Predictive Chromatography of Leaf Extracts Through Encoded Environmental Forcing on Phytochemical Synthesis.

ABSTRACT: Environment fluctuations can influence a plant's phytochemical profile via phenotypic plasticity. This adaptive response ensures a plant's survival under fluctuating growth conditions. However, the resulting plant extract composition becomes unpredictable, which is a problem for highly standardized medicinal applications. Here we demonstrate, for the first time, the feasibility of tracking the changes in the phytochemical profile based on real-time measurements of a few environment and extract-preparation variables. As a result, we predicted the chromatograms of Blumea balsamifera extracts through an imputation-augmented convolutional neural network, which uses the image-transformed temporal measurements of the variables. We developed a sensor network that collected data in a greenh

SUBMITTER: Bacong JRC 

PROVIDER: S-EPMC8424046 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature