1
|
Tom G, Schmid SP, Baird SG, Cao Y, Darvish K, Hao H, Lo S, Pablo-García S, Rajaonson EM, Skreta M, Yoshikawa N, Corapi S, Akkoc GD, Strieth-Kalthoff F, Seifrid M, Aspuru-Guzik A. Self-Driving Laboratories for Chemistry and Materials Science. Chem Rev 2024. [PMID: 39137296 DOI: 10.1021/acs.chemrev.4c00055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2024]
Abstract
Self-driving laboratories (SDLs) promise an accelerated application of the scientific method. Through the automation of experimental workflows, along with autonomous experimental planning, SDLs hold the potential to greatly accelerate research in chemistry and materials discovery. This review provides an in-depth analysis of the state-of-the-art in SDL technology, its applications across various scientific disciplines, and the potential implications for research and industry. This review additionally provides an overview of the enabling technologies for SDLs, including their hardware, software, and integration with laboratory infrastructure. Most importantly, this review explores the diverse range of scientific domains where SDLs have made significant contributions, from drug discovery and materials science to genomics and chemistry. We provide a comprehensive review of existing real-world examples of SDLs, their different levels of automation, and the challenges and limitations associated with each domain.
Collapse
Affiliation(s)
- Gary Tom
- Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
- Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, Canada
- Vector Institute for Artificial Intelligence, 661 University Ave Suite 710, Toronto, Ontario M5G 1M1, Canada
| | - Stefan P Schmid
- Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, CH-8093 Zurich, Switzerland
| | - Sterling G Baird
- Acceleration Consortium, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
| | - Yang Cao
- Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
- Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, Canada
- Acceleration Consortium, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
| | - Kourosh Darvish
- Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, Canada
- Vector Institute for Artificial Intelligence, 661 University Ave Suite 710, Toronto, Ontario M5G 1M1, Canada
- Acceleration Consortium, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
| | - Han Hao
- Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
- Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, Canada
- Acceleration Consortium, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
| | - Stanley Lo
- Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
| | - Sergio Pablo-García
- Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
- Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, Canada
| | - Ella M Rajaonson
- Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
- Vector Institute for Artificial Intelligence, 661 University Ave Suite 710, Toronto, Ontario M5G 1M1, Canada
| | - Marta Skreta
- Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, Canada
- Vector Institute for Artificial Intelligence, 661 University Ave Suite 710, Toronto, Ontario M5G 1M1, Canada
| | - Naruki Yoshikawa
- Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, Canada
- Vector Institute for Artificial Intelligence, 661 University Ave Suite 710, Toronto, Ontario M5G 1M1, Canada
| | - Samantha Corapi
- Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
| | - Gun Deniz Akkoc
- Forschungszentrum Jülich GmbH, Helmholtz Institute for Renewable Energy Erlangen-Nürnberg, Cauerstr. 1, 91058 Erlangen, Germany
- Department of Chemical and Biological Engineering, Friedrich-Alexander Universität Erlangen-Nürnberg, Egerlandstr. 3, 91058 Erlangen, Germany
| | - Felix Strieth-Kalthoff
- Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
- Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, Canada
- School of Mathematics and Natural Sciences, University of Wuppertal, Gaußstraße 20, 42119 Wuppertal, Germany
| | - Martin Seifrid
- Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
- Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, Canada
- Department of Materials Science and Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States of America
| | - Alán Aspuru-Guzik
- Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
- Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, Canada
- Vector Institute for Artificial Intelligence, 661 University Ave Suite 710, Toronto, Ontario M5G 1M1, Canada
- Acceleration Consortium, 80 St. George St, Toronto, Ontario M5S 3H6, Canada
- Department of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, Ontario M5S 3E5, Canada
- Department of Materials Science & Engineering, University of Toronto, Toronto, Ontario M5S 3E4, Canada
- Lebovic Fellow, Canadian Institute for Advanced Research (CIFAR), 661 University Ave, Toronto, Ontario M5G 1M1, Canada
| |
Collapse
|
2
|
Hickman RJ, Bannigan P, Bao Z, Aspuru-Guzik A, Allen C. Self-driving laboratories: A paradigm shift in nanomedicine development. MATTER 2023; 6:1071-1081. [PMID: 37020832 PMCID: PMC9993483 DOI: 10.1016/j.matt.2023.02.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Nanomedicines have transformed promising therapeutic agents into clinically approved medicines with optimal safety and efficacy profiles. This is exemplified by the mRNA vaccines against COVID-19, which were made possible by lipid nanoparticle technology. Despite the success of nanomedicines to date, their design remains far from trivial, in part due to the complexity associated with their preclinical development. Herein, we propose a nanomedicine materials acceleration platform (NanoMAP) to streamline the preclinical development of these formulations. NanoMAP combines high-throughput experimentation with state-of-the-art advances in artificial intelligence (including active learning and few-shot learning) as well as a web-based application for data sharing. The deployment of NanoMAP requires interdisciplinary collaboration between leading figures in drug delivery and artificial intelligence to enable this data-driven design approach. The proposed approach will not only expedite the development of next-generation nanomedicines but also encourage participation of the pharmaceutical science community in a large data curation initiative.
Collapse
Affiliation(s)
- Riley J Hickman
- Department of Chemistry, University of Toronto, Toronto, ON M5S 3H6, Canada
- Department of Computer Science, University of Toronto, Toronto, ON M5S 2E4, Canada
- Vector Institute for Artificial Intelligence, Toronto, ON M5S 1M1, Canada
| | - Pauric Bannigan
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON M5S 3M2, Canada
| | - Zeqing Bao
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON M5S 3M2, Canada
| | - Alán Aspuru-Guzik
- Department of Chemistry, University of Toronto, Toronto, ON M5S 3H6, Canada
- Department of Computer Science, University of Toronto, Toronto, ON M5S 2E4, Canada
- Vector Institute for Artificial Intelligence, Toronto, ON M5S 1M1, Canada
- Lebovic Fellow, Canadian Institute for Advanced Research (CIFAR), Toronto, ON M5S 1M1, Canada
- Department of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, ON M5S 3E5, Canada
- Department of Materials Science & Engineering, University of Toronto, Toronto, ON M5S 3E4, Canada
- CIFAR Artificial Intelligence Research Chair, Vector Institute, Toronto, ON M5S 1M1, Canada
| | - Christine Allen
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON M5S 3M2, Canada
| |
Collapse
|
3
|
Abstract
How do you get into flow? We trained in flow chemistry during postdoctoral research and are now applying it in new areas: materials chemistry, crystallization, and supramolecular synthesis. Typically, when researchers think of "flow", they are considering predominantly liquid-based organic synthesis; application to other disciplines comes with its own challenges. In this Perspective, we highlight why we use and champion flow technologies in our fields, summarize some of the questions we encounter when discussing entry into flow research, and suggest steps to make the transition into the field, emphasizing that communication and collaboration between disciplines is key.
Collapse
Affiliation(s)
- Andrea Laybourn
- Faculty
of Engineering, University of Nottingham, University Park Campus, Nottingham NG7 2RD, U.K.,
| | - Karen Robertson
- Faculty
of Engineering, University of Nottingham, University Park Campus, Nottingham NG7 2RD, U.K.,
| | - Anna G. Slater
- Department
of Chemistry and Materials Innovation Factory, University of Liverpool, Crown Street, Liverpool L69 7ZD, U.K.,
| |
Collapse
|
4
|
Fath V, Lau P, Greve C, Weller P, Kockmann N, Röder T. Simultaneous self-optimisation of yield and purity through successive combination of inline FT-IR spectroscopy and online mass spectrometry in flow reactions. J Flow Chem 2021. [DOI: 10.1007/s41981-021-00140-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
AbstractSelf-optimisation constitutes a very helpful tool for chemical process development, both in lab and in industrial applications. However, research on the application of model-free autonomous optimisation strategies (based on experimental investigation) for complex reactions of high industrial significance, which involve considerable intermediate and by-product formation, is still in an early stage. This article describes the development of an enhanced autonomous microfluidic reactor platform for organolithium and epoxide reactions that incorporates a successive combination of inline FT-IR spectrometer and online mass spectrometer. Experimental data is collected in real-time and used as feedback for the optimisation algorithms (modified Simplex algorithm and Design of Experiments) without time delay. An efficient approach to handle intricate optimisation problems is presented, where the inline FT-IR measurements are used to monitor the reaction’s main components, whereas the mass spectrometer’s high sensitivity permits insights into the formation of by-products. To demonstrate the platform’s flexibility, optimal reaction conditions of two organic syntheses are identified. Both pose several challenges, as complex reaction mechanisms are involved, leading to a large number of variable parameters, and a considerable amount of by-products is generated under non-ideal process conditions. Through multidimensional real-time optimisation, the platform supersedes labor- and cost-intensive work-up procedures, while diminishing waste generation, too. Thus, it renders production processes more efficient and contributes to their overall sustainability.
Graphical abstract
Collapse
|
5
|
Self-Driving Laboratories for Development of New Functional Materials and Optimizing Known Reactions. NANOMATERIALS 2021; 11:nano11030619. [PMID: 33801472 PMCID: PMC8000792 DOI: 10.3390/nano11030619] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 02/25/2021] [Accepted: 02/25/2021] [Indexed: 12/17/2022]
Abstract
Innovations often play an essential role in the acceleration of the new functional materials discovery. The success and applicability of the synthesis results with new chemical compounds and materials largely depend on the previous experience of the researcher himself and the modernity of the equipment used in the laboratory. Artificial intelligence (AI) technologies are the next step in developing the solution for practical problems in science, including the development of new materials. Those technologies go broadly beyond the borders of a computer science branch and give new insights and practical possibilities within the far areas of expertise and chemistry applications. One of the attractive challenges is an automated new functional material synthesis driven by AI. However, while having many years of hands-on experience, chemistry specialists have a vague picture of AI. To strengthen and underline AI's role in materials discovery, a short introduction is given to the essential technologies, and the machine learning process is explained. After this review, this review summarizes the recent studies of new strategies that help automate and accelerate the development of new functional materials. Moreover, automatized laboratories' self-driving cycle could benefit from using AI algorithms to optimize new functional nanomaterials' synthetic routes. Despite the fact that such technologies will shape material science in the nearest future, we note the intelligent use of algorithms and automation is required for novel discoveries.
Collapse
|
6
|
Coley CW, Eyke NS, Jensen KF. Autonomous Discovery in the Chemical Sciences Part I: Progress. Angew Chem Int Ed Engl 2020; 59:22858-22893. [DOI: 10.1002/anie.201909987] [Citation(s) in RCA: 100] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Indexed: 01/05/2023]
Affiliation(s)
- Connor W. Coley
- Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA
| | - Natalie S. Eyke
- Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA
| | - Klavs F. Jensen
- Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA
| |
Collapse
|
7
|
Coley CW, Eyke NS, Jensen KF. Autonome Entdeckung in den chemischen Wissenschaften, Teil I: Fortschritt. Angew Chem Int Ed Engl 2020. [DOI: 10.1002/ange.201909987] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Connor W. Coley
- Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA
| | - Natalie S. Eyke
- Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA
| | - Klavs F. Jensen
- Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA
| |
Collapse
|
8
|
Fitzpatrick DE, O'Brien M, Ley SV. A tutored discourse on microcontrollers, single board computers and their applications to monitor and control chemical reactions. REACT CHEM ENG 2020. [DOI: 10.1039/c9re00407f] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
This Tutored Discourse constitutes a preliminary exposure on how synthesis chemists can engage positively with inexpensive, low-power microcontrollers to aid control, monitoring and optimisation of chemical reactions.
Collapse
Affiliation(s)
| | - Matthew O'Brien
- Department of Chemistry
- Keele University
- Staffordshire ST5 5BG
- UK
| | - Steven V. Ley
- Department of Chemistry
- University of Cambridge
- Cambridge CB2 1EW
- UK
| |
Collapse
|
9
|
Fath V, Kockmann N, Otto J, Röder T. Self-optimising processes and real-time-optimisation of organic syntheses in a microreactor system using Nelder–Mead and design of experiments. REACT CHEM ENG 2020. [DOI: 10.1039/d0re00081g] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Comparing an enhanced simplex algorithm with model-free design of experiments, this work presents a flexible platform for multi-objective, real-time optimisation.
Collapse
Affiliation(s)
- Verena Fath
- Department of Biochemical and Chemical Engineering
- Equipment Design
- TU Dortmund University
- 44227 Dortmund
- Germany
| | - Norbert Kockmann
- Department of Biochemical and Chemical Engineering
- Equipment Design
- TU Dortmund University
- 44227 Dortmund
- Germany
| | - Jürgen Otto
- Institute for Applied Thermo- and Fluid Dynamics
- Mannheim University of Applied Sciences
- 68163 Mannheim
- Germany
| | - Thorsten Röder
- Institute of Chemical Process Engineering
- Mannheim University of Applied Sciences
- 68163 Mannheim
- Germany
| |
Collapse
|
10
|
Aka EC, Wimmer E, Barré E, Vasudevan N, Cortés-Borda D, Ekou T, Ekou L, Rodriguez-Zubiri M, Felpin FX. Reconfigurable Flow Platform for Automated Reagent Screening and Autonomous Optimization for Bioinspired Lignans Synthesis. J Org Chem 2019; 84:14101-14112. [PMID: 31568728 DOI: 10.1021/acs.joc.9b02263] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Naturally occurring benzoxanthenones, which belong to the vast family of lignans, are promising biologically relevant targets. They are biosynthetically produced by the oxidative dimerization of 2-propenyl phenols. In this manuscript, we disclose a powerful automated flow-based strategy for identifying and optimizing a cobalt-catalyzed oxidizing system for the bioinspired dimerization of 2-propenyl phenols. We designed a reconfigurable flow reactor associating online monitoring and process control instrumentation. Our machine was first configured as an automated screening platform to evaluate a matrix of 4 catalysts (plus the blank) and 5 oxidants (plus the blank) at two different temperatures, resulting in an array of 50 reactions. The automated screening was conducted on micromole scale at a rate of one fully characterized reaction every 26 min. After having identified the most promising cobalt-catalyzed oxidizing system, the automated screening platform was straightforwardly reconfigured to an autonomous self-optimizing flow reactor by implementation of an optimization algorithm in the closed-loop system. The optimization campaign allowed the determination of very effective experimental conditions in a limited number of experiments, which allowed us to prepare the natural products carpanone and polemannone B as well as synthetic analogues.
Collapse
Affiliation(s)
- Ehu Camille Aka
- Université de Nantes , CEISAM, CNRS UMR 6230 , 2 rue de la Houssinière , 44322 Cedex 3 Nantes , France
| | - Eric Wimmer
- Université de Nantes , CEISAM, CNRS UMR 6230 , 2 rue de la Houssinière , 44322 Cedex 3 Nantes , France
| | - Elvina Barré
- Université de Nantes , CEISAM, CNRS UMR 6230 , 2 rue de la Houssinière , 44322 Cedex 3 Nantes , France
| | - Natarajan Vasudevan
- Université de Nantes , CEISAM, CNRS UMR 6230 , 2 rue de la Houssinière , 44322 Cedex 3 Nantes , France
| | - Daniel Cortés-Borda
- Université de Nantes , CEISAM, CNRS UMR 6230 , 2 rue de la Houssinière , 44322 Cedex 3 Nantes , France
| | - Tchirioua Ekou
- Université Nangui Abrogoua , Laboratoire de Thermodynamique et de Physico-Chimie du Milieu , 02 BP 801 Abidjan 02 , Côte d'Ivoire
| | - Lynda Ekou
- Université Nangui Abrogoua , Laboratoire de Thermodynamique et de Physico-Chimie du Milieu , 02 BP 801 Abidjan 02 , Côte d'Ivoire
| | - Mireia Rodriguez-Zubiri
- Université de Nantes , CEISAM, CNRS UMR 6230 , 2 rue de la Houssinière , 44322 Cedex 3 Nantes , France
| | - François-Xavier Felpin
- Université de Nantes , CEISAM, CNRS UMR 6230 , 2 rue de la Houssinière , 44322 Cedex 3 Nantes , France
| |
Collapse
|
11
|
Häse F, Roch LM, Aspuru-Guzik A. Next-Generation Experimentation with Self-Driving Laboratories. TRENDS IN CHEMISTRY 2019. [DOI: 10.1016/j.trechm.2019.02.007] [Citation(s) in RCA: 114] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
12
|
Quaglio M, Waldron C, Pankajakshan A, Cao E, Gavriilidis A, Fraga ES, Galvanin F. An online reparametrisation approach for robust parameter estimation in automated model identification platforms. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.01.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
|
13
|
Baumann M. Integrating continuous flow synthesis with in-line analysis and data generation. Org Biomol Chem 2019; 16:5946-5954. [PMID: 30062354 DOI: 10.1039/c8ob01437j] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Continuous flow synthesis of fine chemicals has successfully advanced from an academic niche area to a rapidly growing field of its own that directly impacts developments and applications in industrial settings. Whilst the numerous advantages of flow over batch processing are widely recognised and have led to a wider uptake of continuous flow synthesis within the community, we have reached a point where continuous flow synthesis has to transition from a stand-alone enabling technology to a readily integrated synthesis concept. Thus it is paramount to embrace a multitude of in-line analysis and purification techniques to not only allow for efficiently telescoped multi-step sequences but ultimately generate bioactivity data concomitantly on newly synthesised entities. This short review summarises the state of the art in this field and presents both challenges and opportunities that arise from this ambitious endeavour.
Collapse
Affiliation(s)
- Marcus Baumann
- School of Chemistry, University College Dublin, Science Centre South, Belfield, Dublin 4, Ireland.
| |
Collapse
|
14
|
Bedermann AA, McTeague TA, Jamison TF. Automated On-Demand Titration of Organometallic Reagents in Continuous Flow. Org Process Res Dev 2019. [DOI: 10.1021/acs.oprd.8b00434] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Aaron A. Bedermann
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - T. Andrew McTeague
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Timothy F. Jamison
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| |
Collapse
|
15
|
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.
Collapse
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
| | | | | |
Collapse
|
16
|
Fabry DC, Heddrich S, Sugiono E, Liauw MA, Rueping M. Adaptive and automated system-optimization for heterogeneous flow-hydrogenation reactions. REACT CHEM ENG 2019. [DOI: 10.1039/c9re00032a] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The autonomous hydrogenation of carbonyl compounds and N-heterocycles over solid catalysts with H2 is achieved in 3D parameter space by integrating analytics, control and hardware.
Collapse
Affiliation(s)
- David C. Fabry
- Institute of Organic Chemistry
- RWTH Aachen University
- Aachen D-52074
- Germany
| | - Steffen Heddrich
- Institute of Technical and Macromolecular Chemistry
- RWTH Aachen University
- 52074 Aachen
- Germany
| | - Erli Sugiono
- Institute of Organic Chemistry
- RWTH Aachen University
- Aachen D-52074
- Germany
| | - Marcel A. Liauw
- Institute of Technical and Macromolecular Chemistry
- RWTH Aachen University
- 52074 Aachen
- Germany
| | - Magnus Rueping
- Institute of Organic Chemistry
- RWTH Aachen University
- Aachen D-52074
- Germany
- KAUST Catalysis Center (KCC)
| |
Collapse
|
17
|
Fitzpatrick DE, Maujean T, Evans AC, Ley SV. Across‐the‐World Automated Optimization and Continuous‐Flow Synthesis of Pharmaceutical Agents Operating Through a Cloud‐Based Server. Angew Chem Int Ed Engl 2018. [DOI: 10.1002/ange.201809080] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
| | - Timothé Maujean
- Département de ChimieEcole Normale Supérieure Paris Saclay 94235 Cachan Cedex France
| | - Amanda C. Evans
- Department of Chemistry & BiochemistryCalifornia State University Fullerton 800 N. State College Blvd. Fullerton CA 92831 USA
| | - Steven V. Ley
- Department of ChemistryUniversity of Cambridge Lensfield Road Cambridge UK
| |
Collapse
|
18
|
Fitzpatrick DE, Maujean T, Evans AC, Ley SV. Across-the-World Automated Optimization and Continuous-Flow Synthesis of Pharmaceutical Agents Operating Through a Cloud-Based Server. Angew Chem Int Ed Engl 2018; 57:15128-15132. [PMID: 30272384 PMCID: PMC6391944 DOI: 10.1002/anie.201809080] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Indexed: 11/08/2022]
Abstract
The power of the Cloud has been harnessed for pharmaceutical compound production with remote servers based in Tokyo, Japan being left to autonomously find optimal synthesis conditions for three active pharmaceutical ingredients (APIs) in laboratories in Cambridge, UK. A researcher located in Los Angeles, USA controlled the entire process via an internet connection. The constituent synthetic steps for Tramadol, Lidocaine, and Bupropion were thus optimized with minimal intervention from operators within hours, yielding conditions satisfying customizable evaluation functions for all examples.
Collapse
Affiliation(s)
| | - Timothé Maujean
- Département de Chimie, Ecole Normale Supérieure Paris Saclay, 94235, Cachan Cedex, France
| | - Amanda C Evans
- Department of Chemistry & Biochemistry, California State University Fullerton, 800 N. State College Blvd., Fullerton, CA, 92831, USA
| | - Steven V Ley
- Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK
| |
Collapse
|
19
|
Cortés-Borda D, Wimmer E, Gouilleux B, Barré E, Oger N, Goulamaly L, Peault L, Charrier B, Truchet C, Giraudeau P, Rodriguez-Zubiri M, Le Grognec E, Felpin FX. An Autonomous Self-Optimizing Flow Reactor for the Synthesis of Natural Product Carpanone. J Org Chem 2018; 83:14286-14299. [DOI: 10.1021/acs.joc.8b01821] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Daniel Cortés-Borda
- Université de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Eric Wimmer
- Université de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Boris Gouilleux
- Université de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Elvina Barré
- Université de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Nicolas Oger
- Université de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Lubna Goulamaly
- Université de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Louis Peault
- Université de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Benoît Charrier
- Université de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Charlotte Truchet
- Université de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6241, LINA, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Patrick Giraudeau
- Université de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
- Institut Universitaire de France, 1 rue Descartes, 75231 Paris Cedex 05, France
| | - Mireia Rodriguez-Zubiri
- Université de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Erwan Le Grognec
- Université de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - François-Xavier Felpin
- Université de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
- Institut Universitaire de France, 1 rue Descartes, 75231 Paris Cedex 05, France
| |
Collapse
|
20
|
Schotten C, Howard JL, Jenkins RL, Codina A, Browne DL. A continuous flow-batch hybrid reactor for commodity chemical synthesis enabled by inline NMR and temperature monitoring. Tetrahedron 2018. [DOI: 10.1016/j.tet.2018.05.070] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
|
21
|
Hock KJ, Koenigs RM. The Generation of Diazo Compounds in Continuous-Flow. Chemistry 2018; 24:10571-10583. [PMID: 29575129 DOI: 10.1002/chem.201800136] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Revised: 03/13/2018] [Indexed: 01/19/2023]
Abstract
Toxic, cancerogenic and explosive-these attributes are typically associated with diazo compounds. Nonetheless, diazo compounds are nowadays a highly demanded class of reagents for organic synthesis, yet the concerns with regards to safe and scalable transformations of these compounds are still exceptionally high. Lately, the research area of the continuous-flow synthesis of diazo compounds attracted significant interest and a whole variety of protocols for their "on-demand" preparation have been realized to date. This concept article focuses on the recent developments using continuous-flow technologies to access diazo compounds; thus minimizing risks and hazards when working with this particular class of compounds. In this article we discuss these concepts and highlight different pre-requisites to access and to perform downstream functionalization reaction.
Collapse
Affiliation(s)
- Katharina J Hock
- Institute of Organic Chemistry, RWTH Aachen University, Landoltweg 1, 52074, Aachen, Germany
| | - Rene M Koenigs
- Institute of Organic Chemistry, RWTH Aachen University, Landoltweg 1, 52074, Aachen, Germany
| |
Collapse
|
22
|
Poscharny K, Fabry D, Heddrich S, Sugiono E, Liauw M, Rueping M. Machine assisted reaction optimization: A self-optimizing reactor system for continuous-flow photochemical reactions. Tetrahedron 2018. [DOI: 10.1016/j.tet.2018.04.019] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
|
23
|
|
24
|
Giraudeau P, Felpin FX. Flow reactors integrated with in-line monitoring using benchtop NMR spectroscopy. REACT CHEM ENG 2018. [DOI: 10.1039/c8re00083b] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
The state-of-the-art flow reactors integrated with in-line benchtop NMR are thoroughly discussed with highlights on the strengths and weaknesses of this emerging technology.
Collapse
Affiliation(s)
- Patrick Giraudeau
- UFR des Sciences et des Techniques
- CNRS UMR 6230
- CEISAM
- Université de Nantes
- 44322 Nantes Cedex 3
| | - François-Xavier Felpin
- UFR des Sciences et des Techniques
- CNRS UMR 6230
- CEISAM
- Université de Nantes
- 44322 Nantes Cedex 3
| |
Collapse
|
25
|
Schotten C, Leist LGT, Semrau AL, Browne DL. A machine-assisted approach for the preparation of follow-on pharmaceutical compound libraries. REACT CHEM ENG 2018. [DOI: 10.1039/c8re00010g] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Coupling of a continuous flow process to a robotic microwave device has led to a simple platform for the preparation of compound libraries, specifically the anti-migraine compound Zolmitriptan and several unknown analogues.
Collapse
Affiliation(s)
| | | | - A. Lisa Semrau
- School of Chemistry
- Cardiff University Main Building
- Cardiff
- UK
| | | |
Collapse
|
26
|
Zhou Z, Li X, Zare RN. Optimizing Chemical Reactions with Deep Reinforcement Learning. ACS CENTRAL SCIENCE 2017; 3:1337-1344. [PMID: 29296675 PMCID: PMC5746857 DOI: 10.1021/acscentsci.7b00492] [Citation(s) in RCA: 158] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Indexed: 05/02/2023]
Abstract
Deep reinforcement learning was employed to optimize chemical reactions. Our model iteratively records the results of a chemical reaction and chooses new experimental conditions to improve the reaction outcome. This model outperformed a state-of-the-art blackbox optimization algorithm by using 71% fewer steps on both simulations and real reactions. Furthermore, we introduced an efficient exploration strategy by drawing the reaction conditions from certain probability distributions, which resulted in an improvement on regret from 0.062 to 0.039 compared with a deterministic policy. Combining the efficient exploration policy with accelerated microdroplet reactions, optimal reaction conditions were determined in 30 min for the four reactions considered, and a better understanding of the factors that control microdroplet reactions was reached. Moreover, our model showed a better performance after training on reactions with similar or even dissimilar underlying mechanisms, which demonstrates its learning ability.
Collapse
Affiliation(s)
- Zhenpeng Zhou
- Department of Chemistry, Stanford University, Stanford, California 94305, United States
| | - Xiaocheng Li
- Department of Management Science and Engineering, Stanford University, Stanford, California 94305, United States
| | - Richard N. Zare
- Department of Chemistry, Stanford University, Stanford, California 94305, United States
| |
Collapse
|
27
|
Groves LM, Schotten C, Beames J, Platts JA, Coles SJ, Horton PN, Browne DL, Pope SJA. From Ligand to Phosphor: Rapid, Machine-Assisted Synthesis of Substituted Iridium(III) Pyrazolate Complexes with Tuneable Luminescence. Chemistry 2017; 23:9407-9418. [DOI: 10.1002/chem.201701551] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Indexed: 12/12/2022]
Affiliation(s)
- Lara M. Groves
- School of Chemistry, Main Building, Park Place; Cardiff University; Cardiff CF10 3AT UK
| | - Christiane Schotten
- School of Chemistry, Main Building, Park Place; Cardiff University; Cardiff CF10 3AT UK
| | - Joseph Beames
- School of Chemistry, Main Building, Park Place; Cardiff University; Cardiff CF10 3AT UK
| | - James A. Platts
- School of Chemistry, Main Building, Park Place; Cardiff University; Cardiff CF10 3AT UK
| | - Simon J. Coles
- UK National Crystallographic Service, Chemistry; University of Southampton, Highfield; Southampton SO17 1BJ UK
| | - Peter N. Horton
- UK National Crystallographic Service, Chemistry; University of Southampton, Highfield; Southampton SO17 1BJ UK
| | - Duncan L. Browne
- School of Chemistry, Main Building, Park Place; Cardiff University; Cardiff CF10 3AT UK
| | - Simon J. A. Pope
- School of Chemistry, Main Building, Park Place; Cardiff University; Cardiff CF10 3AT UK
| |
Collapse
|
28
|
Plutschack MB, Pieber B, Gilmore K, Seeberger PH. The Hitchhiker's Guide to Flow Chemistry ∥. Chem Rev 2017; 117:11796-11893. [PMID: 28570059 DOI: 10.1021/acs.chemrev.7b00183] [Citation(s) in RCA: 1033] [Impact Index Per Article: 147.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Flow chemistry involves the use of channels or tubing to conduct a reaction in a continuous stream rather than in a flask. Flow equipment provides chemists with unique control over reaction parameters enhancing reactivity or in some cases enabling new reactions. This relatively young technology has received a remarkable amount of attention in the past decade with many reports on what can be done in flow. Until recently, however, the question, "Should we do this in flow?" has merely been an afterthought. This review introduces readers to the basic principles and fundamentals of flow chemistry and critically discusses recent flow chemistry accounts.
Collapse
Affiliation(s)
- Matthew B Plutschack
- Department of Biomolecular Systems, Max-Planck Institute of Colloids and Interfaces , Am Mühlenberg 1, 14476 Potsdam, Germany
| | - Bartholomäus Pieber
- Department of Biomolecular Systems, Max-Planck Institute of Colloids and Interfaces , Am Mühlenberg 1, 14476 Potsdam, Germany
| | - Kerry Gilmore
- Department of Biomolecular Systems, Max-Planck Institute of Colloids and Interfaces , Am Mühlenberg 1, 14476 Potsdam, Germany
| | - Peter H Seeberger
- Department of Biomolecular Systems, Max-Planck Institute of Colloids and Interfaces , Am Mühlenberg 1, 14476 Potsdam, Germany.,Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin , Arnimallee 22, 14195 Berlin, Germany
| |
Collapse
|
29
|
Streng ES, Lee DS, George MW, Poliakoff M. Continuous N-alkylation reactions of amino alcohols using γ-Al 2O 3 and supercritical CO 2: unexpected formation of cyclic ureas and urethanes by reaction with CO 2. Beilstein J Org Chem 2017; 13:329-337. [PMID: 28326142 PMCID: PMC5331277 DOI: 10.3762/bjoc.13.36] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Accepted: 02/02/2017] [Indexed: 12/19/2022] Open
Abstract
The use of γ-Al2O3 as a heterogeneous catalyst in scCO2 has been successfully applied to the amination of alcohols for the synthesis of N-alkylated heterocycles. The optimal reaction conditions (temperature and substrate flow rate) were determined using an automated self-optimising reactor, resulting in moderate to high yields of the target products. Carrying out the reaction in scCO2 was shown to be beneficial, as higher yields were obtained in the presence of CO2 than in its absence. A surprising discovery is that, in addition to cyclic amines, cyclic ureas and urethanes could be synthesised by incorporation of CO2 from the supercritical solvent into the product.
Collapse
Affiliation(s)
- Emilia S Streng
- School of Chemistry, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Darren S Lee
- School of Chemistry, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Michael W George
- School of Chemistry, University of Nottingham, University Park, Nottingham, NG7 2RD, UK; Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo 315100, China
| | - Martyn Poliakoff
- School of Chemistry, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| |
Collapse
|
30
|
Rehm TH, Hofmann C, Reinhard D, Kost HJ, Löb P, Besold M, Welzel K, Barten J, Didenko A, Sevenard DV, Lix B, Hillson AR, Riegel SD. Continuous-flow synthesis of fluorine-containing fine chemicals with integrated benchtop NMR analysis. REACT CHEM ENG 2017. [DOI: 10.1039/c7re00023e] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Fluorine fine chemical synthesis takes a step ahead using integrated NMR online-analysis with a benchtop NMR spectrometer.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Jan Barten
- Hansa Fine Chemicals GmbH, BITZ
- 28359 Bremen
- Germany
| | | | | | | | | | | |
Collapse
|
31
|
Reizman BJ, Wang YM, Buchwald SL, Jensen KF. Suzuki-Miyaura cross-coupling optimization enabled by automated feedback. REACT CHEM ENG 2016; 1:658-666. [PMID: 27928513 PMCID: PMC5123644 DOI: 10.1039/c6re00153j] [Citation(s) in RCA: 95] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Accepted: 09/27/2016] [Indexed: 12/16/2022]
Abstract
An automated, droplet-flow microfluidic system explores and optimizes Pd-catalyzed Suzuki-Miyaura cross-coupling reactions. A smart optimal DoE-based algorithm is implemented to increase the turnover number and yield of the catalytic system considering both discrete variables-palladacycle and ligand-and continuous variables-temperature, time, and loading-simultaneously. The use of feedback allows for experiments to be run with catalysts and under conditions more likely to produce an optimum; consequently complex reaction optimizations are completed within 96 experiments. Response surfaces predicting reaction performance near the optima are generated and validated. From the screening results, shared attributes of successful precatalysts are identified, leading to improved understanding of the influence of ligand selection upon transmetalation and oxidative addition in the reaction mechanism. Dialkylbiarylphosphine, trialkylphosphine, and bidentate ligands are assessed.
Collapse
Affiliation(s)
- Brandon J Reizman
- Department of Chemical Engineering , Novartis-MIT Center for Continuous Manufacturing , Massachusetts Institute of Technology , 77 Massachusetts Avenue , Cambridge , MA 02139 , USA .
| | - Yi-Ming Wang
- Department of Chemistry , Novartis-MIT Center for Continuous Manufacturing , Massachusetts Institute of Technology , 77 Massachusetts Avenue , Cambridge , MA 02139 , USA .
| | - Stephen L Buchwald
- Department of Chemistry , Novartis-MIT Center for Continuous Manufacturing , Massachusetts Institute of Technology , 77 Massachusetts Avenue , Cambridge , MA 02139 , USA .
| | - Klavs F Jensen
- Department of Chemical Engineering , Novartis-MIT Center for Continuous Manufacturing , Massachusetts Institute of Technology , 77 Massachusetts Avenue , Cambridge , MA 02139 , USA .
| |
Collapse
|
32
|
Cortés-Borda D, Kutonova KV, Jamet C, Trusova ME, Zammattio F, Truchet C, Rodriguez-Zubiri M, Felpin FX. Optimizing the Heck–Matsuda Reaction in Flow with a Constraint-Adapted Direct Search Algorithm. Org Process Res Dev 2016. [DOI: 10.1021/acs.oprd.6b00310] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Daniel Cortés-Borda
- Université
de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6241, LINA, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
- Université
de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Ksenia V. Kutonova
- Department
of Biotechnology and Organic Chemistry, National Research Tomsk Polytechnic University, 634050 Tomsk, Russia
| | - Corentin Jamet
- Université
de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6241, LINA, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Marina E. Trusova
- Department
of Biotechnology and Organic Chemistry, National Research Tomsk Polytechnic University, 634050 Tomsk, Russia
| | - Françoise Zammattio
- Université
de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6241, LINA, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Charlotte Truchet
- Université
de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6230, CEISAM, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - Mireia Rodriguez-Zubiri
- Université
de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6241, LINA, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
| | - François-Xavier Felpin
- Université
de Nantes, UFR des Sciences et des Techniques, CNRS UMR 6241, LINA, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France
- Institut Universitaire
de France, 1 rue Descartes, 75231 Paris Cedex 05, France
| |
Collapse
|
33
|
Abstract
The pharmaceutical industry is investing in continuous flow and high-throughput experimentation as tools for rapid process development accelerated scale-up. Coupled with automation, these technologies offer the potential for comprehensive reaction characterization and optimization, but with the cost of conducting exhaustive multifactor screens. Automated feedback in flow offers researchers an alternative strategy for efficient characterization of reactions based on the use of continuous technology to control chemical reaction conditions and optimize in lieu of screening. Optimization with feedback allows experiments to be conducted where the most information can be gained from the chemistry, enabling product yields to be maximized and kinetic models to be generated while the total number of experiments is minimized. This Account opens by reviewing select examples of feedback optimization in flow and applications to chemical research. Systems in the literature are classified into (i) deterministic "black box" optimization systems that do not model the reaction system and are therefore limited in the utility of results for scale-up, (ii) deterministic model-based optimization systems from which reaction kinetics and/or mechanisms can be automatically evaluated, and (iii) stochastic systems. Though diverse in application, flow feedback systems have predominantly focused upon the optimization of continuous variables, i.e., variables such as time, temperature, and concentration that can be ramped from one experiment to the next. Unfortunately, this implies that the screening of discrete variables such as catalyst, ligand, or solvent generally does not factor into automated flow optimization, resulting in incomplete process knowledge. Herein, we present a system and strategy developed for optimizing discrete and continuous variables of a chemical reaction simultaneously. The approach couples automated feedback with high-throughput reaction screening in droplet flow microfluidics. This Account details the system configuration for on-demand creation of sub-20 μL droplets with interchangeable reagents and catalysts. These droplets are reacted in a fully automated microfluidic system and analyzed online by LC/MS. Feeding back from the online analytical results, a design of experiments (DoE)-based adaptive response surface algorithm is employed that deductively removes candidate reagents from the optimization as optimal reaction conditions are refined, leading to rapid convergence. Using the automated optimization platform, case studies are presented for solvent selection in a competitive alkylation chemistry and for catalyst-ligand selection in heteroaromatic Suzuki-Miyaura cross-coupling chemistries. For the monoalkylation of trans-1,2-diaminocyclohexane, polar aprotic solvents at moderate temperatures are shown to be favorable, with optimality accurately identified with dimethyl sulfoxide as the solvent in 67 experiments. For Suzuki-Miyaura cross-couplings, the optimality of precatalysts and continuous variable conditions are observed to change in accordance with the coupling reagents, providing insights into catalyst behavior in the context of the reaction mechanism. Future opportunities in automated reaction development include the incorporation of chemoinformatics for faster analysis and machine-learning algorithms to guide and optimize the synthesis. Adoption of this technology stands to reduce graduate student and postdoc time on routine tasks in the laboratory, while feeding back knowledge used to guide new research directions. Moreover, the application of this technology in industry promises to lessen the cost and time associated with advancing pharmaceutical molecules through development and scale-up.
Collapse
Affiliation(s)
- Brandon J. Reizman
- Department of Chemical Engineering,
Novartis Center for Continuous Manufacturing, Massachusetts Institute of Technology, Room 66-542A, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Klavs F. Jensen
- Department of Chemical Engineering,
Novartis Center for Continuous Manufacturing, Massachusetts Institute of Technology, Room 66-542A, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| |
Collapse
|
34
|
Fitzpatrick D, Battilocchio C, Ley SV. Enabling Technologies for the Future of Chemical Synthesis. ACS CENTRAL SCIENCE 2016; 2:131-8. [PMID: 27163040 PMCID: PMC4827522 DOI: 10.1021/acscentsci.6b00015] [Citation(s) in RCA: 96] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Indexed: 05/07/2023]
Abstract
Technology is evolving at breakneck pace, changing the way we communicate, travel, find out information, and live our lives. Yet chemistry as a science has been slower to adapt to this rapidly shifting world. In this Outlook we use highlights from recent literature reports to describe how progresses in enabling technologies are altering this trend, permitting chemists to incorporate new advances into their work at all levels of the chemistry development cycle. We discuss the benefits and challenges that have arisen, impacts on academic-industry relationships, and future trends in the area of chemical synthesis.
Collapse
|
35
|
Cambié D, Bottecchia C, Straathof NJW, Hessel V, Noël T. Applications of Continuous-Flow Photochemistry in Organic Synthesis, Material Science, and Water Treatment. Chem Rev 2016; 116:10276-341. [PMID: 26935706 DOI: 10.1021/acs.chemrev.5b00707] [Citation(s) in RCA: 882] [Impact Index Per Article: 110.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Continuous-flow photochemistry in microreactors receives a lot of attention from researchers in academia and industry as this technology provides reduced reaction times, higher selectivities, straightforward scalability, and the possibility to safely use hazardous intermediates and gaseous reactants. In this review, an up-to-date overview is given of photochemical transformations in continuous-flow reactors, including applications in organic synthesis, material science, and water treatment. In addition, the advantages of continuous-flow photochemistry are pointed out and a thorough comparison with batch processing is presented.
Collapse
Affiliation(s)
- Dario Cambié
- Department of Chemical Engineering and Chemistry, Micro Flow Chemistry and Process Technology, Eindhoven University of Technology , Den Dolech 2, 5600 MB Eindhoven, The Netherlands
| | - Cecilia Bottecchia
- Department of Chemical Engineering and Chemistry, Micro Flow Chemistry and Process Technology, Eindhoven University of Technology , Den Dolech 2, 5600 MB Eindhoven, The Netherlands
| | - Natan J W Straathof
- Department of Chemical Engineering and Chemistry, Micro Flow Chemistry and Process Technology, Eindhoven University of Technology , Den Dolech 2, 5600 MB Eindhoven, The Netherlands
| | - Volker Hessel
- Department of Chemical Engineering and Chemistry, Micro Flow Chemistry and Process Technology, Eindhoven University of Technology , Den Dolech 2, 5600 MB Eindhoven, The Netherlands
| | - Timothy Noël
- Department of Chemical Engineering and Chemistry, Micro Flow Chemistry and Process Technology, Eindhoven University of Technology , Den Dolech 2, 5600 MB Eindhoven, The Netherlands.,Department of Organic Chemistry, Ghent University , Krijgslaan 281 (S4), 9000 Ghent, Belgium
| |
Collapse
|
36
|
Archambault CM, Leadbeater NE. A benchtop NMR spectrometer as a tool for monitoring mesoscale continuous-flow organic synthesis: equipment interface and assessment in four organic transformations. RSC Adv 2016. [DOI: 10.1039/c6ra19662d] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
An approach is reported for monitoring continuous-flow reactions by means of a low-field benchtop NMR spectrometer.
Collapse
|
37
|
Fabry DC, Sugiono E, Rueping M. Online monitoring and analysis for autonomous continuous flow self-optimizing reactor systems. REACT CHEM ENG 2016. [DOI: 10.1039/c5re00038f] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
In this review the recent progress in the field of self-optimizing reactor systems for continuous flow chemistry is presented.
Collapse
Affiliation(s)
- D. C. Fabry
- Institute of Organic Chemistry
- RWTH Aachen
- Landoltweg 1
- 52074 Aachen
- Germany
| | - E. Sugiono
- Institute of Organic Chemistry
- RWTH Aachen
- Landoltweg 1
- 52074 Aachen
- Germany
| | - M. Rueping
- Institute of Organic Chemistry
- RWTH Aachen
- Landoltweg 1
- 52074 Aachen
- Germany
| |
Collapse
|
38
|
Franciò G, Hintermair U, Leitner W. Unlocking the potential of supported liquid phase catalysts with supercritical fluids: low temperature continuous flow catalysis with integrated product separation. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2015; 373:rsta.2015.0005. [PMID: 26574523 PMCID: PMC4650014 DOI: 10.1098/rsta.2015.0005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Solution-phase catalysis using molecular transition metal complexes is an extremely powerful tool for chemical synthesis and a key technology for sustainable manufacturing. However, as the reaction complexity and thermal sensitivity of the catalytic system increase, engineering challenges associated with product separation and catalyst recovery can override the value of the product. This persistent downstream issue often renders industrial exploitation of homogeneous catalysis uneconomical despite impressive batch performance of the catalyst. In this regard, continuous-flow systems that allow steady-state homogeneous turnover in a stationary liquid phase while at the same time effecting integrated product separation at mild process temperatures represent a particularly attractive scenario. While continuous-flow processing is a standard procedure for large volume manufacturing, capitalizing on its potential in the realm of the molecular complexity of organic synthesis is still an emerging area that requires innovative solutions. Here we highlight some recent developments which have succeeded in realizing such systems by the combination of near- and supercritical fluids with homogeneous catalysts in supported liquid phases. The cases discussed exemplify how all three levels of continuous-flow homogeneous catalysis (catalyst system, separation strategy, process scheme) must be matched to locate viable process conditions.
Collapse
Affiliation(s)
- Giancarlo Franciò
- Institut für Technische Chemie und Makromolekulare Chemie, RWTH Aachen University, Worringerweg 2, Aachen 52074, Germany
| | - Ulrich Hintermair
- Centre for Sustainable Chemical Technologies, University of Bath, Claverton Down, Bath BA2 7AY, UK
| | - Walter Leitner
- Institut für Technische Chemie und Makromolekulare Chemie, RWTH Aachen University, Worringerweg 2, Aachen 52074, Germany Max-Planck-Institut für Kohlenforschung, Kaiser-Wilhelm-Platz 1, Mülheim an der Ruhr 45470, Germany
| |
Collapse
|
39
|
Fitzpatrick DE, Battilocchio C, Ley SV. A Novel Internet-Based Reaction Monitoring, Control and Autonomous Self-Optimization Platform for Chemical Synthesis. Org Process Res Dev 2015. [DOI: 10.1021/acs.oprd.5b00313] [Citation(s) in RCA: 125] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Daniel E. Fitzpatrick
- Innovative
Technology Centre, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K
| | - Claudio Battilocchio
- Innovative
Technology Centre, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K
| | - Steven V. Ley
- Innovative
Technology Centre, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K
| |
Collapse
|
40
|
Ley SV, Fitzpatrick DE, Ingham RJ, Myers RM. Organic synthesis: march of the machines. Angew Chem Int Ed Engl 2015; 54:3449-64. [PMID: 25586940 DOI: 10.1002/anie.201410744] [Citation(s) in RCA: 309] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Indexed: 12/12/2022]
Abstract
Organic synthesis is changing; in a world where budgets are constrained and the environmental impacts of practice are scrutinized, it is increasingly recognized that the efficient use of human resource is just as important as material use. New technologies and machines have found use as methods for transforming the way we work, addressing these issues encountered in research laboratories by enabling chemists to adopt a more holistic systems approach in their work. Modern developments in this area promote a multi-disciplinary approach and work is more efficient as a result. This Review focuses on the concepts, procedures and methods that have far-reaching implications in the chemistry world. Technologies have been grouped as topics of opportunity and their recent applications in innovative research laboratories are described.
Collapse
Affiliation(s)
- Steven V Ley
- Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW (UK).
| | | | | | | |
Collapse
|
41
|
Ley SV, Fitzpatrick DE, Ingham RJ, Myers RM. Organische Synthese: Vormarsch der Maschinen. Angew Chem Int Ed Engl 2015. [DOI: 10.1002/ange.201410744] [Citation(s) in RCA: 76] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
|