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Interfacing High-Throughput Electrosynthesis and Mass Spectrometric Analysis of Azines.
Kulesa, Krista M; Hirtzel, Erin A; Nguyen, Vinh T; Freitas, Dallas P; Edwards, Madison E; Yan, Xin; Baker, Lane A.
Afiliação
  • Kulesa KM; Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States.
  • Hirtzel EA; Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
  • Nguyen VT; Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
  • Freitas DP; Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
  • Edwards ME; Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
  • Yan X; Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
  • Baker LA; Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Anal Chem ; 96(21): 8249-8253, 2024 May 28.
Article em En | MEDLINE | ID: mdl-38717298
ABSTRACT
Combinatorial electrochemistry has great promise for accelerated reaction screening, organic synthesis, and catalysis. Recently, we described a new high-throughput electrochemistry platform, colloquially named "Legion". Legion fits the footprint of a 96-well microtiter plate with simultaneous individual control over all 96 electrochemical cells. Here, we demonstrate the versatility of Legion when coupled with high-throughput mass spectrometry (MS) for electrosynthetic product screening and quantitation. Electrosynthesis of benzophenone azine was selected as a model reaction and was arrayed and optimized using a combination of Legion and nanoelectrospray ionization MS. The combination of high-throughput synthesis with Legion and analysis via MS proves a compelling strategy for accelerating reaction discovery and optimization in electro-organic synthesis.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article