Calle 48 y 116 piso 2 - CC 91
La Plata (1900), BA, Argentina
Tel: +54-221-425-9306
Email:martin.jamilis@ing.unlp.edu.ar
Formación Académica
- Ingeniero en Electrónica, Facultad de Ingeniería, UNLP
- Doctor en Ingeniería, Facultad de Ingeniería, UNLP
Posición actual
- Profesor Adjunto del Área Control Automático, Facultad de Ingeniería, UNLP
- Investigador asistente, CONICET, Argentina
Área de Investigación actual
Perfiles
2023
Castañeda, María Teresita; Nuñez, Sebastián; Jamilis, Martín; Battista, Hernán De
Computational assessment of lipid production in Rhodosporidium toruloides in two‐stage and one‐stage batch bioprocesses Artículo de revista
En: Biotech & Bioengineering, vol. 121, no 1, pp. 238–249, 2023, ISSN: 1097-0290.
@article{Castañeda2023,
title = {Computational assessment of lipid production in \textit{Rhodosporidium toruloides} in two‐stage and one‐stage batch bioprocesses},
author = {María Teresita Castañeda and Sebastián Nuñez and Martín Jamilis and Hernán De Battista},
doi = {10.1002/bit.28579},
issn = {1097-0290},
year = {2023},
date = {2023-10-31},
journal = {Biotech & Bioengineering},
volume = {121},
number = {1},
pages = {238--249},
publisher = {Wiley},
abstract = {<jats:title>Abstract</jats:title><jats:p>Oleaginous yeasts are promising platforms for microbial lipids production as a renewable and sustainable alternative to vegetable oils in biodiesel production. In this paper, a thorough in silico assessment of lipid production in batch cultivation by <jats:italic>Rhodosporidium toruloides</jats:italic> was developed. By means of dynamic flux balance analysis, the traditional two‐stage bioprocess (TSB) performed by the native strain was contrasted with one‐stage bioprocess (OSB) using four designed strains obtained by gene knockout strategies. Lipid titer, yield, content, and productivity were analyzed at different initial C/N ratios as relevant performance indicators used in bioprocesses. By weighting these indicators, a global lipid efficiency metric (GLEM) was defined to consider different scenarios. Under simulated conditions, designed strains for lipid overproduction in OSB outperformed the TSB in terms of lipid title (up to threefold), lipid yield (up to 2.4‐fold), lipid content (up to 2.8‐fold, with a maximum of 76%), and productivity (up to 1.3‐fold), depending on C/N ratios. Using these efficiency parameters and the proposed GLEM, the process of selecting the most suitable candidates for lipid production could be carried out before experimental assays. This methodology holds the potential to be extended to other oleaginous microorganisms and diverse strain design techniques.</jats:p>},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
<jats:title>Abstract</jats:title><jats:p>Oleaginous yeasts are promising platforms for microbial lipids production as a renewable and sustainable alternative to vegetable oils in biodiesel production. In this paper, a thorough in silico assessment of lipid production in batch cultivation by <jats:italic>Rhodosporidium toruloides</jats:italic> was developed. By means of dynamic flux balance analysis, the traditional two‐stage bioprocess (TSB) performed by the native strain was contrasted with one‐stage bioprocess (OSB) using four designed strains obtained by gene knockout strategies. Lipid titer, yield, content, and productivity were analyzed at different initial C/N ratios as relevant performance indicators used in bioprocesses. By weighting these indicators, a global lipid efficiency metric (GLEM) was defined to consider different scenarios. Under simulated conditions, designed strains for lipid overproduction in OSB outperformed the TSB in terms of lipid title (up to threefold), lipid yield (up to 2.4‐fold), lipid content (up to 2.8‐fold, with a maximum of 76%), and productivity (up to 1.3‐fold), depending on C/N ratios. Using these efficiency parameters and the proposed GLEM, the process of selecting the most suitable candidates for lipid production could be carried out before experimental assays. This methodology holds the potential to be extended to other oleaginous microorganisms and diverse strain design techniques.</jats:p>
2020
Jamilis, Martín; Garelli, Fabricio; Battista, Hernán De; Volcke, Eveline I. P.
Combination of cascade and feed-forward constrained control for stable partial nitritation with biomass retention Artículo de revista
En: Journal of Process Control, vol. 95, pp. 55-66, 2020, ISSN: 0959-1524.
@article{JAMILIS202055,
title = {Combination of cascade and feed-forward constrained control for stable partial nitritation with biomass retention},
author = {Martín Jamilis and Fabricio Garelli and Hernán De Battista and Eveline I. P. Volcke},
url = {https://www.sciencedirect.com/science/article/pii/S0959152420302870},
doi = {https://doi.org/10.1016/j.jprocont.2020.09.002},
issn = {0959-1524},
year = {2020},
date = {2020-01-01},
journal = {Journal of Process Control},
volume = {95},
pages = {55-66},
abstract = {Ammonium removal is a key step in wastewater treatment which can be accomplished biologically. An interesting process option for this purpose is coupling partial nitritation with the Anammox process. The goal of the partial nitritation process is to convert half of the ammonium in the influent stream into nitrite, so both can be later converted into dinitrogen gas by the Anammox reaction. To obtain a stable partial nitritation, ammonium oxidizing bacteria (AOB) have to prevail over nitrite oxidizing bacteria (NOB) so as to avoid further conversion of nitrite into nitrate. The dissolved oxygen concentration is a key variable for the functional group selection. In this study, a constrained combination of cascade and feedforward control is proposed for reactors with biomass retention, aimed at suppressing unwanted NOB while keeping a nitrite:ammonium ratio suitable for coupling with Anammox. The master controller, aimed to regulate this effluent ratio, generates the set-point for the dissolved oxygen concentration slave controller. In addition to the cascade controller feedback loop, a feed-forward controller calculates the optimal dissolved oxygen concentration based on the current influent stream flow rate and concentrations. The resulting dissolved oxygen concentration set-point is compared to constraints that guarantee the suppression of NOB and survival of AOB. The proposed control strategy is simple to apply in common wastewater treatment plants with biomass retention. A sensitivity analysis is performed to assess the effect of model parameters uncertainty on the controller constraints and to determine which parameters need to be identified with more precision to avoid instability or poor results. The performance and the effect of the uncertainty of the most sensitive parameters on the proposed control algorithm are assessed through simulation using realistic streams as inputs of the process.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ammonium removal is a key step in wastewater treatment which can be accomplished biologically. An interesting process option for this purpose is coupling partial nitritation with the Anammox process. The goal of the partial nitritation process is to convert half of the ammonium in the influent stream into nitrite, so both can be later converted into dinitrogen gas by the Anammox reaction. To obtain a stable partial nitritation, ammonium oxidizing bacteria (AOB) have to prevail over nitrite oxidizing bacteria (NOB) so as to avoid further conversion of nitrite into nitrate. The dissolved oxygen concentration is a key variable for the functional group selection. In this study, a constrained combination of cascade and feedforward control is proposed for reactors with biomass retention, aimed at suppressing unwanted NOB while keeping a nitrite:ammonium ratio suitable for coupling with Anammox. The master controller, aimed to regulate this effluent ratio, generates the set-point for the dissolved oxygen concentration slave controller. In addition to the cascade controller feedback loop, a feed-forward controller calculates the optimal dissolved oxygen concentration based on the current influent stream flow rate and concentrations. The resulting dissolved oxygen concentration set-point is compared to constraints that guarantee the suppression of NOB and survival of AOB. The proposed control strategy is simple to apply in common wastewater treatment plants with biomass retention. A sensitivity analysis is performed to assess the effect of model parameters uncertainty on the controller constraints and to determine which parameters need to be identified with more precision to avoid instability or poor results. The performance and the effect of the uncertainty of the most sensitive parameters on the proposed control algorithm are assessed through simulation using realistic streams as inputs of the process.
2019
Jamilis, Martín; Garelli, Fabricio; Battista, Hernán De; Volcke, Eveline I. P.
Stability and control of a partial nitritation reactor with biomass retention Artículo de revista
En: Chemical Engineering Research and Design, vol. 144, pp. 318-333, 2019, ISSN: 0263-8762.
@article{JAMILIS2019318,
title = {Stability and control of a partial nitritation reactor with biomass retention},
author = {Martín Jamilis and Fabricio Garelli and Hernán De Battista and Eveline I. P. Volcke},
url = {https://www.sciencedirect.com/science/article/pii/S0263876219300644},
doi = {https://doi.org/10.1016/j.cherd.2019.02.017},
issn = {0263-8762},
year = {2019},
date = {2019-01-01},
journal = {Chemical Engineering Research and Design},
volume = {144},
pages = {318-333},
abstract = {Partial nitritation–anammox process is an interesting process option for biological nitrogen removal from wastewater. Partial nitritation needs to provide about equimolar ammonium and nitrite concentrations as required for the Anammox conversion. This study analyzes the equilibrium points of a stand-alone partial nitritation process as part of a two-reactor partial nitritation-anammox configuration. Conditions for the feasibility and stability of the equilibrium points are obtained in the general case of a reactor with biomass retention and controlled oxygen concentration. This knowledge is subsequently applied to achieve the desired reactor behavior, namely suppressing nitrite oxidizing bacteria (NOB) and obtaining the desired effluent nitrite:ammonium ratio. The optimal oxygen concentration to achieve these two objectives is determined. Moreover, a control algorithm is proposed to drive the process to the desired operating point. Its steady state behavior is assessed for changing influent ammonium concentrations and biomass retention times. The dynamic performance of the controller is tested through simulation as well, prioritizing NOB suppression in case the two objectives are not compatible.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Partial nitritation–anammox process is an interesting process option for biological nitrogen removal from wastewater. Partial nitritation needs to provide about equimolar ammonium and nitrite concentrations as required for the Anammox conversion. This study analyzes the equilibrium points of a stand-alone partial nitritation process as part of a two-reactor partial nitritation-anammox configuration. Conditions for the feasibility and stability of the equilibrium points are obtained in the general case of a reactor with biomass retention and controlled oxygen concentration. This knowledge is subsequently applied to achieve the desired reactor behavior, namely suppressing nitrite oxidizing bacteria (NOB) and obtaining the desired effluent nitrite:ammonium ratio. The optimal oxygen concentration to achieve these two objectives is determined. Moreover, a control algorithm is proposed to drive the process to the desired operating point. Its steady state behavior is assessed for changing influent ammonium concentrations and biomass retention times. The dynamic performance of the controller is tested through simulation as well, prioritizing NOB suppression in case the two objectives are not compatible.
2018
Jamilis, Martín; Garelli, Fabricio; Battista, Hernán De
Growth rate maximization in fed-batch processes using high order sliding controllers and observers based on cell density measurement Artículo de revista
En: Journal of Process Control, vol. 68, pp. 23–33, 2018, ISSN: 0959-1524.
@article{Jamilis2018,
title = {Growth rate maximization in fed-batch processes using high order sliding controllers and observers based on cell density measurement},
author = {Martín Jamilis and Fabricio Garelli and Hernán De Battista},
doi = {10.1016/j.jprocont.2018.04.003},
issn = {0959-1524},
year = {2018},
date = {2018-06-01},
journal = {Journal of Process Control},
volume = {68},
pages = {23--33},
publisher = {Elsevier BV},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2015
Jamilis, Martín; Garelli, Fabricio; Mozumder, Md Salatul Islam; Castañeda, Teresita; Battista, Hernán De
Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processes Artículo de revista
En: Bioprocess Biosyst Eng, vol. 38, no 10, pp. 1903–1914, 2015, ISSN: 1615-7605.
@article{Jamilis2015,
title = {Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processes},
author = {Martín Jamilis and Fabricio Garelli and Md Salatul Islam Mozumder and Teresita Castañeda and Hernán De Battista},
doi = {10.1007/s00449-015-1430-7},
issn = {1615-7605},
year = {2015},
date = {2015-06-01},
journal = {Bioprocess Biosyst Eng},
volume = {38},
number = {10},
pages = {1903--1914},
publisher = {Springer Science and Business Media LLC},
keywords = {},
pubstate = {published},
tppubtype = {article}
}