Publications

Year 2024

• Beccaro, L., P. Facco, R.M. Dhenge, M.J. Khala, F. Cenci, F. Bezzo, M. Barolo (2024). Accelerating pharmaceutical tablet development by transfer of powder compaction equipment across types and scales. Int. J. Pharm., 667, 124904.
• Barberi, G., C. Giacopuzzi, P. Facco (2024). Bioprocess feeding optimization through in silico dynamic experiments and hybrid digital models – a proof of concept. Front. Chem. Eng., 6, 1456402.
• Zaryab, S.A, F. d’Amore, P. Colbertaldo, M.C. Romano (2024). Utilization or sequestration for captured CO2 from industrial plants? Ind. Eng. Chem. Res., 63, 20287-20303.
• Varnier, L., K. Clausen, F. d’Amore, F. Bezzo (2024).  Optimal integration of carbon capture and electrification for cement plants decarbonization. Presented at: GHGT-17 – 17th Greenhouse Gas Control Technology Conference, 20-24 October 2024, Calgary (Canada).
• Torrisi, A., E. Sforza, N. Trivellin, F. Bezzo (2024). Combined effect of light and temperature in high frequency pulsed light regimes on Acutodesmus obliquus. Presented at: AISAM 2024 – 4th Congresso nazionale AISAM, 16-18 October 2024, Florence (Italy).
• Zhu, Q., P. Facco, Z. Zhao, M. Barolo (2024). Capturing connectivity information from process flow diagrams by sequential-orthogonalized PLS to improve soft-sensor performance. Chemom. Intell. Lab. Sys., 252, 105192.
• Palací-López, D., J. Borràs-Ferrís, P. Facco, M. Barolo, A. Ferrer (2024). Inverse design via PLS model inversion. In: The Digital Transformation of Product Formulation ‒ Concepts, Challenges, and Appplications for Accelerated Innovation (A. Schmidt and K. Wallace, Eds), CRC Press, Boca Raton (FL, U.S.A.), 266-286.
• Saccardo, A., A. Porcelli, L. Borella, E. Sforza, F. Bezzo (2024). Model-based optimisation of microalgae growth under high-intensity and high-frequency pulsed light conditions. J. Clean. Prod., 469, 143238.
• Arnese-Feffin, E., P. Facco, F. Bezzo, M. Barolo (2024). Systematizing product design by latent-variable modeling ‒ A unifying framework for the formulation of PLS model-inversion problems. Chem. Eng. Sci., 299, 120505.
• Cenci, F., S. Diab, P. Ferrini, C. Harabajiu, M. Barolo, F. Bezzo, P. Facco (2024). Predicting drug solubility in organic solvents mixtures: A machine-learning approach supported by high-throughput experimentation. Int. J. Pharm., 660, 124233.
• Felices-Rando, B., F. Bezzo, E. Sforza (2024). Combined effect of light and temperature on microalgal biomass cultivation: comparison of empirical and mechanistic models. Presented at: AlgalBBB 2024 – International Conference on Algal Biomass, Biofuels and Bioproducts, 10-12 June 2024, Clearwater, FL (U.S.A.).
• Tizzani, R., G. Barberi, P. Grendene, F. Bezzo, P. Facco, E. Sforza (2024). Dynamic design of experiments for high-value compound production from acidophilic Coccomyxa onubensis in a high cell density cultivation system. Presented at: AlgalBBB 2024 – International Conference on Algal Biomass, Biofuels and Bioproducts, 10-12 June 2024, Clearwater, FL (U.S.A.).
• Sangoi, E., M. Quaglio, F. Bezzo, F. Galvanin (2024). An optimal experimental design framework for fast kinetic model identification based on artificial neural networks. Comp. Chem. Eng., 187, 108752.
• Beccaro, L., P. Facco, R.M. Dhenge, M.J. Khala, F. Bezzo, M. Barolo (2024). Transfer learning across equipment scales can accelerate pharmaceutical tablet development. Presented at: Escape34-PSE2024, 34th European Symposium on Computer Aided Process Engineering and 15th International Symposium on Process Systems Engineering. Florence (Italy), 2-6 June 2024. Book of Abstract, 235-236.
• Carnio, G., A. Di Pretoro, F. Bezzo, L. Montastruc (2024). Surrogate modeling application for process system emissions assessment: improving computational performances for plantwide estimations. In: Computer-Aided Chemical Engineering 53, Proc. of the 34th European Symposium on Computer Aided Process Engineering and 15th International Symposium on Process Systems Engineering (F. Manenti, G.V. Reklaitis, Eds.), Elsevier, Amsterdam (The Netherlands), 7-12.
• Geremia, M., F. Bezzo, M.G. Ierapetritou (2024). Analyzing the effects of control strategies for determining process feasible space. In: Computer-Aided Chemical Engineering 53, Proc. of the 34th European Symposium on Computer Aided Process Engineering and 15th International Symposium on Process Systems Engineering (F. Manenti, G.V. Reklaitis, Eds.), Elsevier, Amsterdam (The Netherlands), 1573-1578.
• E. Tamiazzo, G. Barberi, P. Diaz-Fernandez, G. Finka, P. Facco (2024). Enhancing cell culture understanding in the development of biopharmaceuticals by integrated first-principle modelling and machine-learning. In: Computer-Aided Chemical Engineering 53, Proc. of the 34th European Symposium on Computer Aided Process Engineering and 15th International Symposium on Process Systems Engineering (F. Manenti, G.V. Reklaitis, Eds.), Elsevier, Amsterdam (The Netherlands), 3091-3096.
• Arnese-Feffin, E., P. Facco, D. Turati, F. Bezzo, M. Barolo (2024). Understanding fouling in an industrial biorefinery membrane separation process by feature-oriented data-driven modeling. Ind. Eng. Chem. Res., 63, 9136−9150.
• Saccardo, A., J. Wolf, F. Bezzo, B. Hankamer (2024). Modelling microalgae growth based on dynamic high throughput pulsed light screens. Chem. Eng. J., 490, 151684.
• Bolourchian-Tabrizi, S.Z., W.R. Leal da Silva, E. Barbera, F. Bezzo (2024). Kinetic study on fly ash mineral carbonation. Presented at: 1st RILEM International Conference on Mineral Carbonation for Cement and Concrete, 16-17 April 2024, Aachen (Germany).
• Scomazzon, M., E. Barbera, F. Bezzo (2024). Alternative sustainable routes to methanol production: Techno-economic and environmental assessment. J. Env. Chem. Eng., 12, 112674.
• Jul-Jørgensen, I., P. Facco, K.V. Gernaey, M. Barolo, C.A. Hundahl (2024). Data fusion of Raman spectra in MSPC for fault detection and diagnosis in pharmaceutical manufacturing. Comp. Chem. Eng., 184, 108647.
• Visonà, M., F. Bezzo, F. d’Amore (2024). Techno-economic analysis of onboard CO2 capture for ultra-large container ships. Chem. Eng. J., 485, 149982.
• d’Amore, F., L. Natalucci, M.C. Romano (2024). Optimisation of ship-based CO2 transport chains from Southern Europe to the North Sea. Carbon Capture Sci. Technol., 10, 100172.
• Geremia, M., F. Bezzo, M. Ierapetritou (2024). Design space determination of pharmaceutical processes: effects of control strategies and uncertainty. Eur. J. Pharm. Biopharm., 194, 159–169.
• Geremia, M., G. Cisco, S. Diab, G. Bano, F. Bezzo (2024). Targeting fidelity of pharmaceutical systems models by optimization of precision on parameter estimates. Comp. Chem. Eng., 181, 108542.
• Crîstiu, D., F. d’Amore, F. Bezzo (2024). Economic and environmental optimisation of mixed plastic waste supply chains in Northern Italy comparing incineration and pyrolysis technologies. Comp. Chem. Eng., 180, 108503.
• Gasparini, L., A. Benedetti, G. Marchese, C. Gallagher, P. Facco, M. Barolo (2024). On the use of machine learning to generate in-silico data for batch process monitoring under small-data scenarios. Comp. Chem. Eng., 180, 108469.
• Arnese-Feffin, E., P. Facco, D. Turati, F. Bezzo, M. Barolo (2024). Hybrid modeling of a biorefinery separation process to monitor short-term and long-term membrane fouling. Chem. Eng. Sci., 283, 119413.

Year 2023

• Felices-Rando, B., A. Fanesi, T. Martin, E. Sforza, F. Bezzo, F. Lopes (2023). Photosynthetic biofilms: Structure and activity in-situ monitoring. In: Book of abstracts – AlgaEurope 2023, 12-15 December 2023, Prague, Czech Republic.
• Geremia, M., F. Bezzo, M.G. Ierapetritou (2023). A novel methodology for the identification of complex process feasibility regions. Presented at: AIChE 2023 Annual Meeting, 5 November-10 November 2023, Orlando, USA.
• Crîstiu, D., F. d’Amore, F. Bezzo (2023). Waste-to-energy and chemical recycling of mixed plastic waste. Economic and environmental optimization of the Northern Italian supply chain. Presented at: AIChE 2023 Annual Meeting, 5 November-10 November 2023, Orlando, USA.
• Sartori, F., P. Facco, F. Zuecco, F. Bezzo, M. Barolo (2023). Optimal indicator-variable approach for trajectory synchronization in uneven-length multiphase batch processes. Ind. Eng. Chem. Res., 62, 18511-18525.
• Crîstiu, D., F. d’Amore, P. Mocellin, F. Bezzo (2023). Multi-Objective optimisation of a Carbon Capture and Sequestration supply chain under seismic risk constraints. A case study considering industrial emissions in Italy. Int. J. Greenh. Gas Con., 129, 103993.
• Felices-Rando, B., F. Bezzo, E. Sforza (2023). Combined effect of temperature and light intensity on microalgae growth in small scale photobioreactors. Presented at: ECCE14 – The 14th European Congress of Chemical Engineering. ECAB7 – The 7th European Congress of Applied Biotechnology, 17-21 September 2023, Berlin, Germany.
• Geremia, M., S. Diab, G. Bano, M. Barolo, F. Bezzo (2023). Targeting model complexity as a trade-off between calibration effort and prediction quality. Presented at: ECCE14 – The 14th European Congress of Chemical Engineering. ECAB7 – The 7th European Congress of Applied Biotechnology, 17-21 September 2023, Berlin, Germany.
• Tizzani, R., E. Sforza, F. Bezzo (2023). Effect of Residence Time and Light Quality on the Integrated Production of Phycoerythrin and Exopolysaccharide from Porphyridium marinum. Presented at: ECCE14 – The 14th European Congress of Chemical Engineering. ECAB7 – The 7th European Congress of Applied Biotechnology, 17-21 September 2023, Berlin, Germany.
• Geremia, M., F. Bezzo, M. Ierapetritou (2023). A novel framework for the identification of complex feasible space. Comp. Chem. Eng., 179, 10842.
• Cenci, F., A. Pankajakshan, P. Facco, F. Galvanin (2023). An exploratory model-based design of experiments approach to aid parameters identification and reduce model prediction uncertainty. Comp. Chem. Eng., 177, 108353.
• Geremia, M., F. Bezzo, M.G. Ierapetritou (2023). A novel framework to determine complex process feasibility. Presented at: FOPAM 2023, Foundations of Process/Product Analytics and Machine learning, 30 July -3 Aug 2023, Davis CA, USA.
• Zhu, Q., P. Facco, Z. Zhao, M. Barolo (2023). Quality prediction with sequential-orthogonalized PLS: an explorative method to capture process topology. Presented at: 11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts, 282.
• Gonzato, E., S. Currò, P. Facco, E. Novelli, S. Balzan, L. Fasolato (2023). Feasibility of a near-infrared spectroscopy system to estimate the microbial load of seafood products. Presented at: 11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts, 213.
• Barberi, G., A. Benedetti, P. Diaz-Fernandez, D.C. Sévin, J. Vappiani, G. Finka, F. Bezzo, P. Facco (2023). Accelerating cell lines selection in biopharmaceutical process development through data-driven modeling on metabolomic dynamic information. Presented at: 11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts, 159.
• Arnese-Feffin, E., P. Facco, F. Bezzo, M. Barolo (2023). Estimation of null-space uncertainty in latent-variable model inversion: the case of correlated quality attributes. Presented at: 11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts, 144.
• Botton, A., P. Facco, A. Ferrando, F. Bonacini, E. Mantovani, G. Marchetti (2023). Virtual Sensor to Forecast the Mooney Viscosity in an Industrial Rubber Production Process. Presented at: 11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts, 128.
• Cenci, F., A. Pankajakshan, F. Galvanin, P. Facco (2023). Trade off between space exploration and information maximization in experimental design. Presented at: 11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts, 34.
• Sartori, F., F. Zuecco, P. Facco, F. Bezzo, M. Barolo (2023). An automated pre-processing framework for uneven-length multiphase batch processes. Presented at: 11th Colloquium Chemiometricum Mediterraneum, 27-30 June 2023, Padova, Italy. Book of abstracts, 24.
• Geremia, M., S. Diab, C. Christodoulou, G. Bano, M. Barolo, F. Bezzo (2023). A general procedure for the evaluation of the prediction fidelity of pharmaceutical systems models. Chem. Eng. Sci., 280, 118972.
• Saccardo, A., B. Felices-Rando, E. Sforza, F. Bezzo (2023). Model-Based Design of Experiments for the identification of microalgae growth models with limiting nutrients. In: Computer-Aided Chemical Engineering 52, Proc. of the 33th European Symposium on Computer Aided Process Engineering (A.C. Kokossis, M.C. Georgiadis, E. Pistikopoulos, Eds.), Elsevier, Amsterdam (The Netherlands), 2137-2142.
• Cieno, F., D. Crîstiu, F. d’Amore, F. Bezzo (2023). Economic optimization of the Northern Italian supply chain for residual plastic packaging waste treatment. In: Computer-Aided Chemical Engineering 52, Proc. of the 33th European Symposium on Computer Aided Process Engineering (A.C. Kokossis, M.C. Georgiadis, E. Pistikopoulos, Eds.), Elsevier, Amsterdam (The Netherlands), 2125-2130.
• Arnese-Feffin, E., P. Facco, D. Turati, F. Bezzo, M. Barolo (2023). Troubleshooting high-pressure issues in an industrial biorefinery process by feature-oriented modeling. In: Computer-Aided Chemical Engineering 52, Proc. of the 33th European Symposium on Computer Aided Process Engineering (A. Kokossis, M.C. Georgiadis, E. Pistikopoulos, Eds.), Elsevier, Amsterdam (The Netherlands), 163-168.
• Geremia, M., S. Diab, C. Christodoulou, G. Bano, M. Barolo, F. Bezzo (2023). Assessing process systems models for pharmaceutical development. In: Computer-Aided Chemical Engineering 52, Proc. of the 33th European Symposium on Computer Aided Process Engineering (A.C. Kokossis, M.C. Georgiadis, E. Pistikopoulos, Eds.), Elsevier, Amsterdam (The Netherlands), 39-44.
• Cenci, F., A. Pankajakshan, S. Gajere Bawa, A. Gavriilidis, P. Facco, F. Galvanin (2023). An exploratory model-based design of experiments technique to aid parameters identification and reduce prediction uncertainty. In: Computer-Aided Chemical Engineering 52, Proc. of the 33th European Symposium on Computer Aided Process Engineering (A.C. Kokossis, M.C. Georgiadis, E. Pistikopoulos, Eds.), Elsevier, Amsterdam (The Netherlands), 1-6.
• Jul-Jørgensen, I., C. Hundahl, K. V. Gernaey, P. Facco, M. Barolo (2023). Variable selection of spectroscopy data in multivariate statistical process monitoring for fault detection and diagnosis. Presented at: EuroPACT 2023 ‒ 6th European Conference on Process Analytics and Control Technology, Copenhagen (Denmark), 7-10 May.
• Saccardo, A., B. Felices-Rando, E. Sforza, F. Bezzo (2023). Droop model identification via Model-Based Design of Experiments to describe microalgae nitrogen uptake in continuous photobioreactors. Chem. Eng. J., 468, 143577.
• Castaldello, C., P. Facco, F. Bezzo, C. Georgakis, M. Barolo (2023). Data-driven tools for the optimization of a pharmaceutical process through its knowledge-driven model. AIChE J., 69, e17925.
• Destro, F., M. Barolo, Z.K. Nagy (2023). Quality-by-control of intensified continuous filtration-drying of active pharmaceutical ingredients. AIChE J., 69, e17926.

Year 2022

• F. Bezzo (2022). Digitalgaesation: A knowledge-based training network for digitalisation of photosynthetic bioprocesses. Presented at: AlgaEurope 2022, 13-15 December 2022, Rome (Italy).
• Crîstiu, D., F. d’Amore, P. Mocellin, F. Bezzo (2022). Optimizing carbon capture and sequestration chains from industrial sources under seismic risk constraints. Chem. Eng. Trans., 96, 85-90.
• Sartori, F., F. Zuecco, P. Facco, F. Bezzo, M. Barolo (2022). Data analytics can help reduce energy consumption in the industrial manufacturing of specialty chemicals. Chem. Eng. Trans., 96, 229-234.
• Destro, F., M. Barolo, Z. K. Nagy (2022). Introducing ContCarSim, a benchmark simulator for design and control of continuous integrated filtration-drying of crystallization slurries. Presented at: the AIChE Annual Meeting, Phoenix, AZ (U.S.A.), November 13-18, 2022.
• Botton, A., G. Barberi, P. Facco (2022). Data augmentation to support biopharmaceutical process development through digital models—A proof of concept. Processes, 10, 1796.
• Saccardo, A., B. Felices-Rando, F. Bezzo, E. Sforza (2022). Modelling the dynamics of microalgae growth in continuous photobioreactors under different nitrogen concentration. Presented at: Convegno AISAM 2022, 16-18 October 2022, Naples (Italy).
• Zanella, L., P. Facco, F. Bezzo, E. Cimetta (2022). Feature selection and molecular classification of cancer phenotypes: A comparative study. Int. J. Mol. Sci., 23, 9087.
• Saccardo, A., F. Bezzo, E. Sforza (2022). Microalgae growth in ultrathin steady-state continuous photobioreactors: Assessing self-shading effects. Front. Bioeng. Biotechnol., 10, 977429.
• Arnese-Feffin, E., P. Facco, F. Bezzo, M. Barolo (2022). Digital design of new products: accounting for output correlation via a novel algebraic formulation of the latent-variable model inversion problem. Chemom. Intell. Lab. Sys., 227, 104610.
• d’Amore, F., G. Marcato, P. Mocellin, F. Bezzo (2022). A framework for economic optimization of carbon capture and sequestration from Italian industrial sources under seismic risk constraints. In: Computer-Aided Chemical Engineering 51, Proc. of the 32th European Symposium on Computer Aided Process Engineering (L. Montastruc, S. Negny, Eds.), Elsevier, Amsterdam (The Netherlands), 1567-1572.
• Cenci, F., G. Bano, C. Christodoulou, Y. Vueva, S. Zomer, M. Barolo, F. Bezzo, P. Facco (2022). Reducing the experimental effort to design pharmaceutical tablet lubrication by model-based design of experiments. In: Computer-Aided Chemical Engineering 51, Proc. of the 32th European Symposium on Computer Aided Process Engineering (L. Montastruc, S. Negny, Eds.), Elsevier, Amsterdam (The Netherlands), 25-30.
• Destro, F., M. Barolo, Z.K. Nagy (2022). Model-based monitoring of an intensified unit for continuous pharmaceutical filtration-drying. In: Computer-Aided Chemical Engineering 49, Proc. of the 14th International Symposium on Process Systems Engineering – PSE 2021+, June 19-23 2022 (Y. Yamashita, M. Kano, Eds.), Elsevier, Amsterdam (The Netherlands), 1405-1410.
• Sangoi, E., M. Quaglio, F. Bezzo, F. Galvanin (2022). Optimal design of experiments based on artificial neural network classifiers for fast kinetic model recognition. In: Computer-Aided Chemical Engineering 49, Proc. of the 14th International Symposium on Process Systems Engineering – PSE 2021+, June 19-23 2022 (Y. Yamashita, M. Kano, Eds.), Elsevier, Amsterdam (The Netherlands), 817-822.
• Destro, F., Z. K. Nagy, M. Barolo (2022). A benchmark simulator for quality-by-design and quality-by-control studies in continuous pharmaceutical manufacturing ‒ Intensified filtration-drying of crystallization slurries. Comp. Chem. Eng., 163, 10780.
• Barberi, G., A. Benedetti, P. Diaz-Fernandez, D.C. Sévin, J. Vappiani, G. Finka, F. Bezzo, M. Barolo, P. Facco (2022). Integrating metabolome dynamics and process data to guide cell line selection in biopharmaceutical process development. Metab. Eng., 72, 353–364.
• Destro, F., M. Barolo (2022). A review on the modernization of pharmaceutical development and manufacturing ‒ Trends, perspectives, and the role of mathematical modeling. Int. J. Pharm., 620, 121715.
• Laky, D.J., D. Casas-Orozco, F. Destro, M. Barolo, G.V. Reklaitis, Z.K. Nagy (2022). Integrated synthesis, crystallization, filtration, and drying of active pharmaceutical ingredients: a model-based digital design framework for process optimization and control.In: Optimization of Pharmaceutical Processes (A. Fytopoulos, R. Ramachandran, P.M. Pardalos, Eds). Springer Optimization and Its Applications, vol. 189. Springer, Cham (Switzerland), 253-287.
• Barberi, G., A. Benedetti, P. Diaz-Fernandez, D.C. Sévin, J. Vappiani, G. Finka, F. Bezzo, P. Facco (2022). Accelerating cell lines selection in biopharmaceutical process development through machine learning on process and metabolomic dynamics information. Presented at: 36th International Forum Process Analytical Technology (IFPAC), 12th June – 15th June 2022, North Bethesda, MD (U.S.A.).
• Geremia, M., G. Bano, E. Tomba, M. Barolo, F. Bezzo (2022). Practical use of primary drying models in an industrial environment with limited availability of equipment sensors. Int. J. Pharm., 619, 121699.
• Cenci, F., G. Bano, C. Christodoulou, Y. Vueva, S. Zomer, M. Barolo, F. Bezzo, P. Facco (2022). Streamlining tablet lubrication design via model-based design of experiments. Int. J. Pharm., 614, 121435.

Year 2021

• Barberi, G., V. González-Alonso, S. Spilimbergo, M. Barolo, A. Zambon, P. Facco (2021). Optimization of the appearance quality in CO2 processed ready-to-eat carrots through image analysis. Foods, 10, 2999.
• Saccardo, A., E. Sforza, F. Bezzo (2021). Using a milli-scale continuous photobioreactor for steady state analysis of light and residence time on cell growth. Presented at: Workshop Giovani AISAM, 24th September 2021, Rome (Italy).
• Castaldello, C., A. Gubert, E. Sforza, P. Facco, F. Bezzo (2021). Microalgae monitoring in microscale photobioreactors via multivariate image analysis. ChemEngineering, 5, 49.
• Marechal, F., F. Bezzo, T. Damartzis, Eds. (2021). Energy and Chemical Engineering – Outcomes from the EFCE Energy Section in the 12th European Congress on Chemical Engineering (ECCE12). Frontiers, Lausanne (Switzerland).
• Destro, F., S. García-Muñoz, F. Bezzo, M. Barolo (2021). Powder composition monitoring in continuous pharmaceutical solid-dosage form manufacturing using state estimation – Proof of concept. Int. J. Pharm., 695, 120808.
• Zuecco, F., M. Cicciotti, P. Facco, F. Bezzo, M. Barolo (2021). Backstepping methodology to troubleshoot plant-wide batch processes in data-rich industrial environments. Processes, 9, 1074.
• Destro, F., I. Hur, V. Wang, M. Abdi, X. Feng, E. Wood, S. Coleman, P. Firth, A. Barton, M. Barolo, Z. K. Nagy (2021). Mathematical modeling and digital design of an intensified filtration-washing-drying unit for pharmaceutical continuous manufacturing. Chem. Eng. Sci., 244, 116803.
• d’Amore, F., M.C. Romano, F. Bezzo (2021). Optimal design of European supply chains for carbon capture and storage from industrial emission sources including pipe and ship transport. Int. J. Greenh. Gas Con., 109, 10337.
• Barberi, G., A. Benedetti, P. Diaz-Fernandez, G. Finka, F. Bezzo, M. Barolo, P. Facco (2021). Anticipated cell lines selection in bioprocess scale-up through machine learning on metabolomics dynamics. IFAC PapersOnLine, 54, 85-90.
• Destro, F., S. Coleman, P. Firth, A. Barton, M. Barolo, Z. K. Nagy (2021). Continuous integrated filtration, washing and drying of aspirin: digital design of a novel intensified unit. IFAC PapersOnLine, 54, 134-139.
• d’Amore, F., M.C. Romano, F. Bezzo (2021). Optimising carbon capture and storage supply shains for the European Industry. IFAC PapersOnLine, 54, 609-614.
• Destro, F., V. Wang, M. Abdi, X. Feng, E. Wood, S. Coleman, P. Firth, A. Barton, M. Barolo, Z.K. Nagy (2021). Quality-by-Control of continuous drug substance isolation: study on a novel unit for integrated filtration-drying. In: Computer-Aided Chemical Engineering 50, Proc. of the 31st European Symposium on Computer Aided Process Engineering (M. Türkay, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 1363-1369.
• d’Amore, F., M.C. Romano, F. Bezzo (2021). Carbon capture and storage from energy and industrial emission sources: a Europe-wide supply chain optimization. J. Clean. Prod., 290, 125202.
• Soave, N., M. Barolo (2021). On the effectiveness of heat-exchanger bypass control. Processes, 9, 244.

Year 2020

• Destro, F., S. García Muñoz, F. Bezzo, M. Barolo (2020). Monitoring loss-in-weight feeders through state estimation. Presented at: the 2020 Virtual AIChE Annual Meeting, November 16-20.
• Destro, F., I. Hur, V. Wang, M. Abdi, X. Feng, E. Wood, M. Barolo, Z. K. Nagy (2020). Digital design of an intensified filtration-drying unit for pharmaceutical upstream manufacturing. Presented at: the 2020 Virtual AIChE Annual Meeting, November 16-20.
• De-Luca, R., G. Bano, E. Tomba, F. Bezzo, M. Barolo (2020). Accelerating the development and transfer of freeze-drying operations for the manufacturing of biopharmaceuticals by model-based design of experiments. Ind. Eng. Chem. Res., 59, 20071−20085.
• Facco, P., S. Zomer, R.C. Rowland-Jones, D. Marsh, P. Diaz-Fernandez, G. Finka, F. Bezzo, M. Barolo (2020). Using data analytics to accelerate biopharmaceutical process scale-up. Biochem Eng. J., 164, 107791.
• d’Amore, F., F. Bezzo (2020). Optimizing the design of supply chains for carbon capture, utilization and sequestration in Europe: a preliminary assessment. Front. Energy Res., 8, 190.
• Bano, G., R. De-Luca, E. Tomba, F. Bezzo, M. Barolo (2020). A stochastic modelling approach to describe the effect of drying heterogeneity in the lyophilisation of pharmaceutical vaccines. In: Computer-Aided Chemical Engineering 48, Proc. of the 30th European Symposium on Computer Aided Process Engineering (S. Pierucci, F. Manenti, G.L. Bozzano, D. Manca, Eds.), Elsevier, Amsterdam (The Netherlands), 55-60.
• Zuecco, F., P. Facco, F. Bezzo, S.R. Hoeser, M.R. Fogli, M. Cicciotti, M. Barolo (2020). Troubleshooting an industrial batch process for the manufacturing of specialty chemicals using data analytics. In: Computer-Aided Chemical Engineering 48, Proc. of the 30th European Symposium on Computer Aided Process Engineering (S. Pierucci, F. Manenti, G.L. Bozzano, D. Manca, Eds.), Elsevier, Amsterdam (The Netherlands), 1129-1134.
• d’Amore, F., L. Lovisotto, F. Bezzo (2020). A European optimisation tool for carbon capture and storage, accounting for delays in public procurement. In: Computer-Aided Chemical Engineering 48, Proc. of the 30th European Symposium on Computer Aided Process Engineering (S. Pierucci, F. Manenti, G.L. Bozzano, D. Manca, Eds.), Elsevier, Amsterdam (The Netherlands), 1327-1332.
• Destro, F., A.J. Salmon, P. Facco, C.C. Pantelides, F. Bezzo, M. Barolo (2020). Monitoring a segmented fluid bed dryer by hybrid data-driven/knowledge-driven modeling. IFAC-PapersOnLine, 53, 11638-11643.
• Barbera, E., F. Mantoan, A. Bertucco, F. Bezzo (2020). Hydrogenation to convert CO2 to C1 chemicals: technical comparison of different alternatives by process simulation. Can. J. Chem. Eng., 98, 1893–1906.
• Destro, F., P. Facco, S. Garcia-Muñoz, F. Bezzo, M. Barolo (2020). A hybrid framework for process monitoring: Enhancing data-driven methodologies with state and parameter estimation. J. Process Cont., 92, 333-351.
• Zanella, L., P. Fusco, M.R. Esposito, P. Facco, F. Bezzo, E. Cimetta (2020). Employing heterogeneous ensembles of classifiers to assess the Impact of hypoxia in the protein expression of neuroblastoma-derived exosomes. Presented at: RECOMB2020 – 24th International Conference On Research In Computational Molecular Biology, 22-25 June 2020, Padova (Italy).
• Bano, G., R. De-Luca, E. Tomba, A. Marcelli, F. Bezzo, M. Barolo (2020). Primary drying optimization in pharmaceutical freeze-drying: a multi-vial stochastic modeling framework. Ind. Eng. Chem. Res., 59, 5056−5071.
• d’Amore, F., F. Bezzo (2020). Optimal design of European cooperative supply chains for carbon capture, transport and sequestration with costs share policies. AIChE J., 66, e16872.
• Palací-López, D., P. Villalba, P. Facco, M. Barolo, A. Ferrer (2020). Improved formulation of the latent variable model inversion-based optimization problem for quality by design applications. J. Chemom., 34, e3230.
• d’Amore, F., L. Lovisotto, F. Bezzo (2020). Introducing social acceptance into the design of carbon capture and sequestration supply chains: a case study at a European level. J. Clean. Prod., 249, 119337.

Year 2019

• Castaldello, C., E. Sforza, E. Cimetta, T. Morosinotto, F. Bezzo (2019). Microfluidic platform for microalgae cultivation under non-limiting CO2 conditions. Ind. Eng. Chem. Res., 58, 18036−18045.
• Palací-López, D., P. Facco, M. Barolo, A. Ferrer (2019). New tools for the design and manufacturing of new products based on latent variable model inversion. Chemom. Intell. Lab. Sys., 194, 103848.
• Ghidoni, S., M. Fedeli, M. Barolo (2019). Sharing active learning practices to improve teaching: peer observation of active teaching in a School of Engineering. In: Connecting Adult Learning and Knowledge Management ‒ Strategies for Learning and Change in Higher Education and Organizations (M. Fedeli and L.L. Bierema, Eds.), Springer, Cham (Switzerland), 199-213.
• Tomba, E., R. De-Luca, G. Bano, F. Bezzo, M. Barolo (2019). Towards digitalization of pharma industry: advanced design of experiments approaches to generate highly informative data for lyophilization process development. Presented at: Pharmaceutical Freeze Drying Technology – PDA Exchange Series, 24-25 September 2019, Berlin (Germany).
• d’Amore, F., F. Bezzo (2019). Optimal design of supply chains for carbon capture, storage, and utilisation. In: ECCE12 – The 12th European Congress of Chemical Engineering. ECAB5 – The 5th European Congress of Applied Biotechnology, 15-19 September 2019, Florence, Italy. Book of abstracts, 9.
• De Luca, R., G. Bano, E. Tomba, F. Bezzo, M. Barolo (2019). Improving the calibration of freeze drying models by model-based design of experiments. In: ECCE12 – The 12th European Congress of Chemical Engineering. ECAB5 – The 5th European Congress of Applied Biotechnology, 15-19 September 2019, Florence, Italy. Book of abstracts, 1573.
• Castaldello, C., E. Sforza, F. Bezzo (2019). Scenedesmus obliquus growth in semi-batch microphotobioreactor under non limiting CO2 supply. In: ECCE12 – The 12th European Congress of Chemical Engineering. ECAB5 – The 5th European Congress of Applied Biotechnology, 15-19 September 2019, Florence, Italy. Book of abstracts, 1587.
• d’Amore, F., V. Baldo, F. Bezzo (2019). The contribution of CO2 utilisation to GHG emission reduction: some results based on a European supply chain optimisation. In: ECCE12 – The 12th European Congress of Chemical Engineering. ECAB5 – The 5th European Congress of Applied Biotechnology, 15-19 September 2019, Florence, Italy. Book of abstracts, 2077.
• Facco, P., S. Zomer, R.C. Rowland-Jones, D. Marsh, P. Diaz-Fernandez, G. Finka, F. Bezzo, M. Barolo (2019). Scale-up/down of a monoclonal antibody manufacturing bioprocess using data analytics. In: Proc. Foundations of Process Analytics and Machine learning (FOPAM), 6-9 August 2019, Raleigh, U.S.A., Article #20.
• Quaglio, M., F. Bezzo, A. Gavriilidis, E. Cao, N. Al-Rifai, F. Galvanin (2019). Identification of kinetic models of methanol oxidation on silver in the presence of uncertain catalyst behaviour. AIChE J., 65, e16707.
• d’Amore, F., N. Sunny, D. Iruretagoyena, F. Bezzo, N. Shah (2019). European supply chains for carbon capture, transport and sequestration, with uncertainties in geological storage capacity: insights from economic optimisation. Comp. Chem. Eng., 129, 106521.
• Taverna, B., A. Casonato, F. Bezzo, F. Galvanin (2019). A framework for the optimal design of a minimum set of clinical trials to characterize von Willebrand disease. Comp. Meth. Prog. Bio., 179, 104989.
• Zanella, L., P. Fusco, M.R. Esposito, P. Facco, F. Bezzo, E. Cimetta (2019). A data-driven approach to assess the role of neuroblastoma-derived exosomes in cancer dissemination. Presented at: CIBCB 2019 – 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, 9-11 July 2019, Siena, Italy.
• De Luca, R., G. Bano, E. Tomba, F. Bezzo, M. Barolo (2019). Model-based design of experiments to enable fast product transfer across freeze-drying units. In: Proc. EuroDrying2019 – 7th European Drying Conference, 10-12 July 2019, Torino (Italy), 235-239.
• d’Amore, F., N. Sunny, D. Iruretagoyena, F. Bezzo, N. Shah (2019). Optimising European supply chains for carbon capture, transport and sequestration, including uncertainty on geological storage availability. In: Computer-Aided Chemical Engineering 46, Proc. of the 29th European Symposium on Computer Aided Process Engineering (A.A. Kiss, E. Zondervan, R. Lakerveld, and L. Özkan, Eds.), Elsevier, Amsterdam (The Netherlands), 199-204.
• Bano, G., P. Facco, M. Ierapetritou, F. Bezzo, M. Barolo (2019). Real-time design space description in pharmaceutical manufacturing. In: Computer-Aided Chemical Engineering 46, Proc. of the 29th European Symposium on Computer Aided Process Engineering (A.A. Kiss, E. Zondervan, R. Lakerveld, and L. Özkan, Eds.), Elsevier, Amsterdam (The Netherlands), 661-666.
• Bortoli, A., F. Bezzo, F. Galvanin (2019). Optimal design of experiments for the identification of kinetic models of 5-hydroxymethylfurfural hydrogenation. In: Computer-Aided Chemical Engineering 46, Proc. of the 29th European Symposium on Computer Aided Process Engineering (A.A. Kiss, E. Zondervan, R. Lakerveld, and L. Özkan, Eds.), Elsevier, Amsterdam (The Netherlands), 685-690.
• Bano, G., P. Facco, M. Ierapetritou, F. Bezzo, M. Barolo (2019). Design space maintenance by online model adaptation in pharmaceutical manufacturing. Comp. Chem. Eng., 127, 254–271.
• d’Amore, F., L. Lovisotto, F. Bezzo (2019). Can we include public acceptance effects in the optimal design of CCS supply chains? A European case study. Presented at: Gordon Research Conference: Carbon capture, utilization and storage, 5-10 May 2019, Les Diablerets (Switzerland).
• Perin, G., A. Bellan, A. Bernardi, F. Bezzo, T. Morosinotto (2019). The potential of quantitative methods to improve microalgae photosynthetic efficiency. Physiol. Plantarum, 166, 380–391.
• Benedetti, A., J. Khoo, S. Sharma, P. Facco, M. Barolo, S. Zomer (2019). Data analytics on raw material properties to accelerate pharmaceutical drug development. Int. J. Pharm., 563, 122-134.
• Albarello, A., D. Simionato, T. Morosinotto, F. Bezzo (2019). Model-based optimization of microalgae growth in a batch plant. Ind. Eng. Chem. Res., 58, 5121−5130.
• De-Luca, R., F. Bezzo, Q. Béchet, O. Bernard (2019). Meteorological data-based optimal control strategy for microalgae cultivation in open pond systems. Complexity, 2019, ID 4363895.

Year 2018

• De-Luca, R., M. Trabuio, M. Barolo, F. Bezzo (2018). Microalgae growth optimization in open ponds with uncertain weather data. Comp. Chem. Eng., 117, 410-419.
• Soprana, M., A.C. Santomaso, P. Facco (2018). Artificial vision system for the online characterization of the particle size distribution of bulk materials on conveyor belts. In: Computer-Aided Chemical Engineering 43, 28th European Symposium on Computer Aided Process Engineering (A. Friedl, J.J. Klemeš, S. Radl, P.S. Varbanov, T. Wallek, Eds.), Elsevier, Amsterdam (The Netherlands), 1667-1672.
• Galvanin, F., F. Bezzo (2018). Advanced techniques for the optimal design of experiments in pharmacokinetics. In: Computer-Aided Chemical Engineering 42. Quantitative Systems Pharmacology: Models and Model-Based Systems with Applications (D. Manca, Ed.), Elsevier, Amsterdam (The Netherlands), 65-83.
• Bezzo, F., F. Galvanin (2018). On the identifiability of physiological models: Optimal design of clinical tests. In: Computer-Aided Chemical Engineering 42. Quantitative Systems Pharmacology: Models and Model-Based Systems with Applications (D. Manca, Ed.), Elsevier, Amsterdam (The Netherlands), 85-110.
• De-Luca, R., A. Bernardi, A. Meneghesso, T. Morosinotto, F. Bezzo (2018). Modelling the photosynthetic electron transport chain in Nannochloropsis gaditana via exploitation of absorbance data. Algal Res., 33, 430-439.
• Bano, G., Z. Wang, P. Facco, F. Bezzo, M. Barolo, M. Ierapetritou (2018). Dimensionality reduction in feasibility analysis by latent variable modeling. In: Computer-Aided Chemical Engineering 44, Proc. of the 13th International Symposium on Process Systems Engineering – PSE 2018, July 1-5 2018 (M.R. Eden, M.G. Ierapetritou, G.P. Towler, Eds.), Elsevier, Amsterdam (The Netherlands), 1477-1482.
• Taverna, B., A. Casonato, F. Bezzo, F. Galvanin (2018). Towards the optimal design of a minimum set of clinical trials for the identification and characterization of VWD. In: Computer-Aided Chemical Engineering 44, Proc. of the 13th International Symposium on Process Systems Engineering – PSE 2018, July 1-5 2018 (M.R. Eden, M.G. Ierapetritou, G.P. Towler, Eds.), Elsevier, Amsterdam (The Netherlands), 2101-2106.
• d’Amore, F., P. Mocellin, C. Vianello, G. Maschio, F. Bezzo (2018). Towards the economic optimisation of European supply chains for CO2 capture, transport and sequestration, including societal risk analysis. In: Computer-Aided Chemical Engineering 44, Proc. of the 13th International Symposium on Process Systems Engineering – PSE 2018, July 1-5 2018 (M.R. Eden, M.G. Ierapetritou, G.P. Towler, Eds.), Elsevier, Amsterdam (The Netherlands), 2305-2310.
• Bano, G., P. Facco, F. Bezzo, M. Barolo (2018). Probabilistic design space determination in pharmaceutical product development: a Bayesian/latent variable approach. AIChE J., 64, 2438-2449.
• Bano, G., Z. Wang, P. Facco, F. Bezzo, M. Barolo, M. Ierapetritou (2018). A novel and systematic approach to identify the design space of pharmaceutical processes. Comp. Chem. Eng., 115, 309-322.
• d’Amore, F., P. Mocellin, C. Vianello, G. Maschio, F. Bezzo (2018). Economic optimisation of European supply chains for CO2 capture, transport and sequestration, including societal risk analysis and risk mitigation measures. Appl. Energy, 223, 401-415.
• Facco, P., N. Meneghetti, F. Bezzo, M. Barolo (2018). Mining information from developmental data: process understanding, design space identification, and product transfer. In: Multivariate Analysis in the Pharmaceutical Industry (A.P. Ferreira, J.C. Menezes, M. Tobyn Eds.), Academic Press, San Diego (U.S.A.), 269-294.
• Ascenso, L., F. d’Amore, A. Carvalho, F. Bezzo (2018). Assessing multiple biomass-feedstock in the optimization of power and fuel supply chains for sustainable mobility. Chem. Eng. Res. Des., 131, 127-143.
• Castaldello, C., F. Galvanin, A. Casonato, R. Padrini, M. Barolo, F. Bezzo (2018). A Model-based protocol for the diagnosis of von Willebrand disease. Can. J. Chem. Eng., 96, 628-638.
• Ferrari, M., F. Galvanin, M. Barolo, V. Daidone, R. Padrini, F. Bezzo, A. Casonato (2018). A mechanistic model to quantify von Willebrand factor release, survival and proteolysis in patients with von Willebrand disease. Thromb. Haemost., 118, 309-319.

Year 2017

• Morosinotto, T., F. Bezzo (2017). A model based approach to drive genetic engineering in microalgae. In: Book of abstracts: AlgaEurope 2017, 5-7 December 2017, Berlin (Germany).
• Perin, G., A. Bernardi, A. Bellan, F. Bezzo, T. Morosinotto (2017). A mathematical model to guide genetic engineering of photosynthetic metabolism. Metab. Eng., 44, 337-347.
• Herwig, C., J. Glassey, N. Kockmann, K. Gernaey, M. Barolo (2017). Better by design. TCE – The Chem. Eng., Sept. (915), 41-43.
• Taverna, B., A. Casonato, F. Bezzo, F. Galvanin (2017). Towards the Optimal Design of a Minimal Set of Clinical Tests for the Identification and Characterization of Von Willebrand Disease. Presented at: AIChE 2014 Annual Meeting, 29 October-3 November 2017, Minneapolis, USA.
• Dal-Pastro, P. Facco, E. Zamprogna, F. Bezzo, M. Barolo (2017). Model-based approach to the design and scale-up of wheat milling operations – Proof of concept. Food Bioprod. Process., 106, 127-136.
• De-Luca, R., M. Trabuio, M. Barolo, F. Bezzo (2017). Microalgae growth optimization in open ponds using uncertain weather data. Presented at WCCE10: 10th World Congress of Chemical Engineering, 1-5 October 2017, Barcelona (Spain).
• Bano, G., P. Facco, N. Meneghetti, F. Bezzo, M. Barolo (2017). Handling parametric and measurement uncertainty for design space determination in pharmaceutical product development: a Bayesian approach. Presented at WCCE10: 10th World Congress of Chemical Engineering, 1-5 October 2017, Barcelona (Spain).
• d’Amore, F., F. Bezzo (2017). Economic optimisation of European supply chains for CO2 capture, transport and sequestration. Int. J. Greenh. Gas Con., 65, 99-116.
• Bernardi, A., A. Nikolaou, A. Meneghesso, B. Chachuat, T. Morosinotto, F. Bezzo (2017). Semi-empirical modeling of microalgae photosynthesis in different acclimation states – Application to N. gaditana. J. Biotechnol., 259, 63-72.
• d’Amore, F., F. Bezzo (2017). Assessing technological options in biomass-based energy supply chains through a quantitative methodology for risk and regret evaluation. In: Computer-Aided Chemical Engineering 40, Proc. of the 27th European Symposium on Computer Aided Process Engineering (A. Espuña, M. Graells, and L. Puigjaner, Eds.), Elsevier, Amsterdam (The Netherlands), 2491-249.
• Castaldello, C., A. Gubert, F. Galvanin, A. Casonato, R. Padrini, M. Barolo, F. Bezzo(2017). A model-based support for diagnosing von Willebrand disease. In: Computer-Aided Chemical Engineering 40, Proc. of the 27th European Symposium on Computer Aided Process Engineering (A. Espuña, M. Graells, and L. Puigjaner, Eds.), Elsevier, Amsterdam (The Netherlands), 2779-2884.
• d’Amore, F., F. Bezzo (2017). Managing technology performance risk in the strategic design of biomass-based supply chains for energy in the transport sector. Energy, 138, 563-574.
• De-Luca, R., F. Bezzo, Q. Béchet, O. Bernard (2017). Optimization of algal ponds operation using weather forecasts. Presented at ISAP2017 – 6th International Congress of the Society of Applied Phycology, 18-23 June 2017, Nantes (France).
• Facco, P., G. Bano, F. Bezzo, M. Barolo (2017). Multivariate statistical approaches to aid pharmaceutical processes: product development and process monitoring in a Quality-by-Design perspective. Presented at EuroPACT 2017 – 4th European Conference on Process Analytics and Control Technology, 10-12 May 2017, Potsdam (Germany).
• De-Luca, R., F. Bezzo, Q. Béchet, O. Bernard (2017). Exploiting meteorological forecasts for the optimal operation of algal ponds. J. Process Cont., 55, 55-65.
• Ferrari, M., V. Pengo, M. Barolo, F. Bezzo, R. Padrini (2017). Assessing the relative potency of (S)- and (R)-warfarin with a new PK-PD model, in relation to VKORC1 genotypes. Eur. J.Clin. Pharmacol., 73, 699–707.
• Bano, G., P. Facco, N. Meneghetti, F. Bezzo, M. Barolo (2017). Uncertainty back-propagation in PLS model inversion for design space determination in pharmaceutical product development. Comput. Chem. Eng., 101, 110-124.
• Facco, P., A. C. Santomaso, M. Barolo (2017). Artificial vision system for particle size characterization from bulk materials. Chem. Eng. Sci., 164, 246-257.
• Quaglio, M., F. Bezzo, A. Gavriilidis, E. Cao, F. Galvanin (2017). Identification of kinetic models of partial methanol oxidation over silver in the presence of uncertain catalyst behaviour. Presented at UK Catalysis Conference, 4-6 January 2017, Manchester (U.K.).

Year 2016

• Cimetta, E., T. Morosinotto, F. Bezzo (2016). Model-based design of experiments and photobioreactor-on-a-chip technology for rapid and reliable modelling of microalgae growth. Presented at AlgaEurope 2016, 13-15 December 2016, Madrid (Spain).
• Quaglio, M., F. Bezzo, A. Gavriilidis, E. Cao, F. Galvanin (2016). A MINLP approach to model-based data mining for the quick development of nonlinear dynamic models. In: Proceedings of AIChE 2014 Annual Meeting, 13-18 November 2016, San Francisco, USA, 677-679.
• Pradella, D., F. Bezzo, F. Galvanin (2016). Optimal design of feasible clinical tests for the identification of physiological models of type 1 diabetes mellitus. In: Proceedings of AIChE 2014 Annual Meeting, 13-18 November 2016, San Francisco, USA.
• Perin, G., E. Cimetta, F. Monetti, T. Morosinotto, F. Bezzo (2016). Novel micro-photobioreactor design and monitoring method for assessing microalgae response to light intensity. Algal Res., 19, 69-76.
• Bonvin, D., C. Georgakis, C. C. Pantelides, M. Barolo, M. A. Grover, D. Rodrigues, R. Schneider, D. Dochain (2016). Linking models and experiments. Ind. Eng. Chem. Res., 55, 6891-6903.
• Bernardi, A., A. Meneghesso, T. Morosinotto, F. Bezzo (2016). Modelling photoacclimation in microalgae integrating chlorophyll fluorescence and photosynthesis rate measurements. Presented at the 6th International Conference on Algal Biomass, Biofuels and Bioproducts, 26 – 29 June, 2016, San Diego (U.S.A.).
• De-Luca, R., F. Galvanin, F. Bezzo (2016). A methodology for direct exploitation of available information in the online model-based redesign of experiments. Comput. Chem. Eng., 91, 195-205.
• De-Luca, R., Q. Béchet, F. Bezzo, O. Bernard (2016). Optimal operation of algal ponds accounting for future meteorology. In: IFAC-PapersOnLine Series. Proc. 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS-CAB 2016), 6-8 June 2016, Trondheim, Norway (B. Foss, H. Budman, I. Smets, S. Skogestad and L. Msland, Eds.),  49, 1062-1067.
• d’Amore, F., F. Bezzo (2016). Optimising biomass-based energy supply chains for sustainable mobility. In: Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering (Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 145-150.
• Bernardi, A., A. Meneghesso, T. Morosinotto, F. Bezzo (2016). A model-based investigation of genetically modified microalgae strains. In: Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering (Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 607-612.
• Meneghetti, N., P. Facco, F. Bezzo, C. Himawan, S. Zomer, M. Barolo (2016). Automated data review in secondary pharmaceutical manufacturing by pattern recognition techniques. In: Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering (Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 799-804.
• Dal-Pastro, F., P. Facco, F. Bezzo, E. Zamprogna, M. Barolo (2016). Using PLS and NIR spectra to model the first-breakage step of a grain milling process. In: Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering (Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 1171-1176.
• Ferrari, M., L. Bosa, R. De-Luca, M. Barolo, C.F. Zambon, V. Pengo, R. Padrini, F. Bezzo (2016). A pharmacokinetic-pharmacodynamic model for individualisation of an oral anticoagulation therapy. In: Computer-Aided Chemical Engineering 38, 26th European Symposium on Computer Aided Process Engineering (Z. Kravanja and M. Bogataj, Ed.), Elsevier, Amsterdam (The Netherlands) 2313-2318.
• Dal-Pastro, F., P. Facco, F. Bezzo, E. Zamprogna, M. Barolo (2016). Data-driven modeling of milling and sieving operations in a wheat milling process. Food Bioprod. Process., 99, 99-108.
• Meneghetti, N., P. Facco, F. Bezzo, C. Himawan, S. Zomer, M. Barolo (2016). Knowledge management in secondary pharmaceutical manufacturing by mining of data historians – A proof-of-concept study. Int. J Pharm., 505, 394–408.
• Bernardi, A., A. Nikolaou, A. Meneghesso, T. Morosinotto, B. Chachuat, F. Bezzo (2016). High-fidelity modelling methodology of light-limited photosynthetic production in microalgae. PLOS ONE, 11, e0152387.
• Fasolato, L., L. Carraro, P. Facco, B. Cardazzo, S. Balzan, A. Taticchi, N. A. Andreani, F. Montemurro, M. E. Martino, G. Di Lecce, T. Gallina Toschi, E. Novelli (2016). Agricultural by-products with bioactive effects: a multivariate approach to evaluate microbial and physicochemical changes in a fresh pork sausage enriched with phenolic compounds from olive vegetation water. Int. J. Food Microbiol., 228, 34-43.
• d’Amore, F., F. Bezzo (2016). Strategic optimisation of biomass-based energy supply chains for sustainable mobility. Comput. Chem. Eng., 87, 68–81.
• Galvanin, F., R. Marchesini, M.  Barolo, F. Bezzo, M. Fidaleo (2016). Optimal design of experiments for parameter identification in electrodialysis models. Chem. Eng. Res. Des., 105, 107–119.
• Paolucci, N., F. Bezzo, A. Tugnoli (2016). A two-tier approach to the optimization of a biomass supply chain for pyrolysis processes. Biomass. Bioenerg., 84, 87-97.
• Ottavian, M., E. Tomba, M. Barolo (2016). Advanced process decision making using multivariate latent variable methods. In: Process Simulation and Data Modeling in Solid Oral Drug Development and Manufacturing (M. G. Ierapetritou and R. Ramachandrean, Eds.), Springer, New York (NJ), 159-189.

Year 2015

• Bonvicini, G., A. Venturin, C. Miotti, D. Curiel, F. Bezzo, L. Facco (2015). Recommendations towards profitable production chains for algae-based biofuels. In: Book of abstracts: 2^nd EABA and EC Algae Contractors’ Conference and the 9^th International Algae Congress. Lisbon (Portugal), 1-3 December 2015, p. 69-70.
• Largoni, M., P. Facco, D. Bernini, F. Bezzo, M. Barolo (2015). Quality-by-Design approach to monitor the operation of a batch bioreactor in an industrial avian vaccine manufacturing process. J. Biotechnol., 211, 87-96.
• Depalo, A., M. Barolo, F. Bezzo, R. Muradore (2015). Phase identification for product quality prediction in batch processes: application to industrial resin production. In: Proceedings of European Control Conference 2015, Linz, Austria, July 15-17, 2015, 3501-3506.
• Facco, P., M. Largoni, D. Bernini, F. Bezzo, M. Barolo (2015). Monitoring an industrial batch process for the manufacturing of avian vaccines through Quality-by-Design methodologies. In: Proceedings 14th Scandinavian Symposium on Chemometrics, June 14-17, Chia (CA), Italy, 38.
• Meneghetti, N., P. Facco, S. Bermingham, D. Slade, F. Bezzo, M. Barolo (2015). First-principles model diagnosis in batch systems by multivariate statistical modeling. In: Computer-Aided Chemical Engineering 37, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering (K.V. Gernaey, J.K. Huusom, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 437-442.
• Dal-Pastro, F., P. Facco, F. Bezzo, H. Thomas, E. Zamprogna, M. Barolo (2015). Data-based multivariate modeling of a grain comminution process. In: Computer-Aided Chemical Engineering 37, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering (K.V. Gernaey, J.K. Huusom, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 2219-2224.
• Ortiz-Gutiérrez, R.A., S. Giarola, N. Shah, F. Bezzo (2015). An approach to optimize multi-enterprise biofuel supply chains including Nash equilibrium models. In: Computer-Aided Chemical Engineering 37, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering (K.V. Gernaey, J.K. Huusom, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 2255-2260.
• Bernardi, A., A. Nikolaou, A. Meneghesso, B. Chachuat, T. Morosinotto, F. Bezzo (2015). A framework for the dynamic modelling of PI curves in microalgae. In: Computer-Aided Chemical Engineering 37, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering (K.V. Gernaey, J.K. Huusom, R. Gani, Eds.), Elsevier, Amsterdam (The Netherlands), 2483-2488.
• De-Luca, R., F. Galvanin, F. Bezzo (2015) A framework for a direct exploitation of available information in the online model-based redesign of experiments. In: Book of abstract: 25^th European Symposium on Computer Aided Process Engineering,Copenhagen (Denmark), 31 May – 4 June 2015 (M.O. Bertran, T. Bisgaard, R. Frauzem, Eds.), Abstract n. 55, p. 30.
• Bernardi, A., A. Nikolaou, A. Meneghesso, B. Chachuat, T. Morosinotto, F. Bezzo (2015). Using fluorescence measurements to model key phenomena in microalgae photosynthetic mechanisms, Chem. Eng. Trans., 43, 217-222.
• Facco, P., F. Dal Pastro, N. Meneghetti, F. Bezzo, M. Barolo (2015). Bracketing the design space within the knowledge space in pharmaceutical product development. Ind. Eng. Chem. Res., 54, 5128–5138.
• Giarola, S., F. Bezzo (2015). Bioethanol supply chain design and optimization: some achievements and future challenges for the development of sustainable biorefineries. In: Computer-Aided Chemical Engineering 36. Sustainability of products, processes and supply chains. Theory and applications (F. You, Ed.), Elsevier, Amsterdam (The Netherlands), 555-581.
• Ottavian, M., E. Franceschin, E. Signorin, S. Segato, P. Berzaghi, B. Contiero, G. Cozzi (2015). Application of near infrared reflectance spectroscopy (NIRS) on faecal samples from lactating dairy cows to assess two levels of concentrate supplementation during summer grazing in alpine pastures. Anim. Feed Sci. Tech., 202, 100-105.
• Nikolaou, A., A. Bernardi, A. Meneghesso, F. Bezzo, T. Morosinotto, B. Chachuat (2015). A model of chlorophyll fluorescence in microalgae integrating photoproduction, photoinhibition and photoregulation. J. Biotechnol., 194, 91-99.
• Mazzetto, F., G. Simoes-Lucas, R.A. Ortiz-Gutiérrez, D. Manca, F. Bezzo (2015). Impact on the optimal design of bioethanol supply chains by a new European Commission proposal. Chem. Eng. Res. Des., 93, 457-463.

Year 2014

• Nikolaou, A., A. Bernardi,  F. Bezzo, T. Morosinotto, B. Chachuat (2014). Dynamic modeling of photoproduction, photoregulation and photoinhibition in microalgae using chlorophyll fluorescence. Presented at the AIChE 2014 Annual Meeting, November 16-21, 2014, Atlanta, USA.
• Meneghetti, N., P. Facco, F. Bezzo, M. Barolo (2014). A methodology to diagnose process/model mismatch in first-principles models. Ind. Eng. Chem. Res., 53, 14002-14013.
• Nikolaou, A., A. Bernardi,  F. Bezzo, T. Morosinotto, B. Chachuat (2014). A Dynamic model of photoproduction, photoregulation and photoinhibition in microalgae using chlorophyll fluorescence. In: Preprints of the IFAC 19^th World Congress, Cape Town, South Africa. August 24-29, 4370-4375.
• Dalle Zotte, A., M. Ottavian, A. Concollato, L. Serva, R. Martelli, G. Parisi (2014). Authentication of raw and cooked freeze-dried rainbow trout (Oncorhynchus mykiss) by means of near infrared spectroscopy and data fusion. Food Res. Int., 60, 180-188.
• Rahman, M.S., M.E. Martino, B. Cardazzo, P. Facco, P. Bordin, R. Mioni, E. Novelli, L. Fasolato (2014). Vibrio trends in the ecology of the Venice lagoon. Appl. Environ. Microb., 80, 2372-2380
• Ortiz-Gutiérrez, R.A., F. Bezzo (2014). A game-theory approach for the analysis and optimization of biofuel supply chains. In: Proc. 22^nd European Biomass Conference and Exhibition (EU BC&E), 23-26 June 2014, Hamburg, Germany.
• Galvanin, F., A. Monte, A. Casonato, R. Padrini, M. Barolo, F. Bezzo (2014). Towards model-based diagnosis of von Willebrand disease. In: Computer-Aided Chemical Engineering 33, 24th European Symposium on Computer Aided Process Engineering (J.J. Klemeš, P.S. Varbanov, P.Y. Liew, Eds.), Elsevier, Amsterdam (The Netherlands) 583-588.
• Lucas, G., F. Bezzo, A. Carvalho (2014). Optimal design of a bioethanol supply chain considering different environmental impact assessment methods. In: Computer-Aided Chemical Engineering 33, 24th European Symposium on Computer Aided Process Engineering (J.J. Klemeš, P.S. Varbanov, P.Y. Liew, Eds.), Elsevier, Amsterdam (The Netherlands) 973-978.
• Meneghetti, N., P. Facco, F. Bezzo, M. Barolo (2014). Diagnosing process/model mismatch in first-principles models by latent variable modeling. In: Computer-Aided Chemical Engineering 33, 24th European Symposium on Computer Aided Process Engineering (J.J. Klemeš, P.S. Varbanov, P.Y. Liew, Eds.), Elsevier, Amsterdam (The Netherlands) 1897-1902.
• Bernardi, A., G. Perin, E. Sforza, F. Galvanin, T. Morosinotto, F. Bezzo (2014). An identifiable state model to describe light intensity influence on microalgae growth. Ind. Eng. Chem. Res., 53, 6738−6749.
• Rahman, M.S., M.E. Martino, B. Cardazzo, P. Facco, P. Bordin, R. Mioni, E. Novelli, L. Fasolato (2014). Vibrio trends in the ecology of the Venice lagoon. Appl. Environ. Microb., 80, 2372-2380.
• Galvanin, F., M. Barolo, R. Padrini, S. Casonato, F. Bezzo (2014). A model-based approach to the automatic diagnosis of Von Willebrand disease. AIChE J., 60, 1718-1727.
• Meneghetti, N., P. Facco, F. Bezzo, M. Barolo (2014). Process/model mismatch diagnosis by latent variable modeling. Presented at APM – Advanced Process Modelling Forum, London (U.K.), April 2-3.
• Ottavian, M., M. Barolo, S. García-Muñoz (2014). Multivariate image and texture analysis to investigate the erosion mechanism of film-coated tablets: An industrial case study. J. Pharm. Innov., 9, 5-15.
• Ottavian, M., L. Fasolato, L. Serva, P. Facco, M. Barolo (2014). Data fusion for food authentication: fresh/frozen-thawed discrimination in west African goatfish (Pseudupeneus prayensis) fillets. Food Bioprocess Technol., 7, 1025-1036.
• Tomba, E., M. Barolo, S. García-Muñoz (2014). In-silico product formulation design through latent variable model inversion. Chem. Eng. Res. Des., 92, 534-544.
• Ottavian, M., M. Barolo, S. García-Muñoz (2014). Maintenance of machine vision systems for product quality assessment. Part II. Addressing camera replacement. Ind. Eng. Chem. Res., 53, 1529-1536.
• Facco, P., M. Largoni, E. Tomba, F. Bezzo, M. Barolo (2014). Transfer of process monitoring models between plants: Batch systems. Chem. Eng. Res. Des., 92, 273–284.
• Tomba, E., N. Meneghetti, P. Facco, T. Zelenková, A.A. Barresi, D.L. Marchisio, F. Bezzo, M. Barolo (2014). Transfer of a nanoparticle product between different mixers using latent variable model inversion. AIChE J., 60, 123-135.
• Galvanin, F., R. De Luca, G. Ferrentino, M. Barolo, S. Spilimbergo, F. Bezzo (2014). Bacterial inactivation on solid food matrices through supercritical CO2: a correlative study. J. Food Eng., 120, 146-157.

Year 2013

• Ottavian, M., M. Barolo, S. García-Muñoz (2013). Multivariate image and texture analysis for film-coated tablets elegance assessment. In: Proc. DYCOPS 2013 – 10th International Symposium on Dynamics and Control of Process Systems (M. Henson and G. Pannocchia, Eds.), Mumbai (India), December 18-20, 331-336.
• Giarola, S., F. Bezzo, N. Shah (2013). A risk management approach to the economic and environmental strategic design of ethanol supply chains. Biomass Bioenerg., 58, 31-51.
• García-Muñoz, S., M. Ottavian and M. Barolo (2013). Overall elegance assessment for a solid oral dosage form using multivariate image analysis and multivariate texture analysis. Presented at the AIChE Annual Meeting, San Francisco (U.S.A.), 3-8 November.
• Bernardi, A., F. Galvanin, G. Perin, T. Morosinotto, F. Bezzo (2013). Modeling the effect of light intensity in microalgae growth. Presented at the AIChE Annual Meeting, San Francisco (U.S.A.), 3-8 November.
• Tomba, E., P. Facco, F. Bezzo, M. Barolo (2013). Latent variable modeling to assist the implementation of Quality-by-Design paradigms in pharmaceutical development and manufacturing – A review. Int. J. Pharm., 457, 283-297.
• Ortiz-Gutiérrez, R.A., S. Giarola, F. Bezzo (2013). Optimal design of ethanol supply chains considering carbon trading effects and multiple technologies for side-product exploitation. Environ. Technol., 34, 2189–2199.
• Ottavian, M., L. Fasolato, P. Facco, M. Barolo (2013). Foodstuff authentication from spectral data: toward a species-independent discrimination between fresh and frozen-thawed fish samples. J. Food Eng., 119, 765-775.
• Ottavian, M., M. Barolo, S. García-Muñoz (2013). Maintenance of machine vision systems for product quality assessment. Part I. Addressing changes in lighting conditions. Ind. Eng. Chem. Res., 52, 12309-12318.
• Mazzetto, F., R.A. Ortiz-Gutiérrez, D. Manca, F. Bezzo (2013). Strategic design of bioethanol supply chains including commodity market dynamics. Ind. Eng.Chem. Res., 52, 10305−10316.
• Galvanin, F., C.C. Ballan, M. Barolo, F. Bezzo (2013). A general model-based design of experiments approach to achieve practical identifiability of pharmacokinetic and pharmacodynamic models. J. Pharmacokinet. Pharmacodyn., 40, 451–467.
• Bezzo, F. (2013). Model-based experiment design, Non-sequential. In: Encyclopedia of Systems Biology (W. Dubitzky, O. Wolkenhauer, K.-H. Cho, H. Yokota, Eds.), Springer, New York (U.S.A.), 1413-1417.
• Boschetti, L., M. Ottavian, P. Facco, M. Barolo, L. Serva, S. Balzan and E. Novelli (2013). A correlative study on data from pork carcass and processed meat (Bauernspeck) for automatic estimation of chemical parameters by means of near-infrared spectroscopy. Meat Sci., 95, 621-628.
• Facco, P., M. Ottavian, L. Fasolato, M. Barolo (2013). Towards species-independent foodstuff authentication from spectral data: the case of fresh and frozen-thawed fish. 8th Colloquium Chemometricum Mediterraneum, Bevagna (Italy), 30 June – 4 July 2013.
• Facco, P., E. Tomba, N. Meneghetti, T. Zelenkova, A. Barresi, D. Marchisio, F. Bezzo, M. Barolo (2013). Transferring the manufacturing of a pharmaceutical nanoparticle product between different plants. 8th Colloquium Chemometricum Mediterraneum, Bevagna (Italy), 30 June – 4 July 2013.
• Bezzo, F. (2013). Strategic design of biofuel supply chains: a process systems engineering perspective. EURO-INFORMS XXVI 26th European Conference on Operational Research, Rome (Italy), 30 June – 4 July 2013.
• Tomba, E., P. Facco, F. Bezzo, S. García-Muñoz (2013). Exploiting historical databases to design the target quality profile for a new product. Ind. Eng. Chem. Res., 52, 8260−8271.
• Bernardi, A., S. Giarola, F. Bezzo (2013). Spatially explicit multi-objective optimization for the strategic design of first and second generation biorefineries including carbon and water footprints. Ind. Eng. Chem. Res., 52, 7170–7180.
• Galvanin, F., M. Barolo, R.C. Bonadonna, F. Bezzo (2013). Identification of complex models of type 2 diabetes from IVGTT data by model-based design of experiments. In: Computer-Aided Chemical Engineering 32, 23rd European Symposium on Computer Aided Process Engineering (A. Kraslawski and I. Turunen, Eds.), Elsevier, Amsterdam (The Netherlands), 133-138.
• Meneghetti, N., E. Tomba, P. Facco, F. Lince, D.L. Marchisio, A.A. Barresi, F. Bezzo, M. Barolo (2013). Supporting the transfer of products between different equipment through latent variable model inversion. In: Computer-Aided Chemical Engineering 32, 23rd European Symposium on Computer Aided Process Engineering (A. Kraslawski and I. Turunen, Eds.), Elsevier, Amsterdam (The Netherlands), 511-516.
• Ortiz-Gutiérrez, R.A., S. Penazzi, A. Bernardi, S. Giarola, F. Bezzo (2013). A spatially-explicit approach to the design of ethanol supply chains considering multiple technologies and carbon trading effects. In: Computer-Aided Chemical Engineering 32, 23rd European Symposium on Computer Aided Process Engineering (A. Kraslawski and I. Turunen, Eds.), Elsevier, Amsterdam (The Netherlands), 643-648.
• Tomba, E., M. De Martin, P. Facco, J. Robertson, S. Zomer, F. Bezzo, M. Barolo (2013). General procedure to aid the development of continuous pharmaceutical processes using multivariate statistical modeling – An industrial case study. Int. J. Pharm., 444, 25-39.
• Ottavian, M., M. Barolo, H. Zisser, E. Dassau, D. E. Seborg (2013). Adaptive blood glucose control for intensive care applications. Comput. Meth. Programs Biomed., 109, 144-156.
• Galvanin, F., M. Barolo, F. Bezzo (2013). On the use of continuous glucose monitoring systems to design optimal clinical tests for the identification of type 1 diabetes models. Comput. Meth. Programs Biomed., 109, 157-170.
• Facco, P., A. Masiero, A. Beghi (2013). Advances on multivariate image analysis for product quality monitoring. J. Process Cont., 23, 89-98.

Year 2012

• Bernardi, A., S. Giarola, F. Bezzo (2012). Optimising the economics and the carbon and water footprints of bioethanol supply chains. Biofuels, Bioprod. Biorefin., 6, 656-672.
• Tomba, E., M. Barolo, S. García-Muñoz (2012). Inversion of latent variable regression models to support product and process development. Presented at the AIChE Annual Meeting, Pittsburgh, PA (U.S.A.), October 28-November 2.
• Tomba, E., M. Barolo, S. García-Muñoz (2012). General framework for latent variable model inversion for the design and manufacturing of new products. Ind. Eng. Chem. Res., 51, 12886-12900.
• Ottavian, M., P. Facco, L. Fasolato, M. Barolo (2012). Multispectral data classification using similarity factors.Chemom. Intell. Lab. Sys., 118, 13-23.
• Ottavian, M., P. Facco, M. Barolo, P. Berzaghi, S. Segato, E. Novelli and S. Balzan (2012). Near-infrared spectroscopy to assist authentication and labeling of Asiago d’allevo cheese. J. Food. Eng., 113, 289-298.
• Ballan, C.C., F. Galvanin, M. Barolo, F. Bezzo (2012), Parallel design of pharmacodynamic experiments for the identification of antimicrobial-resistant bacterial population models. In: Computer-Aided Chemical Engineering 31, 11th International Symp. on Process Systems Engineering (I.A. Karimi, R. Srinivasan Eds.), Elsevier, Amsterdam (The Netherlands), 1125-1129.
• Bernardi, A., S. Giarola, F. Bezzo (2012), A framework for water footprint optimisation along the bioethanol supply chain. In:Computer-Aided Chemical Engineering 31, 11th International Symp. on Process Systems Engineering (I.A. Karimi, R. Srinivasan Eds.), Elsevier, Amsterdam (The Netherlands), 1372-1376.
• Tomba, E., S. García-Muñoz, P. Facco, F. Bezzo, M. Barolo (2012). A general framework for latent variable model inversion to support product and process design. In: Computer-Aided Chemical Engineering 30, 22nd European Symposium on Computer Aided Process Engineering (I.D.L. Bogle and M. Fairweather, Eds.), Elsevier, Amsterdam (The Netherlands), 512-516.
• Tomba, E., P. Facco, F. Bezzo, S. García-Muñoz, M. Barolo (2012). Combining fundamental knowledge and latent variable techniques to transfer process monitoring models between plants. Chemom. Intell. Lab. Sys., 116, 67-77.
• Facco, P., E. Tomba, F. Bezzo, S. García-Muñoz, M. Barolo (2012). Transfer of process monitoring models between different plants using latent variable techniques. Ind. Eng. Chem. Res., 51, 7327-7339.
• Galvanin, F., M. Barolo, G. Pannocchia, F. Bezzo (2012). Online model-based redesign of experiments with erratic models: a disturbance estimation approach. Comput. Chem. Eng., 42, 138-151.
• Giarola, S., A. Zamboni, F. Bezzo (2012). Environmentally conscious capacity planning and technology selection for bioethanol supply chains. Renewable Energy, 43, 61-72.
• Ottavian, M., P. Facco, L. Fasolato, E. Novelli, M. Mirisola, M. Perini, M. Barolo (2012). Use of near-infrared spectroscopy for fast fraud detection in seafood: application to the authentication of wild European sea bass (Dicentrarchus labrax). J. Agric. Food Chem., 60, 639-648.
• Giarola, S., N. Shah, F. Bezzo (2012). A comprehensive approach to the design of ethanol supply chains including carbon trading effects. Bioresour. Technol., 107, 175-185

Year 2011

• Giarola, S., A. Zamboni, F. Bezzo (2011). Environmentally conscious supply chain design and capacity planning: From first to second generation biofuel systems. In: AIDIC Conference Series, Vol.10 (S. Pierucci, Ed.), 137-145.
• Tomba, E., P. Facco, F. Bezzo, S. García-Muñoz, M. Barolo (2011). Transferring monitoring models between different scales through multivariate statistical techniques. Presented at AIChE 2011 Annual Meeting, Minneapolis, USA, 16-21 October 2011.
• Giarola, S., N. Shah, F. Bezzo (2011). Assessing the economic and environmental performance of ethanol supply chains under market uncertainty. Presented at ISAF XIX, Verona, Italy, 10-14 October 2011.
• Sforza, E., A. Bertucco, T. Morosinotto, F. Bezzo, G.M. Giacometti (2011). Autotrophic growth of Nannochloropsis salina in a continuous photobioreactor. Presented at ISAF XIX, Verona, Italy, 10-14 October 2011.
• Facco, P., A. Masiero, F. Bezzo, M. Barolo, A. Beghi (2011). Improved multivariate image analysis for product quality monitoring. Chemom. Intell. Lab. Sys., 109, 42-50.
• Facco, P., A. Masiero, F. Bezzo, A. Beghi, M. Barolo (2011). An improved multivariate image analysis method for quality control of nanofiber membranes. In: Proceedings IFAC 18th World Congress, 28 August-2 September 2011, Milan, Italy (S. Bittanti, A. Cenedese and S. Zampieri, Eds.) 12066-12071.
• Galvanin, F., M. Barolo, F. Bezzo (2011). Online redesign of clinical tests for the identification of type 1 diabetes models in the presence of continuous glucose monitoring systems. In: Proceedings IFAC 18th World Congress, 28 August-2 September 2011, Milan, Italy (S. Bittanti, A. Cenedese and S. Zampieri, Eds.) 8328-8333.
• Khor, C.S., S. Giarola, B. Chachuat, N. Shah (2011). An optimization-based framework for process planning under uncertainty with risk management. Chem. Prod. Process Model., 6(2), Article 2.
• Giarola, S., A. Zamboni, F. Bezzo (2011). Spatially-explicit multi-objective optimisation for design and planning of hybrid first and second generation biorefineries. Comput. Chem. Eng., 35, 1782-1797.
• Sforza, E., F. Bezzo, T. Morosinotto, G.M. Giacometti, A. Bertucco (2011). Effect of light intensity and high frequency pulsation on autotrophic growth of Nannochloropsis salina in flat plate reactor. Presented at the 1st International Conference on Algal Biomass, Biofuels and Bioproducts, 17-20 July 2011, Westin St. Luis, USA.
• Zamboni, A., R.J. Murphy, J. Woods, F. Bezzo, N. Shah (2011) Biofuels carbon footprints: Whole-systems optimization for GHG emissions reduction. Bioresour. Technol., 102, 7457-7465.
• Galvanin, F., M. Barolo, G. Pannocchia, F. Bezzo (2011). A disturbance estimation approach for online model-based redesign of experiments in the presence of systematic errors. In: Computer Aided Chemical Engineering 29, European Symposium on Computer Aided Process Engineering (E.N. Pistikopoulos, M.C. Georgiadis, A.C. Kokossis, Eds.), Elsevier, Amsterdam (The Netherlands), 467-471.
• Zamboni, A., S. Giarola, F. Bezzo (2011). Towards second generation bioethanol: Supply chain design and capacity planning. In: Computer Aided Chemical Engineering 29, European Symposium on Computer Aided Process Engineering (E.N. Pistikopoulos, M.C. Georgiadis, A.C. Kokossis, Eds.), Elsevier, Amsterdam (The Netherlands), 1693-1697.
• Giarola, S., A. Zamboni, F. Bezzo (2011). Supply chain design and capacity planning: From first to second generation biofuel systems. In: Chemical EngineeringTransactions 24, ICheaP-10 (S. Pierucci, Ed.), AIDIC, Milan (Italy) 253-258.
• Zamboni, A., N. Shah, F. Bezzo (2011). Whole-systems optimisation for carbon footprints reduction of corn bioethanol. In:Proceedings World Renewable Energy Congress 2011, 8-11 May, Linköping, Sweden (B. Moshfegh, Ed.), Linköping University Electronic Press, 3637-3644.
• Akgul, O., A. Zamboni, F. Bezzo, N. Shah, L.G. Papageorgiou (2011). Optimization-based approaches for bioethanol supply chains. Ind. Eng. Chem. Res., 50, 4927-4938.
• Dal Mas, M., S. Giarola, A. Zamboni, F. Bezzo (2011). Strategic design and investment capacity planning of the ethanol supply chain under price uncertainty. Biomass Bioenerg., 35, 2059-2071.
• Ottavian, M., M. Barolo, H. Zisser, E. Dassau, D.E. Seborg (2011). Improved blood glucose control for critically ill subjects. J. Process Control, 21, 331-342.
• Galvanin, F., M. Barolo, S. Macchietto, F. Bezzo (2011). Optimal design of clinical tests for the identification of physiological models of type 1 diabetes in the presence of model mismatch. Med. Biol. Eng. Comput., 49, 263-277.
• Galvanin, F., A. Boschiero, M. Barolo, F. Bezzo (2011). Model-based design of experiments in the presence of continuous measurement systems. Ind. Eng. Chem. Res., 50, 2167-2175.

Year 2010

• Galvanin, F., M. Barolo, S. Macchietto, F. Bezzo (2010). Identification of physiological models of type 1 diabetes mellitus by model-based design of experiments. In: Process Systems Engineering: Vol. 7 Dynamic Process Modeling (J.R. Banga, M.C. Georgiadis, E.N. Pistikopoulos, Eds.), Wiley-VCH Verlag, Weinheim (Germany), 545-581.
• Ottavian, M., M. Barolo, H. Zisser, E. Dassau, D.E. Seborg (2010). A novel glucose control strategy for intensive care unit applications. In: Proceedings UKACC International Conference on CONTROL 2010, Coventry University, UK, 7-10 September (K.J. Burham and V.E. Ersanilli, Eds.), 799-804.
• Galvanin, F., M. Barolo, F. Bezzo (2010). On the optimal design of clinical tests for the identification of type 1 diabetes models in the presence of continuous glucose monitoring systems. In: Proceedings UKACC International Conference on CONTROL 2010, 7-10 September, 2010, Coventry University, UK (K.J. Burham and V.E. Ersanilli, Eds.), 321-326.
• Facco, P., E. Tomba, M. Roso, M. Modesti, F. Bezzo, M. Barolo (2010). Automatic characterization of nanofiber assemblies by image texture analysis. Chemom. Intell. Lab. Sys., 103, 66-75.
• Facco, P., E. Tomba (2010). Soft sensor for the characterization of fibrous materials through multivariate and multiresolution image analysis. In: Proceedings IEEE Sensors Conference 2010, Waikoloa (Hawaii, USA), Novembre 4-8, 1319-132.
• Galvanin, F., M. Barolo, F. Bezzo (2010). A framework for model-based design of experiments in the presence of continuous measurement systems. In: Proceedings DYCOPS 2010, 9th Intern. Symp. on Dynamics and Control of Process Systems, Leuven, Belgium, 5-7 July 2010 (M. Kothare, M. Tade, A. Vande Wouwer, I. Smets, Eds.), IFAC, 557-562.
• Galvanin, F., M. Barolo, F. Bezzo, S. Macchietto (2010). A backoff strategy for model-based experiment design under parametric uncertainty. AIChE J., 56, 2088-2102.
• Dal Mas, M., S. Giarola, A. Zamboni, F. Bezzo (2010). Capacity planning and financial optimization of the bioethanol supply chain under price uncertainty. In: Computer Aided Chemical Engineering 28, European Symposium on Computer Aided Process Engineering (S. Pierucci, G. Buzzi-Ferraris, Eds.), Elsevier, Amsterdam (The Netherlands), 97-102.
• Facco, P., F. Benozzo, M. Barolo, P. Berzaghi (2010). Comparison between different standardization methods for the quality estimation of forages in portable NIR spectrometers. In: Proc. NIR on the Go 2010 (Padova, Italy; May 27-28), 23-25.
• Sudiro, M., M. Pellizzaro, F. Bezzo, A. Bertucco (2010). Simulated moving bed technology applied to coal gasification. Chem. Eng. Res. Des., 88, 465-475.
• Tomba, E., P. Facco, M. Roso, M. Modesti, F. Bezzo, M. Barolo (2010). Artificial vision system for the automatic measurement of interfiber pore characteristics and fiber diameter distribution in nanofiber assemblies. Ind. Eng. Chem. Res., 49, 2957-2968.
• Facco, P., F. Bezzo, M. Barolo (2010). Nearest neighbor method for the automatic maintenance of multivariate statistical soft sensors in batch processing. Ind. Eng. Chem. Res, 49, 2336-2347.
• Piccolo, C., M. Wiman, F. Bezzo, G. Lidén (2010). Enzyme adsorption on SO2 catalyzed steam-pretreated wheat and spruce material. Enzyme Microb. Technol., 46, 159-169.

Year 2009

• Facco, P., E. Tomba, M. Roso, M. Modesti, F. Bezzo and M. Barolo (2009). Surface characterization and quality monitoring of polymer nanofibre membranes using multivariate image analysis. Presented at the AIChE 2009 Annual Meeting, Nashville, USA, 8-13 Novembre 2009.
• Facco, P., F. Bezzo and M. Barolo (2009). Online maintenance of multivariate statistical soft sensors for quality monitoring in batch processes. Presented at the AIChE 2009 Annual Meeting, 8-13 Novembre 2009, Nashville, USA.
• Vernier, M., I.S. Kim, P. Lawrence and F. Bezzo (2009). Multiscale modelling of a typical industrial oxidation reactor for terephthalic acid production via a hybrid multizonal-CFD approach. Presented at the AIChE 2009 Annual Meeting, 8-13 Novembre 2009, Nashville, USA.
• Zamboni, A., F. Bezzo and N. Shah (2009). Spatially explicit static model for the strategic design of future bioethanol production systems. 2. Multiobjective environmental optimization. Energy Fuels, 23, 5134-5143.
• Zamboni, A., N. Shah and F. Bezzo (2009). Spatially explicit static model for the strategic design of future bioethanol production systems. 1. Cost minimization. Energy Fuels, 23, 5121-5133.
• Galvanin, F., M. Barolo, S. Macchietto and F. Bezzo (2009). On the optimal design of clinical tests for the identification of physiological models of type 1 diabetes mellitus. In: Computer-Aided Chemical Engineering 27, 10th International Symp. on Process Systems Engineering (R.M. Brito-Alves, C.A. Oller do Nascimento, E.C. Biscaia Jr., Eds.), Elsevier, Amsterdam (The Netherlands), 183-188.
• Piccolo, C., G. Lidén and F. Bezzo (2009). Effect of substrate specific area on lignocellulose enzymatic hydrolysis: An experimental and modeling investigation. In: Computer-Aided Chemical Engineering 27, 10th International Symp. on Process Systems Engineering (R.M. Brito-Alves, C.A. Oller do Nascimento, E.C. Biscaia Jr., Eds.), Elsevier, Amsterdam (The Netherlands), 1701-1706.
• Zamboni, A., F. Bezzo and N. Shah (2009). Supply chain optimization for bioethanol production system in Northern Italy: Environmentally conscious strategic design. In: Computer-Aided Chemical Engineering 27, 10th International Symp. on Process Systems Engineering (R.M. Brito-Alves, C.A. Oller do Nascimento, E.C. Biscaia Jr., Eds.), Elsevier, Amsterdam (The Netherlands), 2037-2042.
• Dal Mas, M., A. Zamboni and F. Bezzo (2009). Bioethanol production in Northern Italy: supply chain design and capacity planning under uncertainty. Presented at the 17th European Biomass Conference and Exhibition – From Reasearch to Industry and Markets, 29 June – 3 July, Hamburg, Germany.
• Zamboni, A., N. Shah and F. Bezzo (2009). Bioethanol production system in Northern Italy: Supply chain design and cost optimisation. In: Design for Energy and the Environment (M.M. El-Halwagi, A.A. Linninger, Eds.), CRC Press, Boca Raton FL (U.S.A.), 125-139.
• Galvanin, F., M. Barolo, F. Bezzo and S. Macchietto (2009). A backoff-based strategy to improve robustness in model-based experimental design under parametric uncertainty. In: Design for Energy and the Environment (M.M. El-Halwagi, A.A. Linninger, Eds.), CRC Press, Boca Raton FL (U.S.A.), 623-630.
• Galvanin, F., M. Barolo and F. Bezzo (2009). Online model-based re-design of experiments for parameter estimation in dynamic systems. Ind. Eng. Chem. Res., 48, 4415-4427.
• Facco, P., R. Mukherjee, F. Bezzo, M. Barolo and J.A. Romagnoli (2009). Monitoring roughness and edge shape on semiconductors through multiresolution and multivariate image analysis. AIChE J., 55, 1147-1160.
• Faggian, A., P. Facco, F. Doplicher, F. Bezzo and M. Barolo (2009). Multivariate statistical real-time monitoring of an industrial fed-batch process for the production of specialty chemicals. Chem. Eng. Res. Des., 87, 325-334.
• Facco, P., F. Doplicher, F. Bezzo and M. Barolo (2009). Moving-average PLS soft sensor for online product quality estimation in an industrial batch polymerization process. J. Process Cont., 19, 520-529.
• Galvanin, F., M. Barolo, S. Macchietto and F. Bezzo (2009). Optimal design of clinical tests for the identification of physiological models of type 1 diabetes mellitus. Ind. Eng. Chem. Res., 48, 1989-2002.
• Piccolo, C. and F. Bezzo (2009). A techno-economical comparison between two technologies for bioethanol production from lignocellulose. Biomass Bioenerg., 33, 478-491.

Year 2008

• Galvanin, F., M. Barolo and F. Bezzo (2008). Towards on-line model-based design of experiments. In: European Symposium on Computer Aided Process Engineering – 18 (B. Braunschweig and X. Joulia, Eds.), Elsevier, Amsterdam (The Netherlands), 349-354.
• Facco, P., A. Faggian, F. Doplicher, F. Bezzo and M. Barolo (2008). Virtual sensors can reduce lab analysis requirements in the industrial production of specialty chemicals. In: Proc. EMCC5 – 5th Chemical Engineering Conference for Collaborative Research in Eastern Mediterranean Countries, Cetraro (Italy), May 24-29, 178-181.
• Barolo, M., F. Bezzo and P. Facco (2008). Sensori virtuali per monitorare la qualità di prodotti e processi. ICP, XXXVI(4), 82-84.
• Franceschin, G., A. Zamboni, F. Bezzo and A. Bertucco (2008). Ethanol from corn: a technical and economic assessment based on different scenarios. Chem. Eng. Res. Des., 86, 488-498.
• Marchetti, G., M. Barolo, L. Jovanovič, H. Zisser and D. E. Seborg (2008). An improved PID switching control strategy for type 1 diabetes. IEEE Trans. Biomed. Eng., 55, 857-865.
• Marchetti, G., M. Barolo, L. Jovanovič, H. Zisser and D. E. Seborg (2008). A feedforward-feedback glucose control strategy for type 1 diabetes mellitus. J. Process Control, 18, 149-162.

Year 2007

• Bezzo, F. and A. Bertucco (2007). Aspetti Tecnico-Economici della Produzione di Bioetanolo e Prospettive Future, in Biocarburanti e Biocombustibili – Soluzioni, Tecnologie, Agevolazioni, IPSOA, Milano, 189-207.
• Franceschin, G., M. Sudiro, A. Zamboni, F. Bezzo, A. Bertucco (2007). Energy and economic assessment of bioethanol production by a dry milling process, In: AIDIC Conference Series, Vol.8, 141-150.
• Facco, P., M. Olivi, C. Rebuscini, F. Bezzo and M. Barolo (2007). Multivariate Statistical Estimation of Product Quality in the Industrial Batch Production of a Resin. Proc. DYCOPS 2007 – 8th IFAC Symposium on Dynamics and Control of Process Systems (B. Foss and J. Alvarez, Eds.), Cancun (Mexico), June 6-8, vol. 2, 93-98.
• Galvanin, F., S. Macchietto and F. Bezzo (2007). Model-based design of parallel experiments. Ind. Eng. Chem. Res., 46, 871-882.
• Infanti, R., M. Ostoich and F. Bezzo (2007). Caratterizzazione della Qualità delle Acque Superficiali tramite Tecniche di Analisi Multivariabile: Applicazione al Bacino Scolante in Laguna di Venezia, Ingegneria Ambientale, XXXVI (9), 457-470.
• Piccolo, C. and F. Bezzo (2007). Ethanol from lignocellulosic biomass: a comparison between conversion technologies, Computer-Aided Chemical Engineering 24, 17th European Symp. on Computer Aided Process Engineering (V. Plesu and P.S. Agachi, Eds.), Elsevier, Amsterdam, Paesi Bassi, 1277-1282.

Year 2006

• Galvanin, F., M. Barolo, F. Bezzo and S. Macchietto (2006). A Framework for Model-Based Design of Parallel Experiments in Dynamic Systems. In: European Symposium on Computer Aided Process Engineering – 16 (W. Marquardt and C. Pantelides, Eds.), Elsevier, Amsterdam (The Netherlands), 249-254.
• Marchetti, G., M. Barolo, L. Jovanovič, H. Zisser and D. E. Seborg (2006). Preprandial and Feedforward-Feedback Control Strategies Can Improve Postprandial Responses for Type 1 Diabetes. Presented at the Sixth Annual Diabetes Technology Meeting (Atlanta, GA, U.S.A.; November 2-4).
• Marchetti, G., M. Barolo, L. Jovanovič, H. Zisser and D. E. Seborg (2006). An Improved PID Switching Control Strategy for Type 1 Diabetes. Proc. 28th IEEE EMBS Annual Int. Conf., New York City (U.S.A.), Aug. 30-Sept. 3, 5041-5044.
• Muradore, R., F. Bezzo (2006). A framework for PLS-SIM integration. Proc. 14th IFAC Symposium on System Identification, SYSID-2006, Newcastle (Australia), 29-31 March 2006, 291-296.
• Muradore, R., F. Bezzo and M. Barolo (2006). Optimal Sensor Location for Distributed Sensor Systems using Multivariate Regression. Comput. Chem. Eng., 30, 521-534.

Year 2005

• Bezzo, F. and M. Barolo (2005). Understanding the Dynamic Behaviour of Middle-Vessel Continuous Distillation Columns. Chem. Eng. Sci., 60, 553-563.
• Bezzo, F., F. Micheletti, R. Muradore and M. Barolo (2005). Using MPC to Control Middle-Vessel Continuous Distillation Columns. J. Process Control, 15, 925-930.
• Bezzo, F., R. Muradore and M. Barolo (2005). Using Structured and Unstructured Estimators for Distillation Units: a Critical Comparison. In: European Symposium on Computer Aided Process Engineering – 15 (L. Puigjaner, Ed.), Elsevier, Amsterdam (The Netherlands), 1201-1206.
• Bezzo, F., S. Macchietto and C. C. Pantelides (2005). Computational issues in hybrid multizonal/computational fluid dynamics models. AIChE J., 51, 1169-1177.
• Muradore, R., F. Bezzo and M. Barolo (2005). Metodo Sequenziale per l’Allocazione Ottimale dei Sensori di Misura. Automaz. e Strumentaz., LIII(3), 97-103.
• Tronci, S., F. Bezzo, M. Barolo and R. Baratti (2005). Geometric Observer for a Distillation Column: Development and Experimental Testing. Ind. Eng. Chem. Res., 44, 9884-9893.
• Zamprogna, E., M. Barolo and D. E. Seborg (2005). Optimal Selection of Soft Sensor Inputs for Batch Distillation Columns using Principal Component Analysis. J. Process Control, 15, 39-52.