbial cultures. As bacteria acquire mutations that give them resistance against drugs, they are able to tolerate higher drug concentrations and grow faster, thus removing selective pressure, the driving force of evolution. To compensate for this, morbidostat increases drug concentration sufficiently to keep bacteria at their original growth rate, therefore maintaining selective pressure over time. This system allows for data acquisition to model microbial evolution under antimicrobial stress, optimize biocide dosage strategies and develop highly antimicrobial-resistant strains used to test the performance of new biocides, among other applications.
- Software | saCeSS: a parallel global optimization library
The saCeSS library allows solving non-linear programming (NLP) and mixed-integer non-linear programming (MINLP) problems. It also offers efficient local solvers for nonlinear parameter estimation problems associated with complex models (e.g. those described by differential equations).
More information here.
- Software | SensSB: toolbox for the development and Sensitivity analysis of Systems Biology models
Authors: M. Rodríguez-Fernández and J. R. Banga
Description: SensSB is an easy-to-use Matlab®-based sensitivity analysis software toolbox. This tool integrates a variety of local and global sensitivity methods that can be applied to biological models described by ordinary differential equations (ODEs) or differential algebraic equations (DAEs). SensSB is also able to import models in the Systems Biology Mark-up Language (SBML) format.
Available here upon request.
- Software | SYNBADm: a toolbox for automatic optimal design in synthetic biology
SYNBADm is a Matlab-based toolbox for the automatic design of biological circuits with targeted functions from component libraries.
More information here.
- Software | GLOBALm: a clustering method for constrained global optimization problems in Matlab
Method described in Csendes, T., L. Pal, J.O.H. Sendin, J.R. Banga (2008) The GLOBAL Optimization Method Revisited. Optimization Letters, 2(4):445-454.
Software available upon request (email us if interested).
