| Title: | Enantioselective sensing of insect pheromones in water |
| Author(s): | Hickey BL; Chen J; Zou Y; Gill AD; Zhong W; Millar JG; Hooley RJ; |
| Address: | "Department of Chemistry, University of California-Riverside, Riverside, CA 92521, USA. richard.hooley@ucr.edu. Environmental Toxicology Graduate Program, University of California-Riverside, Riverside, CA 92521, USA. Department of Entomology, University of California-Riverside, Riverside, CA 92521, USA. Department of Biochemistry, University of California-Riverside, Riverside, CA 92521, USA" |
| ISSN/ISBN: | 1364-548X (Electronic) 1359-7345 (Linking) |
| Abstract: | "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" |
| Keywords: | "Animals Fluorescent Dyes Insecta/chemistry Machine Learning Models, Molecular Molecular Structure Pheromones/*chemistry/isolation & purification Stereoisomerism Water/chemistry;" |
| Notes: | "MedlineHickey, Briana L Chen, Junyi Zou, Yunfan Gill, Adam D Zhong, Wenwan Millar, Jocelyn G Hooley, Richard J eng England 2021/11/25 Chem Commun (Camb). 2021 Dec 9; 57(98):13341-13344. doi: 10.1039/d1cc05540b" |
