M. Barolo

发表

Nonlinear Model-Based Startup and Operation Control of a Distillation Column : An Experimental Study

M. Barolo, 1994 .

A Feedforward-Feedback Glucose Control Strategy for Type 1 Diabetes Mellitus.

Howard C. Zisser, D. Seborg, M. Barolo, 2008, Journal of process control.

Linking Models and Experiments

M. Barolo, D. Dochain, C. Georgakis, 2016 .

Probabilistic Design space determination in pharmaceutical product development: A Bayesian/latent variable approach

M. Barolo, F. Bezzo, Gabriele Bano, 2018 .

Bracketing the Design Space within the Knowledge Space in Pharmaceutical Product Development

Filippo Dal Pastro, M. Barolo, F. Bezzo, 2015 .

Composition Control in Batch Distillation: Binary and Multicomponent Mixtures

M. Barolo, F. Berto, 1998 .

Estimating product composition profiles in batch distillation via partial least squares regression

D. Seborg, M. Barolo, Eliana Zamprogna, 2004 .

Use of near-infrared spectroscopy for fast fraud detection in seafood: application to the authentication of wild European sea bass (Dicentrarchus labrax).

Pierantonio Facco, Massimiliano Barolo, Matteo Perini, 2012, Journal of agricultural and food chemistry.

A Mechanistic Model to Quantify von Willebrand Factor Release, Survival and Proteolysis in Patients with von Willebrand Disease

M. Barolo, F. Bezzo, F. Galvanin, 2018, Thrombosis and Haemostasis.

Estimation of high-pressure fugacity coefficients of pure gaseous fluids by a modified SRK equation of state

M. Barolo, G. Soave, A. Bertucco, 1993 .

Foodstuff authentication from spectral data: Toward a species-independent discrimination between fresh and frozen–thawed fish samples

M. Barolo, L. Fasolato, Pierantonio Facco, 2013 .

Data-based multivariate modeling of a grain comminution process

Pierantonio Facco, Massimiliano Barolo, Fabrizio Bezzo, 2015 .

Estimation of Chemical Equilibria in High-Pressure Gaseous Systems by a Modified Redlich-Kwong-Soave Equation of State

M. Barolo, G. Soave, A. Bertucco, 1995 .

Latent variable modeling to assist the implementation of Quality-by-Design paradigms in pharmaceutical development and manufacturing: a review.

Pierantonio Facco, Massimiliano Barolo, Fabrizio Bezzo, 2013, International journal of pharmaceutics.

Artificial vision system for particle size characterization from bulk materials

M. Barolo, A. Santomaso, Pierantonio Facco, 2017 .

Optimal design of experiments for parameter identification in electrodialysis models

M. Barolo, F. Bezzo, F. Galvanin, 2016 .

Assessing the relative potency of (S)- and (R)-warfarin with a new PK-PD model, in relation to VKORC1 genotypes

M. Barolo, F. Bezzo, M. Ferrari, 2017, European Journal of Clinical Pharmacology.

A pharmacokinetic-pharmacodynamic model for individualisation of an oral anticoagulation therapy

M. Barolo, F. Bezzo, C. Zambon, 2016 .

A general model-based design of experiments approach to achieve practical identifiability of pharmacokinetic and pharmacodynamic models

Carlo C. Ballan, M. Barolo, F. Bezzo, 2013, Journal of Pharmacokinetics and Pharmacodynamics.

Optimal sensor location for distributed-sensor systems using multivariate regression

Riccardo Muradore, Massimiliano Barolo, Fabrizio Bezzo, 2006, Comput. Chem. Eng..

Optimization of the Appearance Quality in CO2 Processed Ready-to-Eat Carrots through Image Analysis

M. Barolo, A. Zambon, S. Spilimbergo, 2021, Foods.

Maintenance of Machine Vision Systems for Product Quality Assessment. Part I. Addressing Changes in Lighting Conditions

Massimiliano Barolo, Salvador García-Muñoz, Matteo Ottavian, 2013 .

Sharing Active Learning Practices to Improve Teaching: Peer Observation of Active Teaching in a School of Engineering

M. Barolo, S. Ghidoni, M. Fedeli, 2019, Connecting Adult Learning and Knowledge Management.

Identification of Physiological Models of Type 1 Diabetes Mellitus by Model-Based Design of Experiments

Massimiliano Barolo, Sandro Macchietto, Fabrizio Bezzo, 2011 .

A method for the prediction of vapour-liquid equilibria of refrigerant mixtures at low and moderate pressure

M. Barolo, A. Bertucco, G. Scalabrin, 1995 .

General Framework for Latent Variable Model Inversion for the Design and Manufacturing of New Products

Massimiliano Barolo, Salvador García-Muñoz, Emanuele Tomba, 2012 .

A review on the modernization of pharmaceutical development and manufacturing - Trends, perspectives, and the role of mathematical modeling.

M. Barolo, Francesco Destro, 2022, International journal of pharmaceutics.

A benchmark simulator for quality-by-design and quality-by-control studies in continuous pharmaceutical manufacturing ‒ Intensified filtration-drying of crystallization slurries

M. Barolo, Z. Nagy, Francesco Destro, 2022, Comput. Chem. Eng..

Near-infrared spectroscopy to assist authentication and labeling of Asiago d’allevo cheese

Pierantonio Facco, Massimiliano Barolo, Stefania Balzan, 2012 .

Powder composition monitoring in continuous solid-dosage form manufacturing using state estimation - Proof of concept.

M. Barolo, F. Bezzo, Salvador García Muñoz, 2021, International journal of pharmaceutics.

A hybrid framework for process monitoring: Enhancing data-driven methodologies with state and parameter estimation

Pierantonio Facco, Massimiliano Barolo, Fabrizio Bezzo, 2020 .

Data-driven modeling of milling and sieving operations in a wheat milling process

Pierantonio Facco, Massimiliano Barolo, Fabrizio Bezzo, 2016 .

Streamlining tablet lubrication design via model-based design of experiments.

M. Barolo, S. Zomer, F. Bezzo, 2021, International journal of pharmaceutics.

Primary Drying Optimization in Pharmaceutical Freeze-Drying: A Multivial Stochastic Modeling Framework

M. Barolo, F. Bezzo, Gabriele Bano, 2020 .

A framework for model-based design of parallel experiments in dynamic systems

Massimiliano Barolo, Sandro Macchietto, Fabrizio Bezzo, 2006 .

Moving average PLS soft sensor for online product quality estimation in an industrial batch polymerization process

Pierantonio Facco, Massimiliano Barolo, Fabrizio Bezzo, 2009 .

Multispectral data classification using similarity factors

Pierantonio Facco, Massimiliano Barolo, Matteo Ottavian, 2012 .

Backstepping Methodology to Troubleshoot Plant-Wide Batch Processes in Data-Rich Industrial Environments

Pierantonio Facco, Massimiliano Barolo, Fabrizio Bezzo, 2021, Processes.

Data analytics on raw material properties to accelerate pharmaceutical drug development

Pierantonio Facco, Massimiliano Barolo, Simeone Zomer, 2019, International journal of pharmaceutics.

Optimal selection of soft sensor inputs for batch distillation columns using principal component analysis

Dale E. Seborg, Massimiliano Barolo, Eliana Zamprogna, 2005 .

Design space maintenance by online model adaptation in pharmaceutical manufacturing

Marianthi G. Ierapetritou, Pierantonio Facco, Massimiliano Barolo, 2019, Comput. Chem. Eng..

Nearest-Neighbor Method for the Automatic Maintenance of Multivariate Statistical Soft Sensors in Batch Processing

Pierantonio Facco, Massimiliano Barolo, Fabrizio Bezzo, 2010 .

Accelerating the Development and Transfer of Freeze-Drying Operations for the Manufacturing of Biopharmaceuticals by Model-Based Design of Experiments

M. Barolo, F. Bezzo, Gabriele Bano, 2020 .

An Improved PID Switching Control Strategy for Type 1 Diabetes

Dale E. Seborg, Massimiliano Barolo, Howard C. Zisser, 2008, IEEE Transactions on Biomedical Engineering.

A general procedure for the evaluation of the prediction fidelity of pharmaceutical systems models

M. Barolo, F. Bezzo, Gabriele Bano, 2023, Chemical Engineering Science.

Optimal design of clinical tests for the identification of physiological models of type 1 diabetes in the presence of model mismatch

Massimiliano Barolo, Sandro Macchietto, Fabrizio Bezzo, 2011, Medical & Biological Engineering & Computing.

Integrating metabolome dynamics and process data to guide cell line selection in biopharmaceutical process development.

M. Barolo, F. Bezzo, G. Finka, 2022, Metabolic engineering.

Transfer of a nanoparticle product between different mixers using latent variable model inversion

Pierantonio Facco, Massimiliano Barolo, Antonello Barresi, 2014 .

Uncertainty back-propagation in PLS model inversion for design space determination in pharmaceutical product development

Pierantonio Facco, Massimiliano Barolo, Fabrizio Bezzo, 2017, Comput. Chem. Eng..

Bacterial inactivation on solid food matrices through supercritical CO2: A correlative study

M. Barolo, F. Bezzo, S. Spilimbergo, 2014 .

Automatic characterization of nanofiber assemblies by image texture analysis

Pierantonio Facco, Massimiliano Barolo, Fabrizio Bezzo, 2010 .

Improved blood glucose control for critically ill subjects

Dale E. Seborg, Massimiliano Barolo, Eyal Dassau, 2011 .

Using data analytics to accelerate biopharmaceutical process scale-up

Pierantonio Facco, Massimiliano Barolo, Fabrizio Bezzo, 2020 .

Model-based approach to the design and scale-up of wheat milling operations — Proof of concept

Pierantonio Facco, Massimiliano Barolo, Fabrizio Bezzo, 2017 .

Model-Based Design of Experiments in the Presence of Continuous Measurement Systems

Massimiliano Barolo, Fabrizio Bezzo, Federico Galvanin, 2011 .

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

M. Barolo, F. Bezzo, G. Finka, 2021, IFAC-PapersOnLine.

A Model‐Based Protocol for the Diagnosis of von Willebrand Disease

Massimiliano Barolo, Fabrizio Bezzo, Federico Galvanin, 2018 .

A model-based approach to the automatic diagnosis of von Willebrand disease

Massimiliano Barolo, Fabrizio Bezzo, Federico Galvanin, 2014 .

Microalgae growth optimization in open ponds with uncertain weather data

Massimiliano Barolo, Fabrizio Bezzo, Riccardo De Luca, 2018, Comput. Chem. Eng..

On the Effectiveness of Heat-Exchanger Bypass Control

Massimiliano Barolo, Nicolò Soave, M. Barolo, 2021, Processes.

Adaptive blood glucose control for intensive care applications

Dale E. Seborg, Massimiliano Barolo, Eyal Dassau, 2013, Comput. Methods Programs Biomed..

Using MPC to control middle-vessel continuous distillation columns

Massimiliano Barolo, Fabrizio Bezzo, Riccardo Muradore, 2005 .

Thermodynamic consistency of vapor‐liquid equilibrium data at high pressure

Nicola Elvassore, Massimiliano Barolo, Alberto Bertucco, 1997 .

DEVELOPMENT OF A SOFT SENSOR FOR A BATCH DISTILLATION COLUMN USING LINEAR AND NONLINEAR PLS REGRESSION TECHNIQUES

Dale E. Seborg, Massimiliano Barolo, Eliana Zamprogna, 2002 .

Continuous integrated filtration, washing and drying of aspirin: digital design of a novel intensified unit

Massimiliano Barolo, Zoltan K. Nagy, Alastair Barton, 2021, IFAC-PapersOnLine.

General procedure to aid the development of continuous pharmaceutical processes using multivariate statistical modeling - an industrial case study.

John Robertson, Pierantonio Facco, Massimiliano Barolo, 2013, International journal of pharmaceutics.

Adaptive control of an experimental distillation column by relay methods

Massimiliano Barolo, P. Marietti, Claudio Scali, 2001 .

Multivariate Image and Texture Analysis to Investigate the Erosion Mechanism of Film-coated Tablets: An Industrial Case Study

M. Barolo, S. García-Muñoz, Matteo Ottavian, 2014, Journal of Pharmaceutical Innovation.

A novel and systematic approach to identify the design space of pharmaceutical processes

Pierantonio Facco, Massimiliano Barolo, Fabrizio Bezzo, 2018, Comput. Chem. Eng..

Running Batch Distillation in a Column with a Middle Vessel

Massimiliano Barolo, Sandro Macchietto, Sergio A. Rienzi, 1996 .

A Methodology to Diagnose Process/Model Mismatch in First-Principles Models

Pierantonio Facco, Massimiliano Barolo, Fabrizio Bezzo, 2014 .

Understanding the dynamics of a batch distillation column with a middle vessel

Massimiliano Barolo, Gian Berto Guarise, Sergio A. Rienzi, 1998 .

Some issues in the design and operation of a batch distillation column with a middle vessel

Massimiliano Barolo, Sandro Macchietto, Sergio A. Rienzi, 1996 .

Neural-network approach to dynamic optimization of batch distillation: Application to a middle-vessel column

Iqbal M. Mujtaba, Mohd Azlan Hussain, Massimiliano Barolo, 2003 .

The 2016 GRICU Congress Special Issue Section

M. Barolo, G. Montante, 2017 .

Composition estimations in a middle-vessel batch distillation column using artificial neural networks

Dale E. Seborg, Massimiliano Barolo, Eliana Zamprogna, 2001 .