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Anticipated cell lines selection in bioprocess scale-up through machine learning on metabolomics dynamics

IFAC-PapersOnLine 2021年第3期54卷 85-90页

作者： Gianmarco Barberi Antonio Benedetti Paloma Diaz-Fernandez Gary Finka Fabrizio Bezzo Massimiliano Barolo Pierantonio Facco CAPE-Lab - Computer Aided Process Engineering Laboratory Padova 35138 Italy Biopharm Process Research GlaxoSmithKline R&D Stevenage UK Process Engineering & Analytics GlaxoSmithKline R&D Stevenage UK

The development of biopharmaceutical therapeutics, such as monoclonal antibodies, requires the testing of several cell lines at different development scales and the selection of the high performing cell lines which allow meeting the desired quality attributes of the product. In this context, data analytics, which is extremely useful for a better process understanding and a faster scale-up, can be used to understand the relation between biological information, such as cell metabolism, and process productivity. This study shows that monoclonal antibodies end-point titer can be estimated in the early stages of the industrial product development for cell line selection using information on cell metabolism dynamics. This allows the anticipated identification of the high-performing cell lines, and a better understanding of the relationships between the time evolution of both the metabolic information and the product titer.

关键词： biopharmaceutical development scale-up monoclonal antibodies data analytics multivariate statistics metabolomics

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Optimising Carbon Capture and Storage Supply Chains for the European Industry ⁎

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IFAC-PapersOnLine 2021年第3期54卷 609-614页

作者： Federico d’Amore Matteo C. Romano Fabrizio Bezzo CAPE-Lab - Computer-Aided Process Engineering Laboratory Department of Industrial Engineering University of Padova via Marzolo 9 IT-35131 Padova (Italy) Politecnico di Milano Department of Energy via Lambruschini 4 IT-20156 Milano (Italy)

Carbon capture and storage is considered of fundamental importance to achieve a remarkable decarbonisation of steel, cement and refining sectors. To operate carbon capture and storage at scale and address its inherent complexity, mathematical programming techniques can be exploited to optimise such systems. This contribution proposes a Europe-wide, spatially-explicit, time-dependent, carbon capture and storage chains optimisation, based on mixed integer linear programming architecture. Capture plants can be installed in all significant industrial CO 2 emitters, which comprise 25 steel mills, 111 cement plants and 59 refineries. A techno-economic description of capture plants is provided, based on scale effects and different options. Transport can be operated through pipelines and offshore storage is taken into account in the North Sea and Adriatic area. The analysis allows identifying the most promising sectors and optimal specific plants where capture should be operated, and the evolution of the system throughout the time horizon. Considering a time-varying carbon reduction target, the avoidance cost is 75.6 €/t of CO 2 for a North Sea targeted network, and decreases by 1.9% when sequestration in the Adriatic Sea is also taken into account.

关键词： Carbon capture storage Mixed integer linear programming European supply chain optimisation Steel cement refinery sectors

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Optimal European cooperative supply chains for carbon capture, transport, and sequestration with costs share policies

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AIChE Journal 2019年

作者： d'Amore, Federico Bezzo, Fabrizio CAPE-Lab – Computer-Aided Process Engineering Laboratory Department of Industrial Engineering University of Padova Padova Italy

In the past decades, CO2 constituted nearly the 80% of anthropogenic greenhouse gases emissions therefore, global actions are needed to tackle the increase of carbon concentration in the atmosphere. CO2 (carbon) capture and storage has been highlighted among the most promising options to decarbonize the energy and industry sectors. Considering a large-scale infrastructure at European level, economic cooperation has been highlighted as a key requirement to relieve single countries from too high risk and commitment. This article proposes an economic optimization for cooperative supply chains for CO2 capture and storage, by adopting policies that balance the spread of costs among countries, according to local characteristics in terms of population, CO2 emissions, and macroeconomic outcome. Results show that the additional European investment for cooperation (max. +2.6% with respect to a noncooperative network) should not constitute a barrier toward the installation and operation of such more effective network designs. © 2019 American Institute of Chemical Engineers

关键词： Costs

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Optimal operation of algal ponds accounting for future meteorology

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IFAC-PapersOnLine 2016年第7期49卷 1062-1067页

作者： De-Luca, Riccardo Béchet, Quentin Bezzo, Fabrizio Bernard, Olivier CAPE-Lab Computer-Aided Process Engineering Laboratory Department of Industrial Engineering Università di Padova via Marzolo 9 Padova1-35131 Italy BIOCORE-INRIA BP93 Sophia-Antipolis Cedex06902 France

Biofuel production from microalgae requires optimizing the operation of cultivation systems (i.e. outdoor ponds) for this process to be economically sustainable. Controlling algal ponds is complex as the cultivation system is exposed to fluctuating conditions. The strategy investigated in this study uses weather forecast coupled to a predictive model of algal productivity to optimize pond operation. The selected controlled variables were the rates of fresh medium injection and culture removal into and from the pond. This optimization strategy was applied at two locations in France and was shown to increase the productivity by a factor 1.7-2.4 compared to where the pond depth and dilution rate were kept constant over time. A thorough analysis of the optimizer behavior showed that this increase of productivity was achieved by ‘flushing’ the pond and controlling the pond depth. These mechanisms allowed maintaining the biomass concentration and the pond temperature near their optimal values. The complex behavior of the optimizer was reduced to six simple rules that could be used as guidelines for practical operation. © 2016

关键词： Lakes

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Phase identification for product quality prediction in batch processes: application to industrial resin production

Phase identification for product quality prediction in batch...

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European Control Conference

作者： Andrea Depalo Massimiliano Barolo Fabrizio Bezzo Riccardo Muradore Altair Lab Department of Computer Science University of Verona CAPE-Lab Computer-Aided Process Engineering Laboratory Department of Industrial Engineering University of Padova

ISBN: (纸本)9781467371605

This paper addresses the phase identification problem in the development of a soft-sensor for quality variables prediction in batch processes. Batch processes are characterized by time-varying dynamic behavior. This means that input-output variable correlation is not constant during the whole process and so using a single statistical/deterministic model is not usually accurate enough to describe the plant behavior. The multi-phase approach overcomes this problem by grouping process data in different clusters according to their statistical structures. Each phase is then modeled independently using, e.g., the Partial Least Square (PLS) method. In this paper we propose a method to identify process phases based on the k-means clustering algorithm. The main advantages are that this method is generic, automatic and requires no a-priori knowledge of the process. The proposed methodology has been validated on data coming from an industrial plant for production of a resin.

关键词： Batch production systems Yttrium Correlation Quality assessment Product design Resins Temperature measurement

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Using fluorescence measurements to model key phenomena in microalgae photosynthetic mechanisms

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Chemical engineering Transactions 2015年 43卷 217-222页

作者： Bernardi, Andrea Nikolaou, Andreas Meneghesso, Andrea Morosinottoc, Tomas Chachuat, Benoit Bezzo, Fabrizio CAPE-Lab: Computer-Aided Process Engineering Laboratory PAR-Lab: Padova Algae Research Laboratory Department of Industrial Engineering University of Padova Italy Centre for Process Systems Engineering Department of Chemical Engineering Imperial College London United Kingdom PAR-Lab: Padova Algae Research Laboratory Department of Biology University of Padova Italy

ISBN: (纸本)9788895608341

Fluorescence is a powerful tool in characterizing the photosynthetic properties of microalgae. In this work we discuss a dynamic model able to accurately represent Pulse Amplitude Method (PAM) fluorescence data. The model includes photoproduction, photoinhibition and photoregulation and has been calibrated using data from a culture of Nannochloropsis Gaditana. The main objective of the work is to propose an experiment design approach to determine information rich PAM experiments and identify the model. Moreover, we will show how the model can be used to predict the photosynthesis rate under dynamic light conditions. Finally, the work shows that different PI curve characteristics arise as a result of different experimental protocols and highlights the importance of the accurate description of the protocols used to derive the experimental data. Copyright © 2015, AIDIC Servizi S.r.l.

关键词： Fluorescence

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A dynamic model of photoproduction, photoregulation and photoinhibition in microalgae using chlorophyll fluorescence 19

A dynamic model of photoproduction, photoregulation and phot...

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19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

作者： Nikolaou, Andreas Bernardi, Andrea Bezzo, Fabrizio Morosinotto, Tomas Chachuat, Benoît Centre for Process Systems Engineering Department of Chemical Engineering Imperial College London LondonSW7 2AZ United Kingdom CAPE-Lab. - Computer-Aided Process Engineering Laboratory Department of Industrial Engineering University of Padova Via Marzolo 9 Padova35131 Italy Department of Biology University of Padova Padova35131 Italy

ISBN: (纸本)9783902823625

Fluorescence is a powerful tool for observing and understanding photosynthetic processes in microalgae. This paper presents a dynamic model describing key photosynthetic processes, whose predictions can be related to the characteristic fluorescence fluxes arising from Pulsed Amplitude Modulation (PAM) protocols. The mechanistic model by Han is used as a building block for predicting photoproduction and photoinhibition, and an extension is proposed in order to encompass a particular type of photoregulation, namely qE quenching. Moreover, the lake model - a specific type of Photosystem II arrangement - is considered in formulating the quantum yield of fluorescence, which leads to simple expressions of the characteristic fluorescence fluxes in terms of the model variables. A first calibration and validation of the model is performed against experimental data, showing excellent agreement. © IFAC.

关键词： Photosynthesis

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A Dynamic Model of Photoproduction, Photoregulation and Photoinhibition in Microalgae using Chlorophyll Fluorescence

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IFAC Proceedings Volumes 2014年第3期47卷 4370-4375页

作者： Andreas Nikolaou Andrea Bernardi Fabrizio Bezzo Tomas Morosinotto Benoît Chachuat Centre for Process Systems Engineering Department of Chemical Engineering Imperial College London South Kensington Campus London SW7 2AZ UK CAPE-Lab - Computer-Aided Process Engineering Laboratory Department of Industrial Engineering University of Padova via Marzolo 9 35131 Padova Italy Department of Biology University of Padova 35131 Padova Italy

Fluorescence is a powerful tool for observing and understanding photosynthetic processes in microalgae. This paper presents a dynamic model describing key photosynthetic processes, whose predictions can be related to the characteristic fluorescence fluxes arising from Pulsed Amplitude Modulation (PAM) protocols. The mechanistic model by Han is used as a building block for predicting photoproduction and photoinhibition, and an extension is proposed in order to encompass a particular type of photoregulation, namely qE quenching. Moreover, the lake model—a specific type of Photosystem II arrangement—is considered in formulating the quantum yield of fluorescence, which leads to simple expressions of the characteristic fluorescence fluxes in terms of the model variables. A first calibration and validation of the model is performed against experimental data, showing excellent agreement.

关键词： modeling fluorescence microalgae non-photochemical quenching photoinhibition

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Multivariate image and texture analysis for film-coated tablets elegance assessment

Multivariate image and texture analysis for film-coated tabl...

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10th IFAC Symposium on Dynamics and Control of process Systems, DYCOPS 2013

作者： Ottavian, Matteo Barolo, Massimiliano García-Muñoz, Salvador CAPE-Lab. - Computer-Aided Process Engineering Laboratory Department of Industrial Engineering University of Padova via Marzolo 9 35131 Padova Italy United States

ISBN: (纸本)9783902823595

The use of multivariate image and texture analysis is proposed in this study to quantitatively characterize the elegance of film-coated tablets. Four unsupervised metrics are developed to quantify both the color uniformity of tablet faces/bands and the erosion level inside and outside the tablet logo. Latent variable modeling is used to regress the measured elegance against coating operating conditions in order to investigate the driving forces acting on the system, consistently with the quality-by-design framework promoted by the Food and Drug Administration. © IFAC.

关键词： Image analysis

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Multivariate Image and Texture Analysis for Film-Coated Tablets Elegance Assessment

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IFAC Proceedings Volumes 2013年第32期46卷 331-336页

作者： Matteo Ottavian Massimiliano Barolo Salvador García-Muñoz CAPE-Lab – Computer-Aided Process Engineering Laboratory Department of Industrial Engineering University of Padova via Marzolo 9 – 35131 Padova Italy Pfizer Worldwide Research & Development 445 Eastern Point Road Groton (CT) USA

关键词： image analysis tablet coating tablet elegance multivariate data analysis quality by design

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