A droplet microfluidic platform for high-throughput photochemical reaction discovery DOI Creative Commons
Alexandra C. Sun, Daniel J. Steyer, Anthony R. Allen

et al.

Nature Communications, Journal Year: 2020, Volume and Issue: 11(1)

Published: Dec. 3, 2020

Abstract The implementation of continuous flow technology is critical towards enhancing the application photochemical reactions for industrial process development. However, there are significant time and resource constraints associated with translating discovery scale vial-based batch to scale-up conditions. Herein we report development a droplet microfluidic platform, which enables high-throughput reaction in generate pharmaceutically relevant compound libraries. This platform allows enhanced material efficiency, as can be performed on picomole scale. Furthermore, data collection via on-line ESI mass spectrometry facilitates rapid analysis individual, nanoliter-sized droplets at acquisition rates 0.3 samples/s. We envision this screening expand upon robust capabilities impact drug

Language: Английский

A mobile robotic chemist DOI

Benjamin Burger,

Phillip M. Maffettone, Vladimir V. Gusev

et al.

Nature, Journal Year: 2020, Volume and Issue: 583(7815), P. 237 - 241

Published: July 8, 2020

Language: Английский

Citations

1033

A robotic platform for flow synthesis of organic compounds informed by AI planning DOI

Connor W. Coley,

Dale A. Thomas,

Justin A. M. Lummiss

et al.

Science, Journal Year: 2019, Volume and Issue: 365(6453)

Published: Aug. 8, 2019

Pairing prediction and robotic synthesis Progress in automated of organic compounds has been proceeding along parallel tracks. One goal is algorithmic viable routes to a desired compound; the other implementation known reaction sequence on platform that needs little no human intervention. Coley et al. now report preliminary integration these two protocols. They paired retrosynthesis algorithm with robotically reconfigurable flow apparatus. Human intervention was still required supplement predictor practical considerations such as solvent choice precise stoichiometry, although predictions should improve accessible data accumulate for training. Science , this issue p. eaax1566

Language: Английский

Citations

853

Closed-loop optimization of fast-charging protocols for batteries with machine learning DOI
Peter M. Attia, Aditya Grover, Norman Jin

et al.

Nature, Journal Year: 2020, Volume and Issue: 578(7795), P. 397 - 402

Published: Feb. 19, 2020

Language: Английский

Citations

761

Rethinking drug design in the artificial intelligence era DOI
Petra Schneider, W. Patrick Walters, Alleyn T. Plowright

et al.

Nature Reviews Drug Discovery, Journal Year: 2019, Volume and Issue: 19(5), P. 353 - 364

Published: Dec. 4, 2019

Language: Английский

Citations

653

Technological Innovations in Photochemistry for Organic Synthesis: Flow Chemistry, High-Throughput Experimentation, Scale-up, and Photoelectrochemistry DOI
Laura Buglioni, Fabian Raymenants, Aidan Slattery

et al.

Chemical Reviews, Journal Year: 2021, Volume and Issue: 122(2), P. 2752 - 2906

Published: Aug. 10, 2021

Photoinduced chemical transformations have received in recent years a tremendous amount of attention, providing plethora opportunities to synthetic organic chemists. However, performing photochemical transformation can be quite challenge because various issues related the delivery photons. These challenges barred widespread adoption steps industry. past decade, several technological innovations led more reproducible, selective, and scalable photoinduced reactions. Herein, we provide comprehensive overview these exciting advances, including flow chemistry, high-throughput experimentation, reactor design scale-up, combination photo- electro-chemistry.

Language: Английский

Citations

536

Organic synthesis in a modular robotic system driven by a chemical programming language DOI Open Access
Sebastian Steiner, Jakob Wolf, Stefan Glatzel

et al.

Science, Journal Year: 2018, Volume and Issue: 363(6423)

Published: Nov. 30, 2018

The synthesis of complex organic compounds is largely a manual process that often incompletely documented. To address these shortcomings, we developed an abstraction maps commonly reported methodological instructions into discrete steps amenable to automation. These unit operations were implemented in modular robotic platform by using chemical programming language formalizes and controls the assembly molecules. We validated concept directing automated system synthesize three pharmaceutical compounds, diphenhydramine hydrochloride, rufinamide, sildenafil, without any human intervention. Yields purities products intermediates comparable or better than those achieved manually. syntheses are captured as digital code can be published, versioned, transferred flexibly between platforms with no modification, thereby greatly enhancing reproducibility reliable access

Language: Английский

Citations

511

Self-driving laboratory for accelerated discovery of thin-film materials DOI Creative Commons
Benjamin P. MacLeod, Fraser G. L. Parlane, Thomas D. Morrissey

et al.

Science Advances, Journal Year: 2020, Volume and Issue: 6(20)

Published: May 13, 2020

An autonomous laboratory for thin film discovery is used to optimize the doping and annealing of organic semiconductors.

Language: Английский

Citations

511

Challenges and advances in clinical applications of mesenchymal stromal cells DOI Creative Commons
Tian Zhou, Zenan Yuan, Jianyu Weng

et al.

Journal of Hematology & Oncology, Journal Year: 2021, Volume and Issue: 14(1)

Published: Feb. 12, 2021

Mesenchymal stromal cells (MSCs), also known as mesenchymal stem cells, have been intensely investigated for clinical applications within the last decades. However, majority of registered trials applying MSC therapy diverse human diseases fallen short expectations, despite encouraging pre-clinical outcomes in varied animal disease models. This can be attributable to inconsistent criteria MSCs identity across studies and their inherited heterogeneity. Nowadays, with emergence advanced biological techniques substantial improvements bio-engineered materials, strategies developed overcome challenges application. Here this review, we will discuss major therapies application, factors impacting diversity MSCs, potential approaches that modify products highest therapeutic potential, finally usage COVID-19 pandemic disease.

Language: Английский

Citations

463

Continuous Flow Upgrading of Selected C2–C6Platform Chemicals Derived from Biomass DOI
Romaric Gérardy, Damien P. Debecker,

Julien Estager

et al.

Chemical Reviews, Journal Year: 2020, Volume and Issue: 120(15), P. 7219 - 7347

Published: July 15, 2020

The ever increasing industrial production of commodity and specialty chemicals inexorably depletes the finite primary fossil resources available on Earth. forecast population growth over next 3 decades is a very strong incentive for identification alternative other than petro-based ones. In contrast with resources, renewable biomass virtually inexhaustible reservoir chemical building blocks. Shifting current paradigm from almost exclusively to bio-based raw materials requires more vibrant political messages; it profound revision concepts technologies which processes rely. Only small fraction molecules extracted bears significant commercial potentials be considered as ubiquitous platforms upon new, industry can thrive. Owing its inherent assets in terms unique process experience, scalability, reduced environmental footprint, flow chemistry arguably has major role play this context. This review covers selection C2 C6 existing markets including polyols (ethylene glycol, 1,2-propanediol, 1,3-propanediol, glycerol, 1,4-butanediol, xylitol, sorbitol), furanoids (furfural 5-hydroxymethylfurfural) carboxylic acids (lactic acid, succinic fumaric malic itaconic levulinic acid). aim illustrate various aspects upgrading platform toward or using new that fall under umbrella continuous technology could change future perspectives biorefineries.

Language: Английский

Citations

307

Next-Generation Experimentation with Self-Driving Laboratories DOI
Florian Häse, Loı̈c M. Roch, Alán Aspuru‐Guzik

et al.

Trends in Chemistry, Journal Year: 2019, Volume and Issue: 1(3), P. 282 - 291

Published: March 6, 2019

Language: Английский

Citations

286