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Wang J, Dowling AW. Pyomo.
DOE
: An
Open‐Source
Package for
Model‐Based
Design of Experiments in Python. AIChE J 2022. [DOI: 10.1002/aic.17813] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Jialu Wang
- Department of Chemical and Biomolecular Engineering University of Notre Dame Notre Dame IN
| | - Alexander W. Dowling
- Department of Chemical and Biomolecular Engineering University of Notre Dame Notre Dame IN
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Deussen P, Galvanin F. A model-based experimental design approach to assess the identifiability of kinetic models of hydroxymethylfurfural hydrogenation in batch reaction systems. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2021.12.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Ouimet JA, Liu X, Brown DJ, Eugene EA, Popps T, Muetzel ZW, Dowling AW, Phillip WA. DATA: Diafiltration Apparatus for high-Throughput Analysis. J Memb Sci 2022. [DOI: 10.1016/j.memsci.2021.119743] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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Kusumo KP, Kuriyan K, Vaidyaraman S, Garcia-Munoz S, Shah N, Chachuat B. Probabilistic Framework for Optimal Experimental Campaigns in the Presence of Operational Constraints. REACT CHEM ENG 2022. [DOI: 10.1039/d1re00465d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The predictive capability of any mathematical model is intertwined with the quality of experimental data collected for its calibration. Model-based design of experiments helps compute maximally informative campaigns for model...
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Taylor CJ, Seki H, Dannheim FM, Willis MJ, Clemens G, Taylor BA, Chamberlain TW, Bourne RA. An automated computational approach to kinetic model discrimination and parameter estimation. REACT CHEM ENG 2021; 6:1404-1411. [PMID: 34354841 PMCID: PMC8315272 DOI: 10.1039/d1re00098e] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 05/07/2021] [Indexed: 01/15/2023]
Abstract
We herein report experimental applications of a novel, automated computational approach to chemical reaction network (CRN) identification. This report shows the first chemical applications of an autonomous tool to identify the kinetic model and parameters of a process, when considering both catalytic species and various integer and non-integer orders in the model's rate laws. This kinetic analysis methodology requires only the input of the species within the chemical system (starting materials, intermediates, products, etc.) and corresponding time-series concentration data to determine the kinetic information of the chemistry of interest. This is performed with minimal human interaction and several case studies were performed to show the wide scope and applicability of this process development tool. The approach described herein can be employed using experimental data from any source and the code for this methodology is also provided open-source. We herein report experimental applications of a novel, automated computational approach to chemical reaction network (CRN) identification.![]()
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Affiliation(s)
- Connor J Taylor
- Institute of Process Research and Development, School of Chemistry and School of Chemical and Process Engineering, University of Leeds Leeds LS2 9JT UK
| | - Hikaru Seki
- Department of Chemistry, University of Cambridge Cambridge CB2 1EW UK
| | | | - Mark J Willis
- School of Engineering, University of Newcastle Newcastle upon Tyne NE1 7RU UK
| | - Graeme Clemens
- Chemical Development, Pharmaceutical Technology & Development, Operations, AstraZeneca Macclesfield UK
| | - Brian A Taylor
- Chemical Development, Pharmaceutical Technology & Development, Operations, AstraZeneca Macclesfield UK
| | - Thomas W Chamberlain
- Institute of Process Research and Development, School of Chemistry and School of Chemical and Process Engineering, University of Leeds Leeds LS2 9JT UK
| | - Richard A Bourne
- Institute of Process Research and Development, School of Chemistry and School of Chemical and Process Engineering, University of Leeds Leeds LS2 9JT UK
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6
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Cao L, Russo D, Lapkin AA. Automated robotic platforms in design and development of formulations. AIChE J 2021. [DOI: 10.1002/aic.17248] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Liwei Cao
- Department of Chemical Engineering and Biotechnology University of Cambridge Cambridge UK
- Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd. Singapore
| | - Danilo Russo
- Department of Chemical Engineering and Biotechnology University of Cambridge Cambridge UK
| | - Alexei A. Lapkin
- Department of Chemical Engineering and Biotechnology University of Cambridge Cambridge UK
- Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd. Singapore
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Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones? Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2020.107218] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Sen M, Arguelles AJ, Stamatis SD, García-Muñoz S, Kolis S. An optimization-based model discrimination framework for selecting an appropriate reaction kinetic model structure during early phase pharmaceutical process development. REACT CHEM ENG 2021. [DOI: 10.1039/d1re00222h] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
A model discrimination workflow to develop fit for purpose kinetic models of new pharmaceutical compounds in early stages of drug development involving complex reaction networks with limited prior information and provision to run new experiments.
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Affiliation(s)
- Maitraye Sen
- Synthetic Molecule Design and Development, Lilly Research Laboratories, Eli Lilly & Company, 1400 West Raymond Street, Indianapolis, Indiana 46221, USA
| | - Alonso J. Arguelles
- Synthetic Molecule Design and Development, Lilly Research Laboratories, Eli Lilly & Company, 1400 West Raymond Street, Indianapolis, Indiana 46221, USA
| | - Stephen D. Stamatis
- Synthetic Molecule Design and Development, Lilly Research Laboratories, Eli Lilly & Company, 1400 West Raymond Street, Indianapolis, Indiana 46221, USA
| | - Salvador García-Muñoz
- Synthetic Molecule Design and Development, Lilly Research Laboratories, Eli Lilly & Company, 1400 West Raymond Street, Indianapolis, Indiana 46221, USA
| | - Stanley Kolis
- Synthetic Molecule Design and Development, Lilly Research Laboratories, Eli Lilly & Company, 1400 West Raymond Street, Indianapolis, Indiana 46221, USA
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Waldron C, Pankajakshan A, Quaglio M, Cao E, Galvanin F, Gavriilidis A. Closed-Loop Model-Based Design of Experiments for Kinetic Model Discrimination and Parameter Estimation: Benzoic Acid Esterification on a Heterogeneous Catalyst. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b04089] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Conor Waldron
- Department of Chemical Engineering, University College London, London WC1E 7JE, U.K
| | - Arun Pankajakshan
- Department of Chemical Engineering, University College London, London WC1E 7JE, U.K
| | - Marco Quaglio
- Department of Chemical Engineering, University College London, London WC1E 7JE, U.K
| | - Enhong Cao
- Department of Chemical Engineering, University College London, London WC1E 7JE, U.K
| | - Federico Galvanin
- Department of Chemical Engineering, University College London, London WC1E 7JE, U.K
| | - Asterios Gavriilidis
- Department of Chemical Engineering, University College London, London WC1E 7JE, U.K
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Quaglio M, Bezzo F, Gavriilidis A, Cao E, Al‐Rifai N, Galvanin F. Identification of kinetic models of methanol oxidation on silver in the presence of uncertain catalyst behavior. AIChE J 2019. [DOI: 10.1002/aic.16707] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Marco Quaglio
- Department of Chemical EngineeringUniversity College London (UCL) London UK
| | - Fabrizio Bezzo
- CAPE‐Lab (Computer‐Aided Process Engineering Laboratory), Department of Industrial EngineeringUniversity of Padova (UNIPD) Padova Italy
| | | | - Enhong Cao
- Department of Chemical EngineeringUniversity College London (UCL) London UK
| | - Noor Al‐Rifai
- Department of Chemical EngineeringUniversity College London (UCL) London UK
| | - Federico Galvanin
- Department of Chemical EngineeringUniversity College London (UCL) London UK
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Palmer KA, Bollas GM. Analysis of transient data in test designs for active fault detection and identification. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2018.06.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Waldron C, Pankajakshan A, Quaglio M, Cao E, Galvanin F, Gavriilidis A. An autonomous microreactor platform for the rapid identification of kinetic models. REACT CHEM ENG 2019. [DOI: 10.1039/c8re00345a] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Rapid estimation of kinetic parameters with high precision is facilitated by automation combined with online Model-Based Design of Experiments.
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Affiliation(s)
- Conor Waldron
- Dept of Chemical Engineering
- University College London
- London
- UK
| | | | - Marco Quaglio
- Dept of Chemical Engineering
- University College London
- London
- UK
| | - Enhong Cao
- Dept of Chemical Engineering
- University College London
- London
- UK
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Model-based design of experiments in the presence of structural model uncertainty: an extended information matrix approach. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.04.041] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Mitsos A, Asprion N, Floudas CA, Bortz M, Baldea M, Bonvin D, Caspari A, Schäfer P. Challenges in process optimization for new feedstocks and energy sources. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.03.013] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Forte E, von Harbou E, Burger J, Asprion N, Bortz M. Optimal Design of Laboratory and Pilot-Plant Experiments Using Multiobjective Optimization. CHEM-ING-TECH 2017. [DOI: 10.1002/cite.201600104] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Esther Forte
- University of Kaiserslautern; Laboratory of Engineering Thermodynamics; Erwin-Schrödinger-Straße 44 67663 Kaiserslautern Germany
| | - Erik von Harbou
- University of Kaiserslautern; Laboratory of Engineering Thermodynamics; Erwin-Schrödinger-Straße 44 67663 Kaiserslautern Germany
| | - Jakob Burger
- University of Kaiserslautern; Laboratory of Engineering Thermodynamics; Erwin-Schrödinger-Straße 44 67663 Kaiserslautern Germany
| | | | - Michael Bortz
- Fraunhofer Institute for Industrial Mathematics (ITWM); Fraunhofer-Platz 1 67663 Kaiserslautern Germany
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Barz T, López C. DC, Cruz Bournazou MN, Körkel S, Walter SF. Real-time adaptive input design for the determination of competitive adsorption isotherms in liquid chromatography. Comput Chem Eng 2016. [DOI: 10.1016/j.compchemeng.2016.07.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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