Mapping sleep-promoting volatiles in aromatic plants with machine learning: a comprehensive survey of 2300 molecules

Digital Discovery 2026 Open access

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Authors: Peiqin Shi, Xing Huang, Qinfei Ke, Xingran Kou, Dachuan Zhang
DOI: 10.1039/d5dd00173k
Cited by: 1
References: 56

Abstract

Machine learning and in vivo validation uncover sleep-promoting volatiles and map their distribution across 991 aromatic plants.

Fields of Study & Subjects

Advanced Chemical Sensor Technologies Plant biochemistry and biosynthesis Sleep and Wakefulness Research

Publication details

Journal / source
Digital Discovery
Publisher
Royal Society of Chemistry (RSC)
Volume
5
Issue
3
Pages
1068–1078
Publication date
1 January 2026
Language
EN