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Title: Enantioselective sensing of insect pheromones in water
An arrayed combination of water-soluble deep cavitands and cationic dyes has been shown to optically sense insect pheromones at micromolar concentration in water. Machine learning approaches were used to optimize the most effective array components, which allows differentiation between small structural differences in targets, including between different diastereomers, even though the pheromones have no innate chromophore. When combined with chiral additives, enantiodiscrimination is possible, dependent on the size and shape of the pheromone.  more » « less
Award ID(s):
1707347
NSF-PAR ID:
10324005
Author(s) / Creator(s):
; ; ; ; ; ;
Date Published:
Journal Name:
Chemical Communications
Volume:
57
Issue:
98
ISSN:
1359-7345
Page Range / eLocation ID:
13341 to 13344
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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