Accurate chiral pattern recognition for amines from just a single chemosensor
Yui Sasaki, Soya Kojima, Vahid Hamedpour, Riku Kubota, Shin‐ya Takizawa, Isao Yoshikawa, Hirohiko Houjou, Yuji Kubo, Tsuyoshi Minami
Abstract
The current work proposes a novel method for accurate pattern recognition of (mono- and di-) amines and determination of enantiomeric excess (ee) using molecular self-assembly.
Topics & Concepts
EnantiomerEnantiomeric excessMolecular recognitionCombinatorial chemistryChemistryComputer sciencePattern recognition (psychology)Computational chemistryArtificial intelligenceStereochemistryOrganic chemistryEnantioselective synthesisMoleculeCatalysisAdvanced Chemical Sensor TechnologiesMolecular Sensors and Ion DetectionAnalytical Chemistry and Chromatography