Work

Autonomous flow reaction optimization guided by NMR spectroscopy and advanced Bayesian optimization algorithms

Year: 2026

Type: article

Abstract: A closed-loop workflow combining an efficient optimization algorithm, an automated reaction platform, and in-line analysis using benchtop NMR enables autonomous and high-efficiency reaction optimization.

Source: Reaction Chemistry & Engineering

DOI: 10.1039/d5re00504c

Authors: Aravind Senthil Vel, Yuliia Horbenko, Nour El Sabbagh, Burkhard Groh, Daniel Cortés-Borda, Jonathan Farjon, Patrick Giraudeau, Jean-Nicolas Dumez, Jean-Philippe Krieger, François-Xavier Felpin

Institutions: Centre National de la Recherche Scientifique, Chimie et Interdisciplinarité, Synthèse, Analyse, Modélisation, Nantes Université, Syngenta (Switzerland)

Language: English

Topic: Innovative Microfluidic and Catalytic Techniques Innovation

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Agence Nationale de la Recherche, Université de Nantes, Syngenta International, Horizon 2020

Awards: MetaboHUB National Infrastructure of metabolomics and fluxomics, G7770151352, G8126848557, Chemical synthesis with a flow platform integrating self-adaptive algorithms and autonomous NMR structural determination, Développement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation

OpenAlex ID: W7118917089

FWCI: 3.459

Cites: 48

Cited by: 2

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