Automation Technologies to Enable Data-Rich Experimentation: Beyond Design of Experiments for Process Modeling in Late-Stage Process Development
暂无分享,去创建一个
[1] P. Sun,et al. High-Throughput Automated Design of Experiment (DoE) and Kinetic Modeling to Aid in Process Development of an API , 2017 .
[2] L. Evangelisti,et al. Online Stereochemical Process Monitoring by Molecular Rotational Resonance Spectroscopy , 2019, Organic Process Research & Development.
[4] G. K. Raju,et al. Understanding Pharmaceutical Quality by Design , 2014, The AAPS Journal.
[5] T. Itoh,et al. Highly efficient synthesis of HIV NNRTI doravirine. , 2015, Organic letters.
[6] Yachao Dong,et al. Optimization of pharmaceutical reactions using the dynamic response surface methodology , 2020, Comput. Chem. Eng..
[7] Jason E. Hein,et al. Automated reaction progress monitoring of heterogeneous reactions: crystallization-induced stereoselectivity in amine-catalyzed aldol reactions , 2017 .
[8] Shane T. Grosser,et al. Facile kinetic profiling of chemical reactions using MISER chromatographic analysis , 2017 .
[9] C. Papageorgiou,et al. Development and Scale-up of an Efficient Miyaura Borylation Process Using Tetrahydroxydiboron , 2017 .
[10] Bahar Inankur,et al. Palladium-Catalyzed Amidation and Amination of (Hetero)aryl Chlorides under Homogeneous Conditions Enabled by a Soluble DBU/NaTFA Dual-Base System , 2019, Organic Process Research & Development.
[11] Shane T. Grosser,et al. Stoichiometry identification of pharmaceutical reactions using the constrained dynamic response surface methodology , 2019, AIChE Journal.
[12] Jon A. Jurica,et al. Mechanistic Understanding of a Robust and Scalable Synthesis of Per(6-deoxy-6-halo)cyclodextrins, Versatile Intermediates for Cyclodextrin Modification , 2020 .
[13] D. A. Obenndip,et al. Towards an Information-Rich Process Development. Part I: Interfacing Experimentation with Qualitative/Semiquantitative Modelling , 2006 .
[14] Yachao Dong,et al. Constrained Version of the Dynamic Response Surface Methodology for Modeling Pharmaceutical Reactions , 2019, Industrial & Engineering Chemistry Research.
[15] Christopher J. Welch,et al. The Enabling Technologies Consortium (ETC): Fostering Precompetitive Collaborations on New Enabling Technologies for Pharmaceutical Research and Development , 2017 .
[16] P. Westerduin,et al. A Mechanistic Insight into a Simple C−N Bond Formation via SN2 Displacement: A Synergistic Kinetics and Design of Experiment Approach , 2010 .
[17] P. Mcgarry,et al. Concise synthesis of a selective α1-adrenoceptor antagonist , 2006 .
[18] G. L. Reid,et al. Online NMR and HPLC as a reaction monitoring platform for pharmaceutical process development. , 2013, Analytical chemistry.
[19] Michael Shevlin,et al. Practical High-Throughput Experimentation for Chemists , 2017, ACS medicinal chemistry letters.
[20] Shane T. Grosser,et al. Development of an automated kinetic profiling system with online HPLC for reaction optimization , 2019, Reaction Chemistry & Engineering.
[21] K. Leeman,et al. Palbociclib Commercial Manufacturing Process Development. Part I: Control of Regioselectivity in a Grignard-Mediated SNAr Coupling , 2016 .
[22] Brian A. Taylor,et al. Synthesis of 2-Oxopropanethioamide for the Manufacture of Lanabecestat: A New Route for Control, Robustness, and Operational Improvements , 2017 .
[23] Simon D. Yates,et al. Rapid route design of AZD7594 , 2019, Reaction Chemistry & Engineering.
[24] Fulya Akpinar,et al. Safe Scale-up of an Oxygen-Releasing Cleavage of Evans Oxazolidinone with Hydrogen Peroxide , 2020 .
[25] Bryan M. Li,et al. Kinetic and Data-Driven Reaction Analysis for Pharmaceutical Process Development , 2020, Industrial & Engineering Chemistry Research.
[26] Ling Li,et al. The Evolution of High-Throughput Experimentation in Pharmaceutical Development and Perspectives on the Future , 2019, Organic Process Research & Development.
[27] Jose E. Tabora,et al. Analysis of Design of Experiments with Dynamic Responses , 2015 .
[28] N. Pedge,et al. In situ Monitoring of a Heterogeneous Etherification Reaction Using Quantitative Raman Spectroscopy , 2015 .
[29] Nikolai Klebanov,et al. Dynamic Response Surface Models: A Data-Driven Approach for the Analysis of Time-Varying Process Outputs , 2016 .
[30] Kenji Shimizu,et al. Optimization of a Crystallization Process for Orantinib Active Pharmaceutical Ingredient by Design of Experiment To Control Residual Solvent Amount and Particle Size Distribution , 2015 .
[31] Jacob Janey,et al. Uniting laboratory automation, DoE data, and modeling techniques to accelerate chemical process development , 2019, Reaction Chemistry & Engineering.
[32] Robert T. Roginski,et al. The Role of New Technologies in Defining a Manufacturing Process for PPARα Agonist LY518674 , 2009 .
[33] Natalie S. Eyke,et al. Development and Scale-Up of a Continuous Reaction for Production of an Active Pharmaceutical Ingredient Intermediate , 2018, Organic Process Research & Development.
[34] Jason E. Hein,et al. Real-time HPLC-MS reaction progress monitoring using an automated analytical platform , 2017 .